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Does Foreign Direct Investment (FDI) Promote Socioeconomic Development? Evidence from Advanced, Emerging-market, Developing and Transition Economies

  • Minakshee Das ORCID logo EMAIL logo
Published/Copyright: July 16, 2020

Abstract

This paper examines the impact of inward foreign direct investment (FDI) on host countries’ socioeconomic development for a sample of more than 80 countries during 1986–2017. It analyses three main areas, namely—health, social-protection and income-distribution, represented by life-expectancy, unemployment-rate and GINI index respectively. The countries are grouped into four categories according to the United Nations Conference on Trade and Development (UNCTAD) classification, namely—advanced, emerging-market, developing and transition economies. Previous literature provides an equivocal picture of the impact of inward FDI on socioeconomic development. Several researchers have noted that a certain threshold level of development in the host country is necessary to make it possible to exploit the benefits of inward FDI. The analysis shows that the impact of inward FDI differs with the three main areas (namely—health, social-protection and income-distribution) with different country groups. In general, with an increase in inward FDI the life-expectancy increases, unemployment-rate deepens and the income-distribution becomes more skewed. The findings have important policy implications. The policies should be designed in such a way that there is a positive long-term impact on socioeconomic development by encouraging inward FDI.

JEL classification: D31; E24; F21; I12; O15

Corresponding author: Minakshee Das, University of Ljubljana, Faculty of Economics, Ljubljana, Slovenia, E-mail:

I would like to acknowledge my supervisor, Dr. Črt Kostevc[1] for his invaluable guidance and Dr. Biswajit Banerjee[2] for his insightful comments and suggestions.


Appendices

A Description of the Dataset

Table A1:

Descriptive statistics.Equation 1.

VariableObservationsMeanStd. Dev.Min.Max.
LIFE_EXP554267.180069.87742827.6183.98488
IFDI(t − 1)49804.27220313.34305−82.8921451.7155
OPEN510182.6641548.97620.0209992531.7374
HCAP414881.005624.322476.32584181.9823
HEALTH_EXP34486.1436862.4685411.11066119.02304
INFANT_MORT548739.0487235.117561.6173.1
EDU_EXP39974.4707612.155970.7801944.33398

Equation 2

VariableObservationsMeanStd. Dev.Min.Max.
UNEMP46718.5620186.4074780.14844.157
IFDI(t − 1)48514.14537313.41623−82.8921451.7155
OPEN493082.0710749.176990.0209992531.7374
HCAP423781.0628823.777536.32584181.9823
Log GDPPC50823.591090.67077362.0636875.049095
(Log GDPPC)2508213.345774.8964644.25880225.49336
GDPG50483.6780416.500426−64.04711149.973
INFLATION470143.09288576.9133−35.8366824411.03
POP_GROWTH53431.6143031.506514−6.18485716.33164

Equation 3

VariableObservationsMeanStd. Dev.Min.Max.
GINI209839.685339.29738824.3865.8
IFDI(t − 1)27494.91744216.59759−82.8921451.7155
OPEN277683.1451145.888470.0209992410.1716
HCAP240787.110420.1777115.27499181.9823
Log GDPPC28493.7047870.65783622.0636875.049095
(Log GDPPC)2284914.158054.8835564.25880225.49336
GDPG28363.4123255.675868−64.04711106.2798
GOV_EXP186327.5940412.910981.87768898.1655
AGRI_EMP294427.2341923.700870.34390.718

Table A2:

Correlation matrix.Equation 1.

LIFE_EXPIFDI(t − 1)OPENHEALTH_EXPINFANT_MORTEDU_EXPHCAP
LIFE_EXP1
(5542)
IFDI(t − 1)0.0742∗1
0.000
(4750)(4980)
OPEN0.1921∗0.3410∗1
0.0000.000
(5040)(4666)(5101)
HEALTH_EXP0.2400∗0.0499∗−0.02061
0.0000.00490.2538
(3220)(3172)(3078)(3448)
INFANT_MORT−0.9323∗−0.0615∗−0.2141∗−0.1997∗1
0.0000.0000.0000.000
(5390)(4783)(5021)(3265)(5487)
EDU_EXP0.1223∗0.01630.1192∗0.2665∗−0.1891∗1
0.0000.32110.0000.0000.000
(3849)(3709)(3734)(2727)(3860)(3997)
HCAP0.7711∗0.0515∗0.2029∗0.1597∗−0.8180∗0.2338∗1
0.0000.00140.0000.0000.0000.000
(3960)(3860)(3847)(2755)(4002)(3209)(4148)
  1. Figures in parentheses are number of observation.

