终端能源中电能消费及竞争力分析方法研究
|
摘要
电能作为一种优质、清洁能源,提高其在终端能源中的比重,对于优化终端能源消费结构,提高电气化水平具有十分重要的意义。通过对电能消费特性及竞争力的分析研究,为电能竞争力的有效提升提供基础依据,有助于终端能源中电能比重的提高,既可以提高电力企业经济效益,又具有综合的社会效益。
分析论述了电力产品和产业特性以及电能在能源消费中的地位和作用,并对国内外能源消费现状和特点及北京地区终端能源消费现状和特点进行了分析,从而为电能在终端能源中竞争力系统要素选择和分析评价指标体系构建提供基础依据。
针对电能消费序列呈现复杂变化规律且受环境影响显著的特点,提出基于经验模式分解和因素影响的电能消费序列分析方法。首先,利用经验模式分解方法将电能消费序列分解为若干独立分量;然后,利用多个指标从不同方面分析各分量特性;再通过各分量与影响因素的相关分析,分析环境因素对电能消费的作用;最后,结合各分量自身特性及环境因素对它们的影响分析,归纳出电能消费序列的构成成分,它们规律性显著且包含特征信息集中。实例证明该方法不仅可以挖掘电能消费序列的自身构成及变化特点,且能全面利用环境因素信息。
对电能消费需求进行预测建模研究。首先,提出一种基于因散经验模式分解的混合预测方法,通过对电能需求序列的分解和重构过程,将变动规律的序列解析为三个规律性较强的序列分量,继而对各分量分别进行建模预测。同时,还提出一种基于趋势拟合评判的多模型筛选方法,该方法既考虑到中长期电能需求预测侧重趋势预测的要求,又考虑到多模型有效性的判断问题,通过对灰色关联分析方法的改进,统一解决两方面要求,方法简单易行且有较好的预测效果。
针对电能在终端能源中竞争力要素涉及多个层面与环节,且相互之间影响关系复杂的特点,在确定了电能竞争力要素系统结构的23个宏观微观要素及其关联关系的基础上,利用解释结构模型化方法,得到电能在终端能源中竞争力要素的系统结构模型,描绘出各要素及子系统之间的层次关系,为研究的进一步深入提供了理论分析框架。
基于电能在终端能源中竞争力要素系统结构框架,创建了电能竞争力分析评价指标体系。从竞争结果、竞争实力和竞争潜力三个层面分别展开指标体系创建及评价工作,通过竞争结果评价把握电能消费的整体状况,对竞争实力与竞争潜力的分析评价则可以找到不同层面上影响电能竞争力的要素,从而针对这些要素制定提升策略,以有效提升电能竞争力。在指标体系构建的基础上,给出了分析评价方法与评价流程。
It is very important to increase proportion of electric power among the end-use energy market for optimization of end-use energy consumption structure. The research on consumption characteristic and competitive capacity of electric power can provide strong support for upgrading electric power competitive capacity, which can increase the electric power proportion among end-use energy, and the power enterprises’economic benefit and social effect can be increased.
The characteristic of electric power and its importance among the energy market were summarized. Meanwhile, the consumption actuality and characteristic of global world was analyzed, especially for Beijing, which can buildup the foundation for choosing of principle components and indexes for competitive capacity evaluation system about electric power in the end-use energy.
To counter the complexity of electric power consumption serial, a novel approach for load analysis was presented based on empirical mode decomposition (EMD) and influencing factors. The load sequence was decomposed into several intrinsic modes intuitive, the local characteristic information of load can be reflected by them respective. And several measures were adopted to analyze the regularity of the intrinsic modes. Based on the above procedures, the correlations between the intrinsic modes and environmental factors were studied to mine the degree of different factor influence on the modes. The components of the load were concluded with their characteristics discussed in detail. A case studied shows that with the proposed method the characteristics and influential factors of load can be probed deeper.
The model research was take for electric power requirement forecasting. Firstly, an ensemble empirical mode decomposition (EEMD) based hybrid power load forecasting method was proposed. Through the method, the objective series can be decomposed to several independent intrinsic modes adaptively, and these intrinsic modes are reconstructed as three components based on fine-to-coarse. On the basis of analyzing the features of these components, which are forecasted by respective models. Meanwhile, A novel method of multi-model sifting based on evaluation of trend comparability was presented. The degree of trend comparability between each forecasting curve and actual curve was calculated through the improved gray relation analysis. Thus, the gray relationship degree was got which reflects the optimality of an individual forecasting model. Reference to the value of each gray relationship degree, the better models were chosen from multiple candidate ones. Finally, the integrated optimum model was built with the models sorted out.
23 principle components were chosen which belong to the system of competitive capacity about electric power in the end-use energy market, and the relationship among them were defined. Adopting interpretative structural modeling(ISM), the layered structure diagram of system above-mentioned was constructed to support further investigation.
The evaluation index system of competitive capacity about electric power in the end-use energy market is constructed included three parts, i.e., competitive results, competitive capacity and competitive potential. From competitive result, the whole picture of electric power consumption can be figured out; and from other two, the factors can be picked out which pivotal influence the competitive capacity of electric power. According to the picked factor, strategy can be established to improve competitive capacity. Based on the building of index system, the evaluation method and flow were provided at the end.
