中国产业绿色转型升级时空分异及空间收敛

Spatial-Temporal Differentiation and Spatial Convergence of Industrial Green Transformation and Upgrading in China

产业绿色转型升级是实现“双碳”目标的战略焦点。论文基于2006-2019年中国省际面板数据,运用改进的熵权法构建产业绿色转型升级指数,利用Kernel密度估计、Moran’s I指数、“五级分类法-非劣解交集法”和Dagum基尼系数刻画其时空分异格局,并采用变异系数与空间杜宾模型探究其空间收敛特征。结果表明:(1)产业绿色转型升级水平总体稳步上升,呈“东高西低、两极分化”的空间分异格局,空间依赖性较强;(2)区域间差异是产业绿色转型升级总体差异的重要原因,超变密度的贡献起主导作用;(3)全国及三大区域均有显著的空间收敛特征,东部条件β收敛速度最快,空间溢出存在“以邻为睦”现象。因此,要加强资源要素互联互通,提升产业集聚和辐射带动能力,为推动产业绿色转型升级提供决策参考。

Industrial green transformation and upgrading is the strategic focus to achieve the goal of“carbon peak and carbon neutrality”.Based on the provincial panel data from 2006 to 2019 in China,this paper uses the improved entropy weight method to construct the industrial green transformation and upgrading index,and employs Kernel density estimation,Moran’s I index,five-level classification-non-inferior solution intersection method and Dagum Gini coefficient to describe the spatial and temporal evolution trends.The spatial convergence characteristics are explored by using the coefficient of variation and the spatial Dubin model.The findings demonstrate that:(1)the degree of industrial green transformation and upgrading exhibits a steady upward trend;it has developed a spatial differentiation pattern that is“high in the east and low in the west”,and the spatial dependence has improved.(2)Regional differences are a significant factor in the overall difference of industrial green transformation and upgrading,and the contribution of supervariable density plays a leading role.(3)There are significant spatial convergence characteristics in the whole country and the three regions,with the eastern conditionβshowing the fastest convergence rate and the phenomenon of“neighborhood as harmony”in spatial spillover.Therefore,it is essential to strengthen interconnection of resource elements,increase industrial agglomeration and radiation drive,and provide decision-making references for promoting industrial green transformation and upgrading.