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Master programme in Economic History Exploring the Natural Resource Curse: Norway and Nigeria - rich in oil, but very different still Felicia Ardenmark Strand [email protected] Abstract: This thesis investigates the phenomenon of the natural resource curse by making use of the resource rich countries Norway and Nigeria. The resource curse is a phenomenon where resource rich countries paradoxically have lower growth rates than resource poor countries, in spite of the growth potential offered by resource rents. Among factors contributing in creating this effect Abundance, Crowding out and Corruption are often mentioned. These three factors were investigated in connection to data and facts on Norway and Nigeria in order to establish if the resource curse exists in the two countries. Both countries were found to be resource abundant, however due to a difference in the share of resource rents in GDP only Nigeria could be concluded as resource dependent. Crowding out was found in both countries, but in different sectors. Finally corruption was concluded to have affected the Nigerian economy greatly and to be virtually non-existent in Norway. Based on these findings Norway was concluded to have escaped the resource curse, while Nigeria suffers from it. The main reason behind the difference between the two countries is concluded to rest partly in the fact that Nigeria relies more heavily on oil as a provider of financial means to the economy, but at the same time these substantial rents fail to make any impact on the lives of the average population. Key words: The Natural Resource Curse, Abundance, Crowding out, Corruption EKHR71 Master thesis (15 credits ECTS) August 2013 Supervisor: Ellen Hillbom Examiner: Tobias Axelsson Table of contents: List of Tables: ........................................................................................................................... 2 List of Graphs: .......................................................................................................................... 2 1. Introduction .......................................................................................................................... 3 1.1 Purpose .......................................................................................................................................... 4 Question 1: ...................................................................................................................................... 4 Question 2: ...................................................................................................................................... 4 Question 3: ...................................................................................................................................... 4 2. Background ........................................................................................................................... 5 2.1 Nigeria ........................................................................................................................................... 5 2.2 Norway .......................................................................................................................................... 7 2.3 The specific characteristics of oil resources .................................................................................. 9 3. The natural resource curse ................................................................................................ 11 3.1 Previous research......................................................................................................................... 11 3.1.1 The importance of geography ............................................................................................... 11 3.1.2 The importance of institutions .............................................................................................. 13 3.1.3 Differences and similarities .................................................................................................. 15 3.2 Analytical framework: The natural resource curse...................................................................... 16 3.2.1 Abundance and growth ......................................................................................................... 17 3.2.2 Crowding out ........................................................................................................................ 18 3.2.3 Corruption ............................................................................................................................ 20 4. Methodology and Data ....................................................................................................... 22 4.1 Research and design .................................................................................................................... 22 4.2 Sources ........................................................................................................................................ 22 4.2.1 Abundance ............................................................................................................................ 22 4.2.2 Crowding out ........................................................................................................................ 23 4.2.3 Corruption ............................................................................................................................ 24 5. Analysis ............................................................................................................................... 26 5.1 Abundance ................................................................................................................................... 26 5.2 Crowding out ............................................................................................................................... 30 5.3 Corruption ................................................................................................................................... 35 6. Concluding remarks ........................................................................................................... 40 References ............................................................................................................................... 42 1 List of Tables: Table 1: Percentage share of total employment in Nigeria 1986 and 2004 p.33 Table 2: Percentage share of total employment in Norway 1986 and 2004 p.33 Table 3: Corruption Perception Index results for Norway and Nigeria 1998-2012 p.36 List of Graphs: Graph 1: GDP-growth in Nigeria 1961-2010 p.6 Graph 2: GDP-growth rates in Norway 1961-2010 p.8 Graph 3: The share of oil rents of GDP in Norway and Nigeria from 19712010 p.27 Graph 4: Net oil exports given in average thousand barrels exported per day for Norway and Nigeria between 1980-2012 p.29 Graph 5: The percentage of GDP that stems from natural resources for Nigeria, Gabon and Equatorial Guniea in the time period 1970-2010 p.30 Graph 6: Different sectors’ percentage shares of total merchandise exports in Norway 19612010 p.31 Graph 7: Different sectors’ percentage shares of total merchandise exports in Nigeria 19612010 p.32 Graph 8: Percentage shares of trade in services, total natural resource rents and merchandise trade for the Norwegian economy 1970-2010 p.34 Graph 9: Percentage shares of trade in services, total natural resource rents and merchandise trade for the Nigerian economy 1970-2010 p.35 2 1. Introduction It would be logical to assume a connection between riches in natural resources and economic growth. In spite of this the opposite relationship has often been found in resource rich countries over time. This phenomenon of resource richness and low rates of economic growth is denoted “the natural resource curse”. Norway and Nigeria are two modern examples of resource rich countries; both are rich in oil. However, it is no secret that Nigeria is perceived as suffering from the resource curse, while Norway is not. Norway tends to rank well in measurements of economic development and population welfare, measurements of corruption and is a relatively stable country, while Nigeria ranks among the poor countries of the world, suffers from high corruption and has undergone several military coups. In 2010 Norway scored 8.5 in the corruption estimating index provided by Transparency International where 10 implies near to no corruption, whereas Nigeria’s score was 2.4. (Transparency International, 2013) Norway has shown rather steady positive GDP growth rates since the discovery of oil in the 1970’s. Nigeria’s GDP growth on the other hand has at times fluctuated very sharply during the same time period, ranging from -15 percent to 25 percent. (World Bank, 2013) Recent studies have shown that 70 percent of the Nigerian population have to survive on less than one dollar per day. Logically Nigeria should, as Norway presumably has, be able to draw on the potential for economic growth offered by the resource richness in a way that benefits the entire population and increases economic growth and economic development; however this has not been the case. Nigeria, like many other resource rich countries, can instead be argued as having become poorer due to its riches in natural resources. (Adegbulu, 2010, p.14) This thesis explores commonly attributed symptoms or effects of the natural resource curse in connection to Norway and Nigeria. Three such aspects have been chosen from the literature: Abundance (or resource dependence), Crowding out and Corruption. These effects will form the foundation of the research questions. In answering my chosen questions I will strive towards exploring published articles, books and papers on the subject. First a background section will provide an insight into the debate of the importance of geography compared to the importance of institutions in achieving economic growth. This will be included in order to gain insight to the relevant theories regarding economic growth before closer considering the theories on the natural resource curse. The background section will also provide basic information necessary for analysing the two countries. Such factors will concern geographical attributes, and a brief history. 3 In the analytical framework the sub-topic of the natural resource curse within the subject of economic growth and development is explored. This section will go deeper into the three effects that I have chosen to study in order to later be able to place this into the context of Norway and Nigeria. The methodology section will explain the methods employed to answer the research questions. Finally the research questions will be answered separately before some concluding remarks. 1.1 Purpose The aim of this thesis is to provide an interesting contrast between the countries Norway and Nigeria to shed some light on the natural resource curse. What makes Norway and Nigeria different from one another? This will be investigated through considering and investigating the three chosen factors commonly marked as signs of the resource curse: abundance or economic dependence on a resource (in this case oil), underdevelopment in other economic sectors than the one focused on extraction of the resource (crowding out) and corruption. These three factors have been chosen out of associated symptoms of the natural resource curse cited in several published articles and papers. The answers will enable a conclusion regarding the presence of the natural resource curse in Norway and Nigeria. Once this has been concluded a brief discussion on why Norway and Nigeria differ will be held. This will be carried out using what insights have been gained by studying Norwegian and Nigerian country facts and related theories on the natural resource curse. Question 1: To what degree are the Norwegian and Nigerian economies dependent on oil revenues, and how does this affect the economy? Question 2: Can other industries apart from the oil extracting industry be considered as crowded out (underdeveloped) in Norway and Nigeria respectively? Question 3: To what degree is there corruption in Norway and Nigeria and to what extent does corruption hinder economic growth in the two countries? What role does corruption play in the natural resource curse? 