Download The determinants of Foreign Direct Investment in China

The determinants of Foreign Direct Investment in China
Jia Ren, Eric Pentecost
Economic Department, Loughborough University
Abstract
After adopting the open door policy, China experienced a boom of inward foreign direct
investment (FDI) by multinational corporations since 1980s. From an almost isolated
economy, China turned to be the largest recipient of FDI in the developing world. The
former research papers concerning on determinants FDI inflow to China contribute the
development of FDI to the high growing GDP and the huge population, which supplies
not only a huge market, but also the exhaustless and cheap labours for the production as
well. However, in reality, there are more economic factors can take into account for the
increasing the FDI inflows into China, such as taxes, exchange rates, infrastructure
developments etc, from the empirical side, there are more models applied into Chinese
data of these variables.
This paper is going to have a discussion on the determinant of foreign direct investment
(FDI) into China. The long term effect will be observed. Twenty-three-year annual data
from 1982 to 2004 are used in the regression analysis of the determinants of FDI stock in
China.
The results indicate that there is a significant effect of labour, GDP, trade, exchange rate
and tax on the national and regional level FDI stock.
Key words: Foreign Direct Investment (FDI), China
1. Introduction
Foreign direct investment (FDI) is defined as "investment made to acquire lasting interest
in enterprises operating outside of the economy of the investor."1 The FDI relationship
consists of a parent enterprise and at least one affiliate out of its home country. The
parent firm imply the business strategies in production, marketing, finance through its
affiliates.
After adopting the open door policy, China experienced a boom of inward foreign direct
investment (FDI) by multinational corporations since 1980s. In the first period 19791983, FDI inflows into China were with limited amount. In the 1982, the inflow FDI to
China was 430 million of US dollars. 1983 the inflow come to 606 million of US dollars.
The average annual inflow is 518 million.
Table1: the average annual inflow in three periods (million US $)
Period
The average annual inflow
1982-1983
518
1984-1991
2693.25
1992-2006
4777.67
Source: Statistics Bureau of China
From 1984, the inflow of FDI started to take off stably from the annual inflow of 1,256
million US dollar (1984) to 4366 million (1991). The annual growth rate from 1985 to
1990 keep positive with the range from 3% to 38%. The average annual inflow is 2,693
million US dollar.
Since 1992, the inflows of FDI into China accelerate. The annual inflow started from
11,156 (1992) million of US dollar to 87,286 million (2006). The annual growth rate
keep positive during the third period except the rate in 1999 was – 10.14%. Furthermore
the rate in 1998 (0.45%) and 2000 (2.63%) was slight positive. This temporary delay may
due to the influence from Asian financial crisis. However, from 2001, the inflow of FDI
1
Foreign Direct Investment, United Nations Conference on Trade and Development
to China has recovered from the crisis with the annual growth rate of 11.77% and reached
a new record of 47,052 million US dollar. In 2005, there is acceleration in the inflow FDI
with the 41.32% growth rate and drop to 86,071 million US dollar. The average annual
inflow in this period was 47, 775million US dollar.
Figure1. The FDI inflow to China 1983-2006 (million US $)
100000
90000
80000
70000
60000
50000
40000
30000
20000
10000
06
05
20
04
20
03
20
02
20
01
20
00
20
99
20
98
19
97
19
96
19
95
19
94
19
93
19
92
19
91
19
90
19
89
19
88
19
87
19
86
19
85
19
84
19
83
19
19
19
82
0
Source: Statistics Bureau of China
From an almost isolated economy, China turned to be the largest recipient of FDI in the
developing world. The FDI inflow to mainland China in 2006 was 69.47 billion US
dollars, which was 18% of the developing countries and 5.32 % of the world. The
accumulated FDI inflows to China until 2006, reached 293 billion US dollar, constituting
over 9.27 % of total FDI into all developing countries, 2.44% of the world total FDI
stocks (UNCTAD 2007). The former research papers concerning on determinants FDI
inflow to China contribute the development of FDI to the high growing GDP and the
huge population, which supplies not only a huge market, but also the exhaustless and
cheap labours for the production as well. However, in reality, there are more economic
factors can take into account for the increasing the FDI inflows into China, such as taxes,
exchange rates, infrastructure developments etc, from the empirical side, there are more
models applied into Chinese data of these variables.
