当代财经 ›› 2012, Vol. 0 ›› Issue (01): 1461-.

• • 上一篇    

中国不可再生能源消耗效率的关键影响因素研究

武春友   

  1. 大连理工大学
  • 收稿日期:2012-03-19 发布日期:2021-01-21
  • 作者简介:武春友,大连理工大学教授,博士生导师,国际生态安全研究所所长,联合国国际生态生命安全科学院院士,主要从事资源及环境管理研究;

A Study of the Key Influencing Factors on Consumption Efficiency of China’s Non-Renewable Energy Resources

WU Chun-you   

  1. Dalian University of Technology
  • Received:2012-03-19 Published:2021-01-21

摘要: 随着中国工业化和城市化进程的加快,不可再生能源消耗在急剧增长,经济发展对能源供给与环境约束的压力已经濒临可持续发展平衡底线。无论从国家能源安全还是能源、经济、环境系统的和谐发展角度出发,提高不可再生能源消耗效率都是必然选择。在此背景下,基于C2B-DEA、超效率DEA模型,测算出1990-2009年间中国不可再生能源消耗效率值,选定产业结构、对外开放程度、城市化进程、技术进步以及不可再生能源消耗结构等五大影响因素与效率值进行影响因素回归模型的实证分析。研究结果表明:第三产业比重、对外贸易进出口总额比重、城市化率以及不可再生能源消耗构成中煤炭消耗比重与不可再生能源消耗效率呈负相关,科技研发经费投入比重与不可再生能源消耗效率呈显著正相关。现阶段内,技术改造及创新与煤炭消耗比重的降低是提高我国不可再生能源消耗效率的重要途径。

关键词: 不可再生能源,消耗效率,影响因素,C2B-DEA模型,超效率DEA模型

Abstract: With the acceleration of China’s industrialization and urbanization, the consumption of non-renewable energy resources has been increasing rapidly; the pressure posed by economic development on energy supply and environment restriction has been on the verge of the bottom-line of the balanced sustainable development. No matter in terms of the national energy safety or harmonious development of the energy-economy-environment system, to improve the consumption efficiency of the non-renewable energy resources is an inevitable choice. Under this background, this article calculates the consumption efficiency of the non-renewable energy resources in China during 1990-2009 based on C2B-DEA and super-efficiency DEA model and makes an empirical analysis with the regression model of influencing factors, namely the five major factors of industrial structure, degree of openness, urbanization process, technical progress and non-renewable energy consumption structure. The results indicate that there exists a negative correlation between the consumption efficiency of the non-renewable energy resources and such factors as the proportion of the third industry, the proportion of the total export-import volume of foreign trade, urbanization rate and the proportion of coal consumption in the composition of non-renewable energy resources; whereas between the proportion of R&D funding and the consumption efficiency of the non-renewable energy resources there exists a significant positive correlation. At present stage, to update and innovate the technology and to reduce the proportion of coal consumption are the significant ways to improve the consumption efficiency of China’s non-renewable energy resource.

Key words: non-renewable energy resource; consumption efficiency; influencing factor; C2B-DEA model; super-efficiency DEA model