TEMPORAL AND SPATIAL PATTERNS OF AGRICULTURAL ECONOMIC RESILIENCE IN CHINA

ผู้แต่ง

  • Yuan Hu Faculty of Economics, Maejo University
  • Nirote Sinnarong Faculty of Economics, Maejo University
  • Ke Nunthasen Faculty of Economics, Maejo University
  • Kittawit Autchariyapanitkul Faculty of Economics, Maejo University

คำสำคัญ:

Agricultural Economic Resilience, Entropy Method, Spatiotemporal Evolution, Spatial Autocorrelation, China

บทคัดย่อ

Agricultural economic resilience is vital for national food security and sustainable agricultural development. Using panel data from 31 Chinese provinces from 2011 to 2022, this study constructs an Agricultural Economic Resilience (AER) evaluation framework based on resistance, adaptability, and transformative capacity. The entropy method was applied to measure provincial AER levels and analyze their temporal evolution, regional disparities, and spatial correlations.                                                                                                     

            The results indicated that China’s agricultural economic resilience generally improved over time, while significant regional differences remained. Central China exhibited relatively high resilience, eastern regions showed steady enhancement, and western regions displayed considerable development potential. Moreover, AER demonstrated significant positive spatial autocorrelation, with "high-high" clusters concentrated in eastern coastal areas and "low-low" clusters mainly located in western regions and parts of Northeast China.                     

          These findings provided empirical evidence for regionally differentiated agricultural policies and the enhancement of agricultural security

เอกสารอ้างอิง

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2026-04-27

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