节点文献
“双碳”政策下中国工业生产效率时空演化研究
A study of the spatial and temporal evolution of industrial productivity in China in a low carbon environment
【摘要】 在考虑碳排放的情况下,静态层面建立DEA模型,动态层面运用Malmquist指数方法,实证分析中国内地除西藏自治区外的30个省份规模以上工业2013—2021年生产效率的时空演化特征,并利用Tobit模型研究影响工业生产效率的相关因子。结果表明:地区间工业生产效率差距较大,东部地区显著高于中西部地区,但总体生产效率正增长;政府制定的低碳环保政策对工业生产效率的提升具有显著正向影响。对此,提出科学安排技术研发投入、推动区域协调发展、重视工业绿色低碳转型升级以及加大对外开放力度等建议,旨在引领工业高质量发展。
【Abstract】 The DEA model is established at the static level and the Malmquist index method is applied at the dynamic level to empirically analyze the spatial and temporal evolution characteristics of the production efficiency of industries above the scale of 30 provinces in China′s mainland except Xizang Autonomous Region from 2013 to 2021, the Tobit model is used to study the factors affecting industrial productivity. The results show that the gap in industrial production efficiency between regions is huge, and the eastern region is significantly higher than the central and western regions, but the overall production efficiency is positive; the green production policies formulated by the government and the degree of openness to the outside world have a significant positive impact on the improvement of industrial production efficiency. In response to this, it is proposed that scientific arrangement of investment in technological research and development, promotion of coordinated regional development, emphasis on green and low-carbon transformation and upgrading of industry, as well as increased openness to the outside world will lead to high-quality industrial development.
【Key words】 DEA-Malmquist; production efficiency; low carbon; spatial and temporal evolution;
- 【文献出处】 沈阳工业大学学报(社会科学版) ,Journal of Shenyang University of Technology(Social Sciences) , 编辑部邮箱 ,2024年04期
- 【分类号】F424;X322
- 【下载频次】23