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绿色全要素生产率将能耗和污染排放等因素纳入经济增长模型,是评判经济可持续发展质量的重要依据。采用随机前沿分析和空间计量模型对2001-2014年我国省际绿色全要素生产率的测算和敛散性的实证分析发现:我国省域绿色全要素生产率呈缓慢增长趋势,绿色技术进步较绿色效率增长贡献更为突出;空间互动状态下,全域绿色全要素生产率呈条件收敛并产生俱乐部趋同现象,但收敛速度较不考虑空间互动因素有所减缓;人口城市化水平和产业结构升级对绿色全要素生产率增长具有显著的本地效应,市场化程度则存在负溢出效应。本研究认为,提升资源环境约束下全要素生产率的省际协调度依赖于推动滞后区域的城市化进程和产业升级。
Green total factor productivity The energy consumption and pollution emissions and other factors into the economic growth model is an important basis for judging the quality of sustainable economic development. Using stochastic frontier analysis and spatial econometric model, we find that the provincial total factor productivity of green production in China has a slow growth trend and the green technological progress is more efficient than the green efficiency The contribution rate is more prominent. Under the condition of spatial interaction, the global total factor productivity converges in a conditional manner and generates the convergence of clubs, but the convergence rate is slower than that without regard to spatial interaction. Population urbanization and upgrading of industrial structure have a negative impact on the growth rate of green total factor productivity The growth has a significant local effect, while the degree of marketization has negative spillover effects. This study argues that inter-provincial coordination to enhance total factor productivity under resource and environment constraints relies on promoting urbanization and industrial upgrading in the lagging regions.