中国海洋经济绿色全要素生产率空间差异及驱动机制分析
Analysis of spatial differences and driving mechanisms of green total factor productivity in China's marine economy
摘要
采用基于序列DEA的SE-U-SBM和Malmquist指数测度海洋经济绿色全要素生产率,利用Theil指数、Kernel密度和Markov链分析其空间差异和分布动态演进,基于空间杜宾模型考察海洋经济绿色全要素生产率驱动机制.研究发现:2013-2022年间中国省域海洋经济绿色全要素生产率呈增长趋势,绿色技术进步贡献相对突出;沿海省域间海洋经济绿色全要素生产率差异呈现波动变化趋势;省域尺度下中国海洋经济绿色全要素生产率地区差异演进调整速度缓慢但存在向邻近状态转移的可能,空间滞后因素对不同类型间的转移概率具有显著影响;空间互动状态下海洋经济规模、沿海人口密度、工业规模、海洋科技水平、港口经济活跃度和区域市场化程度对海洋经济绿色全要素生产率增长存在异质性直接效应和空间溢出效应.
SE-U-SBM and Malmquist indices based on DEA sequence are used to measure the green total factor productivity of marine economy.Theil index,Kernel density and Markov chain are used to analyze the spatial differences and distributional dynamic e-volution.The direct and indirect effects of influencing factors are measured based on Spatial Durbin Model.The paper shows that the green total factor productivity of marine economy in China shows an increasing trend from 2013 to 2022,and the contribution of green technology progress is outstanding.The difference of marine economic green total factor productivity among coastal provinces shows a fluctuating trend.At the provincial level,the regional differences of green total factor productivity of China's marine economy are slowly adjusting,but there is a possibility of transferring to the neighboring state,spatial lag factor has a significant impact on the transfer prob-ability between different types.The scale of marine economy,coastal population density,industrial scale,marine science and technology level,port economic activity and regional marketization degree have different direct and spatial spillover effects on the growth of marine economy green total factor productivity.
年，卷(期)：
2026, 42(10)
分类号：
P74
机标分类号：
F301.24
F224
F061.5
在线出版日期：
2026年10月20日
基金项目：
23CGLJ21:山东省社会科学规划研究项目，
