In the era of globalization, food has transformed from merely a matter of human existence into a factor in the competition of capitalist powers striving to dominate and control the world. This issue has gradually evolved into a game of power over the control of the global food market, leading to contradictory phenomena such as the coexistence of food shortages and food waste, as well as hunger and obesity. The outbreak of the food crisis is not due to insufficient supply, but rather due to unequal distribution. From both national and international perspectives, the essence of the imbalance in the food distribution system is food hegemony. On the international level, developed countries led by the United States rely on food hegemony, forming a triad with energy hegemony and financial hegemony, manipulating the global food market through multiple means. Internally, a sandglass-shaped food system dominated by monopoly capital exploits farmers and consumers at both ends, leading to food hegemony among domestic classes. From the reasons behind the emergence of food hegemony, on the one hand, the profit-seeking nature of capital under capitalism is the core driving force; on the other hand, the inequality of the international political and economic order provides the breeding ground for food hegemony. To resolve the food crisis and establish a fair and reasonable global food system, it is necessary to redistribute food-related resources and rights, allowing food to truly return to meeting the basic survival needs of humanity and achieving distributive justice in the global food field.

Promoting income growth among farmers is at the heart of the issues relating to agriculture, rural areas, and farmers. Along with the continuous promotion of rural property rights system reform, the development and growth of the rural collective economy plays an important role in realizing the balanced growth of rural household income. However, at present, the academic research on the income distribution effect and its dynamic change of rural collective economic development from the national regional level is still insufficient.  Therefore, in this paper, we make use of the mixed cross-section data of the two phases of the China Rural Revitalization Survey (CRRS) in 2020 and 2022 to explore the impact of  the rural collective economy on the income inequality of rural households, and the interaction effect between the supply of public goods and the attraction of market elements.  The results show that rural collective economy is conducive to alleviating income inequality among rural households, and this finding remains robust after a series of tests such as propensity score matching, instrumental variable modeling, and replacement of explanatory variables. Mechanism analysis shows that the rural collective economic development mitigates income inequality among rural households by improving the supply of rural public goods and attracting industrial and commercial capital to the countryside. Heterogeneity analysis shows that the development and expansion of rural collective economy is conducive to increasing the property income, wage income, and transfer payment income of rural households. In addition, the effect of developing rural collective economy on income inequality varies according to policy support, and political trust. Therefore, it is important to continue to deepen the reform of the collective property rights system in rural areas, to innovate the business model of the collective economy, to give full play to the poverty-alleviating functions of the collective economy, and to further improve the pattern of income distribution within the countryside.

Enhancing supply chain resilience has become a critical challenge for the sustainable development of the fresh produce industry. However, existing research predominantly focuses on macro-level supply chain analyses, primarily employing panel data from enterprises for quantitative studies, while lacking comprehensive digital empowerment initiatives that enable end-to-end supply chain exploration. In light of this, this paper examines the supply chain resilience of fresh agricultural enterprises from an integrated perspective, categorizing it into five core capabilities: predictive capacity, resistance capacity, recovery capacity, adaptive capacity, and growth capacity. Using W Company as a case study, it conducts an in-depth analysis through grounded theory, identifying one core dimension, four key dimensions, and 15 sub-dimensions, finally constructs a digital empowerment theoretical model for enhancing agricultural supply chain resilience, encompassing dimensions such as digital infrastructure development, refined management practices, and supply chain collaboration mechanisms. Meanwhile, it carries out empirical tests using questionnaire survey data. The study finds that the digital construction of fresh agricultural product supply chains can significantly and positively promote the improvement of supply chain resilience; supply chain collaboration and refined operation are key mediating variables through which digitalization acts on supply chain resilience, and both play an undifferentiated partial mediating role in the relationship where digitalization positively affects supply chain resilience. The paper aims to provide path guidance for fresh agricultural product enterprises to enhance the risk resistance of their supply chains through digital strategic deployment, collaborative network construction, and refined management practices, also supplement micro-level case evidence for the theoretical research on digital technology empowering the resilience construction of agricultural supply chains. 

