ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1570357
This article is part of the Research TopicOptimizing Natural Features and BMPs in Agroecosystems Through a One-Health ApproachView all 6 articles
A study of spatial spillover effects of rural human capital on agroecological well-being performance: Based on empirical data analysis at the provincial in China
Provisionally accepted
Xiaoyuan Li
Yule Jin*- Jiangxi Normal University, Nanchang, China
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Introduction: Agroecological well-being performance (AWP) plays a crucial role in fostering sustainable agricultural development and improving overall human welfare. The enhancement of rural human capital is a key factor in bolstering AWP, offering substantial support for its improvement.Methods: This study utilizes data from 30 provincial regions in China over the period from 2011 to 2022 to assess AWP using the super-efficient SBM model. The spatial Durbin model is employed to analyze the spatial spillover effects of rural human capital on AWP and to explore the underlying mechanisms of its influence.The findings indicate that improvements in rural human capital have a significant positive impact on AWP, with notable spatial spillover effects. Heterogeneity analysis show that rural human capital significantly enhances AWP in regions with steep topography. In contrast, in Main Grain-Producing Areas (MGPAs), the contribution of rural human capital to AWP is more localized, with limited cross-regional spillover effects. Mechanism analysis further suggests that the development of digital inclusive finance effectively supports high human capital groups in enhancing AWP, while resource mismatches act as a barrier to the full potential of rural human capital in improving AWP. These insights provide valuable guidance for advancing AWP across regions.
Keywords: rural human capital, agroecological well-being performance, Digital inclusive finance, resource mismatch, Spatial spillover effects
Received: 03 Feb 2025; Accepted: 25 Apr 2025.
Copyright: © 2025 Li and Jin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yule Jin, Jiangxi Normal University, Nanchang, China
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