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The digital economy is a crucial focus for realizing the transformation of old and new kinetic energy in China. It is widely integrated with various fields of the economy and society, constantly providing a new dynamic mechanism with synergetic control of environmental pollution and carbon emissions (SCEPCE). Based on panel data from 292 prefecture-level cities in China from 2011 to 2021, this study discusses the spatial effects and mechanisms of the digital economy on the coordinated control of pollutants and carbon emissions. The study found that: (1) The digital economy has direct and indirect influences on the coordinated control of pollutants and carbon emissions. The digital economy can drive reductions in pollutants and carbon dioxide emissions by upgrading industrial structures and transforming energy structures. (2) Green innovation plays an active regulatory role in the digital economy and structural optimization, particularly in the context of SCEPCE. This interference helps mitigate the impact of the digital economy on pollution and carbon emissions. (3) The digital economy has a significant spatial spillover effect on the coordinated control of pollutants and carbon emissions. (4) The influence mechanism of the digital economy on pollution reduction and carbon reduction synergy exhibits geographical heterogeneity, resource endowment heterogeneity. To enhance the synergy of pollution reduction and carbon reduction, it is essential to bolster support and optimise the digital economy at various levels. This includes reinforcing regional balance, considering spatial spillover effects, and enhancing the leading role of developed cities in the region.

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Electrification of bus fleets is an effective approach to reducing transportation-related pollution and carbon emissions. Evaluating the impact of electrification on existing bus fleets can provide valuable insights for promoting full electrification of public transportation in large cities. Utilizing the fuel life cycle method, we analyzed the CO2 and pollutant emissions of Zhengzhou's bus fleet before and after electrification and evaluated emissions under different electrification scenarios. Our results indicated that after electrification, the fuel life cycle CO2 and PM2.5 emissions increased by 32.6% and 42.6%, respectively, whereas CO, NOx, and VOC emissions decreased by 28%, 34%, and 25%, respectively. Optimizing the power generation structure is a critical factor in reducing CO2 and PM2.5 emissions during the electrification process. The best scenario for comprehensive electrification and power generation structure optimization could result in a 38.7% reduction in CO2, as well as reductions of 80.1% in CO, 84.4% in NOx, 92.2% in VOC, and 30.2% in PM2.5. Prioritizing electrification on long-distance routes is recommended during the replacement process. Additionally, replacing plug-in hybrid natural gas vehicles with pure electric vehicles has both advantages and disadvantages in terms of emission reduction. Achieving pollution reduction and carbon synergies requires advancing fleet replacement and power structure adjustments simultaneously.

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Frontier studies have neglected the impact of digital transformation (DT) on the synergy for pollution and carbon reduction (SPCR) from the perspective of micro enterprises. This paper explores the SPCR effect of DT, as well as its mechanism at micro-firm level. The study found that: (1) DT significantly facilitates corporate SPCR. For every 10% increase in the level of DT, the ranking of SPCR will rise by about 2.3 places. This effect is more obvious in high-tech firms and non-heavy polluters, firms in the eastern region in China, and non-SOE. (2) DT creates innovation-driven and structure-optimizing effects, which enhance the corporate green innovation ability, optimize the business structure and capital allocation structure of enterprises, and then drive the SPCR. (3) External public environmental concerns (PEC) and internal corporate ESG governance act as "accelerators" promoting the SPCR effect of DT. Based on these, policy implications are made to accelerate the pace of corporate DT, give full play to the first-mover advantage, and break the "pollution (carbon) lock-in" with a view to providing theoretical references for the listed enterprises' digitalized governance of SPCR, as well as the governmental departments' formulation of relevant guiding policies, and striving to achieve the high-quality development goal.

