The identity of community residents is the basis for passing on the GIAHS (globally important agricultural heritage system) and promoting the sustainable development of heritage sites. However, there is a lack of discussion in the existent literature on its composition and effective mechanisms. Based on the theory of the ABC (Affect–Behavior–Cognition) model, we collected 482 questionnaires from residents of tea communities of the GIAHS. We construct a model of multiple effects of identity on willingness to co-create values based on the perspective of host–guest interaction. The results show that identity has both social identity and self-identity dimensions. It has a valuable effect on the process of host–guest interaction. It stimulates residents’ willingness to co-create value for the GIAHS through the chain-mediating effect of welcoming nature and emotional closeness. The study results reveal the theoretical mechanisms by which the identity of residents influences the multiple behaviors of guests. It also provides an interactive perspective for the study of the participation of the community in the GIAHS. At the same time, it promotes the local practice of value mining and development research in the GIAHS. In addition, it expands the research framework of value co-creation in heritage tourism.

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National modern agricultural industrial parks are the core carriers for promoting agricultural modernization. Clarifying their spatial differentiation patterns is of great significance for revealing the efficiency of resource allocation and promoting coordinated regional development. Based on the data from 338 national modern agricultural industrial parks in China, this study uses methods such as the nearest neighbor index, Voronoi spatial statistics, and spatial autocorrelation to identify their spatial distribution characteristics, and adopts the XGBoost–SHAP model to explore the nonlinear effects of driving factors. The research found the following: (1) The parks exhibit a distinct “sparse west–concentrated middle–dense east” agglomeration pattern aligned with China’s Hu Huanyong Line agro–economic divide. (2) At the municipal level, four high-density cores emerged in central-eastern regions with “dual hot spots–gradient diffusion” characteristics. (3) Farmers’ professional cooperatives and transportation accessibility are the most consistent fundamental driving elements, reflecting the transition of the development momentum of contemporary agriculture from “resource dependency” to “circulation dependence.” Heterogeneity analysis shows elevation, cooperatives and rural income differentially drive agglomeration across regions, with elevation constituting a universal constraint. (4) While regional development and mechanization show adaptive synergy, excessive urbanization generates a distinct “non–agriculturalization” crowding–out effect on agricultural development.