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The scarcity of resources in the environment determines the inevitable conflict between economic growth and environmental protection, and the environment as a public good determines that environmental protection and ecological management should be included in the scope of government regulation. Taking the panel data of 30 Chinese provinces (municipalities and autonomous regions) as the sample, this study first constructed the index system of high-quality economic development with the five major development concepts of 'innovation, coordination, openness, greenness, and sharing' as the guide. Based on the shortcomings of the existing measurement methods in equalizing the weight distribution of indicators, we proposed the combination of the coefficient of variation method with the entropy weight method to measure the comprehensive index of high-quality economic development. Secondly, the random forest algorithm was used to filter the variables based on the importance of model variables. Finally, we empirically investigated the heterogeneity in the impact of environmental regulatory policy synergies on high-quality economic development using penalized panel quantile regressions that fully accounted for the characteristics of data outliers. The results showed that there was significant heterogeneity in the impact of environmental regulation policy synergies on high-quality economic development. Specifically, the result showed that: 1 The combination of Policy 2 and Policy 3 had the best synergy effect in regions with lower levels of high-quality economic development (0.1 quantile), and the synergistic effect of the three policy combinations was optimal in regions with more developed levels of high-quality economic development. 2 Policy synergies had a positive impact on high-quality economic development, with a 'U'-shaped change, i.e. as the degree of policy synergies increased, the level of high-quality economic development tended to fall first and then rise. 3 The output elasticity value of policy synergies did not cross the 'inflection point' in regions with less developed levels of high-quality economic development. This result somewhat inhibited high-quality economic development, supporting the 'cost of compliance' argument. However, the output elasticity values of the better developed regions crossed the 'inflection point'. The findings supported the 'innovation compensation theory'. Therefore, to reduce inter regional differences, cooperation between governments at all levels and relevant departments should be strengthened to continuously promote policy synergies and improve the efficiency of policy combinations, which will not only benefit the ecological environment, but also improve factor productivity and energy efficiency, thus promoting quality inter-regional economic development. [ABSTRACT FROM AUTHOR]

Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As urban agglomerations have become the main spatial organization form in China, it is of great significance to carry out environmental cooperative governance based on urban agglomerations. Research on the interaction of environmental regulation enforcement among cities can provide a new explanation for the competition and cooperation in terms of pollution control in urban agglomerations. This article selected three types of environmental regulation policy tools: market-incentive, command-and-control, and their combinations, and analyzed the interaction pattern of environmental regulations based on the theoretical mechanism derivation and the two zone spatial Durbin model by using the panel data of 103 cities in China. Then, the SLX model was used to explore the impact of the interaction of environmental regulations on the cooperative governance of pollution in five urban agglomerations. The results showed that the market-incentive environmental regulation was not fully implemented, which meant that some cities adopted a 'race to the bottom' strategy in response of the competition with their neighbors. After combining market-incentive environmental regulation with command and-control environmental regulation, the pattern of environmental regulation interaction between cities changed from ' race to the bottom' to 'race to the top'. This interactive characteristic was particularly significant in the Yangtze River Delta and the Chengdu Chongqing urban agglomerations. However, the 'racing to the top' characteristic of these two urban agglomerations had different effects on the intercity environmental cooperation: there was a synergy effect caused by strong spillover effect of environmental regulation implementation in the Yangtze River Delta urban agglomeration rather than in the Chengdu-Chongqing urban agglomeration. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Xi'an Polytechnic University is the property of Editorial Department of Journal of Xi'an Polytechnic University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Environment protection attracts more and more attention all of the world. The governments are reinforcing the regulation on firms and encourage them to adopt new environment protection technologies. Aimed at the debate whether the environment regulation can stimulate firms to adopt new technologies to deal with waste materials, the effect of regulations on monopoly firms adopting new technologies was analyzed with a model. The result shows that the charge to pollution is important for governments to encourage firms to adopt new technologies. The subsidies decreased with rime going can encourage the adoption behavior of firms more efficiently than the