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数量经济研究(2019年第10卷 第3期) VIP

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丛书名:
张屹山   社会科学文献出版社  2019-07 出版
ISBN:978-7-5201-5049-1
关键词: 数量经济学 文集

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图书简介 目录 参考文献 音频 视频
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  • 编委会
  • 主编寄语
  • 货币供应量增速对我国经济周期阶段转换的预警作用分析
    1. 引言
    2. 1 文献回顾
    3. 2 景气指数及经济周期阶段转换
    4. 3 广义货币供应量增速(M2)的时变先行特征分析
    5. 4 基于MS-TVTP模型分析货币供应量增速对经济波动的预警作用
    6. 5 结论
  • 空间溢出视角下基础设施与出口技术复杂度
    1. 引言
    2. 1 理论模型的构建
    3. 2 省域出口技术复杂度测算以及分析
    4. 3 省域出口技术复杂度影响因素的实证分析
    5. 4 结论与政策建议
  • 开放经济视角下“混合货币政策”规则在我国的适用性研究
    1. 引言
    2. 1 开放经济环境下的DSGE模型构建
    3. 2 开放经济环境下的DSGE模型的参数估计
    4. 3 开放经济环境下不同货币政策规则在我国的适用性研究
    5. 4 结论
  • 我国城镇居民收入分配评价
    1. 引言
    2. 1 收入分配的社会福利评价方法
    3. 2 全国居民收入分配状况的福利比较
    4. 3 各省份城镇居民收入分配的福利测算
    5. 4 结论
  • 由实证检验到理论猜想:证券价格与价值偏离的时变路径及其生成机理
    1. 引言
    2. 1 文献综述
    3. 2 证券价格与价值偏离的计算方法及数据
    4. 3 证券价格与价值偏离的时变路径
    5. 4 证券价格与价值偏离时变路径的生成机理
    6. 5 结论
  • 我国第三产业全要素生产率区域差异及影响因素研究
    1. 引言
    2. 1 文献综述和方法介绍
    3. 2 我国第三产业全要素生产率分解
    4. 3 第三产业全要素生产率影响因素的实证研究
    5. 4 结论
  • 能源效率对环境表现影响的区域差异
    1. 引言
    2. 1 研究设计
    3. 2 能源效率对环境表现影响的实证分析
    4. 3 结论及政策启示
  • 基于非参数面板计量模型的我国消费者消费行为特点研究
    1. 引言
    2. 1 非参数计量模型
    3. 2 实证分析
    4. 3 结论与建议
  • 绿色能源效率视角下“一带一路”沿线国家类型识别
    1. 引言
    2. 1 文献综述
    3. 2 理论分析与模型说明
    4. 3 数据说明与实证分析
    5. 4 收敛性分析
    6. 5 结论与政策建议
    7. 附录
  • 商业模式设计与企业绩效:制度环境的调节作用
    1. 引言
    2. 1 理论框架与研究假设
    3. 2 研究设计
    4. 3 实证分析与假设检验
    5. 4 结论与启示
  • 教育部人文社会科学重点研究基地吉林大学数量经济研究中心简介
  • 撰稿者须知
[1]高铁梅,陈磊,王金明等.2015.经济周期波动分析与预测方法(第2版)[M].清华大学出版社. [2]黄宪,王旭东.2015.我国央行货币政策实施力度和节奏的规律及效果研究——基于历史演进和时变分析的视角[J].金融研究,(11):15-32. [3]林建浩,王美今.2013.中国宏观经济波动的“大稳健”——时点识别与原因分析[J].经济学(季刊),12(2):577-604. [4]林秀梅,李青召,历姿彤.2018.基于马尔可夫机制转换动态因子模型对我国经济周期拐点的识别[J].数量经济研究,9(1):25-37. [5]刘金全,刘达禹,张都.2015.我国经济周期波动的“软着陆”态势与持续期估计[J].经济学家,(6):48-57. [6]刘金全,刘志刚.2005.我国经济周期波动中实际产出波动性的动态模式与成因分析[J].经济研究,(3):26-35. [7]冉光和,曹跃群,钟德华.2008.要素投入、货币供应与中国经济波动[J].管理世界,(2):170-171. [8]盛天翔,范从来.2012.信贷调控:数量型工具还是价格型工具[J].国际金融研究,(5):26-33. [9]唐晓彬.2010.Markov机制转换的状态空间模型及其在我国经济周期中的应用研究[J].统计研究,27(2):94-99. [10]王建军.2007.Markov机制转换模型研究——在中国宏观经济周期分析中的应用[J].数量经济技术经济研究,(3):39-48. [11]王金明.2012.我国经济周期波动对通货膨胀的动态影响——基于合成指数的实证研究[J].金融研究,(3):57-67. [12]张成思.2010.随机冲击、货币政策与经济周期波动[J].中国人民大学学报,24(6):31-39. [13]张同斌,高铁梅.2015.中国经济周期波动的阶段特征及驱动机制研究——基于时变概率马尔科夫区制转移(MS-TVTP)模型的实证分析[J].财贸经济,(1):27-39. [14]张小宇,刘永富,王浩宇.2018.量价转换背景货币政策效应时变性研究[J].数量经济研究,9(2):34-46. [15]朱钧钧,谢识予,朱弘鑫,卢书泉.2010.基于状态转换的货币危机预警模型——时变概率马尔可夫转换模型的Griddy-Gibbs取样法和应用[J].数量经济技术经济研究,27(9):118-132+161. [16]Burns,A.F.,W.C.Mitchell. 1946. The Basic Measures of Cyclical Behavior[J]. Measuring Business Cycles:115-202. [17]Cannon,E. 2012. Advanced Macroeconomics[M]. Advanced Macroeconomics. [18]Castillo,P.,A.Humala,V.Tuesta. 2012. Regime Shifts and Inflation Uncertainty in Peru[J]. Journal of Applied Economics,15(1):71-87. [19]Chauvet,M.,J.D.Hamilton. 2005. Dating Business Cycle Turning Points[J]. NBER Working Papers,(5):77-87. [20]Chauvet,M.,J.Piger. 2008. A Comparison of the Real-Time Performance of Business Cycle Dating Methods[J]. Journal of Business & Economic Statistics,26(1):42-49. [21]Cover,J.P. 1992. Asymmetric Effects of Positive and Negative Money-Supply Shocks[J]. Quarterly Journal of Economics:1261-1282. [22]Durland,J.M.,T.H.Mccurdy. 1994.Duration-Dependent Transitions in a Markov Model of U S GNP Growth[J]. Journal of Business & Economic Statistics,12(3):279-288. [23]Filardo,A.J. 1994. Business-Cycle Phases and Their Transitional Dynamics[J]. Journal of Business & Economic Statistics,12(3):299-308. [24]Friedman,M.,A.J.Schwartz. 1963. Money and Business Cycles[J]. The Review of Economics and Statistics,45(1):32-64. [25]Hamilton,J.D. 1989. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle[J]. Econometrica,57(2):357-384. [26]Hamilton,J.D. 2011. Calling Recessions in Real Time[J]. International Journal of Forecasting,27(4):1006-1026. [27]Harding,D.,A.Pagan. 