分析论述了电力产品和产业特性以及电能在能源消费中的地位和作用,并对国内外能源消费现状和特点及北京地区终端能源消费现状和特点进行了分析,从而为电能在终端能源中竞争力系统要素选择和分析评价指标体系构建提供基础依据。
针对电能消费序列呈现复杂变化规律且受环境影响显著的特点,提出基于经验模式分解和因素影响的电能消费序列分析方法。首先,利用经验模式分解方法将电能消费序列分解为若干独立分量;然后,利用多个指标从不同方面分析各分量特性;再通过各分量与影响因素的相关分析,分析环境因素对电能消费的作用;最后,结合各分量自身特性及环境因素对它们的影响分析,归纳出电能消费序列的构成成分,它们规律性显著且包含特征信息集中。实例证明该方法不仅可以挖掘电能消费序列的自身构成及变化特点,且能全面利用环境因素信息。
对电能消费需求进行预测建模研究。首先,提出一种基于因散经验模式分解的混合预测方法,通过对电能需求序列的分解和重构过程,将变动规律的序列解析为三个规律性较强的序列分量,继而对各分量分别进行建模预测。同时,还提出一种基于趋势拟合评判的多模型筛选方法,该方法既考虑到中长期电能需求预测侧重趋势预测的要求,又考虑到多模型有效性的判断问题,通过对灰色关联分析方法的改进,统一解决两方面要求,方法简单易行且有较好的预测效果。
针对电能在终端能源中竞争力要素涉及多个层面与环节,且相互之间影响关系复杂的特点,在确定了电能竞争力要素系统结构的23个宏观微观要素及其关联关系的基础上,利用解释结构模型化方法,得到电能在终端能源中竞争力要素的系统结构模型,描绘出各要素及子系统之间的层次关系,为研究的进一步深入提供了理论分析框架。
基于电能在终端能源中竞争力要素系统结构框架,创建了电能竞争力分析评价指标体系。从竞争结果、竞争实力和竞争潜力三个层面分别展开指标体系创建及评价工作,通过竞争结果评价把握电能消费的整体状况,对竞争实力与竞争潜力的分析评价则可以找到不同层面上影响电能竞争力的要素,从而针对这些要素制定提升策略,以有效提升电能竞争力。在指标体系构建的基础上,给出了分析评价方法与评价流程。
It is very important to increase proportion of electric power among the end-use energy market for optimization of end-use energy consumption structure. The research on consumption characteristic and competitive capacity of electric power can provide strong support for upgrading electric power competitive capacity, which can increase the electric power proportion among end-use energy, and the power enterprises’economic benefit and social effect can be increased.
The characteristic of electric power and its importance among the energy market were summarized. Meanwhile, the consumption actuality and characteristic of global world was analyzed, especially for Beijing, which can buildup the foundation for choosing of principle components and indexes for competitive capacity evaluation system about electric power in the end-use energy.
To counter the complexity of electric power consumption serial, a novel approach for load analysis was presented based on empirical mode decomposition (EMD) and influencing factors. The load sequence was decomposed into several intrinsic modes intuitive, the local characteristic information of load can be reflected by them respective. And several measures were adopted to analyze the regularity of the intrinsic modes. Based on the above procedures, the correlations between the intrinsic modes and environmental factors were studied to mine the degree of different factor influence on the modes. The components of the load were concluded with their characteristics discussed in detail. A case studied shows that with the proposed method the characteristics and influential factors of load can be probed deeper.
The model research was take for electric power requirement forecasting. Firstly, an ensemble empirical mode decomposition (EEMD) based hybrid power load forecasting method was proposed. Through the method, the objective series can be decomposed to several independent intrinsic modes adaptively, and these intrinsic modes are reconstructed as three components based on fine-to-coarse. On the basis of analyzing the features of these components, which are forecasted by respective models. Meanwhile, A novel method of multi-model sifting based on evaluation of trend comparability was presented. The degree of trend comparability between each forecasting curve and actual curve was calculated through the improved gray relation analysis. Thus, the gray relationship degree was got which reflects the optimality of an individual forecasting model. Reference to the value of each gray relationship degree, the better models were chosen from multiple candidate ones. Finally, the integrated optimum model was built with the models sorted out.
23 principle components were chosen which belong to the system of competitive capacity about electric power in the end-use energy market, and the relationship among them were defined. Adopting interpretative structural modeling(ISM), the layered structure diagram of system above-mentioned was constructed to support further investigation.
The evaluation index system of competitive capacity about electric power in the end-use energy market is constructed included three parts, i.e., competitive results, competitive capacity and competitive potential. From competitive result, the whole picture of electric power consumption can be figured out; and from other two, the factors can be picked out which pivotal influence the competitive capacity of electric power. According to the picked factor, strategy can be established to improve competitive capacity. Based on the building of index system, the evaluation method and flow were provided at the end.
引文
[1]迈克尔·波特著,陈小悦译.竞争战略:分析产业和竞争者的技巧[M].华夏出版社,1997.
[2]裴长洪.利用外资和产业竞争力[M].社会科学文献出版社,1998.
[3]张超.提升产业竞争力的理论和对策探微[J].宏观经济研究,2002(5):19-20.
[4]金碚等.竞争力经济学[M].广东经济出版社,2003.
[5]裴长洪,王镭.试论国际竞争力理论概念与分析方法[J].中国工业经济,2002(4):41-45.
[6]穆荣平.中国高技术产业国际竞争力评价研究[M].科学出版社,2000.
[7]吕铁.80年代以来我国加工工业增长效率的实证分析[J].中国工业经济,1997(9): 35-39.
[8]江兵.高技术产品国际市场竞争力中外比较和分析[J].中国软科学,2000(2):70-72.
[9]高长元,王宏起.高新技术产品评价系统研究[J].系统工程理论与实践,1999(2):82-87.
[10]陈春宝,杨德林.利用高技术创造我国产品国际竞争优势[J].财贸经济,1997(1):44-47.
[11]彭丽红.管理竞争力[M].经济科学出版社,2006.
[12]王秉安,陈振华,叶穗山.区域竞争力理论与实证[M].航空工业出版社,2000.
[13] World Economic Forcum. The Global Competitiveness Report[R],1985.
[14] World Economic Forcum. The Global Competitiveness Report[R],1994.
[15]王毅.企业核心能力理论探源与述评[J].科技管理研究,2000(5):5-8.
[16]森谷正规.日本的技术-以最少的耗费取得最好的成就[M].上海:翻译出版公司,1998.
[17]武鹏,陈圻.产品竞争力因素研究述评[J].价值工程理论与应用,2003(5):36-42.
[18] David M. Anderson, B. Joseph Pine II. Agile product development for mass customization: how to develop and deliver products for mass customization, niche markets, JIT, building-to-order and flexible manufacturing[M]. Mc-Graw-Hill Co.,1997.
[19]杨曾武等.工业产品竞争能力的定量描述[J].统计与管理,1991(2):24.
[20]韩松.产品竞争力的综合评价[J].技术经济与管理研究,1998(4):30-32.
[21]克里斯蒂·福斯,汉娜·哈姆森.成功的关键因素研究-资源基础论及其新阐释[A].企业万能-面向企业的能力理论[C],东北大学出版社,1998.
[22] W.Pfahler,H.Wiese.市场竞争中的企业策略[M].上海社会科学院出版社,2002.
[23] Soyster,A.L, Gordon,R.L. Evaluation of the competitiveness of the US coal market[J]. Energy Economics,1985(1):3-8.
