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The study of the evolutionary patterns and trends of agricultural carbon emission intensity and agricultural economic development levels plays an important role in promoting the green and low-carbon sustainable development of agriculture. This paper adopts the carbon emission factor method to measure the agricultural carbon emissions in Jiangxi Province from 2001 to 2020, uses the LMDI decomposition method to explore the drivers of carbon emissions, and further analyzes the coupling relationship between agricultural carbon emissions and the agricultural economy using the Tapio decoupling model, based on which a GM (1,1) model is used to forecast the agricultural carbon emissions in Jiangxi Province from 2001 to 2015. According to the research results, agricultural carbon emissions in Jiangxi Province show a trend of “rising and then falling”, with the intensity decreasing; the level of economic development is the main factor that increases carbon emissions, while the efficiency of agricultural production, the size of the labor force, and the structure of agricultural production have positive effects in terms of reducing carbon emissions. How to reduce carbon emissions while promoting agricultural economic development is an issue that remains to be addressed in the future. Further analysis found that the decoupling states of Jiangxi Province from 2001 to 2009 switched between strong decoupling and weak decoupling, with weak decoupling dominating the years 2010–2015 and strong decoupling dominating from 2016 onwards. With the continuous promotion of carbon emission reduction, agricultural carbon emissions in Jiangxi Province will continue to show a decreasing trend over the next five years. Three policy recommendations are put forth in order to advance the effort to reduce agricultural carbon emissions in Jiangxi Province: cultivating high-quality and low-carbon rice varieties, switching to green agricultural production, and coordinating the connection between economic growth and agricultural carbon emissions.

The successively proposed carbon peaking and carbon neutrality have not only set new goals for the green and low-carbon development of China’s economy, but also demonstrated China’s further determination and sense of responsibility for a greater contribution to address global climate change. Considering the importance of carbon peaking and carbon neutrality in the course of achieving the Second Centenary Goal (1949-2049), it is necessary for China to make scientific planning for the roadmap of carbon emission reduction, carbon peaking and carbon neutrality to ensure building a great modern socialist country under carbon constraints. More specifically, the optimization and realignment of energy structure, industrial structure, production and consumption structure, the rational planning of afforestation, and the vigorous development of global carbon emissions trading will be the core strategies for boosting green and low-carbon development of China’s economy.

In this paper, we examine the influences of vertical and horizontal cooperation models on the optimal decisions and performance of a low-carbon closed-loop supply chain (CLSC) with a manufacturer and two retailers, and study optimal operation in the competitive pricing, competitive the low-carbon promotion, the carbon emission reduction, the used-products collection and the profits. We consider the completely decentralized model, M-R vertical cooperation model, R-R horizontal cooperation model, M-R-R vertical and horizontal cooperation model and completely centralized model, and also identify the optimal decision results and profits. It can be observed from a systematic comparison and numerical analysis that the completely centralized model is best in all optimal decision results among all models. In semi-cooperation, the M-R vertical cooperation model is positive, the R-R horizontal cooperation model is passive, and the positivity of the M-R-R vertical and horizontal cooperation model decreases with competitive intensity increasing in the used-products returning, carbon emissions reduction level, low-carbon promotion effort and the profits of the manufacturer and the entire supply chain.

China is a country with substantial differences in economic development, energy consumption mix, resources, and technologies, as well as the development path at the provincial level. Therefore, China’s provinces have different potential and degrees of difficulty to carry out carbon emission reduction (CER) requirements. In addition, interprovincial trade, with a large amount of embodied carbon emissions, has become the fastest growing driver of China’s total carbon emissions. A reasonable CER allocation plan is, therefore, crucial for realizing the commitment that China announced in the Paris Agreement. How to determine a fair way to allocate provincial CER duties has become a significant challenge for both policy-makers and researchers. In this paper, ecological network analysis (ENA), combined with a multi-regional input-output model (MRIO), is adopted to build an ecological network of embodied emissions across 30 provinces. Then, by using flow analysis and utility analysis based on the ENA model, the specific relationships among different provinces were determined, and the amount of responsibility that a certain province should take quantified, with respect to the embodied carbon emission (ECE) flows from interprovincial trade. As a result, we suggest a new CER allocation plan, based on the detailed data of interprovincial relationships and ECE flows.

