FDI Inflow, ICT Expansion and Economic Growth: An Empirical Study on Asia-Pacific Developing Countries

2019 ◽  
pp. 097215091987383 ◽  
Author(s):  
Madhabendra Sinha ◽  
Partha Pratim Sengupta

This article attempts to examine the dynamic interrelationships among foreign direct investment (FDI) inflows, information and communication technology (ICT) expansion and economic growth empirically in the Asia-Pacific developing countries over the period of 2001–2017. Besides the significant economic effects of FDI inflows, several existing evidence also documents that progress of ICT plays a crucial role in promoting the productivity and efficiency particularly in developing economies during the present period, implying that ICT should be incorporated in a wide discussed FDI and economic growth relationship as per current necessitate. Moreover, different theories and empirics refer that FDI and ICT are also interrelated in various ways. In this context, 30 developing countries are chosen from the Asia-Pacific region to conduct some advanced panel data econometric exercises using the World Bank (2018) and World Telecommunication Indicators (2018) databases. Empirical estimations applying the panel fully modified ordinary least square, dynamic ordinary least square, pooled mean group estimator, mean group estimator and dynamic fixed effect methods reveal that both FDI and ICT have positive and significant effects on economic growth, and ICT expansion also positively influences FDI inflows in those countries. So, the ICT should be improved more as an infrastructure to receive more FDI inflows and also to experience better economic growth.

2019 ◽  
Vol 11 (8) ◽  
pp. 2418 ◽  
Author(s):  
Nadia Singh ◽  
Richard Nyuur ◽  
Ben Richmond

Renewable energy is being increasingly touted as the “fuel of the future,” which will help to reconcile the prerogatives of high economic growth and an economically friendly development trajectory. This paper seeks to examine relationships between renewable energy production and economic growth and the differential impact on both developed and developing economies. We employed the Fully Modified Ordinary Least Square (FMOLS) regression model to a sample of 20 developed and developing countries for the period 1995–2016. Our key empirical findings reveal that renewable energy production is associated with a positive and statistically significant impact on economic growth in both developed and developing countries for the period 1995–2016. Our results also show that the impact of renewable energy production on economic growth is higher in developing economies, as compared to developed economies. In developed countries, an increase in renewable energy production leads to a 0.07 per cent rise in output, compared to only 0.05 per cent rise in output for developing countries. These findings have important implications for policymakers and reveal that renewable energy production can offer an environmentally sustainable means of economic growth in the future.


2020 ◽  
Author(s):  
Mehdi Seraj ◽  
Cagay Coskuner ◽  
Seyi Saint Akadiri ◽  
Negar Bahadori

Abstract This study revisited Dani Rodrik (2008) work on real exchange rate undervaluation and economic growth by using the Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS). This research, to the best of authors' knowledge, is the first to use FMOLS and DOLS approach to empirically evaluate Rodrik work on the real exchange rate and economic growth using a Panel periodic data (six sets of five years) of 82 countries throughout 1990 to 2018. We used the Balassa Samuelson method to estimate the predicted real exchange rate and real exchange rate undervaluation. Finally, the study is in support of Rodrik conclusion that, real exchange undervaluation has a significant impact on the economic growth of the developing economies and statistically insignificant in the developed economies.


2021 ◽  
Vol 9 (2) ◽  
pp. 572-580
Author(s):  
Shaikh Muhammad Saleem ◽  
Muhammad Asif Shamim ◽  
Sayma Zia ◽  
Syed Waqar-ul-Hassan

Purpose: The study examines how agricultural exports boost the economic growth of Pakistan in the long run and suggest policy implications during 1995-2018 using time series data. Methodology: Principal Component Analysis is used to construct an agricultural export index consisting of rice, raw cotton, fruits, and vegetables as variables. This quantitative study checked the structural stability of the model with cumulative-sum & cumulative-sum of the square. Rolling window analysis highlights the long-run yearly effect of the coefficient of the model. The result of variance decomposition method proof bidirectional causality where robust result proof using Fully modified ordinary least square and Dynamic ordinary least square techniques. Unit root at first difference proof stationery whereas cointegration has a long-run relationship between agricultural export and economic growth. Main Finding: The statistical estimation proofs the positive long-run association of agricultural exports with economic growth. Results explored a 26 percent increase in the economy of Pakistan by exporting agricultural goods. Application of this Study: This study helps to develop the economies if they face problems of low agricultural productivity. The agricultural export is sensitive to domestic indicators, and domestic policy can promote agricultural export, and create new potential markets. The originality of the Study: The study is suggested the agriculture techniques and their performance in developing economies.