  2. ∗ are significant at p < 0.05.

Equation 2

UNEMPIFDI(t − 1)OPENLog GDPPC(Log GDPPC)2GDPGINFLATIONPOP_GROWTHHCAP
UNEMP1
(4671)
IFDI(t − 1)−0.00381
0.8005
(4360)(4851)
OPEN0.01210.3389∗1
0.42850.000
(4276)(4524)(4930)
Log GDPPC0.0627∗0.0685∗0.2518∗1
0.0000.0000.000
(4380)(4631)(4884)(5082)
(Log GDPPC)20.0333∗0.0705∗0.2479∗0.9958∗1
0.02730.0000.0000.000
(4380)(4631)(4884)(5082)(5082)
GDPG−0.0495∗0.0965∗0.1304∗−0.0577∗−0.0611∗1
0.00110.0000.0000.0000.000
(4362)(4630)(4859)(5042)(5042)(5048)
INFLATION−0.0061−0.0137−0.0252−0.0477∗−0.0478∗−0.0861∗1
0.6950.36180.09080.00120.00120.000
(4087)(4411)(4498)(4597)(4597)(4587)(4701)
POP_GROWTH−0.1666∗−0.0204−0.0156−0.2978∗−0.2778∗0.1740∗0.01491
0.0000.1620.27370.0000.0000.0000.3078
(4487)(4679)(4924)(5079)(5079)(5043)(4695)(5343)
HCAP0.0678∗0.0430∗0.1726∗0.6399∗0.6081∗−0.0489∗−0.0362∗−0.4085∗1
0.0000.00760.0000.0000.0000.00220.02670.000
(3599)(3857)(3846)(3958)(3958)(3943)(3740)(4082)(4237)
  1. Figures in parentheses are number of observation.

  2. ∗ are significant at p < 0.05.

Equation 3

GINIIFDI(t − 1)OPENLog GDPPC(Log GDPPC)2GDPGGOV_EXPAGRI_EMPHCAP
GINI1
(2098)
IFDI(t − 1)−0.0974∗1
0.000
(1992)(2749)
OPEN−0.2809∗0.3344∗1
0.0000.000
(1952)(2570)(2776)
Log GDPPC−0.3647∗0.0686∗0.1801∗1
0.0000.00040.000
(1997)(2626)(2766)(2849)
(Log GDPPC)2−0.3855∗0.0732∗0.1826∗0.9959∗1
0.0000.00020.0000.000
(1997)(2626)(2766)(2849)(2849)
GDPG0.0923∗−0.0050.0383∗−0.1063∗−0.1100∗1
0.0000.79830.04430.0000.000
(1992)(2624)(2755)(2836)(2836)(2836)
GOV_EXP−0.4333∗0.1781∗0.2896∗0.4608∗0.4593∗−0.2256∗1
0.0000.0000.0000.0000.0000.000
(1353)(1781)(1837)(1853)(1853)(1847)(1863)
AGRI_EMP0.2751∗−0.0676∗−0.2192∗−0.8636∗−0.8405∗0.1074∗−0.4694∗1
0.0000.00040.0000.0000.0000.0000.000
(2091)(2697)(2711)(2772)(2772)(2759)(1836)(2944)
HCAP−0.2777∗0.02560.1796∗0.6072∗0.5725∗−0.0703∗0.2564∗−0.6812∗1
0.0000.22570.0000.0000.0000.00080.0000.000
(1758)(2243)(2234)(2282)(2282)(2273)(1511)(2361)(2407)
  1. Figures in parentheses are number of observation.

  2. ∗ are significant at p < 0.05.

Table A3:

List of country groupings.

