Measurement and Spatial Differences of New Quality Productivity Level in China’s Health Industry

Yiming Teng () and Xiujie Tian
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Yiming Teng: Harbin University of Commerce
Xiujie Tian: Harbin University of Commerce

A chapter in Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025), 2025, pp 901-915 from Springer

Abstract: Abstract In the context of the new era, in order to study the development level and regional characteristics of new quality productivity in China’s health industry, this article constructs a comprehensive evaluation index system for new quality productivity in the health industry from three dimensions: “high-quality” workers, “new media” labor materials, and “new material quality” labor objects. The entropy weight TOPSIS method is used to measure the dynamic level of new quality productivity in the health industry in 31 provinces of China from 2014 to 2023, and the Dagum Gini coefficient and Moran’s index are combined to further explore regional characteristics. Research has found that the development of new quality productivity in the health industry shows an increasing trend over time, with a development characteristic of eastern > central > northeast > western; The average Gini coefficient of new quality productivity in the health industry is relatively high but the growth is slow. Regional differences mainly come from inter regional differences, with significant differences in the East West and East Northeast regions; The development of new quality productivity in the health industry shows a positive spatial correlation, but the spatial correlation continues to weaken, and the development is gradually approaching saturation.

Keywords: New quality productivity in the health industry; Regional differences; Gini coefficient; Moran’s index (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-811-0_98

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