Quantitative Measurement and Spatial Characteristics of the Green Innovation Effect of High-Tech Industrial Agglomeration in Fujian Province China

DOI: https://doi.org/10.62517/jse.202611410

Author(s)

Chenxuan Wang1,*, Wanping Huan1, Li Chen2, Can Tu2

Affiliation(s)

1Xiamen University of Technology, Xiamen, Fujian, China 2Anhui Jianzhu University, Hefei, Anhui, China *Corresponding Author

Abstract

Based on the panel data of Fujian Province from 2010 to 2023, this study uses the spatial specialization measure to calculate the massment degree of advanced-edge sectors and the Super-SBM formulation to compute the ecological advancement effectiveness, aiming to explore the effect and spatial dynamic characteristics of advanced-edge sectors massment on Ecological Advancement in Fujian (FJ) Area. The results show that from 2010 to 2023, the congregation of high-tech sectors in FJ Area showed a steady upward trend as a whole, but there were significant differences in agglomeration levels among regions with different evolutionary characteristics. The average value of Ecological Advancement proficiency of advanced-edge sectors in Fujian Province from 2010 to 2023 was about 0.48, which was the lowest in 2010 (only 0.324) and the highest in 2016 (That is 0.652). The median Ecological Advancement proficiency in southern Fujian and eastern Fujian ranked the top two, which were higher than the provincial average, while the average green innovation efficiency in western FJ, northern FJ and central FJ were all lower than the provincial average. The overall fluctuation range of Fujian Province was small, but the fluctuation range of northern Fujian was relatively large. In addition, the congregation intensity extent of advanced-edge sectors in FJ Area and the Ecological Advancement proficiency showed a synchronous upward direction, and there existed a pronounced beneficial correlation between them.

Keywords

Congregation of Cutting-Edge Sectors; Ecological Advancement Proficiency; Super-SBM; Fujian; Quantitative Measurement

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