With the vigorous development of the digital economy, new forms of employment have shown strong vitality, and the new employment group has become an important force in promoting social development. However, the loose organizational connections, lack of rights protection, and prominent social risks of new business models pose challenges to the traditional governance system. This paper systematically analyzes the connotation, characteristics, and development difficulties of the new employment group, and combines the policy practices and typical cases of China’s four main first-tier cities to explore the path of policy coordination and optimization. Research has found that the new employment group can be divided into three categories: platform service providers, platform flexible employment personnel, and platform online contract workers. Their core characteristics are characterized by loose organization, flexible employment, weakened labor relations, and insufficient social security. In response to the multiple governance challenges faced by the new employment group, China’s main first-tier cities have explored beneficial governance experiences, including establishing a dense and effective organizational system, improving a multi-level service system, enhancing professional ethics, guiding participation in social governance, and strengthening government enterprise collaboration. This provides many inspirations for promoting high-quality development of the new employment group and modernizing urban governance.

Strengthening financial regulation is an important way to discover financial risks, maintain financial security, enhance regional economic resilience and ultimately achieve high-quality regional economic development. Based on panel data from 30 provinces in China from 2013 to 2022, this paper constructs spatial durbin model to explore the impact of financial regulation on the resilience of regional economies. Financial regulation has a promoting effect on regional economic resilience and can enhance economic resilience across regions.  Strengthening financial regulation not only improves the economic resilience of the region itself,  but also generates positive spillover effects on the economic resilience of neighboring regions, with this effect being more pronounced in eastern China.  Finally, based on the research findings, policy recommendations for enhancing regional economic resilience through financial regulation are proposed at both the overall and sub-regional levels.

The establishment of green financial reform and innovation pilot zones is one of China’s key green financial policies and a powerful tool for achieving the carbon peaking and carbon neutrality goals. Based on this, this paper uses panel data of 281 cities from 2011 to 2021 and applies a multi-period difference-in-differences model to explore the carbon emission reduction effects of green financial reform and innovation pilot zone policies. The findings reveal that the policy of establishing green finance reform and innovation pilot zones can significantly reduce urban carbon emission intensity and generate spillover effects on surrounding areas through spatial spillover. Heterogeneity analysis indicates that the carbon emission reduction effects of the policy are more pronounced in large cities, non-resource-based cities, and cities with lower levels of economic development. Mechanism analysis further reveals that the policy can suppress urban carbon emission growth by promoting industrial agglomeration and improving energy efficiency. This study provides new evidence for assessing the carbon emission reduction effects of green financial reform and innovation pilot zone policies and also offers experience-based support for further promoting pilot zone policies.

Against the backdrop of the accelerated global climate governance and the in-depth implementation of China’s carbon peaking and carbon neutrality strategy, fiscal and tax policies, as the core policy tools for promoting carbon emission governance, their synergy with carbon reduction urgently needs scientific assessment. This paper breaks through the static limitations of traditional regression analysis and introduces the coupling coordination degree model to dynamically track the evolution path of the fiscal and tax-emission reduction system from conflict to synergy. It aims to systematically reveal the interaction mechanism and spatial coordination laws between fiscal and tax policies and the carbon emission system, providing theoretical basis and policy implications for improving the green fiscal and tax system. Based on the system synergy theory and the framework of spatial econometrics, a coupling coordination degree model of the fiscal and taxation policy system and the carbon emission system was constructed. The entropy value method was used to accurately measure the panel data of 21 prefecture-level cities in Guangdong Province from 2019 to 2023. Through the construction of fixed effect models, spatial Durbin models (SDM), and Moran index tests, the spatio-temporal differentiation characteristics, internal driving mechanisms, and spatial spillover effects of the coordinated development of the two systems are deeply analyzed,  the spatial matching rules of fiscal and taxation tool allocation and regional emission reduction targets are revealed, then, through threshold analysis and regional differences, differentiated policies are designed. The research findings suggest that the overall level of synergy between China’s fiscal and taxation policies and the carbon emission system of Guangdong has been on the rise, but there is a significant regional disparity, expenditure on science and technology and green taxation have emerged as key policy levers driving coordinated development, the spatial spillover effect exhibits a dual characteristic of “core radiation-peripheral suction”, while to achieve a threshold of coordination, it is necessary to rely on the coordinated promotion of a systematic policy combination. Based on the empirical findings, the paper proposes actionable policy recommendations across five key dimensions: advancing systematic optimization of the green tax system, implementing region-specific precision regulation through differentiated green taxation policies, enhancing synergistic effectiveness via optimized fiscal and tax instrument combinations, improving the precision of green tax incentives, and strengthening fiscal policy support for low-carbon transition.