基于DEA-ESDA的中国省际能源效率及其时空分异研究

doi:10.11849/zrzyxb.2014.11.001

自然资源学报 ›› 2014, Vol. 29 ›› Issue (11): 1815-1825.doi: 10.11849/zrzyxb.2014.11.001

• 资源利用与管理 • 下一篇

基于DEA-ESDA的中国省际能源效率及其时空分异研究

杨宇, 刘毅

中国科学院地理科学与资源研究所, 北京100101

收稿日期:2014-02-05 修回日期:2014-03-18 出版日期:2014-11-20 发布日期:2014-11-20
作者简介:杨宇(1984-),男,山东威海人,博士,助理研究员,研究方向为能源地理与区域发展。Email:yangyu@igsnrr.ac.cn
基金资助:
国家自然科学基金(41371141,41401132,41430636)。

Study on China's Energy Efficiency and Its Spatio-temporal Variation from 1990 to 2010 Based on DEA-ESDA

YANG Yu, LIU Yi

Institute of Geographic Sciences and Nature Resources Research, CAS, Beijing 100101, China

Received:2014-02-05 Revised:2014-03-18 Online:2014-11-20 Published:2014-11-20

摘要/Abstract

摘要：

提高能源效率是节约能源、解决能源供需矛盾的有效途径之一,以国内最高能源效率为比较标准计算能源效率并分析其区域差异对能源投入要素的合理配置具有重要的参考价值。论文通过DEA-ESDA模型对1990、2000 和2010 年我国各省市能源效率进行分析,并探索其空间集聚状态以及冷热点区域格局的演化,得出结论如下:①我国各省市能源效率的地带性差异显著,呈现出从东部沿海向西部地区递减的趋势;②科技投入低和基本要素配置的不合理是我国部分省市能源效率较低的主要原因,大致可以分为能源投入松弛、人力资源投入松弛、资本投入松弛和多种要素投入松弛四类;③能源效率与纯技术效率的空间集聚状态基本一致,而规模效率受制于资源禀赋等原因,集聚状态相对较弱,纯技术效率对能源效率的影响越来越明显;④能源效率的冷热点格局亦呈现地带性分布,能源效率与纯技术效率的演化过程高度一致,而规模效率呈现出相异的特征。提高能源利用效率的空间配置应重视纯技术效率及其在空间上的协调。

关键词: 能源效率, 规模效率, 纯技术效率, DEA-ESDA

Abstract:

Improving energy efficiency is one of the important ways to solve the energy problem. This paper analyzes trajectories and geographies of energy efficiency in China. More specifically it examines the evolution and regional differences in 1990, 2000 and 2010 through the DEA model of the Total Factor Energy Efficiency (TFEE). And using the Exploratory Spatial Data Analysis (ESDA), the paper then discusses its spatial agglomeration as well as the cold and hot spots, and draws the following conclusions. 1) There is a substantial difference in the energy efficiency among provinces in China, with higher energy efficiency in the eastern region and lower in the western region. 2) Different factors contribute to the difference in energy efficiency among provinces in China. Generally speaking, the provinces can be divided into four main kinds which are energy input slack, human capital input slack, capital input slack as well as energy and human capital input slack. With the rapid growth of China's economy, energy input and human capital input are the most popular factors leading to low efficiency. 3) Spatial autocorrelation analysis demonstrates that there is significant agglomeration of energy efficiency, pure technical efficiency and scale efficiency amongst Chinese provinces. 4) The cold and hot spots in terms of energy efficiency in China have shown regional differences from coastal to inland, and gradual decline from east region to central and west regions. Viewed from the decomposition of energy efficiency, the spatial structure and evolution of energy efficiency and pure technical efficiency are basically identical, while the scale efficiency showed significant difference.

Key words: energy efficiency, scale efficiency, pure technical efficiency, DEA-ESDA

中图分类号:

F416.2

杨宇, 刘毅. 基于DEA-ESDA的中国省际能源效率及其时空分异研究[J]. 自然资源学报, 2014, 29(11): 1815-1825.

YANG Yu, LIU Yi. Study on China's Energy Efficiency and Its Spatio-temporal Variation from 1990 to 2010 Based on DEA-ESDA[J]. JOURNAL OF NATURAL RESOURCES, 2014, 29(11): 1815-1825.

