scholarly journals Trade Openness and Output Comovement in EU Emerging Countries: A Panel Data Approach

2015 ◽  
pp. 1-15
Author(s):  
Bogdan Murarașu ◽  
◽  
Alina Bobașu ◽  
Keyword(s):  
Panel Data ◽  
Trade Openness ◽  
Emerging Countries

Determinants of Industrial Development

2021 ◽  
pp. 378-406
Author(s):  
Fiona Tregenna ◽  
Kevin Nell ◽  
Chris Callaghan
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Exchange Rate ◽  
Panel Data ◽  
Industrial Development ◽  
Trade Openness ◽  
Developed Countries ◽  
Government Consumption ◽  
Capital Account Liberalization ◽  
Exchange Rate Depreciation

Global evidence suggests that, for many countries, manufacturing typically has an inverted U-shaped relationship with development. But unlike the historical experience of most developed countries, for most developing countries the turning point of this relationship is occurring sooner in the development process, and at substantially lower levels of income. This is termed ‘premature deindustrialization’. The consequences of this may be particularly important if such countries can no longer rely on manufacturing-led development. Why are some countries more industrialized, or more deindustrialized, than other comparable countries? To explore these issues, this chapter uses panel-data econometric techniques to analyse the determinants of the share of manufacturing in GDP, across countries and across time. Domestic determinants include investment, government consumption, population size, human capital, democracy, and natural resource endowments. External determinants include trade openness, capital account liberalization, and exchange rate depreciation.

Determinants of FDI in developed and developing countries: a quantitative analysis using GMM

2018 ◽  
Vol 45 (2) ◽  
pp. 348-382 ◽  
Author(s):  
Neha Saini ◽  
Monica Singhania
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Multinational Corporations ◽  
Management Practices ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Trade Openness ◽  
Content Type ◽  
Generalized Moments ◽  
Determinants Of Fdi

PurposeThe purpose of this paper is to investigate the potential determinants of FDI, in developed and developing countries.Design/methodology/approachThis paper investigates FDI determinants based on panel data analysis using static and dynamic modeling for 20 countries (11 developed and 9 developing), over the period 2004-2013. For static model estimations, Hausman (1978) test indicates the applicability of fixed effect/random effect, while generalized moments of methods (GMM) (dynamic model) is used to capture endogeneity and unobserved heterogeneity.FindingsThe outcome across different countries depicts diverse results. In developed countries, FDI seeks policy-related determinants (GDP growth, trade openness, and freedom index), and in developing country FDI showed positive association for economic determinants (gross fixed capital formulation (GFCF), trade openness, and efficiency variables).Research limitations/implicationsThe destination of FDI is limited to 20 countries in the present paper. The indicator of the institutional environment, namely economic freedom index, used in this paper has received some criticism in calculations.Practical implicationsThe paper enlists recommendations for future FDI policies and may assist government in providing a tactical framework for skill development, thereby increasing manufacturing growth rate. The paper also throws light on vertical and horizontal capital inflows considering resource, strategy, and market-seeking FDI.Social implicationsFDI may bring significant benefits by creating high-quality jobs, introducing modern production and management practices. It highlights how multinational corporations and government contribute to better working conditions in host countries.Originality/valueThe paper uncovers important features like macroeconomic variables, especially country-wise efficiency scores, policy variables, GFCF, and freedom index, for determining FDI inflows in 20 countries using panel data methods and provides a roadmap for developed and developing countries. The study highlights endogeneity and unobserved heteroscedasticity by applying GMM one- and two-step procedure.

scholarly journals Determinants of Foreign Direct Investment in Middle-Income Countries: New Middle-Income Trap Evidence

2017 ◽  
Vol 8 (1) ◽  
pp. 58-70 ◽  
Author(s):  
Ioannis A. Tampakoudis ◽  
Demetres N. Subeniotis ◽  
Ioannis G. Kroustalis ◽  
Manolis I. Skouloudakis
Keyword(s):  
Direct Investment ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Emerging Countries ◽  
Middle Income ◽  
Fdi Inflows ◽  
Middle Income Countries ◽  
Economic Level ◽  
Middle Income Trap ◽  
Gathering Data

Abstract The determinants of FDI have been examined extensively in the literature; however, the empirical findings are inconclusive and often diverging. Developing and emerging countries have attracted the bulk of FDI inflows since the early 2000s, subsequently improving their economic level. Nevertheless, many middle-income countries got stuck in the middle-income trap, failing to make the transition to the high-income level. The study investigates the effects of certain determinants on FDI inflows to middle-income countries, with respect to avoiding the middle-income trap. We employ a panel data analysis for fifteen middleincome countries gathering data from 1980 onwards. The results highlight the significance of trade openness, GDP and population growth on inward FDI, while financial development, inflation, infrastructure and fuel exports are found to be insignificant. Empirical findings may force governments to apply policies in certain areas, with the aim of attracting further FDI while at the same time escaping the middle-income trap.

The Impact of Total Factor Productivity on Economic Growth for Developed and Emerging Countries: A Second-generation Panel Data Analysis

2017 ◽  
Vol 11 (4) ◽  
pp. 404-417 ◽  
Author(s):  
Ömer Yalçınkaya ◽  
İbrahim Hüseyni ◽  
Ali Kemal Çelik
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Second Generation ◽  
Capital Formation ◽  
Emerging Countries ◽  
Fixed Capital ◽  
Factor Productivity ◽  
Fixed Capital Formation ◽  
The Impact

This article investigates the determinants of economic growth and also seeks to determine whether or not the impact of total factor productivity (TFP) changes with respect to the level of development for selected countries. In this manner, the present study examines the impact of gross fixed capital formation, employed labour and the TFP of G-7, G-12 and G-20 countries on real GDP per capita using second-generation panel data analyses over the period 1992–2014. The results reveal that TFP has a greater impact on economic growth than fixed capital formation and employed labour for all country groups. Furthermore, the impact of TFP on economic growth was found to be greater for developed countries than for emerging countries. JEL Classification: C21, C22, C23

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