中国碳生产率动态演进规律与驱动因素研究  

Dynamic Evolution of Carbon Productivity in China and Driving Factors

作　　者：光峰涛 李琳[1,2] 洪水峰[1] GUANG Feng-tao;LI Lin;HONG Shui-feng(School of Economics and Management,China University of Geosciences,Wuhan 430078;Research Center of Resources and Environmental Economics,China University of Geosciences,Wuhan 430078)

机构地区：[1]中国地质大学经济管理学院,武汉430078 [2]中国地质大学资源环境经济研究中心,武汉430078

出　　处：《软科学》2023年第12期49-56,共8页Soft Science

基　　金：国家社会科学基金项目(22FGLB2009);中国工程科技发展战略湖北研究院战略研究与咨询项目(2023-DFZD-45);中国科协高端科技创新智库青年项目(2021ZZZLFZB1207139);教育部人文社会科学基金项目(19YJA790027);湖北省社会科学后期资助项目(2021014)。

摘　　要：采用LMDI模型与PDA模型相结合的方法,测度和考察了2006—2019年我国及各省碳生产率的动态演变规律及驱动因素,讨论了各省对全国碳生产率变动的贡献与差异。研究发现,各省碳生产率演进呈现明显的马太效应,并受技术效率效应、生产技术效应、资本能源替代效应、劳动能源替代效应、能耗强度效应、产业结构效应和地区格局效应等因素驱动,江苏、山东和广东等省份对全国碳生产率提升贡献较大。Carbon productivity combines high-quality economic development,energy technology innovation,and environ-mental protection.The improvement of carbon productivity is related to constructing ecological civilization and realizing the national"carbon peak and carbon neutral"strategic goal.This paper measures and investigates the dynamic evolution and driving factors of China's national and provincial carbon productivity from 2006 to 2019 to discuss the contribution and difference of regional carbon productivity using the LMDI and PDA models.The results show that the evolution of regional carbon productivity presents a noticeable Matthew effect.Carbon productivity is driven by technological efficiency effect,production technology effect,capital and energy substitution effect,labor and energy substitution effect,energy intensity effect,industrial structure effect,and regional pattern effect.Jiangsu,Shandong,and Guangdong contribute significantly to improving national carbon productivity.This paper provides theoretical reference and policy support for China to achieve the"carbon peak and carbon neutral"goal and face global resource shortage and climate change.

关 键 词：碳生产率 因素分解 LMDI-PDA模型 中国 

分 类 号：X321[环境科学与工程—环境工程] F124.5[经济管理—世界经济]