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Spatial misallocation of resource elements impedes the coordination in regional co-benefit in carbon emission and pollution reduction. Guided by scope economy principles, this study aims to quantifies co-benefits and explores spatial variation patterns to facilitate mutual synergy. The findings offer valuable insights for identifying optimal focus points and shaping targeted collaborative policies. Based on the multi-source provincial panel data spanning 2000 to 2021, this paper quantitatively assesses the co-benefit through the lens of marginal abatement cost. Then, the Dagum Gini coefficient was employed to investigate the disparities at the spatial level. Additionally, geographical detector is introduced to analyze the source of disparities at the factor level. Results indicate: (1) Under joint reduction, the marginal abatement cost reduces by 57.86% and 79.97% respectively, with an overall 68.77% increase in co-benefit fluctuation. (2) Provinces with low co-benefit significantly decreased after 2007, while provinces with high co-benefit concentrated in the northwest, southwest, and east. (3) Overall disparities decreased, east-central regions hold the lowest spatial disparities in co-benefit and east-west hold the most; intragroup differences and supervariable density primarily contributes to the disparity. (4) FDI significantly influence the co-benefit over the past two decades, with spatial disparities influenced by both endogenous and exogenous factors across development stages.

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Improving green water use efficiency is based on the synergy of reducing pollutants and carbon emissions, and effectively identifying its spatial development structure is a prerequisite for realizing the green transformation of water management. This paper adopted the slacks-based measure- "energy-environment-economy" (SBM-3E) model with carbon emission and pollution indicators as unanticipated outputs to measure the green water use efficiency of the 11 provinces (cities) in the Yangtze River Economic Belt from 2000 to 2018, then analyzed the efficiency network structure evolution by using the social network analysis method, and finally examined the drivers of efficiency networks. The results show that (1) the value of green water utilization efficiency decreases from 0.78 to 0.51, and its spatial distribution is downstream > middlestream > upstream, with the values of 0.41, 0.61, and 0.86, respectively. (2) The overall spatial network efficiency is gradually interconnected, with the density increasing from 0.32 to 0.6; it has undergone a structural evolution from "flat" to "inverted tower." The core-edge structure of the main body status within the basin has been strengthened. (3) The efficiency network is significantly influenced by water resource endowment, industrial structure, and foreign investment level. The conclusions are expected to provide useful insights for designing the basin's water protection policy and greening the region's development.

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The impact of digital industrialization on regional pollution control and carbon reduction in China is an area that remains largely unexplored despite being a new driving force in promoting high-quality economic development. This study constructs a combined system synergy model to measure the synergistic governance effect of regional pollution and carbon reduction in China from 2011 to 2020 and then estimates the direct impact and spatial spillover effect using a spatial dual-weight model. Our findings indicate that digital industrialization has a greater impact on regional pollution reduction and carbon reduction as geographical distance decreases, with the spillover effect with close geographical relationships being higher than that of adjacent. Furthermore, the heterogeneity analysis reveals that the added value of digital technology and services has a significantly positive effect, while the spatial spillover effect of the added value of digital infrastructure is significantly negative. Finally, our mechanism judgements prove digital industrialization can impact the level of regional co-governance of pollution and carbon reduction through source prevention, process control, and end-treatment. Our study provides a factual basis for further promoting China's environmental pollution control and carbon reduction behavior and offers a method to use different spatial weights in depth.

