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WANG Ying. Measurement of Vulnerability and Analysis of Influencing Factors in the Coffee Industry Chain in Yunnan Based on Complex SystemsJ. TAIWAN AGRICULTURAL RESEARCH.
Citation: WANG Ying. Measurement of Vulnerability and Analysis of Influencing Factors in the Coffee Industry Chain in Yunnan Based on Complex SystemsJ. TAIWAN AGRICULTURAL RESEARCH.

Measurement of Vulnerability and Analysis of Influencing Factors in the Coffee Industry Chain in Yunnan Based on Complex Systems

  • Objective/Meaning  The intensification of global multiple pressures has led to the vulnerability of the coffee industry chain. The assessment and cause analysis of the vulnerability level of the coffee industry in Yunnan Province can provide a scientific basis for strengthening the industrial resilience and ensuring the regional economic security.
    Methods/Procedures  Based on the complex system theory, a three-dimensional framework of “exposure-sensitivity-adaptability” was constructed. By using the panel data of 7 major coffee-producing prefectures and cities in Yunnan Province from 2019 to 2024, the entropy weight method, comprehensive index method, factor analysis and stepwise regression were adopted for the measurement and attribution analysis.
    Results/Conclusions  The results showed that the overall vulnerability of the coffee industry chain in Yunnan Province was relatively high, and the spatial pattern was “higher in the west and lower in the east, stronger in border areas and weaker in central regions”. Four principal factors of industrial scale and benefit, cost market sensitivity, organizational and risk resilience capacity, and disaster exposure were extracted by factor analysis. The regression analysis identified the unit production costs, dependence on the international market, and the status of training reception and research leaning as the core influencing factors. Accordingly, the systematic countermeasures were put forward from the aspects of resilience governance, spatial optimization, organizational improvement, and industrial transformation.
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