[24] Marshall,Roger. Competitiveness of the Australian coal industry[J].Australian mining,1984(12):13-15.
[25] Atkinson,T, Richards,M.J. UK coal mining in prospect[J]. Mining Techonology,1999,71(8):249-254.
[26]潘伟尔.试论我国煤炭企业集团发展战略[J].中国煤炭,1997(4):26-33.
[27]朱敏.刍议煤炭企业集团的国际化经营[J].煤炭现代化,2000(2):8-11.
[28]吴国华.我国煤炭产业国际竞争力评议[J].煤炭经济研究,2001(9):21-23.
[29]郭俊秀.培育和发展具有核心竞争力的大型煤炭企业集团.煤炭经济研究,2002(12):20-21.
[30]刘毅军,汪海.对美国天然气市场的竞争性分析[J].天然气工业,2002(1):100-102.
[31]朱和.中国石油石化提高国际竞争力的几个问题[J].中国石油和化工,2001(11):8-12.
[32]王宇奇.中国石油工业的国际竞争力对比分析[J].工业技术经济,2002(4):52-55.
[33]张立.中外石油企业国际竞争力对比[J].经济管理,2006(7):84-86.
[34]张继伟.石油、石化集团公司国际竞争力比较[J].石油企业管理,1998(9):40-42.
[35]胡尧良.我国石油化工企业的国际竞争力分析[J].当代石油石化,2002,10(4):16-23.
[36]李君发.对我国三大石油公司国际竞争力的分析研究[J].化工技术经济,2002,20(5):9-23.
[37]国电动经中心发电企业竞争力研究课题组.发电企业竞争力评价及指标体系探讨[J].电力技术经济,2003(1):25-28.
[38]国电动经中心发电企业竞争力研究课题组.火电厂竞争力评价与分析[J].电力技术经济,2003(1):28-31.
[39]张立辉,顾蓉,伍业峰等.企业竞争力分析模型及在发电企业中的应用[J].工业技术经济,2005,24(5):105-107.
[40]刘敬山,孙敏.发电企业核心竞争力评价体系研究[J].华北电力大学学报(社会科学版),2006(1):54-58.
[41]班保宇,王博.独立发电公司的市场营销[J].中国电力企业管理,2001(7):23-24.
[42]华强森,徐浩洵,王炬等.发电企业将本增效的五大杠杆[J].中国电力企业管理,2003(11):57-58.
[43]马洪.深圳能源集团发展的战略思考[J].管理世界,2001(4):188-196.
[44]张立辉,李寒芳等.发电企业经营绩效及其影响因素探悉[J].经济师,2005(1):174-175.
[45]张立辉,韩金山,谭忠富,李寒芳.发电上市公司经营绩效与高管薪酬的相关性分析模型.中国管理科学,2005,13(3):119-125.
[46]王金详,吴育华.基于超效率DEA模型的电力公司效率评价[J].东北电力学院学报,2004,24(4):22-25.
[47]毕研勤,朱传宝.电力企业上市公司基本面综合评价[J].华北电力大学学报(社会科学版),2006(1):50-53.
[48]李岩峰,牛东晓,黄保国.电力营销效果评价指标体系研究[J].华北电力大学学报(社会科学版),2005(3):51-53.
[49]陈立荣,郭继伟,王敬敏.基于熵权的灰色关联分析在电力企业竞争评价中的应用[J].电力学报,2005,20(4):359-361.
[50]贾秀芹.模糊数学模型在电力上市公司业绩评价中的应用[J].青海大学学报(自然科学版),2006,24(3):73-75.
[51]冯丽霞,范奇芳.因子分析在电力上市公司经营业绩评价中的应用[J].长沙理工大学学报(社会科学版),2006,21(2):73-75.
[52]牛东晓,卢昆娟,孟明.上市电力公司业绩的一种评价方法[J].运筹与管理,2006,15(1):92-96.
[53]中电联调研部.努力提高电力在终端能源消费中的比重[J].《电力需求侧管理》,1999(2):38.
[54]戴平生.能源替代工程与电价[J].电力需求侧管理,2000(4):40-41.
[55]朱成章.能源替代与电力促销[J].电力需求侧管理,2000(5):7-10.
[56]刘建平.中国电力产业政策与产业发展.北京:中国电力出版社,2006.
[57]朱成章.世界电力工业的发展趋势[J].农电管理,2004(1):41-42.
[58]王金南,曹东等.能源与环境中国2020[M].北京:中国环境科学出版社,2004.
[59]韩文科,胡秀莲,高世宪等.中国能源消费结构变化趋势及调整对策[M].北京:中国计划出版社,2007.
[60] Yao S J,Song Y H,Zhang L Z.Wavelet transform and neural networks for short-term electrical load forecasting[J].Energy Conversion and Management.2000,41(18):1975-1988.
[61]谢宏,陈志业,牛东晓,等.基于小波分解与气象因素影响的电力系统日负荷预测模型研究[J].中国电机工程学报,2001,21(5):6-10.
[62]邰能灵,侯志俭,李涛,等.基于小波分析的电力系统短期负荷预测方法[J].中国电机工程学报,2003,23(1):45-50.
[63] Fryzlewicz P,Bellegem S V,Sachs R V.Forecasting non-stationary time series by wavelet process modelling[J].Annals of the Institute of Statistical Mathematics,2003,55(4):737-764.
[64]穆钢,侯凯元,杨右虹,等.负荷预报中负荷规律性评价方法的研究[J].中国电机工程学报,2001,21(10):96-101.
[65]杨正瓴,张广涛,陈红新,等.短期负荷预测“负荷趋势加混沌”法的参数优化[J].电网技术,2005,29(4):27-30.
[66]杨正瓴,林孔元,余贻鑫.短期负荷预报的“双周期加混沌”法中的子模型优选理论探讨[J].电网技术,2003,27(5):33-36.
[67]周晨赓.几种信号分析方法对非线性、非平稳信号分析效果的比较[J].山东电子,2003,(4):43-45.
[68]牛东晓,谷志红,邢棉,等.基于数据挖掘的SVM短期负荷预测方法研究[J].中国电机工程学报,2006,26(18):6-12.
[69] Contax E G, Kavatza S.Application of a weather-sensitive peak load forecasting model to the Hellenic system[C].Proceeding of the 12th IEEE Mediterranean,Electrotechnical Conference,Melecon,2004,3:819-822.
