产业联动网络演化模型与联动路径研究
|
摘要
随着我国经济的不断发展,区域资源的互补性、产业的互动性、产业区域布局的关联性进一步增强,由此而引发的产业联动发展日益受到企业界与学术界的关注。其中作为我国能源资源富集但经济相对落后的西部地区其能源产业与相关产业、相关区域的联动发展成为研究的热点,如何通过产业联动将西部的能源资源优势转化为经济优势更成为热点中的焦点。但现有研究多停留在对产业联动这一术语的应用阶段,缺乏系统理论,存在研究空白,使得国家制定相关政策、企业进行投资决策时缺乏理论依据。
为此,本文在深入研究相关理论的基础上,首先构建了产业联动的基本理论体系,包括产业联动的基本概念、产业联动系统的构成及其影响因素、产业联动系统的联动机制以及联动效应。初步建立了较为系统的产业联动理论框架,填补了理论研究的空白。
在理论研究的基础上,本文引入复杂网络的研究思路,运用数学建模与计算机模拟的研究方法,构建了产业联动系统的网络模型及其演化模型。通过计算机模拟验证表明,建立的择优演化模型对现实产业联动网络具有较高的说明能力和预测能力,且运行可靠、稳定,为产业联动网络的定量研究提供了可行的研究方法。
为推进产业联动网络的实践运用,本文在演化模型研究的基础上,构建了产业联动网络的分析范式。提出了从演化得到的产业联动网络全图中抽取产业和区域联动子图的方法及其分析指标,通过对指标的测度能够确定可联动的产业和区域。并针对特定区域产业建立了最优联动路径的搜寻方法,最后提出了基于数据包络分析(DEA)的产业联动网络整体联动效率的评价方法。该分析范式能够从复杂的产业联动网络结构中获取对产业联动有价值的经济管理信息,为理论与现实搭建了桥梁。
最后,本文运用建立的理论、模型和分析方法对我国能源产业,尤其是西部能源产业的联动发展进行实证研究。通过对产业联动时序网络的研究,界定了可与能源产业联动的核心产业;通过对能源产业区域空间联动网络的研究,界定了基于能源可联动的核心区域;通过对我国能源产业核心联动网络联动效率测度,发现技术效率及区域分割是导致我国能源产业核心联动网络联动效率损失的主要因素,技术效率的损失主要体现在西部地区,区域分割则体现为产业联动不足,认为解决这两大问题的必由之路在于在西部能源开发与利用中实施产业联动。本文在深入研究西部地区实际情况的基础上,确定了西部地区适宜发展的主导能源产业群,并找到其核心联动路经。实证研究的完成明确了西部能源开发利用中产业联动的发展路线,将为国家制定相关政策及企业投资提供理论指导和依据。
With the development of China’s economy, there is being enhanced in the complementarity of regional resource, the interaction of industry, and the linkage of industrial regional distribution. Therefore, the interactive development of linked regional industry has come into notice of both academia and commercial interests. The interactive development between the western energy industries and correlative regional industries, and how the western region, where is rich in energy resource but poor in economic development, transforms its resource advantage into economic advantage through industry linkage, have been the focus of researches. But all present researches still steadied in the stage of just using the Industry Interaction or Industry Linkage term, where is blank of the system theory. So there is lack of theoretical basis on making related national policy and investment decision.
To meeting actual needs and filling blanks in researches, based on thorough study on related theory, this paper firstly construct theoretical system of industry linkage, which include the definition of Industry Linkage, the elements and its influence factors of industry linkage system, the linkage mechanism and the effects of the system.
Based on the study of industry linkage theory, this paper secondly introduces the research thought and method of Complex Networks and applies it to construct the Industry Linkage Network. Making use of mathematical modeling and computer simulating, the stochastic and optimal evolvement models of the industry linkage network are constructed. The computer simulations show that the optimal evolvement model can reflect the real industry linkage system more accurately and reliably and can be used in the forecast research. The optimal evolvement model provides a feasible quantitative research method on the research of industry linkage network.
Based on the study of evolvement models, in order to promote the application of the industry linkage network, this paper thirdly constructs the analysis frame on the industry linkage network, which divides into four parts. The first part put forewords the method which extract the sequential industry linkage sub graph and the spatial region linkage sub graph form the industry linkage network. The second part constructs the analysis indexes of the extracted sub graphs. Through analyzing the indexes, the industries and regions which could interactively develop based on their linkages can be determined. The third part presents a search method of optimal linkage path to a certain regional industry. Lastly, the evaluation method of linkage efficiency is proposed basically on Data Envelopment Analysis (DEA). Acted as a bridge from theory to practice, the analysis frame is helpful to get valuable information from the complex industry linkage network.
Based on the above researches, this paper lastly empirically study on the linkage of energy industries, especially on the western energy industries. Through the analysis of sequential industry linkage network, the main industries which could interactively develop with energy industries based on their linkages are determined. Through the analysis of spatial region linkage network, the main regions which could interactively develop with each other based on the energy are also determined. Through the efficiency evaluation of the core energy industry linkage network, the conclusion which the technical efficiency and region segmentation is the key factors that lead to efficiency loss of the core energy industry linkage network is made. Because the technical efficiency mainly lies in the western region and the region segmentation is the lake of industry linkage, the solution is to promote the western energy industry linkage. Therefore, on the basis of analyzing on the actual conditions in the western region, this paper obtains the leading energy industry group and its key linkage path suitable for the western region. This research achievement provides the theoretical basis for making associated policies and investment decisions.
为此,本文在深入研究相关理论的基础上,首先构建了产业联动的基本理论体系,包括产业联动的基本概念、产业联动系统的构成及其影响因素、产业联动系统的联动机制以及联动效应。初步建立了较为系统的产业联动理论框架,填补了理论研究的空白。
在理论研究的基础上,本文引入复杂网络的研究思路,运用数学建模与计算机模拟的研究方法,构建了产业联动系统的网络模型及其演化模型。通过计算机模拟验证表明,建立的择优演化模型对现实产业联动网络具有较高的说明能力和预测能力,且运行可靠、稳定,为产业联动网络的定量研究提供了可行的研究方法。
为推进产业联动网络的实践运用,本文在演化模型研究的基础上,构建了产业联动网络的分析范式。提出了从演化得到的产业联动网络全图中抽取产业和区域联动子图的方法及其分析指标,通过对指标的测度能够确定可联动的产业和区域。并针对特定区域产业建立了最优联动路径的搜寻方法,最后提出了基于数据包络分析(DEA)的产业联动网络整体联动效率的评价方法。该分析范式能够从复杂的产业联动网络结构中获取对产业联动有价值的经济管理信息,为理论与现实搭建了桥梁。
最后,本文运用建立的理论、模型和分析方法对我国能源产业,尤其是西部能源产业的联动发展进行实证研究。通过对产业联动时序网络的研究,界定了可与能源产业联动的核心产业;通过对能源产业区域空间联动网络的研究,界定了基于能源可联动的核心区域;通过对我国能源产业核心联动网络联动效率测度,发现技术效率及区域分割是导致我国能源产业核心联动网络联动效率损失的主要因素,技术效率的损失主要体现在西部地区,区域分割则体现为产业联动不足,认为解决这两大问题的必由之路在于在西部能源开发与利用中实施产业联动。本文在深入研究西部地区实际情况的基础上,确定了西部地区适宜发展的主导能源产业群,并找到其核心联动路经。实证研究的完成明确了西部能源开发利用中产业联动的发展路线,将为国家制定相关政策及企业投资提供理论指导和依据。
With the development of China’s economy, there is being enhanced in the complementarity of regional resource, the interaction of industry, and the linkage of industrial regional distribution. Therefore, the interactive development of linked regional industry has come into notice of both academia and commercial interests. The interactive development between the western energy industries and correlative regional industries, and how the western region, where is rich in energy resource but poor in economic development, transforms its resource advantage into economic advantage through industry linkage, have been the focus of researches. But all present researches still steadied in the stage of just using the Industry Interaction or Industry Linkage term, where is blank of the system theory. So there is lack of theoretical basis on making related national policy and investment decision.
To meeting actual needs and filling blanks in researches, based on thorough study on related theory, this paper firstly construct theoretical system of industry linkage, which include the definition of Industry Linkage, the elements and its influence factors of industry linkage system, the linkage mechanism and the effects of the system.
Based on the study of industry linkage theory, this paper secondly introduces the research thought and method of Complex Networks and applies it to construct the Industry Linkage Network. Making use of mathematical modeling and computer simulating, the stochastic and optimal evolvement models of the industry linkage network are constructed. The computer simulations show that the optimal evolvement model can reflect the real industry linkage system more accurately and reliably and can be used in the forecast research. The optimal evolvement model provides a feasible quantitative research method on the research of industry linkage network.
Based on the study of evolvement models, in order to promote the application of the industry linkage network, this paper thirdly constructs the analysis frame on the industry linkage network, which divides into four parts. The first part put forewords the method which extract the sequential industry linkage sub graph and the spatial region linkage sub graph form the industry linkage network. The second part constructs the analysis indexes of the extracted sub graphs. Through analyzing the indexes, the industries and regions which could interactively develop based on their linkages can be determined. The third part presents a search method of optimal linkage path to a certain regional industry. Lastly, the evaluation method of linkage efficiency is proposed basically on Data Envelopment Analysis (DEA). Acted as a bridge from theory to practice, the analysis frame is helpful to get valuable information from the complex industry linkage network.