2. The determinants for the FDI inflows
Former literatures have keenly discussed the different factors which may influence the
multinationals’ investment to the foreign market. The variables include the local market
demand, the distance between the home country and the host country, the amount of the
local labour and capital endowment, the taxes levied, the exchange rate, local economic
growth, the political and the economic risk and the local infrastructure etc.
A. Market demand
A large or growing host market is a positive factor for the profitable investments. In the
empirical studies, market size effect is generally measured by GDP, GDP per capita,
GNP, GNP capita or the growth rate of these factors. The empirical results of the studies
support the market size have a significant and positive effect on inward FDI to China.
The rapid growth of the local economies creates lots of domestic market and business
opportunities for foreign investments and hence bolsters investors’ confidence. The
positive relationship between market size and inward FDI is confirmed by Dees (1998),
Fung (2000), Zhang (2000).
B. Distance
Distance is a common variable in the empirical studies, although the expected effect for
this variable is ambiguous. It may reveal the effects of dissimilarities in culture and
institutions and then have a negative effect on multinationals’ investment decisions.
However, it may also work as an indicator to measure the effects of shipping cost, and
have a positive effect on horizontal foreign investments and have a negative effect on
vertical ones.
The impact of geographical distance on FDI flows into China was discussed by Wei
(1995), Liu et al (1997) and Wei and Liu (2001). The coefficient of the distance variable
was found to be significant in studies by Wei (1995, 2005) but insignificant in Liu et al
(1997) and Wei and Liu (2001).
C. Endowment cost --Labour
The results of the effects of relative factor cost on the FDI inflows are ambiguous. Lower
labour costs and higher unemployment are recognized to attract the FDI funds in many
studies (Huber and Pain 2002; Barrell and Pain 1997, Wheeler and Mody 1992). The
studies on FDI in China demonstrated that Chinese low labour costs played an important
role in foreign firms’ FDI decision (Liu et al 1997, Dees 998 and Wei and Liu 2001). The
researches provided evidence to multinationals removed part of their manufacturing
operations away from their home bases or set up a new business in China to exploit
international differences in factor prices. Since labour cost is an important part of total
production costs, especially in labour intensive manufacturing, the lower the labour cost
in the host country, the more attractive for the foreign investment the host country. Zhang
(2000) did the test on the importance of the labour cost to the investment with different
source regions. He found that labour cost played a much more significant role in
attracting FDI from Hong Kong than that from the US because funds from Hong Kong
was more concentrated in the labour intensive sectors.
In the regional data research, the studies about the impact of labour costs on FDI inflow,
however, gives a group of mixed results. Cheap labour inputs have obviously an
attraction to the foreign investment. Thus, there could be a negative relationship between
the labour costs and the inward FDI. However, a positive relationship is also thought to
be possible in the literature as wage rate could be regards as a signal for the labour
quality. Higher wage rate may indicate the higher skill labours that foreign investors
seek. It is not so accurate to say that FDI is attracted mainly by cheap labours in China.
By controlling the productivity, Coughlin and Chen (1997), Wei et al (1999) and Wei and
Liu (2001) found that wage rate has a negatively influence on FDI inflow into China. But
no significant relationship between FDI and wage cost is found in test by Head and Ries
(1996). Also, a positive significant relation is found in Zhao and Zhu (2000). Sun, Tong
and Yu (2002) provide the evidence to show that wage is positively related to FDI before
1991 but negatively related with FDI since then.
D. the endowment cost ---- capital
FDI is basically financed in the home country. If the cost of borrowing in the home
country is lower than in the host country, home country firm can have a cost advantage
over host country rivals, and are in a better position to enter the host country market via
FDI. Thus the higher the ratio of host country borrowing cost to the home country costs,
the higher will be inward FDI in the host country. However, this relationship has not been
supported by the economists, because in reality multinationals can finance their activities
from the international capital market besides the local market.
Another opinion insert that the interest rate is an indicator of macroeconomic stability,
which influence the FDI in the host country. The higher interest rate in the host country
indicates the insatiability, which may result in the reduction of FDI inflow.
