Based on data of trade, foreign directinvestment (FDI), economic development andenvironmental conditions in China’s 30 provincesbetween 1990-2002, this paper deals with the impacton Environmental Kuznets Curve (EKC) ...Based on data of trade, foreign directinvestment (FDI), economic development andenvironmental conditions in China’s 30 provincesbetween 1990-2002, this paper deals with the impacton Environmental Kuznets Curve (EKC) of tradeand FDI in China. The results show no direct impacton EKC of trade, on the one hand. However, tradecontributes significantly to economic growth, andhas played a positive role in introducing advancedpollution prevention technology and environmentalmanagement methodology to China. Therefore, aproactive trade policy will help solve the environmentalpollution problem brought by economic growth. Onthe other hand, there is a positive correlation betweenFDI and pollutant emission, which proves that FDIdoes have some negative influence on environmentin China due to hasty introduction of foreign capitaland inadequate environmental management systemin China.展开更多
This paper aims to the debate on the nexus between informal economies and the environment by investigating the long-term dynamic impacts of China’s informal economies on pollution and considering regional differences...This paper aims to the debate on the nexus between informal economies and the environment by investigating the long-term dynamic impacts of China’s informal economies on pollution and considering regional differences in informal economies’ pollution.This paper uses the Multiple Indicators Multiple Causes(MIMIC) model to estimate the size of informal economies and employs econometric models to examine their relationships to pollution based on provincial-level panel data from 2000 to 2017. The results indicate that informal economies’ effects on environmental pollution are not purely positive or negative. Rather, our model indicates that there is an inverted U-shaped relationship between informal economies and pollution in the long run in China;this means that the level of environmental pollution increases at first and then decreases with the growth of informal economies. Further analysis shows that while this inverted, U-shaped relationship is significant in different regions of China, it is affected by different environmental impact factors. The paper concludes by discussing the policy implications for environmental protection and sustainable development.展开更多
With the rapid development of the economy,China’s environment has been damaged severely,which has attracted much attention from scholars and the local government.The concept of green development has been an underlyin...With the rapid development of the economy,China’s environment has been damaged severely,which has attracted much attention from scholars and the local government.The concept of green development has been an underlying trend since 2012,and it is of great significance to explore the relationship between economic growth and environmental quality.Huzhou is a prefecture-level city under the jurisdiction of Zhejiang Province,and it is one of the 27 cities in the central area of the Yangtze River Delta.In recent years,this city develops well not only in economic development but also in maintaining a green environment.In the paper,the back propagation neural network is used to evaluate the local environmental quality.Meanwhile,the panel model is exploited to analyze the relationship between economic growth and environmental quality.All the data presented in the paper range from the year 2008 to 2018.Theoretical analysis indicates that the evaluation value of environmental quality,the emissions of industrial SO2,and waste water exhibit an inverted U-shaped relationship with economic growth.As for the regression results,the inflection point of income in the environmental Kuznets curve of the model which takes the evaluation value of the environmental quality as a dependent variable is higher than that of the model which takes the SO2 emission as an independent variable.The research result would help the local government to take appropriate countermeasures to improve the environment and economy.展开更多
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...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.展开更多
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 ...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 CO<sub>2</sub> 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 CO<sub>2</sub> emissions in the long run in Vietnam. Granger Causality test also indicated that there is a causal relationship between economic growth, industrial production, and CO<sub>2</sub> emissions in Vietnam from 1990 to 2018, at 5% statistical significance level. Proposed solutions to reduce CO<sub>2</sub> 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.展开更多
Ambient air quality is an important part of the ecological environment.Based on panel data from 192 countries for the period 2010–2016,our study applies spatial geography elements in a spatial panel model to analyze ...Ambient air quality is an important part of the ecological environment.Based on panel data from 192 countries for the period 2010–2016,our study applies spatial geography elements in a spatial panel model to analyze whether PM_(2.5)harms residents'health.We find a positive correlation between PM_(2.5)concentration and the prevalence of tuberculosis.Empirical testing shows that if residents live in environments with high PM_(2.5)concentrations for an extended period,it increases their probability of contracting tuberculosis.PM_(2.5)concentration and economic growth have an environmental Kuznets curve(EKC)relationship.Furthermore,PM_(2.5)concentration and prevalence of tuberculosis in different countries have a positive spatial correlation during the study period.The values of PM_(2.5)concentration in adjacent areas are similar,because PM_(2.5)can cross borders through airflow and as economic development levels in adjacent regions are similar.When regulating haze pollution,we should adopt regional joint governance,consider the specific characteristics of different regions,and coordinate these regulations with environmental protection policies to realize the goal of“lucid waters and lush mountains.”展开更多
