An empirical study of the impact of environmental regulation on the eco-efficiency of digital agriculture: a quasi-natural experiment based on China's carbon emissions trading pilot policy.

Re-measurement and influencing factors of agricultural eco-efficiency under the ‘dual carbon’ target in China

To address the imperatives of climate change and the pursuit of carbon neutrality, this study evaluates China's carbon emissions trading pilot (CETP) policies through a goal-process framework and estimates its effects with synthetic control methods, using panel data from 30 provinces (cities) from 2001 to 2019. The findings reveal that (1) there is a significantly positive correlation between the goals and processes of China's carbon trading pilot policies and the corresponding policy effects. (2) The analysis using the synthetic control method indicates that the pilot policy of carbon emission trading has led to a significant reduction in CO2 emissions in the pilot regions, with particularly notable policy effects observed in Hubei Province and Tianjin city. The research suggests enhancing top-level design, optimizing the policy implementation, recognizing the coordination between goals and processes, promoting the carbon market and focusing on regional differences to improve carbon trading pilot policies. This research offers scientific insights for future research innovations in environmental policy design.

To achieve the "dual carbon" goals, China has established a carbon emissions trading market to reduce corporate carbon emissions through market mechanisms. The effect of China's carbon trading pilot programme on export product quality is examined in this study. The analysis employs the quasi-natural experiment provided by this policy, focusing on the quality of exported goods. From 2009 to 2016, panel data from 31 provinces and municipalities created a difference-in-differences (DID) model. This model allows for a comprehensive examination of the impact at the city, industry, and destination country levels. The results show that the quality of exported goods is much improved by the adoption of the carbon trading pilot programme. Additionally, the examination of heterogeneity shows that the influence of the policy is greatest in central cities, with less noticeable effects in the eastern and western areas. The report offers suggestions for advancing carbon trading policies at its conclusion, including the adoption of customized strategies that take into account the distinctive qualities of certain geographic areas. These recommendations are intended to maximise the effectiveness of the carbon trading system and support China's broader environmental and economic objectives.

Examining the representativeness heuristic and anchoring effects in China's carbon markets

Carbon emissions trading and corporate green transformation: Evidence from a quasi-natural experiment in China.

Being one of the most important environmental regulation tools designed to incentivize operations, the carbon emission trading policy is an essential tool toward corporate sustainable development. Realizing the research sample using Chinese A-share listed companies between 2009 and 2022, this paper uses a multi-period difference-in-differences (DID) model to examine the the effects and mechanism of the carbon emissions trading policy on the listed firms ESG performance in the context of the goal of the carbon emissions trading policy known as the Dual Carbon. The findings indicate that the involvement in the carbon emissions trading scheme generates a considerable enhancement in the ESG performance of firms, and digital transformation participates in this relationship partially. Analysis of heterogeneity demonstrates that state-owned businesses and non-heavy-polluting businesses benefit more from the policy's ESG performance. Moreover, firms in less marketized areas and eastern regions are more responsive to the policy. This study contributes to promoting listed firms to enhance their ESG performance and provides actionable references for further improving the creation of the national carbon emissions trading market.

Quantity or quality? The impacts of environmental regulation on firms’ innovation–Quasi-natural experiment based on China's carbon emissions trading pilot

China's economic growth has entered “new normal,” and the task of reducing carbon emissions has become more onerous. Hence, this study aimed to explore whether China's carbon emissions trading pilot policy stimulated corporate green innovation capabilities. The data pertained to the green patent data of the listed companies in Shanghai and Shenzhen stock exchanges during 2008–2018. Using a difference-in-difference-in-differences (DDD) method, the study took advantage of the variations across regions, across enterprises, and across years and obtained several novel findings. First, the pilot carbon emissions trading policy significantly stimulated the green innovation capabilities of emission control companies in the pilot areas compared with enterprises in nonpilot areas and the nonemission control list. Second, the effect of the policy on the improvement in corporate green innovation capabilities might be driven by the improvement in corporate input factor allocation efficiency and the additional benefits that could be obtained from the carbon trading market. Third, the positive effect of the policy on the green innovation capabilities of state-owned enterprises was more significant. Therefore, the establishment and promotion of a unified national carbon emissions trading market and supporting mechanisms should be accelerated to achieve the balance of stable economic growth and carbon emission task.

