国民健康与区域经济系统耦合机理与演化发展研究
|
摘要
我国经济高速发展过程中国民健康素质发展问题日益受到重视，但经济繁荣发展与国民健康状态堪忧状况仍然共存，并且在当前复杂国情下，国民健康与区域经济发展不均衡诱因日趋复杂化，继经济发展决定观之后，越来越多的学者把国民健康也作为社会发展的重要目标之一进行研究。国民健康与区域经济两者可以作为一个复杂系统，相互之间存在着正向和反向作用的耦合关系，这一耦合关系与人类社会发展的经济系统与人类自身发展直接相关，进而也关系着区域可持续发展。因此，研究国民健康与区域经济两者耦合现状、内在运作机制与规律，不仅有助于了解区域可持续发展能力，而且也为解决国民健康与区域经济复合系统发展问题、促进区域可持续和谐发展提供理论分析与实践研究基础。
论文基于现有国民健康与区域经济系统耦合发展相关研究文献的综合分析，借鉴现有研究成果，从系统耦合的角度分析国民健康与区域经济系统，以国民健康与区域经济系统耦合发展量化分析为研究目的，从以下五个方面进行了相应研究：
1.基于系统耦合相关理论对国民健康与区域经济系统进行理论分析，并界定该复合系统耦合发展的实质所在与量化分类。研究表明：国民健康与区域经济耦合系统具有整体性、共生性、复杂性、开放性、动态性、自组织性和被组织性等特征，其中区域经济系统对国民健康系统产生胁迫效应，国民健康系统对区域经济系统产生约束效应，对国民健康与区域经济系统的耦合发展状况的量化分析，包括对两个子系统以及复合系统的衡量、系统的耦合发展水平的静态测度与动态侧度、系统的耦合演化等。
2.构建基于效率与熵函数基础上的耦合发展水平静态量化测度模型，并实证分析中国近十年来国民健康与区域经济系统耦合发展规律，揭示该复合系统的子系统与整体在发展过程度中存在的问题。研究表明：基于随机前沿分析（SFA）和数据包络方法（DEA）效率分析测度模型适合于国民健康与区域经济子系统耦合静态水平的测度，国民健康与区域经济子系统耦合水平都表现出平缓上升态势，并且区域之间耦合水平差异较大；基于熵函数对国民健康与区域经济复合系统耦合水平进行静态测度，发现复合系统耦合发展水平总体上处于初阶和中阶程度的水平，在时序上表现出平缓上升态势，省域之间耦合发展水平差异较大，并且这一差异呈现出发散态势。
3.构建基于效率分析与系统耦合度的耦合发展水平动态量化测度模型，从动态角度分析国民健康与区域经济系统耦合发展状况，探讨其所存在的问题。研究表明：基于效率视角的Malmquist生产率指数分解分析国民健康与区域经济系统子系统耦合发展动态趋势，结合SFA方法比DEA方法能较好的排除随机因素而反映其现实实质，测算结果显示区域之间全要素生产率、技术前沿、技术效率、纯技术效率、规模效率五种动态变化差异较大；基于耦合度对国民健康与区域经济复合系统耦合水平动态趋向进行分析，发现复合系统耦合发展水平动态趋向在时序上表现出平缓上升态势，区域之间复合系统耦合发展动态趋向差异较大，但这一差异呈现出收敛态势。
4.以耗散结构、系统熵、系统共生等理论为基础，分析国民健康与区域经济系统耦合演化机制及路径，并探讨其演化过程中的稳态特征。研究表明：国民健康与区域经济复合系统耦合演化是基于宏观层面的耗散结构转换和微观层面“负熵”的吸收，基于logistic的演化分析发现国民健康与区域经济子系统的耦合水平演化都已经经过了初期起步阶段和成长发展阶段，并先后于2008-2009和2004-2005年度进入成熟期，系统内部不和谐现象已然产生，国民健康与区域经济复合系统的耦合发展仍处于起步初期，发展的水平及程度相对较低；另外，复合系统耦合稳态性在八年间处于中等稳态程度状况，且在非典、地震、雪灾以及经济危机的影响下，在2004-2005和2008-2009年度期间呈现出两个“凹”形，出现了大幅下降而甚至表现为非稳态性，但近两年的发展态势呈现出恢复趋势。
5.综合考虑影响国民健康与区域经济系统耦合发展的相关因素，并分别构建子系统与复合系统影响因素测度模型，讨论影响因素对子系统和复合系统产生的各种效应。研究表明：基于SFA方法分析国民健康与区域经济子系统的影响因素发现，对于国民健康子系统耦合发展，高健康服务可达水平促进了其效率的提升，教育水平、政府健康投入能力和城市化水平对其效率产生着负效应，个人健康投入能力则不能发挥明显的影响作用；对于区域经济子系统耦合发展，产权结构变量、贸易依存度变量、技术创新能力变量、产业结构变量和城乡收入差距变量都产生一定的正向促进作用，而政府规制的作用不明显；基于偏最小二乘通径(PLS)方法分析国民健康与区域经济复合系统耦合发展的各种影响因素，发现城乡收入差异较教育水平对其耦合发展的干扰更大，有效处理污染排放的能力则较技术创新能力对其耦合发展的促进更大。
In the process of China's rapid economic development, the more attention be paid to the issue ofcivil health development, but economic prosperity and precarious situation of civil health still coexist,and under the current complicated circumstances, the factors leading civil health and regionaleconomic development to imbalance are increasingly complex. After the concept of economicdevelopment, more and more scholars takeing civil health as one of the important goals of the socialdevelopment to research. Civil health and regional economy both as a complex system, there existforward and reverse effect coupling relationship between them, and this coupling relationship directlyrelated to economic and human development, and bearing on regional sustainable development.Therefore, research on the coupled status, internal operation mechanism and regulation of civil healthand regional economy, not only contribute to the understanding of the capacity of regional sustainabledevelopment, but also provide a theoretical analysis and practical research foundation to solve theproblem of complex system development and promote regional sustainable and harmoniousdevelopment of regional economy.
The paper gives a comprehensive analysis of the existing research of civil health and regionaleconomic system coupling development, referring to the existing research results, analysis of civilhealth and regional economic system from the angle of system coupling, take the couplingquantitative analysis of civil health and regional economic system as the research purposes, thecorresponding research from the following five aspects:
1. Theoretically analyzed civil health and regional economic system based on the systemcoupling theory, quantitative classification and define the essence of the composite system couplingdevelopment. The research shows that: the civil health and regional economic coupling system hascharacteristics of integrity, symbiosis, complexity, openness, dynamic, self-organization andorganization, regional economic generates take stress effects on civil health system, which the civilhealth system take restriction effect on regional economic system. The quantitative analysis of thecoupling development of the civil health and regional economic system, including the coupling levelof development of two subsystems and composite system, measure composite system's static anddynamic development, and the coupling evolution of the system.
2. Construction coupling development static level measure model based on efficiency analysisand entropy function, empirical analyze regulation of coupling development of civil health andregional economic system in recent ten years, reveal the problem of composite system and subsystemsin development process. Research shows that: The efficiency measure model based on the stochasticfrontier analysis (SFA) and data envelopment analysis (DEA) is suitable for measure static couplinglevel of civil health and regional economic subsystem, the coupled levels all showed gradual upwardtrend, and the level of coupling between regional are largely differences; the efficiency measuremodel based on entropy function is suitable for measure static coupling level of the composite system,found generally in the primer and order degree level, and shows a smooth upward trend, difference ofcoupled development level between regional are larger, and this shows a divergent trend.
3. Construction dynamic coupling development level measure model of quantification modelbased on the efficiency analysis and coupling degree, analyze coupling development of civil healthand regional economic system from dynamic angle, discusses its problems. Research shows that: baseon malmquist productivity index, combined with the SFA method can remove random factors andreflected the reality of its essence more than the DEA method, the calculation results show that fivekinds of dynamic changes of regional total factor productivity, the technology frontier, technicalefficiency, pure technical efficiency, scale efficiency are differences; analysis civil health and regionaleconomic complex system coupling level dynamic trend based on coupling degree, found thecoupling development level trend shown slowly rising trend, the composite system coupling dynamicdevelopment between regional are larger, but this difference shows a convergence trend.