2002. Dissecting the Cycle:A Methodological Investigation[J]. Journal of Monetary Economics,49(2):365-381. [28]Kim,C.J.,C.R.Nelson. 1998. Business Cycle Turning Points,a New Coincident Index,and Tests of Duration Dependence Based on a Dynamic Factor Model With Regime Switching[J]. The Review of Economics and Statistics,80(2):188-201. [29]Krolzig,H.M. 2001. Business Cycle Measurement in the Presence of Structural Change:International Evidence[J]. International Journal of Forecasting,17(3):349-368. [30]Layton,A.P.,D.R.Smith. 2007. Business Cycle Dynamics with Duration Dependence and Leading Indicators[J]. Journal of Macroeconomics,29(4):855-875. [31]Layton,A.P. 1998. A Further Test of the Influence of Leading Indicators on the Probability of US Business Cycle Phase Shifts[J]. International Journal of Forecasting,14(1):63-70. [32]Sichel,D.E. 1994. Inventories and the Three Phases of the Business Cycle[J]. Journal of Business & Economic Statistics,12(3):269-277. [33]Simpson,P.W.,D.R.Osborn,M.Sensier. 2001. Modelling Business Cycle Movements in the UK Economy[J]. Economica,68(270):243-267. [34]Stock,J.H.,M.W.Watson. 1989. New Indexes of Coincident and Leading Economic Indicators[J]. Social Science Electronic Publishing,4(4):44-56. [35]陈维涛,王永进,毛劲松.2014.出口技术复杂度、劳动力市场分割与中国的人力资本投资[J].管理世界,2:6-20. [36]程大中,魏如青,郑乐凯.2017.中国服务贸易出口复杂度的动态变化及国际比较——基于贸易增加值的视角[J].国际贸易问题,(5):103-113. [37]戴翔.2016.服务贸易自由化是否影响中国制成品出口复杂度[J].财贸研究,(3):1-9. [38]杜传忠,张丽.2013.中国工业制成品出口的国内技术复杂度测算及其动态变迁——基于国际垂直专业化分工的视角[J].中国工业经济,(12):52-64. [39]方军雄.2006.市场化进程与资本配置效率的改善[J].经济研究,(5):50-61. [40]郭晶.2010.经济增长与高技术产业出口技术含量关系的实证研究[J].财经科学,9:44-55. [41]胡援成,肖德勇.2007.经济发展门槛与自然资源诅咒——基于我国省际层面的面板数据实证研究[J].管理世界,(4):15-23. [42]李长青,吕小锋,吴钢.2015.研发投入、融资约束与出口绿色技术含量[J].科研管理,36(8):28-35. [43]李金城,周咪咪.2017.互联网能否提升一国制造业出口复杂度[J].国际经贸探索,(4):24-38. [44]刘秉镰,刘玉海.2011.交通基础设施建设与中国制造业企业库存成本降低[J].中国工业经济,(5):69-79. [45]刘洪铎,陈和.2016.全球供应链分工地位如何影响一国服务贸易部门的出口技术复杂度[J].国际贸易问题,(9):27-37. [46]刘生龙,胡鞍钢.2010.基础设施的外部性在中国的检验:1988—2007[J].经济研究,(3):4-15. [47]刘维林,李兰冰,刘玉海.2014.全球价值链嵌入对中国出口技术复杂度的影响[J].中国工业经济,(6):83-95. [48]龙小宁,朱艳丽,蔡伟贤等.2014.基于空间计量模型的中国县级政府间税收竞争的实证分析[J].经济研究,(8):41-53. [49]龙玉,赵海龙,张新德.2017.时空压缩下的风险投资——高铁通车与风险投资区域变化[J].经济研究,52(4):195-208. [50]孟祺.2013.中国出口产品国内技术含量的影响因素研究[J].科研管理,34(1):63-69. [51]沈坤荣,耿强.2001.外国直接投资、技术外溢与内生经济增长——中国数据的计量检验与实证分析[J].中国社会科学,(5):82-93. [52]孙永平,叶初升.2012.自然资源丰裕与产业结构扭曲:影响机制与多维测度[J].南京社会科学,(6):1-8. [53]王金营,郑书朋.2010.人力资本在经济增长中作用的东部与西部比较[J].人口与经济,(4):24-30. [54]王守坤.2013.空间计量模型中权重矩阵的类型与选择[J].经济数学,30(3):57-63. [55]王婷.2013.中国城镇化对经济增长的影响及其时空分化[J].人口研究,37(5):53-67. [56]王小鲁.2000.中国经济增长的可持续性与制度变革[J].经济研究,(7):3-15. [57]王永进,盛丹,施炳展等.2010.基础设施如何提升了出口技术复杂度?[J].经济研究,(7):103-115. [58]王永齐.2006.贸易结构、技术密度与经济增长:一个分析框架及基于中国数据的检验[J].经济学(季刊),5(3):1007-1022. [59]谢康,陈禹,乌家培.1999.企业信息化的竞争优势[J].经济研究,(9):64-71. [60]许培源.2010.贸易品的技术密度、技术吸收能力与技术溢出效应[J].国际贸易问题,(3):92-98. [61]杨晶晶,于意,王华.2013.出口技术结构测度及其影响因素——基于省际面板数据的研究[J].财贸研究,24(4):75-82. [62]杨森平,唐芬芬,吴栩.2015.我国城乡收入差距与城镇化率的倒U关系研究[J].管理评论,27(11):3-10. [63]姚洋,张晔.2008.中国出口品国内技术含量升级的动态研究——来自全国及江苏省、广东省的证据[J].中国社会科学,2:67-82. [64]岳云嵩,李兵,李柔.2016.互联网会提高企业进口技术复杂度吗——基于倍差匹配的经验研究[J].国际贸易问题,(12):131-141. [65]张翠菊,张宗益.2015.中国省域产业结构升级影响因素的空间计量分析[J].统计研究,32(10):32-37. [66]张光南,洪国志,陈广汉.2013.基础设施、空间溢出与制造业成本效应[J].经济学(季刊),13(1):285-304. [67]张军,吴桂英,张吉鹏.2004.中国省际物质资本存量估算:1952—2000[J].经济研究,(10):35-44. [68]张雨.2017.我国服务出口复杂度及影响因素:增加值视角的新认识[J].国际贸易问题,(9):83-94. [69]朱孔来,李静静,乐菲菲.2011.中国城镇化进程与经济增长关系的实证研究[J].统计研究,28(9):80-87. [70]祝树金,戢璇,傅晓岚.2010.出口品技术水平的决定性因素:来自跨国面板数据的证据[J].世界经济,(4):28-46. [71]祝树金,张鹏辉.2013.中国制造业出口国内技术含量及其影响因素[J].统计研究,30(6):58-66. [72]Arbués,P.,J.F.Banos,M.Mayor. 2015. The Spatial Productivity of Transportation Infrastructure[J]. Transportation Research Part APolicy and Practice,75:166-177. [73]Arvanitis,S.,E.N.Loukis. 