Based on the above researches, this paper lastly empirically study on the linkage of energy industries, especially on the western energy industries. Through the analysis of sequential industry linkage network, the main industries which could interactively develop with energy industries based on their linkages are determined. Through the analysis of spatial region linkage network, the main regions which could interactively develop with each other based on the energy are also determined. Through the efficiency evaluation of the core energy industry linkage network, the conclusion which the technical efficiency and region segmentation is the key factors that lead to efficiency loss of the core energy industry linkage network is made. Because the technical efficiency mainly lies in the western region and the region segmentation is the lake of industry linkage, the solution is to promote the western energy industry linkage. Therefore, on the basis of analyzing on the actual conditions in the western region, this paper obtains the leading energy industry group and its key linkage path suitable for the western region. This research achievement provides the theoretical basis for making associated policies and investment decisions.
引文
1 数据来源:王家诚.《中国能源发展报告(2001)》.北京:中国计量出版社.
[1] 国务院西部地区开发领导小组办公室. 国务院关于实施西部大开发若干政策措施的通知[EB]. [2002-12-17]. http://www.bzjj.gov.cn/1cyhzhce/zhcb.htm.
[2] 巴春生. 承接东部产业转移促进西部经济发展[J]. 改革与战略, 2004(7):66-68.
[3] 张剑. 高耗能产业西部突围[J]. 中国能源, 2004, 26(3):22-23.
[4] 朱如华. 从苏青公司的成功实践看东西部合作[J]. 柴达木开发研究, 2000(3):16-18.
[5] 储国强, 刘军, 熊聪茹. 西部能源大开发调查[J]. 瞭望新闻周刊, 2004(41):36-37.
[6] 苏杨. 糟得很和好得很——西部发展高耗能、高污染产业利弊分析[J]. 中国统计, 2005(7):37-39.
[7] 储国强, 刘军, 熊聪茹. 西部能源大开发的利益之争[J]. 大陆桥视野, 2005(1):55-56.
[8] 杨炳忻. 西部发展中能源与资源利用及其环境保护的关键问题[EB]. http://www.xssc.ac.cn.
[9] 周凤起. 西部能源发展战略和能源政策[EB/OL]. [2003-08-06]. http://www.hwcc.com.cn/nsbd/.
[10] 韩文科, 高世宪, 朱兴珊, 张有生. 西部可持续发展的能源战略(总报告)[J]. 经济研究参考, 2003(50):2-12.
[11] 李志伟. 发展绿色能源, 造福西部人民——倪维斗院士谈西部能源开发[J]. 森林与人类, 2001(1):7-8.
[12] 高风, 惠小勇, 吴锦瑜. 新一轮能源开发不要“穿新鞋走老路”[C]. 市场报, 2003.12.23, 第一版.
[13] 国家发展和改革委员会, 煤炭工业发展“十一五”规划[EB]. http://www.sdpc.gov.cn/fzgh/ghwb/ 115zxgh/P020070925583241015610.pdf.
[14] David C. Popp. The Effect of New Technology on Energy Consumption [J]. Resource and Energy Economics, 2001, 23(3):215-239.
[15] J. Islas et al. Cost-benefit Analysis of Energy Scenarios for the Mexican Power Sector [J]. Energy, 2003, 28(10):979-992.
[16] Michiel de Nooij et al.. International Comparisons of Domestic Energy Consumption [J]. Energy Economics, 2003, 25(4):359-373.
[17] John Asafu-Adjaye. The Relationship Between Energy Consumption, Energy Prices and Economic Growth: Time Series Evidence From Asian Developing Countries[J]. Energy Economics, 2000, 22(6):615-625.
[18] Ernst Worrell et al.. Productivity Benefits of Industrial Energy Efficiency Measures [J]. Energy, 2003, 28(11):1081-1098.
[19] Kok, Rixtet et al.. Measuring the Environmental Load of Household Consumption Using Some Methods Based on Input–output Energy Analysis: a Comparison of Methods and a Discussion of Results [J]. Energy Policy, 2006, 34(17):2744-2761.
[20] 卢孝云. 迎接新世纪建设新荆沙[J]. 决策与信息, 1995(6):4-5.
[21] 广州经贸管理干部学院学报编辑部. 大力推进连锁经营[J]. 广州市财贸管理干部学院学报, 1995(3):17-18.
[22] 石宏伟. 实施“产业联动、优势整合”大力培育发展边缘性优势产业[J]. 经济问题, 1999(5):56-59.
[23] 廖才茂. 遵循规律联动发展——对江西三次产业联动发展的建议[J]. 当代财经, 1997(4):51-58.
[24] 苑久富. 长三角地区物流产业联动发展对策研究[J]. 物流科技, 2006, 29(131):39-42.
[25] 林国龙. 长三角物流产业联动发展现状、问题与对策[J]. 中国远洋航务公告, 2006(3):37-39.
[26] 南宇. 西北五省区旅游产业联动开发研究[J]. 发展, 2004(11):58-59.
[27] 宁晓青, 朱栋梁. 实现我国东西均衡发展的战略选择——论东西经济产业联动升级对接[J]. 贵州财经学院学报, 2001(5):48-51.
[28] 施同兵, 简晓彬. 论产业联动对可持续发展的作用——以江苏为例[J]. 生态经济(学术版), 2007 (2):158-161.
[29] 简晓彬, 刘宁宁, 沈正平. 南北挂钩机制下徐州、无锡产业联动发展初探[J]. 经济纵横, 2007(2):79-81.
[30] 周松兰, 刘栋. 产业关联度分析模型及其理论综述[J]. 商业研究, 2005(5):7-11.
[31] Ghosh A., Sarkar H.. An Input-Output Matrix as a Spatial Configuration [J]. Economicsof Planning,1970(1-2):133-142.
[32] Mohit K. Roy. A Note on the Computation of an Optimal Ordering for an Input-Output Matrix [J]. Economics of Planning,1971(1-2):95-97.
[33] Jean-Marie Blin. A Further Procedure for Ordering an Input-Output Matrix: Some Empirical Evidence [J]. Economics of Planning,l973(1):121-129.
[34] Ghosh A., Bugumbe P. K.. Computation of an Optimal Ordering for an Input-Output Matrix by an Application of Dynamic Programming [J]. Economics of Planning,l981(1):20-22.
[35] Pieter Kop Tansen, Thi js Ten Raa. The Choice of Model in the Construction of Input-Output Coefficients Matrices [J]. International Economic Review, 1990(1):213-227.
[36] Luptacik Mikulas,Bohm Bernhard. Reconsideration of Non-negative Solutions for the Augmented Leontief Model [J]. Iuput-Output Analysis,1998(2):34-37.
[37] Bezdek,Roger H.. Tests of Three Hypotheses Relating to the Leontief Input-Output Model[J]. Journal of the Royal Statistical Society, Series A, 1984 (3):499-509.
[38] Simonovits A.. A Note on the Underestimation and Overestimation of the Leontief Inverse [J]. Econometrica, 1975(3):493-498.
[39] 唐小我. 关于投入产出系统的分解和完全需求系数矩阵(I-A)-1 计算的进一步探讨[J]. 数学的实践与认识, 1993(2):47-50.
[40] 唐小我. 列昂惕夫逆矩阵研究的若干新结果[J]. 统计研究, 1995(2):48-51.
[41] 李长明. 直接消耗系数的修订方法研究——马尔可夫法与投入产出分析的结合[J]. 数量经济技术经济研究, 1985(2): 62-65.
[42] 唐小我. 修订直接消耗系数的一种新方法[J]. 预测, 1991(2):46-50.
[43] 唐小我. 曾勇, 曹长修.投入产出模型直接消耗系数修订的进一步研究[J]. 系统工程, 1994(2):62-66.
[44] 王应明. 应用对数最小二乘法修正投入产出系数[J]. 科技通报, 1994(1):11-16.
[45] 韩旭里. 投入产出模型直接消耗系数修订的准则[J]. 系统工程, 1996 (6):6-9.
[46] 赵秀恒. 投入产出模型求解的进一步研究[J]. 统计研究, 1997 (1):63-64.
[47] 刘起运. 关于投入产出系数结构分析方法的研究[J]. 统计研究, 2002 (2):40-42.
[48] 张金水. 价值型与实物型混合投入产出模型计算物价的简便方法[J]. 控制与决策, 1995(2):188-191.
[49] 王玉潜. 投入产出模型求解条件的经济内涵分析[J]. 统计研究, 2003(2):54-56.
[50] John K. Sharp, William R. Perkins. A New Approach to Dynamic Input-Output Models [J]. Automatica, 1973 (14):77-79.
[51] Gurgul H.. Two-sector Dynamic Model of Input-Output Type [J]. Syst Anal Modelling Simulation,l994(16):71-78.
[52] Silva M. S., de Lima T. P.. Looking for Non-negative Solutions of a Leontief Dynamic Model [J]. Linear Algebra and Its Applications,2003:281-316.
[53] Cambell Stephen L. Nonregular Singular Dynamic Leontief Systems [J]. Econometrica, 1979 (6):1565-1568.
[54] Kieddrowski R., Turnpike A.. Theorem in the Closed Dynamic Leontief Model with a Singular Matrix of Capital Coefficients [J]. Economic Systems Reseach,2001(2):209-222.
[55] Sergio J. Rey. Coefficient Change in Integrated Econometric and Input-Output Models at the Regional Level [J]. Economic Systems Research,1997(4):307-329.
[56] Szyld Daniel B.. Conditions for the Existence of a Balance Growth Solution for the Leontief Dynamic Input-Output Model [J]. Econometrica, 1985 (6):1411 一 1420.