4. Based on the dissipative structure, entropy, symbiotic system theories, analyze couplingevolution mechanism and path of civil health and regional economic system, and discuss the steadystate characteristics of its evolution process. Research shows that: as coupling evolution of civil healthand regional economic complex system, it is dissipative structure conversion in macro level and"negative entropy" absorption in micro level, the evolution of logistic analysis showed that the levelof coupling evolution of civil health and regional economic subsystem have been passed the initialstage and growth stage, and entering the mature stage on2008-2009and2004-2005, and disharmonyphenomenon of internal system is produced; the coupling development of civil health and regionaleconomic complex system is still in the initial stage, the development level is relatively low; inaddition, the composite system coupling steady moderate steady-state level in eight years, andshowing two "concave" shape during2004-2005and2008-2009, fell sharply and even performance isunstable, but the development of nearly two years showing a recovery trend.
5. Considering the factors related to coupling development of civil health and regional economicsystem, and construction effect factors measurement model of subsystem and the composite system,discusses the influence of various factors on the effect of system and composite system. Researchshows that: Analyze the influencing factors of the civil health and regional economic subsystem basedon the SFA method, found that for coupling development of civil health system, high level of healthservices promote its efficiency, level of education, government health input ability and developmentlevel of the city has a negative effect on the efficiency, effect capacity of personal health input can notplay obviously; for coupled development of regional economic subsystem, property rights structurevariables, trade dependence variable, technology innovation ability, the industrial structure variablesvariables and the income gap between urban and rural produces certain positive role, but the role ofgovernment regulation is not obvious; analyze various factors impact of coupling development of civilhealth and regional economic complex system based on partial least squares path (PLS) method,urban-rural income difference play a more effective interfere then educational level, pollutionemissions promote greater capability on the coupling development then technological innovation.
论文基于现有国民健康与区域经济系统耦合发展相关研究文献的综合分析，借鉴现有研究成果，从系统耦合的角度分析国民健康与区域经济系统，以国民健康与区域经济系统耦合发展量化分析为研究目的，从以下五个方面进行了相应研究：
1.基于系统耦合相关理论对国民健康与区域经济系统进行理论分析，并界定该复合系统耦合发展的实质所在与量化分类。研究表明：国民健康与区域经济耦合系统具有整体性、共生性、复杂性、开放性、动态性、自组织性和被组织性等特征，其中区域经济系统对国民健康系统产生胁迫效应，国民健康系统对区域经济系统产生约束效应，对国民健康与区域经济系统的耦合发展状况的量化分析，包括对两个子系统以及复合系统的衡量、系统的耦合发展水平的静态测度与动态侧度、系统的耦合演化等。
2.构建基于效率与熵函数基础上的耦合发展水平静态量化测度模型，并实证分析中国近十年来国民健康与区域经济系统耦合发展规律，揭示该复合系统的子系统与整体在发展过程度中存在的问题。研究表明：基于随机前沿分析（SFA）和数据包络方法（DEA）效率分析测度模型适合于国民健康与区域经济子系统耦合静态水平的测度，国民健康与区域经济子系统耦合水平都表现出平缓上升态势，并且区域之间耦合水平差异较大；基于熵函数对国民健康与区域经济复合系统耦合水平进行静态测度，发现复合系统耦合发展水平总体上处于初阶和中阶程度的水平，在时序上表现出平缓上升态势，省域之间耦合发展水平差异较大，并且这一差异呈现出发散态势。
3.构建基于效率分析与系统耦合度的耦合发展水平动态量化测度模型，从动态角度分析国民健康与区域经济系统耦合发展状况，探讨其所存在的问题。研究表明：基于效率视角的Malmquist生产率指数分解分析国民健康与区域经济系统子系统耦合发展动态趋势，结合SFA方法比DEA方法能较好的排除随机因素而反映其现实实质，测算结果显示区域之间全要素生产率、技术前沿、技术效率、纯技术效率、规模效率五种动态变化差异较大；基于耦合度对国民健康与区域经济复合系统耦合水平动态趋向进行分析，发现复合系统耦合发展水平动态趋向在时序上表现出平缓上升态势，区域之间复合系统耦合发展动态趋向差异较大，但这一差异呈现出收敛态势。
4.以耗散结构、系统熵、系统共生等理论为基础，分析国民健康与区域经济系统耦合演化机制及路径，并探讨其演化过程中的稳态特征。研究表明：国民健康与区域经济复合系统耦合演化是基于宏观层面的耗散结构转换和微观层面“负熵”的吸收，基于logistic的演化分析发现国民健康与区域经济子系统的耦合水平演化都已经经过了初期起步阶段和成长发展阶段，并先后于2008-2009和2004-2005年度进入成熟期，系统内部不和谐现象已然产生，国民健康与区域经济复合系统的耦合发展仍处于起步初期，发展的水平及程度相对较低；另外，复合系统耦合稳态性在八年间处于中等稳态程度状况，且在非典、地震、雪灾以及经济危机的影响下，在2004-2005和2008-2009年度期间呈现出两个“凹”形，出现了大幅下降而甚至表现为非稳态性，但近两年的发展态势呈现出恢复趋势。
5.综合考虑影响国民健康与区域经济系统耦合发展的相关因素，并分别构建子系统与复合系统影响因素测度模型，讨论影响因素对子系统和复合系统产生的各种效应。研究表明：基于SFA方法分析国民健康与区域经济子系统的影响因素发现，对于国民健康子系统耦合发展，高健康服务可达水平促进了其效率的提升，教育水平、政府健康投入能力和城市化水平对其效率产生着负效应，个人健康投入能力则不能发挥明显的影响作用；对于区域经济子系统耦合发展，产权结构变量、贸易依存度变量、技术创新能力变量、产业结构变量和城乡收入差距变量都产生一定的正向促进作用，而政府规制的作用不明显；基于偏最小二乘通径(PLS)方法分析国民健康与区域经济复合系统耦合发展的各种影响因素，发现城乡收入差异较教育水平对其耦合发展的干扰更大，有效处理污染排放的能力则较技术创新能力对其耦合发展的促进更大。
In the process of China's rapid economic development, the more attention be paid to the issue ofcivil health development, but economic prosperity and precarious situation of civil health still coexist,and under the current complicated circumstances, the factors leading civil health and regionaleconomic development to imbalance are increasingly complex. After the concept of economicdevelopment, more and more scholars takeing civil health as one of the important goals of the socialdevelopment to research. Civil health and regional economy both as a complex system, there existforward and reverse effect coupling relationship between them, and this coupling relationship directlyrelated to economic and human development, and bearing on regional sustainable development.Therefore, research on the coupled status, internal operation mechanism and regulation of civil healthand regional economy, not only contribute to the understanding of the capacity of regional sustainabledevelopment, but also provide a theoretical analysis and practical research foundation to solve theproblem of complex system development and promote regional sustainable and harmoniousdevelopment of regional economy.
The paper gives a comprehensive analysis of the existing research of civil health and regionaleconomic system coupling development, referring to the existing research results, analysis of civilhealth and regional economic system from the angle of system coupling, take the couplingquantitative analysis of civil health and regional economic system as the research purposes, thecorresponding research from the following five aspects:
1. Theoretically analyzed civil health and regional economic system based on the systemcoupling theory, quantitative classification and define the essence of the composite system couplingdevelopment. The research shows that: the civil health and regional economic coupling system hascharacteristics of integrity, symbiosis, complexity, openness, dynamic, self-organization andorganization, regional economic generates take stress effects on civil health system, which the civilhealth system take restriction effect on regional economic system. The quantitative analysis of thecoupling development of the civil health and regional economic system, including the coupling levelof development of two subsystems and composite system, measure composite system's static anddynamic development, and the coupling evolution of the system.
