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Can China's carbon trading policy promote regional green total factor productivity? What are the specific influencing processes and mechanisms between the two? In this paper, we construct an indicator framework for China's green total factor productivity from the perspective of green development, which comprehensively considers various inputs and outputs. This paper uses a more scientific Super-EBM model considering the mixed distance to accurately measure the regional green total factor productivity in China. The static and dynamic effects and multiple mediating effects of carbon trading policy on green total factor productivity were studied by using DID model combined with stepwise regression method. The robustness of the results was tested by parallel trend test and placebo test. The mediating effects of total energy consumption, energy consumption structure, technological innovation and the moderating effects of financial development level and intellectual property protection degree are studied. The results show that carbon trading policy significantly improves China's regional green total factor productivity. The effect of carbon trading policy on green total factor productivity in pilot areas increased to decreased; Total energy consumption and energy consumption structure have a partial intermediary effect on the relationship between carbon emission trading policy and regional green total factor productivity in China, while technological innovation has a masking effect. Regional financial development level and intellectual property protection intensity play a moderating role in the relationship between carbon emission trading policy and regional total factor productivity. Based on the above conclusions, some suggestions are put forward for the improvement of China's carbon trading policy system. [ABSTRACT FROM AUTHOR]

In China, rapid development has lead to serious environmental pollution. Excessive carbon dioxide emissions have not only caused significant damages to the environment, but also harmed people's health. Subject to carbon peaking and carbon neutrality goals, cities need to conserve energy and reduce emissions while maintaining steady economic growth, an effective measure for which is to improve carbon efficiency. Carbon efficiency is affected by environmental regulation. As a kind of environmental regulation featuring public participation, environmental information disclosure has become an important measure affecting carbon efficiency. In this paper, we estimated carbon efficiency of Chinese cities with super-efficiency DEA model, analyzed the spatial and temporal heterogeneity of carbon efficiency. Unlike previous literature, we further investigated the impact of environmental information disclosure on carbon efficiency using difference-in-differences model, tested split samples by geographical location and city size to examine the impacts of environmental information disclosure on carbon efficiency in different regions and cities of different sizes, and validated that environmental information disclosure affects carbon efficiency through technological improvements and clean industry substitution. On this basis, we proposed policy measures to improve carbon efficiency, including transforming government functions, offering inter-regional carbon compensation, and establishing a diversified carbon emissions reduction system. [ABSTRACT FROM AUTHOR]

To realize the great goal of attaining peak carbon in 2030 and carbon neutrality in 2060, agricultural carbon mitigation must be an essential activity in China. Policy-oriented agricultural insurance is accepted as an effective income guarantee and risk transfer tool, which can not only disperse the risk of agricultural operation but also guide green agricultural production. In this study, based on panel data from 2012 to 2018 in China, a multistage dynamic DID model is constructed to systematically explore the effect of policy-oriented agricultural insurance on green agricultural development, primarily to clarify the specific mechanism of the effect. The results show that agricultural carbon emission is increasing year by year and the implementation of policy-oriented agricultural insurance has a significant positive impact on reducing agricultural carbon emissions. We further find that the promotion effect of agricultural insurance on carbon emission reduction increases with the expansion of agricultural technicians and the decrease of agricultural chemical utilization. In terms of spatial heterogeneity, the impact of the policy-oriented agricultural insurance on reducing agricultural carbon emissions is stronger in central and western regions than in eastern regions. At the same time, this paper provides operational suggestions for low-carbon agricultural development and the formulation of relevant macroeconomic agricultural policies. Our findings support the positive effect of policy-oriented agricultural insurance and provide significant policy implications for agricultural carbon emission reduction and control actions in China and other countries. [ABSTRACT FROM AUTHOR]

To effectively solve the environmental pollution caused by greenhouse gases, countries around the world have successively set up carbon emission trading markets in recent years. At present, China's carbon trading market is only in its infancy, making various mechanisms and policies insufficient. As the core issue of carbon trading market, the fluctuations of carbon trading price are related to the investment decisions of market participants, the formulation of enterprise production and operation plans, and the realization of global emission reduction targets. Therefore, it is of great practical significance to study the influencing factors of carbon price fluctuations and to predict future carbon prices. In this paper, we take the carbon trading week data of the Beijing carbon trading market in China from May to September 2020 as the research object. Firstly, the gray correlation technique is employed to measure the rationality of the selected factors affecting carbon price fluctuations. Secondly, through the principal component analysis method to analyze the various influencing factors, it is found that energy prices and macroeconomic development are the main factors affecting carbon prices, and weather conditions will also cause carbon price fluctuations. Then, four different models are proposed to predict carbon trading prices, and the forecast results are evaluated through the performance evaluation index system. The results show that the GA-ELM model has the best prognosis effect. Finally, according to the analysis results, it provides a useful theoretical reference for carbon market decision makers and participants. [ABSTRACT FROM AUTHOR]

Efficiency Power Plant (EPP) is a package of power demand side projects with zero emission, zero pollution and other advantages. In the process of implementing EPP, enterprises not only save electricity, but also reduce carbon emissions, while meanwhile increase the cost of R&D and equipment. Therefore, it is very necessary to study relationships between carbon quota and EPP implementation decision. In this paper, we build the profit functions of three different types of enterprises implementing EPP and analyze the relationship of main parameters, such as the probability of implement EPP, electricity saving, income, cost and carbon quota, and refine 11 relative results. At last we use 'Maple' software to verify the validity of the results, and carry out an empirical analysis of a case in China to prove the practicability of the relationship analysis results. The conclusion shows that under the carbon quota trading environment, enterprises should tend to implement EPP, and increase investment in R&D and acquisition of EPP, and need adjust the intensity of implementing EPP according to the change of carbon quota, unit carbon quota income, to obtain higher income. [ABSTRACT FROM AUTHOR]