Yanhu Bai

The research and application of green fertilizers have long been constrained by financial and technical barriers. Farmers’ adoption of green fertilizers is also highly dependent on government policy support. As an intermediary organization bridging the government and farmers, the STB plays a crucial role in encouraging the use of green fertilizers. In order to explore the impact of the STB’s research and development investment, as well as government intervention on farmers’ green production behavior, this paper constructs a tripartite dynamic game model involving farmers, the STB, and the government. The study systematically analyzes the decision-making mechanisms of the different stakeholders and their evolutionary paths. The results show the following: (1) Under certain conditions, the system converges to two stable states: government withdrawal (1,1,0) and continued government participation (1,1,1). (2) Government intervention shows a phased decrease. As the green fertilizer production system matures, farmers and the STB gradually form a stable collaborative mechanism. At this stage, the government shifts from direct participation to a supervisory role, with its implementation coefficient increasing to between 0.75 and 1, indicating that government supervision becomes the primary mode of action. (3) The research and development efforts of the STB are influenced by both the intensity of government support and technological breakthroughs. During periods of high-intensity government support (with a research and development investment coefficient between 0.05 and 0.15), and when technological accumulation achieves a critical breakthrough, the growth rate of investment increases significantly (the coefficient jumps to 0.15–0.3). (4) Farmers’ demand for green fertilizers is stable and consistent, and the market-oriented collaboration between the STB and farmers tends to favor green production technology, which verifies the feasibility of the government’s withdrawal of functions in the later stage of the green agricultural transformation. This study provides a scientific basis for decision-making regarding the STB’s research and development of green fertilizers, while also laying a theoretical foundation for promoting the green transformation of farmers through green fertilizer innovation.

The governance of agricultural food safety issues is closely linked to social interests. To promote food safety supervision in the Chinese agricultural markets under the background of blockchain application, this paper develops a partnership comprising vendors, consumers, and the government. Using the theory of evolutionary game combined with the actual situation of China, the evolutionary process simulations of three participants prove that the tripartite subjects can realize a stable state under the specific relationship. Impact investigation results of typical influential factors indicate the following: (1) The behavior of vendors depends on the government’s supervision and consumers’ reporting attitude. Limiting the penalty amount for vendors to 66.7% of speculative gains can shorten the processing time for vendors to comply with the law. (2) Consumers play a vital role in food safety supervision of the agricultural market. The penalty for consumers should be limited to 1/3 of the reward amount. (3) The government’s incentive-oriented and punishment-inhibited policies can promote blockchain technology in supervision. Punishment-inhibited and key influencing parameters can cooperate in obtaining the maximum regulatory benefits. The results of this study have certain reference values for promoting policy formulation and implementing blockchain technology in agricultural food safety supervision.

Economic growth in agriculture is often accompanied by environmental pollution. To overcome this dilemma, agricultural green total factor productivity is essential. The role of agricultural production agglomeration has been studied extensively; however, there is no apparent association between agricultural production agglomeration and agricultural green total factor productivity. We use the non-angular and non-radial super-efficiency slacks-based measure model and the global Malmquist–Luenberger productivity model to assess the agricultural green total factor productivity in 30 Chinese provinces from 2001 to 2019. In addition, we investigate the evolutionary trend, influence relationship, and internal mechanism between agricultural production agglomeration and agricultural green total factor productivity. The results show an inverted U-shaped relationship between agricultural production agglomeration and agricultural green total factor productivity. Heterogeneity analysis finds that this role is more pronounced in provinces located in the Yangtze River economic zone with strong fiscal support for agriculture and high levels of regional economic development. Regarding the mechanism analysis, enhancing green technology progress and the quality of rural human capital leads to an increase in agricultural green total factor productivity. Therefore, this study provides a new perspective on global carbon emission reduction and a theoretical and practical reference for realizing global agricultural green development.

A public health emergency of international concern, such as a pandemic, disrupts the normal operation of the global supply chain, which necessitates in-depth research on supply chain management. In this paper, we used bibliometric and content analysis to provide a systematic analysis of the supply chain industry from this background. The descriptive analysis provides insights into the publication growth trajectory, in terms of the contributing authors, countries, and subject categories, which presents an intuitive display of previous research. In addition, the existing research mainly covers three dimensions of supply chain disruption, strategies, and sustainability, which can be clustered into supply chain disruption, disruption recovery, reconfiguration, digital intelligence, optimization, and sustainability. By revisiting the supply chain industry, we explored the transformation of its characteristics in the pandemic, covering themes ranging from expansion to contraction, from traditional to digital intelligence, and from fragile to sustainability, which suggests potential research directions for future studies. This contributes to the further research of supply chain management during the pandemic and provides supply chain managers with a practical approach for dealing with supply chain disruption risks and improving supply chain sustainability in this context.

A low-carbon supply chain is generally a clean practice to achieve carbon peak and neutralization; it transforms supply chain management into a green economy, aiming to reduce energy consumption, reduce pollution and achieve sustainable development in all parts of the supply chain. However, there are few specific reviews of low-carbon supply chains to date. Therefore, this article provides a comprehensive analysis of the literature on low-carbon supply chains, explores the current knowledge system, evolution trend of topics, and future research directions, and enriches the green economy framework. A systematic analysis was conducted using bibliometric and content analysis. Up to 1,811 articles from 2003 to 2021 were selected, discussed, and analyzed. This study found that the low carbon supply chain is a growing research topic. Some influential authors, the geographical distribution of articles, and subject categories in this field were also identified. Next, five clusters, which are logistics management, carbon accounting, driving forces, sustainability management, and barriers, were defined using exhaustive content analysis. The evolution trend of significant topics, mainly including global value chain, additive manufacturing, deterioration, and decarbonization, was explored. Finally, we proposed a future research agenda for low-carbon supply chains and further deepened the green economy’s knowledge structure.

Facilitating the development of green agriculture is an effective way to reduce carbon emissions and achieve carbon neutrality. However, researches on the development of green agriculture are still on the way. Despite the fact that many researchers have explored and analyzed this issue, there is still a gap between stakeholders of green agricultural development combined with low-carbon policies and green preferences that has been overlooked, resulting in theory and practice being imperfect. To bridge this gap, a three-party evolutionary game model based on the government’s low-carbon policies and stakeholders’ green preferences is developed. Numerical simulations are applied to verify real-world tripartite participation. The six key parameters that influence strategic behaviour are thoroughly discussed. The findings show that: (1) appropriate subsidies policy and relatively high carbon prices are conducive to promoting the development of green agriculture; (2) The improvement of three parties’ green preference enhances people’s low-carbon awareness in the market; (3) Different levels of green preference lead to government’s uneven strategies, which depend on the relative level of its green preference and regulate cost. Finally, this study addresses how to promote green agricultural development and offers several management recommendations.