[70]朱陶业,李应求,张颖,等.提高时间序列气象适应性的短期电力负荷预测算法[J].中国电机工程学报,2006,26(23):14-19.
[71]李天云,高磊,聂永辉,等.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006,26(15):29-34.
[72]郝志华,马孝江.局域波法和独立成分分析在转子系统故障诊断上的应用[J].中国电机工程学报,2005,25(3):84-88.
[73]于德介,陈淼峰,程军圣,等.一种基于经验模式分解与支持向量机的转子故障诊断方法[J].中国电机工程学报,2006,26(16):162-167.
[74] Huang N E,Shen Z,Long S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proceedings of the Royal Society of London,Series A,1998,454:903-995.
[75] Wu Z,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Proceedings of the Royal Society of London,Series A,2004,460:1597-1611.
[76]梁强,范英,魏一鸣.基于小波分析的石油价格长期趋势预测方法及其实证研究[J].中国管理科学,2005,13(1):30-36.
[77] Huang,N.E.,Wu,Z. An adaptive data analysis method for nonlinear and nonstationary time series:the empirical mode decomposition and hibert sepectual analysis.Proceedings of the 4th international conference on wavelet and its application,Macao,2005
[78] Huang,N.E.,Wu,M.L.,etc. Application of Hilbert-Huang transform to nonstationary financial time series analysis. Applied stochastic models in business and industry 19,245-268
[79] Wu Z,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Centre for Ocean-Land- Atmosphere Studies,Technical Report,2005,(193):51.http://www.iges.org/pubs/tech.html.
[80] Zhang Xun,Lai K K.A new approach for crude oil price analysis based on Empirical Mode Decomposition[J].Energy Economics,2008,30(3):905-918.
[81] Chen Bo-Juen,Chang Ming-Wei,Lin Chih-Jen.Load forecasting using support vector machines:a study on EUNITE competition 2001[J].IEEE Trans on Power Systems,2004,19(4):1821-1830.
[82]徐国祥.统计预测与决策[M].上海:上海财经大学出版社,2001.
[83]牛东晓,曹树华,赵磊,等.电力负荷预测技术及其应用[M].北京:中国电力出版社, 2001.
[84]牛东晓,陈志业,邢棉等.具有二重趋势性的季节型电力负荷预测组合优化灰色神经网络模型[J].中国电机工程学报,2002,22(1):29-32.
[85]康重庆,夏清,沈瑜,相年德.电力系统负荷预测的综合模型[J].清华大学学报(自然科学版), 1999,39(1):8-11.
[86]顾洁.电力系统中长期负荷的可变权综合预测模型[J].电力系统及其自动化学报,2003,15(6):56-60.
[87]高峰,康重庆,夏清等.负荷预测中多模型的自动筛选方法[J].电力系统自动化,2004,28(6):11-13.
[88]邓聚龙.灰色系统理论.武汉:华中理工大学出版社,1990.
[89] Warfield J N.Participative methodology for public system planning[J]. Computers & Electrical Engineering, 1973,1(1): 23-40
[90] B.Satish, K.S.Swarup, S.Srinivas, A.Hanumantha Rao. Effect of temperature on short term load forecasting using an integrated ANN[J]. Electric Power System Research,2004,72(2004): 95-101.
[91] Chow T W S, Leung C T. Neural network based short-term load forecasting using weather compensation[J]. IEEE Trans on Power System. 1996.11(4): 1736-1742.
[92] H.M.AL-Hamadi, S.A.Soliman. Long-term/mid-term electric load forecasting based on short-term correlation and annual growth[J]. Electric Power Systems Research,2005,74(2005): 353-361
[93] Weigen, Andress S. Time serried analysisi and prediction using gated experts with application to energy demand forecasts[J] . Applied Artificial Intelligence , 1996(11-12):583-624
[94] Soresen , bent . Non-linear modeling of integrated supply and demand systems[J]. International Journal of Global Energy Issues, 1999(1):131-137
[95] S.Y., Dong. Energy demand projections based on an uncertain dynamic system modeling approach[J]. Energy Source, 2000(7):443-451
[96] Benjamin Warr, Robert Ayres. REXS: A forecasting model for assessing the impact of natural resource consumption and technological change on economic growth[J].Structural Change and Economic Dynamics,2005
[97]达庆利,何建敏.大系统理论和方法[M].南京:东南大学出版社,1989.
[98] Warfield J N. Participative methodology for public system planning[J], Computers & Electrical Engineering, 1973, 1(1): 23-40.
[99]汪应洛.系统工程[M].北京:机械工业出版社,1986.
[100]汪应洛.系统工程理论、方法与应用[M].北京:高等教育出版社,1992.
[101]韩金山.中国电力产业经济稳定性问题研究[D].天津:天津大学,2005.
[102]白利超,康重庆,夏清等.不确定性电价分析[[J].中国电机工程学报,2002, 22(5): 37-41
[103]汤萌,沐明.电力市场化改革与电力产业的可持续发展[[J].中国软科学,2003, 12:22-26.
[104]徐金发,朱晓燕.中国电力管制价格形成机制研究[[J].中国软科学,2002, (6):45-48.
[105]谭忠富,刘严,杨力俊,方惠.以电价为纽带的中国电力产业价值链优化研究[[J].中国软科学,2004,10:30-35.
[106]韩慧芳.电价管理现状及电价改革的基本思路[[J].价格理论与实践,2001,1:27-28.
[107]侯文兰.输配电定价的经济学分析和政府管制[[J].华东电力,2001,5:21-22.
[108]王亚欣.电力工业与可持续发展:节约资源和环境保护[[J].世界地理研究,2000, 9(1): 87-93.
[109]别林登R.著,周家启,任震译.电力系统可靠性评估[M].重庆:科学技术文献出版社重庆分社,1986.
[110]王恒山.具有能量存储系统的电力系统经济模型研究[[J].上海理工大学学报,2002, 24(2):158-162.
[111] Sauer P W, Grijialva Santiage. Error Analysis in Electric Power System Available Transfer Capability Computation, Decision Support System, 1999(24):321-330.
[112]汤振飞,于尔铿,唐国庆.电力市场输电阻塞管理[[J].电力系统自动化,2001,12:13-16.