参考文献

[1] BP statistical review of world energy[EB/OL]. www. bp. com/statisticalreview. 2013-06.
[2] 韩文科, 杨玉峰, 等. 中国能源展望[M]. 北京: 中国经济出版社, 2012.[HAN Wen-ke, YANG Yu-feng, et al. China's Energy Outlook. Beijing: China Economy Press, 2012.]
[3] Wei C, Ni J L, Sheng M H. China's energy inefficiency: A cross-country comparison[J]. The Social Science Journal, 2011, 48(3): 478-488.
[4] Zhang X P, Cheng X M, Yuan J H, et al. Total-factor energy efficiency in developing countries[J]. Energy Policy, 2011, 39(2): 644-650.
[5] Chien T C, Hu J L. Renewable energy and macroeconomic efficiency of OECD and non-OECD economies[J]. Energy Policy, 2007, 35(7): 3606-3615.
[6] Hu J L, Kao C H. Efficient energy-saving targets for APEC economies[J]. Energy Policy, 2007, 35(1): 373-382.
[7] International Energy Agency.World Energy Outlook 2004[M]. Paris: OECD Press, 2004.
[8] 史丹. 中国能源效率的地区差异与节能潜力分析[J]. 中国工业经济, 2006 (10): 49-58.[SHI Dan. Regional differences in China's energy efficiency and conservation potentials. China Industrial Economy, 2006 (10): 49-58.]
[9] Hu J L,Wang S C. Total factor energy efficiency of regions in China[J]. Energy Policy, 2006, 34(17): 3206-3217.
[10] 魏楚, 沈满洪. 能源效率与能源生产率: 基于DEA方法的省际数据比较[J]. 数量经济技术经济研究, 2007(9): 110- 121.[WEI Chu, SHEN Man-hong. Energy efficiency and energy productivity: A comparison based on the panel data by province. The Journal of Quantitative and Technical Economics, 2007(9): 110-121.]
[11] 魏楚, 沈满洪. 能源效率及其影响因素: 基于DEA的实证分析[J]. 管理世界, 2007(8): 66-76.[WEI Chu, SHEN Manhong. Energy efficiency and its influence factors: A study based on DEA. Management World, 2007(8): 66-76.]
[12] 师博, 沈坤荣. 市场分割下的中国全要素能源效率: 基于超效率DEA方法的经验分析[J]. 世界经济, 2008(9): 49- 59.[SHI Bo, SHEN Kun-rong. Total-factor energy efficiency of China under market segmentation based on the superefficiency DEA. World Economy, 2008(9): 49-59.]
[13] 屈小娥. 中国省际全要素能源效率变动分解——基于Malmquis 指数的实证研究[J]. 数量经济技术经济研究, 2009 (8): 29- 43.[QU Xiao- e. China's interprovincial total factor energy efficiency change decomposes. The Journal of Quantitative and Technical Economics, 2009(8): 29-43.]
[14] 汪克亮, 杨宝臣, 杨力. 基于DEA和方向性距离函数的中国省际能源效率测度[J]. 管理学报, 2011, 8(3): 456-463.[WANG Ke-liang, YANG Bao-chen, YANG Li. China's provincial energy efficiency measurement based on DEA and direction distance function. Chinese Journal of Management, 2011, 8(3): 456-463.]
[15] 陈夕红, 李长青, 张国荣, 等. 经济增长质量与能源效率是一致的吗?[J] 自然资源学报, 2013, 28(11): 1858-1868.[CHEN Xi-hong, LI Chang-qing, ZHANG Guo-rong, et al. Is the quality of economic growth in concordance with energy efficiency? Journal of Natural Resource, 2013, 28(11): 1858-1868.]
[16] Cooper W W, Seiford L M, Tone K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software[M]. Boston: Kluwer Academic Publishers, 2006.
[17] NelWP, Zyl GV. Defining limits: energy constrained economic growth[J]. Applied Energy, 2010, 87(1): 168-177.
[18] Getis A, Ord J K. The analysis of spatial association by the use of distance statistics[J]. Geographical Analysis, 1992, 24: 189-206.
[19] Ansclin L. Local indicators of spatial association: LISA[J]. Geographical Analysis, 1995, 27: 93-115.
[20] 谢群, 潘玉君. 中国内地各省区1952-2009 年实物资本存量估算[J]. 当代经济, 2011(1): 122-128.[XIE Qun, PAN Yu-jun. Estimation of China's provincial capital stock real capital 1952- 2009. Contemporary Economics, 2011(1): 122- 128.]
[21] 齐元静, 杨宇, 金凤君. 中国经济发展阶段及其时空格局演变特征[J]. 地理学报, 2013, 68(4): 517-531.[QI Yuanjing, YANG Yu, JIN Feng-jun. China's economic development stage and its patio-temporal evolution: A prefectural-level analysis. Acta Geographica Sinica, 2013, 68(4): 517-531.]

基于DEA-ESDA的中国省际能源效率及其时空分异研究

Study on China's Energy Efficiency and Its Spatio-temporal Variation from 1990 to 2010 Based on DEA-ESDA

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

Metrics

本文评价

推荐阅读 0

[1]	田成诗, 李金. 大型城市紧凑度与能源效率的关系研究[J]. 自然资源学报, 2018, 33(10): 1781-1795.
[2]	王明新, 姚静波, 孙向武. 不同施肥模式下甘薯乙醇生命周期能效与环境影响分析[J]. 自然资源学报, 2017, 32(2): 245-254.
[3]	李博, 张文忠, 余建辉. 考虑环境约束的中国资源型城市全要素能源效率及其差异研究[J]. 自然资源学报, 2016, 31(3): 377-389.
[4]	何凌云，程怡，金里程，钟章奇. 国内外能源价格对我国能源消耗的综合调节作用比较研究[J]. 自然资源学报, 2016, 31(1): 1-16.
[5]	陈夕红, 李长青, 张国荣, 籍卉林, 白双柱. 经济增长质量与能源效率是一致的吗?[J]. 自然资源学报, 2013, 28(11): 1858-1868.
[6]	刘佳骏, 董锁成, 李宇. 产业结构对区域能源效率贡献的空间分析——以中国大陆31省(市、自治区)为例[J]. 自然资源学报, 2011, 26(12): 1999-2011.
[7]	刘立涛, 沈镭. 中国区域能源效率时空演进格局及其影响因素分析[J]. 自然资源学报, 2010, 25(12): 2142-2153.