Advanced economies
1. AmericaCanada, United States
2. AsiaIsrael, Japan
3. EuropeAustria, Belgium, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, United Kingdom
4. OceaniaAustralia, New Zealand
Emerging-market economies
1. AfricaEgypt, Nigeria & South Africa
2. AmericaArgentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay, Venezuela
3. AsiaChina, Korea, India, Indonesia, Malaysia, Philippines, Singapore, Thailand
4. Middle-EastBahrain, Kuwait, Oman, Qatar, Saudi Arabia, Turkey, United Arab Emirates
5. EuropeBulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Russian Federation
Developing economies
1. AfricaEastern AfricaBurundi, Djibouti, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Mozambique, Rwanda, Somalia, Uganda, United Republic of, Tanzania, Zambia, Zimbabwe
Middle AfricaAngola, Cameroon, Central African Republic, Chad, Congo, Dem. Rep. of the Congo, Gabon
Northern AfricaAlgeria, Libya, Morocco, Sudan, Tunisia
South AfricaBotswana, Lesotho, Namibia
Western AfricaBenin, Burkina Faso, Cabo Verde, Côte d’Ivoire, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Senegal, Sierra Leone & Togo
4. AmericaCaribbeanAntigua and Barbuda, Barbados, Cuba, Dominica, Dominican Republic, Grenada, Haiti, Jamaica, Trinidad and Tobago
Central AmericaBelize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua
5. AsiaEasternMongolia
SouthernAfghanistan, Bangladesh, Bhutan, Iran (Islamic Republic of), Maldives, Nepal, Pakistan, Sri Lanka
South-EasternCambodia, Lao People’s Dem. Rep., Myanmar, Viet Nam
Western AsiaIraq, Jordan, Lebanon, Yemen
6. OceaniaFiji, Guam, Kiribati, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu,
Transition economiesAlbania, Armenia, Azerbaijan, Bosnia & Herzegovina, Georgia, Kazakhstan, Kyrgyzstan, Montenegro, Moldova, Serbia, Tajikistan, Macedonia, Turkmenistan, Ukraine, Uzbekistan
  1. Sample include advanced economies, emerging-market economies, developing economies and transition economies. Groupings follow the classification by UNCTAD. However, countries classified as emerging-market economies have been removed from developing economies group if they also appear there.

B Additional Estimation Results

Table B1:

Equation 1: Impact of inward FDI on health (FE).

Dependent variable: LIFE_EXP.

12345
Full-sampleAdvancedEmerging-marketDevelopingTransition
IFDI(t − 1)−0.00259∗∗∗−0.00309∗∗∗−0.0243∗∗0.00193−0.0212
(0.000955)(0.000714)(0.00936)(0.00913)(0.0184)
OPEN0.0134∗∗∗0.0164∗∗∗0.01670.00403−0.00877
(0.00408)(0.00522)(0.01)(0.00616)(0.0104)
HCAP0.006740.02790.008590.00587−0.0747∗
(0.011)(0.0244)(0.0307)(0.0118)(0.0398)
Log GDPPC29.48∗∗∗−63.4543.52∗∗∗31.63∗∗87.17∗
(7.69)(39.7)(15.53)(14.46)(42.21)
(Log GDPPC)2−5.102∗∗∗4.374−6.835∗∗∗−5.502∗∗−13.89∗∗
(1.113)(4.831)(2.283)(2.347)(5.993)
GDPG−0.0602∗∗∗−0.223∗∗∗−0.0970∗∗∗−0.0345∗−0.0499
(0.0168)(0.0461)(0.0294)(0.0177)(0.0763)
HEALTH_EXP0.234∗∗∗0.596∗∗∗0.192∗0.13−0.11
(0.0885)(0.102)(0.11)(0.133)(0.142)
INFANT_MORT−0.210∗∗∗−0.648∗∗∗−0.258∗∗∗−0.207∗∗∗−0.186∗∗∗
(0.0111)(0.104)(0.0327)(0.0125)(0.028)
EDU EXP0.117−0.1340.2590.1250.388∗∗
(0.0992)(0.197)(0.191)(0.124)(0.163)
Constant71.76∗∗∗73.19∗∗∗73.02∗∗∗71.32∗∗∗82.66∗∗∗
(1.408)(3.313)(3.315)(1.77)(3.627)
n20233504521046164
R-squared0.7550.8330.7510.7960.777
Number of countries15825338811
F-ratio95.0047.7021.8777.9122.17
(0.00)(0.00)(0.00)(0.00)(0.00)
  1. Figures in parentheses are robust standard errors.