Owing to the rising concerns about environmental degradation worldwide, firms in several developed and developing countries are pursuing carbon emission reduction targets. In addition, in recent years, there is evidence of a shift in consumer preferences in favour of low-carbon products. Using a theoretical model, where the shift in consumer preferences is explicitly incorporated, we evaluate the impact of carbon emission reduction cost-sharing on supply chain profit. In our model, consumers are willing to pay a higher price for low-carbon products and hence the retailer considers sharing the cost of carbon emission reduction with the manufacturer. Our model also includes a carbon trading mechanism. We identify a range of carbon emission reduction cost-sharing such that both supply chain enterprises are better-off. We find that, while achieving the aim of carbon emission reduction, consumer preference for low-carbon products can benefit both supply chain enterprises. Numerical simulations show that carbon emission reduction cost-sharing increases the retailer’s order quantity as well as the profit and hence there is an incentive for the two supply chain enterprises to cooperate.

Driving enterprises to implement carbon emission reduction actions and reduce carbon emissions is a crucial research topic in achieving the carbon peaking and carbon neutrality goals. As a significant external environment factor influencing corporate behavior, can institutional pressures effectively promote enterprises to reduce carbon emissions? This study aims to probe into the impact and mechanism of three institutional pressures, namely coercive, mimetic, and normative, on corporate carbon emissions, taking Chinese-listed companies as the research object. The results indicate that coercive pressure is positively associated with corporate carbon reduction, while normative pressure has no significant impact. Furthermore, mimetic pressure impedes corporate carbon emissions. The mechanism test shows that carbon reduction is a mediator in the influence exerted by three institutional pressures on corporate carbon emissions. In response to coercive pressure and mimetic pressure, enterprises tend to reduce their carbon emissions by cultivating concepts related to carbon emission reduction. Concepts related to carbon reduction play a more dominant role than carbon reduction actions when both are mediators, with the former even replacing the latter. This research provides a new perspective for improving corporate environmental performance and corporate sustainability.

The purpose of this paper is to explore whether the implementation of carbon emissions trading policy (CETP) promotes carbon finance, proxied by investment and financing facilitating carbon emissions reduction (IFCER), and reduces carbon emissions. Evidence shows that first, CETP is effective in stimulating IFCER and reducing carbon emissions. Second, the effects of CETP persist over time. Third, the effects of CETP taking effect in pilot regions can spill over to non-pilot regions nearby. Fourth, the effect is more pronounced in eastern and wealthy regions. Finally, R&D and industrial upgrading have a mediating effect linking CETP to IFCER and carbon emissions.

The decarbonization of power systems plays a great part in the carbon neutrality goal. Currently, researchers have explored reducing carbon in power systems in terms of the optimization of energy supply structure and operation strategies, but ignored the carbon reduction potential of users. To investigate the carbon reduction capability of users and further promote power system decarbonization through the active response of electricity loads, this paper proposes a carbon-reduction-oriented demand response (CRODR) technology based on generalized nodal carbon emission flow theory. First, the framework of the CRODR mechanism is established to provide an interaction baseline for users facing carbon reduction guiding signals. Secondly, the generalized nodal carbon emission flow theory is introduced to provide a calculation method for the guiding signals, considering dynamic electricity carbon emission factors with various spatiotemporal resolutions. Then, a matrix-based method is proposed to efficiently solve the carbon emission flow and obtain the guiding signals. On this basis, an optimal load-regulating model to help users meet their carbon reduction goals is built, and a carbon reduction benefit-evaluation method is proposed. Case studies on China’s national power system and a textile company verify that CRODR technology can realize efficient carbon reduction through load shifting while maintaining the total power consumption of users. The proposed CRODR technology is expected to provide a theoretical basis and guiding mechanism for promoting carbon reduction throughout the entire power system.

