用户名: 密码: 验证码:
我国东部沿海区域能源安全评价及保障路径设计
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
能源是人类社会生存和发展的基础,改革开放后的三十多年中,我国在能源领域取得了显著成就的同时,也产生了许多问题,诸如能源供需矛盾突出、能源利用效率低下、生态破坏和环境污染日益严重等,严重的威胁到国家的能源安全,阻碍了社会经济的可持续发展。因此,建设一个资源节约型社会,是我国今后发展的目标,也是保障能源安全的根本途径。
     能源供应地与消费地分布不平衡使区域能源安全问题凸显。东部沿海地区是我国人口密集、经济发达的地区,也是我国能源最消费集中的区域,但能源资源相当的贫乏,能源供需矛盾十分严重。保障东部沿海地区的能源安全,是保障国家能源安全,实现经济社会可持续发展的关键。因此综合评价东部沿海地区的能源安全状况,预测未来能源安全发展趋势,探讨保障东部沿海区域能源安全的途径和政策措施,显得尤为重要。
     本文的主要结论和创新之处有以下几个方面:
     第一,本文以多学科交叉的视角,探索东部沿海地区能源安全的特征,并结合当前新的形势,所选指标在前人基础上进行了拓展,既考虑了传统的影响因素,又融入了社会、环境、低碳等新的因素,揭示了区域能源安全问题与经济、社会、人口、资源和环境之间的关系和相互作用机理。
     第二,运用DPSIR评价方法,分别从驱动力、压力、状态、影响和响应五个方面选取指标集,构建东部沿海区域能源安全综合评价体系模型,并采用因子分析模型,结合SPSS统计分析软件,对东部沿海区域能源安全进行科学的定量的评价。
     第三,本文采用情景分析法,以保障能源供应稳定性和使用安全性为前提,对不同情景下的东部沿海区域能源安全的发展趋势进行预测,以便为政策制定者在制定区域能源安全战略时提供参考。
     第四,论文选择东部沿海地区的一个典型的能源消费及输入大省广东省作为案例,通过对广东省能源安全的综合评价,提出了相应的能源安全保障政策建议,旨在努力的构建一套完善的东部沿海区域能源安全综合评价体系和预警应急机制,并力求在东部沿海区域能源安全保障路径的设计上有所突破和创新。
Energy is the necessity of human society survival and development. After thirty years of reform and opening up, China has made remarkable achievements, but also generated a lot of problems in energy, such as the obvious contradiction between energy supply and demand, low efficiency energy utilization, ecological destruction and increasingly serious environmental pollution, which seriously threats national energy security, hinders social and economic sustainable development. Therefore, building a resource-saving society is China's future development goals, as well as a fundamental way of energy security.
     Energy supply and consumption distribution imbalances highlight the regional energy security issues. China's eastern coastal is densely populated and economically developed, most of China's energy consumption is concentrated in this area, but it is rather poor in energy resources and energy supply and demand contradiction is very serious. Protect energy security of the eastern coastal areas is to protect national energy security; it is the key of sustainable economic and social development. Therefore, it is particularly important to comprehensively evaluate the energy security situation in the eastern coastal areas, to predict future development trend of energy security, to protect eastern coastal area of energy security means and to formulate policy measures.
     The main conclusions and innovations are in the following areas:
     First, this thesis explored the characteristics of the eastern coastal areas of energy security in interdisciplinary perspective, combined with the current new situation. The selected indicators were based on previous development, not only the traditional factors were considered, but also the social, environmental, low carbon and other new factors, which aimed to reveal the regional energy security issues with economic, social, population, resources and environment relationship and interaction between the mechanism.
     Second, through DPSIR assessment method, the thesis respectively, built analyzed the eastern coastal region energy security evaluation model with factors of driving force, pressure, state, impact and response indicators, and undertook quantitative scientific evaluation combined with SPASS statistical analysis software, regional energy security on the eastern coast.
     Third, this thesis undertook scenario analysis to safeguard the stability of energy supply and predict different scenarios of energy security in the eastern coastal region to predict the development trend so as to provide reference to policy makers in formulating regional energy security development strategy.