The discussions about the influence of the interest rate on FDI are ambiguous, therefore,
the empirical findings on the influence of the capital inputs are weak as well (Mody and
Srinivasan 1998, Devereux and Griffith 1998, Barrel and Pain 1999). Due to the nonconvertible-condition of the Chinese domestic currency, the interest rate works only as
one of the government tools for the macroeconomic adjustment. The higher interest rate
indicates the booming of the local economy and positive effect on the FDI (Liu et al
1997).
E. Tax
Several empirical studies have investigated the influence of taxes on foreign direct
investment, which is measure by the taxes volume, corporate tax rate or average tax rate.
Hartman 1984, Hines1997, 1999, and de Mooij and Ederveen, 2003 studies focus on
relationship of the tax volume and distribution of FDI. Bartik (1985) started to introduce
the corporate tax rate into the FDI determinant model. He found that there is a significant
impact of the tax rate on business location decisions.
F. Exchange rate
The exchange rate influences the FDI location choice by two methods: the influences of
appreciation or depreciation of the currency on the production cost and the volatility of
the currency on the investment risk.
The results of the exchange rate on the production are quite ambiguous. If FDI aim at
producing for re-exports, it is complementary to the international trade. Thus an
appreciation of the local currency is supposed to reduce the FDI inflows since it raises the
local labour costs. A decrease in the relative labour cost, either through a fall in its
relative wages or real exchange rate deprecation, will increase the foreign investment. On
the other hand, if FDI aim at serving the local market, FDI and trade are substitute each
other. An appreciation of the local currency increase FDI inflows due to higher
purchasing power of the local consumers. The depreciation in the real exchange rate of
the FDI recipient countries will increase the FDI inflow since it reduced cost of capital
investment.
Foot and Stein (1991) did the empirical test on the US and Japan during 1989 to 1991,
and demonstrated the hypotheses that a depreciated currency can raise the foreign
investors’ motivation in buying the control of the foreign corporate assets because that
exchange rate changes have the impacts on international wealth and wealthier buyer find
it easier to acquire assets. Klein and Rosengren (1992), develop the researches by
focusing on the country specific productivity shocks, which was recognized to affect the
relative wealth of a country and the amount of foreign direct investment undertaken by its
investors. Blonigen (1997) argues that the acquisitions of multinationals involved the
foreign firm-specific assets and the changes in the exchange market may prevent the
domestic and foreign investors from having equal access to all markets. He applied the
data of Japanese acquisitions in the United State from 1975 to 1992 in the test. The result
displayed a strong correlation of a weaker dollar and the higher levels of Japanese
acquisition FDI in the United States for industries which more likely involve firmspecific assets. The data find that a 10 percent lower dollar increases Japanese acquisition
FDI activity in high R&D manufacturing sectors by 18-32 percent. In addition, this effect
does not display itself in the green field plants invested by the Japanese funds, where
acquisition of firm specific assets is not involved. If foreign and domestic firms have
equal opportunity to purchase firm specific assets in the domestic market, but different
opportunities to generate return on these assets in foreign markets, then currency
movements may affect relative values.
In the literatures, Chinese currency Renmingbi (RMB) is generally recognized as
undervalued. Cline (2005) found that it is under-valued by 43% with respect to the US
dollar. Zhang (2001) found that the cumulative effect of exchange rate reform led to a
substantial real depreciation of the Chinese currency since 1981 when the reform was
introduced. The undervaluation occurred in 12 of 20 years from 1978 to 1997. These
results indicated that China at the moment employed the nominal exchange rate as a
policy tool, which varied either frequently or occasionally, to attain a real exchange rate
target. A real depreciation of Chinese currency will favour the foreign firms’ purchase of
the host country’s asset and allows foreign investors to take advantage of the relatively
cheap labours in the host country (Liu et al 1997, Dees 1998 and Wei and Liu 2001).
Therefore, depreciation was expected to be positively associated with FDI inflow. Liu et
al (1997) and Wei and Liu ( 2001) obtained a positive coefficient on the exchange rate
variable in the regression equations designed to test the determinants of FDI into China.
