scholarly journals Foreign Direct Investment, Institutional Quality, Economic Freedom and Entrepreneurship in Emerging Markets

2013 ◽  
Author(s):  
Hernan Herrera-Echeverry ◽  
Haar Jerry ◽  
Juan Benavides
Author(s):  
Shakib Hossain ◽  
Abu Zafar Ahmed Mukul

Using panel data analysis, it is an attempt to estimates the significance of institutional quality and economic freedom on foreign direct investment for a sample of 79 developing countries from 1998 to 2014. Panel unit root, pedroni residual cointegration test, vector error correction model, generalized least square (GLS), feasible GLS (FGLS), pooled OLS, random effect, fixed effect, poisson regression, prais-winsten, generalized method of movement (GMM) and generalized estimating equation (GEE) method are utilizing for estimates the importance of institutional qualities and economic freedom for facilitating foreign direct investment. VECM confirms that there is a long run relationship among the tested variables means that commensurate institutional quality and substantive economic freedom stimulates foreign direct investment. According to the OLS method ,for the institutional quality the coefficient implies that a one standard deviation improvement in political stability and absence of violence, government effectiveness, regulatory qualities, rules of law and control of corruption increases FDI by 24.6%, 31.6%, 12.8%, 23.9% and 37.7% and on the other hand for the economic freedom , the coefficient implies that a one standard deviation improvement in business freedom, trade freedom, government size, investment freedom, property rights, freedom from corruption, labor freedom, financial freedom, fiscal freedom, monetary freedom increases FDI by 28.4%, 32.7%, 29.5%,22.8%, 29.0%, 36.4%,29.3%, 37.5%, 46.1% and 38.2% respectively. By using the other methods like random effect, fixed effect, poisson regression, prais-winsten and generalized estimating equation (GEE) method explores that both the institutional quality and economic freedom are influencing on FDI in the developing countries.


2016 ◽  
Vol 8 (11) ◽  
pp. 200 ◽  
Author(s):  
Md. Shakib Hossain

<p class="Default">This paper has explores the interplay between economic freedom, foreign direct investment and economic growth using panel data analysis for a sample of 79 developing countries from 1998 to 2014 by considering the level of economic freedom, as provided by the “Heritage Foundation”. Panel unit root, pedroni residual co-integration test, generalized least square (GLS), feasible GLS (FGLS), pooled OLS, random effect, fixed effect, poisson regression, prais-winsten, generalized method of movement (GMM) and generalized estimating equation (GEE) methods have used to estimates the relationship. According to the OLS and generalized method of movement the coefficient implies that a one standard deviation improvement in business freedom, trade freedom, size, investment freedom, property rights, freedom from corruption, labor freedom, financial freedom, fiscal freedom, monetary freedom increases FDI by 21.4%, 15.6%, 21.6%, 17.5%, 11.55, 9.1%, 6.9%, 8.5%, 7.4%, 10.3% and 56.1%, 45.3%, 58.3%, 51.6%, 33.7%, 39.2%, 47.4%, 41.6%, 32.5%, 38.5% points respectively and  for the economic variable ,the coefficient implies that a one standard deviation improvement in GDPG and GDPPC increases FDI by 24.1%, 17.4% and 30.2%, 33.4% points respectively. By using the other method like random effect, fixed effect, poisson regression, prais-winsten and generalized estimating equation (GEE) method explores that economic freedom in the host country is a positive determinants of FDI inflows in developing countries and also the result suggests that foreign direct investment is positively correlated with the economic growth in the host countries.</p>


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Nadine McCloud ◽  
Michael S. Delgado ◽  
Subal C. Kumbhakar

AbstractWe characterize the types of interactions between foreign direct investment (FDI) and economic growth, and analyze the effect of institutional quality on such interactions. To do this analysis, we develop a class of instrument-based semiparametric system of simultaneous equations estimators for panel data and prove that our estimators are consistent and asymptotically normal. Our new methodological tool suggests that across developed and developing economies, causal, heterogeneous symbiosis and commensalism are the most dominant types of interactions between FDI and economic growth. Higher institutional quality facilitates, impedes or has no effect on the interactions between FDI and economic growth.


