HUBEI AGRICULTURAL SCIENCES ›› 2024, Vol. 63 ›› Issue (7): 244-249.doi: 10.14088/j.cnki.issn0439-8114.2024.07.039

• Rural Revitalization • Previous Articles     Next Articles

The configuration path of digital economy driving rural revitalization under fuzzy set qualitative comparative analysis method

YAO Qian   

  1. School of Marxism, Xi'an Open University, Xi'an 710042,China
  • Received:2024-02-21 Online:2024-07-25 Published:2024-07-24

Abstract: Using four sub indicators and two intermediate variables as conditional variables to construct a comprehensive evaluation index for the digital economy, the fuzzy set qualitative comparative analysis method was used to explore the configuration path. According to the entropy method, the comprehensive score of the development level of the digital economy showed an upward trend from 2016 to 2022, with the national comprehensive score of the development level of the digital economy increasing from 0.091 in 2016 to 0.257 in 2022. The comprehensive score of rural revitalization development level showed an upward trend from 2016 to 2022, with the national comprehensive score of rural revitalization development level increasing from 0.228 in 2016 to 0.394 in 2022. In the necessity validation of conditional variables, the consistency results were all below 0.900, indicating that all conditional variables were not necessary conditions for the outcome variables. In the adequacy verification, the original coverage of configuration path R1 was 0.513, the original coverage of configuration path R2 was 0.327, and the overall coverage was 0.566, indicating that both conditional configurations could explain the reasons for the increase in rural revitalization level. In configuration path R1, development environment and human capital were the core conditions, while digital industrialization, digital finance, and technological innovation level were the marginal conditions, playing an auxiliary role, while industrial digitization had almost no effect;in the configuration path R2, the development environment, digital industrialization, digital finance, and technological innovation level were core conditions. The degree of industrial digitization was relatively low, and human capital was almost ineffective, indicating that the configuration of rural revitalization conditions had the characteristics of high digital economy and low industrial digitization. When the threshold for consistency increases, the condition configuration results of rural revitalization level remained unchanged, indicating that the model had high stability.

Key words: fuzzy set qualitative comparative analysis, digital economy, rural revitalization, configuration path

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