4 2. Background 2.1 Nigeria Due to its riches in resources Nigeria should be preforming rather well in terms of economic growth. Nigeria has large amounts of farmable land, gas and oil, and the Nigerian oil is considered among the purest and most expensive in the world. (Nationalencyklopedin, 1994) Geographically Nigeria has a relatively long coastline, and shares boarders with Benin, Niger, Chad and Cameroon. The Nigerian climate is tropical, making tropical diseases like malaria common. In early 2012 Nigeria was listed as the world’s eight most populated country, making it not only rich in natural resources but also in labour. Nigeria with its 155 million people encompasses a lot of diverse ethnic groups and religions and is the most populated African country. (Sachs, 2012a) Before Nigeria became a British colony it consisted of many different republics, kingdoms and empires populated by several diverse groups of people. (Hagher, 2011) These prevailing differences and diversities still make Nigeria somewhat difficult to govern and violent clashes between Christians and Muslims are an example of such conflicting interests. (Sachs, 2012a) Nigeria gained its independence from Britain in 1960. (Hagher, 2011) At the time of independence the Nigerian economy was dominated by a large agricultural sector, allowing Nigeria to sustain itself with agricultural and farming products. The discovery and exploitation of oil started in the early 1970’s and greatly affected the structure of the economy. Agriculture transitioned from being the dominating industry to being neglected, bringing Nigeria to shift from a self-sustaining agricultural country into one dependent on imports. The Nigerian society is largely focused on oil related activities and underdeveloped in terms of other economic activities and exports. In spite of this the oil industry employs a comparatively small part of the population and most people continue to work within the (inefficient) agricultural sector. (Nationalencyklopedin, 1994) In 1983 33.6 percent of employed people in Nigeria worked within the agricultural sector. By 2004 this share had increased to 46.9 percent. (World Bank, 2013) This stands in contrast to many other developing countries which have gone through industrial revolutions that diverted resources from inefficient modes of production and inefficient sectors into other more efficient ones. Thereby the economic growth and international competitiveness increases, as illustrated this transition has failed to appear in Nigeria. (Nationalencyklopedin, 1994) 5 Nigerian oil exports increased during the first oil boom. This can be seen when comparing Nigeria’s oil exports in 1972 to 1974. During this period Nigerian oil exports increased by 25 percent. The great oil price increases of the first oil boom allowed Nigeria to make industry and infrastructure investments, which contributed in making Nigeria one of the more successful African economies of the late 1970’s. The second oil boom had the opposite effect on Nigerian oil exports; causing a decrease by about half during the period 1979-1981. As oil prices began to decline during the 1980’s Nigeria faced negative GDP growth rates, creating a financial deficit. (Robinson & Torvik, 2006,) That the decreased oil exports in 1979-1981 negatively affected the Nigerian GDP-growth is confirmed when looking at Graph 1 below. In 1979 there is a sharp decline in GDP-growth to negative growth, from which the country recovered in 1982 (briefly). This corresponds to written theory on the underdevelopment of Nigerian exports and goes to suggest a connection between oil exports and GDP-growth. It is also important to note that the Nigerian GDP-growth increased sharply around the time of discovery and exploitation of oil. The large fluctuations in growth (ranging from -15 percent to 25 percent) are also interesting to note for future discussions. (World Bank, 2013) Graph 1: GDP-growth in Nigeria 1961-2010 Economic growth in Nigeria 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% Nigeria -5.0% 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 0.0% -10.0% -15.0% -20.0% Source: World Bank, 2013 Before the early 2000’s Nigeria only experienced democracy between the periods of 19601966 and 1979-1983. Outside these periods Nigeria was run by a military more interested in taking care of their own interests than those of the Nigerian people. The bad governance is reflected in the in the poor developmental statistics of Nigeria, ranging from high oil profits failing to reach the people, high corruption rates ranking as the 139th most corrupt country out of a total 174 countries in Transparency Internationals Corruption Perception Index (CPI) 6 from 2012 and poor results in development indices such as the HDI. The stagnation of the economy during the 1980’s partly created by a decline in oil prices also contributed in creating tensions among the Nigerian people. Since the fall of its last military regime Nigeria has transitioned towards a more democratic regime, which has led to many reforms and a long battle to fight corruption. (Hagher 2011) 2.2 Norway Norway is a relatively small country with a population of about five million people and is one of Europe’s most sparsely populated countries. Norway is a constitutional monarchy; with a parliamentary democracy ruled by a prime minister. As opposed to Nigeria, Norway has been an independent country since 1905 with an experience in stability even before political independence. Norway shares borders with Sweden, Finland and Russia and is located in the cold climate of the northern hemisphere. Agricultural conditions aren’t optimal in Norway, mainly due to a shortage of farmable land combined with its cold climate. Only 3 percent of Norway is currently used as farmland. As in most other industrialized countries the agricultural production in Norway has declined in importance in modern time. Norway is one of the world’s leading countries in fishing; however the fishing industry contributes fairly little value to the GDP (0.7 percent in 2011). (Landguiden, 2012) Norwegian industries have experienced similar transitions as in other industrialized countries during the last few decades. Great industries previously of large importance to the economy, such as the ship building and clothing industries, declined after facing competition from other newly industrialized countries. In spite of such declines Norway has remained a highly developed industrial nation with comparatively high rates of economic growth since the beginning of the 1970’s. Other successful branches of the Norwegian industry are companies devoted to the development of software, telecommunication systems, kitchenware, generators and navigational equipment. (Nationalencyklopedin, 1994) The high GDP growth rates of Norway, higher than in most other developed countries, can largely be attributed to the discovery of oil. Oil was discovered in Norway in 1969, and the exploitation started in 1971. Presently Norway is one of the largest oil exporters in the world, and as a result has become one of the world’s wealthier countries. However, this was not always the case, prior to the early 1970’s the economic growth of Norway was lagging in comparison to its neighbouring countries. The timing of Norway’s take-off in economic growth, together with the fact that the other (in many aspects similar) Scandinavian countries maintained rather stable levels of economic growth, establishes a logical connection between 7 the exploitation of oil and Norway’s subsequent growth burst. The importance of oil to the Norwegian economy has increased since its discovery during the early 1970’s. In the early 1980’s export earnings from oil reached one third of Norway’s annual export earnings. Oil revenues have been of great importance to Norwegian development. The great revenues made on oil enabled Norway to make both social investments and infrastructure investments. Social care is often characterized as highly developed in Norway. Norway is known for its high living standards, comparatively low inequality, good health care and active welfare state which provides for its people in times of need. (Rød Larsen, 2006) In the last decade natural gas has become of increasingly large importance to Norway and is expected to exceed the share of oil in GDP by 2020. Norwegian GDP/capita is among the highest of the world. (Landguiden, 2012) Graph 2: GDP-growth rates in Norway 1961-2010 Economic growth in Norway 7.0% 6.0% 5.0% 4.0% 3.0% 2.0% Norway 1.0% -1.0% 1961 1964 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 0.0% -2.0% -3.0% Source: World Bank, 2013 However, increasing oil revenues have also constituted a challenge to the Norwegian economy. High revenues combined with correspondingly high economic growth rates have been theorized to result in a stagnated growth of other parts of the economy since costs and prices in the economy have been driven up by the high oil revenues, thereby making other domestic industries less competitive. Furthermore the sharp decline in oil prices in 1986 and the effects brought on the Norwegian economy (illustrated in Graph 2 above) made clear the Norwegian economic dependence on oil revenues. (Nationalencyklopedin, 1994) When considering Graph 2 it is important to note that while Norwegian GDP-growth seems to have fluctuated greatly it hasn’t strayed beyond 0 more than twice in the observed 39 years. It can also be noted that the negative effects speculated on Nigerian GDP-growth in connection to 8 the oil shocks can be seen in the graph illustration Norwegian GDP-growth too. Around the time of the second oil boom 1979-1981 GDP-growth in Norway dropped sharply, which can be speculated as being connected to lowered oil exports at the time. 2.3 The specific characteristics of oil resources There are specific characteristics of oil that affect growth levels and economic activities of a country. This section mentions and explores such key characteristics to gain further relevant insight to the upcoming analysis. Some characteristics commonly attributed to the commodity oil are its price volatility, the costly nature of exploring, exploiting and transportation together with the tendency towards high levels of corruption connected to oil industries. The potentially harmful impact of oil on the economy is not geographically restricted to any particular region; it can be found in several regions of the world ranging from the Middle East to Africa or Asia. However, some geographical conditions might make it easier for an oil industry to develop, such as closeness to a coastline, something which both Norway and Nigeria possesses. (Ross, 2001) The nature of oil means that both exploring and exploiting require substantial investments and technical skills. Only those able to afford such investments and in possession of sufficient technical skill can pursue exploitation. In other words oil exploitation is often carried out by large companies or governments. The large costs can be theorized as an underlying reason behind some oil countries being richer than others. When the government has sufficient funds and skill level to pursue exploitation, then it will assume profits made and the benefits of the people might be greater. Such speculation has been made when comparing the oil extraction in Norway to that of Nigeria. Norway has financial means to invest in the exploitation itself while Nigeria has largely relied on oil companies. That this should continue to be of importance is refuted by economist Shaxson (2007) who argues that larger oil producing countries in Africa (such as Nigeria) negotiated better deals with oil companies during the 1970’s when OPEC was formed. This means that Nigeria today gets more than 50 percent of the value of its oil as state revenues, suggesting that the root of the difference lies elsewhere, in governance according to many. (Shaxson, 2007) Norway is not a member of OPEC. (Landguiden, 2012) On the note of bad governance in connection with oil Pendergast, Clarke and Von Kooten (2001) argue that the extraction of oil and other minerals attract more rent-seeking behaviour than agriculture. This is due to extraction of fossil fuels, metals or minerals being more 9 spatially concentrated than agriculture, making large shares of rents easier to appropriate. Such