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.
A Description of the Dataset
Descriptive statistics.Equation 1.
Variable | Observations | Mean | Std. Dev. | Min. | Max. |
---|---|---|---|---|---|
LIFE_EXP | 5542 | 67.18006 | 9.877428 | 27.61 | 83.98488 |
IFDI(t − 1) | 4980 | 4.272203 | 13.34305 | −82.8921 | 451.7155 |
OPEN | 5101 | 82.66415 | 48.9762 | 0.0209992 | 531.7374 |
HCAP | 4148 | 81.0056 | 24.32247 | 6.32584 | 181.9823 |
HEALTH_EXP | 3448 | 6.143686 | 2.468541 | 1.110661 | 19.02304 |
INFANT_MORT | 5487 | 39.04872 | 35.11756 | 1.6 | 173.1 |
EDU_EXP | 3997 | 4.470761 | 2.15597 | 0.78019 | 44.33398 |
Equation 2
Variable | Observations | Mean | Std. Dev. | Min. | Max. |
---|---|---|---|---|---|
UNEMP | 4671 | 8.562018 | 6.407478 | 0.148 | 44.157 |
IFDI(t − 1) | 4851 | 4.145373 | 13.41623 | −82.8921 | 451.7155 |
OPEN | 4930 | 82.07107 | 49.17699 | 0.0209992 | 531.7374 |
HCAP | 4237 | 81.06288 | 23.77753 | 6.32584 | 181.9823 |
Log GDPPC | 5082 | 3.59109 | 0.6707736 | 2.063687 | 5.049095 |
(Log GDPPC)2 | 5082 | 13.34577 | 4.896464 | 4.258802 | 25.49336 |
GDPG | 5048 | 3.678041 | 6.500426 | −64.04711 | 149.973 |
INFLATION | 4701 | 43.09288 | 576.9133 | −35.83668 | 24411.03 |
POP_GROWTH | 5343 | 1.614303 | 1.506514 | −6.184857 | 16.33164 |
Equation 3
Variable | Observations | Mean | Std. Dev. | Min. | Max. |
---|---|---|---|---|---|
GINI | 2098 | 39.68533 | 9.297388 | 24.38 | 65.8 |
IFDI(t − 1) | 2749 | 4.917442 | 16.59759 | −82.8921 | 451.7155 |
OPEN | 2776 | 83.14511 | 45.88847 | 0.0209992 | 410.1716 |
HCAP | 2407 | 87.1104 | 20.17771 | 15.27499 | 181.9823 |
Log GDPPC | 2849 | 3.704787 | 0.6578362 | 2.063687 | 5.049095 |
(Log GDPPC)2 | 2849 | 14.15805 | 4.883556 | 4.258802 | 25.49336 |
GDPG | 2836 | 3.412325 | 5.675868 | −64.04711 | 106.2798 |
GOV_EXP | 1863 | 27.59404 | 12.91098 | 1.877688 | 98.1655 |
AGRI_EMP | 2944 | 27.23419 | 23.70087 | 0.343 | 90.718 |
Correlation matrix.Equation 1.
LIFE_EXP | IFDI(t − 1) | OPEN | HEALTH_EXP | INFANT_MORT | EDU_EXP | HCAP | |
---|---|---|---|---|---|---|---|
LIFE_EXP | 1 | ||||||
(5542) | |||||||
IFDI(t − 1) | 0.0742∗ | 1 | |||||
0.000 | |||||||
(4750) | (4980) | ||||||
OPEN | 0.1921∗ | 0.3410∗ | 1 | ||||
0.000 | 0.000 | ||||||
(5040) | (4666) | (5101) | |||||
HEALTH_EXP | 0.2400∗ | 0.0499∗ | −0.0206 | 1 | |||
0.000 | 0.0049 | 0.2538 | |||||
(3220) | (3172) | (3078) | (3448) | ||||
INFANT_MORT | −0.9323∗ | −0.0615∗ | −0.2141∗ | −0.1997∗ | 1 | ||
0.000 | 0.000 | 0.000 | 0.000 | ||||
(5390) | (4783) | (5021) | (3265) | (5487) | |||
EDU_EXP | 0.1223∗ | 0.0163 | 0.1192∗ | 0.2665∗ | −0.1891∗ | 1 | |
0.000 | 0.3211 | 0.000 | 0.000 | 0.000 | |||
(3849) | (3709) | (3734) | (2727) | (3860) | (3997) | ||
HCAP | 0.7711∗ | 0.0515∗ | 0.2029∗ | 0.1597∗ | −0.8180∗ | 0.2338∗ | 1 |
0.000 | 0.0014 | 0.000 | 0.000 | 0.000 | 0.000 | ||
(3960) | (3860) | (3847) | (2755) | (4002) | (3209) | (4148) |
Figures in parentheses are number of observation.