[113]张永平,焦连伟,陈寿孙.电力市场阻塞管理综述[[J].电网技术,2003, 27 (8): 1-10
[114]谢开,于尔铿,刘广一,宋永华.电力市场中的输电服务(二)---AS及其定价[[J].电网技术,1997,21(4):58-63.
[115] Lynch Clemmons, Vincent Kaminski and Joseph H. Hrgovicic, Weather Derivatives: Hedging Mother Nature, Insurance and Weather Derivatives: from Exotic Option to Exotic Underlyings, edited by Geman, H, London,published by Risk Book, a division of Risk Publications, 1999.
[116]吴宗鑫,陈文颖.以煤为主多元化的清洁能源战略[M].北京:清华大学出版社,2001.
[117]赵希正.电力环保的形势与任务[[J].中国电力企业管理,2002, 8: 16-18.
[118]王志轩,叶雷.发展循环经济促进电力上业可持续发展[[J].中国电力,2004, 37(11): 1-5.
[119]王志轩.我国电力工业环境保护现状与展望[J].中国电力,1999,32:46-51.
[120]薛联芳.电力工业可持续发展与环境保护[[J].水力发电,2000,1:6-9.
[121]夏清,彭涛,周石安等.保证电力供需长期均衡的措施研究[J].电力系统自动化,2004,28(6):1-6.
[122]江克宜,钟林.电力服务营销[M].北京:中国电力出版社,2004.
[123]刘秋华.电力市场营销管理[M].北京:中国电力出版社,2007.
[124]陈勇,骆建艳.供应链的竞争环境研究[J].华东船舶工业学院学报(自然科学版),2004,18(5):90-93
[125]薛正亮,季建华.供应链竞争环境分析模型[J].技术经济与管理研究,2003,(2):22-24
[126]郭建新.我国天然气城市输配运营市场结构_行为_绩效与投资机会研究[D].同济大学,2006
[127]中国能源发展战略与政策研究课题组.中国能源发展战略与政策研究[M].经济科学出版社,2004
[128]林伯强.中国能源发展报告[M].中国计量出版社,2006
[129]张立辉.发电企业竞争力分析[M].北京:经济管理出版社,2007.
[130]刘金碧.供电企业核心竞争力探讨[J].大众用电,2004,12:12-13.
[131]张小辉,王先甲.竞争因素对输配电企业激励性管制的影响[J].2007,31(7):65-70.
[132]朱成章.对我国在电气化指标计算中存在问题的探讨[J].2000,2:12-15.
[133]刘军.需求侧管理评价指标体系及评价模型[J].华北电力技术,2003(7):10-12.
[134]刘敬山,孙敏.发电企业核心竞争力评价体系研究[J].华北电力大学学报(社会科学版),2006(1):54-58.
[135]韩智勇,魏一鸣,范英.中国能源强度与经济结构变化特征研究[J].数理统计与管理,2004,23(1):1-6.
[136]齐志新,陈文颖,吴宗鑫.工业轻重结构变化对能源消费的影响[J].中国工业经济,2007,2:35-42.
[137]卫平,等.中国光电子产业竞争力评价和分析[J].北京:中国标准出版社,2007.
[138]张文泉.我国能源发展战略探讨.石油管理干部学院学报,2004,11(2):14～17
[139]张金昌.国际竞争力评价的理论和方法.北京:经济科学出版社.
[140]中国可持续发展战略研究组.中国可持续发展战略报告[M].北京:科学出版社,2006
[141] B. W. Ang. The LMDI approach to decomposition analysis: apractical guide[J]. Energy Policy, 2005, 33: 867-871.
[142] Volkan S. Ediger, Ozkan Huvaz. Examing the sectoral energy use in Turkish economy (1980-2000) with the help of decomposition anlysis[J]. Energy Coversion and Management, 2006, 47:732-745.
[143] B. W. Ang, Na Liu. Handling zero values in the logarithmic mean Divisia index decomposition approach[J]. EnergyPolicy, inpress.
[144] B. W. Ang, Na Liu. Negative-value problems of the logarithmic mean Divisia index decomposition approach[J]. EnergyPolicy, inpress.
[145] B.W.Ang.Decomposition analysis for policymaking in energy: which is the preferred method [J]. Energy Policy, 2004, 32: 1131-1139.
[146] Anderson, Eugene W. Customer Satisfaction and Price Tolerance[J]. MarketingLetters, 1996.
[147] Bagozzi, Richard P. The Nature and Causes of Self-esteem, Performance, and Satisfaction in the Sales Force: A Structural Equation Approach[J]. Journal of Business, 1980.
[148] Fornell, Claes, Johnson, Michael D. The American Customer Satisfaction Index: Nature, Purpose, and Findings[J]. Journal of Marketing, 1996.
[149] Fornell, Claes, Robinson, William T. Industrial Organization and Consumer Satisfaction/Dissatisfaction[J].Journal of Consumer Research,1983.
[150] Lopo Leotte Rego. The Relationship Market Structure Efficiency from a Customer Satisfaction Perspective[J]. Advances in Consumer Research, 1998.
[151]陈卫平.中国农业国际竞争力-理论、方法与实证研究[M].北京:中国人民大学出版社.
[2]裴长洪.利用外资和产业竞争力[M].社会科学文献出版社,1998.
[3]张超.提升产业竞争力的理论和对策探微[J].宏观经济研究,2002(5):19-20.
[4]金碚等.竞争力经济学[M].广东经济出版社,2003.
[5]裴长洪,王镭.试论国际竞争力理论概念与分析方法[J].中国工业经济,2002(4):41-45.
[6]穆荣平.中国高技术产业国际竞争力评价研究[M].科学出版社,2000.
[7]吕铁.80年代以来我国加工工业增长效率的实证分析[J].中国工业经济,1997(9): 35-39.
[8]江兵.高技术产品国际市场竞争力中外比较和分析[J].中国软科学,2000(2):70-72.
[9]高长元,王宏起.高新技术产品评价系统研究[J].系统工程理论与实践,1999(2):82-87.
[10]陈春宝,杨德林.利用高技术创造我国产品国际竞争优势[J].财贸经济,1997(1):44-47.
[11]彭丽红.管理竞争力[M].经济科学出版社,2006.
[12]王秉安,陈振华,叶穗山.区域竞争力理论与实证[M].航空工业出版社,2000.
[13] World Economic Forcum. The Global Competitiveness Report[R],1985.