2. Construction coupling development static level measure model based on efficiency analysisand entropy function, empirical analyze regulation of coupling development of civil health andregional economic system in recent ten years, reveal the problem of composite system and subsystemsin development process. Research shows that: The efficiency measure model based on the stochasticfrontier analysis (SFA) and data envelopment analysis (DEA) is suitable for measure static couplinglevel of civil health and regional economic subsystem, the coupled levels all showed gradual upwardtrend, and the level of coupling between regional are largely differences; the efficiency measuremodel based on entropy function is suitable for measure static coupling level of the composite system,found generally in the primer and order degree level, and shows a smooth upward trend, difference ofcoupled development level between regional are larger, and this shows a divergent trend.
3. Construction dynamic coupling development level measure model of quantification modelbased on the efficiency analysis and coupling degree, analyze coupling development of civil healthand regional economic system from dynamic angle, discusses its problems. Research shows that: baseon malmquist productivity index, combined with the SFA method can remove random factors andreflected the reality of its essence more than the DEA method, the calculation results show that fivekinds of dynamic changes of regional total factor productivity, the technology frontier, technicalefficiency, pure technical efficiency, scale efficiency are differences; analysis civil health and regionaleconomic complex system coupling level dynamic trend based on coupling degree, found thecoupling development level trend shown slowly rising trend, the composite system coupling dynamicdevelopment between regional are larger, but this difference shows a convergence trend.
4. Based on the dissipative structure, entropy, symbiotic system theories, analyze couplingevolution mechanism and path of civil health and regional economic system, and discuss the steadystate characteristics of its evolution process. Research shows that: as coupling evolution of civil healthand regional economic complex system, it is dissipative structure conversion in macro level and"negative entropy" absorption in micro level, the evolution of logistic analysis showed that the levelof coupling evolution of civil health and regional economic subsystem have been passed the initialstage and growth stage, and entering the mature stage on2008-2009and2004-2005, and disharmonyphenomenon of internal system is produced; the coupling development of civil health and regionaleconomic complex system is still in the initial stage, the development level is relatively low; inaddition, the composite system coupling steady moderate steady-state level in eight years, andshowing two "concave" shape during2004-2005and2008-2009, fell sharply and even performance isunstable, but the development of nearly two years showing a recovery trend.
5. Considering the factors related to coupling development of civil health and regional economicsystem, and construction effect factors measurement model of subsystem and the composite system,discusses the influence of various factors on the effect of system and composite system. Researchshows that: Analyze the influencing factors of the civil health and regional economic subsystem basedon the SFA method, found that for coupling development of civil health system, high level of healthservices promote its efficiency, level of education, government health input ability and developmentlevel of the city has a negative effect on the efficiency, effect capacity of personal health input can notplay obviously; for coupled development of regional economic subsystem, property rights structurevariables, trade dependence variable, technology innovation ability, the industrial structure variablesvariables and the income gap between urban and rural produces certain positive role, but the role ofgovernment regulation is not obvious; analyze various factors impact of coupling development of civilhealth and regional economic complex system based on partial least squares path (PLS) method,urban-rural income difference play a more effective interfere then educational level, pollutionemissions promote greater capability on the coupling development then technological innovation.
引文
[1]C. Oliveira e C. H. Antunes, A Multiple Objective Model to Deal with Economy-Energy-Environment Interactions[J]. European Journal of Operational Research,2004,(153):370–385.
[2]Hanley, N, McGregor, P G, Swales, J K and K Turner. The Impact of a Stumulus EnergyEfficiency and the environment: A Regional Computable General Equilibrium Analysis[J].Renewable Energy,2006,31(2):161-171.
[3]GROSSMAN, Gene M.; KRUEGER, Alan B. The inverted-U: what does it mean?[J]. Environment and Development Economics,1996,1(01):119-122.
[4]Schultz, T. W. Investment in Human Capital[J]. American Economic Review,1961,51(1):1-17.
[5]Romer, Paul. Increasing Returns and Long-Run Growth [J]. Journal of Political Economy,1986,94(5):1002-1037.
[6]Lucas, Robert. On the Mechanics of Economic Development[J]. Journal of Monetary Economics,1988,22(1):25-36.
[7]EHRLICH, Isaac; LUI, Francis. Intergenerational trade, longevity, and economic growth[J]. Journal of Political Economy,1991,99(5):1029-1059.
[8]Fogel, Robert W. Economic Growth, Population Theory, and Physiology: The Bearing ofLong-term Processes on the Making of Economic Policy[J]. American Economic Review,1994,84(3):369-395.
[9]Arrow, Kenneth J. Uncertainty and the Welfare Economics of Medical Care[J]. AmericanEconomic Review,1963,53(5):941-973.
[10]Grossman,G. M.'and Krueger, A. B. Economic Growth and the Environment[J]. Quarterly Journalof Economics,1995,110:353-377.
[11]Strauss, J. and D.Thomas. Health, Nutrition and Economic Development[J]. Journal of EconomicLiterature,,1998,36:766-817.
[12]Arora, S,. Health, Human Productivity, and Long-term Economic Growth[J]. The Econo-micHistory,2001,61(3):699-749.
[13]Zon, A. H. and J.Muysken, Health and Endogenous Growth[J]. Journal of Health Economics,2001,20(2):169-185.
[14]Tamura, R. Human Capital and Economic Development[J]. Journal of Development Economics,2006,79(1):26-72.
[15]Hemmi, N., K. Tabata and K. Futagami. The Long-term Care Problem, Precautionary Saving,and Economic Growth[J]. Journal of Macroeconomics,2007,29(1):60-74.
[16]Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P.,&Chen, J.Socioeconomic factors, health behaviors, and mortality [J]. The Journal of the American MedicalAssociation,1998,279(21):1703-1708.
[17]Dickenson, D. Ethics watch: The threatened trade in human ova [J].Nature ReviewsGenetics,2004,5(3):167-187.
[18]杨建芳,龚六堂,张庆华.人力资本形成及其对经济增长的影响——一个包含教育和健康投入的内生增长模型及其检验[J].管理世界,2006,(05):10-18.
[19]Grossman, M.. The Demand for Health: A Theoretical and Empirical Investigation[M]. NBER,Occasional, Columbia University Press,1972.
[20]王弟海，龚六堂，李宏毅．健康人力资本、健康投资和经济增长——以中国跨省数据为例[J]．管理世界,2008,(03)：27-39．
[21]Weil, David N..Accounting for the Effect of Health on Economic Grow the[J]. Quarterly Journalof Economics,,2007,122(3):1265-1306.
[22]Pritchett, L. Where has all the education gone?[J]. The World Bank Economic Revie-w,2001,15(3):367-391.
[23]杨玉珍.区域EEES耦合系统演化机理与协同发展研究[D].天津:天津大学,2012.
[24]Dennis L. Meadows. The Limits to Growth[M].New York：Universe Books,1972,1-5.
[25]姚建.环境经济学[M].成都：西南财经大学出版社,2001.
[26]杨玉珍，许正中.系统间耦合衍生的复合生态型理念及其运行综述[J].科技管理研究,2009,(12)：364-366.
[27]欧阳培，欧阳强.新的研究领域：排泄资源与排泄资源经济[J].长沙大学学报,2004,18（1）：23-26.
[28]诸大建，朱远.生态效率与循环经济[J].复旦大学学报（社会科学版），2005，（2）：60-66.
[29]许涤新.生态经济学[M].哈尔滨：黑龙江人民出版社，2004，21-24.
[30]余春祥.对绿色经济发展的若干理论探讨[J].经济问题探索，2003，（12）：92-95.
[31]赵斌.关于绿色经济理论与实践的思考[J].社会科学研究，2006，（2）：5-6.
[32]鲍健强，苗阳，陈锋.低碳经济：人类经济发展方式的新变革[J].中国工业经济，2008，（4）：153-160.
[33]任继周，万长贵.系统耦合与荒漠——绿洲草地农业系统[J].草业学报.1994，3(3):21-27.
[34]邵权熙.当代中国林业生态经济社会耦合系统及耦合模式研究[D].北京:北京林业大学,2008.
[35]杨红.生态农业与生态旅游业耦合机制研究[D].重庆:重庆大学,2009.
[36]孙立成.区域食物—能源—经济—环境—人口（FEEEP）系统协调发展研究[D].南京:南京航空航天大学,2012.