Author(s):  
Marko Dimitrijević ◽  
Timothy Mistele

Describes frontier markets’ fast growth (71 of the world's 75 fastest-growing economies are frontier markets) and argues that the strong macroeconomic fundamentals of today’s frontier markets, including shrinking or well-financed current account deficits, lower debt levels, moderate inflation, and increased foreign direct investment, will help these markets mimic and accelerate the path to emergence taken by today’s mainstream emerging markets


Author(s):  
Natalya Smith ◽  
Ekaterina Thomas

This chapter examines innovation in socio-institutional environments of three largest and most diverse emerging markets: Russia, India and China over the period 1990-2014. It considers formal (proxied by corruption) and informal (proxied by trust) institutions and non-linear forces. It also examines the role of Foreign Direct Investment (FDI) in (the likelihood of) fostering innovation and of two research and development (R&D) inputs: R&D expenditures and personnel. A significantly positive direct effect of trust and a negative direct effect of corruption are confirmed, whilst there is a significant non-linear decreasing relationship with trust and increasing relationship with corruption. Interestingly, FDI and R&D expenditures are found to decrease innovation, whilst R&D personnel increase innovation output across the sample.


2020 ◽  
Vol 12 (8) ◽  
pp. 3135 ◽  
Author(s):  
Wencong Lu ◽  
Ikboljon Kasimov ◽  
Ibrokhim Karimov ◽  
Yakhyobek Abdullaev

This study examines the importance of natural resources, economic freedom, and sea-access in attracting foreign direct investment (FDI) inflows to the Commonwealth of Independent States (CIS), using panel data from 1998 to 2017. The Prais-Winsten regression with panel-corrected standard errors (PCSEs) is employed for all estimations. Feasible Generalized Least Squares (FGLS), Random Effects with Driscoll-Kraay standard errors (RE (D-K)), and Random Effects of Generalized Least Squares (RE (GLS)) estimators are used to test the sensitivity of PCSEs’ estimates to changes in the underlying empirical model, whereas Instrumental Variables with Two Stage Least Squares (IV (2SLS)), Limited Information Maximum Likelihood (LIML), and Baltagi’s Two-Stage Least-Squares Random-Effects (IV (EC2SLS)) estimators are used to address potential endogeneity concerns. The estimates confirm that natural resources, economic freedom, and sea-access are robust and decisive factors affecting FDI location decisions of foreign investors in CIS. More precisely, the results suggest that increased revealed comparative advantage in petroleum, higher economic freedom characterized by the increased government size and open markets, and territorial coastlines have a statistically significant and positive effect on FDI inflows to CIS transition economies. We also find that direct access to the Black Sea and the Caspian Sea provides a significant geographic competitive advantage to Azerbaijan, Kazakhstan, Georgia, Russia, Turkmenistan, and Ukraine in attracting FDI inflows over the other CIS member-states.


2019 ◽  
Vol 11 (19) ◽  
pp. 5421 ◽  
Author(s):  
Ștefan Cristian Gherghina ◽  
Liliana Nicoleta Simionescu ◽  
Oana Simona Hudea

This study aims to examine the link between foreign direct investment (FDI) inflows and economic growth, also considering several institutional quality variables, as well as sustainable development goals (SDGs) set in the 2030 Agenda for Sustainable Development. By estimating panel data regression models for a sample of 11 Central and Eastern European countries, from 2003 to 2016, the empirical outcomes provide support for a non-linear relationship between FDI and gross domestic product per capita. Regarding institutional quality, it is found that control of corruption, government effectiveness, regulatory quality, rule of law, and voice and accountability positively influence growth, while political stability and absence of violence/terrorism is not statistically significant. Moreover, SDGs such as poverty, income distribution, education, innovation, transport infrastructure, and information technology are noteworthy drivers of growth. The outcomes of panel fully modified and dynamic ordinary least squares partly confirm the findings. The panel vector error-correction model Granger causalities provide support for a short-run one-way causal association running from FDI to growth and a long-run two-way causal connection among FDI and growth. Furthermore, in the long run, unidirectional causal relationships running from each institutional quality indicator to economic growth and FDI are set out.


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