2009. Information and Communication Technologies,Human Capital,Workplace Organization and Labour Productivity:A Comparative Study Based on Firm-level Data for Greece and Switzerland[J]. Information Economics and Policy,21(1):43-61. [74]Bertinelli,L.,B.Zou. 2008. Does Urbanization Foster Human Capital Accumulation?[J]. Journal of Developing Areas,41(2):171-184. [75]Hausmann,R.,J.Hwang,D.Rodrik. 2007. What You Export Matters[J]. Journal of Economic Growth,12(1):1-25. [76]Lall,S.,J.Weiss,J.Zhang. 2006. The “Sophistication” of Exports:A New Trade Measure[J]. World Development,34(2):222-237. [77]Lall,S. 2000. The Technological Structure and Performance of Developing Country Manufactured Exports,1985-98[J]. Oxford Development Studies,28(3):337-369. [78]Michaely,M. 1984. Trade,Income Levels and Dependence[M]. Amsterdam North Holland:5-27. [79]Parent,O.,J.P.LeSage. 2008. Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers[J]. Social Science Electronic Publishing,23(2):235-256. [80]Upward,R.,Z.Wang,J.Zheng. 2013. Weighing China’s Export Basket:The Domestic Content and Technology Intensity of Chinese Exports[J]. Journal of Comparative Economics,41(2):527-543. [81]Wörz,J. 2005. Skill Intensity in Foreign Trade and Economic Growth[J]. Empirica,32(1):117-144. [82]Xu,B.,J.Lu. 2009. Foreign Direct Investment,Processing Trade,and the Sophistication of China’s Exports[J]. China Economic Review:63-74. [83]陈昆亭,龚六堂.2006.粘滞价格模型以及对中国经济的数值模拟——对基本RBC模型的改进[J].数量经济技术经济研究,23(8):106-117. [84]刘达禹,刘金全,赵婷婷.2017a.经济周期与规则型货币政策的动态关联机制研究——基于中国典型经济波动阶段的经验证据[J].经济评论,(2):48-61. [85]刘达禹,刘金全,于洋.2017b.新常态下中国经济周期波动的趋势性特征及其驱动因素研究[J].江海学刊,(2):86-92. [86]刘金全,刘达禹,张都.2015.我国经济周期波动的“软着陆”态势与持续期估计[J].经济学家,(6):48-57. [87]刘尧成.2010.供求冲击与人民币汇率的波动:基于DSGE两国模型的模拟分析[J].南方经济,(9):29-39. [88]王建国.2006.泰勒规则与我国货币政策反应函数的实证研究[J]. 数量经济技术经济研究,23(1):43-49. [89]王文甫,朱保华.2010.政府支出的外部性和中国政府支出的宏观效应:动态随机一般均衡视角[J].经济科学,(2):17-28. [90]伍戈,连飞.2016.中国货币政策转型研究:基于数量与价格混合规则的探索[J].世界经济,39(3):3-25. [91]谢平,罗雄.2002.泰勒规则及其在中国货币政策中的检验[J]. 经济研究,(3):3-12. [92]奚君羊,贺云松.2010.中国货币政策的福利损失及中介目标的选择[J].财经研究,(2):89-98. [93]项卫星,李宏瑾.2012.我国中央银行数量型货币调控面临的挑战与转型方向[J].国际金融研究,(7):20-28. [94]张达平,赵振全.2016.新常态下货币政策规则适用性研究——基于DSGE模型的分析[J].经济学家,(8):72-80. [95]张杰平.2012.DSGE模型框架下我国货币政策规则的比较分析[J].上海经济研究,(3):93-102. [96]张靖佳,刘澜飚,王博.2016.金融危机、非传统货币政策与中央银行资产负债表——探究美欧两大中央银行非传统货币政策之谜[J].经济学(季刊),(1):527-548. [97]张瀛.2008.汇率制度、经济开放度与中国需求政策的有效性[J].经济研究,(3):48-59. [98]Calvo,G.A. 1983. Staggered Prices in a Utility-Maximizing Framework[J]. Journal of Monetary Economics,12(3):383-398. [99]Christiano,L.,C.L.Ilut,R.Motto,et al. 2010. Monetary Policy and Stock Market Booms[R]. National Bureau of Economic Research. [100]Clarida,R.,J.Galí,M.Gertler. 2000. Monetary Policy Rules and Macro-economic Stability:Evidence and Some Theory[J]. The Quarterly Journal of Economics,115(1):147-180. [101]Friedman,M. 1959. A Program for Monetary Stability[M]. New York:Fordham University Press. [102]Gali,J.,T.Monacelli. 2005. Monetary Policy and Exchange Rate Volatility in a Small Open Economy[J]. The Review of Economic Studies,72(3):707-734. [103]Galí,J. 2009. Monetary Policy,Inflation,and the Business CycleAn Introduction to the New Keynesian Framework[M]. Princeton University Press. [104]Liu,L.G.,W.L.Zhang. 2010. A New Keynesian Model for Analysing Monetary Policy in Mainland China[J]. Journal of Asian Economics,21(6):540-551. [105]McCallum,B.T. 1988. Robustness Properties of a Rule for Monetary Policy[J]. Carnegie-Rochester Conference Series on Public Policy,29(1):173-203. [106]Mehrotra,A.,J.R.Sánchez-Fung. 2011. Assessing McCallum and Taylor Rules in a Cross-Section of Emerging Market Economies[J]. Journal of International Financial Markets,Institutions and Money,21(2):207-228. [107]Taylor,J.B. 1993. Discretion Versus Policy Rules in Practice[J]. Carnegie-Rochester Conference Series on Public Policy,39:195-214. [108]江克忠,陈友华.2018.中国家庭收入流动性测度和影响因素分解——基于CFPS数据的实证研究[J].数量经济研究,(1):125-140. [109]王亭喜,苏旦.2012.我国区域收入差距与经济增长关系的实证研究——基于东、中、西部面板数据的协整分析[J].经济问题,(3):125-128. [110]王祖祥.2001.收入不平等程度的度量方法研究[J].经济评论,(5):71-74. [111]赵志君.2011.