behaviour is avoidable with good institutions, property rights and civil law. If however, the proper systems are not in place at the point of discovery then resource abundance is likely to result in corruption, lawlessness and rent-seeking behaviour. Further the very investment dependent nature of oil extraction combined with the high value of the final product breeds corruption. In this sense oil highly differs from agriculture; an industry composed of many small producers who individually don’t make a lot of money. The potential of oil related corruption to award substantial amounts of money make it the more attractive to engage in. (Pendergast, Clarke & Von Kooten, 2001) On the other hand the point-sourced nature of oil (with few companies/extractors) simplifies taxing. This stands in contrast to resources which require less technical skill and investments to extract, such as lootable-diamonds. The nature of such resources often results in more black markets, which are more difficult to tax. For oil this means that a lot of oil rents go into the pockets of the government, however due to the often high presence of corruption this need not mean a fair distribution among the people. On the subject of corruption and oil, oil has also proven to correlate to the time politicians in non-democratic governments serve in office. These politicians in oil rich countries serve longer in office compared to non-democratic politicians in non-oil countries. A contrasting result is also achieved when comparing to nondemocratic politicians in countries rich in more lootable resources (such as lootable diamonds and minerals), which are negatively correlated to the time served in office. This can serve as an explanation to the long tradition of dictatorship of Nigeria. The rich oil resources may have contributed in prolonging the rule of military leaders for most of Nigeria’s modern history. (Andersen and Aslaksen, 2013) The volatile nature of oil prices can also affect the economy. Oil price volatility has been shown to have a negative and significant effect on GDP growth rates, long term investments, industrial production and durables consumption in tests. Among other reasons this can be attributed to investors’ unwillingness to commit due to an uncertainty regarding future incomes. Low investment rates are commonly connected to corresponding low rates of economic growth. (Eldar & Serletis, 2010, p.1139) 10 3. The natural resource curse 3.1 Previous research This section provides insight into debates within the subject of economic growth relevant to the resource curse. There are two major opposing views on which factors are significant to economic growth and represent the key behind economic development. Authors such as Sachs and Warner emphasize the role of geography, while the opposing side argued by authors such as Acemoglu, Robinson and Johnson favours the role of institutions. This theoretical background will be explored to enable a comparison and application to the cases of Norway and Nigeria at a later stage. 3.1.1 The importance of geography Some economists emphasize geography and geographical factors as essential to economic growth. One such prominent author is Jeffrey Sachs who stresses the importance of geography rather than the importance of sound institutions. Geographical factors which contribute in making countries poor are a low suitability for farming, suffering from tropical disease, being land-locked (thereby making transportation more costly and difficult) and climate. Climate and the existence of tropical diseases like malaria can be damaging to economic growth in the sense of making agriculture harder to pursue, and an increased disease burden of a country may result in higher infant fatalities, loss of labour and decreased tourism. All of these factors will decrease growth. Possession of a coastline is one geographical factor of significance to an oil country. Being land-locked could strongly affect a country with great oil resources due to the nature of oil making transport more suitable via pipelines or ships. Therefore greater sea access decreases transportation costs and facilitates export. This means a simplification in the oil industry development. Both Norway and Nigeria have a coastline, something which has lowered their transportation costs and facilitated the development of an oil industry. (Sachs, 2001b) The importance of geography is illustrated by poorly governed countries which are rich in spite of poor institutions or corrupt government. One such country is Vietnam while resource rich Bolivia is not doing nearly as well. This is explained by a difference in geography rather than differences in institutions. Vietnam is a corrupt, yet thriving country, due to its possession of a coastline enabling deep sea ports. Bolivia on the other hand lacks a coastline and close proximity to other thriving economies (such as in South Asia) looking to expand their businesses. (Sachs, 2001a) Another interesting country comparison is that of Botswana and Sierra Leone. Both are rich in diamonds, but Botswana is a more developed country. This 11 has largely to do with geographical factors, such as larger diamond assets than Sierra Leone and the involvement of the South African company De Beers. This makes it highly interesting for South Africa to supervise the exploitation process. From this can be gathered that large successful neighbouring countries may serve as setting good examples. South Africa has served as such an example for Botswana, but Nigeria is the major economy among its neighbouring countries and therefore lacks a good example to follow. It is also interesting to note the difference in where the diamonds are found. In Sierra Leone diamonds are extracted from rivers and more accessible areas, while in Botswana diamonds are recovered from mines which require more skill and machinery. This makes diamonds from Sierra Leone more lootable, just like the point sourced nature of oil revenues making revenues easy to appropriate. (Sachs, 2012b) The answer is not quite as simple as institutional differences where less developed countries are poorly governed and successful countries are well governed. According to Sachs the problems run deeper than just poor governance and will require active aid and money to be solved. (Sachs, 2001a, p. 8) Rather than emphasising the importance of institutional conditions for innovation, Sachs (2012b) chooses to stress that it is not so much innovation which matters, but the ability to adapt innovations and implement them. This in turn can greatly be affected by geographical conditions, such as climate, location and resource richness, which may hinder the implementation of innovations. Some innovations that are suitable for use in one part of the world may not be functional in another. (Sachs, 2012b) For instance, many stress that the availability of cheap coal in Great Britain was that which enabled and facilitated its industrial revolution. This technique is less likely to have been developed or used in a country with smaller amounts of coal that would have driven up the cost of such fuelled production processes. (Allen, 2011) Thus geographical conditions which may hinder the diffusion of modern technologies and innovations are more likely to greatly affect a country than the institutional climate. (Sachs, 2012b) Geographical factors related to the development of resource rich countries often concern their proneness to be more closed-off economies in terms of trade. This comes as a result of trying to balance the overemphasis on primary resources and exports. Therefore a country may be tempted to promote and protect its other industries through protectionist strategies. (Auty, 1997) Protectionism has been a popular strategy for developing countries to protect and nurture domestic industries in order to achieve economic growth, but as of late it has received much criticism. The criticism stems from a perceived connection between open trade and the 12 achievement of economic growth. In tests open economies have proved to have higher GDP growth rates, and to be more developed as a consequence of trade forcing them to commit to restructuring processes that the society may need. Without international competition reforms necessary to the economy are not forced to the same extent. Therefore protectionist trade strategies can be considered a disfavour. (Sachs & Warner, 1995b) Open trade is often favoured in resource scarce countries due to their tendency to focus on manufacturing activities. Free trade results in greater export possibilities for manufactured goods and greater import possibilities for resources which the country may need, but lacks itself. Resource scarce countries can’t afford to waste resources on inefficient activities, and therefore they have to pursue strategies to explore more efficient means of production. (Auty, 1997) A failed attempt at industrial success is what Nigeria suffered in the early 1980’s. As oil exports began to decline during the second oil boom it became increasingly difficult for Nigeria to maintain its industries, eventually leading to the creation of a financial deficit. (Robinson & Torvik, 2006) Jeffrey Sachs has in several papers strongly refuted the dismissal of geographical importance in papers written by authors such as Acemoglu, Johnson and Robinson. Sachs (2003) argues that the factors chosen when testing for geographical significance, such as distance from the equator, are entirely inappropriate. At best distance from the equator can be viewed as a poor substitution for climate. There are other factors, such as malaria proneness, which would better reflect climate in showing the effect of geography on economic growth. (Sachs, 2003) Other variables used by Sachs to study the importance of geography range from distance to the closest port, percentage of land within 100 kilometres to the sea, and the share of land in the tropics. (Sachs & Warner, 2001) Sachs argues that theoretical reasoning also provides good evidence that Acemoglu’s hypothesis is wrong in dismissing the importance of geography. Achieving economic growth is a complex relationship between geography, institutions and policies. (Sachs, 2003) 3.1.2 The importance of institutions Many who talk of institutions refer to the definition offered by Douglass North: “Institutions are the rules of the game in a society or, more formally, are the humanly devised constraints that shape human interaction.” (North, 1990, p. 3) It is often distinguished between two types of institutions in society: economic and political. Economic institutions are connected to the economic incentives in society, such as property rights and market structure. Without satisfactory property rights few will want to create or invest in society; and in that sense 13 society fails to provide the right incentives. (Acemoglu & Robinson 2008a) Economic institutions are determined by the political institutions chosen by society. A political institution may be how society is governed (e.g. monarchy, democracy or dictatorship). However, society as a whole may not always agree about questions of this sort, which may result in conflicts of interest between different groups. The most powerful group will establish its preferred institutions, maybe not in the best interest of the country as a whole, possibly resulting in inefficient institutions. (Acemoglu & Robinson 2008b) The fact that past institutional choices have an effect on income today is illustrated through the calculations on what Nigeria’s income would be if it had institutions of the same quality as Chile. These calculations show that if Nigeria had the same institutional quality as Chile the present Nigerian national income would be up to seven times as high. (Acemoglu & Robinson 2008a, p.5) Dysfunctional institutions will need to be reformed in order to achieve improvements in economic development. Altering dysfunctional institutions is difficult, but Acemoglu and Robinson (2008b) argue that changes to economic and political institutions are likely to be more successful if carried out simultaneously. This is explained by the persistent and reinforcing nature between political and economic institutions making it difficult to achieve change in one if the other remains unchanged. (Acemoglu & Robinson 