School of Business and Tourism Management, Yunnan University

应用动态随机非参数数据包络分析(StoNED)模型测度我国工业绿色能源效率的动态变化趋势,并利用空间误差模型,从数字经济视角研究绿色技术创新对我国工业绿色能源效率的影响,发现我国工业绿色能源效率存在正向的空间溢出效应。结果表明:我国工业绿色能源效率呈现先下降后上升的趋势,且呈现内陆地区向华东和华南地区逐渐收敛的态势;数字技术在时间固定模型下对工业绿色能源效率的提升发挥着积极作用,但数字产业和数字环境变量在一定情况下对工业绿色能源效率产生了负面影响;数字技术、数字产业和数字环境变量在不同的空间权重矩阵下,对区域异质性和规模异质性的工业绿色能源效率影响不同。

The dynamic StoNED model is used to measure the dynamic change trend of China’ s indus- trial green energy efficiency, and then the spatial error model is used to study the impact of green tech- nology innovation on China’ s industrial green energy efficiency from the perspective of digital econo- my, and it is found that there is a positive spatial spillover effect of China’ s industrial green energy ef- ficiency. The results show that: the industrial green energy efficiency in China decreases first and then increases, and gradually converges from inland areas to East and South China; Digital technology plays a positive role in the improvement of industrial green energy efficiency under the time-fixed model, but digital industry and digital environment variables have a negative impact on industrial green energy effi- ciency under certain circumstances; Digital technology, digital industry and digital environment varia- bles have different effects on industrial green energy efficiency with regional heterogeneity and scale heterogeneity under different spatial weight matrices.

教育部人文社会科学研究青年基金项目(22YJC790039);云南省教育厅科学研究基金项目(2024Y077)