收入分配与社会福利函数[J].数量经济技术经济研究,(9):61-74. [112]Ahluwalia,M.S.,N.G.Carter,H.B.Chenery. 1979. Growth and Poverty in Developing Countries[J]. Journal of Development Economics,6(3):299-341. [113]Atkinson,A.B. 1970. On the Measurement of Inequality[J]. Journal of Economic Theory,2(3):244-263. [114]Bishop,J.A.,J.P.Formby,W.J.Smith. 1993. International Comparisons of Welfare and Poverty:Dominance Orderings for Ten Countries[J]. Canadian Journal of Economics,26(3):707-726. [115]Bishop,J.A.,J.P.Formby,P.D.Thistle. 1992. Explaining Interstate Variation in Income Inequality[J]. The Review of Economics & Statistics,74(3):553-557. [116]Bishop,J.A.,Y.Amiel. 2004. Perceptions of Inequality and Risk[J]. Research on Economic Inequality,12:97-133. [117]Chatterjee,S.,N.Podder,P.Mukhopadhaya. 2003. Equity,Efficiency and Social Welfare:An Application of Generalised Lorenz Dominance to New Zealand Incomes Data 1984-1998[J]. InequalityWelfare and PovertyTheory and Measurement:265-288. [118]Dardanoni,V.,P.Lambert. 1988. Welfare Rankings of Income Distributions:A Role for the Variance and Some Insights for Tax Reform[J]. Social Choice & Welfare,5(1):1-17. [119]Davies,J.,M.Hoy. 1995. Making Inequality Comparisons When Lorenz Curves Intersect[J]. American Economic Review,85(4):980-986. [120]Dutta,B.,J.Esteban. 1992. Social Welfare and Equality[J]. Social Choice and Welfare,9(4):267-276. [121]Giugni,C. 1912. Variabilità e Mutabilità:Contributo Allo Studio Delle Distribuzioni e Delle Relazioni Statistiche[M]. Cuppini. [122]Kakwani,N. 1984. Welfare Ranking of Income Distribution[J]. Advances in Econometrics:3. [123]Lorenz,M.O. 1905. Methods of Measuring the Concentration of Wealth[J]. Publications of the American Statistical Association,9(70):209-219. [124]Saposnik,R. 1981. Rank-Dominance in Income Distributions[J]. Public Choice,36(1):147-151. [125]Shorrocks,A.F. 1983. Ranking Income Distributions[J]. Economica,50(197):3-17. [126]陈雨露,马勇,阮卓阳.2016.金融周期和金融波动如何影响经济增长与金融稳定?[J].金融研究,2:1-22. [127]陈雨露,马勇.2012.泡沫、实体经济与金融危机:一个周期分析框架[J].金融监管研究,(1):1-19. [128]邓创,徐曼.2015.中美金融周期的协动性及其传导途径分析[J].世界经济研究,(11):12-20. [129]丁度.2011.中国资本市场IPO泡沫及影响因素[D].南京大学. [130]丁志国,金博,徐德财.2016.证券市场的信息效率:由基本特征到理论猜想[J].学习与探索,(6):92-99. [131]丁志国,徐德财,陈浪南.2014.利率期限结构的动态机制:由实证检验到理论猜想[J].管理世界,(5):36-51. [132]范小云,袁梦怡,肖立晟.2017.理解中国的金融周期:理论、测算与分析[J].国际金融研究,(1):28-38. [133]李井林,易俊伶,刘淑莲.2017.并购支付方式选择:动态权衡理论抑或市场择时理论[J].金融评论,9(2):53-68. [134]李君平,徐龙炳.2015.资本市场错误定价、融资约束与公司融资方式选择[J].金融研究,(12):113-129. [135]马勇,张靖岚,陈雨露.2017.金融周期与货币政策[J].金融研究,(3):33-53. [136]施光耀,刘国芳,梁彦军.2008.中国上市公司市值管理评价研究[J].管理学报,5(1):78-87. [137]王培辉,康书生.2017.中国金融压力周期特征及实时监测——基于混频 Markov 动态因素模型的研究[J].经济学家,(10):77-85. [138]王妍.2017.中国金融周期的动态特征分析[J].数量经济研究,(1):29-42. [139]徐德财.2015.中国证券市场信息效率研究[D].吉林大学. [140]徐寿福,戴游,张孝瑞.2016.研发支出资本化与股票错误定价[J].证券市场导报,(12):58-66. [141]易纲,王召.2002.货币政策与金融资产价格[J].经济研究,3(1):121. [142]于军.2017.资本市场错误定价与公司财务政策[D].对外经济贸易大学. [143]张红伟,杨琨,向玉冰.2017.宏观经济周期、企业生产与股票资产定价——基于沪市上市公司的经验研究[J].国际金融研究,(5):76-85. [144]张济建,苗晴.2010.中国上市公司市值管理研究[J].会计研究,4:82-88. [145]张荣武,沈庆元,聂慧丽.2011.经济周期、投资者心理偏差与资产定价[J].会计研究,(7):45-51. [146]Adrian,T.,H.S.Shin. 2010. Financial Intermediaries and Monetary Economics[M]. Handbook of Monetary Economics. Elsevier,3:601-650. [147]Andrade,S.C.,J.Bian,T.R.Burch. 2013. Analyst Coverage,Information,and Bubbles[J]. Journal of Financial and Quantitative Analysis,48(5):1573-1605. [148]Baker,M.,J.Wurgler. 2006. Investor Sentiment and the Cross-Section of Stock Returns[J]. The Journal of Finance,61(4):1645-1680. [149]Barber,B.M.,T.Odean. 2007. All That Glitters:The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors[J]. The Review of Financial Studies,21(2):785-818. [150]Barberis,N.,R.Thaler. 2003. A Survey of Behavioral Finance[J]. Handbook of the Economics of Finance,1:1053-1128. [151]Black,F. 1986. Noise[J]. The Journal of Finance,41(3):528-543. [152]Boldrin,M.,L.J.Christiano,J.D.M.Fisher. 