2008b) Robinson and Torvik (2006) further suggest institutions which hold politicians accountable for their actions as an improvement, since that would place constraints on a politicians’ power to engage in rent seeking activities. Strong constraints holding politicians responsible have a higher likelihood of ensuring that resource rents benefit the interests of many, rather those of a small group. (Robinson & Torvik, 2006) In such a way the resource curse can be caused by weak institutions. Acemoglu and Robinson (2010) conclude that Africa is poor due to a missing connection between political and economic incentives. This is illustrated by poorly functioning markets, lacking property rights, and a state which fails to provide public goods, much of which will greatly affect the dealing with and distribution of resource revenues. A poorly functioning institutional framework can also be argued as inhibiting local entrepreneurship and innovation, thereby limiting competitiveness and growth of other industries. That this would somehow be related to geographical related factors such as illness is unfounded. Further it is difficult to argue causality in the relationship between illness and poor economic development 14 of a country. Did poor economic growth cause people to get ill, or did the illness cause poor economic growth? (Acemoglu & Robinson, 2010) 3.1.3 Differences and similarities What essentially separates the geographical theories from the institutional theories is that geographical theories concern forces of nature while the theories regarding institutions are primarily concerned with human behaviour and humanly devised creations. While the geography hypothesis emphasizes factors such as climate and disease burden, the institutional hypothesis brings forward rule of law, varying levels of technology, varying sizes of investment in human capital and differences in politics instead. (Acemoglu, Johnson & Robinson, 2003) Both theories share the point of view that differences which cause some countries to be poor, while others are rich will require action or active aid. Essentially both views share the opinion on which areas need to be addressed, what they differ in is the opinion on how they need to be addressed. Acemoglu emphasizes the importance of institutions which provide the proper incentives to encourage innovation and other activities that are commonly attributed to growth. Resource richness may hinder the development of such sound institutions in the sense that politicians will have a greater interest in pursuing rent seeking activities instead. Sachs on the other hand argues that it is not the process of innovation itself which is most important to developing countries, but rather the diffusion of existing technologies and innovations. Diffusion and the introduction of new technologies need not be hindered by a corrupt government (as illustrated by the example of Vietnam), but can potentially be made difficult by geographical conditions. Lack of coastline and proper infrastructure decreases a country’s prospects of exports and a low supply of fuels such as oil may make certain energy intensive production processes difficult to pursue. Abundance in resources may also contribute in making it uninteresting to pursue an introduction of new innovations and technologies, since the economy to a large extent can sustain itself on resource rents. (Sachs, 2012b) Considering these differences it becomes apparent that the two views of factors significant to economic growth have become somewhat polarized. Acemoglu dismisses the importance of geography completely, while Sachs at least in part acknowledges that corruption or weak institutions may have an impact, if not to the degree suggested by Acemoglu. Both authors accuse the other’s theories to be a simplification of reality. From this it can perhaps be concluded that a mixture of the two points-of view might give a better real world reflection. 15 This would suggest some merit to the ideas of institutionalists like Douglass North, which lies more in between and isn’t quite as dismissive as the other theories. It is also possible that what is most important to the economic growth and development of a country – institutions or geography – may vary over time. It is possible to theorize that geographical factors may be of greater importance when oil is first discovered, but that institutionally related factors increase in importance as the oil industry begins to develop. (Sachs, 2012b) 3.2 Analytical framework: The natural resource curse The natural resource curse is a phenomenon where resource rich countries perform worse than resource poor countries in terms of economic growth. This somewhat paradoxical relationship has been observed in several instances over time, in modern times it can be seen in several African countries, such as Zambia and Nigeria. Both countries are abundant in natural resources, but with little economic growth. Such countries provide a contrast to countries with comparatively scarce natural resources and high rates of economic growth, such as Singapore and South Korea. This relationship has intrigued many economists since its discovery, since logically the relationship should be the reverse. Abundance in natural resources should provide an advantage through a large inflow of capital that can be invested in projects aimed at improving infrastructure, increasing education, improving public health or other factors commonly associated with increased levels of economic growth and development. Instead the opposite relationship is often detected: where some resource rich countries even have negative rates of economic growth. With this said it is important to note that the commonly observed negative relationship between natural resources and economic growth is not deterministic. There are countries which can be considered as exceptions, one of which is Norway. Norway with its large oil resources is, unlike Nigeria, often considered world leading in many aspects. Norway’s differences from Nigeria can be seen not only in indices such as the HDI aimed at measuring human welfare, but also when studying other indices such as the CPI which estimates corruption. (Acemoglu & Robinson, 2008a) Studying why Norway and Nigeria differ in many aspects is interesting since their resource abundance stems from the same resource: oil. As was mentioned in Section 2.3 oil has been argued to have a negative effect on economies, in spite of increased financial means suggesting a connection to higher economic growth. Instead many oil rich countries are among the poorest countries of the world, Nigeria counting among those while Norway is an exception. (Ross, 2001) This section will provide the theoretical framework for the resource curse. In this paper three aspects connected to the resource curse will be commented upon in relation to the countries: 16 Abundance (Question 1), Crowding out (Question 2) and Corruption (Question 3). These three aspects and how they relate to the resource curse will be explained in order to later be applied to Norway and Nigeria. 3.2.1 Abundance and growth Many have tested for a relationship between growth of real GDP per capita (dependent variable) and share of resources/primary goods in total exports (independent variable). Such tests have shown a negative relationship between the two variables; a large share of natural resources in total exports often means low growth levels. (Kronenberg, 2004) In discussing the negative relationship between oil rents and economic growth it is important to distinguish between countries that are resource abundant in absolute terms and in relative terms. A country can have a large amount of resources without resource rents necessarily constituting a large share of its GDP. This relates to the difference between resource abundance and resource dependence. In a resource dependent country the rents from resources are likely to compose a large share of GDP and other sectors of the economy are likely to be underdeveloped. A country which is resource abundant is not necessarily resource dependent. (Pendergast et al., 2001) Being oil dependent, or dependent on any natural resource, is dangerous in the sense that it exposes the country to several negative effects and risks. One such risk often connected to oil is price volatility. (Sachs & Warner, 2011) Another associated risk to dependency on oil is the spatially concentrated revenues (to a limited number of extractors) which encourage rentseeking behavior and make revenues easier to squander. (Pendergast et al., 2001) Historically the possession of vast natural resources has been of larger importance than it is today. The decrease in importance largely stems from falling transportation costs, which have contributed in making import costs a mere fraction of what they were a century ago. This means that the countries without great assets of natural resources can import what they need from other countries at much lower prices than before. An example of this is Japan which in spite of not having large steel assets still managed to become successful in the shipbuilding industry during the 1970’s. Therefore the disadvantage is not nearly as large as it used to be, but might rather be reversed due to the slippery slope from resource abundance to resource dependence. A resource dependent country will tend to rely too heavily on the resource extraction sector for economic providing. This may result in several other undesirable effects, one of which is commonly referred to as “crowding out”. (Sachs & Warner, 1995a) 17 3.2.2 Crowding out Another often mentioned effect of the resource curse is crowding out. Crowding out describes the process by which the discovery natural of a natural resource and its consequent exploitation crowds out some other activity. This other activity is usually manufacturing. Since the economy can sustain itself on the large rents gained from the extraction of resources it may thus become too dependent on the resource extracting sector. (Kronenberg, 2004) A resource rich country has no real need to pursue other more efficient or productive industries and means of production. Some sectors, industries and activities are considered more productive than others. Processes like industrialization and modernization bring about the phasing out of unproductive activities and a transitioning to some more internationally competitive, productive activity. It is often thought that the revenues made on resources may hinder such processes by enabling the economy to sustain itself on unproductive activities. Resource poor countries on the other hand can’t afford to waste resources on activities and strategies that aren’t efficient, and so they pursue other roads which are often thought to lead to a larger manufacturing sector. (Auty, 1997) Thereby modernizing effects, structural shifts or transitions may be hindered or delayed in economies with large resource rents. One example includes the delay in investments made on education. Another is the shift from an agricultural society dependent on primary exports to a society more focused on manufacturing. (Ross, 2001) Crowding out is considered negative for a range of different reasons, mainly related to the benefits attributed to the manufacturing industry and a diversified economy. Manufacturing is thought important due to being commonly associated with positive externalities and spill-over effects. This differs from the resource extracting sector which is rarely associated with positive externalities. Rather than creating positive spill-over effects, a focus on resource rents is commonly connected to several negative effects, such as corruption, conflicts, inefficiencies and exposure to price volatility. The non-sustainable nature of natural resources also means a necessity to invest resource rents in other sectors to be able to maintain sustainable growth rates. However, if the resource rents are invested wisely they may indirectly create positive externalities, thereby escaping this aspect of the resource curse. The resource curse can thus turn into a blessing if resource rents are used wisely. (Ross, 2001) The manufacturing industry has a tendency to reinvest a larger share of profits than the extractive industries. This reinvestment tendency can be traced to a stronger