[37]张文龙.城市化与产业生态化耦合发展研究[D].广州:暨南大学,2009.
[38]黄晓军.城市物质与社会空间耦合机理与调控研究[D].长春:东北师范大学,2012.
[39]任露泉，梁云虹.生物耦合及其分类学与特征规律研究[J].中国科学：技术科学，2010，40（1）：5-12.
[40]Friedel Juergen K. Ehrmann otto，Pfeffer Michael，etc, Soil microbial biomass and activity：theeffete of site characteristics In humid temperate forest ecosystems[J]. Journal of Plant Nutrition andsoil Science，2006，169（2）：175-184.
[41]任继周，朱兴运.中国河西走廊草地农业的基本格局和它的系统相悖：草原退化的机理初探[J].草业学报，1995，4（l）：69-79.
[42]吕晓.塔里木河流域农用地生态经济系统耦合发展研究田[D].乌鲁木齐:新疆农业大学,2009.
[43]普里戈金，G.尼科里斯.非平衡系统的自组织[M].北京:科学出版社,1986.
[44]Murat M. Experiences from Early Stages of a National Industrial Symbiosis Programme in theUK: Determinants and Coordination Challenges[J]. Journal of Cleaner Production,2004,12(11):967-983.
[45]袁纯清.共生理论—兼论小型经济[M].北京:经济科学出版社,1998.
[46]黄敏.基于共生理论的利益相关者管理研究[D].昆明:云南大学,2012.
[47]冯·贝塔朗菲.一般系统论:基础、发展和应用[M].林康义,魏宏森等译.北京:清华大学出版社,1987.
[48]穆光宗.人口增长效应理论：一个新的假说[J].经济研究,1997,(6):49-56.
[49]王红瑞，蔡越虹等.人口、能源消费、经济发展对环境影响的定量研究[J].北京师范大学学报(自然科学版),1999,25(1):123-126.
[50]曾珍香,段丹华,张培等.基于复杂系统理论的区域协调发展机制研究—以京津冀区域为例[J].改革与战略,2008,24(1):89-91.
[51]刘晓艳.新农村科技、经济、社会、环境耦合仿生及协同管理研究[D].长春:吉林大学,2010.
[52]庞艳桃，赵光辉.论企业与环境的互塑共生性[J].当代经济，2004（12）：33-37.
[53]黄思铭.可持续发展的评判[M].北京：高等教育出版社，2001.
[54]托姆，赵松年等译.结构稳定性与形态发生学[M].成都：四川教育出版社，1992.
[55]艾根，舒斯特尔，曾国屏，沈小峰译.超循环论[M].上海：上海译文出版社，1990.
[56]吴彤.自组织方法论研究[M].北京：清华大学出版社，2001.
[57]Craig Loehle. Control theory and the management of ecosystems[J].Journal of Applied Ecology，2006，43（5）：957-966.
[58]王雨田编.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社，1988.
[59]马世骏，王如松.复合生态系统与持续发展复杂性研究[M].北京：科学出版社，1993.
[60]王维国，宋阳，郭多祚.一种求解混合多目标规划问题的功效函数法[J].运筹与管理，2007（4）：24-27.
[61]潘开灵，白列湖.管理协同机制研究[J].系统科学学报，2006（l）：45.
[62]叶民强.双赢策略与制度激励：区域可持续发展评价与博弈分析[M].北京：社会科学文献出版社，2002，56-62.
[63]翟欣翔，赵国杰，蔡振宇等.融入可持续发展观的技术评价指标体系构建[J].科学学与科学技术管理，2004,(8):92-95.
[64]John E Delery.Issues of fit in strategic human resource management： Implications for research[J].Human Resource Management Review，1998，3：289-309.
[65]WBCSD.Measuring Eeoeffieieney: Aguide to RePorting ComPany Performane [M]. Geneva,World Business Council for Sustalnable DeveloPment,2000.
[66]叶正波.可持续化发展预警系统理论及实践[M].北京:经济科学出版社,2002.
[67]镇常青.多目标决策中的权重调查方法[J].系统工程理论与实践,1987,(04):23-26.
[68]Jensen R E.An Alternative Scaling Method for Priorities in Hierarchical Structures[J]. Journal ofMathematical Psychology,1984,(28):317-332.
[69]Saaty T L.The Analytic Hierarchy Process[M].McGraw-Hill,New York,1980.
[70]Crawford G, Williams C.A Note on the Analysis of Subjective Judgement Matrices[J]. Journal ofMathematical Psychology,1985,(29):387-405.
[71]郭亚军.综合评价理论与方法[M].北京:科学出版社，2002.
[72]徐国祥.统计预测和决策[M].上海:上海财经大学出版社,1998.
[73]王宗军.多目标权系数赋值方法及其选择策略[J].系统工程与电子技术,1993,(06):35-41.
[74]王宗军.集成式多目标权系数赋值方法[J].系统工程理论与实践,1996,(08):12-19.
[75]王应明.应用离差最大化方法进行多指标评价与排序[J].系统工程与电子技术,1998,(7):24-26.
[76]徐泽水,孙在东.一类不确定型多指标评价问题的排序方法[J].管理科学学报，2002,(3):35-39.
[77]张尧庭,方开泰.多元统计分析[M].北京：科学出版社,1982.
[78]王道平,梁爱华,李树丞.区域PREE系统可持续发展状况的综合评价方法[J].管理工程学报,2002,16(1):8-11.
[79]魏权龄.数据包络分析[M].北京：科学出版社，2004，1-2.
[80]Zeeny M.Multiple Criteria Decision Making[M]. New York:McGraw-Hill,1982.
[81]唐克.目标的熵权模糊评价[J].系统工程理论与实践,1992,(04):68-73.
[82]张卫民,安景文,韩朝.熵值法在城市可持续发展评价问题中的应用[J].数量经济技术经济研究,2003,(6):115-118.
[83]刘家学,刘耀武.带有方案偏好信息的多指标评价法[J].系统工程与电子技术,1999,(1)：4-7.
[84]Farrell, M.J. The Measurement of Productive Efficiency[J]. Journal of the Royal StatisticSociety,1957,Ser. A120:253-281.
[85]傅晓霞，吴利学．前沿分析方法在中国经济增长核算中的适用性[J].世界经济，2007，(7):56-66．
[86]朱有为，徐康宁．中国高技术产业研发效率的实证研究[J].中国工业经济，2006，(11):38-45．
[87]Banker, R. D.; Gadh, V. M. and Gorr, W. L. A Monte Carlo Comparison of Two ProductionFrontier Estimation Methods: Corrected Ordinary Least Squares and Data Envelopment Analysis[J].European Journal of Operational Research,1993,67:332-343.
[88]Mortimer, D. Competing Methods for Efficiency Measurement: A Systematic Review of DirectDEA vs SFA/DFA Comparisons. Centre for Health Program Evaluation working paper, No.136,2002.
[89]Charnes, A., Cooper, W.W., Rhodes, E. Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(6):429-444.
[90]Banker R D,Charnes A, Cooper W.W. Some Models for Estimating Technical and ScaleInefficiencies in Data Envelopment Analysis[J]. Management Science,1984,30(9):1078-1092.
[91]魏权龄、岳明．DEA概论与C2R模型-数据包络分析[J]．系统工程理论与实践，1989，(1):2-69．
[92]Aigner, J.; Lovell, K. and Schmidt, P. Formulation and Estimation of Stochastic FrontierProduction Function Models[J]. Journal of Econometrics,1977,6:21-37.
[93]Meeusen, W. And Broeck, J. van den. Efficiency Estimation from Cobb-Douglas ProductionFunctions with Composed Error[J]. International Econom ic Review,1977,18:435-444.
[94]Battese G. E, Corra G S. Estination of a Production Frontier Model with Application to thePastoral Zone of Eastern Australia[J]. Australian Journal of Agricultural Economics,1977,(21):169-179.
[95]Battese, G. E. and Coelli,T. J. Frontier Production Functions Technical Efficiency and Panel Datawith Application to Paddy Famer in India[J]. Journal of Productivity Analysis,1992,3:153-169.