[57] Steenge,Albert E.. Instability Problems in the Dynamic Leontief Model:an Ecnomic Explanation [J]. Economic Systems Reseacher,1990(4):357-361.
[58] 邬义钧, 邱均. 产业经济学[M]. 北京:中国统计出版社, 2001.
[59] 赵锐. 对我国 87-97 年间产业经济效益和产业关联的实证分析[D]. 电子科技大学, 2003.
[60] 朱选功. 河南省区域经济协调发展的产业关联分析[J]. 河南师范大学学报(哲学社会科学版), 2005, 32(4):55-59.
[61] 章文光, 梁丽红. 跨国公司与中国企业产业关联分析[J]. 中国流通经济, 2004(11):43-46.
[62] 李岩, 金浩, 李延军等. 产业关联效应的计量分析及主导产业的选择[J]. 河北工业大学学报, 2004, 33(3), 87-91.
[63] 夏明, 彭春燕. 20 世纪末期中国产业关联变动和结构升级[J]. 上海经济研究, 2004(3):17-23.
[64] 李国娟. 从产业关联看上海产业结构的调整方向[J]. 上海统计, 2000(10):8-11.
[65] 李江帆, 李冠霖, 江波. 旅游业的产业关联和产业波及分析[J]. 旅游学刊, 2001(3):19-25.
[66] 李永. 我国目前产业关联结构效果的实证分析[J]. 广西社会科学, 2003(3):80-82.
[67] 史丹. 产业关联与能源工业市场化改革[J]. 中国工业经济, 2005(12):14-21.
[68] 中国投入产出学会课题组. 我国能源部门产业关联分析——2002 年投入产出表系列分析报告之六[J]. 统计研究, 2007, 24(5):3-5.
[69] 夏明, 彭春燕. 能源紧张背后的产业关联变动影响分析[J]. 社会科学辑刊, 2004(3):52-56.
[70] Gereffi, G.. International trade and industrial upgrading in the apparel commodity chain [J]. Journal of International Economics, 1999(48):37-70.
[71] Humphrey, J., & Schmitz, H.. Governance and upgrading: Linking industrial cluster and global value chain research. IDS Working Paper, No.120, Institute of Development Studies, University of Sussex, Brighton.2000.
[72] Humphrey, J., & Schmitz, H.. Developing country firms in the world economy: Governance and upgrading in global value chains [R]. Duisburg:University of Duisburg,2002.
[73] 刘曙光, 杨华. 关于全球价值链与区域产业升级的研究综述[J]. 中国海洋大学学报(社会科学版), 2004(5):27—30.
[74] 傅国华. 运转农产品产业链, 提高农业系统效益, 中国农业经济[J]. 1996, (11):24-25.
[75] 吴金明, 邵昶. 产业链形成机制研究——“4+4+4”模型[J]. 中国工业经济, 2006(4):36-43.
[76] 龚勤林. 产业链接通的经济动因与区际效应研究[J]. 理论与改革, 2004(3):105-108.
[77] 龚勤林. 论产业链延伸与统筹区域发展[J]. 理论探讨, 2004(3):62-63.
[78] 龚勤林. 区域产业链研究[D]. 四川大学, 2004.
[79] 吴金明, 张磐, 赵曾琪. 产业链、产业配套半径与企业自生能力[J]. 中国工业经济, 2005(2):44-50.
[80] 任一鑫, 于喜展, 叶蔚. 煤炭产业链发展模式研究[J]. 中国煤炭, 2004, 30(3):26-27.
[81] 任一鑫, 于喜展, 叶蔚等. 煤炭企业价值链和产业链研究的必要性[J]. 煤炭科技, 2004(2):8-10.
[82] 刘毅军, 姜海超. 开发利用天然气要重视产业链风险[J]. 天然气工业, 2003(11):150-155.
[83] 刘毅军, 程鹏飞, 刘虹. 天然气产业链下游市场的风险因素分析[J]. 国际石油经济, 2003(11):35-38.
[84] 华贲. 中国 LNG 产业链的发展策略探讨[J]. 石油化工建设(LNG 建设特刊):17-20.
[85] 顾安忠, 曹文胜. 中国液化天然气产业链[J]. 石油化工建设(LNG 建设特刊):12-16.
[86] 尚海涛. 发挥煤炭综合开发优势构建煤基多联产业链, 促进煤炭工业可持续发展[J]. 煤炭经济研究, 2001(4):4-7.
[87] 李炜, 郭同茂. 煤电铝一体化发展提高企业核心竞争力[J]. 中国煤炭, 2003(5):16-17.
[88] 王祝堂, 郭霓, 任柏峰. 煤—电—铝—铝材一体化:中国发展铝工业最佳模式[J]. 世界有色金属, 2003(5):8-11.
[89] 许崇信. 淮北矿业集团努力打造一流煤焦化电基地[J]. 中国煤炭, 2005(1):20-23.
[90] 刘红艳. 南非萨索尔公司煤基产业链对中国煤炭企业的启示[J]. 煤矿现代化, 2002(2):7-9.
[91] 刘剑平, 朱和. 近年来跨国石油石化公司对华投资特点及趋势分析[J]. 国际石油经济, 2003(9):5-11.
[92] 王德禄. 能源产业发展趋势及价值链分析(上)[J]. 新材料产业, 2004(11):10-16.
[93] 王德禄. 能源产业发展趋势及价值链分析(下)[J]. 新材料产业, 2004(12):9-17.
[94] 陆刚, 孙宇博, 丁兆国等. 煤炭产业链模式构建及应用研究[J]. 发展论坛, 2005(7):23-25.
[95] 王志宏, 何志强. 矿区可持续发展中的技术创新与产业链延伸[J]. 煤炭学报, 2003, 28(4):349-352.
[96] 李嘉图. 政治经济学及赋税原理[M]. 北京:商务印书馆, 1962.
[97] 陈刚, 陈红儿. 区际产业转移理论探微[J]. 贵州社会科学, 2001(4):2-6.
[98] 陈红儿. 区际产业转移的内涵、机制、效应[J]. 内蒙古社会科学(汉文版), 2002, 23(1):16-18.
[99] 李新. 长三角向西部产业转移的理论及实证研究[D]. 苏州大学, 2004.
[100] 阿瑟?刘易斯. 国际经济秩序的演变[M]. 北京:商务印书馆, 1984.
[101] 汪斌, 赵张耀. 国际产业转移理论述评[J]. 浙江社会科学, 2003(6):45-49.
[102] 小岛清. 对外贸易论[M]. 天津:南开大学出版社, 1987.
[103] 劳尔?普雷维什. 外围资本主义:危机与改造[M]. 北京:商务印书馆, 1990.
[104] 陈建南. 发展中国家对外直接投资理论述评[J]. 经济学动态, 2001(2):65-67.
[105] 蒋文军, 孙宏军. 欠发达地区要策应产业转移[J]. 老区建设, 2001(9):32-33.
[106] 曹荣庆. 浅谈区域产业转移和结构优化的推进路径[J]. 浙江师范大学学报(社会科学版), 2002, 27(4):68-71.
[107] 翟松天, 徐建龙. 中国东西部产业结构联动升级中的产业对接模式研究[J]. 青海师范大学学报(社会科学版), 1999(2):1-6.
[108] 吴晓军 , 赵海东. 产业转移与欠发达地区经济发展[J]. 当代财经, 2004(6):96-99.
[109] 任太增. 比较优势理论与梯级产业转移[J]. 当代经济研究, 2001(11):47-50.
[110] 王傲兰. 是什么阻滞了梯度推进及产业转移[J]. 决策咨询, 2003(8):50-51.
[111] 魏后凯. 产业转移的发展趋势及其对竞争力的影响[J]. 福建论坛经济社会版, 2003(4):11-15.
[112] 张文倩, 张卓. 东部产业转移对西部产业发展的影响[J]. 特区经济, 2005(1):93.
[113] 李小建, 覃成林, 高建华, 我国产业转移与中原经济崛起, 中州学刊, 2004(3):15-18.
[114] 陈计旺. 东部地区产业转移与中部地区经济发展[J]. 山西师大学报(社会科学版), 2003, 30(3):41-46.
[115] 李本和. 东西部地区的“两环联动”与中部地区的“引体向上”[J]。嘉兴学院学报, 2005, 17(1):50-55.
[116] 孙海鸣, 赵晓雷. 2003 中国区域经济发展报告[M]. 上海:上海则经大学出版利, 2003.
[117] 张金锁, 康凯. 区域经济学[M]. 天津:天津大学出版社, 2003:50-58.
[118] 夏德孝, 张道宏. 区域协调发展理论的研究综述[J]. 生产力研究, 2008(1):144-147.
[119] 刘庆刚. 区域协调发展与西部开发——现代化进程的新阶段[J]. 山东师大学报(社会科学版), 1996 ( 3):14-17.
[120] 张可云, 洪世键. 全球化背景下中国区域分工与合作问题探讨[J]. 经济经纬, 2004(6):45-48.
[121] 吕政. 对“十一五”时期我国工业发展若干问题的探讨[J]. 中国工业经济, 2004(11):5-10.
[122] 魏后凯. 引导沿海产业向中西部转移是统筹区域发展的重要举措[N]. 人民日报, 2006-02-25.
[123] 邬义钧, 邱均. 产业经济学[M]. 北京:中国统计出版社, 2001:20,125-127.
