Data-Driven Green Development Efficiency of Regional Sci-Tech Finance: A Case Study of the Yangtze River Delta. (29th August 2022)

• Record Type: Journal Article
• Authors: Wang, Yuan; Liu, Hongjun; Zhou, Shuling; Liu, Fan; Yang, Yaliu; Zhu, Juan; Xu, Yi
• Other Names: Pereira A. M. Bastos Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2022(2022)
• Publication Date: 2022-08-29
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2022/3408342
• Languages: English
• ISSNs: 1024-123X

Abstract

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.