Some literatures focus on the influence of the exchange rate volatility on the FDI
investment. The higher volatility in exchange rate usually indicates that the home and
host countries lack the economic similarity. In addition, multinationals may also regard
the exchange rate volatility as an indicator to measure the macroeconomic instability in
the host country. Furthermore, the effect of exchange rate volatility may have the
influence on the relative price of intermediate inputs imported from the parent country or
final products which will be exported back to the parent country. All these aspects of
exchange rate volatility will have a negative impact on multinational activity. However,
under the assumption of uncertainty of exchange rate and inflation rate, multinationals
may respond to the increase risk in the real exchange rate appreciation though reducing
exports of final goods to the foreign country, they can offset this by increasing foreign
capital investment and raise the final goods production level in the host countries
(Cushman 1982). Multinationals may perceive influence of the exchange rate volatility
on trade cost, and choose to produce abroad instead of exporting, if exchange rate
volatility is high.
Benassy Quere, Fontagne and Lahureche-Revil (1999) did the research on the exchange
rate in the 42 emerging countries receiving FDI from 17 investing countries and found
out the 1% appreciation in the real exchange rate reduced the FDI stock by 0.23%, where
a 1 point increase in exchange rate volatility reduce the investments by 0.63%. However,
it was observed that the emerging countries’ domestic economy at the same time suffers
from a positive inflation due to the investing countries. Therefore, to prevent the real
exchange rate from appreciation indicate that the nominal exchange rate must depreciate
periodically, which will induce some volatility.
There are limited papers about the relationship between the FDI and the volatility of the
exchange rate in China. However, some empirical test focus on the influence of exchange
volatility on the Chinese exports, which has close relationship with the FDI inflow to
China. The a negative long run effect of exchange rate volatility on Chinese total exports
was found in empirical tests, which means that exchange rate uncertainty impedes trade
(Chou 2001). Usually, foreign trade can avoid or minimize the exchange rate uncertainty
in trading transition by hedging in the forward exchange market. However, the forward
market for the Chinese currency, which is not fully convertible, has not yet been
developed. Thus the trading activity that requires decisions to be made with respect to
long term time horizons is unprotected by forward market. As long as traders are unable
to eliminate exchange rate uncertainty, large exchange rate variability will result in less
trade. For this reason, the long run responses of China’s exports to exchange rate
variability have been found to be negative. This may result in a shifting for the investor to
increase the investment to avoid the financial risk in the currency market. Thus the
volatility of the local currency may raise the FDI to China if it has a complementary
relationship with trade.
G. The other variables:
The studies of the FDI inflow determinants have covered the effects of other
macroeconomic variables such as local economic growth, the political and economic risk
of host country and the infrastructure etc. The higher economic growth reflects
improvement in productivity and development. Lower economic and political risks will
result in a more attractive and stable climate for foreign investors. The infrastructure in
the host country will influence the extra expenditure of the multinationals. The basic
infrastructure constructions are necessary for attracting the investment.
The empirical literature concerning about the determinant of FDI become more and more
delicate. The research concern about China did growth up as well. However, there is
some gap for the future development. First, from the determinant, there are seldom paper
point out the exchange rate, tax rate, infrastructure concerned about the FDI into China,
although there are some paper did the research on the undervalue measure of Chinese
currency and it’s influence on the trade system. Second, the papers concerning the region
effect focus on the description of the inequality of the FDI distribution, but seldom
analysis the determinant in different regions. This paper is going to have a discussion on
the determinant of foreign direct investment (FDI) into China. The long term effect will
be observed. Twenty-three-year annual data from 1982 to 2004 are used in the regression
analysis of the determinants of FDI stock in China.
3. Methodology
3.1 Model and methodology
We can build the following specification due to the discussion in the former literature:
FDIit = f (RWAit, RTit, RGDPit, ERit,VARERit, RXit, RMit, RFXit, RFMit) (1)
Where
FDI = the annual stock of real foreign direct investment in China,
RWA = the ratio of real Chinese average wage rates,
RT = the ratio of real Chinese tax,
RGDP = the ratio of real Chinese GDP,
ER = the exchange ratio of Chinese RMB/US $,
VARER= the volatility of exchange rate,
RX = real Chinese exports,
RM = real Chinese imports,
RFX = real exports of foreign funded enterprises in China,
RFM = real imports of foreign funded enterprises in China,
The log-linear form of (1) is:
lnFDIit = α+ β1 RWAit+ β2 RTit+ β3lnRGDPit+ β4 ERit+ β5 VAREX it+ β6 ln RXit+
β7ln RMit+ β8lnRFXit+ β9 lnRFMit+ εt, (2)
The test is going to take two steps. First, the specification is used to test determinants for
the national level of FDI stock in China. The tax effect will be move out of the
specification, due to the different tax levels within China. The specification is going to be
handled in the econometric test by time-series method.