[96]Battese, E. and Coelli, T. J. A Model of Technical Inefficiency Effects in Stochastic FrontierProduction for Panel Data[J]. Empirical Econom ics,1995,20:325-332.
[97]Kumbhakar, S. and Lovell, C. Stochastic Frontier Analysis[M]. New York: Cambridge UniversityPress,2000, pp.72.
[98]王争，史晋川．转型时期中国工业生产绩效的地区差异及波动性的解释——基于随机前沿生产函数的分析[J].世界经济文汇，2007，(4):29-45．
[99]R. J. E. Clausius.关于热力学第二定律[M].北京：科学出版社,1975.
[100]N. Wiener.控制论[M].北京：科学出版社,1962.
[101]C. E. Shannon.信息论理论基础[M].上海：上海译文出版社,1987.
[102]席酉民,汪应洛，陶谦坎.评价指标的估价方法及权的探讨[J].系统工程理论与实践，1986(3)：12-16.
[103]World Health Organization,2000, World Health Report: Health Systems-ImprovingPerformance, World Health Organization.
[104]United Nations,2003, Social Indicators: Population Division and Statistics Division of theUnited Nations Secretariat, see http://www.un.org/depts/unsd/social.
[105]张宁，胡鞍钢，郑京海.应用DEA方法评测中国各地区健康生产效率[J].经济研究，2006，(07):92-105.
[106]Retzlaff-Roberts, D., C. F. Chang, and R. M. Rubin. Technical Efficiency in the Use of HealthCare Resources: A Comparison of OECD Countries[J]. Health Policy,2004,69,55-72.
[107]Grosskopf, S. and V. Valdmanis. Measuring Performance: A Non-parametric Approach [J].Journal of Health Economics,1987,(6):89-107.
[108]Berger, Mark C. and Jodi Messer. Public Financing of Health Expenditures, Insurance, andHealth Outcomes[J]. Applied Economics,2002,34,2105-2113.
[109]Ferrier, G.D. and V. Valdmanis. Rural Hospital Performance and Its Correlates [J]. Journal ofProductivity Analysis,1996,7(1):63-80.
[110]韩华为，苗艳青.地方政府卫生支出效率核算及影响因素实证研究——以中国31个省份面板数据为依据的DEA-Tobit分析[J].财经研究，2010，(05):4-19.
[111]陈浩.卫生投入对中国健康人力资本及经济增长影响的结构分析[J].中国人口科学，2010，(02)：92-100+112.
[112]罗良清，胡美玲．中国各地区医疗卫生服务的生产效率分析[J]．统计与信息论坛，2008，（02）：47-51．
[113]李向东，李南，白俊红，谢忠秋．高技术产业研发创新效率分析[J]．中国软科学，2011，（02）：52-61．
[114]张小蒂，姚瑶.全球化中民营企业家人力资本对我国区域创新及全要素生产率的影响研究：基于东部九省市面板数据的经验分析[J].浙江大学学报(人文社会科学版),2011,41(05):94-106.
[115]周晓艳,高春亮,李钧鹏.我国长三角地区经济增长因素的实证分析[J].数量经济技术经济研究,2009(03):32-35.
[116]单豪杰.中国资本存量K的再估算1952-2006年[J].数量经济技术经济研究，2008(13):5-7.
[117]Barro R,Sala-i-Martin.Convergence[J].Journal of Political Economy,1992,(2):223-251.
[118]林毅夫、刘培林．经济发展战略对劳均资本积累和技术进步的影响--基于中国经验的实证研究[J]．中国社会科学，2003，(4):18-32．
[119]Miller S, Upadhyay M. Total factor productivity and the convergence hypothesis [J]. Journal ofMacroeconomics,2002,(7):267-286.
[120]孙立成,周德群,胡荣华,李群,.区域FEEEP系统技术效应动态分解及收敛性[J].系统工程,2009,(4)：24-30.
[121]Coelli, T., Rao, P. and Battase, E. An Introduction To Efficiency and Productivity Analysis [M],Boston: Kluwer Academic Publishers,1998.
[122]方毅,林秀梅.中国高技术产业研发的动态效率研究[J].数理统计与管理,2012,(05):761-770.
[123]F re R, Grosskopf S. Malmquist indexes and Fisher ideal indexes[J],The Economic Journal,1992,102(1):158-160.
[124]Fuentes, H., E. Grifell-Tatjé and S. Perelman: A Parametric Distance Function Approach forMalmquist Index Estimation[J]. Journal of Productivity Analysis,2001,15:79-94.
[125]Orea. L. Parametric Decomposition of a Generalized Malmquist Productivity Index [J],Journal of Productivity Analysis,2002,18:5-22.
[126]吴跃明.朗东锋.环境-经济系统协调度及其指标体系[J].中国人口.资源与环境,1996,6(2):47-50.
[127]杨士弘.广州城市环境与经济协调发展预测及调空研究[J].地理科学,1994,14(2):136-143.
[128]于瑞峰,齐二石,毕星.区域可持续发展状况的评估方法研究及应用[J].系统工程理论与实践,1998,18(5):1-6.
[129]赵涛,李晅煜.能源-经济-环境(3E)系统协调度评价模型研究[J].北京理工大学学报,2008,10(2):11-15.
[130]刘思峰,党耀国,张歧山.灰色系统理论及其应用(第三版)[M].北京:科学出版社,2004.
[131]普里高津.从混沌到有序[M].上海：上海译文出版社,1987.
[132]I.普里戈金,G尼科里斯.非平衡系统的自组织[M].北京:科学出版社,1986.
[133]IUCN,UNEP,WWF,(世界自然保护联盟，联合国环境规划署，世界野生生物基金会). WorldConservation Strategy[M]. Switzerland:Gland,1980:1.
[134]王琦，陈才.产业集群与区域经济空间耦合度分析[J].地理科学，2008，28（2）：146-149.
[135]王喜，秦耀辰.区域系统演化的可持续发展观[M].开封：河南大学出版社，1999.
[136]孙立成,周德群,胡荣华.区域FEEEP系统演化路径特征及实证分析[J].统计与决策,2011,(9)：57-60.
[137]王建华,顾元勋,孙林岩.人地关系的系统动力学模型研究[J].系统工程理论与实践,2003,23(1):128-131.
[138]姜启源,谢金星,叶俊.数学模型(第三版)[M].北京:高等教育出版社,2003.
[139]王顺庆,王万雄,徐海根.数学生态学稳定性理论与方法[M].北京:科学出版社,2004.
[140]蒋中一.数理经济学的基本方法[M].北京:商务印书馆,2004.
[141]孙立成,周德群,胡荣华,.区域FEEEP系统协调共生局部稳态性分析[J].统计与决策,2011,(16)：38-41.
[142]袁纯清.共生理论—兼论小型经济[M].北京:经济科学出版社,1998.
[143]Howitt, P., Health, Human Capital, and Economic Growth[A]. In Health and Economic Growth:Findings and Policy Implications[C]. edited by Guillem Lopez-Casasnovas, Berta Rive-ra and LuisCurrais. Cambridge, MA: MIT Press,2005:19-40.
[144]Cochrane, A.L., A.S. St. Leger, and F. Moore. Health Service ‘Input’ and Mortality ‘Output’ inDeveloped Countries[J]. Journal of Epidemiology and Community Health,1978,(32):200—205.
[145]Gerdtam, U.-G., J. Sogaard, F. Andersson, and B. Jonsson.An Econometric Analysis of HealthCare Expenditure: A Cross-section Study of the OECD Countries[J].Journal of Health Economics.1992,(11):63-84.
[146]涂正革、肖耿:中国工业增长模式的转变———大中型企业劳动生产率的非参数生产前沿动态分析[J].管理世界，2006(15):125-127.
[147]姚洋，章奇.中国工业企业技术效率分析[J].经济研究，2001(08):41-42.
[148]沈利生，唐志.对外贸易对我国污染排放的影响———以二氧化硫排放为例[J].管理世界，2008(02):322-323.