     Fourth, the thesis chosen Guangdong province, a typical eastern coastal areas of energy consumption as case. Through comprehensive evaluation of energy security, it proposed corresponding policy recommendations for energy security, which aims to build comprehensive energy security evaluation system of the eastern coastal area and early warning mechanisms, as well as achieve breakthrough on the path of the design and innovation of energy security in the eastern coastal area.
引文
[1]A.F.Alhajji.(2007).“Environment, Climate Change, Energy Economics and Energy Policy.”Energy & Environment 18(5):549~564.
    [2]Willrich.Energy and world politics.New York:Free Press,1975.
    [3]Daniel Yergin.(2006).“Ensuring Energy Security.”Foreign Affairs 85(2):69~82.
    [4]Maull,Hanns W.Raw materials,energy and Western security.London:Macmillan Pr. Inc.,1984.
    [5]David Deese,Joseph Nye.Energy and Security.Cambridge:Ballinger Publishing Co., 1988.
    [6]魏一鸣等.中国能源报告(2006)[M].北京:科学出版社,2006.
    [7]Daniel Yergin.(2006).“Ensuring Energy Security.”Foreign Affairs 85(2):69~82.
    [8]2006年世界经济论坛·达沃斯.
    [9]Kruyt & van Vuuren,et al.(2009).“Indicators for Energy Security.”Energy Policy37(6):2166~2181.
    [10]张雷.中国能源安全问题探讨[J].中国软科学,2001,(4):7~12.
    [11]根据2009年人口变动情况抽样调查数据推算
    [12]数据来源于:中国统计年鉴,2010
    [13]数据来源于:中国能源统计年鉴,1991~2008
    [14]数据来源于:BP,2009
    [15]数据来源于:中国可再生能源发展战略研究项目组2008中国可再生能源发展战略研究丛书中国电力出版社北京
    [16]数据来源于:BP,2009
    [17]数据来源于:中国可再生能源发展战略研究项目组2008中国可再生能源发展战略研究丛书中国电力出版社北京
    [18]资料来源:BP发布的2009年最新能源统计数据
    [19]数据来源于:中国统计年鉴,2010
    [20]数据来源于:中国统计年鉴,2004~2010
    [21]张雷,蔡国田.中国人口发展与能源供应保障探讨[J].中国软科学,2005(11):15~16.
    [22]Williamson,Jeffrey,Growth.Distribution and Demography:Some Lessons from History[C].Chambridge:Na-tionalBureau of Economic Research Working Paper Series, 1997:6244.
    [23]郝海,顾培亮,卢奇.中国和世界能源消费因素对比分析[J].中国能源,2005(5):37~39.
    [24]郎一环,沈镭.我国能源节约战略研究[J].中国人口·资源与环境,2006,16(2).
    [25]Bentzen J.Estimating the Rebound Effect in US Manufacturing Energy Consumption. Energy Economics,2004(26):123~134.
    [26]能源让美国总统布什左右为难,事关美国生活方式.中国经济时报.2006年12月14日http://www.p5w.net/news/gjcj/200612/t670274.htm
    [27]袁顺全,千怀遂.中国能源消费与气候变化的关系[J].地理学报(英文版),2004,14(1).
    [28]Gerven V,Block C,Greens J,et a.l Environmental response indicators for the industrial and energy sector in Flanders[ J].Journal ofCleanerProduction,2007, 15(10):886~894
    [29]Hanne S,Lars K P,Dale R,et a.l Discursive biases of the environmental research framework DPSIR[J].Land Use Policy,2008(25):116~125.
    [30]David N,Rrdolf S,Groot D.Framing environmental indicators:moving from causal chains to causal networks[J].Environ Dev Sustain,2008(10):89~106.
    [31]WestingA.An expanded concept of international security[C].Global resources and international conflict Environmental factors instrategic policy and action. OxfordUniversity Press,1986:195
    [32]侯向阳,肖平.可持续发展指标体系的构建方法探讨[J].生态科学,1998(2):80~85.
