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Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: Hu, Hanqinga | Ma, Yub; * | Wu, Sijianc
Affiliations: [a] School of Economics and Management, Beijing Information Science and Technology University, Beijing, China | [b] School of Economics and Management, Beihang University, Beijing, China | [c] School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
Correspondence: [*] Corresponding author. Yu Ma, School of Economics and Management, Beihang University, 100191, Beijing, China. E-mail: hnmayu@163.com.
Abstract: It is an inevitable requirement of the realization of Chinese rural revitalizing strategies to achieve high-quality development of rural economy. In this essay, the evaluation system for high-quality development of rural economy in the new era is constructed from six dimensions, including innovative development, infrastructure, ecological environment, economic achievements, economic stability and market mechanism and the method of entropy weight-fuzzy comprehensive evaluation is adopted to measure the levels of high-quality comprehensive development of rural economy of 30 provinces and cities of China in 2017. The research finds that the dimensional weight of ecological environment is the biggest, which is 31.76%, followed by infrastructure, economic achievements, economic stability, innovative development and market mechanism from large to small. The level of high-quality development of rural economy in China is generally low and a majority of the provinces are backward. Therefore, to grasp the development status of Chinese rural economy and clarify balanced development between regions could provide basis for promoting comprehensively high-quality development of Chinese rural economy.
Keywords: High-quality development of rural economy, entropy weight, fuzzy comprehensive evaluation, measurement system
DOI: 10.3233/JIFS-179825
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7531-7539, 2020
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