[149]Wold H. Kotz S, Johnson N L.Encyclopedia of Statistical Sci-ences[M], NewYork: JohnWiley&Sons,1985,(6):581-591.
[150]王惠文,付凌晖.PLS路径模型在建立综合评价指数中的应用[J].系统工程理论与实践,2004,(10):80-85
[151]孙立成,梅强,周德群,.区域3E系统协调发展水平PLS-SEM测度模型及应用研究[J].运筹与管理,2012,(3)：119-128
[152]李向前,李东,黄莉,.我国区域人力资本投资主体结构与竞争力关系研究[J].河南科学,2011,(8)：987-992
[153]V·R·Fuchs. Economic Aspects of Health[M]. Chicago: Chicago Press,1982.
[154]陈安平.收入高会更健康吗——来自中国的新证据[J].财贸经济，2011，(01)：26-33.
[155]刘海英，张纯洪.中国城乡卫生经济系统投入产出动态效率的对比研究[J].农业经济问题,2010,(02)：44-51.
[156]易纲，樊纲，李岩.关于中国经济增长与全要素生产率的理论思考[J].经济研究,2003,（06）：56-60.
[157]白俊红,江可申,李婧.中国地区研发创新的相对效率与全要素生产率增长分解[J].数量经济技术经济研究,2009(03):13-15.
[158]谭宏业，柯学良.城乡收入差距对经济效率影响分析[J].经济学，2011(410):1122-1123.
[159]李向前,李东,黄莉,.基于PLS的区域人力资本投资途径与区域经济综合竞争力关系研究[J].安徽工业大学学报(自然科学版),2011,(4)：404-409.
[2]Hanley, N, McGregor, P G, Swales, J K and K Turner. The Impact of a Stumulus EnergyEfficiency and the environment: A Regional Computable General Equilibrium Analysis[J].Renewable Energy,2006,31(2):161-171.
[3]GROSSMAN, Gene M.; KRUEGER, Alan B. The inverted-U: what does it mean?[J]. Environment and Development Economics,1996,1(01):119-122.
[4]Schultz, T. W. Investment in Human Capital[J]. American Economic Review,1961,51(1):1-17.
[5]Romer, Paul. Increasing Returns and Long-Run Growth [J]. Journal of Political Economy,1986,94(5):1002-1037.
[6]Lucas, Robert. On the Mechanics of Economic Development[J]. Journal of Monetary Economics,1988,22(1):25-36.
[7]EHRLICH, Isaac; LUI, Francis. Intergenerational trade, longevity, and economic growth[J]. Journal of Political Economy,1991,99(5):1029-1059.
[8]Fogel, Robert W. Economic Growth, Population Theory, and Physiology: The Bearing ofLong-term Processes on the Making of Economic Policy[J]. American Economic Review,1994,84(3):369-395.
[9]Arrow, Kenneth J. Uncertainty and the Welfare Economics of Medical Care[J]. AmericanEconomic Review,1963,53(5):941-973.
[10]Grossman,G. M.'and Krueger, A. B. Economic Growth and the Environment[J]. Quarterly Journalof Economics,1995,110:353-377.
[11]Strauss, J. and D.Thomas. Health, Nutrition and Economic Development[J]. Journal of EconomicLiterature,,1998,36:766-817.
[12]Arora, S,. Health, Human Productivity, and Long-term Economic Growth[J]. The Econo-micHistory,2001,61(3):699-749.
[13]Zon, A. H. and J.Muysken, Health and Endogenous Growth[J]. Journal of Health Economics,2001,20(2):169-185.
[14]Tamura, R. Human Capital and Economic Development[J]. Journal of Development Economics,2006,79(1):26-72.
[15]Hemmi, N., K. Tabata and K. Futagami. The Long-term Care Problem, Precautionary Saving,and Economic Growth[J]. Journal of Macroeconomics,2007,29(1):60-74.
[16]Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P.,&Chen, J.Socioeconomic factors, health behaviors, and mortality [J]. The Journal of the American MedicalAssociation,1998,279(21):1703-1708.
[17]Dickenson, D. Ethics watch: The threatened trade in human ova [J].Nature ReviewsGenetics,2004,5(3):167-187.
[18]杨建芳,龚六堂,张庆华.人力资本形成及其对经济增长的影响——一个包含教育和健康投入的内生增长模型及其检验[J].管理世界,2006,(05):10-18.
[19]Grossman, M.. The Demand for Health: A Theoretical and Empirical Investigation[M]. NBER,Occasional, Columbia University Press,1972.
[20]王弟海，龚六堂，李宏毅．健康人力资本、健康投资和经济增长——以中国跨省数据为例[J]．管理世界,2008,(03)：27-39．
[21]Weil, David N..Accounting for the Effect of Health on Economic Grow the[J]. Quarterly Journalof Economics,,2007,122(3):1265-1306.
[22]Pritchett, L. Where has all the education gone?[J]. The World Bank Economic Revie-w,2001,15(3):367-391.
[23]杨玉珍.区域EEES耦合系统演化机理与协同发展研究[D].天津:天津大学,2012.
[24]Dennis L. Meadows. The Limits to Growth[M].New York：Universe Books,1972,1-5.
[25]姚建.环境经济学[M].成都：西南财经大学出版社,2001.
[26]杨玉珍，许正中.系统间耦合衍生的复合生态型理念及其运行综述[J].科技管理研究,2009,(12)：364-366.
[27]欧阳培，欧阳强.新的研究领域：排泄资源与排泄资源经济[J].长沙大学学报,2004,18（1）：23-26.
[28]诸大建，朱远.生态效率与循环经济[J].复旦大学学报（社会科学版），2005，（2）：60-66.
[29]许涤新.生态经济学[M].哈尔滨：黑龙江人民出版社，2004，21-24.
[30]余春祥.对绿色经济发展的若干理论探讨[J].经济问题探索，2003，（12）：92-95.
[31]赵斌.关于绿色经济理论与实践的思考[J].社会科学研究，2006，（2）：5-6.
[32]鲍健强，苗阳，陈锋.低碳经济：人类经济发展方式的新变革[J].中国工业经济，2008，（4）：153-160.
[33]任继周，万长贵.系统耦合与荒漠——绿洲草地农业系统[J].草业学报.1994，3(3):21-27.
[34]邵权熙.当代中国林业生态经济社会耦合系统及耦合模式研究[D].北京:北京林业大学,2008.
[35]杨红.生态农业与生态旅游业耦合机制研究[D].重庆:重庆大学,2009.
[36]孙立成.区域食物—能源—经济—环境—人口（FEEEP）系统协调发展研究[D].南京:南京航空航天大学,2012.
[37]张文龙.城市化与产业生态化耦合发展研究[D].广州:暨南大学,2009.
[38]黄晓军.城市物质与社会空间耦合机理与调控研究[D].长春:东北师范大学,2012.
[39]任露泉，梁云虹.生物耦合及其分类学与特征规律研究[J].中国科学：技术科学，2010，40（1）：5-12.
[40]Friedel Juergen K. Ehrmann otto，Pfeffer Michael，etc, Soil microbial biomass and activity：theeffete of site characteristics In humid temperate forest ecosystems[J]. Journal of Plant Nutrition andsoil Science，2006，169（2）：175-184.
[41]任继周，朱兴运.中国河西走廊草地农业的基本格局和它的系统相悖：草原退化的机理初探[J].草业学报，1995，4（l）：69-79.
[42]吕晓.塔里木河流域农用地生态经济系统耦合发展研究田[D].乌鲁木齐:新疆农业大学,2009.
[43]普里戈金，G.尼科里斯.非平衡系统的自组织[M].北京:科学出版社,1986.
[44]Murat M. Experiences from Early Stages of a National Industrial Symbiosis Programme in theUK: Determinants and Coordination Challenges[J]. Journal of Cleaner Production,2004,12(11):967-983.
[45]袁纯清.共生理论—兼论小型经济[M].北京:经济科学出版社,1998.
[46]黄敏.基于共生理论的利益相关者管理研究[D].昆明:云南大学,2012.
[47]冯·贝塔朗菲.一般系统论:基础、发展和应用[M].林康义,魏宏森等译.北京:清华大学出版社,1987.