The second step is going to test the determinants for the FDI distribution inside China. In
this case, exchange effect tends to be removed from the equation, due to the same
currency inside China. The test will be handled in the panel econometrics method.
3.2 data
The national and regional data for the nominal FDI stock, GDP, average wage, tax, trade
and CPI is from the Statistics Bureau of China. The daily exchange rate data is from
datastream. The volatility of the exchange rate is calculated as the annual variance of the
exchange rate of the daily exchange rate. World CPI is from Federal Reserve Bank of
Cleveland.
For the first step of test, the national level data is collected from 1982 to 2004. For the
second step tests, the regional is collected by 30 provinces in the mainland of China from
1994 to 2005. However, to get proper econometrics results, the data from Tibet and
Qinghai provinces would be removed from the econometrics because of the slight amount
of FDI investment in Qinghai and Tibet provinces.
The specification is going to hand the panel data in 30 provinces from 1994 to 2005.
4. Empirical Results
Following the discussion in section 3, we got the results for the test.
4.1. national level determinants of FDI stock in China
Table 2 estimation of the determinants of FDI into China (1982-2004)
Independent coefficients
variables
lnGDP
4.32***
(9.31)
lnX
0.65***
(2.32)
lnM
-0.29
(-1.29)
lnFx
lnFm
lnWa
Ex
Varex
C
R2
-82.02***
(-9.03)
0.42***
(11.39)
-0.02
(-0.95)
-25.27***
(-9.14)
0.99
coefficients
3.19***
(9.70)
0.13**
(2.52)
0.02
(0.16)
-61.50***
(6.78)
0.42***
(15.78)
-0.02
(-1.12)
-24.93***
(-9.35)
0.99
We can found in the results that the GDP as positive effects of the FDI stock. As we
mentioned in the second part, the growing market demand encourage the foreign
investment to the Chinese market.
The test result on the trade tells that the Chinese export has positive effect on the FDI
stock. Even, the exports by the foreign fund enterprise have the positive relationship with
the FDI stock. However, coefficients of national imports and the imports of foreign fund
enterprises in China are not significant in the FDI stock.
The average rage has significant positive effect for the FDI stock. This indicates that FDI
aim at cheap labour cost rather than the specific high quality labour in China.
Exchange rate has significant positive effect on the FDI stock. In this case, the
deprecation of the currency did attract the inflow of FDI. However, the coefficient of
volatility in exchange rate does not significant.
4.2. Regional level of FDI stock distribution inside China
From the econometrics results it is obvious that GDP, Tax, wage level and trade volume
have the influence on the FDI distribution inside China.
The positive effect of GDP on the FDI stock indicates that the FDI stocks distribution
follow the development of the districts, which is the same as the first step test.
Also the coefficients of Tax and average wage level are siginificant. The result indicates
that the foreign investments look for the lower Tax and wage level regions inside China
to reduce the production cost.
For the trade level, it is obvious that FDI more focus on the trade by the foreign funded
enterprises but not the district trade volume. This is quite different with the results in the
national level test.
Also the trade volume of foreign funded enterprise has the positive effect on the FDI
stock, which indicates that the FDI stocks are more complementary to the trade rather
than substitute.
