长江流域资源与环境 >> 2017, Vol. 26 >> Issue (05): 657-666.doi: 10.11870/cjlyzyyhj201705002

• 区域可持续发展 • 上一篇    下一篇

中国省域能源强度趋同俱乐部存在性及影响因素分析

张华明1, 王瑜鑫2, 张聪聪1   

  1. 1. 山西财经大学经济学院, 山西 太原 030006;
    2. 太原工业学院经济与管理系, 山西 太原 030008
  • 收稿日期:2016-11-09 修回日期:2017-02-27 出版日期:2017-05-20
  • 通讯作者: 王瑜鑫 E-mail:997175493@qq.com
  • 作者简介:张华明(1975~),男,博士,副教授,主要从事能源经济与管理,宏观经济统计分析方面研究.E-mail:zhm5665@126.com
  • 基金资助:
    国家自然科学基金(71173141);教育部人文社科项目(15YJCZH046)

ANALYSIS ON THE EXISTENCE AND FACTORS OF CHINA'S PROVINCIAL ENERGY INTENSITY CONVERGENCE CLUB

ZHANG Hua-ming1, WANG Yu-xin2, ZHANG Cong-cong1   

  1. 1. School of Economy, Shanxi University of Finance & Economics, Taiyuan 030006, China;
    2. Department of Economics and Management, Taiyuan Institute of Technology, Taiyuan 030008, China
  • Received:2016-11-09 Revised:2017-02-27 Online:2017-05-20
  • Supported by:
    National Natural Science Foundation of China (71173141);Humanities and Social Science Project of Chinese Ministry of Education (15YJCZH046)

摘要: 中国疆域广大,各地的资源禀赋、能源消耗状况以及经济增长方式存在有着很大的差异,这也导致各地区之间的能源强度水平有着显著的区别。中国各地区之间这种差异很大的能源强度水平是否存在类似经济增长趋同的性质,是否也会呈现出一定的俱乐部趋同现象,这对于探索区域能源差异化政策具有重要意义。以中国30个省市区2000~2014年与能源强度水平有关的数据作为分析的基础,首先从理论上阐述了中国能源强度水平的空间相关性,然后构建实证模型,对2000~2014年中国整体能源强度以及分省域能源强度趋同俱乐部的存在性展开实证研究与检验;对第二产业产值(SEN)、固定资产投资(TZ)、R&D经费支出(R&D)、外商直接投资(FDI)等对各省域能源强度趋同的作用效果做出预估。结果表明我国各省市间能源强度的差距逐步减小,且存在空间上的省域能源强度趋同俱乐部现象;各经济变量对各区域能源强度作用效果各不相同;所以,在制定与能源相关的政策时,要考虑不同地域的客观差别,有针对性实施差异化能源政策。

关键词: 能源强度, 趋同, 空间面板模型

Abstract: There is a great difference between resource endowment, energy consumption and economic growth form in China, which makes energy intensity significantly differ between regions. It is important to reveal whether the presence of energy intensity level of each regional economic growth in China is similar to the convergence of nature, whether a certain club convergence phenomenon for the implementation of energy policy differentiation exists. In this paper, the specific data of energy intensity level in 30 provinces in China from 2000 to 2014 were taken as the starting point. First, the spatial correlation of energy intensity level in China was explained theoretically. Then we constructed the correlation model to carry on the empirical research and the examination to the existence of China's comprehensive and sub-provincial energy intensity convergence clubs from 2000 to 2014. At the same time, the effects of the secondary industry output value (SEN), fixed asset investment (TZ), R&D expenditure (R&D) and foreign direct investment (FDI) on energy intensity convergence were forecasted. The results showed that the energy intensity gap between provinces and cities in China was gradually reduced, and there was a spatial phenomenon of provincial energy intensity convergence of the club. It also showed that the effect of economic variables on energy intensity in different regions was different. Therefore, in the development of energy-related policies, we must consider the objective differences in different regions, which targeted the implementation of differentiated energy policy.

Key words: energy intensity, convergence, spatial panel model

中图分类号: 

  • F240
[1] FISHER-VANDEN K,JEFFERSON G H,LIU H M,et al.What is driving China's decline in energy intensity?[J].Resource and Energy Economics,2004,26(1):77-97.
[2] SADORSKY P.Financial development and energy consumption in Central and Eastern European frontier economies[J].Energy Policy,2011,39(2):999-1006.
[3] 蔡昉,都阳.中国地区经济增长的趋同与差异——对西部开发战略的启示[J].经济研究,2000(10):30-37.[CAI F,DU Y.Convergence and divergence of regional economic growth in China[J].Economic Research Journal,2000(10):30-37.]
[4] MIELNIK O,GOLDEMBERG J.Converging to a common pattern of energy use in developing and industrialized countries[J].Energy Policy,2000,28(8):503-508.
[5] MULDER P,DE GROOT H L F.Structural change and convergence of energy intensity across OECD countries,1970-2005[J].Energy Economics,2012,34(6):1910-1921.
[6] 赵湘莲,李岩岩,陆敏.我国能源消费与经济增长的空间计量分析[J].软科学,2012,26(3):33-38.[ZHAO X L,LI Y Y,LU M.Spatial econometric analysis of energy consumption and economic growth in China[J].Soft Science,2012,26(3):33-38.]
[7] 姜磊,季民河.我国能源强度空间分布的集聚性分析[J].财经科学,2012(2):119-124.[JIANG L,JI M H.Cluster analysis of spatial distribution of China's energy intensity[J].Finance&Economics,2012(2):119-124.]
[8] 袁梁,王军.对中国各地区能源强度空间影响的实证研究[J].统计与信息论坛,2011,26(6):71-77.[YUAN L,WANG J.Study on the spatial effect of China's regional energy intensity[J].Statistics&Information Forum,2011,26(6):71-77.]
[9] 姜磊,柏玲.中国能源强度的空间分布与收敛研究——基于动态空间面板模型的分析[J].西部论坛,2014,24(4):61-69.[JIANG L,BAI L.Study on spatial distribution and convergence of China's energy intensity-analysis based on dynamic spatial panel model[J].West Forum,2014,24(4):61-69.]
[10] 范德成,王韶华,张伟.基于粗糙集理论的能源结构合理度分析[J].统计与信息论坛,2012,27(2):35-42.[FAN D C,WANG S H,ZHANG W.Analysis on the sanity degree of energy structure based on rough set theory[J].Statistics&Information Forum,2012,27(2):35-42.]
[11] 孙海.FDI对我国能源消耗强度作用的渠道分析[J].技术与创新管理,2009,30(2):180-184.[SUN H.On the ways of FDI's effect on the consumption of energy in China[J].Technology and Innovation Management,2009,30(2):180-184.]
[12] 王玉潜.能源消耗强度变动的因素分析方法及其应用[J].数量经济技术经济研究,2003(8):151-154.[WANG Y Q.Factor analysis and its application of intensity fluctuation of China's energy consumption[J].Quantitative&Technical Economics,2003(8):151-154.]
[13] 刘叶,王磊.我国工业能源强度变动的影响因素分解分析——基于LMDI分解法[J].中国矿业大学学报(社会科学版),2009,11(4):66-70.[LIU Y,WANG L.Decomposing analysis of influencing factors of China's industrial energy intensity[J].Journal of China University of Mining&Technology (Social Sciences),2009,11(4):66-70.]
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