[48]穆光宗.人口增长效应理论：一个新的假说[J].经济研究,1997,(6):49-56.
[49]王红瑞，蔡越虹等.人口、能源消费、经济发展对环境影响的定量研究[J].北京师范大学学报(自然科学版),1999,25(1):123-126.
[50]曾珍香,段丹华,张培等.基于复杂系统理论的区域协调发展机制研究—以京津冀区域为例[J].改革与战略,2008,24(1):89-91.
[51]刘晓艳.新农村科技、经济、社会、环境耦合仿生及协同管理研究[D].长春:吉林大学,2010.
[52]庞艳桃，赵光辉.论企业与环境的互塑共生性[J].当代经济，2004（12）：33-37.
[53]黄思铭.可持续发展的评判[M].北京：高等教育出版社，2001.
[54]托姆，赵松年等译.结构稳定性与形态发生学[M].成都：四川教育出版社，1992.
[55]艾根，舒斯特尔，曾国屏，沈小峰译.超循环论[M].上海：上海译文出版社，1990.
[56]吴彤.自组织方法论研究[M].北京：清华大学出版社，2001.
[57]Craig Loehle. Control theory and the management of ecosystems[J].Journal of Applied Ecology，2006，43（5）：957-966.
[58]王雨田编.控制论、信息论、系统科学与哲学[M].北京：中国人民大学出版社，1988.
[59]马世骏，王如松.复合生态系统与持续发展复杂性研究[M].北京：科学出版社，1993.
[60]王维国，宋阳，郭多祚.一种求解混合多目标规划问题的功效函数法[J].运筹与管理，2007（4）：24-27.
[61]潘开灵，白列湖.管理协同机制研究[J].系统科学学报，2006（l）：45.
[62]叶民强.双赢策略与制度激励：区域可持续发展评价与博弈分析[M].北京：社会科学文献出版社，2002，56-62.
[63]翟欣翔，赵国杰，蔡振宇等.融入可持续发展观的技术评价指标体系构建[J].科学学与科学技术管理，2004,(8):92-95.
[64]John E Delery.Issues of fit in strategic human resource management： Implications for research[J].Human Resource Management Review，1998，3：289-309.
[65]WBCSD.Measuring Eeoeffieieney: Aguide to RePorting ComPany Performane [M]. Geneva,World Business Council for Sustalnable DeveloPment,2000.
[66]叶正波.可持续化发展预警系统理论及实践[M].北京:经济科学出版社,2002.
[67]镇常青.多目标决策中的权重调查方法[J].系统工程理论与实践,1987,(04):23-26.
[68]Jensen R E.An Alternative Scaling Method for Priorities in Hierarchical Structures[J]. Journal ofMathematical Psychology,1984,(28):317-332.
[69]Saaty T L.The Analytic Hierarchy Process[M].McGraw-Hill,New York,1980.
[70]Crawford G, Williams C.A Note on the Analysis of Subjective Judgement Matrices[J]. Journal ofMathematical Psychology,1985,(29):387-405.
[71]郭亚军.综合评价理论与方法[M].北京:科学出版社，2002.
[72]徐国祥.统计预测和决策[M].上海:上海财经大学出版社,1998.
[73]王宗军.多目标权系数赋值方法及其选择策略[J].系统工程与电子技术,1993,(06):35-41.
[74]王宗军.集成式多目标权系数赋值方法[J].系统工程理论与实践,1996,(08):12-19.
[75]王应明.应用离差最大化方法进行多指标评价与排序[J].系统工程与电子技术,1998,(7):24-26.
[76]徐泽水,孙在东.一类不确定型多指标评价问题的排序方法[J].管理科学学报，2002,(3):35-39.
[77]张尧庭,方开泰.多元统计分析[M].北京：科学出版社,1982.
[78]王道平,梁爱华,李树丞.区域PREE系统可持续发展状况的综合评价方法[J].管理工程学报,2002,16(1):8-11.
[79]魏权龄.数据包络分析[M].北京：科学出版社，2004，1-2.
[80]Zeeny M.Multiple Criteria Decision Making[M]. New York:McGraw-Hill,1982.
[81]唐克.目标的熵权模糊评价[J].系统工程理论与实践,1992,(04):68-73.
[82]张卫民,安景文,韩朝.熵值法在城市可持续发展评价问题中的应用[J].数量经济技术经济研究,2003,(6):115-118.
[83]刘家学,刘耀武.带有方案偏好信息的多指标评价法[J].系统工程与电子技术,1999,(1)：4-7.
[84]Farrell, M.J. The Measurement of Productive Efficiency[J]. Journal of the Royal StatisticSociety,1957,Ser. A120:253-281.
[85]傅晓霞，吴利学．前沿分析方法在中国经济增长核算中的适用性[J].世界经济，2007，(7):56-66．
[86]朱有为，徐康宁．中国高技术产业研发效率的实证研究[J].中国工业经济，2006，(11):38-45．
[87]Banker, R. D.; Gadh, V. M. and Gorr, W. L. A Monte Carlo Comparison of Two ProductionFrontier Estimation Methods: Corrected Ordinary Least Squares and Data Envelopment Analysis[J].European Journal of Operational Research,1993,67:332-343.
[88]Mortimer, D. Competing Methods for Efficiency Measurement: A Systematic Review of DirectDEA vs SFA/DFA Comparisons. Centre for Health Program Evaluation working paper, No.136,2002.
[89]Charnes, A., Cooper, W.W., Rhodes, E. Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(6):429-444.
[90]Banker R D,Charnes A, Cooper W.W. Some Models for Estimating Technical and ScaleInefficiencies in Data Envelopment Analysis[J]. Management Science,1984,30(9):1078-1092.
[91]魏权龄、岳明．DEA概论与C2R模型-数据包络分析[J]．系统工程理论与实践，1989，(1):2-69．
[92]Aigner, J.; Lovell, K. and Schmidt, P. Formulation and Estimation of Stochastic FrontierProduction Function Models[J]. Journal of Econometrics,1977,6:21-37.
[93]Meeusen, W. And Broeck, J. van den. Efficiency Estimation from Cobb-Douglas ProductionFunctions with Composed Error[J]. International Econom ic Review,1977,18:435-444.
[94]Battese G. E, Corra G S. Estination of a Production Frontier Model with Application to thePastoral Zone of Eastern Australia[J]. Australian Journal of Agricultural Economics,1977,(21):169-179.
[95]Battese, G. E. and Coelli,T. J. Frontier Production Functions Technical Efficiency and Panel Datawith Application to Paddy Famer in India[J]. Journal of Productivity Analysis,1992,3:153-169.
[96]Battese, E. and Coelli, T. J. A Model of Technical Inefficiency Effects in Stochastic FrontierProduction for Panel Data[J]. Empirical Econom ics,1995,20:325-332.
[97]Kumbhakar, S. and Lovell, C. Stochastic Frontier Analysis[M]. New York: Cambridge UniversityPress,2000, pp.72.
[98]王争，史晋川．转型时期中国工业生产绩效的地区差异及波动性的解释——基于随机前沿生产函数的分析[J].世界经济文汇，2007，(4):29-45．
[99]R. J. E. Clausius.关于热力学第二定律[M].北京：科学出版社,1975.
[100]N. Wiener.控制论[M].北京：科学出版社,1962.
[101]C. E. Shannon.信息论理论基础[M].上海：上海译文出版社,1987.
[102]席酉民,汪应洛，陶谦坎.评价指标的估价方法及权的探讨[J].系统工程理论与实践，1986(3)：12-16.
[103]World Health Organization,2000, World Health Report: Health Systems-ImprovingPerformance, World Health Organization.
[104]United Nations,2003, Social Indicators: Population Division and Statistics Division of theUnited Nations Secretariat, see http://www.un.org/depts/unsd/social.
[105]张宁，胡鞍钢，郑京海.应用DEA方法评测中国各地区健康生产效率[J].经济研究，2006，(07):92-105.
[106]Retzlaff-Roberts, D., C. F. Chang, and R. M. Rubin. Technical Efficiency in the Use of HealthCare Resources: A Comparison of OECD Countries[J]. Health Policy,2004,69,55-72.