drive to increase productivity and remain competitive, a positive circle which can be thought of as driving 18 economic growth of the economy. By not having a large manufacturing sector some of the increased technological progress, often attributed to the manufacturing sector, will inevitably be lost. (Kronenberg, 2004) Another theory related to crowding out is the so-called Dutch disease. The Dutch disease is a phenomenon of negative impacts observed upon the discovery of natural gas in the Netherlands during the 1960’s. (Davis and Tilton, 2005, p.238) More specifically, the Dutch disease is connected to increasing exchange rates, where the value of the domestic currency increases as a consequence of revenues made on the resource exploitation. (Pendergast et al., 2001) A more expensive currency will make other exports more expensive, thereby reducing the international competitiveness of the manufacturing sector. Since the manufacturing industry is commonly connected to positive externalities the loss of these positive externalities may result in long-term negative effects on the economy. (Kronenberg, 2004) It is when taking the positive externalities associated with the manufacturing sector into account that the Dutch disease can be thought of as deserving the name “disease”. If assuming no loss of positive effects and that no negative effects can come to stand from over-focusing on exports of primary products, then there shouldn’t be a problem as long as the country’s comparative advantage lies within exports of the resource in question. It is the loss of positive externalities and the creation of negative effects attributed to focusing on primary resources that make it harmful to the economy. (Sachs & Warner, 1995b) In other words the Dutch disease is known for diminishing the traded goods sector to the point where it almost disappears due to foreign competition. (Rød Larsen, 2006) This relates to Jeffrey Sachs’ and Andrew Warner’s theory regarding openness and trade. Protectionism is often used as a means of minimizing the negative effects of the Dutch disease. The intention is that protectionism should spare domestic industries of foreign competition and in that way make them thrive. (Sachs & Warner, 1995b) The effect of protectionism is that the resource extracting (primary) sector of the economy is forced to support the protected industry. Protected industries have proven to lack incentives and develop slowly in comparison to unprotected industries, thereby making the result of protectionism differ from the desired effect. (Auty, 2001) A focus on resources often leads to increased corruption levels. This is due to the point sourced nature of resource rents where the bulk of the rents usually go to a small group of 19 people. This creates further problems, since this group rarely reinvests the rents made in activities that increase productivity. (Kronenberg, 2004) 3.2.3 Corruption Nicholas Shaxson (2007) states that “the poorer and weaker a country is before the oil discovery, the more likely it is to be harmed by it”. (Shaxson, 2007, p.1123) Many, among them Shaxson himself, attribute the paradox of the resource curse to poor governance and corruption. It should be kept in mind that there is no commonly agreed upon definition of corruption as it is a complex and broad matter which encompasses many different behaviours and effects. (Shaxson, 2007) A focus on the extraction of resources such as oil and minerals often leads to a higher concentration on the revenues and production patterns of the resource. Such a phenomenon is denoted a “point sourced economy”. This stands in contrasts to the agricultural sector which often has smaller amounts of revenue spread over a larger share of the population. The concentration of revenues makes them easier for certain groups to appropriate, thereby resulting in negative effects for the economy. (Mavrotas, Murshed, & Torres, 2011) The resource curse can be argued as including two effects: the income effect and the displacement effect. The income effect results in a larger national income, while the displacement effect diverts resources from productive activities into unproductive rent seeking such as corruption. When the displacement effect is dominating the resource curse appears, which explains why some countries suffer from it while others don’t. (Mehlum, Moene & Torvik, 2006) The displacement effect refers to corruption. The impact corruption has on a society is negative in two ways. One is the negative action that corruption is: essentially a misuse of power for increased private gain. This could mean taking money from the people, resulting in an inefficient redistribution. (Robinson & Torvik, 2011) Inefficient redistribution, as a consequence of corruption and grabber friendly institutions, brings various problems, such as a weak rule of law where the government is unable to provide basic security. This may mean a stimulation of violence, looting, an increase in rebel groups, and civil wars in some cases. (Mehlum et al., 2006) The other less obvious effect of corruption on society is the diverting of resources (human capital) which could have been put to productive use, but instead engages in unproductive activities that are damaging to society. (Robinson & Torvik, 2011) This can hinder reforms necessary to improve society, due to the blocking by certain groups in order to protect the rents made on inefficient policies. That mineral-rich countries are more corrupt than others is something which may be attributed to the fact that the often frail institutions 20 can’t handle such large inflows of money that exports of the minerals bring. Weak institutions, allow a minority to monopolize power and money that should have benefited many. This process breeds corruption, and with corruption comes a loss of trust. (Kronenberg, 2004) Mehlum et al. (2006) argue that the existing institutions determine how rents are distributed and decide how interesting it is to engage in corruption. In this context a distinction between two types of institutions can be made: producer friendly institutions and grabber friendly institutions. The grabber friendly institutions allow resources to be drawn from productive sectors and activities into unproductive activities, such as corruption. Grabber friendly institutions are enabled and can be recognized by a weak rule of law, corruption or a malfunctioning bureaucracy. The fact that resources are dedicated to unproductive activities makes economic growth decrease. Based on this theory natural resources can be viewed as putting the existing institutions to the test. The resource rich countries unaffected by the resource curse had good institutions before the discovery of resources. The countries suffering from the resource curse had bad (grabber friendly) institutions that failed the test, meaning an inability to deal with resource rents appropriately. Rather than leading to riches corruption and malfunctioning bureaucracy arose as a consequence. (Mehlum et al., 2006) Oil states are likely to be rentier states. The rentier effect implies that a government might avoid being held accountable for its actions through maintaining low tax rates. Ross (2001) defines a rentier state as “a state that receives substantial rents from foreign individuals, concerns or governments” meaning that the government has little need to tax its citizens to gain funds. (Ross, 2001, p. 329) Without taxes the people have smaller claim on the government and less interest in further engaging in how the money of the state is spent. (Ross, 2001) It has also been shown that a higher rate of depletion leads to elevated corruption rates. (Busse & Gröning) Nigeria can be classified as an example of a rentier state. It is often claimed that rentier states are less democratic and that their governments are worse at achieving economic growth. (Ross, 2001) 21 4. Methodology and Data The three research questions will be regarded separately. The chosen determinants of the natural resource curse are: Abundance (Question 1), Crowding out (Question 2) and Corruption (Question 3). These will be investigated separately for both countries. The presence or absence of the three factors related to the resource curse will enable a conclusion regarding whether or not Norway and Nigeria suffer from the resource curse. This will then facilitate a discussion of what makes Norway and Nigeria differ from one another, and what the underlying reason for Norway (presumably) not suffering from the natural resource curse is, while Nigeria does suffer from the curse. The available statistics varied. 4.1 Research and design The chosen format of this thesis involves working with both quantitative and qualitative data. Much of the data is qualitative and obtained from papers. Quantitative data from sources such as the World Bank was added in order to be able to answer the research questions. The qualitative data obtained from papers will provide the foundation and framework for the thesis. The quantitative data obtained from the World Bank and U.S. Energy Information Association (eia) will then contribute to the framework by providing a real world image which can either conform or contradict the presented theories. This will then enable a comparison between Norway and Nigeria as to whether the two countries appear to suffer from the natural resource curse, and where potential differences can be said to stem from. 4.2 Sources 4.2.1 Abundance Abundance, or share of resource rents in GDP, has been investigated by using data obtained from the World Bank. The World Bank is not a bank in the traditional sense, instead it collects data and in certain cases aids with financial and technical help in development projects. This work is carried out as a part of its strategy to decrease worldwide poverty and increase development. (World Bank, 2013) As an independent organization of institutes and researchers the World Bank is known for its databases and reliable and extensive statistics. Data on oil rents as a share of GDP was available from 1971-2010 without gaps, which encompasses both the first and the second oil boom and falls after the discovery of oil in Norway. This data will be used in order to discuss natural resource abundance versus natural resource dependence. If a large share of GDP is represented by the resource in question (oil) it can be argued that the country is resource rich. How the different degrees of resource 22 abundance affect the economies of Norway and Nigeria will be further investigated in the analysis by use of this data. In order to further strengthen the analysis a comparison of resources as a share of GDP in two other Sub-Saharan oil exporters (Gabon and Equatorial Guniea) was included. This was done in order to establish if Nigeria was unique when comparing to other Sub-Saharan African countries. Data was missing from Equatorial Guniea during 1978-1984. Extrapolation was used to compensate for this. Norway and Nigeria as oil exporters is also compared in a graph (in terms of thousand barrels of oil exported per day) to strengthen the argumentation. This was made possible using data from the U.S. Energy Information Administration (eia). (U.S. Energy Information Administration, 2012) 4.2.2 Crowding out For the section investigating the crowding out of other industries data was obtained from the World Bank. Part of this data entailed the percentage shares of different sectors within exports of goods. The data was given in shares of total exports which enabled a comparison of how the size of different sectors within exports has changed over time. Exports were divided into fuels, food, agricultural raw materials, manufactures and ores and metals according to UN:s SITC (Standard International Trade Classification). The category “food” encompasses that which is traditionally meant by food such as livestock, beverages, tobacco, and vegetables. Fuels are not limited to oil; but also include coal, gas and electricity. Agricultural raw materials include skins, wood and textile fibres among other things. Examples of goods in the ores and minerals group include crude fertilizers, metal scraps, metalliferous ores and nonferrous minerals. Manufactured goods entail basic manufactures, machinery, transport equipment, chemicals and other miscellaneous manufactured goods for instance. As can be noticed when reading the descriptions of the groups many are considered primary production. However it is still of interest to distinguish between the different types to see what sectors have dominated in what time and how the discovery of oil has affected the composition of exports. (United Nations Statistics Division, 2013) The share of these groups in total exports of goods (merchandise) have been studied between the years 1961-2010 in order to investigate a possible crowding out effect. Due to some gaps in the data I extrapolated the values for 1980, 1982, 1988-1990 and 1992-1995 for Nigeria and 1986-1987 for Norway. This was done by computing the average of the year prior and after the gap. It is not judged that this should have had a significant distorting effect on results. The results were illustrated in Graphs 2 & 3 and are presented together with the analysis relating to Question 2 in section 5.2. 