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Data-Driven Green Development Efficiency of Regional Sci-Tech Finance: A Case Study of the Yangtze River Delta

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  • Yuan Wang
  • Hongjun Liu
  • Shuling Zhou
  • Fan Liu
  • Yaliu Yang
  • Juan Zhu
  • Yi Xu
  • A. M. Bastos Pereira

Abstract

Green development is an important connotation of high-quality development and is one of the goals of scientific and technological innovation. This study constructs a data-driven measurement model of the green development efficiency of regional sci-tech finance, measures the green development efficiency of sci-tech finance by using the super-slack-based measure model, and deeply analyses and evaluates the changes in green development efficiency of regional sci-tech finance by calculating Malmquist index. This study calculates the green development efficiency of sci-tech finance in the Yangtze River Delta. Results show that the green development efficiency of sci-tech finance in the Yangtze River Delta is on the rise as a whole and maintains an efficient state, but differences are observed between provinces and cities. This study provides theoretical and methodological support for the evaluation of the green development efficiency of regional sci-tech finance and serves as reference for policy makers and researchers of sci-tech finance.

Suggested Citation

  • Yuan Wang & Hongjun Liu & Shuling Zhou & Fan Liu & Yaliu Yang & Juan Zhu & Yi Xu & A. M. Bastos Pereira, 2022. "Data-Driven Green Development Efficiency of Regional Sci-Tech Finance: A Case Study of the Yangtze River Delta," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, August.
    • Handle: RePEc:hin:jnlmpe:3408342
    DOI: 10.1155/2022/3408342
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