运筹与管理 ›› 2020, Vol. 29 ›› Issue (12): 147-153.DOI: 10.12005/orms.2020.0325

• 应用研究 • 上一篇    下一篇

煤炭资源型地区技术锁定效应测度研究

李刚, 马羽洁, 牛冲槐   

  1. 太原理工大学 经济管理学院,山西 太原 030024
  • 收稿日期:2019-01-08 出版日期:2020-12-25
  • 作者简介:李刚(1965-),男,河北怀安人,教授,硕士生导师,研究方向:科技管理;马羽洁(1994-),女,山西长治人,硕士研究生,研究方向:科技管理;牛冲槐(1956-),男,山西夏县人,教授,博士生导师。
  • 基金资助:
    山西省软科学研究计划重点项目(2017042009)

Study on Technology Lock-in Effect in Coal Resource-based Areas

LI Gang, MA Yu-jie, NIU Chong-huai   

  1. School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2019-01-08 Online:2020-12-25

摘要: 本文利用煤炭产业区位熵指数,对煤炭资源型地区进行划分。运用DEA-SBM模型,选取2008年到2016年我国30个省份的投入产出数据,划分为煤炭资源型地区和非煤炭资源型地区,通过测算其技术创新效率,对煤炭资源型地区的技术锁定效应进行研究。选取煤炭资源型地区2008年到2016年的面板数据,构建回归模型,对其技术锁定的主要影响因素进行研究。结果显示:山西、内蒙古、贵州、陕西、甘肃、宁夏的煤炭产业区位熵指数均大于临界值,为煤炭资源型地区。与非煤炭资源型地区相比,它们的技术创新效率更低,技术锁定效应更为明显。资源产业对资金的粘滞所造成的转换成本加剧了技术锁定效应,国有化程度较深的不合理的经济结构深化了技术锁定效应,同时政府的资金扶持、市场需求的扩大均能有效的降低技术锁定程度,并据此提出破解煤炭资源型地区技术锁定效应的对策建议。

关键词: 煤炭资源型地区, 技术锁定, 区位熵指数, DEA模型

Abstract: In this paper the location entropy index of coal industry is used to divide coal resource-based areas. Using DEA-SBM model, this paper selects input-output data of 30 provinces in China from 2008 to 2016 and divides them into coal resource-based areas and non-coal resource-based areas, and by measuring their efficiency of technological innovation, the technological lock-in effect of coal resource-based areas is studied .Based on the panel data from 2008 to 2016 in coal resource-based areas a regression model is constructed to study the main influencing factors of technology lock-in. The results show that the location entropy index of coal industry in Shanxi, Inner Mongolia, Guizhou, Shaanxi, Gansu and Ningxia is higher than the critical value, so they are coal resource-based areas.Compared with non-coal resource-based areas, their technological innovation efficiency is low and the technology lock-in effect is obvious.The cost of conversion caused by the stickiness of resource industry to capital has exacerbated the technology lock-in effect, and the irrational economic structure with deeper nationalization deepened the technology lock-in effect.At the same time, the government’s financial support and the expansion of market demand can effectively reduce the technology lock-in effect,and on the basis of this it puts forward some countermeasures and suggestions to solve the technology lock-in effect in coal resource-based areas.

Key words: coal resource-based areas, technology lock-in, location entropy index, DEA model

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