scholarly journals Capital Movements and Environmental Harms

2011 ◽  
pp. 482-497 ◽  
Author(s):  
Christopher Dick ◽  
Andrew K. Jorgenson

The authors engage appropriate macrosociological theorization and employ quantitative comparative methods to assess the extent to which various forms of environmental degradation in less-developed countries are tied to inward foreign direct investment in the primary and secondary sectors. Analyzed outcomes include carbon dioxide emissions, industrial organic water pollution, and deforestation. Such forms of environmental harms are known to partially shape migration processes as well as other social dynamics. Results of longitudinal analyses indicate that all three forms of environmental degradation are positively associated with sector-level inward foreign direct investment, which provides broad support for the engaged theoretical orientation.

Author(s):  
João Bento ◽  
Miguel Torres ◽  
Paolo Maranzano

This chapter analyzes whether US outward foreign direct investment contributes to mitigating environmental degradation in host countries or not. This relationship is investigated within the environmental Kuznets curve framework, using dynamic panel data models which include trade openness and environmental regulation as controlling variables. The results lend support to the existence of an environmental Kuznets curve hypothesis. Moreover, the results indicate that capital expenditures from majority-owned foreign affiliates of US multinationals decrease carbon dioxide emissions per capita and provide support for the pollution halo hypothesis. The findings suggest that foreign direct investments carried out by firms with their headquarters based in the United States of America enhance the natural environment. These findings offer some support for host government policies offering generous financial incentives to attract environmentally friendly investments to improve environmental sustainability.


2014 ◽  
Vol 05 (03) ◽  
pp. 1440009
Author(s):  
Sasatra Sudsawasd ◽  
Santi Chaisrisawatsuk

Using panel data for 57 countries over the period of 1995–2012, this paper investigates the impact of intellectual property rights (IPR) processes on productivity growth. The IPR processes are decomposed into three stages — innovation process, commercialization process, and protection process. The paper finds that better IPR protection is directly associated with productivity improvements only in developed economies. In addition, the contribution of IPR processes on growth through foreign direct investment (FDI) appears to be quite limited. Only inward FDI in developed countries which creates better innovative capability leads to higher growth. In connection with outward FDI, only the increase in IPR protection and commercialization are proven to improve productivity in the case of developing countries, particularly when the country acts as the investing country.


2016 ◽  
Vol 16 (3) ◽  
pp. 245-267 ◽  
Author(s):  
Oleg Mariev ◽  
Igor Drapkin ◽  
Kristina Chukavina

Abstract The aim of this paper is twofold. First, it is to answer the question of whether Russia is successful in attracting foreign direct investment (FDI). Second, it is to identify partner countries that “overinvest” and “underinvest” in the Russian economy. We do this by calculating potential FDI inflows to Russia and comparing them with actual values. This research is associated with the empirical estimation of factors explaining FDI flows between countries. The methodological foundation used for the research is the gravity model of foreign direct investment. In discussing the pros and cons of different econometric methods of the estimation gravity equation, we conclude that the Poisson pseudo maximum likelihood method with instrumental variables (IV PPML) is one of the best options in our case. Using a database covering about 70% of FDI flows for the period of 2001-2011, we discover the following factors that explain the variance of bilateral FDI flows in the world economy: GDP value of investing country, GDP value of recipient country, distance between countries, remoteness of investor country, remoteness of recipient country, level of institutions development in host country, wage level in host country, membership of two countries in a regional economic union, common official language, common border and colonial relationships between countries in the past. The potential values of FDI inflows are calculated using coefficients of regressors from the econometric model. We discover that the Russian economy performs very well in attracting FDI: the actual FDI inflows exceed potential values by 1.72 times. Large developed countries (France, Germany, UK, Italy) overinvest in the Russian economy, while smaller and less developed countries (Czech Republic, Belarus, Denmark, Ukraine) underinvest in Russia. Countries of Southeast Asia (China, South Korea, Japan) also underinvest in the Russian economy.


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