    [33]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [34]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [35]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [36]A.Armillotta.Selection of layered manufacturing techniques by an adaptive AHP decisionmodel.Roboticsand Computer-Integrated Manufacturing.2008,24(3):450~461.
    [37]M.J.Liberatore,R.L.Nydick.The analytic hierarchy process in medical and health care decision making:A literature review.European Journal of Operational Research. 2008,189(1):194~207.
    [38]L.J.Li,L.T.Shen.An improved multilevel fuzzy comprehensive evaluation algorithm for security performance.The Journal of China Universities of Posts and Telecommunications.2006,13(4):48~53.
    [39]K.L.Wen.A Matlab toolbox for grey clustering and fuzzy comprehensive evaluation. Advances in Engineering Software.2008,39(2):137~145.
    [40]G.J.Wu.A synthetical index of the potential threats about intense activities of meteors.New Astronomy.2006,12(1):52~59.
    [41]S.J.Huang,N.H.Chiu and L.W.Chen.Integration of the grey relational analysis with genetic algorithm for software effort estimation.European Journal of Operational Research.2008,188(3):898~909.
    [42]G.M Zeng,R.Jiang,G.H.Huang,et al.Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis.Journal of Environmental Management.2007,82(2):250~259.
    [43]秦寿康.综合评价原理与应用.北京:电子工业出版社,2003.
    [44]L.Pan,D.Flynn and M.Cregan.Sub-Space Principal Component Analysis for Power Plant Monitoring.Power Plants and Power Systems Control.2006,2007:243~248.
    [45]X.G.Deng,X.M.Tian.Multivariate statistical process monitoring using multi-scale kernel principal component analysis.Fault Detection,Supervision and Safety of Technical Processes.2006,2007:108~113.
    [46]王文博,陈秀芝.多指标综合评价中主成分分析和因子分析方法的比较.统计与信息论坛,2006,21(5):19~22.
    [47]余锦华,杨维权.多元统计分析与应用.广州:中山大学出版社,2005.
    [48]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:218.
    [49]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:218~219.
    [50]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:219.
    [51]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:220.
    [52]蔡建琼,于惠芳,朱志洪等.Spss统计分析实例精选[M].北京:清华大学出版社,2006:336~349.
    [53]周立,吴玉鸣.中国区域创新能力:因素分析与聚类研究——兼论区域创新能力综合评价的因素分析替代方法[J].中国软科学,2006,(8):96~103.
    [54]张学才,郭瑞雪.情景分析方法综述[J].理论月刊,2005(8):125~126.
    [55]梁巧梅,魏一鸣,范英,Norio Okada.中国能源需求和能源强度预测的情景分析模型及其应用[J].管理学报,2004,(01).
    [56]曾忠禄,张冬梅.不确定环境下解读未来的方法:情景分析法[J].情报杂志,2005(5): 14~16.
    [57]岳珍,赖茂生.国外“情景分析”方法的进展[J].情报杂志,2006(7):59~64.
    [58]罗晓斐.从“油荒”到可持续发展——广东省能源结构调整策略[J].沿海企业与科技,2005(12):121.
    [59]夏泽义,张炜.中国能源消费与人口、经济增长关系的实证研究[J].人口与经济,2009,176(5):9~11.
    [60]余甫功.我国能源强度变化的因素分析——以广东作为案例[J].学术研究,2007,(2).
    [61]余甫功.第一经济大省何以成为第一能源节约大省[N].21世纪经济报道,2006-07-10.
    [62]叶雷.2020年中国电力可持续发展战略研究[J].中国电力,2003,36(10):1~7.
    [63]上海科学院.“2020年上海能源发展战略和能源安全研究”报告(R),2004,(11).
    [64]秦寿康.综合评价原理与应用.北京:电子工业出版社,2003.
    [65]任若恩,王惠文.多元统计数据分析—理论、方法、实例.北京:国防工业出版社,1997.
    [66]王文博,陈秀芝.多指标综合评价中主成分分析和因子分析方法的比较.统计与信息论坛,2006,21(5):19~22.