2001. Habit Persistence,Asset Returns,and the Business Cycle[J]. American Economic Review,91(1):149-166. [153]Borio,C. 2014. The Financial Cycle and Macroeconomics:What Have We Learnt?[J]. Journal of Banking & Finance,45:182-198. [154]Chen,C.W.,C.Pantzalis,J.C.Park. 2013. Press Coverage and Stock Price Deviation from Fundamental Value[J]. Journal of Financial Research,36(2):175-214. [155]Chung,S.L.,C.H.Hung,C.Y.Yeh. 2012. When Does Investor Sentiment Predict Stock Returns?[J]. Journal of Empirical Finance,19(2):217-240. [156]De Bondt,W.F.M.,R.Thaler. 1985. Does the Stock Market Overreact?[J]. The Journal of Finance,40(3):793-805. [157]Della Vigna,S.,J.M.Pollet. 2009. Investor Inattention and Friday Earnings Announcements[J]. The Journal of Finance,64(2):709-749. [158]Ding,R.,W.Hou,J.M.Kuo. 2013. Fund Ownership and Stock Price Informativeness of Chinese Listed Firms[J]. Journal of Multinational Financial Management,23(3):166-185. [159]Dong,M.,D.Hirshleifer,S.H.Teoh. 2012. Overvalued Equity and Financing Decisions[J]. The Review of Financial Studies,25(12):3645-3683. [160]Fama,E.F. 1970. Efficient Capital Markets:A Review of Theory and Empirical Work[J]. The Journal of Finance,25(2):383-417. [161]Gelb,D.S.,P.Zarowin. 2002. Corporate Disclosure Policy and the Informativeness of Stock Prices[J]. Review of Accounting Studies,7(1):33-52. [162]Hirshleifer,D.,D.Jiang. 2010. A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns[J]. The Review of Financial Studies,23(9):3401-3436. [163]Jin,L.,S.C.Myers. 2006. R2 Around the World:New Theory and New Tests[J]. Journal of Financial Economics,79(2):257-292. [164]Ke,B.,S.Huddart,K.Petroni. 2003. What Insiders Know about Future Earnings and How They Use It:Evidence from Insider Trades[J]. Journal of Accounting and Economics,35(3):315-346. [165]Kim,J.S.,D.Ryu,S.W.Seo. 2014. Investor Sentiment and Return Predictability of Disagreement[J]. Journal of Banking & Finance,42:166-178. [166]Kim,S.W.,J.Krausz,K.Nam. 2013. Revisiting Asset Pricing under Habit Formation in an Overlapping-Generations Economy[J]. Journal of Banking & Finance,37(1):132-138. [167]Lee,D.W.,M.H.Liu. 2011. Does More Information in Stock Price Lead to Greater or Smaller Idiosyncratic Return Volatility?[J]. Journal of Banking & Finance,35(6):1563-1580. [168]Lehavy,R.,F.Li,K.Merkley. 2011. The Effect of Annual Report Readability on Analyst Following and the Properties of Their Earnings Forecasts[J]. The Accounting Review,86(3):1087-1115. [169]Lim,M.,J.How,P.Verhoeven. 2014. Corporate Ownership,Corporate Governance Reform and Timeliness of Earnings:Malaysian Evidence[J]. Journal of Contemporary Accounting & Economics,10(1):32-45. [170]Lo,A.W. 2005. Reconciling Efficient Markets with Behavioral Finance:The Adaptive Markets Hypothesis[R]. Working Paper of SSRN. [171]Mazouz,K.,X.Li. 2007. The Overreaction Hypothesis in the UK Market:Empirical Analysis[J]. Applied Financial Economics,17(13):1101-1111. [172]Piotroski,J.D.,D.T.Roulstone. 2004. The Influence of Analysts,Institutional Investors,and Insiders on the Incorporation of Market,Industry,and Firm-Specific Information into Stock Prices[J]. The Accounting Review,79(4):1119-1151. [173]Seyhun,H.N. 1986. Insiders’ Profits,Costs of Trading,and Market Efficiency[J]. Journal of Financial Economics,16(2):189-212. [174]Shiller,R.J.,S.Fischer,B.M.Friedman. 1984. Stock Prices and Social Dynamics[J]. Brookings Papers on Economic Activity,1984(2):457-510. [175]Tucker,J.,C.Guermat,S.Prasert. 2013. Short-Run Reaction to News Announcements:UK Evidence[J]. Studia Universitatis Babes-Bolyai,58(2):41. [176]Warr,R.S.,W.B.Elliott,J.Koëter-Kant,Ö.Öztekin. 2012. Equity Mispricing and Leverage Adjustment Costs[J]. Journal of Financial and Quantitative Analysis,47(3):589-616. [177]Zhang,X. 2006. Information Uncertainty and Stock Returns[J]. The Journal of Finance,61(1):105-137. [178]樊纲,王小鲁,马光荣.2011.中国市场化进程对经济增长的贡献[J].经济研究,(9):4-16. [179]顾乃华,李江帆.2006.中国服务业技术效率区域差异的实证分析[J].经济研究,(1):46-56. [180]顾乃华.2005.1992-2002年我国服务业增长效率的实证分析[J].