The green development of agriculture is an essential way to achieve high-quality agricultural development, and the development of digitalization has given new momentum to the green development of agriculture. In this study, based on the panel data of 30 provinces in China from 2011 to 2022, we measure the agricultural eco-efficiency and the level of digital agriculture development in China using the Super-SBM model with global reference and the entropy value method, respectively. The impact of the level of digital agriculture development on agricultural eco-efficiency is explored with the help of a regression model, and the mediating role of pesticide and fertilizer inputs in this impact pathway is explored using a mediating effects model. The study found that: (1) the level of digital agriculture development positively and significantly affects agricultural eco-efficiency to a relatively large extent; (2) the effect of digital agriculture development on the improvement of agriculture eco-efficiency is significantly heterogeneous in different regions; (3) pesticide and fertilizer inputs have a mediating role in this impact pathway. Therefore, the application and promotion of digital agriculture technology should be strengthened to build a green agricultural production and management system, so as to promote high-quality and sustainable development of Chinese agriculture.

Market-oriented environmental regulations, employment adjustment and transfer path: Quasi-experimental evidence from China's carbon emissions trading pilot

Given the escalating challenges posed by global climate change, as the world's largest carbon emitter, China is facing a huge challenge in achieving its "dual carbon" goals. Therefore, reasonable prediction of China's carbon emission intensity is crucial for formulating effective emission reduction strategies. Considering the external shocks faced by the economic system, the time breakpoint is introduced into the traditional grey prediction model. The model is optimized from two aspects： accumulation method and background value, and a new grey breakpoint model with inverse accumulation is constructed. Based on the calculation of China's carbon emissions, the carbon emission intensity from 2023 to 2030 was predicted. The following conclusions were drawn： ① By adding time breakpoints, the new model achieved accurate prediction of the future trend of the system under external shocks, further reflecting the principle of information priority in the modeling process. ② Under the external impact of the COVID-19, the growth rate of China's GDP further slowed down, and the carbon emissions showed different characteristics in the four regions. The carbon emissions in the northeast began to decline gradually, while the carbon emissions in the eastern and western regions accelerated. ③ From 2023 to 2030, China's carbon emission intensity will considerably decrease. Compared with that in 2020, the carbon emission intensity is expected to decrease by 13.2% in 2025 and by 22.6% in 2030, with the highest decline in the northeast and the lowest in the east. However, under current conditions, China still finds it difficult to fully achieve its 2025 and 2030 emission reduction targets, with the eastern and western regions facing enormous pressure to reduce carbon emissions.

The Problem of Social Cost

Analysis of the Effectiveness of Carbon Emission Trading Market in China

With the development of industrialization, environmental problems have attracted much attention. In response to this problem, China has proposed a "dual carbon" goal: basically all regions will achieve "carbon peak" by 2030, and basically all regions will achieve "carbon neutrality" by 2060. This paper attempts to study whether the pilot carbon trading policy has really contributed to the emission reduction work in the region and the research results show that the implementation of carbon trading policies will have a positive impact on energy conservation and emission reduction in regions, which also means that further expansion and development of the carbon trading market is important for the realization of our country's "dual carbon" goal. It is very necessary; only by further upgrading and improving our country's carbon trading market can we ensure the smooth progress of energy conservation and emission reduction in the future.

With Kyoto Protocol gradually take force, carbon trading was born and developed rapidly. In contrast to prior studies on China's carbon emissions trading, we conduct a systematic research. First of all, we analyze the status of China's carbon trading. Second, we explore the production function model for relevant carbon trading and analyze the advantages and disadvantages of the carbon trading production function. Finally, based on the above discussion, several policy implications are exploited from four different perspectives, to promote the development of China's carbon trading.