∗ are significant at p < 0.05.
Equation 2
UNEMP | IFDI(t − 1) | OPEN | Log GDPPC | (Log GDPPC)2 | GDPG | INFLATION | POP_GROWTH | HCAP | |
---|---|---|---|---|---|---|---|---|---|
UNEMP | 1 | ||||||||
(4671) | |||||||||
IFDI(t − 1) | −0.0038 | 1 | |||||||
0.8005 | |||||||||
(4360) | (4851) | ||||||||
OPEN | 0.0121 | 0.3389∗ | 1 | ||||||
0.4285 | 0.000 | ||||||||
(4276) | (4524) | (4930) | |||||||
Log GDPPC | 0.0627∗ | 0.0685∗ | 0.2518∗ | 1 | |||||
0.000 | 0.000 | 0.000 | |||||||
(4380) | (4631) | (4884) | (5082) | ||||||
(Log GDPPC)2 | 0.0333∗ | 0.0705∗ | 0.2479∗ | 0.9958∗ | 1 | ||||
0.0273 | 0.000 | 0.000 | 0.000 | ||||||
(4380) | (4631) | (4884) | (5082) | (5082) | |||||
GDPG | −0.0495∗ | 0.0965∗ | 0.1304∗ | −0.0577∗ | −0.0611∗ | 1 | |||
0.0011 | 0.000 | 0.000 | 0.000 | 0.000 | |||||
(4362) | (4630) | (4859) | (5042) | (5042) | (5048) | ||||
INFLATION | −0.0061 | −0.0137 | −0.0252 | −0.0477∗ | −0.0478∗ | −0.0861∗ | 1 | ||
0.695 | 0.3618 | 0.0908 | 0.0012 | 0.0012 | 0.000 | ||||
(4087) | (4411) | (4498) | (4597) | (4597) | (4587) | (4701) | |||
POP_GROWTH | −0.1666∗ | −0.0204 | −0.0156 | −0.2978∗ | −0.2778∗ | 0.1740∗ | 0.0149 | 1 | |
0.000 | 0.162 | 0.2737 | 0.000 | 0.000 | 0.000 | 0.3078 | |||
(4487) | (4679) | (4924) | (5079) | (5079) | (5043) | (4695) | (5343) | ||
HCAP | 0.0678∗ | 0.0430∗ | 0.1726∗ | 0.6399∗ | 0.6081∗ | −0.0489∗ | −0.0362∗ | −0.4085∗ | 1 |
0.000 | 0.0076 | 0.000 | 0.000 | 0.000 | 0.0022 | 0.0267 | 0.000 | ||
(3599) | (3857) | (3846) | (3958) | (3958) | (3943) | (3740) | (4082) | (4237) |
Figures in parentheses are number of observation.
∗ are significant at p < 0.05.
Equation 3
GINI | IFDI(t − 1) | OPEN | Log GDPPC | (Log GDPPC)2 | GDPG | GOV_EXP | AGRI_EMP | HCAP | |
---|---|---|---|---|---|---|---|---|---|
GINI | 1 | ||||||||
(2098) | |||||||||
IFDI(t − 1) | −0.0974∗ | 1 | |||||||
0.000 | |||||||||
(1992) | (2749) | ||||||||
OPEN | −0.2809∗ | 0.3344∗ | 1 | ||||||
0.000 | 0.000 | ||||||||
(1952) | (2570) | (2776) | |||||||
Log GDPPC | −0.3647∗ | 0.0686∗ | 0.1801∗ | 1 | |||||
0.000 | 0.0004 | 0.000 | |||||||
(1997) | (2626) | (2766) | (2849) | ||||||
(Log GDPPC)2 | −0.3855∗ | 0.0732∗ | 0.1826∗ | 0.9959∗ | 1 | ||||
0.000 | 0.0002 | 0.000 | 0.000 | ||||||
(1997) | (2626) | (2766) | (2849) | (2849) | |||||
GDPG | 0.0923∗ | −0.005 | 0.0383∗ | −0.1063∗ | −0.1100∗ | 1 | |||
0.000 | 0.7983 | 0.0443 | 0.000 | 0.000 | |||||
(1992) | (2624) | (2755) | (2836) | (2836) | (2836) | ||||
GOV_EXP | −0.4333∗ | 0.1781∗ | 0.2896∗ | 0.4608∗ | 0.4593∗ | −0.2256∗ | 1 | ||
0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||||
(1353) | (1781) | (1837) | (1853) | (1853) | (1847) | (1863) | |||
AGRI_EMP | 0.2751∗ | −0.0676∗ | −0.2192∗ | −0.8636∗ | −0.8405∗ | 0.1074∗ | −0.4694∗ | 1 | |
0.000 | 0.0004 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | |||
(2091) | (2697) | (2711) | (2772) | (2772) | (2759) | (1836) | (2944) | ||
HCAP | −0.2777∗ | 0.0256 | 0.1796∗ | 0.6072∗ | 0.5725∗ | −0.0703∗ | 0.2564∗ | −0.6812∗ | 1 |
0.000 | 0.2257 | 0.000 | 0.000 | 0.000 | 0.0008 | 0.000 | 0.000 | ||
(1758) | (2243) | (2234) | (2282) | (2282) | (2273) | (1511) | (2361) | (2407) |
Figures in parentheses are number of observation.