财贸经济,(4):85-90. [181]郭庆旺,贾俊雪.2005.中国全要素生产率的估算:1979—2004[J].经济研究,(6):51-60. [182]金成晓,朱培金.2011.财政分权、政府行为与经济增长[J].数量经济研究,2(2):12-28. [183]李国璋,周彩云,江金荣.2010.区域全要素生产率的估算及其对地区差距的贡献[J].数量经济技术经济研究,(5):49-61. [184]李善同.2002.凸现新经济特点——世界服务业发展趋势[J].国际贸易,(3):26-30. [185]李胜文,李大胜.2006.我国全要素生产率增长的区域差异[J].数量经济技术经济研究,23(9):12-21. [186]李小平,朱钟棣.2006.国际贸易、R&D溢出和生产率增长[J].经济研究,(2):31-43. [187]李占风,赵琼.2017.资源环境约束下全要素生产率的影响因素分析——基于中国与OECD国家的数据[J].数量经济研究,8(2):66-76. [188]林秀梅,徐光瑞.2012.高技术产业研发效率增长及其区域收敛[J].数量经济研究,3(1):76-90. [189]刘舜佳.2008.国际贸易、FDI和中国全要素生产率下降——基于1952~2006年面板数据的DEA和协整检验[J].数量经济技术经济研究,(11):28-39. [190]马壮,李延喜,曾伟强.2013.外部环境因素对制造业企业的技术效率影响研究[J].数量经济研究,4(2):69-79. [191]陶长琪,齐亚伟.2012.资源环境约束下我国省际全要素生产率测度分析——基于Global Malmquist-Luenberger指数[J].数量经济研究,3(1):58-75. [192]涂正革,肖耿.2006.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,(10):27-39. [193]王林辉,袁礼.2012.要素配置效率源于要素结构吗?技术进步偏向约束下的产业经验证据[J].数量经济研究,3(2):81-96. [194]王小鲁.2000.中国经济增长的可持续性与制度变革[J].经济研究,(7):3-15. [195]王志刚,龚六堂,陈玉宇.2006.地区间生产效率与全要素生产率增长率分解(1978—2003)[J].中国社会科学,(2):55-66. [196]魏下海.2009.贸易开放、人力资本与中国全要素生产率——基于分位数回归方法的经验研究[J].数量经济技术经济研究,(7):61-72. [197]吴延兵.2008.自主研发、技术引进与生产率——基于中国地区工业的实证研究[J].经济研究,(8):51-64. [198]颜鹏飞,王兵.2004.技术效率、技术进步与生产率增长:基于DEA的实证分析[J].经济研究,(12):55-65. [199]姚耀军.2010.中国金融发展与全要素生产率——基于时间序列的经验证据[J].数量经济技术经济研究,(3):68-80. [200]张军,吴桂英,张吉鹏.2004.中国省际物质资本存量估算:1952—2000[J].经济研究,(10):35-44. [201]章祥荪,贵斌威.2008.中国全要素生产率分析:Malmquist指数法评述与应用[J].数量经济技术经济研究,25(6):111-122. [202]Acemoglu,D.,T.A.Verdier. 1998. Property Rights,Corruption and the Allocation of Talent:A General Equilibrium Approach[J]. The Economic Journal,108(450):1381-1403. [203]Aidt,T.S. 2009. Corruption,Institutions,and Economic Development[J]. Oxford Review of Economic Policy,25(2):271-291. [204]Aigner,D.J.,S.F.Chu. 1968. On Estimating the Industry Production Function[J]. American Economic Review,58(4):826-839. [205]Battese,G.E.,T.J.Coelli. 1995. A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data[J]. Empirical Economics,20(2):325-332. [206]Bhagwati,J.N. 1982. Directly Unproductive,Profit-Seeking(DUP)Activities[J]. Journal of Political Economy,90(5):988-1002. [207]Bils,M.,P.J.Klenow. 2001. The Acceleration in Variety Growth[J]. American Economic Review,91(2):274-280. [208]Caves,D.W.,L.R.Christensen,W.E.Diewert. 1982. The Economic Theory of Index Numbers and the Measurement of Input,Output,and Productivity[J]. Econometrica,50(6):1393-1414. [209]Charnes,A.,W.W.Cooper,E.Rhodes. 1978. Measuring the Efficiency of Decision Making Units[J]. European Journal of Operational Research,2(6):429-444. [210]Coelli,T.J. 1996. Measurement of Total Factor Productivity Growth and Biases in Technological Change in Western Australian Agriculture[J]. Journal of Applied Econometrics,11(1):77-91. [211]Desli,E.,S.C.Ray,S.C.Kumbhakar. 1997. A Dynamic Stochastic Frontier Production Model with Time-varying Efficiency[J]. Working Papers,10(10):623-626. [212]Färe,R.,S.Grosskopf,M.Norris. 1997. Productivity Growth,Technical Progress,and Efficiency Change in Industrialized Countries:Reply[J]. American Economic Review,87(5):1040-1044. [213]Galvanetto,U.,S.R.Bishop,P. Mauro. 1998. Corruption and the Composition of Government Expenditure[J]. Journal of Public Economics,69(2):263-279. [214]Gouyette,C.,S.Perelman. 1997. Productivity Convergence in OECD Service Industries[J]. Structural Change & Economic Dynamics,8(3):279-295. [215]Heckelman,J.C. 2000. Economic Freedom and Economic Growth:A Short-Run Causal Investigation[J]. Journal of Applied Economics,3:71-91. [216]Hornstein,A.,P.Krusell. 1996. Can Technology Improvements Cause Productivity Slowdowns?