The article selects the panel data of 289 prefecture-level and above cities in China from 2003 to 2017, establishes simultaneous equations and uses the 3 SLS estimation method to study the relationship between air pol...The article selects the panel data of 289 prefecture-level and above cities in China from 2003 to 2017, establishes simultaneous equations and uses the 3 SLS estimation method to study the relationship between air pollution and economic growth. On the whole, industrial sulfur dioxide and soot emissions have an inverted U-shaped relationship with per capita GDP, and the increase in sulfur dioxide emissions has played a significant role in hindering economic growth. From a regional perspective, the sulfur dioxide emissions in the eastern and western regions conform to the environmental Kuznets curve, and the per capita GDP at the turning point in the western region is significantly lower than the overall national level. The smoke and dust emissions in the eastern, central and western regions all conform to the environmental Kuznets curve, while the per capita GDP at the turning point in the western region is significantly lower than that in the eastern and central regions. In the eastern region, both sulfur dioxide and smoke and dust emissions significantly hinder economic growth,and this hindrance is mainly caused by the spatial transfer of labor. Through further analysis, it is found that environmental regulations can significantly suppress the negative impact of air pollution on economic growth. Finally, the article puts forward some suggestions, such as environmental governance according to local conditions and strengthening environmental regulations.展开更多
The spatial disparity of air pollutants is one of the key influential factors for environmental inequality.We quantitatively evaluated the evolution of PM_(2.5)spatial disparity in China during 2013–2020,and investig...The spatial disparity of air pollutants is one of the key influential factors for environmental inequality.We quantitatively evaluated the evolution of PM_(2.5)spatial disparity in China during 2013–2020,and investigated the associations between PM_(2.5)spatial disparity and economic indicators.Differences in PM_(2.5)between more-and less-polluted cities declined over time,suggesting decreased absolute disparity.However,the more polluted cities in 2013 remained so in 2017 and 2020,and vice versa,indicating persistent relative disparity.PM_(2.5)pollution levels increased with higher GDP per capita in less-developed areas of China,but such negative effects weakened over time,while economic development tended to promote cleaner air in developed areas of China.Therefore,policies to improve air quality and promote economic development simultaneously are needed in China to reduce the disparity of air pollution and promote all people to enjoy environmental equality.展开更多
文摘Based on data of trade, foreign directinvestment (FDI), economic development andenvironmental conditions in China’s 30 provincesbetween 1990-2002, this paper deals with the impacton Environmental Kuznets Curve (EKC) of tradeand FDI in China. The results show no direct impacton EKC of trade, on the one hand. However, tradecontributes significantly to economic growth, andhas played a positive role in introducing advancedpollution prevention technology and environmentalmanagement methodology to China. Therefore, aproactive trade policy will help solve the environmentalpollution problem brought by economic growth. Onthe other hand, there is a positive correlation betweenFDI and pollutant emission, which proves that FDIdoes have some negative influence on environmentin China due to hasty introduction of foreign capitaland inadequate environmental management systemin China.
基金Under the auspices of the National Natural Science Foundation of China(No.41930646,41771137)the Guangdong Academy of Sciences(GDAS)Project of Science and Technology Development(No.2019GDASYL-0104004)Fundamental Research Funds for the Central Universities(No.20lgpy31)。
文摘This paper aims to the debate on the nexus between informal economies and the environment by investigating the long-term dynamic impacts of China’s informal economies on pollution and considering regional differences in informal economies’ pollution.This paper uses the Multiple Indicators Multiple Causes(MIMIC) model to estimate the size of informal economies and employs econometric models to examine their relationships to pollution based on provincial-level panel data from 2000 to 2017. The results indicate that informal economies’ effects on environmental pollution are not purely positive or negative. Rather, our model indicates that there is an inverted U-shaped relationship between informal economies and pollution in the long run in China;this means that the level of environmental pollution increases at first and then decreases with the growth of informal economies. Further analysis shows that while this inverted, U-shaped relationship is significant in different regions of China, it is affected by different environmental impact factors. The paper concludes by discussing the policy implications for environmental protection and sustainable development.
基金This work is supported by the project of Philosophy and Social Science Planning in Huzhou city(No.20hzghy079)Na Li received the grant,and the URL to the sponsor’s website is http://www.hzskw.net/.This work is supported by the project of School-enterprise Cooperation of Visiting engineers in Colleges and Universities in Zhejiang(No.FG 2020164)+1 种基金Baiqing Zhou received the grant,and the URL to sponsor’s websites is http://szpx.zjnu.edu.cn/2020/1225%20/c2150a342005/page.psp.This work is also supported by the project of the soft science research program of Zhejiang(No.2021C35007)Duan Lu received the grant,and the URL to the sponsor’s website is http://kjt.zj.gov.cn/art/2020/11/30/.