[14] World Economic Forcum. The Global Competitiveness Report[R],1994.
[15]王毅.企业核心能力理论探源与述评[J].科技管理研究,2000(5):5-8.
[16]森谷正规.日本的技术-以最少的耗费取得最好的成就[M].上海:翻译出版公司,1998.
[17]武鹏,陈圻.产品竞争力因素研究述评[J].价值工程理论与应用,2003(5):36-42.
[18] David M. Anderson, B. Joseph Pine II. Agile product development for mass customization: how to develop and deliver products for mass customization, niche markets, JIT, building-to-order and flexible manufacturing[M]. Mc-Graw-Hill Co.,1997.
[19]杨曾武等.工业产品竞争能力的定量描述[J].统计与管理,1991(2):24.
[20]韩松.产品竞争力的综合评价[J].技术经济与管理研究,1998(4):30-32.
[21]克里斯蒂·福斯,汉娜·哈姆森.成功的关键因素研究-资源基础论及其新阐释[A].企业万能-面向企业的能力理论[C],东北大学出版社,1998.
[22] W.Pfahler,H.Wiese.市场竞争中的企业策略[M].上海社会科学院出版社,2002.
[23] Soyster,A.L, Gordon,R.L. Evaluation of the competitiveness of the US coal market[J]. Energy Economics,1985(1):3-8.
[24] Marshall,Roger. Competitiveness of the Australian coal industry[J].Australian mining,1984(12):13-15.
[25] Atkinson,T, Richards,M.J. UK coal mining in prospect[J]. Mining Techonology,1999,71(8):249-254.
[26]潘伟尔.试论我国煤炭企业集团发展战略[J].中国煤炭,1997(4):26-33.
[27]朱敏.刍议煤炭企业集团的国际化经营[J].煤炭现代化,2000(2):8-11.
[28]吴国华.我国煤炭产业国际竞争力评议[J].煤炭经济研究,2001(9):21-23.
[29]郭俊秀.培育和发展具有核心竞争力的大型煤炭企业集团.煤炭经济研究,2002(12):20-21.
[30]刘毅军,汪海.对美国天然气市场的竞争性分析[J].天然气工业,2002(1):100-102.
[31]朱和.中国石油石化提高国际竞争力的几个问题[J].中国石油和化工,2001(11):8-12.
[32]王宇奇.中国石油工业的国际竞争力对比分析[J].工业技术经济,2002(4):52-55.
[33]张立.中外石油企业国际竞争力对比[J].经济管理,2006(7):84-86.
[34]张继伟.石油、石化集团公司国际竞争力比较[J].石油企业管理,1998(9):40-42.
[35]胡尧良.我国石油化工企业的国际竞争力分析[J].当代石油石化,2002,10(4):16-23.
[36]李君发.对我国三大石油公司国际竞争力的分析研究[J].化工技术经济,2002,20(5):9-23.
[37]国电动经中心发电企业竞争力研究课题组.发电企业竞争力评价及指标体系探讨[J].电力技术经济,2003(1):25-28.
[38]国电动经中心发电企业竞争力研究课题组.火电厂竞争力评价与分析[J].电力技术经济,2003(1):28-31.
[39]张立辉,顾蓉,伍业峰等.企业竞争力分析模型及在发电企业中的应用[J].工业技术经济,2005,24(5):105-107.
[40]刘敬山,孙敏.发电企业核心竞争力评价体系研究[J].华北电力大学学报(社会科学版),2006(1):54-58.
[41]班保宇,王博.独立发电公司的市场营销[J].中国电力企业管理,2001(7):23-24.
[42]华强森,徐浩洵,王炬等.发电企业将本增效的五大杠杆[J].中国电力企业管理,2003(11):57-58.
[43]马洪.深圳能源集团发展的战略思考[J].管理世界,2001(4):188-196.
[44]张立辉,李寒芳等.发电企业经营绩效及其影响因素探悉[J].经济师,2005(1):174-175.
[45]张立辉,韩金山,谭忠富,李寒芳.发电上市公司经营绩效与高管薪酬的相关性分析模型.中国管理科学,2005,13(3):119-125.
[46]王金详,吴育华.基于超效率DEA模型的电力公司效率评价[J].东北电力学院学报,2004,24(4):22-25.
[47]毕研勤,朱传宝.电力企业上市公司基本面综合评价[J].华北电力大学学报(社会科学版),2006(1):50-53.
[48]李岩峰,牛东晓,黄保国.电力营销效果评价指标体系研究[J].华北电力大学学报(社会科学版),2005(3):51-53.
[49]陈立荣,郭继伟,王敬敏.基于熵权的灰色关联分析在电力企业竞争评价中的应用[J].电力学报,2005,20(4):359-361.
[50]贾秀芹.模糊数学模型在电力上市公司业绩评价中的应用[J].青海大学学报(自然科学版),2006,24(3):73-75.
[51]冯丽霞,范奇芳.因子分析在电力上市公司经营业绩评价中的应用[J].长沙理工大学学报(社会科学版),2006,21(2):73-75.
[52]牛东晓,卢昆娟,孟明.上市电力公司业绩的一种评价方法[J].运筹与管理,2006,15(1):92-96.
[53]中电联调研部.努力提高电力在终端能源消费中的比重[J].《电力需求侧管理》,1999(2):38.
[54]戴平生.能源替代工程与电价[J].电力需求侧管理,2000(4):40-41.
[55]朱成章.能源替代与电力促销[J].电力需求侧管理,2000(5):7-10.
[56]刘建平.中国电力产业政策与产业发展.北京:中国电力出版社,2006.
[57]朱成章.世界电力工业的发展趋势[J].农电管理,2004(1):41-42.
[58]王金南,曹东等.能源与环境中国2020[M].北京:中国环境科学出版社,2004.
[59]韩文科,胡秀莲,高世宪等.中国能源消费结构变化趋势及调整对策[M].北京:中国计划出版社,2007.
[60] Yao S J,Song Y H,Zhang L Z.Wavelet transform and neural networks for short-term electrical load forecasting[J].Energy Conversion and Management.2000,41(18):1975-1988.
[61]谢宏,陈志业,牛东晓,等.基于小波分解与气象因素影响的电力系统日负荷预测模型研究[J].中国电机工程学报,2001,21(5):6-10.
[62]邰能灵,侯志俭,李涛,等.基于小波分析的电力系统短期负荷预测方法[J].中国电机工程学报,2003,23(1):45-50.