∗ are significant at p < 0.05.
List of country groupings.
Advanced economies | ||
1. America | Canada, United States | |
2. Asia | Israel, Japan | |
3. Europe | Austria, 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. Oceania | Australia, New Zealand | |
Emerging-market economies | ||
1. Africa | Egypt, Nigeria & South Africa | |
2. America | Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay, Venezuela | |
3. Asia | China, Korea, India, Indonesia, Malaysia, Philippines, Singapore, Thailand | |
4. Middle-East | Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, Turkey, United Arab Emirates | |
5. Europe | Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Russian Federation | |
Developing economies | ||
1. Africa | Eastern Africa | Burundi, Djibouti, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Mozambique, Rwanda, Somalia, Uganda, United Republic of, Tanzania, Zambia, Zimbabwe |
Middle Africa | Angola, Cameroon, Central African Republic, Chad, Congo, Dem. Rep. of the Congo, Gabon | |
Northern Africa | Algeria, Libya, Morocco, Sudan, Tunisia | |
South Africa | Botswana, Lesotho, Namibia | |
Western Africa | Benin, Burkina Faso, Cabo Verde, Côte d’Ivoire, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Senegal, Sierra Leone & Togo | |
4. America | Caribbean | Antigua and Barbuda, Barbados, Cuba, Dominica, Dominican Republic, Grenada, Haiti, Jamaica, Trinidad and Tobago |
Central America | Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua | |
5. Asia | Eastern | Mongolia |
Southern | Afghanistan, Bangladesh, Bhutan, Iran (Islamic Republic of), Maldives, Nepal, Pakistan, Sri Lanka | |
South-Eastern | Cambodia, Lao People’s Dem. Rep., Myanmar, Viet Nam | |
Western Asia | Iraq, Jordan, Lebanon, Yemen | |
6. Oceania | Fiji, Guam, Kiribati, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, | |
Transition economies | Albania, Armenia, Azerbaijan, Bosnia & Herzegovina, Georgia, Kazakhstan, Kyrgyzstan, Montenegro, Moldova, Serbia, Tajikistan, Macedonia, Turkmenistan, Ukraine, Uzbekistan |
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
Equation 1: Impact of inward FDI on health (FE).
Dependent variable: LIFE_EXP.
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
Full-sample | Advanced | Emerging-market | Developing | Transition | |
IFDI(t − 1) | −0.00259∗∗∗ | −0.00309∗∗∗ | −0.0243∗∗ | 0.00193 | −0.0212 |
(0.000955) | (0.000714) | (0.00936) | (0.00913) | (0.0184) | |
OPEN | 0.0134∗∗∗ | 0.0164∗∗∗ | 0.0167 | 0.00403 | −0.00877 |
(0.00408) | (0.00522) | (0.01) | (0.00616) | (0.0104) | |
HCAP | 0.00674 | 0.0279 | 0.00859 | 0.00587 | −0.0747∗ |
(0.011) | (0.0244) | (0.0307) | (0.0118) | (0.0398) | |
Log GDPPC | 29.48∗∗∗ | −63.45 | 43.52∗∗∗ | 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_EXP | 0.234∗∗∗ | 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 EXP | 0.117 | −0.134 | 0.259 | 0.125 | 0.388∗∗ |
(0.0992) | (0.197) | (0.191) | (0.124) | (0.163) | |
Constant | 71.76∗∗∗ | 73.19∗∗∗ | 73.02∗∗∗ | 71.32∗∗∗ | 82.66∗∗∗ |
(1.408) | (3.313) | (3.315) | (1.77) | (3.627) | |
n | 2023 | 350 | 452 | 1046 | 164 |
R-squared | 0.755 | 0.833 | 0.751 | 0.796 | 0.777 |
Number of countries | 158 | 25 | 33 | 88 | 11 |
F-ratio | 95.00 | 47.70 | 21.87 | 77.91 | 22.17 |
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) |
Figures in parentheses are robust standard errors.
∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.
n = number of observations.
Equation 2: Impact of inward FDI on socio-protection (FE).
Dependent variable: UNEMP.
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
Full-sample | Advanced | Emerging-market | Developing | Transition | |
IFDI(t − 1) | 0.00255 | −0.00113 | −0.0431 | 0.000163 | −0.022 |
(0.00314) | (0.00254) | (0.0502) | (0.0162) | (0.0384) | |
OPEN | −0.0043 | 0.0343∗∗ | −0.00693 | −0.0123∗ | −0.0125 |
(0.00522) | (0.014) | (0.00958) | (0.00737) | (0.0181) | |
HCAP | −0.0162 | 0.0368∗ | −0.00782 | −0.0151 | 0.0117 |
(0.015) | (0.0187) | (0.0237) | (0.0166) | (0.0504) | |
Log GDPPC | 29.48∗∗∗ | −63.45 | 43.52∗∗∗ | 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∗∗∗ | 0.0405 | 0.272 | 0.468 |
(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) | |
n | 3090 | 497 | 656 | 1711 | 224 |
R-squared | 0.134 | 0.509 | 0.179 | 0.132 | 0.267 |
Number of countries | 158 | 25 | 33 | 88 | 12 |
F-ratio | 6.49 | 12.94 | 3.24 | 2.72 | 24.53 |
(0.00) | (0.00) | (0.01) | (0.01) | (0.00) |
Figures in parentheses are robust standard errors.
∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.
n = number of observations.
e = 10.
Equation 3: Impact of inward FDI on income-distribution (FE).
Dependent variable: GINI index (World Bank estimate).
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
Full-sample | Advanced | Emerging-market | Developing | Transition | |
IFDI(t − 1) | 0.00509∗ | −0.00157 | 0.0278 | 0.0801 | 0.137 |
(0.00267) | (0.00244) | (0.0282) | (0.0853) | (0.0725) | |
OPEN | 0.00839 | 0.0169 | 0.00252 | −0.02 | 0.0825∗∗∗ |
(0.0131) | (0.0113) | (0.0114) | (0.0252) | (0.0172) | |
HCAP | 0.0303 | 0.0898∗ | 0.114∗ | −0.039 | 0.161 |
(0.0434) | (0.0509) | (0.064) | (0.0444) | (0.096) | |
Log GDPPC | −16.14 | 140.1∗ | −145.2∗∗∗ | 34.88 | −63.79∗∗ |
(32.69) | (71.9) | (39.74) | (49.11) | (18.95) | |
(Log GDPPC)2 | 0.424 | −18.25∗∗ | 16.97∗∗∗ | −6.62 | 5.570∗ |
(4.309) | (8.455) | (4.872) | (6.905) | (2.608) | |
GDPG | −0.000497 | 0.00539 | −0.017 | 0.0205 | 0.0752∗∗∗ |
(0.0306) | (0.0477) | (0.0779) | (0.0583) | (0.0143) | |
GOV_EXP | −0.100∗∗ | −0.0157 | −0.269∗∗∗ | −0.156 | 0.0661 |
(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) | |
Constant | 97.05 | −237.4 | 346.4∗∗∗ | 22.11 | 161.5∗∗∗ |
(61.79) | (154.2) | (77.89) | (88.25) | (36.54) | |
n | 1068 | 296 | 313 | 369 | 90 |
R-squared | 0.087 | 0.239 | 0.185 | 0.183 | 0.749 |
Number of countries | 88 | 24 | 23 | 34 | 7 |
F-ratio | 2.06 | 1.23 | 4.96 | 1.59 | 2.01 |
(0.00) | (0.33) | (0.00) | (0.16) | (0.00) |
Figures in parentheses are robust standard errors.
∗∗∗, ∗∗. ∗ are significant respectively to p < 0.01, p < 0.05, p < 0.1.
n = number of observations.