This paper aims to establish a more standardized and regulated carbon emission accounting model for sponge cities by unifying the accounting content for carbon emissions and clarifying the relationships between carbon reduction benefits, carbon reduction effects, and carbon sequestration, in order to evaluate the carbon reduction outcomes and mechanisms of sponge city construction. Based on a Life Cycle Assessment (LCA) carbon emission accounting model using the carbon emission factor method, a newly constructed residential area in Tianshui City, Gansu Province, was selected as a case study, and the carbon emission reduction effect of sponge city construction was then investigated. Results indicated that the 30-year full life cycle carbon emissions for sponge city construction in the newly constructed residential area amounted to 828.98 tons, compared to 744.28 tons of CO2 reduction in traditional construction, representing a 47.31% reduction in carbon emissions. Over a 30-year life cycle, this equated to a total carbon emission reduction effect of 1460.31 tons. Additionally, under various rainfall scenarios in a typical year, the carbon emission reduction effect of sponge city construction exceeded the carbon emissions, achieving carbon neutrality within 22 to 30 years of operation. This demonstrates that the carbon emission reduction effect of sponge city communities is significant. The findings of this study provide data and a theoretical basis for the low-carbon construction of sponge cities in China.

With the in-depth advancement of the Beijing–Tianjin–Hebei coordinated development strategy, establishing a new mechanism for coordinated development in regional coordinated development is an important measure to realize the green, low-carbon and sustainable development of the Beijing–Tianjin–Hebei urban agglomeration. At present, there are significant differences in carbon emission intensity among different cities in the Beijing–Tianjin–Hebei urban agglomeration, which poses a significant obstacle to the synergistic development goals of the Beijing–Tianjin–Hebei region. Therefore, studying the carbon emissions of the Beijing–Tianjin–Hebei urban agglomeration is of great significance for achieving synergistic development in the Beijing–Tianjin–Hebei region and achieving China’s dual carbon goals. Based on the above practical background, this study focuses on the carbon emissions of the Beijing–Tianjin–Hebei urban agglomeration, using the gravity model, the social network analysis method, and the synergistic effects of carbon emission reductions model to analyze the general characteristics of the carbon emission spatial network, individual characteristics of the carbon emission spatial network, and synergistic effects of carbon emission reduction in the Beijing–Tianjin–Hebei urban agglomeration. The study found that the carbon emission spatial network of the Beijing–Tianjin–Hebei urban agglomeration presents a typical core–periphery structure. From the perspective of the general characteristics of the spatial network, the ranking structure of carbon emissions among cities in Beijing–Tianjin–Hebei is strict, and the network stability is good; from the perspective of individual characteristics of the spatial network, Beijing and Tianjin are the centers of the carbon emission spatial network of the Beijing–Tianjin–Hebei urban agglomeration, playing an important role of “betweenness” and “bridge”, while cities in Hebei Province are in a weak position in this regard. From the perspective of the measurement result of synergistic effects of carbon emission reduction, there is significant room for improvement in the synergistic effects of carbon emission reductions in the Beijing–Tianjin–Hebei urban agglomeration, and there are significant differences in the synergistic effects of carbon emission reduction among various cities. In general, at this stage, the core–periphery structure of the spatial network of carbon emissions in the Beijing–Tianjin–Hebei urban agglomeration is still solid, and the synergistic effects of carbon emission reduction between cities are weak. Establishing a sound synergistic mechanism of regional carbon emission reduction is the key to solving the carbon emission problem of the Beijing–Tianjin–Hebei urban agglomeration. Therefore, this study proposes countermeasures and suggestions to improve the synergistic mechanism of the reduction in carbon emissions in the Beijing–Tianjin–Hebei urban agglomeration from three levels—the formation layer, the implementation layer, and the guarantee layer—in order to promote synergistic emission reduction, ecological and environmental governance, and sustainable development of Beijing–Tianjin–Hebei urban agglomeration.