[124] 杨公朴, 夏大慰. 现代产业经济学[M]. 上海:上海财经济大学出版社, 2002:316-318.
[125] 简新华. 产业经济学[M]. 武汉:武汉大学出版社, 2002.
[126] 周路明. 关注高科技“产业链”[J]. 深圳特区科技, 2001(11):10-11.
[127] Porter, M.E. Clusters and the New Economics of Competition [J]. Harvard Business Review, 1998, 76(6):77-90.
[128] 卢根鑫. 国际产业转移论[M]. 上海:上海人民出版社, 1997:2.
[129] 于刃刚, 李玉红, 产业融合论[M], 北京:人民出版社, 2006.
[130] 王珺. 集群成长与区域发展[M]. 北京:经济科学出版社, 2004:1-23. 3
[131] Jonas Lind. Ubiquitous Convergence: Market Redefinitions Generated by Technological Change and the Industry Life Cycle[C]. Paper for the DRUID Academy Winter 2005 Conference, January 27 - 29, 2005.
[132] 徐国志等. 系统科学与工程研究[M]. 上海:上海科技教育出版社, 2000.
[133] 李良荣. 新闻学概论[M]. 上海:复旦大学出版社, 2005:249-252.
[134] 樊纲, 王小鲁, 朱恒鹏. 中国市场化指数——各地区市场化相对进程 2006 年报告[M]. 北京:经济科学出版社, 2007:13-18.
[135] 陈红兵. 复杂性科学与机械世界观向生态世界观转型[J]. 学术论坛, 2005(5):24-28.
[136] 柴立和, 杨战. 复杂性科学的几大学派及其研究特点[J]. 现代物理知识, 2004(6):25-30.
[137]Gkug Morc. What is complexity science Postmodernist or Postpositivist? [J]. Emergence, 2001,3(1): 104-119.
[138] 钱学森, 于景元, 戴汝为. 一个科学新领域——开放的复杂巨系统及其方法论[J]. 水文地质工程地质, 1990.(3):3-9.
[139] 宋学锋. 复杂性、复杂系统与复杂性科学[J]. 中国科学基金, 2003(5):262-269.
[140] 史定华. 网络——探索复杂性的新途径[J]. 系统工程学报, 2005(2):115-119.
[141] 刘曾荣, 李挺. 复杂系统理论剖析[J]. 自然杂志, 2004(3):149-151.
[142] Li X,Wang X F. Pinning control of scale-free chen's networks[R]. The Second Asia-Pacific Workshorp on chaos Control and Synchronization at shanghai,2003.
[143] Erd?s P, Rényi A. Publications of the Mathematical Institute of the Hungarian Academy of Science,1960(5):17.
[144] Erd?s P, Rényi A. Acta Mathematica Scientia Hungary,1961(12):261.
[145] Bollobas B. Random Graphs[M]. London: Academic Press Inc,1985.
[146] Watts D J, Strogatz S H. “小世界”网络的群体动力行为[J]. Nature, 1998(393): 440-442.
[147] Barabasi A L,Albert R. 随机网络中标度的涌现[J]. Science,1999(286):509-512.
[148] 方锦清, 江小帆, 郑志刚, 毕桥, 狄增如, 李翔. 一门崭新的交叉科学:网络科学(上) [J]. 物理学进展, 2007(9):239-341.
[149] Albert R, Jeong H, Barabasi A. L. Diameter of the World-Wide Web [J]. Nature, 1999, 401(6749):130-131.
[150] Broder, A Tomkins, A. et al.. Graph structure in the web [J]. Computer Networks, 2000(33):309-320.
[151] Ravi Kumar, Prabhakar Raghavan, et al.. Trawling the web for emerging cyber-communities [J]. Computer Networks,1999(31):1481-1493.
[152] Huberman, B. A. and Adamic, L. A. . Internet: growth dynamics of the world-wide web [J]. Nature, 1999(401):131?.?
[153] Adamic,L. A. . The small world web[C], Proceedings of the 3rd European Conference Research and Advanced Technology for Digital Libraries, ECDL'99,LNCS 1696, Paris, France, September, 1999:443-452.
[154] Kumar R. , Raghavan P. , Rajagopalan S. , Sivakumar D. , Tomkins, A. S. , and Upfal E. Stochastic models for the Web graph[C], in Proceedings of the 42st Annual IEEE Symposium on the Foundations of Computer Science,pp57-65, Institute of Electrical and Electronics Engineers, New York,2000.
[155] Flake, G. W. ,Lawrence, S. R. ,Giles, C. L. , and Coetzee, F. M. Self-organization and identification of Web communities[J]. IEEE Computer, 2002(35): 66-71.
[156] Faloutsos M, Faloutsos P, Faloutsos C. On power-law relationships of the Internet topology[J]. Comput Common. Rev. , 1999(29): 251.
[157] R. Pastor-Satorras, Vespignani A. Evolution and structure of the Internet: a statistical physics approach [M]. Cambridge : Cambridge university press, 2004.
[158] Faloutsos M. ,Faloutsos P. , Faloutsos C. On power-law relationships of the Internet topology [J] , Computer Communications Review,1999(29): 251-262.
[159] Govindan, R. , and H. Tangmunarunkit, Heuristics for Internet map discovery[C], in Proceedings of IEEE INFOCOM 2000(3): 1371.
[160] Yook S. H. ,Jeong H. ,and A. Barabasi A. -L, Modeling the Internet's large-scale topology [J] . Proc. Nat. Acad. Sciences, 2002(99): 13382-13386.
[161] Jeong H,Tombor B,Albert R et al. The large-scale organization of metabolic networks [J]. Nature, 2000(407): 651-654.
[162] E. Almaas, B. Kovacs, T. Vicsek et al. Global organization of metabolic fluxes in the bacterium Escherichiacoli [J]. Nature, 2004(427):839.
[163] Jeong, H. , Tombor, B. , Albert, R. , Oltvai, Z. N. , and Barabasi, A. -L. The large-scale organization of metabolic networks[J]. Nature 407, 651-654 (2000).
[164] Jeong, H. , Mason, S., Barabasi, A. -L. , and Oltvai, Z. N. , Lethality and centrality in protein networks[J]. Nature, 2001(411): 41-42.
[165] Fell D. A. and Wagner A.. The small world of metabolism [J]. Nature Biotechnology,2000,18(11): 1121-1122.
[166] W Li and X. Cai. Statistical analysis of airport network of China [J]. Phys. Rev. E, 2004(69): 046106.
[167] A. Batrat, M. Barthelemy, R. Pastor-Satorras et al. The architecture of complex weighted networks [J]. Proc. Natl. Acad. Sci. U. S. A., 2004(101): 3747-3752.
[168] Ganesh Bagler. Analysis of the Airport Network of India as a complex weighted network [J/OL]. arXiv:cond- mat/0409773.
[169] Newman M E J. The structure and function of complex networks [J]. SIAM Review, 2003(45):167-256.
[170] S. Boccaletti, V Latora, Y Moreno, M. Chavez and D. U. Hwang. Complex networks: structure and dynamics [J]. Physics Reports, 2005(424): 175.
[171] Smith, R. D., Instant messaging as a scale-free network [R]. http://arxiv.org/PS_cache/ cond-mat/ pdf/02 06/0206378v2. pdf
[172] Lilj eros, F. , Edling, C. R. , Amaral, L. A. N. , Stanley, H. E. , and Aberg, Y, The web of human sexual contacts[J] . Nature, 2001(411): 907-908.
[173] Ebel, H. , Mielsch, L. -I. , and Bornholdt, S. Scale-free topology of e-mail networks[J]. Phys. Rev. E, (66):035103.
[174] Newman, M. E. J. , Forrest, S. , Balthrop J. Email networks and the spread of computer viruses[J]. Phys. Rev. E, 2002(66): 035101.
[175] Newman M E J. The structure of scientfic collaboration networks [J]. Proc. Natl. Acad. Sci. USA, 2001(411):907-908.
[176] Newman M E J. Scientific collaboration networks I: Network construction and fundamental results [J]. Phys. Rev. E, 2001(64): 016131.
[177] Newman M E J. Scientific collaboration networksⅡ: Shortest paths,weighted networks, and centrality [J]. Phys. Rev. E, 2001(64):016132.
[178] Barabasi, A. -L, Jeong, H. , Ravasz, E. , Neda, Z. , Schuberts, A. , and Vicsek, T. ,Evolution of the social network of scientific collaborations[J]. Physica A , 2002(311): 590-614.
[179] Albert R, Barabasi A L. Statistical mechanics of complex networks [J]. Reviews of Modenn Physics, 2002(74): 47-97.
[180] Yang X. S.. Chaos in small-word networks [J]. Phys. Rev. E, 2001(63):046206.
[181] Yang X. S.. Fractals in small-word network with time-delay [J]. Chaos, Solitons and Fractals, 2002(13):215-219.
[182] Newman, Mark E.J. The structure and function of complex networks [J]. SIAM Review, 2003, 45(2) :167-256.
[183] R. Albert and A-L. Barabási, statistical Mechanics of complex network[J]. Review of Modern Physics, 2002(74):47-97.
[184] 郭雷, 许晓鸣. 复杂网络[M]. 上海:上海科技教育出版社, 2006(11):P27-48.
[185] S. H. Yook, H. Jeong, A. -L. Barabasi, and Y. Tu. Weighted evoluing networks [J]. Phys. Rev. Lett., 2001(86):5835.
[186] D. Zheng, S. Trimper, B. Zheng and P. M. Hui. Weighted scale-free networks with stochastic weight assignments [J]. Phys. Rev. E, 2003(67):040102.