fixed subsidies. Furthermore, the adoption cost varying with time going, the discount rate and the efficiency of new technologies can affect the effect of regulation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the context of achieving the 'dual carbon' goals of peaking carbon emissions and carbon neutrality, meeting emission reduction targets while ensuring stable economic growth is the economic development model China is seeking now. Therefore, exploring the mechanism of environmental regulation in China's economic growth, especially on technological progress, will help to analyze the mechanism of environmental policy on sustainable economic development. In this article, we used the SBM model to measure the green total factor productivity in the subdivided industries of the manufacturing industry in China from 2003 to 2018, and decomposed technological progress to examine the factor preference characteristics of biased technological progress, and finally used a panel regression model to empirically test the mechanism of environmental regulations on green total factor productivity and technological progress and their decomposition terms. The results showed that: 1 Green total factor productivity in China's manufacturing industry was generally increasing year by year, and technological progress was the main source of its growth. Environmental regulation showed an inverted U shaped relationship with green total factor productivity and technological progress, and the intensity of regulation was currently on the left side of the inflection point, and the increase in environmental regulation intensity helped to promote the growth of green total factor productivity and technological progress in China's manufacturing industry. 2 From the internal influence mechanism of technological progress, the results of biased technological progress factor preferences showed that the characteristics of input-biased technological progress factor preferences changed with the stage of economic development, and output-biased technological progress was more biased toward CO2 output, but it showed an improving trend year by year. The effects of environmental regulations on input-biased technological progress, output-biased technological progress, and scale technological progress were all significant, and the increase in the intensity of environmental regulations helped to enhance input-biased technological progress and reduce output-biased technological progress so as to save the input of production factors and reduce CO2 output. 3 The degree of opening to the outside world, capital intensity, and government subsidies all had positive effects on green total factor productivity and technological progress, and strengthening these factors could help to improve the economic development of the manufacturing industry. The study found that current technological progress had a certain 'carbon lock-in' effect on carbon emissions, and environmental regulations were not effective in reducing coal use. By measuring the current situation of China's manufacturing economy and the effect of environmental regulations, this study provides theoretical support for promoting China's green and high-quality economic development. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of the Chinese Academy of Sciences / Chung-kuo ko Hsueh Yuan Yuan Kan is the property of Institutes of Science & Development, Chinese Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Limiting pollutant emissions and improving the environment quality to build a green and modern country has been a long-term goal of China's sustainable development. The environmental regulation intensity will also be strengthened as time goes. Comprehensively evaluating the effects of the improvement of environmental regulation intensity on FDI will provide a reference for the formulation of future policies. As there are differences between the effects of 'pollution total control' and 'pollution equivalent control', this paper took the data of Chinese cities of 1995-2017 as a sample, used the quasi natural experiment of the adjustment policy of SO2 sewage charge collection standard, and adopted the DID, PSM and nonlinear estimation methods to explore the effects of 'pollution equivalent control' environmental regulation represented by this policy on FDI location choice. Result of this study showed that the adjustment policy of SO2 sewage charge collection standard implemented in all provinces since 2007 had obvious inhibitory effects for the entry of FDI in regions, and the conclusion passed a robustness test. It demonstrated that the effects of China's environmental regulation intensity on FDI were mainly 'pollution havens effects'. According to a regional heterogeneity analysis, the inhibitory effects of this policy on northern cities are stronger than those on southern cities. In addition, the result of nonlinear estimation suggested that during the implementation of the policy and with the strengthening of SO2 sewage charge collection, the impact of the adjustment policy of SO2 sewage charge collection standard on FDI demonstrated a U shape, indicating that the impact of China's environmental regulation intensity on FDI had multiple effects and influence channels. To explore it, this study used China Industrial Business Performance Data of 1998 -2012, and carried out a mechanism analysis with the DDD and other methods. The study showed that this policy had inhibitory effects on FDI of SO2 high-polluting industries, and had promotion effects on FDI of high-tech industries. It also had inhibitory effects on FDI of non-SO2 high-polluting and non-high-tech industries, but the effects were less significant than those on FDI of SO2 high-polluting industries. Given the above views, 'pollution havens effects' and 'pollution halo effects' can both work in China, but there are differences among their applicable objects. These findings will provide some references for China's environmental policy formulation in the future. [ABSTRACT FROM AUTHOR]