References
Anderson, S, and S. Alkire. 2003. “Valuing Freedoms: Sen’s Capability Approach and Poverty Reduction.” Ethics 113 (3): 678–80.10.1086/345642Search in Google Scholar
Ang, J., and J. B. Madsen. 2013. “International R&D Spillovers and Productivity Trends in the Asian Miracle Economies.” Economic Inquiry 51: 1523–41, https://doi.org/10.1111/j.1465-7295.2012.00488.x.10.1111/j.1465-7295.2012.00488.xSearch in Google Scholar
Anyanyu, J. C. 2013. “Characteristics and Macroeconomic Determinants of Youth Employment in Africa.” African Development Review 113: 107–29, https://doi.org/10.1111/j.1467-8268.2013.12019.Search in Google Scholar
Asiedu, E. 2002. “On the Determinants of Foreign Direct Investment to Developing Countries: Is Africa Different?.” Development Policy Review, 2004 22 (4): 371–79. https://doi.org/10.2139/ssrn.280062.Search in Google Scholar
Asiedu, E., and K. Gyimah-Brempong. 2007. Effect of the Liberalization of Investment Policies on Employment and Investment of Multinational Corporations in Africa. No 69, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER).Search in Google Scholar
Banerjee, D., and S. Chaudhuri. 2010. “FDI in Agricultural Land, Welfare and Unemployment in a Developing Economy.” Research in Economics. MPRA Paper No. 23488. https://doi.org/10.1016/j.rie.2010.05.002.Search in Google Scholar
Blomström, M., and A. Kokko. 2003;2001. “Foreign Direct Investment and Spillovers of Technology.” International Journal of Technology Management 22 (5–6): 435–54, https://doi.org/10.1504/IJTM.2001.002972.Search in Google Scholar
Blomström, M., and F. Sjöholm. 1999. “Technology Transfer and Spillovers: Does Local Participation with Multinationals Matter?.” European Economic Review 43 (4–6): 915, https://doi.org/10.1016/S0014-2921(98)00104-4.Search in Google Scholar
Carp, L. 2012. “The Impact of FDI on the Labor Market in Central and Eastern Europe during the International Crisis.” Review of Applied Socio–Economic Research, Pro Global Science Association 43 (1): 43–54.Search in Google Scholar
Contessi, S., and A. Weinberger. 2009. “Foreign Direct Investment, Productivity, and Country Growth: An Overview.” Federal Reserve Bank of St. Louis Review 91 (2): 61–78, https://doi.org/10.20955/r.91.61-78.Search in Google Scholar
Damijan, J. P., M. Rojec, B. Majcen, and M. Knell. 2003. “The Role of FDI, Absorptive Capacity and Trade in Transferring Technology to Transition Countries: Evidence from Firm Panel Data for Eight Transition Countries.” Economic Systems 27: 189–204, https://doi.org/10.1016/S0939-3625(03)00039-6.Search in Google Scholar
Damijan, J. P., M. Rojec, B. Majcen, and M. Knell. 2013. “Impact of Firm Heterogeneity on Direct and Spillover Effects of FDI: Micro-evidence from Ten Transition Countries.” Journal of Comparative Economics, Elsevier 41 (3): 895–922, https://doi.org/10.1016/j.jce.2012.12.001.Search in Google Scholar
Deaton, A. 2003. “Health, Inequality, and Economic Development.” Journal of Economic Literature 41: 113–58, https://doi.org/10.1017/S0043887112000275.Search in Google Scholar
Dutt, P., D. Mitra, and P. Ranjan. 2009. “International Trade and Unemployment: Theory and Cross-National Evidence.” Journal of International Economics 50: 187–216, https://doi.org/10.1016/j.jinteco.2009.02.005.Search in Google Scholar
Díaz, M. M., and L. Rodriguez-Chamussy. 2016. Cashing in on Education: Women, Childcare, and Prosperity in Latin America and the Caribbean. The World Bank. https://doi.org/10.1596/978-1-4648-0902-6 q15.Search in Google Scholar
Fay, M., and M. Morrison. 2007;2006. Infrastructure in Latin America and the Caribbean: Recent Developments and Key Challenges [elektronisk resurs]. Washington, DC: World Bank.10.1596/978-0-8213-6676-9Search in Google Scholar
Herzer, D., and P. Nunnenkamp. 2012. FDI and Health in Developed Economies: A Panel Cointegration Analysis. Kiel Working Paper No. 1756, Kiel: Kiel Institute for the World Economy.Search in Google Scholar
Herzer, D., and P. Nunnenkamp. 2015. “Income Inequality and Health: Evidence from Developed and Developing Countries.” Economics: The Open-Access, Open-Assessment E-Journal 9: 1–57, https://doi.org/10.5018/economics-ejournal.ja.2015-4.Search in Google Scholar
