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Equity and Economic Growth University of Warsaw, School of Economic science Zoljargal Munkhsaikhan Introduction The relationship between equity and economic growth has long attracted the interest of researchers. Whether inequality helps or harms future economic growth? The issue remains contentious. Past studies find differing effects when considering rich and poor countries, regions versus nations and so on. Economic theories that hypothesize that income inequality harms growth can be grouped into three categories: First, the political-economy approach hypothesizes that in unequal societies redistribute resources from rich to poor . Increase in income inequality inhibits economic growth. Second, income inequality retards growth by encouraging social conflict within societies. In this manner, inequality results in more crime and unlawful activities, which threaten investment and property rights. Third, the imperfect capital market hypothesis suggests that inequality is associated with credit barriers that reduce the ability of lower classes to invest in physical and human capital. Theoretical review • Economic inequality: comprises all disparities in the distribution of economic assets and income. The term typically refers to inequality among individuals and groups within a society or among countries. Economic Inequality generally refers to equality of outcome, and is related to the idea of equality of opportunity. • Gini Coefficient: Developed by an Italian statistician Corrado Gini in the 1910s, Gini Coefficient is commonly used to indicate income inequality in a society. Gini Coefficient is a number which has a value between zero and one. As the value of the Coefficient rises, the higher the degree of income inequality in a society becomes • A Kuznets curve: Simon Kuznets argued that levels of economic inequality are in large part the result of stages of development. Kuznets saw a curve-like relationship between level of income and inequality, now known as Kuznets curve. • Economic growth: Several recent economists have investigated the relationship between inequality and economic growth using econometrics. In their study for the World Institute for Development Economics Research, They conclude that too much equality (below a Gini coefficient of 0.25) negatively impacts growth due to "incentive traps, free-riding, labour shirking, and high supervision costs • Robert Barro wrote a paper arguing that inequality reduces growth in poor countries and promotes growth in rich ones. • A number of other researchers have derived conflicting results, some concluding there is a negative effect of inequality on growth. Empirical research • The above-mentioned arguments reflect inequality does not always have negative or positive effect on economic growth directly • Gini Coefficient in the world • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • Gini Coefficient Place Survey year 0.244 Hungary 1999 0.247 Denmark 1997 0.249 Japan 1993 0.250 Belgium 1996 0.250 Sweden 2000 0.254 Czech Republic 1996 0.258 Norway 2000 0.258 Slovak Republic 1996 0.262 Bosnia and Herzegovina 2001 0.268 Uzbekistan 2000 0.269 Finland 2000 0.282 Albania 2002 0.282 Macedonia, FYR 1998 0.283 Germany 2000 0.284 Slovenia 1998-99 0.289 Rwanda 1983-85 0.290 Croatia 2001 0.290 Kyrgyz Republic 2001 0.290 Ukraine 1999 0.300 Austria 1997 0.300 Ethiopia 2000 0.300 Ghana 1999 0.303 Romania 2000 0.304 Belarus 2000 0.308 Luxembourg 2000 0.313 Kazakhstan 2001 0.316 South Korea 1998 0.316 Poland 1999 0.318 Bangladesh 2000 0.319 Bulgaria 2001 0.319 Lithuania 2000 0.324 Latvia 1998 Gini Coefficient Place Survey year 0.325 India 1999-2000 0.325 Spain 1990 0.326 Netherlands 1994 0.327 France 1995 0.330 Pakistan 1998-99 0.331 Canada 1998 0.331 Switzerland 1992 0.333 Burundi 1998 0.334 Yemen, Republic 1998 0.343 Indonesia 2002 0.344 Egypt, Arab Republic 1999 0.344 Sri Lanka 1995 0.347 Tajikistan 1998 0.352 Australia 1994 0.353 Algeria 1995 0.354 Greece 1998 0.355 Israel 1997 0.359 Ireland 1996 0.360 Italy 2000 0.360 United Kingdom 1999 0.361 Vietnam 1998 0.362 Moldova 2001 0.362 New Zealand 1997 0.364 Jordan 1997 0.365 Azerbaijan 2001 0.367 Nepal 1995-96 0.369 Georgia 2001 0.370 Lao PDR 1997 0.372 Estonia 2000 0.379 Armenia 1998 0.379 Jamaica 2000 0.380 Gambia 1998 0.408 United States 2000 0.425 Singapore 1998 0.465 China 2004 0.525 Hong Kong, 2001 • GDP per capita 2008 IMF • Place GDP per capita US$ Place • • • • India Spain Netherlands France • • • • • • • • • • • • • • • • • US$ Hungary Denmark Japan Belgium Sweden Czech Republic Norway Uzbekistan Finland Albania Germany Rwanda Ukraine Austria Ghana Belarus Luxembourg Kazakhstan Korea, South Poland 19,499 37,266 33,525 36,235 37,245 25,395 53,451 2,630 36,217 6,859 35,442 1,041 7,347 39,634 1,500 12,291 82,306 11,416 27,647 17,482 Canada United Arab Emirates Switzerland Australia United Kingdom United States Hong Kong China GDP per capita 2,800 30,621 40,431 34,208 39,183 38,830 42,783 37,299 36,523 46,859 43,811 • From the empirical studies, we find that there is rather robust negative relationship between inequality and economic growth in the developed countries and poor countries. Except some contradictions Conclusion Studies of inequality and economic growth have been well conducted by many other scholars and organizations. But the inequality-economic growth debate remains unsettled. We see those contradictions in relationship between Kuznetz curve, Gini coefficient, economic growth and so on.