{"title":"How does agricultural resilience in China vary by region?","authors":"Yuzhen Yang , Pengfei Feng , Jin Guo","doi":"10.1016/j.ecolind.2025.113513","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding regional variation in agricultural resilience is crucial for promoting sustainable agricultural practices. However, research on the extent of agricultural resilience and its determinants in different regions of China remains limited. This study utilized data from the China Economic and Social Big Data Research Platform to extract relevant indicators, applied the entropy weight method to calculate indicator weights, and conducted an analysis of regional variations in agricultural resilience and its driving factors across 344 cities in China. The findings reveal a significant increase in agricultural resilience, rising from 0.158 to 0.330, with a consistent upward trend (P < 0.05). The spatial distribution of agricultural resilience demonstrates marked heterogeneity and clustering, with high-resilience areas predominantly concentrated in economically advanced coastal regions, while low-resilience areas are primarily located in less-developed western provinces. Key determinants of agricultural resilience include infrastructure, healthcare, education, technological advancements, and natural environmental factors, but the significance of these factors vary by region. This study underscores the necessity of region-specific strategies to enhance agricultural resilience, and emphasizes the integration of infrastructure development, localized agricultural education, and telemedicine systems to strengthen agricultural resilience. These findings offer insights for fostering resilient agriculture in China and other developing countries.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"174 ","pages":"Article 113513"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25004431","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding regional variation in agricultural resilience is crucial for promoting sustainable agricultural practices. However, research on the extent of agricultural resilience and its determinants in different regions of China remains limited. This study utilized data from the China Economic and Social Big Data Research Platform to extract relevant indicators, applied the entropy weight method to calculate indicator weights, and conducted an analysis of regional variations in agricultural resilience and its driving factors across 344 cities in China. The findings reveal a significant increase in agricultural resilience, rising from 0.158 to 0.330, with a consistent upward trend (P < 0.05). The spatial distribution of agricultural resilience demonstrates marked heterogeneity and clustering, with high-resilience areas predominantly concentrated in economically advanced coastal regions, while low-resilience areas are primarily located in less-developed western provinces. Key determinants of agricultural resilience include infrastructure, healthcare, education, technological advancements, and natural environmental factors, but the significance of these factors vary by region. This study underscores the necessity of region-specific strategies to enhance agricultural resilience, and emphasizes the integration of infrastructure development, localized agricultural education, and telemedicine systems to strengthen agricultural resilience. These findings offer insights for fostering resilient agriculture in China and other developing countries.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.