Measurement of New Quality Productivity Development Level and Factor Identification of Obstacle Factors Based on the Analysis of Provincial Panel Data in China

Shunfang Miao and Yanyong Hu ()
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Shunfang Miao: Center for Public Policy and Social Management Innovation, Henan Normal University, Xinxiang 453007, China
Yanyong Hu: Center for Public Policy and Social Management Innovation, Henan Normal University, Xinxiang 453007, China

Sustainability, 2025, vol. 17, issue 4, 1-21

Abstract: New quality productivity (NQP) is an important engine that promotes China’s economy in order to achieve high-quality development in the new era. The study of the measurement of the development level of NQP is conducive to accelerating its formation and development. Based on the panel data of 30 provinces in China from 2010 to 2022 and the connotation of NQP, this paper constructs an evaluation index system for the development level of NQP in Chinese provinces in four dimensions: new industry, new kinetic energy, new model, and new factor. This paper uses the entropy weight technique for order preference by similarity to an ideal solution (TOPSIS) for quantitative measurement. It also uses the Dagum Gini coefficient decomposition and kernel density estimation methods to analyze the regional differences and dynamic evolution trend of the development of NQP in China and makes a scientific diagnosis of the obstacles affecting the development of NQP. The results show that there are significant regional differences in the development of NQP in China, which are mainly driven by regional differences, resulting in a huge gap between the eastern and non-eastern regions. This study shows that the overall gap in the development level of NQP in China is gradually increasing, and there is a “Matthew effect” in which the quality of laborers is the key factor restricting the rapid development of NQP in China. This study expands the research perspective of NQP evaluation, provides valuable suggestions and guidance for government decision-making and policy-making, and is conducive to promoting the rapid development of NQP in China.

Keywords: China; new quality productivity; Dagum Gini coefficient decomposition; kernel density estimation; obstacle degree model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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