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How to simultaneously reduce environmental pollution and CO2 emissions is a challenging issue for various countries, particularly in China. Unlike traditional urbanization process that inevitably deteriorates environment, China initiated a New-Type Urbanization (NTU) strategy in 2014 following four principles: people-centeredness, optimal layout, ecological civilization, and cultural inheritance. Previous studies conduct research on NTU's influencing pollution and carbon reduction (PCR), respectively, while ignoring synergistic governance. The research objectives of this study are to investigate the potential mechanisms of NTU's influencing PCR and co-benefits for PCR. By leveraging 30 provincial-level data from China spanning 2005 to 2019, we comprehensively construct an index and assess NTU from six domains: population, economic, environmental, spatial, equitable, and social urbanizations and combine a coupling coordination model with a 2-way fixed effects model for empirical analysis. Our findings demonstrate that (1) NTU tends to significantly suppress pollution and carbon emissions, and this finding is reliable after several robustness tests and solving endogeneity with relief degree of land surface as an instrumental variable (IV). (2) The reducing effects seem to be achieved by promoting talent agglomeration, facilitating economic agglomeration and strengthening environmental regulations. (3) NTU tends to have both current and time-lag effects on pollution and carbon reduction, and their co-benefits are mainly influenced by the time-lag effect. Accordingly, policy recommendations are recommended: governments need to plan urbanization rationally, including strengthening public infrastructure and social welfare, pursuing the strategy of introducing talents, planning land and resource use rationally and efficiently, and strengthening environmental regulations. In addition, a mechanism should be developed to reduce pollution and carbon in an integrated manner for the long term. Our study broadens the horizons for international scholars engaged in sustainable urbanization research, enriching the array of research methodologies.

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Environmental pollution control and greenhouse gas emissions reduction have become the main ecological protection issues. The digital transformation of the financial sector provides a vital opportunity to holistically promote environmental governance. This article incorporates the synergistic reduction of pollution and carbon emissions into the environmental governance system of digital financial development. Using panel data from 280 cities in China between 2011 and 2018, we examine the impact of digital financial development on the synergistic reduction of pollution and carbon emissions. We find that (1) digital finance development can significantly improve the synergistic reduction of pollution and carbon emissions, effectively lowering carbon emissions while reducing pollution. External environmental concerns can further unleash the potential for digital finance development to enhance its synergistic reduction of pollution and carbon emissions. (2) The key transmission mechanism lies in the dual guidance of digital finance development toward biased technical change, i.e., toward energy-saving elements on the input side and toward reduced pollution output on the output side, thereby inducing the synergistic reduction of pollution and carbon emissions. (3) The synergistic effect of digital finance development on pollution and carbon reduction depends on the necessary regional development endowment, such as strong green technology innovation capabilities, lower traditional financial accessibility, and carbon sink reserves. This study expands the understanding of the environmental effects of digital finance development and offers crucial insights for exploring the optimal development path under green strategies.

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Under the "Going out" strategy and the Belt and Road Initiatives, the trade in goods and services and flow of production factors between China and the rest of the world have become more frequent, and the total amount of outward foreign direct investment (OFDI) is considerable and growing significantly. Therefore, along with the extensive economic growth and the substantial growth of foreign investment, the environmental impact of OFDI has become noteworthy. Here, through theoretical analysis and logical deduction, three possible pathways of the impact of OFDI in China on the environment were presented as hypotheses, which included the industrial structure, the technological innovation progress, and the economic-scale expansion. Using Chinese provincial data from 2004 to 2019, an environmental load index including main environmental pollutant emissions and carbon emissions was constructed. Taking this as the dependent variable, an intermediary effect method was constructed to analyze the home pollution and carbon reduction effect and the influence mechanism of OFDI in China. The results showed that ① OFDI in China reduced the environmental load, and each 1% increase in OFDI reduced the environmental load by 0.051%-0.076%. ② The OFDI in China reduced the environmental load by advancing the industrial structure and technological innovation progress, and a 1% increase in OFDI resulted in a 0.060% and 0.006% reduction in environmental load through their indirect effects, respectively, whereas OFDI increased the environmental load by 0.009% through the path of economic-scale expansion. The contributions of leading environmental load changes mediated by advancing industrial structure, technological innovation progress, and economic-scale expansion were 65.9%-84.5%, 6.6%-8.5%, and -12.7%- -9.9%, respectively, and the contribution of OFDI directly driving the environmental load to change was 19.7%-37.4%. Based on this, policy recommendations, including promoting Chinese enterprises and capital going abroad, encouraging relatively disadvantaged domestic industries to explore foreign markets, strengthening reverse technology spillover effects, and forming a sustainable low-carbon development mode, have been proposed.

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