23 To further strengthen the analysis the share of total labour within the various sectors was also investigated using data from the World Bank. Due to lacks in data the results will only be presented as a comparison of two years, 1986 and 2004. The results of this are presented in Tables 1 & 2. This is still judged to be relevant, since the two observed years are 18 years apart. The share of services, natural resource rents and merchandise goods (after deducting natural resource rents) is also presented in two graphs in order to give and image of the Norwegian and Nigerian GDP’s. The data was obtained from the World Bank. The results of this are presented in Graphs 8 & 9. 4.2.3 Corruption For the investigation of corruption the CPI (Corruption Perception Index) by Transparency International was used. This index is traditionally held in high regard by prominent institutions such as the World Bank, however there are some criticisms. Some of these criticisms are presented together with a brief presentation of the CPI and Transparency International below. Due to the relatively recent interest in assessing corruption levels in a country I was unable to find statistics prior to 1998. This means that prior to 1998 there will be a comment on the likelihood of corruption in both countries based on determinants of corruption and the country history. Transparency International is a Berlin-based non-government organization (NGO) which is famous for its index “CPI” (Corruption Perception Index) aimed at measuring corruption in countries. When using indices that estimate corruption it is important to remember that corruption cannot be quantifiably measured. The CPI is based on the perception of corruption in a country, meaning that it is founded on people’s subjective views. CPI is computed making use of assessments and surveys on corruption which are compiled by various esteemed institutes. This needs to be kept in mind when considering the values; however the CPI and Transparency International are internationally held in high regard by several prominent institutions. With this in mind I have chosen this index for the estimations of corruption. The index ranges from 0-10 where 10 is the best score which can be obtained, indicating a highly clean country in terms of corruption. (Wang & Rosenau, 2001) Some critics argue that the definition of corruption used for the CPI is too narrow. Transparency International uses the definition “the misuse of entrusted power for private gain”. (Shaxson, 2007, p.1126) This definition concerns behaviour, such as bribery. However, bribery is merely one form, a symptom one could argue, of the more systemic issue of 24 corruption. The choice to focus CPI on internal corruption within a country means a domestic focus on something which is a global issue. Switzerland known for its banks and shady bank accounts, ranks as one of the less corrupt countries in the world terms according to the CPI, which may raise some doubts. The CPI ranks Nigeria as a highly corrupt country, however not Switzerland presumably houses some stolen funds of the Nigerian people. (Shaxson, 2007) 25 5. Analysis This section continues to explore the difference between Nigeria and Norway, in terms of why Norway has (presumably) managed to escape the resource curse while Nigeria hasn’t. This is done by applying the previously mentioned theories to the two countries. The factors will be investigated separately. 5.1 Abundance The term “Abundance” comes from a paper written by Sachs and Warner (1995a), in which they found that a large share of resource rents in GDP had a negative impact on economic growth. (Sachs & Warner, 1995a) It is important to distinguish between resource abundance and resource dependence. Resource abundance is not harmful; however resource dependence can be dangerous in the sense that it exposes countries to several negative effects and risks, such as price volatility. Oil price volatility will have great effects on the economy if oil revenues are the nation’s primary source of income. Both Norway and Nigeria have experienced negative effects of oil price volatility in the past. In spite of this there is still a large difference when comparing the abundance of Norway to that of Nigeria, which is seen in Graph 3. As shown by the graph below Nigeria’s share of oil rents in GDP have only strayed below 20 percent during the beginning of exploitation, while Norway’s share has stayed around or below 10 percent during the observed time period, making the Nigerian share constantly at least twice the size that of Norway during the observed period. Oil rents constitute a much larger share of GDP in Nigeria than in Norway, which makes Nigeria more exposed to oil price volatility. While changes in oil price will affect both countries it will undoubtedly affect Nigeria to a greater degree since it relies more heavily on its oil revenues than Norway. (Sachs & Warner, 2001) 26 Graph 3: The share of oil rents of GDP in Norway and Nigeria from 1971-2010 60.0% 50.0% 40.0% 30.0% Nigeria Norway 20.0% 10.0% 2010 2007 2004 2001 1998 1995 1992 1989 1986 1983 1980 1977 1974 1971 0.0% Source: World Bank, 2013 Graph 3 makes use of data obtained from the World Bank to illustrate how the percentage share of oil rents in Norway’s and Nigeria’s respective GDP changed during the time period 1971-2010. The graph clearly shows that oil rents compose a larger share of GDP in Nigeria than in Norway. As can be seen there have been times (early 1980’s) when Nigeria’s share of oil rents in GDP has been five times the size of Norway’s share. Nigerian oil rents have also fluctuated more over the course of time than the Norwegian oil rents have, but the general pattern is fairly similar when taking into account that all changes are greater in Nigeria. The graph fits well with the previously mentioned numbers on Nigerian oil rents. Nigeria’s oil rents did indeed increase during the time of the first oil boom (1972-1974), and it’s possible to distinguish a drop in oil rents as a part of GDP during the time of the second oil boom (19791981) as was previously mentioned. Logically this can be deduced as relating to the drop in Nigerian oil exports during the same time period. The drop in oil revenues after the second oil boom is largely what brought on the Nigerian negative growth rates in the early 1980’s and contributed in creating Nigeria’s large financial deficit. This is good evidence of what the cost of resource dependence may be and how Nigeria has suffered those consequences in the past. (Robinson & Torvik, 2006) Abundance has not proved to have a negative effect on GDP growth in itself. Rather, if the economic structure of society is diverse, then abundance has proven in tests to have significant positive effects on growth. It is when abundance transitions into dependence and the economy comes to rely too heavily on resource rents that it becomes negative. This is 27 prevented by promoting a more diverse economy, with different sectors that can serve as a cushion in times of high price volatility or a lack of resources. (Mavrotas et al., 2011) While Norway has diversified into other sectors and invested a large share of its oil rents abroad, the same can’t be said for Nigeria. This means that Nigeria as an economy has exposed itself to oil price volatility and is more sensitive to changes in oil price. Changes in oil price will undoubtedly affect Nigeria to a greater degree, thereby making the distinction between resource abundance and resource dependence relevant. (Sachs & Warner, 2001) It has also been found that a large share of oil rents in GDP is related to an increased chance of conflicts and civil war. (Pendergast et al., 2001) The process of dividing resource rents may result in conflicts due to difficulties in determining distribution and fair shares. In diverse countries such as Nigeria, which encompasses many differing groups (with differences such as ethnicity, religion, political factions), the risk of inner conflicts is elevated by the discovery of oil. This can be illustrated in the sub-divisions of Nigeria since its independence in the 1960’s. In 1960 Nigeria consisted of three regions, today those three regions have been divided into 36 states. Conflicts among minorities in states have led to this increased division, since the minorities have demanded to become their own states when feeling that they’re not getting an appropriate share of oil revenues. Shaxson (2007) states that empirically there is evidence that divided societies perform worse than more homogenous societies in terms of economic growth. However, the elevated frequency of conflicts in developing countries has a negative impact on governance, often resulting in a weaker quality of the institutional framework. Such conflicts are still common in Nigeria, and fights regarding oil rents are far from over. (Shaxson, 2007) In Graph 4 below the differences in thousand barrels of oil exported per day can be seen. Here it becomes clear that Norway has exported more barrels per day than Nigeria for the last 20 years, and thereby could be seen as the larger producer of the two, in spite of Nigeria presently exporting more. However, in spite of this it is still unlikely that Norway should be the richer of the two as a result of exporting larger volumes of oil. (U.S. Energy Information Administration, 2012) While Norway may export more oil in volume, that which is exported still constitutes a smaller share of its GDP as was illustrated in Graph 3. This would imply that Norway still is not as resource dependent as Nigeria. For most of the observed period Norwegian oil exports barely surpassed 10 percent of GDP. Nigeria on the other hand ranged between incomes that composed 30-50 percent of GDP, implying that even though the 28 volumes exported were smaller the revenues made were still highly significant to the economy. (World Bank, 2013) Graph 4: Net oil exports given in average thousand barrels exported per day for Norway and Nigeria between 1980-2012 3500 3000 2500 2000 Norway 1500 Nigeria 1000 500 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 0 Source: U.S energy Information Administration, 2012 Graph 5 compares the degree of natural resource dependence by comparing Nigeria to some other sub-Saharan oil producing countries. By looking at the graph it becomes clear that Nigeria is not as extreme in its resource dependence as it might seem when compared to Norway. In fact, as can be seen in Graph 5, Nigeria is rather stable in its share of natural resources in GDP compared to Gabon and Equatorial Guniea, which both have spikes where the share of natural resources in GDP surpass 70 percent. This means that Nigeria is not unique among Sub-Saharan countries in its resource dependence. (World Bank, 2013) In spite of Nigeria’s substantial resource rents earned on oil it still experiences many of the financial difficulties of the other sub-Saharan African countries. This is something which not the least can be seen in the fact that 70 percent of the Nigerian population survived on less than one dollar per day in 2004. That Nigeria can earn so much money on oil and still have a population that poor would strongly suggest an inability to take care of the rents earned, which will be further discussed when answering question 3. (Adegbulu, 2010, p.14) 29 Graph 5: The percentage of GDP that stems