[187] T. Antal and P. L. Krapivsky. Weight-driven growing networks [J]. Phys. Rev. E, 2005(71): 026103.
[188] A. Barrat, M. Barthelemy, and A. Vespignani. Weighted evolving networks: coupling topology and weight dynamics [J]. Phys. Rev. Lett., 2004(92):228701.
[189] S. N. Dorogovtsev and J. F. F. Mendes. Minimal models of weighted scale-free networks [J]. http://arxiv.org/PS_cache/cond-mat/pdf/0408/0408343v1.pdf.
[190] W. -X. Wang, B. -H. Wang, B. Hu et al. General dynamics of topology and traffic on weighted technological networks [J]. Phys. Rev. Lett. V. ,2005(94):188702.
[191] W. -X. Wang, B. -H. Wang, B. Hu et al. Mutual attraction model for both assortative and disassortative weighted networks [J]. Phys. Rev. E, 2006(73):016133.
[192] Xuelian Sun, Enmin Feng, Jianguo Liu. Evolving Weighted Networks with Edge Weight Dynamical Growth [C]. The 5th ⅡGSS Workshop.
[193] Yang Gang, Zhou Tao, Wang Jie, Fu Zhong-Qian, Wang Bing-Hong. Epidemic spread in weighted scale-free networks [J]. Chinese Physics Letters, 2005, 22(2):501.
[194] M. Chavez, D. -U. Hwang, A. Amann, H. G. E. Hentschel, and S. Boccaletti. Synchronization is enhanced in weighted complex networks [J]. Phys. Rev. Lett., 2005(94):218701.
[195] Adilson E. Motter, Changsong Zhou, and Jurgen Kurths. Weighted networks are more synchronizable: how and why[C]. AIP Conference Proceedings, 2005.
[196] Changsong Zhou, Adilson E. Motter, and Jurgen Kurths. Universality in the synchronization of weighted random networks [J]. Phys. Rev. Lett., 2006(96): 034101.
[197] W. Li , X. Cai. Statistical analysis of airport network of China [J]. Phys. Rev. E.,2004(69):046106.
[198] R. Guimerua, S. Mossa, A. Turtschi, and L. A. N. Amaral. The worldwide air transportation network: Anomalous centrality, community structure, and cities’ global roles [J]. Proc. Nat Acad. Sci. USA, 2005(102):7794.
[199] R. Guimerua , L. A. N. Amaral. Modeling the world-wide airport network [J]. Eur. Phys. J. B., 2004(38):381.
[200] Jinshan Wu, Klaus Hubacek, Menghui Li, Zengru Di. Structure of Production Network [R]. 2004.
[201] 国家发改委国土开发与地区经济研究所副所长. 中国经济区域重划:划分“7+1”经济区浮出水面. [2005.08.11]. http://www.stock2000.com.cn/refresh/arch/2005/08/11/922918.htm.
[202] 国家信息中心. 中国区域间投入产出表[M]. 北京:社会科学文献出版社, 2005.
[203] 林宗虎, 论我国可持续发展的能源道路, 世界科技研究与发展, 1997(5):16-21.
[204] Y. Fan, M. Li, J. Chen, L. Gao, Z. Di and J. Wu. Network of econophysicsts: a weighted to investigated the development of econophysics[J]. Int. J. of Mod. Phys. B, 2004,18(17~19):2505-2512.
[205] B. Derrida and H. Flyvbjerg. Statistical properties of randomly broken objects and of multivalley structures in disordered systems [J]. J. Phys. A, 1987(20):5273.
[206] M. Barthélemy, B. Gondran, and E. Guichard. Spatial structure of the internet traffic [J]. Physica A, 2003(319):633.
[207] J.P. Onnela, J. Jari Saram ?aki, J. Kertész and K. Kaski. Intensity and coherence of motifs in weighted complex networks [J]. Phys. Rev. E, 2005(71): 065103.
[208] Petter Holme, Sung Min Park, Beom Jun Kim, Christofer R. Edling. Korean university life in a network perspective: Dynamics of a large affiliation network [J]. http://arxiv.org/PS_cache/cond-mat/pdf/0411/0411634 v1.pdf
[209] Kumbhaker, S.C. and Lovell C.A.K.. Stochastic Frontier Analysis[M]. Cambridge: Cambridge University Press, 2000.
[210] Chames A., Cooper W. W. and Rhodes E.. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2(6):429-444.
[211] Banker R. D., Charnes A. and Cooper W. W.. Some models for estimating technological scale inefficiencies in data envelopment analysis [J]. Management Science, 1984, 30(9): 1078-1092.
[212] Li Sung-ko and Ng Ying-chu, Measuring the productive efficiency of a group of firms [J]. International Advances in Economic Research, 1995, 1 (4): 377-390.
[213] 张风武. 煤炭城市发展非煤产业的原则、类型与模式. 能源基地建设, 1998(1) .
[214] 辛文昉. 从产业关联看煤炭工业[J]. 煤炭经济研究, 2003(6):12-13.
[215]中国西北地区能源产业发展前景正面临严峻挑战[EB]. http://www.cs.com.cn/ssgs/04/200708/ t20070821_182011.htm.
[1] 国务院西部地区开发领导小组办公室. 国务院关于实施西部大开发若干政策措施的通知[EB]. [2002-12-17]. http://www.bzjj.gov.cn/1cyhzhce/zhcb.htm.
[2] 巴春生. 承接东部产业转移促进西部经济发展[J]. 改革与战略, 2004(7):66-68.
[3] 张剑. 高耗能产业西部突围[J]. 中国能源, 2004, 26(3):22-23.
[4] 朱如华. 从苏青公司的成功实践看东西部合作[J]. 柴达木开发研究, 2000(3):16-18.
[5] 储国强, 刘军, 熊聪茹. 西部能源大开发调查[J]. 瞭望新闻周刊, 2004(41):36-37.
[6] 苏杨. 糟得很和好得很——西部发展高耗能、高污染产业利弊分析[J]. 中国统计, 2005(7):37-39.
[7] 储国强, 刘军, 熊聪茹. 西部能源大开发的利益之争[J]. 大陆桥视野, 2005(1):55-56.
[8] 杨炳忻. 西部发展中能源与资源利用及其环境保护的关键问题[EB]. http://www.xssc.ac.cn.
[9] 周凤起. 西部能源发展战略和能源政策[EB/OL]. [2003-08-06]. http://www.hwcc.com.cn/nsbd/.
[10] 韩文科, 高世宪, 朱兴珊, 张有生. 西部可持续发展的能源战略(总报告)[J]. 经济研究参考, 2003(50):2-12.
[11] 李志伟. 发展绿色能源, 造福西部人民——倪维斗院士谈西部能源开发[J]. 森林与人类, 2001(1):7-8.
[12] 高风, 惠小勇, 吴锦瑜. 新一轮能源开发不要“穿新鞋走老路”[C]. 市场报, 2003.12.23, 第一版.
[13] 国家发展和改革委员会, 煤炭工业发展“十一五”规划[EB]. http://www.sdpc.gov.cn/fzgh/ghwb/ 115zxgh/P020070925583241015610.pdf.
[14] David C. Popp. The Effect of New Technology on Energy Consumption [J]. Resource and Energy Economics, 2001, 23(3):215-239.
[15] J. Islas et al. Cost-benefit Analysis of Energy Scenarios for the Mexican Power Sector [J]. Energy, 2003, 28(10):979-992.
[16] Michiel de Nooij et al.. International Comparisons of Domestic Energy Consumption [J]. Energy Economics, 2003, 25(4):359-373.
[17] John Asafu-Adjaye. The Relationship Between Energy Consumption, Energy Prices and Economic Growth: Time Series Evidence From Asian Developing Countries[J]. Energy Economics, 2000, 22(6):615-625.
[18] Ernst Worrell et al.. Productivity Benefits of Industrial Energy Efficiency Measures [J]. Energy, 2003, 28(11):1081-1098.
[19] Kok, Rixtet et al.. Measuring the Environmental Load of Household Consumption Using Some Methods Based on Input–output Energy Analysis: a Comparison of Methods and a Discussion of Results [J]. Energy Policy, 2006, 34(17):2744-2761.
[20] 卢孝云. 迎接新世纪建设新荆沙[J]. 决策与信息, 1995(6):4-5.
[21] 广州经贸管理干部学院学报编辑部. 大力推进连锁经营[J]. 广州市财贸管理干部学院学报, 1995(3):17-18.
[22] 石宏伟. 实施“产业联动、优势整合”大力培育发展边缘性优势产业[J]. 经济问题, 1999(5):56-59.
[23] 廖才茂. 遵循规律联动发展——对江西三次产业联动发展的建议[J]. 当代财经, 1997(4):51-58.
[24] 苑久富. 长三角地区物流产业联动发展对策研究[J]. 物流科技, 2006, 29(131):39-42.
[25] 林国龙. 长三角物流产业联动发展现状、问题与对策[J]. 中国远洋航务公告, 2006(3):37-39.
[26] 南宇. 西北五省区旅游产业联动开发研究[J]. 发展, 2004(11):58-59.
[27] 宁晓青, 朱栋梁. 实现我国东西均衡发展的战略选择——论东西经济产业联动升级对接[J]. 贵州财经学院学报, 2001(5):48-51.
[28] 施同兵, 简晓彬. 论产业联动对可持续发展的作用——以江苏为例[J]. 生态经济(学术版), 2007 (2):158-161.