[63] Fryzlewicz P,Bellegem S V,Sachs R V.Forecasting non-stationary time series by wavelet process modelling[J].Annals of the Institute of Statistical Mathematics,2003,55(4):737-764.
[64]穆钢,侯凯元,杨右虹,等.负荷预报中负荷规律性评价方法的研究[J].中国电机工程学报,2001,21(10):96-101.
[65]杨正瓴,张广涛,陈红新,等.短期负荷预测“负荷趋势加混沌”法的参数优化[J].电网技术,2005,29(4):27-30.
[66]杨正瓴,林孔元,余贻鑫.短期负荷预报的“双周期加混沌”法中的子模型优选理论探讨[J].电网技术,2003,27(5):33-36.
[67]周晨赓.几种信号分析方法对非线性、非平稳信号分析效果的比较[J].山东电子,2003,(4):43-45.
[68]牛东晓,谷志红,邢棉,等.基于数据挖掘的SVM短期负荷预测方法研究[J].中国电机工程学报,2006,26(18):6-12.
[69] Contax E G, Kavatza S.Application of a weather-sensitive peak load forecasting model to the Hellenic system[C].Proceeding of the 12th IEEE Mediterranean,Electrotechnical Conference,Melecon,2004,3:819-822.
[70]朱陶业,李应求,张颖,等.提高时间序列气象适应性的短期电力负荷预测算法[J].中国电机工程学报,2006,26(23):14-19.
[71]李天云,高磊,聂永辉,等.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006,26(15):29-34.
[72]郝志华,马孝江.局域波法和独立成分分析在转子系统故障诊断上的应用[J].中国电机工程学报,2005,25(3):84-88.
[73]于德介,陈淼峰,程军圣,等.一种基于经验模式分解与支持向量机的转子故障诊断方法[J].中国电机工程学报,2006,26(16):162-167.
[74] Huang N E,Shen Z,Long S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proceedings of the Royal Society of London,Series A,1998,454:903-995.
[75] Wu Z,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Proceedings of the Royal Society of London,Series A,2004,460:1597-1611.
[76]梁强,范英,魏一鸣.基于小波分析的石油价格长期趋势预测方法及其实证研究[J].中国管理科学,2005,13(1):30-36.
[77] Huang,N.E.,Wu,Z. An adaptive data analysis method for nonlinear and nonstationary time series:the empirical mode decomposition and hibert sepectual analysis.Proceedings of the 4th international conference on wavelet and its application,Macao,2005
[78] Huang,N.E.,Wu,M.L.,etc. Application of Hilbert-Huang transform to nonstationary financial time series analysis. Applied stochastic models in business and industry 19,245-268
[79] Wu Z,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Centre for Ocean-Land- Atmosphere Studies,Technical Report,2005,(193):51.http://www.iges.org/pubs/tech.html.
[80] Zhang Xun,Lai K K.A new approach for crude oil price analysis based on Empirical Mode Decomposition[J].Energy Economics,2008,30(3):905-918.
[81] Chen Bo-Juen,Chang Ming-Wei,Lin Chih-Jen.Load forecasting using support vector machines:a study on EUNITE competition 2001[J].IEEE Trans on Power Systems,2004,19(4):1821-1830.
[82]徐国祥.统计预测与决策[M].上海:上海财经大学出版社,2001.
[83]牛东晓,曹树华,赵磊,等.电力负荷预测技术及其应用[M].北京:中国电力出版社, 2001.
[84]牛东晓,陈志业,邢棉等.具有二重趋势性的季节型电力负荷预测组合优化灰色神经网络模型[J].中国电机工程学报,2002,22(1):29-32.
[85]康重庆,夏清,沈瑜,相年德.电力系统负荷预测的综合模型[J].清华大学学报(自然科学版), 1999,39(1):8-11.
[86]顾洁.电力系统中长期负荷的可变权综合预测模型[J].电力系统及其自动化学报,2003,15(6):56-60.
[87]高峰,康重庆,夏清等.负荷预测中多模型的自动筛选方法[J].电力系统自动化,2004,28(6):11-13.
[88]邓聚龙.灰色系统理论.武汉:华中理工大学出版社,1990.
[89] Warfield J N.Participative methodology for public system planning[J]. Computers & Electrical Engineering, 1973,1(1): 23-40
[90] B.Satish, K.S.Swarup, S.Srinivas, A.Hanumantha Rao. Effect of temperature on short term load forecasting using an integrated ANN[J]. Electric Power System Research,2004,72(2004): 95-101.
[91] Chow T W S, Leung C T. Neural network based short-term load forecasting using weather compensation[J]. IEEE Trans on Power System. 1996.11(4): 1736-1742.
[92] H.M.AL-Hamadi, S.A.Soliman. Long-term/mid-term electric load forecasting based on short-term correlation and annual growth[J]. Electric Power Systems Research,2005,74(2005): 353-361
[93] Weigen, Andress S. Time serried analysisi and prediction using gated experts with application to energy demand forecasts[J] . Applied Artificial Intelligence , 1996(11-12):583-624
[94] Soresen , bent . Non-linear modeling of integrated supply and demand systems[J]. International Journal of Global Energy Issues, 1999(1):131-137
[95] S.Y., Dong. Energy demand projections based on an uncertain dynamic system modeling approach[J]. Energy Source, 2000(7):443-451
[96] Benjamin Warr, Robert Ayres. REXS: A forecasting model for assessing the impact of natural resource consumption and technological change on economic growth[J].Structural Change and Economic Dynamics,2005
[97]达庆利,何建敏.大系统理论和方法[M].南京:东南大学出版社,1989.
[98] Warfield J N. Participative methodology for public system planning[J], Computers & Electrical Engineering, 1973, 1(1): 23-40.
[99]汪应洛.系统工程[M].北京:机械工业出版社,1986.
[100]汪应洛.系统工程理论、方法与应用[M].北京:高等教育出版社,1992.
[101]韩金山.中国电力产业经济稳定性问题研究[D].天津:天津大学,2005.
[102]白利超,康重庆,夏清等.不确定性电价分析[[J].中国电机工程学报,2002, 22(5): 37-41
[103]汤萌,沐明.电力市场化改革与电力产业的可持续发展[[J].中国软科学,2003, 12:22-26.
