Work

Comprehensive Measurement, Regional Differences, and Spatial Dynamic Evolution of China’s Green Technological Innovation

Year: 2025

Type: article

Abstract: This study aims to reasonably measure the level of scientific and technological innovation. The evaluation index system of scientific and technological innovation level in China is constructed from four aspects: input, effectiveness, environment, and output of scientific and technological innovation. The panel data of 30 provinces in China from 2010 to 2022 were selected, and the improved CRITIC method and fuzzy matter-element analysis method were used to comprehensively measure the scientific and technological innovation level in China. Then, the Dagum Gini coefficient, kernel density estimation, and exploratory spatial data analysis are used to explore the regional differences and spatial dynamic evolution process of China’s scientific and technological innovation level. The results show that during the sample observation period, the overall level of scientific and technological innovation in China shows an upward trend, with an average annual growth rate of 4.51%. However, the overall level is still low, with only one-third of the provinces reaching the national average level, showing “low in the west and high in the east” characteristics. From the perspective of regional differences, the overall difference in scientific and technological innovation level showed a downward trend, and regional differences were the most important source, with an average contribution rate of 62.82%. From the perspective of dynamic evolution trends, the center position and variation interval of the overall distribution curve of the country gradually moved to the right. The curve had a right-trailing phenomenon, indicating that each region’s scientific and technological innovation level was gradually improving. Still, the overall gap was narrowing, and scientific and technological innovation development showed a two-level differentiation pattern and spatial imbalance.

Source: Polish Journal of Environmental Studies

DOI: 10.15244/pjoes/205028

Authors: Kai Huang, Yong Miao, Yuling Hong, Jinxin Zhang

Institutions: Chongqing University of Arts and Sciences, Hubei University of Automotive Technology, Jimei University, Hubei University

Language: English

Topic: Regional Economic and Spatial Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: National Science Foundation