from natural resources for Nigeria, Gabon and Equatorial Guniea in the time period 1970-2010 90.0% 80.0% 70.0% 60.0% 50.0% Nigeria 40.0% Gabon 30.0% Equatorial Guinea 20.0% 10.0% 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 0.0% Source: World Bank, 2013 All this goes to suggest that resource dependence has great effects on the economy of a country. While Nigeria clearly relies heavily on its resource rents, Norway is more of a borderline case. Both countries have however gotten to experience the downside of relying too much on the rents provided by resource exports. This is most apparent when studying Nigeria, due to its share of resource rents in GDP being consistently more than twice that of Norway’s. Thus it can be concluded that resource dependence affects a country in several different ways, two of them being exposure to price volatility and increased risk of conflicts. This goes in line with the discovery of Sachs and Warner (1995b) that a focus on resource extraction has a negative effect on GDP growth. This result proved relevant, even when accounting for the effect of price volatility, thereby concluding that a complete focus on resource extraction is not viable. In none of the investigated cases GDP growth was stronger after the resource boom was completed than before its initiation. (Sachs & Warner, 1995b) 5.2 Crowding out As can be seen in Graph 6 the share of manufactured exports has fluctuated in Norway between the years 1961-2010. For the initial ten years studied manufactured goods composed the largest share, but after the oil discovery in the 1970’s fuels soon surpassed. A breaking point can be identified around the year 1979 where fuel exports became larger than the exports of manufactured goods. In spite of this Norway still has somewhat diversified exports, even though the share of manufactured goods have dropped from its height around a 60 percent share in the early 1970’s, to a mere 20 percent today. Manufactured goods in total 30 exports did decrease around the time of the oil discovery in Norway; however correlation between the two events can only be speculated. This drop still offers some proof to the theory of crowding out, implying that the discovery and increased focus on oil may have caused manufactures to decrease. Graph 6: Different sectors’ percentage shares of total merchandise exports in Norway 1961-2010 100.0% 90.0% 80.0% Food 70.0% Fuel 60.0% 50.0% Manufactures 40.0% Agricultural raw materials 30.0% 20.0% Ores and metal exports 10.0% 1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 0.0% Source: World Bank, 2013 In Graph 7 below merchandise exports for Nigeria is broken down into the same subsections as for Norway. Nigerian fuel exports are larger than any other included exports, just as in Norway. However, the degree to which the fuels exported exceed other exports is far greater in Nigeria. Aside from this there are further differences. Fuel exports dramatically increased to levels ranging between 90-100 percent of total exports after the discovery of oil in the early 1970’s. The crowding out theory mainly concerns the manufacturing sector, and how the manufacturing sector is likely to suffer from increased exports of natural resources. However, as is illustrated in Graph 7, the manufacturing sector has never been large in Nigeria. This does not mean that the development of a manufacturing industry wasn’t prevented by the growing oil extracting sector, but based on the graph alone all that is seen is that manufacturing seems to have remained at a relatively constant share of merchandise exports during the period. Exports of food on the other hand have decreased sharply since the oil discovery, but food and the agricultural industry are rarely mentioned in theories concerning crowding out. Instead a decline in agriculture is often suggested as something leading to further development (often meaning a shift of labour into more profitable and efficient 31 industries), and associated with positive externalities. (World Bank, 2013) It can be gathered that Nigerian leaders have failed at trying to diversify the Nigerian economy, something illustrated in Graph 7, and in the fact that up to 95 percent of foreign exchange earnings in Nigeria stemmed from oil exports during the investigated period. (Agibiboa, 2010) Graph 7: Different sectors’ percentage shares of total merchandise exports in Nigeria 19612010 100.0% 90.0% 80.0% Food 70.0% 60.0% Fuel 50.0% Manufactures 40.0% 30.0% Agricultural raw materials 20.0% Ores and metal exports 10.0% 1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 0.0% Source: World Bank, 2013 Agricultural decline can nevertheless be said to have been of significance to the Nigerian economy, and perhaps offer the greatest evidence of a possible affliction of Dutch disease. Around the early 1980’s the share of agriculture in Nigerian GDP had sunk to a mere fraction of its 68 percent in 1965. (Sala-i-Martin & Subramanian, 2003, p.15) In spite of this the agricultural sector is still the largest employer in Nigeria, though its output has decreased rather significantly. The decline in output is mainly due to the use of old techniques and an introduction of new farming techniques that has failed to occur. According to the Statistical Bureau in Nigeria about 60 percent of the Nigerian population is presently employed by the agricultural sector. The large share of employed labour within agriculture in Nigeria also poses a problem to development in the sense that agriculture has very low profit margins. This is likely to mean an inefficient use of labour, but also that other sectors of the economy aren’t developing properly. In spite of being rich in land Nigeria has grown to be a large importer of food since the discovery of oil, and is currently far from able to sustain itself with food. Before the discovery of oil Nigeria was the world’s largest exporter of palm oil and peanuts, 32 however presently Nigeria only makes use of an approximate half of its farmable land. (The economist, 2013) Table 1: Percentage share of total employment in Nigeria 1986 and 2004 Sector Agriculture Services Industry 1986 46.9% 43.7% 7.5% 2004 44.6% 41.7% 11.5% Period Source: World Bank, 2013 Table 1 compares percentage shares of employment in Nigeria years 1986 and 2004 and shows little change in the last 20 years. Employment has increased slightly within industry and decreased for agriculture and services. The size of the service industry is an indicator of the transition from agriculture to industry and then from industry to services was interrupted. The Nigerian economy transitioned straight from agriculture to services instead, something which may have resulted in a loss of the benefits brought by a larger industry focus. This lack of industrialization could be argued as a weak link for many developing countries dependent on natural resources. The loss of positive externalities connected to manufacturing and an industry focus are likely to only exacerbate the resource curse and its negative effects. The lack of industry focus is also likely to have prevented the Nigerian manufacturing industry from flourishing. This cannot be seen when looking at Norway, since Norway has had a large manufacturing industry, which becomes clear when studying Graph 6 and considering the Norwegian export history. This is also reflected in Table 2 which illustrates the percentage share of employment in Norway years 1986 and 2004. Industry and agriculture employed larger shares of the population in 1986, but by 2004 those shares had declined in favour of services. This goes to illustrate that Norway did not skip the industry-phase, and thereby the benefits often attributed to industry are unlikely to have gone lost. (World Bank, 2013) Table 2: Percentage share of total employment in Norway 1986 and 2004 Sector Agriculture Services Industry 1986 7.2% 65.9% 26.7% 2004 3.6% 75.5% 20.8% Period Source: World Bank, 2013 That the share of manufactures in Norwegian exports (as Graph 6 shows) has decreased to about half the share of exports compared to before the discovery of oil, suggests some crowding out. The lack of modernizing effects theorized as connected to a small 33 manufacturing sector according to the crowding out theory is more tangible in Nigeria, a country with poor infrastructure, a large share of population still employed in agriculture and low rates of literacy. (Hagher, 2011) Norway on the other hand, as previously mentioned, places higher in development ratings, and does not appear to suffer from any obvious lack of modernization. The positive externalities that are thought to go lost with manufacturing haven’t gotten lost in Norway, a country which is doing well in many country comparisons. (Landguiden, 2012) The almost 100 percent share of oil in total exports further suggest (as was discussed in Question 1) that Nigeria is not just an oil abundant economy – it is an oil dependent economy. That crowding out has taken place can be assumed in the case of Nigeria, since the other studied sectors of the economy have shrunk to an almost non-existent share of exports. Norway on the other hand has a more diversified economy than Nigeria. This is further strengthened when comparing Graphs 8 and 9 which illustrate the percentage shares of services, resource rents and merchandise trade (deducting natural resource rents) in GDP. Graph 8 which depicts the Norwegian economy shows that natural resource rents have been of varying importance to the economy, without constituting the largest share of GDP. The general picture reflected is that of an economy which as a whole is not as dependent on resource rents as the Nigerian economy. (World Bank, 2013) Graph 8: Percentage shares of trade in services, total natural resource rents and merchandise trade for the Norwegian economy 1970-2010 60.0% Trade in services (% of GDP) 50.0% 40.0% Total natural resources rents (% of GDP) 30.0% 20.0% Merchandise trade without natural resource rents (% of GDP) 10.0% 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 0.0% Source: World Bank, 2013 34 Graph 9: Percentage shares of trade in services, total natural resource rents and merchandise trade for the Nigerian economy 1970-2010 60.0% Trade in services (% of GDP) 50.0% 40.0% Total natural resources rents (% of GDP) 30.0% 20.0% Merchandise trade without natural resource rents (% of GDP) 10.0% 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 0.0% Source: World Bank, 2013 Graph 9 illustrates the division of the Nigerian economy. Natural resource rents are the dominating share of GDP and services are the smallest sector. The image is approximately as balanced as the Norwegian, in the sense that the shares are of about the same size. The difference is the fact that the order is reversed and Nigerian GDP shares fluctuate mote sharply than Norwegian GDP shares. That the resource extracting industry is the largest again goes to show that Nigeria is more exposed to the dangers of relying too heavily on resource extraction. The evidence provided illustrates that crowding out can be said to have occurred in both Norway and Nigeria. With this in mind the negative effects of crowding out are more apparent in Nigeria than in Norway. In Nigeria the manufacturing industry failed to develop and in Norway it decreased in size once oil exploitation began. Thus other industries can be said to have suffered from the focus on resource extraction, even though the effect may have been largest in Nigeria, where manufacturing can perhaps be said to have suffered the most due to barely having developed at all. (World Bank, 2013) 5.3 Corruption The table below shows the CPI scores for Norway and Nigeria between the years 1998-2012. It is hard to obtain data on indexes estimating corruption levels, so the period before 1998 will be commented upon without referring to any index. Prior to the beginning of the CPI in 1998 Nigeria had suffered several military coups and was run by a non-democratically elected government for the larger part of the studied time period. (Hagher, 2011) Norway, on the 35 other hand, as a constitutional monarchy has been ruled by a democratically elected government for more than a century. This illustrates that the state of the two nations differed greatly. This can be offered as the fundamental cause behind