Under the interactive background of more emphasis on low-carbon and environmentally friendly agricultural production modes and the coordinated development of agricultural foreign trade, China is paying more and more attention to the coordination between agricultural trade, economic development and ecological agriculture development. This paper selects the relevant data of China from 2002 to 2020 as the research object. Taking the agricultural carbon emission intensity as an indicator of environmental pollution, measuring it and then constructing a time series model for analysis, the research finds that, in the long run, the increase in agricultural carbon emission intensity in China will reduce the level of agricultural trade by 2%, which will also lead to a decline in the overall development level of the agricultural economy by 2 to 4 percent. At the same time, this paper also finds that the current situation of China’s agricultural trade reduces the development of China’s agriculture by 1%, which will also lead to an increase in agricultural carbon emission intensity by about 0.5%. Finally, this paper finds that the development of the agricultural economy makes the overall increase in agricultural trade 2%, and with the development of the agricultural economy, the agricultural carbon emission intensity decreases by 0.1%, but the impact is small. Therefore, it is necessary to improve the construction of a leadership mechanism, implement the development strategy of low-carbon agriculture and provide corresponding financial security and other policy suggestions to promote the coordinated development of China’s agricultural trade and low-carbon agricultural production environment.

The development of park cities is an important exploration for better satisfying people’s aspirations for a better life, promoting sustainable social development, and advancing the transformation of green ecological values. As a basic industry for sustainable development, the combination of agriculture and urban development is an important way to build an ecological civilization. Clarifying the relationship between a park city and green development of agriculture is of great significance to the construction of a green base and ecological system of the city, sustainable development of agriculture, and integrated development of urban and rural areas. Chengdu is a mega-city in western China, and the Chengdu-led park city development program is unique in Chinese urban development. Chengdu’s park city development is a pioneering example of urban ecological civilization construction. Taking Chengdu as an example and combining the data of other prefecture-level cities in Sichuan, this study explored the correlation and interaction between agricultural green development (AGD) and park city development (PCD) in Chengdu and other prefecture-level cities in Sichuan from 2011 to 2022 based on the coupling coordination degree, gray correlation degree, and spatial autocorrelation analysis. The results showed the following: (1) Based on the entropy method, the level of AGD in Chengdu rises from 0.353 in 2011 to 0.537 in 2022, and the level of PCD rises from 0.368 to 0.826. The level of AGD and the level of PCD as a whole show an upward trend. (2) The degree of coupling and coordination between the PCD and AGD levels rises from 0.600 to 0.816, realizing the leap from coordination to good coordination, and the degree of coupling has been at a high level. (3) Based on the grey correlation degree, in the process of the influence of AGD on the PCD, the correlation degree of the influencing factors of each indicator is basically above 0.5, and each influencing factor has a strong contribution to the level of the PCD. (4) Spatial self-analysis shows that the coupling coordination degree of AGD and PCD in a region is affected by the neighboring region. Therefore, we believe that AGD plays a more obvious role in driving and radiating PCD and that it can effectively promote the economic, social, and ecological upgrading in the process of PCD.

Grassroots community governance has gained increasing attention for its vital role in resource integration and multi-actor collaboration. As an innovative governance model, the “Five-Sector Linkage” (FSL) mechanism enhances service efficiency by aligning the efforts of communities, social organizations, social workers, volunteers, and philanthropic actors. However, quantitative research on interaction dynamics within such mechanisms remains insufficient, particularly regarding the optimization of collaborative networks for improved governance outcomes. This study applies Social Network Analysis (SNA) to the “After-School Program” project in Community B, Chengdu, to examine the structural features and interrelations of multi-actor cooperation under the FSL framework. The collaboration network consists of 39 nodes and 1482 links, with a density of 0.370 and an average path length of 1.632, indicating efficient communication and moderate cohesion. Degree and betweenness centrality analyses identify social workers (C1–C3) as key hubs, with C2 holding the highest bridging role (B_C = 81.401). The overall network shows low centralization (4.19%) and limited heterogeneity (2.74%), reflecting a polycentric and resilient structure. Inter-sectoral analysis showed that all nodes interacted with at least one social worker, while community actors (A1, A2) engaged broadly across 18 nodes. Volunteers maintained extensive grassroots connections, while philanthropic resources formed selective but strategic links with 13 nodes. These findings provide empirical insights into the coordination logic of the FSL mechanism and offer guidance for building adaptive, decentralized community governance networks. Future research should explore longitudinal dynamics and cross-community comparisons to further enhance the applicability of the model.