Agricultural Productivity and its Spatial Spillover Effects in China
Rattachement africain : cn, ca. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
In the context of China’s pursuit of high-quality economic development, enhancing agricultural productivity is crucial for ensuring food security and promoting common prosperity. This paper constructs a systematic IV-LP-ACF-SAR econometric framework to analyze agricultural Total Factor Productivity (TFP) growth using panel data from 31 Chinese provinces spanning 2014 to 2023 (n=341 observations). The framework employs the Instrumental Variable (IV)-based Levinsohn-Petrin (LP) proxy variable method under the Ackerberg-Caves-Frazer (ACF) system to estimate a Translog production function while addressing endogeneity using multiple spatial weight matrices. TFP growth is decomposed into Technical Change (TC), Technical Efficiency (EC), and Scale Efficiency (SC). A Spatial Autoregressive (SAR) model with Dynamic Common Correlated Effects (DCCE) explores spatial spillover effects and regional heterogeneity. Results show that China’s agricultural TFP remained largely stagnant from 2014 to 2023 with an average annual growth rate of -0.18%, where Technical Efficiency decline (-0.33% annually) was the main constraint. Technical Change remained neutral, while Scale Efficiency contributed positively (+0.15% annually). Mechanization showed the highest output elasticity (0.99), while fertilizers, pesticides, and labor exhibited negative marginal returns. Spatial analysis revealed significant negative Scale Efficiency spillovers with regional patterns of “scale synergy in the Northeast/Northwest” and “efficiency synergy in East/North China.” These findings suggest that productivity policy should shift toward a dual-driver model combining efficiency enhancement and optimal scaling, with differentiated regional policies and inter-provincial coordination mechanisms necessary to mitigate negative spillovers and enhance sustainable agricultural growth quality.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Agricultural Productivity and its Spatial Spillover Effects in China
- Date Crossref
- 30/10/2025
- Éditeur
- MDPI AG
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Beijing Academy of Agriculture and Forestry Sciences pays non établi dans la noticeInstitution
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McGill University Department of Agricultural Economics pays non établi dans la noticeUniversité ou école supérieure
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Hebei GEO University pays non établi dans la noticeUniversité ou école supérieure
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Research Center for Rural Economy pays non établi dans la noticeOrganisme public
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Ministry of Agriculture and Rural Affairs China) pays non établi dans la noticeOrganisme public
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Institute of Data Science and Agricultural Economics pays non établi dans la noticeStructure de recherche
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College of Earth Sciences pays non établi dans la noticeUniversité ou école supérieure
Beijing Academy of Agriculture and Forestry Sciences, Department of Agricultural Economics — McGill University et Hebei GEO University, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.