东北地区装备制造业全要素生产率及其影响因素——基于DEA-Tobit两阶段法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

基金项目:


Total Factor Productivity of Equipment Manufacturing Industry in Northeast China and Its Influencing Factors:Based on DEA-Tobit two stage method
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    采用DEA-malmquist指数方法测算了东北地区装备制造业2005—2020年间全要素生产率及其分解效率,并利用混合面板Tobit模型对其影响因素进行了实证检验。研究发现:东北地区装备制造业全要素生产率依靠技术进步的“单轨驱动”,总体达到DEA有效,技术效率抑制了其增长速度;东北地区装备制造业发展存在行业异质性和区域异质性;增加研发投入、提高市场化水平和地区经济发展水平能够提升全要素生产率;随着产业集聚程度的提高、政府财政支出的增多,全要素生产率反而下降;产业规模、城镇化水平与全要素生产率并无直接关联。

    Abstract:

    The DEA-Malmquist index method was used to measure the total factor productivity and its decomposition efficiency in northeast China from 2005 to 2020. On this basis, the Tobit model of hybrid panel was used to test its influencing factors. The result show that the equipment manufacturing industry in northeast China is driven by the “Single track” of technology progress-ss, the overall efficiency is DEA efficient. Its growth rate is restrained by technical efficiency, the pure technical efficiency loss is the root of the technical efficiency decline. The development of equipment manufacturing industry in northeast China has the characteristics of industrial heterogeneity and regional heterogeneity. Nevertheless, the main performance is the drag effect of technical efficiency. Increased government spending on research and development, increased marketization and regional economy developed could raise the total factor productivity. As the degree of industrial agglomeration and government spending increased, the total factor productivity declined. The size of the industry and the level of urbanization are not directly related to the total factor productivity.

    参考文献
    相似文献
    引证文献
引用本文

程敏.东北地区装备制造业全要素生产率及其影响因素——基于DEA-Tobit两阶段法[J].科技与产业,2023,23(11):203-210

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-07-11
×
《科技和产业》
喜报 | 学会期刊《科技和产业》成为国家哲学社会科学文献中心2024年度最受欢迎的经济学期刊