2021 ◽  
Vol 4 (2) ◽  
pp. g11-17
Author(s):  
Tien Siew

The purpose of this study is to investigate the relationship between the inflows of Foreign Direct Investment (FDI) and economic growth in Malaysia. The sample collected for this empirical study covered 30 years of data from 1991 to 2020. The secondary data was collected annually and a total of 30 observations were taken for each variable. Ordinary Least Square (OLS) regression, unit root test, several diagnostic tests and Granger causality test were used in this research to investigate the relationship between FDI inflows and economic growth. Eviews 11 was used to analyze the time series data throughout all the tests. The result showed that the inflows of FDI has a significant negative relationship with economic growth and there is no causal relationship between FDI and Gross Domestic Product (GDP). Keywords: Economic growth, FDI inflows, Granger Causality Test, Ordinary Least Square regression, Unit Root Test


Author(s):  
Chigbu Ezeji E ◽  
Ubah Chijindu Promise ◽  
Chigbu Uzoamaka S

This study examines the impact of capital inflows on economic growth of developing economies; the case of Nigeria, Ghana and India from 1986-2012. This is necessitated by the doubts being raised as whether the huge inflows of foreign capital in developing economies over the years have transmitted to real economic growth. Augmented Dickey Fuller unit root test was employed to evaluate the stationarity of the data, while Johansen Co-integration was used to estimate the long-run equilibrium relationship among the variables. The casual relationship was tested using Granger Causality, and Ordinary Least Square method was used to estimate the model. The findings reveals that capital inflows have significant impact on the economic growth of the three countries. In Nigeria and Ghana, foreign direct and portfolio investment as well as foreign borrowings have significant and positive impact on economic growth. Workers’ remittances significantly and positively related to the economic growth of the three countries. The enabling environment should be created in the developing countries to encourage more inflow of foreign investments and workers remittances. This will help in closing the savings-investment gap and encourage economic growth in these countries. The study signifies that capital inflows is indispensable in closing the savings-investment gap required for economic growth of developing countries.


2020 ◽  
Vol 9 (4) ◽  
pp. 233-244
Author(s):  
MUHAMMAD AWAIS ANWAR ◽  
NOMAN ARSHED ◽  
MUHAMMAD IBRAHIM SAEED

The main objective of the study is to empirically examine the relationship between domestic terrorism, investment and economic growth. The study finds the implication of domestic terrorism on investment and growth among 26 Muslim and 14 Christian developing countries. Data regarding the incidence of terrorism are obtained from Global Terrorism Database (2015). While, economic data are obtained from World Development Indicators (WDI, 2015). The data on external and internal conflict have been extracted from Global Conflict Risk Index (GCRI, 2015) for the time period 1990-2015. Ordinary least square (OLS), feasible generalized least squares (FGLS) and system generalized method of moment (SGMM) approaches were applied to ensure robust results with different specification of models by using dummy variable. The value of Dummy variable is 1, if country is Muslim otherwise 0. For all specifications, it is confirmed that increase in domestic terrorism will decrease the level of investment directly, but the percentage decrease in investment due to terrorism is high among Muslim as compared to Christian developing economies. The results indicate the public policy efforts to mitigate the loss of private investment which can be done initially by public investments to ensure public safety. Keywords: OLS, FGLS, SGMM, Domestic Terrorism, Muslim and Christian Developing Countries.


2020 ◽  
Vol 8 (1) ◽  
pp. 519-540
Author(s):  
Fatih AYHAN ◽  
Feyza BALAN ◽  
Yüksel Akay UNVAN

Globalization is increasing since the mid-1990s. Along with the globalization, increased international trade caused the foreign direct investment (FDI) inflows for economies. Economists often emphasize that FDI contributes developing countries to confront the international competition by boosting their economy, increasing productivity and export capacity. This paper aims to investigate the factors that affect the FDI flows towards the Fragile Five countries (Turkey, Brazil, India, Indonesia, South Africa) for 1994-2017 through panel data analysis. The results from the panel ordinary least square indicate that political freedom as a proxy variable of institutional quality, real exchange rate, and the degree of productive knowledge and capability of the Fragile Five countries are statistically significant determinants of FDI attraction. Thus, developing countries, aiming to increase FDI inflows have to strengthen their political conditions and stabilization of their exchange rates. As well as, it is important to increase these countries’ export shares of the more complex product in order to be able to attract more FDI.


2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.


Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Seun Damola Oladipupo ◽  
Ephraim Bonah Agyekum ◽  
Arunkumar Jayakumar ◽  
...  

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.


Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.


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