PERFORMANCE EVALUATION AND DRIVING MECHANISM OF GREEN DEVELOPMENT IN ZHEJIANG PROVINCE BASED ON PANEL DATA OF 11 CITIES
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Abstract
This thesis constructs a green development evaluation index system and examines spatiotemporal differentiation characteristics and driving mechanisms of green development across 11 prefecture-level cities in Zhejiang Province from 2008 to 2022. Methodologies include the entropy method, global Moran index, panel data regression, geographically weighted regression, and Theil index. Findings reveal: (1) significant green development disparities between Hangzhou and other cities, with slower progression of light and clean industries elsewhere; (2) polarization between Hangzhou as the northwestern core and Ningbo as the eastern coastal core, each radiating influence to neighboring cities; (3) increasing influence of economic development, industrial structure, and science and technology on green development, with decreasing influence of foreign investment and government intervention; (4) Theil index analysis shows distinct fluctuation patterns between intra-regional and inter-regional differences, with North Zhejiang consistently demonstrating higher index values than South and Middle Zhejiang throughout the study period.