The impact and mechanism analysis of Clean Development Mechanism on the synergistic effects of pollution mitigation and carbon reduction.

The establishment of the Clean Development Mechanism (CDM) has greatly improved China's carbon emission trading system. However, due to the unbalanced development of CDM in China, the effects and mechanism of CDM on reducing pollution and carbon are still unclear. In order to explore the effects and mechanism of CDM on the synergistic effects of pollution mitigation and carbon reduction, we first set up a theoretical analysis framework. Utilizing panel data from 254 prefecture-level cities across China spanning from 2004 to 2021, we employ a synergy degree model of composite system to evaluate the synergistic effects of pollution mitigation and carbon reduction. By treating CDM as a quasi-natural experimental research subject, we construct a multi-period difference-in-difference model to assess the CDM projects' effects. Our findings indicate a positive association between CDM projects and the synergistic effects of pollution mitigation and carbon reduction. Heterogeneity analysis reveals that CDM projects located in the western region, areas with lower levels of economic development, non-resource cities, non-old industrial bases, and projects with Certified Emission Reductions issued exhibit the most pronounced synergistic effects. Specially, dynamic policy effect analysis shows that only non-resource cities and non-old industrial bases exhibit enhanced policy implementation regarding CDM. Mechanism analysis demonstrates that CDM primarily enhances synergistic effects through improved energy efficiency, technological innovation and energy transition. These findings enrich empirical investigations concerning market-driven emission reduction policy in China, shedding light on pivotal pathways for synergistic control of pollution mitigation and carbon reduction and offering valuable policy insights for comprehensive economic and social green transformation in China.

Innovating from the ground up: the impact of key technological advancements on collaborative carbon and haze governance.

Strengthening the synergistic management of carbon and haze is an important means to realize China's "carbon peaking and carbon neutrality goals" and green development. In this paper, the entropy method is used to measure the key core technology innovation level of 30 provinces in China from 2011 to 2021, and the fixed-effect model is used to empirically test the impact of key core technology innovation on carbon haze synergistic governance and the internal mechanism. The study found that (1) key core technological innovation helps to promote carbon haze synergistic governance. (2) The mechanism test shows that key core technology innovation promotes the synergistic management of carbon haze by improving the clean energy structure. (3) The moderating effect shows that both market incentives and government environmental regulations will strengthen the positive relationship between key core technology innovation and carbon haze synergistic governance. The main contribution of this paper is to reveal the influence mechanism of key core technology innovation on carbon haze synergistic governance, and also to provide theoretical basis for the mechanism and law of carbon haze synergistic governance.

Greening China's Growth: Assessing the Synergistic Impact of Financial Development and Technological Innovation on Environmental Pollution Reduction-A Spatial STIRPAT Analysis.

To achieve sustainable economic development in China, it is crucial to balance economic growth and environmental protection. Financial capital and technology can contribute positively to environmental pollution control. This study employs the Cournot model to examine the impact of financial development and technological innovation on environmental pollution at the micro level. It utilizes the spatial STIRPAT model to analyze inter-provincial panel data from China between 2005 and 2020. The results show that China's ecological environment pollution exhibits significant spatial dependence, and heavily polluted areas tend to agglomerate. While improving financial development can increase regional environmental pressure, positive spatial spillover improves environmental quality in neighboring areas. Conversely, technological innovation reduces local ecological pressure, with negative spatial spillover effectively curbing environmental pollution in surrounding regions. The results support the environmental Kuznets curve (EKC) hypothesis, which posits an inverted U-shaped relationship between economic growth and environmental pressure, while population growth increases environmental pressure. The findings are robust and have important policy implications.

Unveiling the impact of digital industrialization on synergistic governance of pollution and carbon reduction in China: a geospatial perspective.

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.

Enhancing urban ecological resilience through integrated green technology progress: evidence from Chinese cities.

The effective resolution of environmental pollution caused by carbon haze through coordinated progress in green technology and urban ecological resilience is a crucial approach towards promoting sustainable development in Chinese cities. In this study, panel data from 281 cities in China from 2007 to 2019 were analyzed using the entropy method and the coupling coordination degree model to determine the coupling coordination degree between green technology progress and urban ecological resilience. The coordinated influence model and threshold model were applied to investigate coupled coordination types and influencing factors. Results indicate that green technology progress levels have shown an upward trend with increasing volatility from east to west and decreasing volatility with urban scale expansion. Ecological resilience levels have also steadily increased, albeit at a reduced rate. The coupling coordination degree of green technology progress and urban ecological resilience has evolved overall from low to high levels; however, the coupling coordination type has regressed to some extent, with most regions exhibiting lagging green technological progress. Pressure resilience has a positive impact on the coupling coordination degree, while state resilience and response resilience have a negative impact. Green technology progress has a dual threshold effect on the coupling coordination degree. By exploring the coupling and coordination mechanism between green technology progress and urban ecological resilience, this study not only facilitates collaborative management of pollutants and greenhouse gases in cities but also provides a comprehensive reference for the construction of an institutional system for collaborative carbon and haze management.

How geographic diversification affects corporate social responsibility? The moderating effects of ownership and environmental regulation.

As a popular strategy for firms to spread risk and reduce cost, geographic diversification might lead to more pressure from multidimensional stakeholders such as government, customer, and environment, which would inevitably affect the corporate social responsibility (CSR). With the data of Chinese A-share listed firms from 2011 to 2017, our empirical results verify that there is a significantly positive correlation between CSR and geographic diversification within China. Moreover, this correlation varies with corporate ownership and environmental regulation. The state-owned firms and those under lower environmental regulation will encounter significantly higher influence from the geographic diversification strategy. Our research has significant managerial implication for CSR in not only China, but also other countries with similar ownership structure and strongly unbalanced institutional environment.

"Political blue sky" in fog and haze governance: evidence from the local major international events in China.

The trade-off between economic development and environmental protection has always been a significant and tough issue for local governments. Studies found that some local governments took temporary measures to control air pollution and created "political blue sky" in certain periods. We collected daily air quality index (AQI) data and individual pollutant concentration data of four cities in China which have hosted major international events in 2019. The air quality of the cities taken temporary measures to control air pollution had an obvious improvement during the events. Furthermore, the improvement mainly occurred in pollution indicators, such as PM2.5 and PM10, which are more valued and sensitive to the public. The sustainability analysis demonstrates that the air quality deteriorated again after the event, indicating that "political blue sky" comes at the cost of retaliatory pollution.

Local government responses to catalyse sustainable development: Learning from low-carbon pilot programme in China.

Though there has been a proliferation of strategies and initiatives formulated at both national and international levels to catalyse sustainable development, most are, in effect, implemented in the subnational jurisdictions. Therefore, it is important to address how local government responds to catalyse sustainable development under an environmental decentralisation regime. Prior studies focusing on environmental decentralisation come mainly from developed countries, whereas our paper examines how local governments in China involved in a low-carbon pilot programme react to stringent environmental regulations (ERs) from central government, reflected by changes in land transfer of pollution-intensive industries (PIIs). Our results show that a low-carbon pilot programme reduces land transfer of PIIs by 34.45 ha, due mainly to a decrease in the number of small PII projects. Meanwhile, our research furthers the understanding of environmental decentralisation literature by showing that public awareness, fiscal imbalance, and market-oriented reform can improve local enforcement. Besides, our study contributes to understanding the mixed effect of ERs on firm location, which is likely to be driven by the socio-economic conditions of jurisdictions. Our study also provides practical implications for catalysing sustainable development in those countries with traits of environmental decentralisation and disparate development.