Linking international trade and foreign direct investment to CO2 emissions: Any differences between developed and developing countries?

2020 ◽  
Vol 712 ◽  
pp. 136437 ◽  
Author(s):  
Obed Kwame Essandoh ◽  
Moinul Islam ◽  
Makoto Kakinaka
2018 ◽  
Vol 6 (4) ◽  
pp. 86 ◽  
Author(s):  
Rashid Latief ◽  
Lin Lefen

The “One Belt and One Road” (OBOR) project was started by the Chinese government with the aim of achieving sustainable economic development and increasing cooperation with other countries. This project has five major objectives, which include (i) increasing trade flow, (ii) encouraging policy coordination, (iii) improving connectivity, (iv) obtaining financial integration, and (v) fortifying closeness between people. This paper aims to analyze the effect of exchange rate volatility on international trade and foreign direct investment (FDI) in developing countries along “One Belt and One Road”. We selected seven developing countries which are part of this project, namely Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. We collected panel data for the period 1995 to 2016 from the U.S. Heritage Foundation, International Financial Statistics (IFS) (a database developed by the International Monetary Fund), and World Development Indicators (WDI) (a database developed by the World Bank). We applied Generalized Autoregressive Conditional Heteroscedasticity (GARCH) (1,1) and threshold-Generalized Autoregressive Conditional Heteroscedasticity (TGARCH) (1,1) models to measure the exchange rate volatility. Furthermore, we employed a fixed effect model to analyze the relationship of exchange rate volatility with international trade and FDI. The results of this paper revealed that exchange rate volatility affects both international trade and FDI significantly but negatively in OBOR-related countries, which correlates with the economic theory arguing that exchange rate volatility may hurt international trade and FDI. It can be concluded that exchange rate volatility can adversely affect international trade and FDI inflows in OBOR-related countries.


Author(s):  
Simran K. Kahai

This paper extends previous studies on the determinants of Foreign Direct Investment (FDI) by looking at both traditional and non-traditional factors that influence the amount of FDI flowing to developing countries. Emphasis is placed on the role of non-traditional qualitative factors. Data from 1998 and 2000 for fifty-five developing countries are employed to estimate an empirical model of FDI. Results indicate that FDI is significantly affected by several qualitative factors such as the level of economic freedom, level of corruption, and the level of international trade regulations adopted in the host country. These findings support the need for increased considera- tion of cultural and institutional factors in attempting to better estimate and understand the devel- opment process.


2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.


2014 ◽  
Vol 41 (1) ◽  
pp. 60-75
Author(s):  
Tomasz M. Napiórkowski

Abstract The aim of this research is to asses the hypothesis that foreign direct investment (FDI) and international trade have had a positive impact on innovation in one of the most significant economies in the world, the United States (U.S.). To do so, the author used annual data from 1995 to 2010 to build a set of econometric models. In each model, 11 in total) the number of patent applications by U.S. residents is regressed on inward FDI stock, exports and imports of the economy as a collective, and in each of the 10 SITC groups separately. Although the topic of FDI is widely covered in the literature, there are still disagreements when it comes to the impact of foreign direct investment on the host economy [McGrattan, 2011]. To partially address this gap, this research approaches the host economy not only as an aggregate, but also as a sum of its components (i.e., SITC groups), which to the knowledge of this author has not yet been done on the innovation-FDI-trade plane, especially for the U.S. Unfortunately, the study suffers from the lack of available data. For example, the number of patents and other used variables is reported in the aggregate and not for each SITC groups (e.g., trade). As a result, our conclusions regarding exports and imports in a specific SITC category (and the total) impact innovation in the U.S. is reported in the aggregate. General notions found in the literature are first shown and discussed. Second, the dynamics of innovation, trade and inward FDI stock in the U.S. are presented. Third, the main portion of the work, i.e. the econometric study, takes place, leading to several policy applications and conclusions.


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