With the economic development of the human society, growth of population, and accelerated urbanization and industrialization, increase of asymmetric carbon cycle and global climate change caused by rapid growth of energy consumption are becoming the current hot spots of all walks of life worldwide. Therefore, improving energy efficiency has become an effective way of active response to energy saving and realization of sustainable development. This paper, by analyzing the characteristics of energy efficiency, industrial structure and energy consumption structure of China and five other developed countries, establishes a VAR model and uses impulse responses function and variance decomposition methods to reveal the mechanism of energy efficiency response to industrial structure evolvement and energy consumption structure change. Research suggests that in the last 40 years, China's tertiary industry has played a greater role than its secondary industry in improving energy efficiency. Although the development of the secondary industry has a positively weak correlation with energy efficiency, according to the experience of developed countries, the inhibition of secondary industry on the energy efficiency improvement has not yet appeared in China, which indicates that the economy still needs pushing by industry with extensive and high energy consumption. Otherwise, the energy consumption relies on coal, which also has the inhibition on the energy efficiency improving. In the end, basing on such analysis, the paper discusses the response of energy efficiency to industrial restructuring and energy consumption structure change. Some conclusions can be drawn as follows: (1) Compared with developed countries, the industrial restructuring has inhibition on energy efficiency improvement in the short term until the mid-term, then the positive impact of industrial restructuring will emerge, which will improve energy efficiency. (2) Since existence of "coal-based" energy consumption structure for a long time, its negative effect appeared later in China than in developed countries, and the evolution of energy consumption structure in both China and developed countries has little effect on energy efficiency. (3) The influence of industrial structure change is greater than the evolution of energy consumption structure, so the impact of industrial restructuring and upgrading is the key to improve energy efficiency and carry out energy saving policies.
WANG Qiang, ZHENG Ying, WU Shidai, LI Tingting
. Mechanism of Energy Efficiency Response to Industrial Restructuring and Energy Consumption Structure Change[J]. Acta Geographica Sinica, 2011
, 66(6)
: 741
-749
.
DOI: 10.11821/xb201106003
[1] BP. Statistical Review ofWorld Energy. London: British Petroleum (BP), 2009.
[2] Robert K Dixon, Elizabeth McGowan et al. US energy conservation and efficiency policies: Challenges and opportunities.Energy Policy, 2010, doi:10.1016/j.enpol.2010.01.038.
[3] Philip Andrews-Speed. China's ongoing energy efficiency drive: Origins, progress and prospects. Energy Policy, 2009, 37:1331-1344.
[4] Zhou P, Ang B W. Linear programming models for measuring economy-wide energy efficiency performance. EnergyPolicy, 2008, 36: 2911-2916.
[5] Nan Zhou, Mark D Levine, Lynn Price. Overview of current energy-efficiency policies in China. Energy Policy, 2009, doi:10.1016/ j.enpol.2009.08.015.
[6] Shi Guangming, Bi Jun, Wang Jinnan. Chinese regional industrial energy efficiency evaluation based on a DEA model offixing non-energy inputs. Energy Policy, 2010, doi: 10.1016/j.enpol.2010.06.003.
[7] Ashok Sarkar, Jas Singh. Financing energy efficiency indeveloping countries: Lessons learned and remaining challenges.Energy Policy, 2010, doi: 10.1016/j.enpol.2010.05.001.
[8] Ang B W. Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index.Energy Policy, 2006, 34: 574-582.
[9] Hu Jin-Li,Wang Shih-Chuan. Total-factor energy efficiency of regions in China. Energy Policy, 2006, 34: 3206-3217.
[10] Ming Yang. Energy efficiency policy impact in India: Case study of investment in industrial energy efficiency. EnergyPolicy, 2006, 34: 3104-3114.
[11] Zhang Xiaoping, Regional disparities in energy consumption intensity in China and determining factors. ResourcesScience, 2008, 30(6): 883-889. [张晓平. 中国能源消费强度的区域差异及影响因素分析. 资源科学, 2008, 30(6):883-889.]
[12] Wang Qunwei, Zhou Dequn, Shen Xuan et al. The measurement and analysis of total factor energy efficiency in China.Management Review, 2010, 22(3): 37-43. [王群伟, 周德群, 沈璇等. 我国全要素能源效率的测度与分析. 管理评论,2010, 22(3): 37-43.]
[13] Wei Yiming, Liao Hua. Seven energy efficiency indicators and their measurement approaches. China Soft Science, 2010,(1): 128-137. [魏一鸣, 廖华. 能源效率的七类测度指标及其测度方法. 中国软科学, 2010, (1): 128-137.]
[14] Wang Junsong, He Canfei. Technological development, structural change and Chinese energy consumption efficiency.China Polulation, Resources and Environment, 2009, 19(2): 157-161. [王俊松, 贺灿飞. 技术进步、结构变动与中国能源利用效率. 中国人口资源与环境, 2009, 19(2): 157-161.]
[15] Wei Chu, Shen Manhong. Current progresses and new trend of research on energy efficiency: A literature review. Journalof Zhejiang University: Humanities and Social Sciences, 2009, (3): 55-63. [魏楚, 沈满洪. 能源效率研究发展及趋势: 一个综述. 浙江大学学报: 人文社会科学版, 2009, (3): 55-63.]
[16] Qu Xiao'e. An analysis on Chinese inter-provincial differences in energy efficiency and their determinants. EconomicTheory and Business Management, 2009, (2): 46-52. [屈小娥. 中国省际能源效率差异及其影响因素分析. 经济理论与经济管理, 2009, (2): 46-52.]
[17] Fenga Taiwen, Sun Linyan, Zhang Ying. The relationship between energy consumption structure, economic structure andenergy intensity in China. Energy Policy, 2009, 37: 5475-5483.
[18] Liu Yanjun, Li Chenggu. Regulation model and mechanism of urbanization response to the industrial structure evolvementin Northeast China. Acta Geographica Sinica, 2009, 64(2): 153-166. [刘艳军, 李诚固. 东北地区产业结构演变的城市化响应机理与调控. 地理学报, 2009, 64(2): 153-166.]
[19] Zhang Lei. Economic development and its bearing on CO2 emissions. Acta Geographica Sinica, 2003, 58(4): 629-637. [张雷. 经济发展对碳排放的影响. 地理学报, 2003, 58(4): 629-637.]
[20] Wang Hongrui, Feng Qilei, Lin Xin et al. Ergodicity analysis of air temperature variation process of Shanghai. Journal ofTianjin University, 2010, 43(1): 55-63. [王红瑞, 冯启磊, 林欣等. 上海气温变化过程遍历特征分析. 天津大学学报,2010, 43(1): 55-63]
[21] Zeng Wenyi, Li Hongxing, Shi Yu. Fuzzy linear regression model (I). Journal of Beijing Normal University: Natural Science, 2006, 42(2): 120-125. [曾文艺, 李洪兴, 施煜. 模糊线性回归模型(I). 北京师范大学学报: 自然科学版, 2006,42(2): 120-125.]
[22] Nie Qiaoping, Zhang Xiaodong. The analysis of united test of F statistics in ADF unit root test. Statistical Research, 2007,24(2): 73-80. [聂巧平, 张晓峒. ADF单位根检验中联合检验F统计量研究. 统计研究, 2007, 24(2): 73-80.]