[J]. NBER Macroeconomics Annual,11(11):209-259. [217]Hu,A.G.Z.,G.H.Jefferson,J.Qian. 2005. R&D and Technology Transfer:Firm-Level Evidence from Chinese Industry[J]. The Review of Economics & Statistics,87(4):780-786. [218]Huntington,S.P. 1969. Political Order in Changing Societies[J]. American Political Science Review,63(3):448-922. [219]Krueger,A.O. 1974. The Political Economy of the Rent-Seeking Society[J]. American Economic Review,64(3):291-303. [220]Lovell,C.A.K. 2003. The Decomposition of Malmquist Productivity Indexes[J]. Journal of Productivity Analysis,20(3):437-458. [221]Lui,F.T. 1985. An Equilibrium Queuing Model of Bribery Games[J]. Journal of Political Economy,93(4):760-781. [222]Mo,P.H. 2001. Corruption and Economic Growth[J]. Journal of Comparative Economics,29(1):66-79. [223]Méon,P.G.,L.Weill. 2010. Is Corruption an Efficient Grease?[J]. World Development,38(3):244-259. [224]Pellegrini,L.,R.Gerlagh. 2004. Corruption’s Effect on Growth and Its Transmission Channels[J]. Kyklos,57(3):429-456. [225]Swaleheen,M. 2011. Economic Growth with Endogenous Corruption:An Empirical Study[J]. Public Choice,146(1-2):23-41. [226]Vanssay,X.D.,Z.A.Spindler. 1994. Freedom and Growth:Do Constitutions Matter?[J]. Public Choice,78(3-4):359-372. [227]Wu,Y. 2003. Has Productivity Contributed to China’s Growth?[J]. Pacific Economic Review,8(1):15-30. [228]Zheng,J.,A.Hu. 2005. An Empirical Analysis of Provincial Productivity in China(1979-2001)[J]. China Economic Quarterly,4(3):221-239. [229]陈金良.2013.我国海洋经济的环境评价指标体系研究[J].中南财经政法大学学报,(1):18-23. [230]陈龙,李金昌,程开明.2016.中国城市能源效率测算[J].商业经济与管理,(7):83-96. [231]崔嘉宇,张宁红,郁建桥,刘雷,钟声.2015.改进的模糊评价法在太湖水质评价中的应用[J].环境工程学报,9(11):5357-5363. [232]单豪杰.2008.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,25(10):17-31. [233]董战峰,郝春旭,刘倩倩,严小东,葛察忠.2016.基于熵权法的中国省级环境绩效指数研究[J].环境污染与防治,38(8):93-99. [234]郭四代,张华,郭杰,逯承鹏.2018.基于空间计量模型的中国环境污染评价及影响因素分析[J].生态学杂志,37(2):471-481. [235]郭亚军.2002.一种新的动态综合评价方法[J].管理科学学报,(2):49-54. [236]胡伟,龙庆华,钱茂,刘广兵.2014.基于层次分析法的企业污水治理评价指标体系权重确定[J].环境污染与防治,36(2):88-91+95. [237]江洪,韩晓晨.2018.FDI技术溢出对能源效率作用机制的空间异质性研究——基于不同吸收能力门槛的实证研究[J].数量经济研究,(1):141-156. [238]蒋金荷.2011.中国碳排放量测算及影响因素分析[J].资源科学,33(4):597-604. [239]李国璋,江金荣,周彩云.2009.转型时期的中国环境污染影响因素分析——基于全要素能源效率视角[J].山西财经大学学报,31(12):32-39. [240]李国璋,江金荣,周彩云.2010.全要素能源效率与环境污染关系研究[J].中国人口·资源与环境,20(4):50-56. [241]李翔宇,孙沛雯,王中卫,李玉璞.2015.沿海城市环境质量动态综合评价[J].环境工程,33(10):108-112. [242]林伯强,蒋竺均.2009.中国二氧化碳的环境库兹涅茨曲线预测及影响因素分析[J].管理世界,(4):27-36. [243]刘明明,王震,张宝生,魏新强.2014.环保视角下中国省际全要素能源效率分析[J].技术经济,33(3):60-67. [244]刘志雄.2015.能源消费是否引起环境污染?——基于我国1991~2011年数据的实证研究[J].生态经济,31(3):19-24. [245]马小雪,王腊春,廖玲玲.2014.温瑞塘河流域水体污染时空分异特征及污染源识别[J].环境科学,36(1):64-71. [246]孟庆春,黄伟东,戎晓霞.2016.灰霾环境下能源效率测算与节能减排潜力分析——基于多非期望产出的NH-DEA模型[J].中国管理科学,24(8):53-61. [247]彭文斌,吴伟平,邝嫦娥.2013.中国工业污染空间分布格局研究[J].统计与决策,(20):115-117. [248]申剑,史淑娟,周扬,张亚丽,姚志鹏.2014.基于改进灰色关联分析法的丹江口流域地表水环境质量评价[J].中国环境监测,30(5):41-46. [249]田时中.2017.财政分权视角下中国环境污染综合评价:1998-2015——基于省际工业污染面板数据的实证[J].华东经济管理,31(5):34-41. [250]汪克亮,杨宝臣,杨力.2010.考虑环境效应的中国省际全要素能源效率研究[J].管理科学,23(6):100-111. [251]袁晓玲,张宝山,杨万平.2009.基于环境污染的中国全要素能源效率研究[J].中国工业经济,(2):76-86. [252]曾胜,靳景玉.2013.能源消费结构视角下的中国能源效率研究[J].经济学动态,(4):81-88. [253]张宝山,袁晓玲,张小妮.2012.环境污染、能源消费与经济增长[J].科学决策,(11):20-42. [254]张兵兵,田曦,朱晶.2017.环境污染治理、市场化与能源效率:理论与实证分析[J].南京社会科学,(2):39-46. [255]张华,王玲,魏晓平.2014.能源的“波特假说”效应存在吗?[J].中国人口·资源与环境,24(11):33-41. [256]张茹,张学杨,陆洪光,刘强.2017.基于层次分析和主成分分析的城市空气质量评价——以徐州市为例[J].安全与环境工程,24(3):103-107. [257]周梦玲,张宁.2017.中国省际能源效率的再测算——基于共同边界随机前沿法[J].环境经济研究,2(3):64-78. [258]Akbostancı,E.,S.Türüt-Aşık,G.I.Tunç. 2009. The Relationship between Income and Environment in Turkey:Is There an Environmental Kuznets Curve?[J]. Energy Policy,37(3):861-867. [259]Charnes,A.,W.W.Cooper,B.Golany,et al. 1985. Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions[J]. Journal of Econometrics,30(1-2):91-107. [260]Ferrier,G.D.,C.A.K.Lovell. 1990. Measuring Cost Efficiency in Banking:Econometric and Linear Programming Evidence[J]. Journal of Econometrics,46(1-2):229-245. [261]Färe,R.,S.Grosskopf,C.A.Pasurka Jr. 2010. Toxic Releases:An Environmental Performance Index for Coal-Fired Power Plants[J]. Energy Economics,32(1):158-165. [262]Hu,J.L.,S.C.Wang. 2006. Total-Factor Energy Efficiency of Regions in China[J]. Energy Policy,34(17):3206-3217. [263]Merlevede,B.,T.Verbeke,M.De Clercq. 