[29] 简晓彬, 刘宁宁, 沈正平. 南北挂钩机制下徐州、无锡产业联动发展初探[J]. 经济纵横, 2007(2):79-81.
[30] 周松兰, 刘栋. 产业关联度分析模型及其理论综述[J]. 商业研究, 2005(5):7-11.
[31] Ghosh A., Sarkar H.. An Input-Output Matrix as a Spatial Configuration [J]. Economicsof Planning,1970(1-2):133-142.
[32] Mohit K. Roy. A Note on the Computation of an Optimal Ordering for an Input-Output Matrix [J]. Economics of Planning,1971(1-2):95-97.
[33] Jean-Marie Blin. A Further Procedure for Ordering an Input-Output Matrix: Some Empirical Evidence [J]. Economics of Planning,l973(1):121-129.
[34] Ghosh A., Bugumbe P. K.. Computation of an Optimal Ordering for an Input-Output Matrix by an Application of Dynamic Programming [J]. Economics of Planning,l981(1):20-22.
[35] Pieter Kop Tansen, Thi js Ten Raa. The Choice of Model in the Construction of Input-Output Coefficients Matrices [J]. International Economic Review, 1990(1):213-227.
[36] Luptacik Mikulas,Bohm Bernhard. Reconsideration of Non-negative Solutions for the Augmented Leontief Model [J]. Iuput-Output Analysis,1998(2):34-37.
[37] Bezdek,Roger H.. Tests of Three Hypotheses Relating to the Leontief Input-Output Model[J]. Journal of the Royal Statistical Society, Series A, 1984 (3):499-509.
[38] Simonovits A.. A Note on the Underestimation and Overestimation of the Leontief Inverse [J]. Econometrica, 1975(3):493-498.
[39] 唐小我. 关于投入产出系统的分解和完全需求系数矩阵(I-A)-1 计算的进一步探讨[J]. 数学的实践与认识, 1993(2):47-50.
[40] 唐小我. 列昂惕夫逆矩阵研究的若干新结果[J]. 统计研究, 1995(2):48-51.
[41] 李长明. 直接消耗系数的修订方法研究——马尔可夫法与投入产出分析的结合[J]. 数量经济技术经济研究, 1985(2): 62-65.
[42] 唐小我. 修订直接消耗系数的一种新方法[J]. 预测, 1991(2):46-50.
[43] 唐小我. 曾勇, 曹长修.投入产出模型直接消耗系数修订的进一步研究[J]. 系统工程, 1994(2):62-66.
[44] 王应明. 应用对数最小二乘法修正投入产出系数[J]. 科技通报, 1994(1):11-16.
[45] 韩旭里. 投入产出模型直接消耗系数修订的准则[J]. 系统工程, 1996 (6):6-9.
[46] 赵秀恒. 投入产出模型求解的进一步研究[J]. 统计研究, 1997 (1):63-64.
[47] 刘起运. 关于投入产出系数结构分析方法的研究[J]. 统计研究, 2002 (2):40-42.
[48] 张金水. 价值型与实物型混合投入产出模型计算物价的简便方法[J]. 控制与决策, 1995(2):188-191.
[49] 王玉潜. 投入产出模型求解条件的经济内涵分析[J]. 统计研究, 2003(2):54-56.
[50] John K. Sharp, William R. Perkins. A New Approach to Dynamic Input-Output Models [J]. Automatica, 1973 (14):77-79.
[51] Gurgul H.. Two-sector Dynamic Model of Input-Output Type [J]. Syst Anal Modelling Simulation,l994(16):71-78.
[52] Silva M. S., de Lima T. P.. Looking for Non-negative Solutions of a Leontief Dynamic Model [J]. Linear Algebra and Its Applications,2003:281-316.
[53] Cambell Stephen L. Nonregular Singular Dynamic Leontief Systems [J]. Econometrica, 1979 (6):1565-1568.
[54] Kieddrowski R., Turnpike A.. Theorem in the Closed Dynamic Leontief Model with a Singular Matrix of Capital Coefficients [J]. Economic Systems Reseach,2001(2):209-222.
[55] Sergio J. Rey. Coefficient Change in Integrated Econometric and Input-Output Models at the Regional Level [J]. Economic Systems Research,1997(4):307-329.
[56] Szyld Daniel B.. Conditions for the Existence of a Balance Growth Solution for the Leontief Dynamic Input-Output Model [J]. Econometrica, 1985 (6):1411 一 1420.
[57] Steenge,Albert E.. Instability Problems in the Dynamic Leontief Model:an Ecnomic Explanation [J]. Economic Systems Reseacher,1990(4):357-361.
[58] 邬义钧, 邱均. 产业经济学[M]. 北京:中国统计出版社, 2001.
[59] 赵锐. 对我国 87-97 年间产业经济效益和产业关联的实证分析[D]. 电子科技大学, 2003.
[60] 朱选功. 河南省区域经济协调发展的产业关联分析[J]. 河南师范大学学报(哲学社会科学版), 2005, 32(4):55-59.
[61] 章文光, 梁丽红. 跨国公司与中国企业产业关联分析[J]. 中国流通经济, 2004(11):43-46.
[62] 李岩, 金浩, 李延军等. 产业关联效应的计量分析及主导产业的选择[J]. 河北工业大学学报, 2004, 33(3), 87-91.
[63] 夏明, 彭春燕. 20 世纪末期中国产业关联变动和结构升级[J]. 上海经济研究, 2004(3):17-23.
[64] 李国娟. 从产业关联看上海产业结构的调整方向[J]. 上海统计, 2000(10):8-11.
[65] 李江帆, 李冠霖, 江波. 旅游业的产业关联和产业波及分析[J]. 旅游学刊, 2001(3):19-25.
[66] 李永. 我国目前产业关联结构效果的实证分析[J]. 广西社会科学, 2003(3):80-82.
[67] 史丹. 产业关联与能源工业市场化改革[J]. 中国工业经济, 2005(12):14-21.
[68] 中国投入产出学会课题组. 我国能源部门产业关联分析——2002 年投入产出表系列分析报告之六[J]. 统计研究, 2007, 24(5):3-5.
[69] 夏明, 彭春燕. 能源紧张背后的产业关联变动影响分析[J]. 社会科学辑刊, 2004(3):52-56.
[70] Gereffi, G.. International trade and industrial upgrading in the apparel commodity chain [J]. Journal of International Economics, 1999(48):37-70.
[71] Humphrey, J., & Schmitz, H.. Governance and upgrading: Linking industrial cluster and global value chain research. IDS Working Paper, No.120, Institute of Development Studies, University of Sussex, Brighton.2000.
[72] Humphrey, J., & Schmitz, H.. Developing country firms in the world economy: Governance and upgrading in global value chains [R]. Duisburg:University of Duisburg,2002.
[73] 刘曙光, 杨华. 关于全球价值链与区域产业升级的研究综述[J]. 中国海洋大学学报(社会科学版), 2004(5):27—30.
[74] 傅国华. 运转农产品产业链, 提高农业系统效益, 中国农业经济[J]. 1996, (11):24-25.
[75] 吴金明, 邵昶. 产业链形成机制研究——“4+4+4”模型[J]. 中国工业经济, 2006(4):36-43.
[76] 龚勤林. 产业链接通的经济动因与区际效应研究[J]. 理论与改革, 2004(3):105-108.
[77] 龚勤林. 论产业链延伸与统筹区域发展[J]. 理论探讨, 2004(3):62-63.
[78] 龚勤林. 区域产业链研究[D]. 四川大学, 2004.
[79] 吴金明, 张磐, 赵曾琪. 产业链、产业配套半径与企业自生能力[J]. 中国工业经济, 2005(2):44-50.
[80] 任一鑫, 于喜展, 叶蔚. 煤炭产业链发展模式研究[J]. 中国煤炭, 2004, 30(3):26-27.
[81] 任一鑫, 于喜展, 叶蔚等. 煤炭企业价值链和产业链研究的必要性[J]. 煤炭科技, 2004(2):8-10.
[82] 刘毅军, 姜海超. 开发利用天然气要重视产业链风险[J]. 天然气工业, 2003(11):150-155.
[83] 刘毅军, 程鹏飞, 刘虹. 天然气产业链下游市场的风险因素分析[J]. 国际石油经济, 2003(11):35-38.
[84] 华贲. 中国 LNG 产业链的发展策略探讨[J]. 石油化工建设(LNG 建设特刊):17-20.
[85] 顾安忠, 曹文胜. 中国液化天然气产业链[J]. 石油化工建设(LNG 建设特刊):12-16.
[86] 尚海涛. 发挥煤炭综合开发优势构建煤基多联产业链, 促进煤炭工业可持续发展[J]. 煤炭经济研究, 2001(4):4-7.
[87] 李炜, 郭同茂. 煤电铝一体化发展提高企业核心竞争力[J]. 中国煤炭, 2003(5):16-17.
[88] 王祝堂, 郭霓, 任柏峰. 煤—电—铝—铝材一体化:中国发展铝工业最佳模式[J]. 世界有色金属, 2003(5):8-11.
[89] 许崇信. 淮北矿业集团努力打造一流煤焦化电基地[J]. 中国煤炭, 2005(1):20-23.
[90] 刘红艳. 南非萨索尔公司煤基产业链对中国煤炭企业的启示[J]. 煤矿现代化, 2002(2):7-9.
[91] 刘剑平, 朱和. 近年来跨国石油石化公司对华投资特点及趋势分析[J]. 国际石油经济, 2003(9):5-11.