    [67]余锦华,杨维权.多元统计分析与应用.广州:中山大学出版社,2005.
    [68]Bertalanffy L.V.General Systems Theory[M].New York:GeorgeBraziller,Inc.,1973.
    [69]Bohi,Douglas R,Darmstadter,the Energy Upheavals of the 1970s,the Energy Crisis,the Hopkins University Press,baltmore,1996.
    [70]Clarence.P.Cazalot,The Oil Industry:Energy Transit and Security Issues[J].International Organization,2003,(11):319~338.
    [71]D.A.Dmese, JosePh S.N.Energy and Security.Cambradge Mass Ballinges, 1988:27~32.
    [72]Daniel H.Newlon,Norman V.Breckner.The Oil Security System:an import strategy for achieving oil security and reducing oil prices[M].Lexington Books, 1975.
    [73]Dieter Helm.Energy Policy,Security of Supply,Sustainability and Competition[J]. Energy Policy,2002,3(03):173~184.
    [74]EDIGERA V,AKAR S.ARIMA Forecasting of Primary Energy Demand by Fuel in Turkey[J].EnergyPolicy,2007,35(3):1 701~1708.
    [75]Edison.T.Richardson.A Portfolio Approach to Energy Planning[J].Annual Review of Energy and the Environment,2003,(15):76~92.
    [76]Eric D.Larson,Wu Zongxin, Pat DeLaquil.Future implications of China’s energy-technology choices[J]. Energy Policy,2003(31):1189~1204.
    [77]Asia Pacific Energy Research Centre (APERC). 2007. A quest for Energy Security in the 21st Century; Institute of energy economics, Japan. Available at: www.ieej.or.jp/aperc (Last accessed on 2009/1/18)
    [78]Berger A., R Hodge. 1998. Natural change in the environment: a challenge to the pressure-state-response concept. Social Indicators Research, 44(2): 255~265.
    [79]Blyth W., Lefevre N. 2004. Energy Security and Climate Change. International Energy Agency Information Paper.
    [80]Borja,I.Galparsoro,et al.2006.The European Water Framework Directive and the DPSIR, a methodological approach to assess the risk of failing to achieve good ecological status.Estuarine, Coastal and Shelf Science 66(1~2):84~96.
    [81]BP.2009.Statistical Review of World Energy June 2009.Available at:
    [82]Cabalu H.2010.Indicators of security of natural gas supply in Asia.Energy Policy,38(1):218~225.
    [83]Casazza G.,Silvestri C.,Spada E.,Melley A.2002.Coastal environment in Italy: preliminary approach using the‘DPSIR scheme’of indicators. Littoral 2002, The Changing Coast. EUROCOAST/EUCC, Porto, Portugal, pp. 541~550.
    [84]Clingendael International Energy Programme (CIEP). 2002. Study on Energy Supply Security and Geopolitics.Institute for International Relations‘Clingendael’, The Hague.
    [85]De Haan C.,H Steinfeld,et al.1997.Livestock & the environment:finding a balance, European Commission,Directorate-General for Development,Development Policy Sustainable Development and Natural Resources.
    [86]Deese D and J Nye.1988.Energy and security. Cambridge: Ballinger Publishing Co., P.5.
    [87]Dietz,T.and E.Rosa(1997).Effects of population and affluence on CO2 emissions. Proceedings of the National Academy of Sciences 94(1):175.
    [88]Dumanski J.,C Pieri.1994.Application of the Pressure-state-response Framework for the Land QualityIndicators(LQI)Programme.Available at: http://www.fao.org/docrep/W4745E/w4745e08.htm. (Last accessed 2009/6/23)
    [89]EEA.2005.EEA Core Set of Indicators-Guide.European Environment Agency, Copenhagen.Report No.1/2005,37pp.
    [90]Ehrlich,P.R.,Holdren, J.P.(1971).Impact of population growth [J].Science,1971, 171:1212~1217.
    [91]Elliott M.2002.The role of the DPSIR approach and conceptual models in marine environmental management:an example for offshore wind power.Marine pollution bulletin,44(6).
