The effect of foreign direct investment on structural transformation in developing countries

被引:12
作者
Emako, Ezo [1 ]
Nuru, Seid [1 ]
Menza, Mesfin [1 ]
机构
[1] Arba Minch Univ, Econ, Arba Minch, Ethiopia
关键词
foreign direct investment; structural transformation; structural change; economic growth; developing countries; PRINCIPAL COMPONENT ANALYSIS; ECONOMIC-GROWTH; FARM SIZE; INDUSTRIALIZATION; PRODUCTIVITY; LINKAGES; PATTERNS;
D O I
10.1080/23322039.2022.2125658
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the effects of foreign direct investment (FDI) on structural transformation using panel data from 44 developing countries and four newly industrialized countries from 1990 to 2018 by employing the generalized method of moment approach of Arellano-Bond (1991). The estimated results suggest that FDI inflows have a positive significant effect on the structural transformation. In addition, the paper explores the channels through which FDI affects structural transformation. The Principal Component Analysis (PCA) indicates that structural change contributes 55.95 percent to structural transformation, followed by capital accumulation (37.92 percent) and economic growth (6.13 percent). Particularly, manufacturing and service-sector output and employment growth, as well as urbanization, are major pathways via which FDI fosters structural transformation in developing countries. Therefore, special consideration should be given to FDI motivated by manufacturing exports, as well as policies that boost absorption capacity and enable labor mobility in developing countries.
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页数:23
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共 73 条
[1]   Principal component analysis [J].
Abdi, Herve ;
Williams, Lynne J. .
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2010, 2 (04) :433-459
[2]   Do domestic firms benefit from direct foreign investment? Evidence from Venezuela [J].
Aitken, BJ ;
Harrison, AE .
AMERICAN ECONOMIC REVIEW, 1999, 89 (03) :605-618
[3]   The Effect of the Normalization Method Used in Different Sample Sizes on the Success of Artificial Neural Network Model [J].
Aksu, Gokhan ;
Guzeller, Cem Oktay ;
Eser, Mehmet Taha .
INTERNATIONAL JOURNAL OF ASSESSMENT TOOLS IN EDUCATION, 2019, 6 (02) :170-192
[4]   Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use? [J].
Alavi, Mousa ;
Visentin, Denis C. ;
Thapa, Deependra K. ;
Hunt, Glenn E. ;
Watson, Roger ;
Cleary, Michelle .
JOURNAL OF ADVANCED NURSING, 2020, 76 (08) :1886-1889
[5]  
[Anonymous], 2019, Informatica Economica, DOI DOI 10.12948/ISSN14531305/23.4.2019.03
[6]  
Anyanwu J C., 2017, Asian Development Policy Review, V5, P281
[7]  
Areef Suleman Areef Suleman, 2009, Pakistan Development Review, V48, P821
[8]  
Awaliyyah EZ., 2020, AGR SOCIO EC J, V20, P335, DOI [DOI 10.21776/UB.AGRISE.2020.20.4.9, 10.21776/ub.agrise.2020.020.4.9, DOI 10.21776/UB.AGRISE.2020.020.4.9]
[9]   Structural Transformation Paths Across Countries [J].
Bah, El-hadj M. .
EMERGING MARKETS FINANCE AND TRADE, 2011, 47 :5-19
[10]   THE RELATIONSHIP BETWEEN THE CONSEQUENCES ADOLESCENTS EXPECT FROM SMOKING AND THEIR BEHAVIOR - A FACTOR-ANALYSIS WITH PANEL DATA [J].
BAUMAN, KE ;
CHENOWETH, RL .
JOURNAL OF APPLIED SOCIAL PSYCHOLOGY, 1984, 14 (01) :28-41