pollution haven
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2022 ◽  
Author(s):  
Arshad Ali ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre Lorente ◽  
Viet-Ngu (Vincent) Hoang

Abstract This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a long-term equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG and MG estimators indicate that both clean and non-clean energy consumption have a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission, however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies.


Author(s):  
Ritu Rana ◽  
Manoj Sharma ◽  
Ajay Singh

This chapter extends the authors' previous research work in which an examination of causality was conducted between foreign direct investment (FDI), economic growth (GDP), and the environment (CO2 emissions and energy consumption [EC]) in the Indian context. Two more important variables (i.e., trade openness and technology gap) were also added. The chapter further examines the effects of information and communication technology (ICT) trade on both GDP and the environment of India. The results of previous model show that FDI is neither causing GDP nor is it bridging the technology gap. The results also indicate the existence of pollution haven hypothesis (PHH) in India as FDI is causing both CO2 and EC. Also, FDI is, though not causing the GDP directly, doing so indirectly through CO2 validating the existence of PHH. FDI is causing trade openness in India, but that openness is again causing more FDI, which is doing no good for India. The results of ICT trade model indicate that both GDP and ICT exports cause CO2 in India. Also, both the GDP and ICT exports are consuming energy in India.


2021 ◽  
Vol 9 ◽  
Author(s):  
Chenghui Tang ◽  
Jianmin Dou

The spatial transfer pattern and dynamic mechanisms of pollution-intensive industries are key issues for national and regional sustainable development. Although previous studies have emphasized the impact of environmental regulations on the transfer of pollution industries, there is a lack of firm-level analysis of the combined effects of different types of environmental regulations and other factors on them, which has led to the pollution haven hypothesis remaining contested. In order to provide micro evidence to test the pollution haven hypothesis, this paper reveals the temporal and spatial evolution of pollution-intensive foreign firms’ distribution in China, and explores the impact of heterogeneous environmental regulations on the location choices by using spatial analysis and zero-inflated negative binomial regression. The empirical results were as follows: Firstly, pollution-intensive foreign firms were highly concentrated in the eastern developed region and have a strong path dependency in China. Secondly, environmental regulations, especially the market-based environmental regulation, had a significant negative impact on the location choices of pollution-intensive foreign firms. Thirdly, the spatial distribution of pollution-intensive foreign firms was strongly influenced by new economic and geographic factors. Fourthly, pollution-intensive foreign firms have a significant pollution border effects in developed regions but not in economically less-developed regions due to transportation costs. The governments are expected to adopt heterogeneous environmental regulations based on the level of regional economic development to avoid the pollution haven phenomenon, thus achieving a sustainable development.


2021 ◽  
Vol 36 (4) ◽  
pp. 549-606
Author(s):  
Dhimitri Qirjo ◽  
Razvan Pascalau ◽  
Robert Christopherson

We empirically investigate the effect of the <i>Transatlantic Trade and Investment Partnership</i> on the per capita emissions of eight air pollutants and municipal waste. By introducing the same explanatory variables and applying the same empirical strategy and methodologies as in Qirjo and Pascalau (2019), we provide robust evidence suggesting that the implementation of the partnership could be beneficial to the environment because it may reduce per capita emissions of CH<sub>4</sub>, hydrofluorocarbons/ perfluorinated chemicals/ SF<sub>6</sub>, N<sub>2</sub>O, NH<sub>3</sub>, and SF<sub>6</sub> for a typical partnership member. This result is based on statistically significant evidence showing that, on average, the pollution haven motive based on national per capita income variations is dominated by the factor endowment argument based on the Heckscher-Ohlin trade theory and the pollution haven motive originating from an inverse measurement of national population density differences. However, we also report statistically significant evidence that the implementation of the partnership could denigrate the environment by increasing per capita emissions of SO<sub>2</sub> and municipal waste.


2021 ◽  
Vol 13 (22) ◽  
pp. 12651
Author(s):  
Wilman-Santiago Ochoa-Moreno ◽  
Byron Alejandro Quito ◽  
Carlos Andrés Moreno-Hurtado

In this study we aim to test the effects of foreign direct investment (FDI) on carbon emissions (CO2) in 20 Latin American countries during the period of 1990–2018. Based on the atlas method of the World Bank, we divided the countries into three groups according to their real gross national income per capita: high-income, upper-middle-income and lower-middle-income countries. We used cointegration techniques and causality tests to evaluate the relationship between the variables. To assess the strength of the cointegration vector, we applied the dynamic ordinary least squares (DOLSs) model for individual countries and the dynamic panel ordinary least squares (PDOLSs) model for groups of countries. The results suggest that the entry of FDI into Latin American (LA) countries increases CO2 emissions, affecting the environmental quality. These findings disagree with the environmental Kuznets curve (EKC) hypothesis but, in contrast, they are in line with the pollution haven hypothesis (PHH). Moreover, we show evidence in long-term equilibrium relationship between FDI input and CO2 emissions, which is not the case for the short-term equilibrium. Some additional results suggest that FDI flows do not cause the CO2 emissions in LA countries. The empirical findings suggest policymakers to design policies to “the second-best theory”, targeting FDI flows to their economies to solve economic problems in the short term, but thereafter they may guarantee the reduction in environmental pollution, based on environmentally responsible FDI and stronger regulations. In other words, the transition from a pollution haven to the applicability of the environmental Kuznets curve (EKC). This study contributes with scarce empirical evidence for LA countries in this issue.


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