Research on influencing factors evaluation of energy supply in China

Abstract

Abstract: The research perspective of energy consumption pays more attention to short-term management, research results are often difficult to solve the basic problem of energy management, and the view of energy supply is more beneficial to provide reference for the long-term management of energy. The paper selects energy resource endowment, economic growth level, industrial structure and technical progress as the main influencing factors of energy supply in China, calculates the weight of each index based on Improved Entropy Method, constructs the index system of influence factors of energy supply in China, makes synthetic analysis and evaluation on the related data of each index from 1991 to 2011 in China based on Catastrophe Theory and OLS. The evaluation results show that the four influencing factors have significant promotion on energy supply in China, among them, energy resource endowment has the most effect on energy supply, the influence degrees of other three are economic growth level, industrial structure and technical progress in turn. The empirical evaluation results provide guidance and reference for further analyzing and refining the influence factors of energy supply in China.

Key words: energy supply, catastrophe theory, improved entropy method, regression equation, influencing factors

CLC Number:

F206

Meng Fansheng, Li Meiying. Research on influencing factors evaluation of energy supply in China[J]. Science Research Management, 2014, 35(9): 50-57.

References

[1] Masih A.M.M., Masih R..On the temporal relationship between energy consumption, real income and price:Some new evidence from asian energy dependent NICs based on a multivariate cointegration/vector error-correction approach[J].Journal of Policy Modeling, 1997, 19(4):417-440. [2] Bretschger L..Economics of technological change and the natural environment:How effective are innovations as a remedy for resource scarcity?[J].Ecological Economics, 2005, 54(2-3):148-163. [3] Kjärstad J., Johnsson F..Resources and future supply of oil[J].Energy Policy, 2009, 37(2):441-464. [4] Fergal O., Rourke, Boyle F., et al.Renewable energy resources and technologies applicable to ireland[J].Renewable and Sustainable Energy Reviews, 2009, 13(8):1975-1984. [5] Wonglimpiyarat J..Technological change of the energy innovation system:From oil-based to bio-based energy[J].Applied Energy, 2010, 3(87):749-755. [6] 赵丽霞, 魏巍贤.能源与经济增长模型研究[J].预测, 1998(6):32-35. [7] 吴巧生, 成金华, 王华.中国工业化进程中的能源消费变动—基于计量模型的实证分析[J].中国工业经济, 2005(4):30-37. [8] 徐康宁, 王剑.自然资源丰裕程度与经济发展水平关系的研究[J].经济研究, 2006(1):78-89. [9] 陈军, 成金华, 吴巧生.工业化水平区域差异与中国能源消费[J].中国人口·资源与环境, 2007(5):59-64. [10] 胡见义, 郭彬程.天然气是能源低碳化发展的重要阶段和趋势[J].中国工程科学, 2011, 13(4):9-14. [11] Su S., Li D., Yu X., et al.Assessing land ecological security in Shanghai(China)based on catastrophe theory[J].Stochastic Environmental Research and Risk Assessment, 2011, 25(6):737-746. [12] 解佳龙, 胡树华, 蒋园园.基于突变级数法的国家高新区竞争力空间分异研究[J].科学学与科学技术管理, 2011, 32(12):101-107. [13] 陈启明, 陈华友.改进的熵值法在确定组合预测权系数中的应用[J].统计与决策, 2011(13):159-160. [14] Yiu K.T.W., Cheung S.O..A catastrophe model of construction conflict behavior[J].Building and Environment, 2006, 41(4):438-447. [15] 仵凤清, 李建侠.基于突变级数法的企业自主创新能力评价及提升路径研究[J].科学学与科学技术管理, 2010, 31(11):33-39. [16] 赵建安, 郎一环.能源保障风险体系的研究—以煤炭与石油为例[J].地球信息科学, 2008, 10(4):410-425. [17] 中华人民共和国国家统计局.中国统计年鉴2011[M].北京:中国统计出版社, 2011. [18] 郭菊娥, 柴建, 吕振东.我国能源消费需求影响因素及其影响机理分析[J].管理学报, 2008, 9(5):651-654. [19] Fredrich K., Roland-Host D..Growth and structural change in China's energy economy[J].Energy, 2009, 34(7):894-903. [20] 梁广华.能源与经济增长的关系研究[J].中国电力, 2012, 45(10):22-26. [21] 高岩, 周德群, 刘晨琛.基于指数型新弱化缓冲算子的能源需求预测[J].管理学报, 2010, 7(8):1211-1214. [22] 原毅军, 郭丽丽, 孙佳.结构、技术、管理与能源利用效率—基于2000-2010年中国省际面板数据的分析[J].中国工业经济, 2012(7):18-30. [23] Wang Y., Li J.W..China's present situation of coal consumption and future coal demand forecast[J].China Population Resources and Environment, 2010, 20(4):63-68. [24] 唐志鹏, 刘卫东, 周国梅等.基于突变级数法的中国CO₂减排的影响要素指标体系及其评价研究[J].资源科学, 2009, 31(11):1999-2005.