[104]徐金发,朱晓燕.中国电力管制价格形成机制研究[[J].中国软科学,2002, (6):45-48.
[105]谭忠富,刘严,杨力俊,方惠.以电价为纽带的中国电力产业价值链优化研究[[J].中国软科学,2004,10:30-35.
[106]韩慧芳.电价管理现状及电价改革的基本思路[[J].价格理论与实践,2001,1:27-28.
[107]侯文兰.输配电定价的经济学分析和政府管制[[J].华东电力,2001,5:21-22.
[108]王亚欣.电力工业与可持续发展:节约资源和环境保护[[J].世界地理研究,2000, 9(1): 87-93.
[109]别林登R.著,周家启,任震译.电力系统可靠性评估[M].重庆:科学技术文献出版社重庆分社,1986.
[110]王恒山.具有能量存储系统的电力系统经济模型研究[[J].上海理工大学学报,2002, 24(2):158-162.
[111] Sauer P W, Grijialva Santiage. Error Analysis in Electric Power System Available Transfer Capability Computation, Decision Support System, 1999(24):321-330.
[112]汤振飞,于尔铿,唐国庆.电力市场输电阻塞管理[[J].电力系统自动化,2001,12:13-16.
[113]张永平,焦连伟,陈寿孙.电力市场阻塞管理综述[[J].电网技术,2003, 27 (8): 1-10
[114]谢开,于尔铿,刘广一,宋永华.电力市场中的输电服务(二)---AS及其定价[[J].电网技术,1997,21(4):58-63.
[115] Lynch Clemmons, Vincent Kaminski and Joseph H. Hrgovicic, Weather Derivatives: Hedging Mother Nature, Insurance and Weather Derivatives: from Exotic Option to Exotic Underlyings, edited by Geman, H, London,published by Risk Book, a division of Risk Publications, 1999.
[116]吴宗鑫,陈文颖.以煤为主多元化的清洁能源战略[M].北京:清华大学出版社,2001.
[117]赵希正.电力环保的形势与任务[[J].中国电力企业管理,2002, 8: 16-18.
[118]王志轩,叶雷.发展循环经济促进电力上业可持续发展[[J].中国电力,2004, 37(11): 1-5.
[119]王志轩.我国电力工业环境保护现状与展望[J].中国电力,1999,32:46-51.
[120]薛联芳.电力工业可持续发展与环境保护[[J].水力发电,2000,1:6-9.
[121]夏清,彭涛,周石安等.保证电力供需长期均衡的措施研究[J].电力系统自动化,2004,28(6):1-6.
[122]江克宜,钟林.电力服务营销[M].北京:中国电力出版社,2004.
[123]刘秋华.电力市场营销管理[M].北京:中国电力出版社,2007.
[124]陈勇,骆建艳.供应链的竞争环境研究[J].华东船舶工业学院学报(自然科学版),2004,18(5):90-93
[125]薛正亮,季建华.供应链竞争环境分析模型[J].技术经济与管理研究,2003,(2):22-24
[126]郭建新.我国天然气城市输配运营市场结构_行为_绩效与投资机会研究[D].同济大学,2006
[127]中国能源发展战略与政策研究课题组.中国能源发展战略与政策研究[M].经济科学出版社,2004
[128]林伯强.中国能源发展报告[M].中国计量出版社,2006
[129]张立辉.发电企业竞争力分析[M].北京:经济管理出版社,2007.
[130]刘金碧.供电企业核心竞争力探讨[J].大众用电,2004,12:12-13.
[131]张小辉,王先甲.竞争因素对输配电企业激励性管制的影响[J].2007,31(7):65-70.
[132]朱成章.对我国在电气化指标计算中存在问题的探讨[J].2000,2:12-15.
[133]刘军.需求侧管理评价指标体系及评价模型[J].华北电力技术,2003(7):10-12.
[134]刘敬山,孙敏.发电企业核心竞争力评价体系研究[J].华北电力大学学报(社会科学版),2006(1):54-58.
[135]韩智勇,魏一鸣,范英.中国能源强度与经济结构变化特征研究[J].数理统计与管理,2004,23(1):1-6.
[136]齐志新,陈文颖,吴宗鑫.工业轻重结构变化对能源消费的影响[J].中国工业经济,2007,2:35-42.
[137]卫平,等.中国光电子产业竞争力评价和分析[J].北京:中国标准出版社,2007.
[138]张文泉.我国能源发展战略探讨.石油管理干部学院学报,2004,11(2):14～17
[139]张金昌.国际竞争力评价的理论和方法.北京:经济科学出版社.
[140]中国可持续发展战略研究组.中国可持续发展战略报告[M].北京:科学出版社,2006
[141] B. W. Ang. The LMDI approach to decomposition analysis: apractical guide[J]. Energy Policy, 2005, 33: 867-871.
[142] Volkan S. Ediger, Ozkan Huvaz. Examing the sectoral energy use in Turkish economy (1980-2000) with the help of decomposition anlysis[J]. Energy Coversion and Management, 2006, 47:732-745.
[143] B. W. Ang, Na Liu. Handling zero values in the logarithmic mean Divisia index decomposition approach[J]. EnergyPolicy, inpress.
[144] B. W. Ang, Na Liu. Negative-value problems of the logarithmic mean Divisia index decomposition approach[J]. EnergyPolicy, inpress.
[145] B.W.Ang.Decomposition analysis for policymaking in energy: which is the preferred method [J]. Energy Policy, 2004, 32: 1131-1139.
[146] Anderson, Eugene W. Customer Satisfaction and Price Tolerance[J]. MarketingLetters, 1996.
[147] Bagozzi, Richard P. The Nature and Causes of Self-esteem, Performance, and Satisfaction in the Sales Force: A Structural Equation Approach[J]. Journal of Business, 1980.
[148] Fornell, Claes, Johnson, Michael D. The American Customer Satisfaction Index: Nature, Purpose, and Findings[J]. Journal of Marketing, 1996.
[149] Fornell, Claes, Robinson, William T. Industrial Organization and Consumer Satisfaction/Dissatisfaction[J].Journal of Consumer Research,1983.
[150] Lopo Leotte Rego. The Relationship Market Structure Efficiency from a Customer Satisfaction Perspective[J]. Advances in Consumer Research, 1998.
[151]陈卫平.中国农业国际竞争力-理论、方法与实证研究[M].北京:中国人民大学出版社.
© 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 |