Table3: the estimation of the determinants of FDI distribution inside China
OLS
lnGDP 0.60***
(5.28)
lnT
-0.26***
(-2.73)
lnWa
-0.48***
(- 4.13)
lnX
-0.01
(-0.18)
lnM
0.05
(0.62)
lnFx
0.16***
(2.66)
lnFm
0.45***
(7.95)
C
23.29***
(6.54)
2
R
0.88
Fix
0.60***
(5.35))
-0.26***
(-2.73)
-0.48***
(- 4.13)
-0.01
(-0.18)
0.05
(0.62)
0.16***
(2.66)
0.43***
(4.45)
0.88
Random
0.60***
(5.35)
-0.26***
(-2.77)
-0.48***
(- 4.19)
-0.01
(-0.18)
0.05
(0.62)
0.16***
(2.70)
0.43***
(4.45)
23.29***
(6.23)
0.88
OLS
0.84***
(5.35)
-0.32***
(-2.36)
-0.85***
(- 5.39)
0.06
(0.63)
0.59***
(6.54)
Fix
0.84***
(5.35)
-0.32***
(-2.36)
-0.85***
(- 5.39)
0.07
(0.69)
0.59***
(6.54)
30.65***
(6.43)
0.77
0.77
Random
0.84***
(5.35)
-0.32***
(-2.36)
-0.85***
(- 5.39)
0.07
(0.69)
0.59***
(6.54)
OLS
0.61***
(5.47)
-0.26***
(-2.74)
-0.43***
(- 4.45)
0.19***
(3.77)
0.47***
(9.62)
30.65*** 22.26***
(6.43)
(7.07)
0.77
0.88
Fix
0.61***
(5.47)
-0.26***
(-2.74)
-0.43***
(- 4.45)
Random
0.61***
(5.47)
-0.26***
(-2.74)
-0.43***
(- 4.45)
0.19***
(3.77)
0.47***
(9.62)
0.19***
(3.77)
0.47***
(9.62)
22.26***
(7.07)
0.88
0.88
5. Conclusions
The paper took the two steps tests on the FDI stock in China: national level and regional
level. The growing market size, lower labour cost has positive effect on the FDI stock.
Also, FDI stock is attracted by the depreciation of Chinese currency and lower tax region.
However, the relationship of trade and FDI are quite ambiguous. In the national level,
FDI has positive relationship with export. The effects of imports are not significant. This
indicates the FDI are more re-exporting orientated, furthermore, MNCs would preferred
the raw materials in China. In the regional the results seems to be opposite. The MNCs
regional imports have positive effects on the FDI distribution.
For the further development, the specification could include politic and governmental risk
system to measure the macro investment environment. Also the country pair method can
be used in the research.
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Appendix:
Variable definitions:
FDI: the real annual inflow of foreign direct investment in China derived from nominal
FDI stock deflated by the world CPI index in US dollars. Source: Chinese Statistics
Yearbook 1996- 2006.
RGDP: the relative real GDP, defined as the nominal deflated by Chinese CPI index, the
GDP was converted to US dollars from the local currency Yuan. Source: Chinese
Statistics Yearbook 1996- 2006.
RWa: the average real wage rate, defined as nominal average Chinese wages rates
deflated by Chinese CPI index, the wage was converted to US dollars from the local
currency Yuan. Source: Chinese Statistics Yearbook 1996- 2006.
RT: the real Tax amount, defined as the nominal Tax deflated by the Chinese CPI, the
wage was converted to US dollars from the local currency. Source: Chinese Statistics
Yearbook 1996- 2006.
Ex: the real exchange rate, defined as the ratio of the Chinese currency (Yuan)/US $.
Source: datastream.
Varex: the volatility of exchange rate, defined as the annual variance of exchange rate.
Source: datastream.
RGDP: the relative real GDP, defined as the nominal deflated by Chinese CPI index, the
GDP was converted to US dollars from the local currency. Source: Chinese Statistics
Yearbook 1996- 2006.
RX: Chinese real exports, defined as the nominal exports deflated by Chinese CPI index,
the RX was converted to US dollars from the local currency. Source: Chinese Statistics
Yearbook 1996- 2006.
RM: Chinese real imports, defined as the GDP deflated by Chinese CPI index, the RM
was converted to US dollars from the local currency. Source: Chinese Statistics Yearbook
1996- 2006.
RFx: real exports by foreign funded enterprise in China, defined as the nominal Fx
deflated by Chinese CPI index, the RFx was converted to US dollars from the local
currency. Source: Chinese Statistics Yearbook 1996- 2006, Federal Reserve Bank of
Cleveland.
RFx: real imports by foreign funded enterprise in China, defined as the nominal Fm
deflated by Chinese CPI index, the RFm was converted to US dollars from the local
currency. Source: Chinese Statistics Yearbook 1996- 2006.