[92] 王德禄. 能源产业发展趋势及价值链分析(上)[J]. 新材料产业, 2004(11):10-16.
[93] 王德禄. 能源产业发展趋势及价值链分析(下)[J]. 新材料产业, 2004(12):9-17.
[94] 陆刚, 孙宇博, 丁兆国等. 煤炭产业链模式构建及应用研究[J]. 发展论坛, 2005(7):23-25.
[95] 王志宏, 何志强. 矿区可持续发展中的技术创新与产业链延伸[J]. 煤炭学报, 2003, 28(4):349-352.
[96] 李嘉图. 政治经济学及赋税原理[M]. 北京:商务印书馆, 1962.
[97] 陈刚, 陈红儿. 区际产业转移理论探微[J]. 贵州社会科学, 2001(4):2-6.
[98] 陈红儿. 区际产业转移的内涵、机制、效应[J]. 内蒙古社会科学(汉文版), 2002, 23(1):16-18.
[99] 李新. 长三角向西部产业转移的理论及实证研究[D]. 苏州大学, 2004.
[100] 阿瑟?刘易斯. 国际经济秩序的演变[M]. 北京:商务印书馆, 1984.
[101] 汪斌, 赵张耀. 国际产业转移理论述评[J]. 浙江社会科学, 2003(6):45-49.
[102] 小岛清. 对外贸易论[M]. 天津:南开大学出版社, 1987.
[103] 劳尔?普雷维什. 外围资本主义:危机与改造[M]. 北京:商务印书馆, 1990.
[104] 陈建南. 发展中国家对外直接投资理论述评[J]. 经济学动态, 2001(2):65-67.
[105] 蒋文军, 孙宏军. 欠发达地区要策应产业转移[J]. 老区建设, 2001(9):32-33.
[106] 曹荣庆. 浅谈区域产业转移和结构优化的推进路径[J]. 浙江师范大学学报(社会科学版), 2002, 27(4):68-71.
[107] 翟松天, 徐建龙. 中国东西部产业结构联动升级中的产业对接模式研究[J]. 青海师范大学学报(社会科学版), 1999(2):1-6.
[108] 吴晓军 , 赵海东. 产业转移与欠发达地区经济发展[J]. 当代财经, 2004(6):96-99.
[109] 任太增. 比较优势理论与梯级产业转移[J]. 当代经济研究, 2001(11):47-50.
[110] 王傲兰. 是什么阻滞了梯度推进及产业转移[J]. 决策咨询, 2003(8):50-51.
[111] 魏后凯. 产业转移的发展趋势及其对竞争力的影响[J]. 福建论坛经济社会版, 2003(4):11-15.
[112] 张文倩, 张卓. 东部产业转移对西部产业发展的影响[J]. 特区经济, 2005(1):93.
[113] 李小建, 覃成林, 高建华, 我国产业转移与中原经济崛起, 中州学刊, 2004(3):15-18.
[114] 陈计旺. 东部地区产业转移与中部地区经济发展[J]. 山西师大学报(社会科学版), 2003, 30(3):41-46.
[115] 李本和. 东西部地区的“两环联动”与中部地区的“引体向上”[J]。嘉兴学院学报, 2005, 17(1):50-55.
[116] 孙海鸣, 赵晓雷. 2003 中国区域经济发展报告[M]. 上海:上海则经大学出版利, 2003.
[117] 张金锁, 康凯. 区域经济学[M]. 天津:天津大学出版社, 2003:50-58.
[118] 夏德孝, 张道宏. 区域协调发展理论的研究综述[J]. 生产力研究, 2008(1):144-147.
[119] 刘庆刚. 区域协调发展与西部开发——现代化进程的新阶段[J]. 山东师大学报(社会科学版), 1996 ( 3):14-17.
[120] 张可云, 洪世键. 全球化背景下中国区域分工与合作问题探讨[J]. 经济经纬, 2004(6):45-48.
[121] 吕政. 对“十一五”时期我国工业发展若干问题的探讨[J]. 中国工业经济, 2004(11):5-10.
[122] 魏后凯. 引导沿海产业向中西部转移是统筹区域发展的重要举措[N]. 人民日报, 2006-02-25.
[123] 邬义钧, 邱均. 产业经济学[M]. 北京:中国统计出版社, 2001:20,125-127.
[124] 杨公朴, 夏大慰. 现代产业经济学[M]. 上海:上海财经济大学出版社, 2002:316-318.
[125] 简新华. 产业经济学[M]. 武汉:武汉大学出版社, 2002.
[126] 周路明. 关注高科技“产业链”[J]. 深圳特区科技, 2001(11):10-11.
[127] Porter, M.E. Clusters and the New Economics of Competition [J]. Harvard Business Review, 1998, 76(6):77-90.
[128] 卢根鑫. 国际产业转移论[M]. 上海:上海人民出版社, 1997:2.
[129] 于刃刚, 李玉红, 产业融合论[M], 北京:人民出版社, 2006.
[130] 王珺. 集群成长与区域发展[M]. 北京:经济科学出版社, 2004:1-23. 3
[131] Jonas Lind. Ubiquitous Convergence: Market Redefinitions Generated by Technological Change and the Industry Life Cycle[C]. Paper for the DRUID Academy Winter 2005 Conference, January 27 - 29, 2005.
[132] 徐国志等. 系统科学与工程研究[M]. 上海:上海科技教育出版社, 2000.
[133] 李良荣. 新闻学概论[M]. 上海:复旦大学出版社, 2005:249-252.
[134] 樊纲, 王小鲁, 朱恒鹏. 中国市场化指数——各地区市场化相对进程 2006 年报告[M]. 北京:经济科学出版社, 2007:13-18.
[135] 陈红兵. 复杂性科学与机械世界观向生态世界观转型[J]. 学术论坛, 2005(5):24-28.
[136] 柴立和, 杨战. 复杂性科学的几大学派及其研究特点[J]. 现代物理知识, 2004(6):25-30.
[137]Gkug Morc. What is complexity science Postmodernist or Postpositivist? [J]. Emergence, 2001,3(1): 104-119.
[138] 钱学森, 于景元, 戴汝为. 一个科学新领域——开放的复杂巨系统及其方法论[J]. 水文地质工程地质, 1990.(3):3-9.
[139] 宋学锋. 复杂性、复杂系统与复杂性科学[J]. 中国科学基金, 2003(5):262-269.
[140] 史定华. 网络——探索复杂性的新途径[J]. 系统工程学报, 2005(2):115-119.
[141] 刘曾荣, 李挺. 复杂系统理论剖析[J]. 自然杂志, 2004(3):149-151.
[142] Li X,Wang X F. Pinning control of scale-free chen's networks[R]. The Second Asia-Pacific Workshorp on chaos Control and Synchronization at shanghai,2003.
[143] Erd?s P, Rényi A. Publications of the Mathematical Institute of the Hungarian Academy of Science,1960(5):17.
[144] Erd?s P, Rényi A. Acta Mathematica Scientia Hungary,1961(12):261.
[145] Bollobas B. Random Graphs[M]. London: Academic Press Inc,1985.
[146] Watts D J, Strogatz S H. “小世界”网络的群体动力行为[J]. Nature, 1998(393): 440-442.
[147] Barabasi A L,Albert R. 随机网络中标度的涌现[J]. Science,1999(286):509-512.
[148] 方锦清, 江小帆, 郑志刚, 毕桥, 狄增如, 李翔. 一门崭新的交叉科学:网络科学(上) [J]. 物理学进展, 2007(9):239-341.
[149] Albert R, Jeong H, Barabasi A. L. Diameter of the World-Wide Web [J]. Nature, 1999, 401(6749):130-131.
[150] Broder, A Tomkins, A. et al.. Graph structure in the web [J]. Computer Networks, 2000(33):309-320.
[151] Ravi Kumar, Prabhakar Raghavan, et al.. Trawling the web for emerging cyber-communities [J]. Computer Networks,1999(31):1481-1493.
[152] Huberman, B. A. and Adamic, L. A. . Internet: growth dynamics of the world-wide web [J]. Nature, 1999(401):131?.?
[153] Adamic,L. A. . The small world web[C], Proceedings of the 3rd European Conference Research and Advanced Technology for Digital Libraries, ECDL'99,LNCS 1696, Paris, France, September, 1999:443-452.
[154] Kumar R. , Raghavan P. , Rajagopalan S. , Sivakumar D. , Tomkins, A. S. , and Upfal E. Stochastic models for the Web graph[C], in Proceedings of the 42st Annual IEEE Symposium on the Foundations of Computer Science,pp57-65, Institute of Electrical and Electronics Engineers, New York,2000.
[155] Flake, G. W. ,Lawrence, S. R. ,Giles, C. L. , and Coetzee, F. M. Self-organization and identification of Web communities[J]. IEEE Computer, 2002(35): 66-71.
[156] Faloutsos M, Faloutsos P, Faloutsos C. On power-law relationships of the Internet topology[J]. Comput Common. Rev. , 1999(29): 251.
[157] R. Pastor-Satorras, Vespignani A. Evolution and structure of the Internet: a statistical physics approach [M]. Cambridge : Cambridge university press, 2004.
[158] Faloutsos M. ,Faloutsos P. , Faloutsos C. On power-law relationships of the Internet topology [J] , Computer Communications Review,1999(29): 251-262.
[159] Govindan, R. , and H. Tangmunarunkit, Heuristics for Internet map discovery[C], in Proceedings of IEEE INFOCOM 2000(3): 1371.