[107]Grosskopf, S. and V. Valdmanis. Measuring Performance: A Non-parametric Approach [J].Journal of Health Economics,1987,(6):89-107.
[108]Berger, Mark C. and Jodi Messer. Public Financing of Health Expenditures, Insurance, andHealth Outcomes[J]. Applied Economics,2002,34,2105-2113.
[109]Ferrier, G.D. and V. Valdmanis. Rural Hospital Performance and Its Correlates [J]. Journal ofProductivity Analysis,1996,7(1):63-80.
[110]韩华为，苗艳青.地方政府卫生支出效率核算及影响因素实证研究——以中国31个省份面板数据为依据的DEA-Tobit分析[J].财经研究，2010，(05):4-19.
[111]陈浩.卫生投入对中国健康人力资本及经济增长影响的结构分析[J].中国人口科学，2010，(02)：92-100+112.
[112]罗良清，胡美玲．中国各地区医疗卫生服务的生产效率分析[J]．统计与信息论坛，2008，（02）：47-51．
[113]李向东，李南，白俊红，谢忠秋．高技术产业研发创新效率分析[J]．中国软科学，2011，（02）：52-61．
[114]张小蒂，姚瑶.全球化中民营企业家人力资本对我国区域创新及全要素生产率的影响研究：基于东部九省市面板数据的经验分析[J].浙江大学学报(人文社会科学版),2011,41(05):94-106.
[115]周晓艳,高春亮,李钧鹏.我国长三角地区经济增长因素的实证分析[J].数量经济技术经济研究,2009(03):32-35.
[116]单豪杰.中国资本存量K的再估算1952-2006年[J].数量经济技术经济研究，2008(13):5-7.
[117]Barro R,Sala-i-Martin.Convergence[J].Journal of Political Economy,1992,(2):223-251.
[118]林毅夫、刘培林．经济发展战略对劳均资本积累和技术进步的影响--基于中国经验的实证研究[J]．中国社会科学，2003，(4):18-32．
[119]Miller S, Upadhyay M. Total factor productivity and the convergence hypothesis [J]. Journal ofMacroeconomics,2002,(7):267-286.
[120]孙立成,周德群,胡荣华,李群,.区域FEEEP系统技术效应动态分解及收敛性[J].系统工程,2009,(4)：24-30.
[121]Coelli, T., Rao, P. and Battase, E. An Introduction To Efficiency and Productivity Analysis [M],Boston: Kluwer Academic Publishers,1998.
[122]方毅,林秀梅.中国高技术产业研发的动态效率研究[J].数理统计与管理,2012,(05):761-770.
[123]F re R, Grosskopf S. Malmquist indexes and Fisher ideal indexes[J],The Economic Journal,1992,102(1):158-160.
[124]Fuentes, H., E. Grifell-Tatjé and S. Perelman: A Parametric Distance Function Approach forMalmquist Index Estimation[J]. Journal of Productivity Analysis,2001,15:79-94.
[125]Orea. L. Parametric Decomposition of a Generalized Malmquist Productivity Index [J],Journal of Productivity Analysis,2002,18:5-22.
[126]吴跃明.朗东锋.环境-经济系统协调度及其指标体系[J].中国人口.资源与环境,1996,6(2):47-50.
[127]杨士弘.广州城市环境与经济协调发展预测及调空研究[J].地理科学,1994,14(2):136-143.
[128]于瑞峰,齐二石,毕星.区域可持续发展状况的评估方法研究及应用[J].系统工程理论与实践,1998,18(5):1-6.
[129]赵涛,李晅煜.能源-经济-环境(3E)系统协调度评价模型研究[J].北京理工大学学报,2008,10(2):11-15.
[130]刘思峰,党耀国,张歧山.灰色系统理论及其应用(第三版)[M].北京:科学出版社,2004.
[131]普里高津.从混沌到有序[M].上海：上海译文出版社,1987.
[132]I.普里戈金,G尼科里斯.非平衡系统的自组织[M].北京:科学出版社,1986.
[133]IUCN,UNEP,WWF,(世界自然保护联盟，联合国环境规划署，世界野生生物基金会). WorldConservation Strategy[M]. Switzerland:Gland,1980:1.
[134]王琦，陈才.产业集群与区域经济空间耦合度分析[J].地理科学，2008，28（2）：146-149.
[135]王喜，秦耀辰.区域系统演化的可持续发展观[M].开封：河南大学出版社，1999.
[136]孙立成,周德群,胡荣华.区域FEEEP系统演化路径特征及实证分析[J].统计与决策,2011,(9)：57-60.
[137]王建华,顾元勋,孙林岩.人地关系的系统动力学模型研究[J].系统工程理论与实践,2003,23(1):128-131.
[138]姜启源,谢金星,叶俊.数学模型(第三版)[M].北京:高等教育出版社,2003.
[139]王顺庆,王万雄,徐海根.数学生态学稳定性理论与方法[M].北京:科学出版社,2004.
[140]蒋中一.数理经济学的基本方法[M].北京:商务印书馆,2004.
[141]孙立成,周德群,胡荣华,.区域FEEEP系统协调共生局部稳态性分析[J].统计与决策,2011,(16)：38-41.
[142]袁纯清.共生理论—兼论小型经济[M].北京:经济科学出版社,1998.
[143]Howitt, P., Health, Human Capital, and Economic Growth[A]. In Health and Economic Growth:Findings and Policy Implications[C]. edited by Guillem Lopez-Casasnovas, Berta Rive-ra and LuisCurrais. Cambridge, MA: MIT Press,2005:19-40.
[144]Cochrane, A.L., A.S. St. Leger, and F. Moore. Health Service ‘Input’ and Mortality ‘Output’ inDeveloped Countries[J]. Journal of Epidemiology and Community Health,1978,(32):200—205.
[145]Gerdtam, U.-G., J. Sogaard, F. Andersson, and B. Jonsson.An Econometric Analysis of HealthCare Expenditure: A Cross-section Study of the OECD Countries[J].Journal of Health Economics.1992,(11):63-84.
[146]涂正革、肖耿:中国工业增长模式的转变———大中型企业劳动生产率的非参数生产前沿动态分析[J].管理世界，2006(15):125-127.
[147]姚洋，章奇.中国工业企业技术效率分析[J].经济研究，2001(08):41-42.
[148]沈利生，唐志.对外贸易对我国污染排放的影响———以二氧化硫排放为例[J].管理世界，2008(02):322-323.
[149]Wold H. Kotz S, Johnson N L.Encyclopedia of Statistical Sci-ences[M], NewYork: JohnWiley&Sons,1985,(6):581-591.
[150]王惠文,付凌晖.PLS路径模型在建立综合评价指数中的应用[J].系统工程理论与实践,2004,(10):80-85
[151]孙立成,梅强,周德群,.区域3E系统协调发展水平PLS-SEM测度模型及应用研究[J].运筹与管理,2012,(3)：119-128
[152]李向前,李东,黄莉,.我国区域人力资本投资主体结构与竞争力关系研究[J].河南科学,2011,(8)：987-992
[153]V·R·Fuchs. Economic Aspects of Health[M]. Chicago: Chicago Press,1982.
[154]陈安平.收入高会更健康吗——来自中国的新证据[J].财贸经济，2011，(01)：26-33.
[155]刘海英，张纯洪.中国城乡卫生经济系统投入产出动态效率的对比研究[J].农业经济问题,2010,(02)：44-51.
[156]易纲，樊纲，李岩.关于中国经济增长与全要素生产率的理论思考[J].经济研究,2003,（06）：56-60.
[157]白俊红,江可申,李婧.中国地区研发创新的相对效率与全要素生产率增长分解[J].数量经济技术经济研究,2009(03):13-15.
[158]谭宏业，柯学良.城乡收入差距对经济效率影响分析[J].经济学，2011(410):1122-1123.
[159]李向前,李东,黄莉,.基于PLS的区域人力资本投资途径与区域经济综合竞争力关系研究[J].安徽工业大学学报(自然科学版),2011,(4)：404-409.