scholarly journals Does Foreign Direct Investment Affect Tropospheric SO2 Emissions? A Spatial Analysis in Eastern China from 2011 to 2017

2020 ◽  
Vol 12 (7) ◽  
pp. 2878 ◽  
Author(s):  
Yuxiang Yan ◽  
Wusheng Hu

Air pollution has attracted much attention worldwide. Sulfur dioxide (SO 2 ) is a major air pollutant in cities and affects human health seriously. The purpose of this paper is to examine how foreign direct investment affects SO 2 emissions and whether the pollution haven hypothesis exists in eastern China. On basis of the detailed data, we performed the spatial autocorrelation analysis and the spatial regression analysis. The results show that an increase in the foreign direct investment in a city is associated with a decline in SO 2 emissions in the same city, indicating that the pollution haven hypothesis does not hold in eastern China. But the spillover effect of the foreign direct investment is positive, indicating that a larger foreign direct investment in neighboring cities tends to raise SO 2 emissions in the local city.

2009 ◽  
Vol 9 (1) ◽  
pp. 1850154 ◽  
Author(s):  
Raymond MacDermott

This paper tests the pollution-haven hypothesis. A fixed-effects variation of the gravity model is applied to panel data to investigate what relationship, if any, exists between environmental regulations and FDI. The data set focuses on bilateral flows of aggregated foreign direct investment between 26 OECD countries from 1982 to 1997. Use of pollution emissions as a proxy for environmental stringency shows evidence in support of the pollution-haven hypothesis. In other words, firms do seek out countries with weaker environmental regulations for production. In addition, FDI appears to fall with distance. Contrary to expectations, FDI is not influenced by interest rates, wages or GDP.


2020 ◽  
Vol 12 (6) ◽  
pp. 2528 ◽  
Author(s):  
Yuqing Ge ◽  
Yucai Hu ◽  
Shenggang Ren

This paper investigates environmental regulation and its impact on inward foreign direct investment (FDI) in developing countries. Based on the Chinese province-industry-level panel data in the period 2001 to 2015, we use a difference-in-difference-in-differences (DDD) model to evaluate pollution haven behavior in the context of China’s 11th and 12th Five-Year Plans SO2 emissions reduction policy. The results show that the policy leads to fewer FDI inflows to its highly-polluting industries in provinces with tougher pollution reduction targets. In addition, the environmental policy has significantly inhibited FDI inflows in provinces with stricter environmental enforcement, while investment in provinces with worse environmental enforcement is insensitive to environmental policy. These findings are consistent with pollution haven behavior. In contrast, FDI in industries with high levels of technology is not significantly influenced by the policy, whereas the FDI in industries with low levels of technology shows a negative response to environmental policy. This is overall evidence confirming a pollution haven effect (PHE), although technology differences could alleviate the negative effects of environmental regulation on inward FDI.


2014 ◽  
Vol 20 (2) ◽  
pp. 185-208 ◽  
Author(s):  
Alief A. Rezza

AbstractPrevious authors have been unable to agree on whether environmental regulations hinder foreign direct investment (FDI). The empirical evidence in this domain remains inconclusive because of the contrasting results observed in the literature, owing to the differing characteristics of the data sets and models used in previous studies. The present study carries out a meta-analysis on a sample of published and unpublished papers on the so-called pollution haven hypothesis (PHH) in order to investigate whether certain aspects of research design affect the presented findings. The paper offers explanations for the mixed findings reported in the literature by suggesting that certain aspects of research design are crucial to explaining their significance. The PHH is more likely to be supported by studies that define FDI as the establishment of new plants and those that use government spending as a proxy for the strictness of environmental regulations. Moreover, focusing investigations on pollution-intensive industries or developing countries hardly increases the likelihood of achieving results that support the PHH.


2018 ◽  
Vol 35 (1) ◽  
pp. 81-107 ◽  
Author(s):  
Vinish Kathuria

This paper attempts to examine the role of environmental governance on foreign direct investment by testing the pollution haven hypothesis for 21 Indian states for the period 2002–2010. To test for the hypothesis, this study computes an abatement expenditure index adjusted for industrial composition at the state level using Annual Survey of Industries plant-level data. The methodology used is based on that proposed by Levinson ( 2001 ). The index compares actual pollution abatement expenditures in a particular state, unadjusted for industrial composition, to predicted abatement expenditures in the same state. (The predictions are based on nationwide abatement expenditures by industry and each state's industrial composition.) If the adjusted index is low for a state, it implies that the state has poor environmental governance, which would be expected to induce foreign firms to invest. However, the results do not find any evidence of the pollution haven hypothesis in the Indian context. Other infrastructure and market-access-related variables are more important in influencing a foreign firm's investment decisions than environmental stringency.


Author(s):  
Oguzhan Aydemir ◽  
Feyyaz Zeren

In the literature, the impact of Foreign Direct Investment (FDI) on carbon dioxide (CO2) emissions is explained by two different hypotheses: Pollution Halo and Pollution Haven Hypothesis. While Pollution Halo hypothesis states that FDI provides advanced technology to countries and accordingly decreases CO2 emissions, Pollution Haven Hypothesis indicates that there is a positive relationship between FDI and CO2. In this regard, in this study, the impact of FDI on CO2 emissions in the selected 10 of G-20 countries in the period of 1970-2010 is investigated by using panel data analysis. The empirical findings show that panels have cross-section dependence and these two panels are stationary in different levels. Moreover, the existence of long term relationship between panels is found by using Durbin Hausmann panel cointegration test. The results of the study also show that while Pollution Halo Hypothesis is valid for USA, France and Argentina, Pollution Haven Hypothesis is valid for UK, Canada, Australia, South Africa, Italy, Mexico and Saudi Arabia.


Author(s):  
Shofwan Shofwan ◽  
Michelle Fong

This paper investigates the validity of the pollution haven hypothesis in the context of Foreign Direct Investment (FDI) in Indonesia by determining the correlations between carbon emission and foreign direct investment, gross domestic product, and population size between 1975 and 2009 in that country. Statistical results from Spearman‟s correlation analysis show that CO2 emission has a statistically significant negative relationship with real Gross Domestic Product (GDP), and a statistically significant positive relationship with population size in the Indonesian economy between 1975 and 2009. However, there is a weak and insignificant relationship between CO2 emission and real FDI during this period which indicates weak support for the pollution haven hypothesis because FDI does not appear to be as strong a contributing factor to CO2 emission as the activities of the population in Indonesia.


2017 ◽  
Vol 24 (7) ◽  
pp. 1937-1955 ◽  
Author(s):  
Nitin Arora ◽  
Preeti Lohani

Purpose Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry. Design/methodology/approach This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function. Findings The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry. Research limitations/implications The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework. Practical implications Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy. Social implications In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws. Originality/value The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.


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