An Evaluation and Similarity Analysis of Provincial Green Development Levels in China Using Grey Relational Analysis  

作　　者：Fan Bo Chen Qian 

机构地区：[1]Chongqing Normal University

出　　处：《Contemporary Social Sciences》2025年第1期47-68,共22页当代社会科学(英文)

摘　　要：Green development is vital for bringing about high-quality development,which makes measuring and comparing provincial green development levels essential.This study calculates the comprehensive green development scores using panel data from 30 Chinese provinces and autonomous regions(2013-2022)and a combined subjective-objective weighting method.It also innovatively establishes a grey relational degree matrix and a grey improvement sequence to analyze provincial similarities and identify benchmarks for improvement.The results indicate that ecological and environmental protection holds the highest weight among the primary indicators.Beijing,Shanghai,Tianjin,Zhejiang,and Jiangsu lead in green development,with Shanghai,Beijing,and Tianjin exhibiting distinct development trajectories,while Guizhou and Yunnan share a similar trend.Zhejiang and Shaanxi have prominent benchmarks for improvement,while some provinces dynamically adjust their targets.The results suggest that advanced regions should further refine their green development pathways to align with their specific contexts,while less-developed regions should adaptively learn from the appropriate benchmarks and periodically reassess their strategies.This study provides scientific guidance for regional green development planning,policymaking,and benchmarking,thus contributing to sustainable regional development.Furthermore,it lays a foundation for future research to expand into broader datasets,scales,influencing factors,and policy evaluations.

关 键 词：green development grey relational degree grey relational degree matrix grey improvement sequence benchmark for improvement 

分 类 号：F124.5[经济管理—世界经济] X22[环境科学与工程—环境科学]