    [92]Fassio A.,C Giupponi,et al.2005.A decision support tool for simulating the effects of alternative policies affecting water resources:an application at the European scale.Journal of Hydrology,304(1~4):462~476.
    [93]Frondel M.,Schmidt C M.,2008.Measuring Energy Security—A Conceptual Note.Available at:http://repec.rwi-essen.de/files/REP_08_052.pdf(last accessed 2009/7/23)
    [94]Gobin A.,Jones R.,Kirkby M.et al.2004.Indicators for pan-European assessment and monitoring of soil erosion by water.Environmental Science and Policy,7:25~38.
    [95]Grubb M.,L Butler,et al.2006. Diversity and security in UK electricity generation:The influence of low-carbon objectives.Energy Policy,4(18):4050~4062.
    [96]Gupta E.2008.Oil vulnerability index of oil-importing countries.Energy Policy 36(3),1195~1211.
    [97]Le Coq C.and E Paltseva.2009.Measuring the security of external energy supply in the European Union.Energy Policy,37(11):4474~4481.
    [98]BP世界能源统计2009.
    [99]蔡国田,张雷.中国能源安全研究进展[J].地理科学进展,2005,24(06):79~87.
    [100]曹新.中国能源发展战略与石油安全对策研究[J].经济研究参考,2005,(57).
    [101]迟春洁,黎永亮.能源安全影响因素及测度指标体系的初步研究[J].哈尔滨工业大学学报,2004,(4):80~84.
    [102]刁秀华,中国能源安全:现状、特点与对策.东北财经大学学报,2009年第3期,50~55.
    [103]房树琼,杨保安,余垠.国家能源安全评价指标体系之构建[J].中国国情国力,2008,(3):32~36.
    [104]冯春萍.日本石油储备模式研究[J].现代日本经济.2004,133(1):55~59.
    [105]付瑞红.日本能源安全的国内体制保障与启示[J].国际关系学院学报,2009,(06).
    [106]王家枢.石油与国家安全[M].北京:地震出版社,2002.
    [107]王晓梅.中亚石油合作与中国能源安全战略[J].国际经济合作.2008,(6):41~46.
    [108]王幼莉.我国煤炭资源安全战略分析[J].煤炭经济研究.2007,(11):12~13.
    [109]魏臻博,刘欣.我国能源安全现状及对策研究[J].知识经济,2007,(09):58~60.
    [110]张生玲.中国的能源安全与评估[J].中国人口·资源与环境,2007,(06):101~104.
    [111]张文木.中国能源安全与政策选择[J].世界经济与政治,2003,(05):11~16.
    [112]杨向阳,明庆忠.基于DPSIR模型的生态补偿机理分析[J].西南林学院学报,2008,28(4): 118~121.
    [113]姚予龙,谷树忠.资源安全机理及其经济学解释[J].资源科学.2002,24(5):46~51.
    [114]于伯华,吕昌河.基于DPSIR模型的农业可持续发展宏观分析[J].中国人口·资源与环境,2004,14(5):68~72.
    [115]苏飞,张平宇.中国区域能源安全供给脆弱性分析[J].中国人口·资源与环境,2008,(06):94~99.
    [116]孙梅,田立新,孙俊.基于因子分析法的能源安全监测预警系统的构建[J].统计与决策, 2007,(13):65~66.
    [117]曾忠禄,张冬梅.不确定环境下解读未来的方法:情景分析法[J].情报方法,2005,(5):14~16.
    [118]陈书通.我国未来经济增长与能源消费关系分析[J].中国工业经济.1996.(9):21~26.
    [119]陈洋波,陈俊合,李长兴,冯智瑶.基于DPSIR模型的深圳市水资源承载能力评价指标体系[J].水利学报,2004,(7):98~103.
    [120]迟春洁.能源安全预警研究[J].统计与决策,2006,(22):29~31.
    [121]迟国泰,沈一侠,秦学志.基于对应分析的生态评价模型及典型省份的实证研究[J].中国管理科学.2009,17(3):183~192.