the difference in handling resource rents. While it is well documented that Norway established an oil fund and invested its resource rents into projects widely regarded as sensible, Nigeria failed to turn its resource rents into something good. (Landguiden, 2012) Table 3: Corruption Perception Index results for Norway and Nigeria 1998-2012 Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Score Nigeria 1.9 1.6 1.2 1 1.6 1.4 1.6 1.9 2.2 2.2 2.7 2.5 2.4 2.4 2.7 Norway 9 8.9 9.1 8.6 8.5 8.8 8.9 8.9 8.8 8.7 7.9 8.6 8.6 9 8.5 Rank Nigeria 81 98 90 90 101 132 144 152 142 147 121 130 134 143 139 Norway 8 9 6 10 12 8 8 8 8 9 14 11 10 6 7 Total amount of countries 85 99 90 91 102 133 145 158 163 179 180 180 178 182 174 Source: Transparency International, 2013 It has been argued that Nigeria was not a corrupt country in the early years of independence, but rather that the corrupt values came to stand after the long years of military rule. The closed, rank-based system of the military is thought to facilitate corruption and increase the difficulty of making allegations of corruption. Claims regarding corruption towards another would quickly result in a loss of power and position. This structure of non-voicing of problems with corruption can be seen through the prosecution of journalists for trying to compose investigative stories regarding corruption among high officials. (Adegbulu, 2010) The failure of Nigerian politics can easily be seen when investigating the development of the country in areas such as infrastructure, literacy and life expectancy. During the period 19601998 Nigeria was still a very poor country, which shows its inability to turn the riches made on resources into good investments aimed at improvements to the country. The negative effects of Nigerian corruption can be seen in the poverty of the Nigerian population. In 2004 36 70 percent of the Nigerian population was getting by on less than one dollar per day. Development reports since point to the fact that the poverty gap has increased, rather than decreased. This is in spite of Nigeria being one of the ten largest oil exporters of the world. (Adegbulu, 2010) The failure to invest resource rents wisely makes it highly probable to assume a high degree of corruption in Nigeria during the investigated time period. It is likely that the resource rents were diverted elsewhere in a manner classified as corruption. In Norway on the other hand resource rents are well-documented to have been used sensibly and in ways that have given tangible results, thus making it less likely that substantial shares of oil rents have disappeared. Therefore it is concluded that based on past performance and historical facts Norway is likely to have suffered from little corruption, whereas it is probable that Nigeria was highly corrupted. (Transparency International, 2013) As illustrated in Table 3 the amount of countries included in the CPI has varied over time, and nearly doubled since the index began. Norway has persistently been part of the top ranking countries with scores close to ten, which is the maximum. Nigeria on the other hand has not performed as well, but has rather had scores around two and ranked among the worst performing countries. (Transparency International, 2013) This fits in well with the previously explored image of Nigeria as a country with grabber-friendly institutions afflicted by symptoms closely associated with corruption over time. Nigeria’s large ethnic diversity may have led to increased competition between different ethnic groups over resource rents. Nigeria has also suffered several military coups. (Hagher, 2011) Corruption is theorized by many as highly linked to the natural resource curse. Finding large assets of a valuable resource has led to many cases of embezzlement and corruption. This is theorized to have its origin in the fact that the afflicted countries don’t have the proper institutions in place to handle the exploitation and the profits that are brought as a result of the discovery. The lack of proper institutions relates strongly to Nigeria in the sense that at the time of oil discovery Nigeria was still a newly independent country which struggled to find its footing in a developing region. That Nigeria was suffering from internal rifts and military coups is likely to have contributed to the failure to develop sound institutions to oversee that the exploitation of oil proceeds became beneficial to the population as a whole. (Mehlum et al., 2006) Norway on the other hand, as a stable nation at the time of the discovery had stable and sound institutions in place. This is illustrated by the establishment of its oil fund, which was created with the purpose of safeguarding the oil riches for future generations and times of need, instead of squandering it all at once. Perhaps this would suggest that the timing of an oil 37 discovery is not unimportant. Had Nigeria been given a chance to establish a stable rule and good institutions after independence the present economic situation might have been very different. With this in mind, corruption is highly relevant to the natural resource curse. However, this does not mean that the abundance of natural resources is sure to bring corruption, since some countries (like Norway) are regarded as having prevented the development of large corruption. (Rød Larsen, 2006) However, keeping this in mind the question is if corruption really is the hindrance to economic growth it is frequently made out to be. Jeffrey Sachs (2001a) uses Vietnam as an example of this. Vietnam is one of the south Asian countries with high growth rates, yet it is still commonly acknowledged that Vietnam suffers from corruption. If corruption carries such significance to economic growth: How come Vietnam has managed to achieve its high growth levels in spite of it? This makes it relevant to consider how severe corruption is. Though few would argue that corruption isn’t negative, some like Sachs, would argue that it is not the definite horror it’s commonly made out to be. Corruption cannot be said to hinder all economic growth and development, but rather (as seen in the example of Vietnam) it is possible to achieve economic growth in spite of it. Therefore it is necessary to consider more factors as possible detriments to economic growth, and not just assume that corruption is the only answer to why certain resource rich countries, such as Nigeria, fail to turn their resource rents into sensible investments. (Sachs, 2001a) After years of corruption Nigeria now suffers from a bad image worldwide. This makes it difficult to attract much needed investors to other non-oil related projects that could help boost the economy and aid in achieving economic growth. (Adegbulu, 2010) The famous writer Chinua Achebe once wrote “corruption in Nigeria has passed the alarming and entered the fatal stage; and Nigeria will die if we keep pretending she is only slightly disposed”, which is perhaps a most fitting description to the situation in Nigeria. (Achebe, 1983, p.58) Since Nigeria receives such substantial incomes on oil revenues it seems almost impossible that its population can be so poor. Undoubtedly, as has been concluded by many authors, the funds gained on oil exports are diverted elsewhere in such a manner that corruption becomes a detriment to economic growth. Thus corruption is of great importance to the (low) growth rate of the Nigerian economy, without having affected the Norwegian economy to the same extent. From this it can be concluded that corruption does play a large part in the resource curse, since it largely is that which Nigeria is afflicted by, but which has spared Norway. Norway can be said to be spared from the resource curse, with some few exceptions, while Nigeria is a 38 typical example of the resource curse. Thereby it can be concluded that corruption plays a large role in the resource curse, but how corruption affects society itself is rather dependent on the state of the society. A country which is stable at the time of discovery, with few conflicts and sound institutions (like Norway) has better chances of achieving economic growth and escaping the resource curse. A country like Nigeria on the other hand, which possessed none of these mitigating qualities, is much more likely to suffer from corruption, as has been documented. (Acemoglu & Robinson 2008a) 39 6. Concluding remarks In answering my three chosen questions it became clear that in spite of sharing richness in oil, Norway and Nigeria differ greatly. Both Norway and Nigeria can be considered as having an abundance of oil, even though the share of oil rents in GDP is larger in Nigeria than in Norway. The differences between the two countries become more apparent when looking at oil dependence. Norway has a more diverse economy with different sectors, in spite of oil representing a fairly large share of total exports. Therefore the Norwegian economy is less sensitive to fluctuations in price levels. Norway has also strived to invest oil rents (its “oil fund”) in a diverse number of countries and industries, so as to minimize the crowding out effect, Dutch disease possibility and increase the profitability of the fund itself. This stands in great contrast to Nigeria. When looking at the composition of Nigerian exports it becomes clear that oil represents almost a 100 percent of Nigerian exports. When looking at total exports the manufactured sector is almost non-existent and the agricultural sector has also decreased in size. The differences continued when investigating corruption. Norway with its low levels of corruption can be viewed as an example illustrating how good institutions can offset the possibly negative impact of resource abundance on an economy. Nigeria however is known for its high levels of corruption, often illustrated by the great revenues made on oil scarcely benefitting the people. It is estimated that Nigerian oil revenues in total between the years 1965-2000 amounted to 350 billion dollars (in constant 1995 dollar levels). However, in spite of this Nigeria hardly put the revenues made to good use. Corruption is still high, welfare is still reportedly low and the country is still counted among the less developed countries of the world. (Sala-i-Martin & Subramanian, 2003, p.4) It’s difficult to say exactly what the reason behind Norway and Nigeria performing so very differently is. As illustrated some authors point to the relevance of geographical factors, such as climate, whereas others emphasize the importance of institutions of society. In all likelihood the answer lies somewhere in between. While it is true that Nigeria is geographically located in a different region than Norway, with a different climate and different neighbours, it is also true that Norway was a more stable and established society before the oil discovery. Norway already had institutions in place able to deal with oil rents appropriately, whereas Nigeria was run by a non-elected military regime. From this viewpoint the discovery of resources can be thought as a test to the existing institutions. If institutions 40 are good, then geographical disadvantages can be compensated for and the rents will benefit a larger share of society. However, with dysfunctional institutions the money will breed corruption and only benefit a few. With this being said the investigated aspects of the resource curse fit together like pieces of a puzzle, and must all be addressed. While it is important not to get too dependent and making sure of this by diversifying the economy, it is also important to take good care of the resource rents earned. In this sense the underlying reason for Norway and Nigeria being two countries which on paper would have similar opportunities, but in reality perform so very differently, probably lies somewhere in between the institutional and geographical views. Both views have merit, and in my opinion they offer the most merit when combined. Neither institutional nor geographical weaknesses should be ignored, but ideally addressed together. However, this being said perhaps Jeffrey Sachs was right to argue that “a complete answer to what is behind the curse of natural resources therefore awaits a better answer to the question about what ultimately drives growth”. 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