“…According to the environmental status bulletin issued by the MEE of China, more than 75% cities faced excessive air pollution, and more than half of the natural water in water quality monitoring points was unsafe for human consumption in 2016 (MEE, ). Severe environmental pollution has brought crushing economic and social burdens to China (Shao, Tian, & Fan, ). In 2010, about 1.2 million persons died prematurely, and 25 million disability‐adjusted life years were lost in China as a result of air pollution (Yang et al, ).…”
Section: Background Of the Environmental Protection Admonishing Talk mentioning
Environmental regulation may lead to undesired economic consequences. China has tightened its environmental policies to deal with severe environmental pollution in recent years, but existing studies pay little attention to the economic consequences of China's environmental policies. Using the panel data of 211 prefecture-level and above cities in China from 2003 to 2016, we for the first time estimate the economic impact of the environmental protection admonishing talk (EPAT) policy, a newly implemented environmental regulation policy in China. We use the difference-in-differences strategy to identify the economic effects of the EPAT policy combined with the propensity score matching method to control a potential selection problem. The results show that a relative decline occurs in gross domestic product per capita in target cities after the implementation of the EPAT, and the negative impact is exerted on the secondary industry rather than the tertiary industry. Furthermore, we find that target cities respond to the environmental protection requirements of higher authorities through a one-size-fits-all approach of limiting the production activities of industrial enterprises. Meanwhile, the EPAT policy does not improve environmental efficiency. Such findings are instructive for policymakers who need to trade off economic welfare and environmental quality when formulating and implementing new environmental policies. K E Y W O R D S environmental policy, economic development, environmental regulation, difference-indifferences model, propensity score matching, China
“…According to the environmental status bulletin issued by the MEE of China, more than 75% cities faced excessive air pollution, and more than half of the natural water in water quality monitoring points was unsafe for human consumption in 2016 (MEE, ). Severe environmental pollution has brought crushing economic and social burdens to China (Shao, Tian, & Fan, ). In 2010, about 1.2 million persons died prematurely, and 25 million disability‐adjusted life years were lost in China as a result of air pollution (Yang et al, ).…”
Section: Background Of the Environmental Protection Admonishing Talk mentioning
Environmental regulation may lead to undesired economic consequences. China has tightened its environmental policies to deal with severe environmental pollution in recent years, but existing studies pay little attention to the economic consequences of China's environmental policies. Using the panel data of 211 prefecture-level and above cities in China from 2003 to 2016, we for the first time estimate the economic impact of the environmental protection admonishing talk (EPAT) policy, a newly implemented environmental regulation policy in China. We use the difference-in-differences strategy to identify the economic effects of the EPAT policy combined with the propensity score matching method to control a potential selection problem. The results show that a relative decline occurs in gross domestic product per capita in target cities after the implementation of the EPAT, and the negative impact is exerted on the secondary industry rather than the tertiary industry. Furthermore, we find that target cities respond to the environmental protection requirements of higher authorities through a one-size-fits-all approach of limiting the production activities of industrial enterprises. Meanwhile, the EPAT policy does not improve environmental efficiency. Such findings are instructive for policymakers who need to trade off economic welfare and environmental quality when formulating and implementing new environmental policies. K E Y W O R D S environmental policy, economic development, environmental regulation, difference-indifferences model, propensity score matching, China
“…(1) Urban GDP per capita (lnPGDP). GDP per capita can directly reflect the degree of regional economic development, and the economic development level directly determines the fiscal revenue of local governments as well as affecting the investment of environmental protection funds [30]. The classic EKC curve also indicates that there is an "inverted U" relationship between economic growth and environmental indicators, therefore, this paper selects GDP per capita as the conversion variable between transportation infrastructure and air pollution.…”
While previous study has confirmed significant correlation between infrastructure construction and air quality, little is known about the nature of the relationship. In this paper, we intend to fill this gap by using the Panel Smooth Transition Regression (PSTR) model to discuss the nonlinear relationship between transportation infrastructure construction and air quality. The panel data includes 280 cities in China for the period 2000-2017. We find that the transportation infrastructure investment is positively correlated to the air quality when the GDP per capita is below RMB 7151 or the number of motor vehicle population per capita is below 37 (vehicles per 10,000 persons) where the model is in the lower regime, and that the transportation infrastructure investment is negatively correlated to the air quality when the GDP per capita is greater than RMB 7151 or the number of motor vehicle population per capita is larger than 37 (vehicles per 10,000 persons) where the model is in the upper regime. The empirical results of the three sub-samples, including eastern, western and central regions, are similar to that of the national level. Furthermore, increasing transportation infrastructure investment is conducive to improving air quality. Urban bus services, green area, population density, wind speed and rainfall are also conducive to reducing air pollution, but the role of environmental regulation is not significant. After adding the instrumental variable (urban built-up area), the conclusions are further supported. Finally, relevant policy recommendations for reducing air pollution are proposed based on the empirical results.
“…Researchers have observed that pollution may arouse the WTP for eco-friendly products or acts [44,54] and that some of the respondents' willingness was affected by the types of pollution [55]. In the with-children group, guard-ians suffering from pollution showed more interest in paying.…”
Section: Live With or Without Children Groupmentioning
Unsanitary toilets are recognized worldwide as a threat to ground water and public health. In this research, we investigated villagers' willingness to pay to upgrade toilets in Shaanxi and Inner Mongolia. The study was based on data from 558 questionnaires collected in December 2017 and January 2018. The villages and villagers were randomly chosen. We observed that 42% of the respondents were willing to pay to upgrade toilets, and the key factors that affected willingness were dissemination, concern, gender, living time, and satisfaction. In addition, villagers who lived with children were more sensitive to pollution, especially water pollution. These findings could help the Chinese government's toilet revolution mission succeed by identifying and targeting villagers with high willingness.
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