An Analysis of the Impact of Clean and Non-clean Energy Consumption on Economic Growth and Carbon Emission: Evidence from PIMC Countries

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.

The Impact of Heterogeneous Environmental Regulations on Location Choices of Pollution-Intensive Firms in China

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.

Investigating the existence of asymmetric Environment Kuznets Curve and Pollution-Haven Hypothesis in China: Fresh evidence from QARDL and Quantile Granger Causality

This study aims to analyze the asymmetric long-run relationship between economic growth (EG), Foreign Direct Investment (FDI) and carbon emissions (CO2) within the context of the Environment Kuznets curve (EKC) and the pollution haven hypothesis (PHH) in China. Employing the quarterly data from 1982Q1 to 2018Q4, we have used novel techniques to meet the stated objectives of our study, named Quantile ARDL and quantile Granger causality. The significant implication of this method is that it provides locational asymmetry. We find strong evidence of the EKC and PHH for China based on the empirical results of linear and nonlinear ARDL models. Similarly, findings of quantile Granger causality validate the bidirectional relationship among all variables in upper and lower quantiles. Moreover, the results of the Wald test confirm the asymmetric long-run relationship between FDI and carbon emissions (CO2). This study will be conducive for the policymakers to combat environmental contamination concerning economic growth and FDI inflow in China.