Does the Government’s Environmental Attention Affect Ambient Pollution? Empirical Research on Chinese Cities

Exploring the carbon emission reduction effect of local government attention: an analysis based on an environmental policy perspective

Government attention and policy implementation are important for achieving environmental goals. This study uses 257 cities in China from 2013-2019 as the sample and measures local government attention through text mining, thus exploring the carbon emission reduction effect of government attention. Threshold regression is further used to examine the role and nonlinear relationship that environmental policies assume in the effect of government attention on carbon emission reduction. The conclusions are as follows: first, government attention can significantly reduce carbon emissions: with a 1% increase in local government attention to environmental protection, China's urban CO2 can be reduced by 0.04%. Second, the impact of government attention on carbon emissions is more significant in cities in non-air pollution prevention areas, in non-SO2 and acid rain control areas, with longer tenure of officials, and with female officials serving during the sample period. Third, the effect of government attention on carbon emission reduction can be significantly increased under policy influence, especially when two policies are implemented in concert. Fourth, market incentive policies play a stronger role in the first place, while traditional energy-saving policies have strong sustainability. In general, the study concludes that municipalities should allocate more attention to the environment, and it gives some reasons supporting policy choices.

Facilitate or Inhibit: Corporate Environmental Performance and Financing Costs

The proposed carbon peak and carbon neutralization goals have ushered China into an era of emissions reduction and a climate-oriented economy. With the proposed double carbon goal, China has formulated many environmental protection and green credit policies. This paper aims to assess the impact of corporate environmental performance (CEP) on financing costs, using a panel dataset of companies in China's heavily polluting industries from 2010 to 2019. We employed fixed-effect models, moderating-effect models, and panel quantile regression (PQR) to analyze the impact, underlying mechanisms, and asymmetric features of CEP on financing costs. Our results indicate that CEP has an inhibitory effect on financing costs, with political connections strengthening this effect and GEA weakening it. Moreover, the impact exhibits asymmetry at different levels of financing costs, wherein lower financing costs see a greater weakening effect from CEP. Improved CEP helps to optimize the financing performance of companies and reduce financing costs. Therefore, policy makers and regulatory authorities should work to unblock financing channels for companies, encourage environmental investment, and remain flexible in implementing environmental policies.

Can the digital economy improve green total factor productivity? An empirical study based on Chinese urban data

With the new generation of technological revolution, the digital economy has progressively become a key driver of global economic development. In this context, how to promote green economic growth and improve green total factor productivity (GTFP) with the help of the digital economy is an important issue that urgently needs empirical research. We adopted the panel data of 278 Chinese prefecture-level cities from 2011 to 2020 to test whether the digital economy improves the GTFP through the Gaussian Mixed Model (GMM) dynamic panel model. The moderating effect model has been used to explore the impact mechanism from the perspectives of industrial structure upgrade and environmental regulation. In addition, a grouping regression was applied to the sample cities to test the heterogeneous impact of the digital economy on the GTFP. Based upon the empirical findings, this work has the following conclusions. First, the digital economy plays a significant role in improving the GTFP. Second, an industrial structure upgrade has a positive moderating effect on the ability of the digital economy to enhance the GTFP. The environmental regulation, in contrast, has a negative moderating effect. Third, the digital economy exerts heterogeneous impacts on the GTFP across regions, but not at the city level.

Air Pollution Management: A Multivariate Analysis of Citizens' Perspectives and Their Willingness to Use Greener Forms of Transportation

The present research aims to understand how air pollution can be managed by public authorities, both central and local, starting from citizens' perspectives on the issue. Air quality is a real problem, affecting people at multiple levels. Thus, we introduced the following variables to better understand the problem and to be able to formulate theoretical and practical implications for public management: the involvement of authorities in reducing air pollution; the involvement of citizens in reducing air pollution; financial incentives for citizens and companies for adopting behaviors that reduce air pollution; green investments in the city; the impact of air pollution on the community; and the need for independent bodies to monitor air pollution. The research methodology used is partial least squares structural equation modelling (PLS-SEM) and the required data were gathered from issuing a survey to citizens from the most important cities in Romania where pollution poses important challenges for the community and for the authorities. The results are useful to public managers in local and central institutions for creating better strategies meant to reduce air pollution, increase air quality, and improve the quality of the citizens' lives.