Political stability and FDI in the most competitive Asia Pacific countries

2017 ◽  
Vol 9 (02) ◽  
pp. 140-155 ◽  
Author(s):  
Mamunur Rashid ◽  
Xuan Hui Looi ◽  
Shao Jye Wong
Keyword(s):  
Trade Openness ◽  
Political Stability ◽  
Building Blocks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Asia Pacific ◽  
Fdi Inflows ◽  
Content Type ◽  
Liberal Trade ◽  
Determinants Of Fdi

Purpose Competitiveness is vital to attracting FDI into a country, which has led us to investigate the determinants of FDI in the top 15 most competitive countries in the Asia Pacific region. Design/methodology/approach We have analysed political stability alongside other commonly studied determinants of FDI. We have employed a panel data fixed-effect model on a 14-year sample data (2000-2013) involving the top 15 most competitive Asia Pacific countries. The Global Competitiveness Index was taken as the yardstick to identify these countries. We have used fixed effect, GMM-system, and Panel ARDL tests for robust results. Findings The GDP, trade openness and political stability positively influenced FDI inflows while inflation rate negatively impacted FDI inflows in the selected countries. Political stability was the most influential variable in the presence of other indicators. GDP, openness, and political stability exhibit significant long-run relationship with FDI inflows. Research limitations/implications To increase FDI flows, regulators should focus on building the image of the country, and possibly the region, by ensuring stable economic and political environment, maintaining macroeconomic stability through bi- and multi-lateral arrangements with neighbouring countries. Originality/value Regional relationships with neighbouring countries can be considered as the building blocks for attracting FDIs. These relationships can be strengthened based on liberal trade policies, openness in capital control, and cooperation in terms of political actions. One such recent issue in regional political cooperation include actions to reduce terrorism and corruption that help boost the confidence of the investors.

scholarly journals Determinant of FDI Inflows in OIC Countries

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Tania Megasari ◽  
Samsubar Saleh
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rates ◽  
Direct Investment ◽  
Trade Openness ◽  
Political Stability ◽  
Fixed Effect Model ◽  
Fdi Inflows ◽  
Macroeconomic Variables ◽  
Effect Model

This study aims to analyze the determinants of foreign direct investment (FDI) in the Organization of Islamic Cooperation (OIC) country members for the period 2005 to 2018 The determinant variables of FDI are corruption, political stability and macroeconomic variables such as inflation, exchange rates, economic growth, and trade openness. Analysis used in the study  is the fixed effect model (FEM) of the OIC data panel.The results showed that economic growth and trade openness had a significant influence on foreign direct investment (FDI), while the effects of corruption, political stability, inflation and the exchange rate have no significant effect on foreign direct investment (FDI).

Sectoral analysis of productivity in the developing and developed economies of Asia-Pacific

2019 ◽  
Vol 13 (1) ◽  
pp. 37-71
Author(s):  
Pami Dua ◽  
Niti Khandelwal Garg
Keyword(s):  
Technological Progress ◽  
Developing Economies ◽  
Trade Openness ◽  
Institutional Quality ◽  
Asia Pacific ◽  
Government Size ◽  
Financial Openness ◽  
Content Type ◽  
Developed Economies ◽  
The Impact

Purpose The study aims to empirically investigate the trends and determinants of labour productivity of the two broad sectors –industry and services – and their components, namely, manufacturing and market services sectors, in the case of major developing and developed economies of Asia-Pacific over the period 1980-2014 and make a comparison thereof. Design/methodology/approach The study uses econometric methodology of panel unit root tests, panel cointegration and group-mean full modified ordinary least squares (FMOLS). Findings The study finds that while capital deepening, government size, institutional quality, productivity of the other sector and financial openness affect productivity of all the sectors significantly, the impact of human capital and trade openness varies across sectors in the case of developing economies. Furthermore, the impact of technological progress becomes significant in the post-liberalization reforms period in the developing economies. The study further finds that capital deepening, human capital, government size, institutional quality, productivity of the other sector, government size and trade openness are significant determinants of productivity of all sectors of developed economies under consideration. However, the impact of technological progress is stronger for manufacturing sector than services and its components. Furthermore, while both equity and debt liabilities (as measures of financial openness) influence sectoral productivity of industry and manufacturing sectors positively and significantly in case of developed economies, only equity liabilities have a significant influence on the productivity of developing economies. This may indicate existence of more developed financial markets in the case of developed economies. Originality/value The study identifies important structural differences in determinants of productivity both across sectors and across developing and developed economies of Asia-Pacific.

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.