文摘With the rapid development of the economy,China’s environment has been damaged severely,which has attracted much attention from scholars and the local government.The concept of green development has been an underlying trend since 2012,and it is of great significance to explore the relationship between economic growth and environmental quality.Huzhou is a prefecture-level city under the jurisdiction of Zhejiang Province,and it is one of the 27 cities in the central area of the Yangtze River Delta.In recent years,this city develops well not only in economic development but also in maintaining a green environment.In the paper,the back propagation neural network is used to evaluate the local environmental quality.Meanwhile,the panel model is exploited to analyze the relationship between economic growth and environmental quality.All the data presented in the paper range from the year 2008 to 2018.Theoretical analysis indicates that the evaluation value of environmental quality,the emissions of industrial SO2,and waste water exhibit an inverted U-shaped relationship with economic growth.As for the regression results,the inflection point of income in the environmental Kuznets curve of the model which takes the evaluation value of the environmental quality as a dependent variable is higher than that of the model which takes the SO2 emission as an independent variable.The research result would help the local government to take appropriate countermeasures to improve the environment and economy.
文摘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.
文摘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 CO<sub>2</sub> 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 CO<sub>2</sub> emissions in the long run in Vietnam. Granger Causality test also indicated that there is a causal relationship between economic growth, industrial production, and CO<sub>2</sub> emissions in Vietnam from 1990 to 2018, at 5% statistical significance level. Proposed solutions to reduce CO<sub>2</sub> 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.
基金supported by the Fujian Provincial Social Science Foundation of China“Study on Social Welfare Measurement and Effective Mechanism of Land Finance in Fujian Province”[Grant number:.FJ2018C042].
文摘Ambient air quality is an important part of the ecological environment.Based on panel data from 192 countries for the period 2010–2016,our study applies spatial geography elements in a spatial panel model to analyze whether PM_(2.5)harms residents'health.We find a positive correlation between PM_(2.5)concentration and the prevalence of tuberculosis.Empirical testing shows that if residents live in environments with high PM_(2.5)concentrations for an extended period,it increases their probability of contracting tuberculosis.PM_(2.5)concentration and economic growth have an environmental Kuznets curve(EKC)relationship.Furthermore,PM_(2.5)concentration and prevalence of tuberculosis in different countries have a positive spatial correlation during the study period.The values of PM_(2.5)concentration in adjacent areas are similar,because PM_(2.5)can cross borders through airflow and as economic development levels in adjacent regions are similar.When regulating haze pollution,we should adopt regional joint governance,consider the specific characteristics of different regions,and coordinate these regulations with environmental protection policies to realize the goal of“lucid waters and lush mountains.”
基金Supported by National Natural Science Foundation of China (72003009)。
文摘The article selects the panel data of 289 prefecture-level and above cities in China from 2003 to 2017, establishes simultaneous equations and uses the 3 SLS estimation method to study the relationship between air pollution and economic growth. On the whole, industrial sulfur dioxide and soot emissions have an inverted U-shaped relationship with per capita GDP, and the increase in sulfur dioxide emissions has played a significant role in hindering economic growth. From a regional perspective, the sulfur dioxide emissions in the eastern and western regions conform to the environmental Kuznets curve, and the per capita GDP at the turning point in the western region is significantly lower than the overall national level. The smoke and dust emissions in the eastern, central and western regions all conform to the environmental Kuznets curve, while the per capita GDP at the turning point in the western region is significantly lower than that in the eastern and central regions. In the eastern region, both sulfur dioxide and smoke and dust emissions significantly hinder economic growth,and this hindrance is mainly caused by the spatial transfer of labor. Through further analysis, it is found that environmental regulations can significantly suppress the negative impact of air pollution on economic growth. Finally, the article puts forward some suggestions, such as environmental governance according to local conditions and strengthening environmental regulations.
基金This work was supported by the National Key Research and Development Program of China(No.2022YFC3702705)National Natural Science Foundation of China(grant Nos.82003413,92043301 and 82030103).
文摘The spatial disparity of air pollutants is one of the key influential factors for environmental inequality.We quantitatively evaluated the evolution of PM_(2.5)spatial disparity in China during 2013–2020,and investigated the associations between PM_(2.5)spatial disparity and economic indicators.Differences in PM_(2.5)between more-and less-polluted cities declined over time,suggesting decreased absolute disparity.However,the more polluted cities in 2013 remained so in 2017 and 2020,and vice versa,indicating persistent relative disparity.PM_(2.5)pollution levels increased with higher GDP per capita in less-developed areas of China,but such negative effects weakened over time,while economic development tended to promote cleaner air in developed areas of China.Therefore,policies to improve air quality and promote economic development simultaneously are needed in China to reduce the disparity of air pollution and promote all people to enjoy environmental equality.