[160] Yook S. H. ,Jeong H. ,and A. Barabasi A. -L, Modeling the Internet's large-scale topology [J] . Proc. Nat. Acad. Sciences, 2002(99): 13382-13386.
[161] Jeong H,Tombor B,Albert R et al. The large-scale organization of metabolic networks [J]. Nature, 2000(407): 651-654.
[162] E. Almaas, B. Kovacs, T. Vicsek et al. Global organization of metabolic fluxes in the bacterium Escherichiacoli [J]. Nature, 2004(427):839.
[163] Jeong, H. , Tombor, B. , Albert, R. , Oltvai, Z. N. , and Barabasi, A. -L. The large-scale organization of metabolic networks[J]. Nature 407, 651-654 (2000).
[164] Jeong, H. , Mason, S., Barabasi, A. -L. , and Oltvai, Z. N. , Lethality and centrality in protein networks[J]. Nature, 2001(411): 41-42.
[165] Fell D. A. and Wagner A.. The small world of metabolism [J]. Nature Biotechnology,2000,18(11): 1121-1122.
[166] W Li and X. Cai. Statistical analysis of airport network of China [J]. Phys. Rev. E, 2004(69): 046106.
[167] A. Batrat, M. Barthelemy, R. Pastor-Satorras et al. The architecture of complex weighted networks [J]. Proc. Natl. Acad. Sci. U. S. A., 2004(101): 3747-3752.
[168] Ganesh Bagler. Analysis of the Airport Network of India as a complex weighted network [J/OL]. arXiv:cond- mat/0409773.
[169] Newman M E J. The structure and function of complex networks [J]. SIAM Review, 2003(45):167-256.
[170] S. Boccaletti, V Latora, Y Moreno, M. Chavez and D. U. Hwang. Complex networks: structure and dynamics [J]. Physics Reports, 2005(424): 175.
[171] Smith, R. D., Instant messaging as a scale-free network [R]. http://arxiv.org/PS_cache/ cond-mat/ pdf/02 06/0206378v2. pdf
[172] Lilj eros, F. , Edling, C. R. , Amaral, L. A. N. , Stanley, H. E. , and Aberg, Y, The web of human sexual contacts[J] . Nature, 2001(411): 907-908.
[173] Ebel, H. , Mielsch, L. -I. , and Bornholdt, S. Scale-free topology of e-mail networks[J]. Phys. Rev. E, (66):035103.
[174] Newman, M. E. J. , Forrest, S. , Balthrop J. Email networks and the spread of computer viruses[J]. Phys. Rev. E, 2002(66): 035101.
[175] Newman M E J. The structure of scientfic collaboration networks [J]. Proc. Natl. Acad. Sci. USA, 2001(411):907-908.
[176] Newman M E J. Scientific collaboration networks I: Network construction and fundamental results [J]. Phys. Rev. E, 2001(64): 016131.
[177] Newman M E J. Scientific collaboration networksⅡ: Shortest paths,weighted networks, and centrality [J]. Phys. Rev. E, 2001(64):016132.
[178] Barabasi, A. -L, Jeong, H. , Ravasz, E. , Neda, Z. , Schuberts, A. , and Vicsek, T. ,Evolution of the social network of scientific collaborations[J]. Physica A , 2002(311): 590-614.
[179] Albert R, Barabasi A L. Statistical mechanics of complex networks [J]. Reviews of Modenn Physics, 2002(74): 47-97.
[180] Yang X. S.. Chaos in small-word networks [J]. Phys. Rev. E, 2001(63):046206.
[181] Yang X. S.. Fractals in small-word network with time-delay [J]. Chaos, Solitons and Fractals, 2002(13):215-219.
[182] Newman, Mark E.J. The structure and function of complex networks [J]. SIAM Review, 2003, 45(2) :167-256.
[183] R. Albert and A-L. Barabási, statistical Mechanics of complex network[J]. Review of Modern Physics, 2002(74):47-97.
[184] 郭雷, 许晓鸣. 复杂网络[M]. 上海:上海科技教育出版社, 2006(11):P27-48.
[185] S. H. Yook, H. Jeong, A. -L. Barabasi, and Y. Tu. Weighted evoluing networks [J]. Phys. Rev. Lett., 2001(86):5835.
[186] D. Zheng, S. Trimper, B. Zheng and P. M. Hui. Weighted scale-free networks with stochastic weight assignments [J]. Phys. Rev. E, 2003(67):040102.
[187] T. Antal and P. L. Krapivsky. Weight-driven growing networks [J]. Phys. Rev. E, 2005(71): 026103.
[188] A. Barrat, M. Barthelemy, and A. Vespignani. Weighted evolving networks: coupling topology and weight dynamics [J]. Phys. Rev. Lett., 2004(92):228701.
[189] S. N. Dorogovtsev and J. F. F. Mendes. Minimal models of weighted scale-free networks [J]. http://arxiv.org/PS_cache/cond-mat/pdf/0408/0408343v1.pdf.
[190] W. -X. Wang, B. -H. Wang, B. Hu et al. General dynamics of topology and traffic on weighted technological networks [J]. Phys. Rev. Lett. V. ,2005(94):188702.
[191] W. -X. Wang, B. -H. Wang, B. Hu et al. Mutual attraction model for both assortative and disassortative weighted networks [J]. Phys. Rev. E, 2006(73):016133.
[192] Xuelian Sun, Enmin Feng, Jianguo Liu. Evolving Weighted Networks with Edge Weight Dynamical Growth [C]. The 5th ⅡGSS Workshop.
[193] Yang Gang, Zhou Tao, Wang Jie, Fu Zhong-Qian, Wang Bing-Hong. Epidemic spread in weighted scale-free networks [J]. Chinese Physics Letters, 2005, 22(2):501.
[194] M. Chavez, D. -U. Hwang, A. Amann, H. G. E. Hentschel, and S. Boccaletti. Synchronization is enhanced in weighted complex networks [J]. Phys. Rev. Lett., 2005(94):218701.
[195] Adilson E. Motter, Changsong Zhou, and Jurgen Kurths. Weighted networks are more synchronizable: how and why[C]. AIP Conference Proceedings, 2005.
[196] Changsong Zhou, Adilson E. Motter, and Jurgen Kurths. Universality in the synchronization of weighted random networks [J]. Phys. Rev. Lett., 2006(96): 034101.
[197] W. Li , X. Cai. Statistical analysis of airport network of China [J]. Phys. Rev. E.,2004(69):046106.
[198] R. Guimerua, S. Mossa, A. Turtschi, and L. A. N. Amaral. The worldwide air transportation network: Anomalous centrality, community structure, and cities’ global roles [J]. Proc. Nat Acad. Sci. USA, 2005(102):7794.
[199] R. Guimerua , L. A. N. Amaral. Modeling the world-wide airport network [J]. Eur. Phys. J. B., 2004(38):381.
[200] Jinshan Wu, Klaus Hubacek, Menghui Li, Zengru Di. Structure of Production Network [R]. 2004.
[201] 国家发改委国土开发与地区经济研究所副所长. 中国经济区域重划:划分“7+1”经济区浮出水面. [2005.08.11]. http://www.stock2000.com.cn/refresh/arch/2005/08/11/922918.htm.
[202] 国家信息中心. 中国区域间投入产出表[M]. 北京:社会科学文献出版社, 2005.
[203] 林宗虎, 论我国可持续发展的能源道路, 世界科技研究与发展, 1997(5):16-21.
[204] Y. Fan, M. Li, J. Chen, L. Gao, Z. Di and J. Wu. Network of econophysicsts: a weighted to investigated the development of econophysics[J]. Int. J. of Mod. Phys. B, 2004,18(17~19):2505-2512.
[205] B. Derrida and H. Flyvbjerg. Statistical properties of randomly broken objects and of multivalley structures in disordered systems [J]. J. Phys. A, 1987(20):5273.
[206] M. Barthélemy, B. Gondran, and E. Guichard. Spatial structure of the internet traffic [J]. Physica A, 2003(319):633.
[207] J.P. Onnela, J. Jari Saram ?aki, J. Kertész and K. Kaski. Intensity and coherence of motifs in weighted complex networks [J]. Phys. Rev. E, 2005(71): 065103.
[208] Petter Holme, Sung Min Park, Beom Jun Kim, Christofer R. Edling. Korean university life in a network perspective: Dynamics of a large affiliation network [J]. http://arxiv.org/PS_cache/cond-mat/pdf/0411/0411634 v1.pdf
[209] Kumbhaker, S.C. and Lovell C.A.K.. Stochastic Frontier Analysis[M]. Cambridge: Cambridge University Press, 2000.
[210] Chames A., Cooper W. W. and Rhodes E.. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2(6):429-444.
[211] Banker R. D., Charnes A. and Cooper W. W.. Some models for estimating technological scale inefficiencies in data envelopment analysis [J]. Management Science, 1984, 30(9): 1078-1092.
[212] Li Sung-ko and Ng Ying-chu, Measuring the productive efficiency of a group of firms [J]. International Advances in Economic Research, 1995, 1 (4): 377-390.
[213] 张风武. 煤炭城市发展非煤产业的原则、类型与模式. 能源基地建设, 1998(1) .
[214] 辛文昉. 从产业关联看煤炭工业[J]. 煤炭经济研究, 2003(6):12-13.
[215]中国西北地区能源产业发展前景正面临严峻挑战[EB]. http://www.cs.com.cn/ssgs/04/200708/ t20070821_182011.htm.
© 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 |