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The realization of the "double-carbon" goal will contribute to the high-quality and sustainable development of China's economy and society, while the improvement of carbon emission efficiency in Chinese provinces will lay a solid foundation for the realization of the "double-carbon" goal. In this paper, 30 Chinese provinces are selected as research cases. MatLab software is applied to build the slacks-based measure Malmquist-Luenberger (SBM-ML) model to measure carbon efficiency. By the analysis of their carbon efficiency with the fuzzy qualitative comparative analysis (fsQCA) method, this paper aims to find new ways to improve carbon emission efficiency. Among the data of all the provinces and municipalities, there are only four are greater than 1, revealing much room for improvement in Chinese carbon emission efficiency. The carbon emission efficiency of each province and municipality is synergistically influenced by five elements: environmental regulation, urbanization rate, marketization level, consumer price index, and government environmental expenditure. Different configurations of the five elements constitute four feasible ways to improve carbon emission efficiency. The total consistency level of 0.822277 indicates that the four paths are sufficient conditions for achieving high carbon emission efficiency. The conclusions of this paper are not only helpful in accurately grasping the carbon emission efficiency in Chinese provinces but also provide theoretical support and practical guidance for improving the carbon emission efficiency in China. [ABSTRACT FROM AUTHOR]

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]

Based on the natural discontinuity method, kernel density estimation, Dagum Gini coefficient, exploratory spatial data analysis and other methods, this paper explores the temporal-spatial characteristics of China's urban carbon emissions from 2000 to 2017, and investigate the influencing factors of China's urban carbon emissions by using the decomposition model of the spatial Dubin model. The main conclusions are as follows: (1) China's urban carbon emissions are steadily rising, but the growth rate of carbon emissions is slowing down gradually; The two-level differentiation of carbon emission distribution in the eastern and central regions are obvious, while that in the western and northeastern regions are not obvious. (2) There is a significant spatial autocorrelation of China's urban carbon emissions, and the local agglomeration features are obvious, which are mainly "high-high agglomeration" and "low-low agglomeration". (3) In terms of carbon emission factors, technological innovation, foreign investment, and government intervention can reduce carbon emissions in the eastern region; Government intervention has a mitigation effect on carbon emissions in the central region; Infrastructure construction and technological innovation can reduce carbon emissions in the western region; The industrial structure has a mitigation effect on carbon emissions in the northeastern region. The main research values are as follows: It is helpful to comprehensively understand the dynamic distribution, regional differences and spatial agglomeration characteristics of China's urban carbon emissions, and then investigate the driving factors of carbon emissions in different regions, so as to provide a scientific basis for each region to further implement the "double carbon" strategy, promote the coordinated emission reduction of cities, and jointly build a green development path. [ABSTRACT FROM AUTHOR]

Digitization and greening, as two critical themes in the development of today's world, are also the main driving forces for high-quality and sustainable economic development. Based on the panel data of 30 provinces in China (except Tibet and Hong Kong, Macao, and Taiwan) from 2011-2019, this paper firstly measures the level of digital development of China's logistics industry by establishing a coupled and coordinated development model of China's logistics industry and digital industry, using two-way fixed effects model empirically China's logistics industry digital level on its carbon intensity, The mediating effect of logistics industry transformation and upgrading level on the impact of logistics digitalization level on its carbon emission intensity is further tested. The results show that: (1) the digitalization level of China's logistics industry shows an obvious "high in the east and low in the west"; (2) the influence of the digitalization level of the logistics industry on its carbon emission intensity is non-linear, with a significant inverse shape; (3) the transformation and upgrading level of the logistics industry has a positive mediating effect in the influence of the digitalization level of the logistics industry on its carbon emission intensity. The intermediary effect of positive regulation, in which the intermediary utility accounts for 66.7% of the total utility. [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]

This paper constructs an agricultural carbon welfare performance indicator based on the "Two Mountains Theory" and the concept of green agriculture, which takes into account people's welfare and the environment, trying to answer the driving effects of "Internet + Agricultural Insurance" on welfare levels and environmental protection in different rural areas of China. Using Chinese provincial dynamic panel data from 2007-2017, a time-individual double fixed-effects model and a systematic GMM model were constructed to empirically find that at the national level, agricultural insurance contributes to agricultural carbon emissions, thereby weakening agricultural carbon welfare performance. The Internet contributes to agricultural carbon welfare performance. The joint effect of the Internet and agricultural insurance on agricultural carbon welfare performance is characterised by an Internet-led facilitation effect in the form of lower agricultural carbon emissions and higher rural welfare. This finding confirms the synergistic governance effect of "Internet + Agricultural Insurance" on high quality green development in agriculture and provides strong evidence for the implementation of this model. [ABSTRACT FROM AUTHOR]