Has China-ASEAN Trade opening increased China’ s carbon emissions?

This study uses carbon emission data at the provincial level in China between 1998-2018 and the proportion of the total import and export trade between provinces and the Association of Southeast Asian Nations(ASEAN)in GDP to measure the level of China-ASEAN trade openness.It examines the impact of China ASEAN trade openness on carbon emissions and its transmission mechanism,and selects the RMB/USD exchange rate as an instrumental variable to address the endogeneity of China-ASEAN trade openness variables.The impact of China-ASEAN trade openness on China’s environment is estimated within a two-stage least squares framework.The results show that trade openness between China and ASEAN positively impacts China’s environment and can facilitate carbon emission reduction.The scale,structural,and technology effects brought by China-ASEAN trade liberalization jointly promote China’s carbon dioxide emission reduction.An inverted“U”relationship is found between economic growth and environmental quality in China,and some provinces and municipalities have now crossed the inflection point of the curve,in which carbon emi ssions decrease with an increase in per capita wealth.

Research on Fossil Fuel Related Carbon Emissions Reduction Scheme Effects

There is a worldwide consensus that excessive anthropogenic carbon dioxide emissions will lead to global warming and other environmental problems.Supports from regulations and policies have gradually implemented in this area.As one of the most discussed policies,the carbon emissions trading schemes(CETS)has an advantage in its price-oriented and cost-saving characteristics.In this paper,we analyze and assess the CETS effect from static and dynamic perspectives by applying provincial panel data covering a period ranging from 2004 to 2017.The CETS policy has a significant constraining effect on both carbon emissions and primary energy consumption.Compared to the other two uncertainties,namely the energy price uncertainty and the technology uncertainty,the carbon permit price uncertainty has a relatively smooth impact on the economy,which is being pursued consistently by the policymakers.

Nexus between selected macroeconomic variables and carbon emission in Kenya

Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.

Regional Distribution and Pollution of Energy-lntensive Industries in China

This paper investigates the regional distribution and pollution of energyintensive industries in China. Through the analysis of provincial panel data collected during 1998-2008, this work estimates the drivers of pollution in 30 of China＇s provincial-level divisions. The paper concludes that while China＇s energy-intensive industries are heavily distributed in eastern and central China, the speed of development toward central and western China has, in recent years, risen continuously. Industries located in eastern China do, however, remain the primary polluters in the country. Notably, regional agglomeration of energy-intensive industries plays a positive role in energy conservation and pollution control in China. This paper also finds that patterns of pollution in China follow the environmental Kuznets curve （EKC） with strong inter-provincial discrepancies.

Nexus between CO2 Emissions and Economic Growth, Industrial Production, and Foreign Direct Investment in Vietnam: Symmetric ARDL Approach

Vietnam’s economy has been developing strongly in recent years;however, it is necessary to examine the impact of its economic activities on environmental quality. This study aims to evaluate the relationship between CO2 emissions and economic growth, industrial production, and foreign direct investment (FDI) in Vietnam. The ARDL estimation was used to process the dataset from World Bank. Results showed that economic growth, industrial production, and FDI have an impact on CO2 emissions in the long run in Vietnam. Granger Causality test also indicated that there is a causal relationship between economic growth, industrial production, and CO2 emissions in Vietnam from 1990 to 2018, at 5% statistical significance level. Proposed solutions to reduce CO2 emissions but still promote economic growth toward the green growth orientation and zero carbon target attainment are as follows: 1) reduce the use of fossil energy in industrial manufacturing and replace it by renewable energy sources;2) use modern technology for all production sectors in economy;and 3) develop a legal framework for FDI projects selection and choose foreign investors with modern and low carbon emission technology.

Analysis of the Driving Factors of Carbon Emissions and Countermeasures for Carbon Emission Reduction in Hebei Province

In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province.The results lead to three main conclusions.Firstly,carbon emissions and economic growth in Hebei Province are in a positive correlation stage which has not formed the EKC curve,and the“decoupling”stage between carbon emissions and economic growth has not arrived yet.Secondly,the industrial structure,per capita GDP,fixed assets investment,population size and urbanization rate account for the highest proportion of carbon emissions.Carbon emissions can be reduced greatly by changing the energy structure,in which the proportion of coal is decreased year by year.Environmental regulation also has an obvious effect on the reduction of carbon emissions.Thirdly,it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks:controlling the development of heavy industry,avoiding overcapacity,optimizing the industrial structure and accelerating the development of clean energy.