    [122]达松海.大力发展天然气改善我国能源结构[J].宏观经济研究.1987.04:42~44.
    [123]顾年华,尤丽霞.21世纪我国新能源开发展望[J].中国能源.2002.(1):37~38.
    [124]郭红连,黄懿瑜,马蔚纯,余琦,陈立民.战略环境评价(SEA)的指标体系研究[J].复旦学报(自然科学版).2003,42(3):468~475.
    [125]郭小哲,段兆芳.我国能源安全多目标多因素监测预警系统[J].资源经济.2005,02:13~15.
    [126]邹艳芬.国家能源供应安全的系统影响因素分析.内江科技,2007,(12):67~68.
    [127]邹艳芬.中国能源安全的战略模式导向[J].经济问题探索,2008,(05):7~11.
    [1] A. F. Alhajji. (2007).“Environment, Climate Change, Energy Economics and Energy Policy.”Energy & Environment 18(5): 549-564.
    [2] Willrich. Energy and world politics. New York: Free Press, 1975.
    [3] Daniel Yergin. (2006).“Ensuring Energy Security.”Foreign Affairs 85(2): 69-82.
    [4] Maull, Hanns W. Raw materials, energy and Western security. London: Macmillan Pr. Inc. , 1984.
    [5] David Deese, Joseph Nye. Energy and Security. Cambridge: Ballinger Publishing Co. , 1988.
    [6]魏一鸣等.中国能源报告(2006)[M].北京:科学出版社,2006.
    [7] Daniel Yergin. (2006).“Ensuring Energy Security.”Foreign Affairs 85(2): 69-82.
    [8] 2006年世界经济论坛·达沃斯
    [9] Kruyt& van Vuuren, et al. (2009).“Indicators for Energy Security.”Energy Policy 37(6): 2166-2181.
    [10]张雷.中国能源安全问题探讨[J].中国软科学,2001,(4):7-12.
    [11]数据根据2009年人口变动情况抽样调查数据推算
    [12]数据来源于:中国统计年鉴, 2010
    [13]数据来源于:中国能源统计年鉴, 1991-2008
    [14]数据来源于:BP, 2009
    [15]数据来源于:中国可再生能源发展战略研究项目组2008中国可再生能源发展战略研究丛书中国电力出版社北京
    [16]范秋芳.中国石油安全预警及对策研究[D].中国科学技术大学, 2007年.
    [17]能源强度是能源利用与经济或物力产出之比,亦称单位产值能耗。是指一个国家或地区、部门或行业单位产值一定时间内消耗的能源量。本文用万元GDP能耗来表示。
    [18]资料来源:BP发布的2009年最新能源统计数据。
    [19]数据来源于:中国统计年鉴, 2010
    [20]数据来源于:中国统计年鉴, 2004-2010
    [21]张雷,蔡国田.中国人口发展与能源供应保障探讨[J].中国软科学, 2005(11): 15-16.
    [22] W illiamson, Jeffrey, Growth. Distribution and Demography: Some Lessons from History[C]. Chambridge: Na-tionalBureau ofEconomicResearchWorkingPaperSeries,1997: 6244.
    [23]郝海,顾培亮,卢奇.中国和世界能源消费因素对比分析[J].中国能源, 2005(5): 37-39.
    [24]郎一环,沈镭.我国能源节约战略研究[J].中国人口·资源与环境, 2006, 16(2).
    [25] Bentzen J. Estimating the Rebound Effect in US Manufacturing Energy Consumption. Energy Economics, 2004(26): 123-134.
    [27]袁顺全,千怀遂.中国能源消费与气候变化的关系[J].地理学报(英文版), 2004,14(1).
    [29]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [30]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [31]姚予龙,谷树忠.中国资源安全动态评价与关键影响要素解析[A].2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会经济高速增长与中国的资源环境问题专辑[C],2006年.
    [32] A. Armillotta. Selection of layered manufacturing techniques by an adaptive AHP decision model. Robotics and Computer-IntegratedManufacturing. 2008, 24(3): 450~461.