Determinants of Foreign Direct Investment in ASEAN

2008 ◽  
Vol 43 (3) ◽  
pp. 21-51 ◽  
Author(s):  
P.R. Bhatt
Keyword(s):  
National Income ◽  
Least Square Method ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Fixed Effect ◽  
Least Square ◽  
Negative Sign ◽  
Significant Variable ◽  
Fdi Inflows ◽  
Effect Model

The ASEAN region has become one of the most attractive investment locations in the developing world. It attracted FDI to the tune of US$19 billion in 2003. Among ASEAN countries, Singapore topped the list with US$11 billion FDI inflows followed by Malaysia (US$2.5 bn), Brunei (US$.0 bn), and Vietnam (USɁ5 bn) in 2003. An attempt has been made in this paper to understand the determinants of FDI in ASEAN. The empirical model is estimated for five countries of ASEAN and ASEAN region as a whole for the period 1976-2003. The estimation of the model shows that there is a positive influence of the size of the economy (GNI) on FDI inflows in the case of Indonesia and Singapore. The infrastructure is significant for Indonesia and Malaysia in attracting FDI. Exchange rate had influence on FDI for Malaysia. The openness of the economy was significant in attracting FDI for Indonesia. The model is estimated for panel data of ASEAN region by pooled least square method and fixed effect model. In the case of pooled least square method, gross national income (GNI) is very significant and having expected sign. This implies that market size attracted FDI in the ASEAN region. The depreciation of the currency attracted FDI inflows in ASEAN as indicated by the variable XR which is significant with negative sign. Infrastructure is another significant variable in this model. Openness variable is significant but negative sign. When the model was estimated by fixed effect model it is found that all variables are significant with expected sign except in the case of the variable openness.

scholarly journals Determinants of Foreign Direct Investment: A Panel Data Analysis for Sub-Saharan African Countries

2019 ◽  
Vol 9 (1) ◽  
pp. 80-87 ◽  
Author(s):  
Semra Boğa
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Gdp Growth ◽  
Annual Data ◽  
African Countries ◽  
Fdi Inflows ◽  
Sub Saharan ◽  
Determinants Of Fdi

The aim of this study is to investigate the determinants of FDI inflows in Sub-Saharan African countries. In this study, panel data analysis was performed by using annual data from 23 countries for the period of 1975-2017. The Pesaran (2004) Cross-Section Dependence Test was performed to test correlation and IPS Unit Root Test was applied to reveal the stationary level between the units. Based on the PMG estimator results GDP growth, trade openness, domestic credit, natural resources and telecommunication infrastructure are all found to be the determinants of FDI inflows in Sub-Saharan countries in the long term. But, in the short term, only the GDP growth and trade openness determines the FDI inflows.

Endogenous thresholds for the determinants of FDI inflows: evidence from the MENA countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatma Taşdemir
Keyword(s):  
International Trade ◽  
Financial Development ◽  
Natural Resource ◽  
Developing Economies ◽  
Emerging Market ◽  
Push Factors ◽  
Fdi Inflows ◽  
Content Type ◽  
Financial Depth ◽  
Determinants Of Fdi

PurposeThis paper investigates the main drivers of foreign direct investment (FDI) inflows for a balanced panel of 11 Middle East and North Africa (MENA) economies over the 1995–2017 annual period. The author postulates that the impacts of the main pull (growth) and push (global financial conditions, GFC) factors may not be invariant to endogenously estimated thresholds for structural domestic conditions (SDCs) including trade and capital account openness, financial development, human capital (HC) and natural resource endowments.Design/methodology/approachThe author investigates whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors on FDI inflows for the MENA sample by employing panel fixed effects threshold procedure of Hansen (1999). As a robustness check, the author also present the results of the dynamic panel data two-step system generalized method of moments (GMM) estimation, which explicitly consider the potential endogeneity of SDC along with main pull factor for the evolution of FDI inflows.FindingsGrowth, GFC and SDC are important drivers of FDI inflows. The impacts of SDC tend to be higher in countries with higher financial depth, openness to international trade and finance and lower natural resource and HC endowments. The sensitivities of FDI inflows to GFC are substantially higher in the countries which are more open to international trade and capital flows and higher levels of financial depth. FDI inflows are found to be pro-cyclical and this pro-cyclicality tends to be much higher for the episodes exceeding the SDC thresholds.Practical implicationsImproving SDC including higher openness to international trade and finance and financial development may be effective in encouraging FDI inflows. The findings support an argument that, better SDC are crucially important not only for attracting FDI but also achieving the growth benefits of FDI inflows. Therefore, improving SDC appears to be an important growth-oriented policy agenda for emerging market and developing economies (EMDEs) including MENA.Originality/valueThe impacts of the main push and pull factors on FDI (and capital) inflows may be nonlinear. The literature often tackles the nonlinearity issue either by some interaction specifications or imposing exogenous thresholds. The literature, however, is yet to comprehensively investigate whether the main SDC provide endogenous thresholds for the impacts of basic pull and push factors. The author aims to contribute to the literature by estimating endogenous SDC threshold levels for the impacts of the main determinants of FDI flows for MENA.

scholarly journals Impact of Urbanization and Economic Growth on CO2 Emission: A Case of Far East Asian Countries

2020 ◽  
Vol 17 (7) ◽  
pp. 2531 ◽  
Author(s):  
Asim Anwar ◽  
Mustafa Younis ◽  
Inayat Ullah
Keyword(s):  
Economic Growth ◽  
Co2 Emission ◽  
Industrial Structure ◽  
Trade Openness ◽  
Far East ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Total Energy Consumption ◽  
Variable Bias ◽  
Impact Of Urbanization

Rising CO2 emission constitute a great threat to the world environment and public health. This study examines the major determinants of CO2 emissions in Far East countries in the period of 1980 to 2017. We adopt a panel data-fixed effect model that accounts for time-invariant country-specific characteristics that may create omitted-variable bias. We also additionally take care of the time trend by applying an annual fixed effect into our model. The study finds that urbanization, economic growth and trade openness significantly determine CO2 emission in the selected countries. Thus, the main policy suggestions are (a) to encourage green and sustainable urbanization, as it helps in economic progress but not at the expense of environmental deterioration; (b) to strategically regulate and improve industrial structure; and (c) enhance sharing of renewable energy in total energy consumption.