  2. ∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.

  3. n = number of observations.

Table B2:

Equation 2: Impact of inward FDI on socio-protection (FE).

Dependent variable: UNEMP.

12345
Full-sampleAdvancedEmerging-marketDevelopingTransition
IFDI(t − 1)0.00255−0.00113−0.04310.000163−0.022
(0.00314)(0.00254)(0.0502)(0.0162)(0.0384)
OPEN−0.00430.0343∗∗−0.00693−0.0123∗−0.0125
(0.00522)(0.014)(0.00958)(0.00737)(0.0181)
HCAP−0.01620.0368∗−0.00782−0.01510.0117
(0.015)(0.0187)(0.0237)(0.0166)(0.0504)
Log GDPPC29.48∗∗∗−63.4543.52∗∗∗31.63∗∗87.17∗
(7.69)(39.7)(15.53)(14.46)(42.21)
(Log GDPPC)2−5.102∗∗∗4.374−6.835∗∗∗−5.502∗∗−13.89∗∗
(1.113)(4.831)(2.283)(2.347)(5.993)
GDPG−0.0602∗∗∗−0.223∗∗∗−0.0970∗∗∗−0.0345∗−0.0499
(0.0168)(0.0461)(0.0294)(0.0177)(0.0763)
INFLATION−6.62e−5−0.367∗∗∗−0.00211−1.46e−5−0.00154∗∗∗
(4.25e−5)(0.105)(0.00263)(2.88e−5)(0.000348)
POP_GROWTH−0.065−3.039∗∗∗0.04050.2720.468
(0.126)(0.859)(0.0827)(0.166)(0.739)
Constant−27.63∗∗201.0∗∗−55.29∗∗−33.51−120.8
(12.92)(81.93)(26)(21.39)(73.95)
n30904976561711224
R-squared0.1340.5090.1790.1320.267
Number of countries15825338812
F-ratio6.4912.943.242.7224.53
(0.00)(0.00)(0.01)(0.01)(0.00)
  1. Figures in parentheses are robust standard errors.

  2. ∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.

  3. n = number of observations.

  4. e = 10.

Table B3:

Equation 3: Impact of inward FDI on income-distribution (FE).

Dependent variable: GINI index (World Bank estimate).

12345
Full-sampleAdvancedEmerging-marketDevelopingTransition
IFDI(t − 1)0.00509∗−0.001570.02780.08010.137
(0.00267)(0.00244)(0.0282)(0.0853)(0.0725)
OPEN0.008390.01690.00252−0.020.0825∗∗∗
(0.0131)(0.0113)(0.0114)(0.0252)(0.0172)
HCAP0.03030.0898∗0.114∗−0.0390.161
(0.0434)(0.0509)(0.064)(0.0444)(0.096)
Log GDPPC−16.14140.1∗−145.2∗∗∗34.88−63.79∗∗
(32.69)(71.9)(39.74)(49.11)(18.95)
(Log GDPPC)20.424−18.25∗∗16.97∗∗∗−6.625.570∗
(4.309)(8.455)(4.872)(6.905)(2.608)
GDPG−0.0004970.00539−0.0170.02050.0752∗∗∗
(0.0306)(0.0477)(0.0779)(0.0583)(0.0143)
GOV_EXP−0.100∗∗−0.0157−0.269∗∗∗−0.1560.0661
(0.0432)(0.0242)(0.0734)(0.136)(0.0768)
AGRI_EMP−0.180∗∗−0.241−0.179∗−0.349∗∗∗−0.0517
(0.0695)(0.229)(0.0871)(0.0874)(0.028)
Constant97.05−237.4346.4∗∗∗22.11161.5∗∗∗
(61.79)(154.2)(77.89)(88.25)(36.54)
n106829631336990
R-squared0.0870.2390.1850.1830.749
Number of countries882423347
F-ratio2.061.234.961.592.01
(0.00)(0.33)(0.00)(0.16)(0.00)
  1. Figures in parentheses are robust standard errors.

  2. ∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.

  3. n = number of observations.

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Received: 2020-05-18
Accepted: 2020-05-18
Published Online: 2020-07-16

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