    [33] M. J. Liberatore, R. L. Nydick. The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research. 2008, 189(1): 194~207.
    [34] L. J. Li, L. T. Shen. An improved multilevel fuzzy comprehensive evaluation algorithm for security performance. The Journal of China Universities of Posts and Telecommunications. 2006, 13(4): 48~53.
    [35] K. L. Wen. A Matlab toolbox for grey clustering and fuzzy comprehensive evaluation. Advances in Engineering Software. 2008, 39(2): 137~145.
    [36] G. J. Wu. A synthetical index of the potential threats about intense activities of meteors.New Astronomy. 2006, 12(1): 52~59.
    [37] S. J. Huang, N. H. Chiu and L. W. Chen. Integration of the grey relational analysis with genetic algorithm for software effort estimation. European Journal of Operational Research. 2008, 188(3): 898~909.
    [38] G. M Zeng, R. Jiang, G. H. Huang, et al. Optimization of wastewater treatment alternative selection byhierarchy grey relational analysis. Journal of Environmental Management. 2007, 82(2): 250~259.
    [39]秦寿康.综合评价原理与应用.北京:电子工业出版社,2003.
    [40] L. Pan, D. Flynn and M. Cregan. Sub-Space Principal Component Analysis for Power Plant Monitoring. Power Plants and Power Systems Control. 2006, 2007: 243~248.
    [41] X. G. Deng, X. M. Tian. Multivariate statistical process monitoring using multi-scale kernel principal component analysis. Fault Detection, Supervision and Safety of Technical Processes. 2006, 2007: 108~113.
    [42]王文博,陈秀芝.多指标综合评价中主成分分析和因子分析方法的比较.统计与信息论坛,2006,21(5):19-22.
    [43]余锦华,杨维权.多元统计分析与应用.广州:中山大学出版社,2005.
    [44]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:218.
    [45]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:218-219.
    [46]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:219.
    [47]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2004:220.
    [48]蔡建琼,于惠芳,朱志洪等.Spss统计分析实例精选[M].北京:清华大学出版社,2006:336-349.[Cai Jianqiong, Yu Huifang, ZhuZhihong et al. Featured Examples of Statistical Analysis by Spss[M]. Beijing:Tsinghua University Press, 2006:336-349.]
    [49]周立,吴玉鸣.中国区域创新能力:因素分析与聚类研究——兼论区域创新能力综合评价的因素分析替代方法[J].中国软科学,2006,(8): 96 - 103. [Zhou Li, Wu Yuming. Factor Analysis andCluster Study on Regional Innovation Capability of China’s 31Provinces—An Alternative to Synthetical Evaluation of Regional Innovation Capability with Factor Analysis[J]. China Soft Science,2006,(8):96-103.]
    [50]张学才,郭瑞雪.情景分析方法综述[ J ].理论月刊, 2005 (8):125-126.
    [51]梁巧梅,魏一鸣,范英,Norio Okada.中国能源需求和能源强度预测的情景分析模型及其应用[J].管理学报, 2004,(01) .
    [52]曾忠禄,张冬梅.不确定环境下解读未来的方法:情景分析法[ J ].情报杂志, 2005 (5):14-16.
    [53]岳珍,赖茂生.国外“情景分析”方法的进展[ J ].情报杂志, 2006 (7):59-64.
    [54]罗晓斐.从“油荒”到可持续发展——广东省能源结构调整策略[J].沿海企业与科技,2005(12):121.
    [55]夏泽义,张炜.中国能源消费与人口、经济增长关系的实证研究[J].人口与经济,2009,176(5):9-11.
    [56]余甫功.我国能源强度变化的因素分析——以广东作为案例[J].学术研究,2007,(2).
    [57]余甫功.第一经济大省何以成为第一能源节约大省[N].21世纪经济报道,2006-07-10.
    [58]叶雷.2020年中国电力可持续发展战略研究[J].中国电力,2003,36(10):1-7.
    [59]上海科学院.“2020年上海能源发展战略和能源安全研究”报告仁(R),2004年11月.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700