Inekwe, J. 2014. “FDI, Employment and Economic Growth in Nigeria.” African Development Review, https://doi.org/10.1111/1467-8268.12039.Search in Google Scholar
Lall, S. 1995. “Employment and Foreign Investment: Policy Options for Developing Countries.” International Labour Review 134 (4–5): 521–40.Search in Google Scholar
Leone, T. 2008. “Development and Economic Growth.” In The Companion to Development Studies, edited by V. Desai, and R. B. Potter, 37–9. London: Hodder Education.Search in Google Scholar
Lwanda, G. C. 2006. Nepad and HIV/Aids: The Contribution of South African Multinational Companies to the Continental Fight. Report 50. Johannesburg: South African Institute of International Affairs.Search in Google Scholar
Nussbaum, M. 1988. Nature, Functioning and Capability: Aristotle on Political Distribution: Oxford Studies in Ancient Philosophy (Supplementary Volume), 6, 145–84.Search in Google Scholar
Nussbaum, M. 2000. Women and Human Development: The Capabilities Approach. Cambridge: Cambridge University Press.10.1017/CBO9780511841286Search in Google Scholar
Nussbaum, M., and A. Sen. 1993. The Quality of Life. Oxford [England]: Clarendon Press.10.1093/0198287976.001.0001Search in Google Scholar
OECD. 2016. Broadband Policies for Latin America and the Caribbean. Paris: OECD publishing.Search in Google Scholar
Preston, S. H. 1975. “The Changing Relation between Mortality and Level of Economic Development.” Population Studies 29: 231–48, https://doi.org/10.1080/00324728.1975.10410201.Search in Google Scholar
Sen, A. 1994. “Capability and Well-being.” In An Anthology, edited by D. Housman, 1st ed. United States of America: Cambridge University Press, 270–95.Search in Google Scholar
Sen, A. 1999. Development as Freedom. New York: Knopf.Search in Google Scholar
Thirlwall, A. P. 2008. “Development and Economic Growth.” In The Companion to Development Studies, edited by V. Desai, and R. B. Potter, 37–9. London: Hodder Education.Search in Google Scholar
Todaro, M. P., and S. C. Smith. 2004. Economic Development, 9th ed.: Addison-Wesley.Search in Google Scholar
United Nations.1980. Resolutions and Decisions Adopted by the General Assembly during its Thirty Fourth Session, 18 September 1979 to 7 January 1980. New York: United Nations.Search in Google Scholar
Waldkirch, A. 2010. “The Effects of Foreign Direct Investment in Mexico since NAFTA.” The World Economy, https://doi.org/10.1111/j.1467-9701.2009.01244.x.Search in Google Scholar
Wilkinson, R. G., and K. E. Pickett. 2006. “Income Inequality and Population Health: A Review and Explanation of the Evidence.” Social Science and Medicine 62: 1768–84, https://doi.org/10.1016/j.socscimed.2005.08.036.Search in Google Scholar
World Bank, https://www.worldbank.org.Search in Google Scholar
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Articles in the same Issue
- Original Articles
- Four Patterns in the Evolution of Dismissal and Resignation: An Epitome of the Labor Law Regime during Forty Years of Reform and Opening Up
- Why Are Inferior Seats “Underpriced”? Evidence from the English Premier League
- Corporations as the Outgroup?
- Transaction Cost and the Theory of Games: The “Prisoners’ Dilemma” as an Example
- Does Foreign Direct Investment (FDI) Promote Socioeconomic Development? Evidence from Advanced, Emerging-market, Developing and Transition Economies
- Competition
- Wisdom of the Past
- Henry Martyn on East-India Trade
Articles in the same Issue
- Original Articles
- Four Patterns in the Evolution of Dismissal and Resignation: An Epitome of the Labor Law Regime during Forty Years of Reform and Opening Up
- Why Are Inferior Seats “Underpriced”? Evidence from the English Premier League
- Corporations as the Outgroup?
- Transaction Cost and the Theory of Games: The “Prisoners’ Dilemma” as an Example
- Does Foreign Direct Investment (FDI) Promote Socioeconomic Development? Evidence from Advanced, Emerging-market, Developing and Transition Economies
- Competition
- Wisdom of the Past
- Henry Martyn on East-India Trade