The relationship between environmental regulation and technological innovation is a hot topic in current academic circles, and also an important starting point to promote the "win-win" development of economy and environment in the new era. From the perspective of nonlinear spatial relationship, this paper constructs spatial autocorrelation model and spatial Dubin model, and analyzes the spatial correlation between environmental regulation and technological innovation, then demonstrates the spatial effect of environmental regulation on technological innovation, and further discusses the nonlinear influence of environmental regulation in eastern, central and western regions on local and neighboring technological innovation and its mechanism. The results show that: (1) environmental regulation has the spatial effect of technological innovation. Environmental regulations in the three regions do not always play an incentive role in local technological innovation, and all of them show an inverted U-shaped feature of increasing first and then suppressing. However, the spatial heterogeneity of environmental regulation on technological innovation in the neighborhood is more prominent. The eastern region is consistent with the local effect and shows an inverted U-shape, while the central and western regions show a positive U-shape. Most provinces in eastern, central and western regions are in the stage of negative externality of environmental regulation, which hinders the development of local and neighboring technological innovation. (2) From the perspective of mechanism of action, the impact of environmental regulation on local technology innovation is mainly manifested as cost effect, and is the result of cost-benefit balance. The impact of environmental regulation on technological innovation in the neighborhood is the spatial overflow of environmental regulation. This effect is the result of indirect spillover and direct spillover forces, which affect the eastern and western regions respectively. (3) Technological innovation is the result of multiple factors. In addition to environmental regulation, human capital, opening to the outside world and R&D investment will also significantly affect regional technological innovation. Therefore, relevant suggestions are put forward to provide reference for regional environmental governance and highquality economic development. [ABSTRACT FROM AUTHOR]

Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The differentiated regional environmental tax policies have provided a space for polluting enterprises to avoid environmental costs through regional transfer, bringing spillover effects from pollution and green innovation. These spillover effects have increased the difficulty of environmental taxes in stimulating green innovation. Moreover, the intensity of local governments' environmental regulations can also affect the effects. Ignoring governments' regulations may lead to inappropriate inferences about the relationship between pollution reduction policies and technological innovation. Using inter-provincial panel data from 2005 to 2019, this article developed a theoretical framework for the analysis of government environmental regulation, environmental taxes, and regional green innovation, employed a spatial panel Durbin model to empirically analyze the spatial spillover effects of environmental taxes on green innova -tion and the interaction of environmental supervision, and further examined the transmission mechanism of the impact of environmental taxes on green innovation in neighboring areas. The results showed that the local-neighborhood green innovation effects of environmental taxes had an inverted U-shape. Government environmental regulation could improve the innovative compensation effect of environmental taxes and reduce the capture probability of environmental regulation, which would strengthen the impact of environmental taxes on green innovation. The green innovation effect of environmental taxes had obvious regional heterogeneity. The above effect characteristics were only applicable to China' s eastern region. In the neighborhood effect, government environmental regulation was only significant in the central region and significantly enhanced the impact of environmental taxes on green innovation. The trans-regional flows of human capital and polluting industries were important factors contributing to the spatial characteristics of the local -neighborhood green innovation effect of environmental taxes. High-intensity environmental tax areas led to the outflow of human capital and the return of polluting industries by a two-way effect in neighboring areas and promoted green innovation in the short term. However, in the long run, the agglomeration of polluting industries, the loss of high-quality talents, and the continuous deterioration of the environment would ultimately inhibit the green innovation of neighboring areas. To enhance the effect of environmental tax policies, local governments should prudently formulate environmental tax rates, improve the environmental supervision system, further optimize the talent development mechanism, and improve the regional industry collaborative management mechanism. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)