The effect of sustainability on foreign direct investment inflows: evidence from developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Neha Singh ◽  
Cheshta Kapuria
Keyword(s):  
Information Technology ◽  
Developing Countries ◽  
Electricity Consumption ◽  
Political Stability ◽  
Foreign Direct Investments ◽  
International Telecommunication Union ◽  
Fdi Inflows ◽  
Content Type ◽  
Four Dimensions ◽  
Using Data

Purpose This paper aims to analyse, the issue concerning the quality of inward foreign direct investments (FDI) by empirically investigating the role of four sustainability determinants of FDI, namely, economic, environmental, social and governance using data from 22 developing countries of the Asian region over a period from 2000–2016. Design/methodology/approach The methodology adopted to achieve this purpose is dynamic panel estimation (two-step difference generalised method of moments) by developing three econometric models. The data is sourced from the World Development, Worldwide Governance Indicators, International Telecommunication Union and the United Nations Conference on Trade and Development. Findings The econometric results indicate that, in general, control of corruption, political stability and electricity consumption influence sustainable FDI favourably; and CO2 emissions lower the extent of sustainable FDI. The result underlines deficiencies in the information technology aspect, which has a non-significant yet positive relationship with sustainable FDI. A pertinent finding of this study is that the past value of FDI inflows increases the current year’s FDI inflows in developing countries. Practical implications The findings related to gender and information technology aspects found in this paper will be of interest to both researchers and policymakers for substantially reorienting the sustainability attributes to foreign investment. Originality/value The authors’ main contributions are to encapsulate the conceptual framework into an empirical model by combining all the four dimensions, namely, environmental, economic, social and governance for developing countries.

Institutional determinants of foreign direct investment inflows: evidence from emerging markets

2019 ◽  
Vol 15 (2) ◽  
pp. 245-261 ◽  
Author(s):  
Justin Paul ◽  
Pravin Jadhav
Keyword(s):  
Foreign Direct Investment ◽  
Emerging Markets ◽  
Direct Investment ◽  
Multinational Enterprises ◽  
Political Stability ◽  
Strategic Decision ◽  
Content Type ◽  
Institutional Determinants ◽  
Using Data ◽  
Determinants Of Fdi

Purpose Foreign direct investment (FDI) is a strategic decision for achieving competitive advantage by multinational enterprises. The purpose of this paper is to explore the role of institutional determinants of FDI using data from 24 emerging markets including China, India, Indonesia, Turkey, Thailand, Malaysia and Pakistan. Design/methodology/approach In order to identify factors that attract FDI in emerging markets, this study has used data from sources such as the World Bank, Index of Economic Freedom and UNCTAD. Findings The findings of this research indicate that infrastructure quality, trade cost measured by tariff and non-tariff barriers, institutional quality measured by effective rule of law, political stability, regulatory quality and control on corruption are significant determinants of FDI in emerging markets. Originality/value This is the first study to analyze the sectoral institutional determinants of Inward FDI in the important emerging economies, to the best of authors’ knowledge.

scholarly journals Integrated Model to Measure the Impact of Terrorism and Political Stability on FDI Inflows: Empirical Study of Pakistan

2016 ◽  
Vol 8 (4) ◽  
pp. 1 ◽  
Author(s):  
Sundas Rauf ◽  
Rashid Mehmood ◽  
Aisha Rauf ◽  
Shafaqat Mehmood
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Political Stability ◽  
Negative Influence ◽  
Least Square ◽  
Series Data ◽  
Host Countries ◽  
Fdi Inflows ◽  
Gdp Growth Rate ◽  
The Impact

<p>To condense saving-investment gap, transformation of technology, creation of employment opportunities and more importantly, increasing economic development of host countries, Foreign Direct Investment (FDI) is proven to be a significant source of investment predominantly for developing countries. Numerous standing studies have scrutinized the economic impact of terrorism and political stability by referring to decrease in FDI. This study empirically enlightens the determinants of FDI for Pakistan over the period 1970 to 2013, by using annual secondary time series data. Adopting the optimistic approach, in this study, variables in the combination of terrorism, political stability, trade openness and GDP have been analyzed applying Ordinary Least Square (OLS) method. As expected, the projected results confirm that GDP, trade openness and political stability have positive and significant impact whilst terrorism has negative influence on FDI inflows in Pakistan. Because of the political stability along with stable GDP growth rate, inverse impact of terrorism has been found statistically insignificant.</p>

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