The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River  Delta Region of China

Hongjie Fan; Kai Wang

doi:10.9734/ajpas/2022/v17i330422

Research Article Open access CC BY 4.0

The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River Delta Region of China

Hongjie Fan, Kai Wang

Asian Journal of Probability and Statistics · pp. 1–10 · Published 4 May 2022

10.9734/ajpas/2022/v17i330422

Abstract

Combining China's development concepts of innovation, coordination, green, openness and sharing, the paper constructs a high-quality development measurement system of Yangtze River Delta of China, which contains five dimensions: the optimization of economic structure, the efficient allocation of resource, the stable growth of economic, the regional development coordination and the presentation of economic achievements. Using 2019 municipal data, the entropy weighted TOPSIS method was used to statistically measure the level of high-quality development level of 27 cities in the Yangtze River Delta region. And four categories of cities, namely excellent, good, normal and lagging, were classified. The results show that Shanghai has the highest level of high-quality development, and most cities have lower scores in the subsystem of the stable growth of economic. Finally, this paper makes targeted reasonable suggestions for cities, especially the lagging cities.

High-quality development Yangtze River Delta of China entropy weight TOPSIS method statistical measurements

References (3)

1 A Contribution to the Theory of Economic Growth [DOI]
2 The Convergence Analysis of Regional Growth Differences in China: The Perspective of the Quality of Economic Growth* [DOI]
3 Effect of equity in education on the quality of economic growth: evidence from China

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Hongjie Fan, Kai Wang (2022). The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River Delta Region of China. Asian Journal of Probability and Statistics , 1–10. https://doi.org/10.9734/ajpas/2022/v17i330422

Affiliations

Hongjie Fan — Institute of Statistic and Applied Mathematics, Anhui University of Finance and Economics, No. 962, Cao Shan Road, Bengbu city, Anhui Province, 233030, China.
Kai Wang — Institute of Statistic and Applied Mathematics, Anhui University of Finance and Economics, No. 962, Cao Shan Road, Bengbu city, Anhui Province, 233030, China.

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