2006. The EKC for SO2:Does Firm Size Matter?[J]. Ecological Economics,59(4):451-461. [264]Ritter,A.,C.M.Regalado,R.Muñoz-Carpena. 2009. Temporal Common Trends of Topsoil Water Dynamics in a Humid Subtropical Forest Watershed[J]. Vadose Zone Journal,8(2):437-449. [265]Sabuj,K.M. 2010. Do Undesirable Output and Environmental Regulation Matter in Energy Efficiency Analysis?Evidence from Indian Cement Industry[J]. Energy Policy,(38):6076-6083. [266]Sadiq,R.,S.A.Haji,G.Cool,et al. 2010. Using Penalty Functions to Evaluate Aggregation Models for Environmental Indices[J]. Journal of Environmental Management,91(3):706-716. [267]Tone,K.A. 2001. Slacks-Based Measure of Efficiency in Data Envelopment Analysis[J]. European Journal of Operational Research,130(1):759-789. [268]Watanabe,M.,K.Tanaka. 2007. Efficiency Analysis of Chinese Industry:A Directional Distance Function Approach[J]. Energy Policy,35(12):6323-6331. [269]藏旭恒,裴春霞.2004.预防性储蓄、流动性约束与中国居民消费计量分析[J].经济学动态,(12):28-31. [270]陈斌开.2012.收入分配与中国居民消费——理论和基于中国的实证研究[J].南开经济研究,(1):33-49. [271]陈建宝,李坤明.2013.收入分配、人口结构与消费结构:理论与实证研究[J].上海经济研究,(4):74-87. [272]樊茂清,任若恩.2006.我国城镇居民消费结构的实证研究[J].统计研究,23(12):23-26. [273]黄赜琳,刘社建.2007.基于ELES模型的上海城镇居民消费结构动态变迁分析[J].上海经济研究,(6):52-58. [274]江林,李志兰.2013.家庭结构对家庭消费意愿的影响研究[J].消费经济,(5):31-35. [275]林文芳.2011.县域城乡居民消费结构与收入关系分析[J].统计研究,28(4):49-56. [276]龙志和,周浩明.2000.西方预防性储蓄假说评述[J].经济研究,(3):63-66. [277]龙志和.2001.我国城镇居民消费结构分析[J].经济体制改革,(2):39-43. [278]苏良军,何一峰.2006.中国存在消费的“库茨涅茨之谜”吗?——来自城乡面板数据的检验支持[J].经济科学,28(2):91-98. [279]孙凤,王玉华.2001.中国居民消费行为研究[J].统计研究,(4):24-30. [280]孙凤,易丹辉.2000.中国城镇居民收入差距对消费结构的影响分析[J].统计研究,(5):9-14. [281]王宋涛,吴超林.2012.收入分配对我国居民总消费的影响分析——基于边际消费倾向的理论与实证研究[J].经济评论,(6):44-53. [282]杨汝岱,朱诗娥.2007.公平与效率不可兼得吗?——基于居民边际消费倾向的研究[J].经济研究,(12):46-58. [283]尹世杰.2002.提高消费率拉动经济增长[J].经济学动态,(10):14-17. [284]袁志刚,宋铮.1999.城镇居民消费行为变异与我国经济增长[J].经济研究,(11):20-28. [285]赵国庆,姚青松.2016.人口年龄结构与居民消费——基于中国2005~2014年省际面板数据的实证研究[J].数量经济研究,7(1):28-42. [286]赵晓雷.2001.中国现阶段收入差距扩大的经济学分析[J].财经研究,(4):32-38+64. [287]朱国林,范建勇,严燕.2002.中国的消费不振与收入分配:理论和数据[J].经济研究,(5):72-80. [288]Carroll,C.D.,M.S.Kimball. 1996. On the Concavity of the Consumption Function[J]. Econometrica,64(4):981-992. [289]Chernozhukov,V.,I.Fernandez-Val,A.Galichon. 2010. Quantile and Probability Curves without Crossing[J]. Econometrica,78(3):1093-1125. [290]Evdokimov,K. 2017. Identification and Estimation of a Nonparametric Panel Data Model with Unobserved Heterogeneity[J]. Econometrica,64(3):1123-1175. [291]Fama,E.F. 1970. Multiperiod Consumption-Investment Decisions[J]. The American Economic Review,60(1):163-174. [292]Fan,J. 1991. On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems[J]. Annals of Statistics,19(3):1257-1272. [293]Gil-Pelaez,J. 1951. Note on the Inversion Theorem[J]. Biometrika,38(3/4):481-482. [294]Heckman,J.J.,T.E.MaCurdy. 1980. A Life Cycle Model of Female Labor Supply[J]. Review of Economic Studies,47:47-74. [295]Kotlarski,I. 1967. On Characterizing the Gamma and the Normal Distribution[J]. Pacific Journal of Mathematics,20:69-76. [296]MaCurdy,T.E. 1981. An Empirical Model of Labor Supply in a Life-Cycle Setting[J]. Journal of Political Economy,89(6):1059-1085. [297]Stefanski,L.,R.Carroll. 1990. Deconvoluting Kernel Density Estimators[J]. Statistics,21:169-184. [298]崔岩,于津平. 2017.“一带一路”国家基础设施质量与中国对外直接投资——基于面板门槛模型的研究[J].世界经济与政治论坛,(5):135-152. [299]胡守忠,陶静燕. 2002.我国航空港客流的分析与预测[J].上海经济研究,(11):59-64. [300]江洪,韩晓晨. 2018.FDI技术溢出对能源效率作用机制的空间异质性研究——基于不同吸收能力门槛的实证研究[J].数量经济研究,9(1):141-156. [301]李国璋,霍宗杰. 2010.我国全要素能源效率及其收敛性[J].中国人口·资源与环境,(1):11-16. [302]李廉水,周勇. 2006.技术进步能提高能源效率?[J].管理世界,(10):82-89. [303]李未无. 2008.对外开放与能源利用效率:基于35个工业行业的实证研究[J]. 国际贸易问题,(6):7-15. [304]李小平,王洋. 2017.“一带一路”沿线主要国家碳生产率收敛性及其影响因素分析[J].武汉大学学报(哲学社会科学版),(3):58-76. [305]齐绍洲,徐佳. 2018.贸易开放对“一带一路”沿线国家绿色全要素生产率的影响[J].中国人口·资源与环境,28(4):134-144. [306]田旭,于晓华,张晓恒.2016.中国粮食生产潜能分析:一个基于“俱乐部收敛”的视点[J].浙江大学学报(人文社会科学版),(5):112-128. [307]王兵,吴延瑞,倪鹏飞. 2010.中国区域环境效率与环境全要素生产率增长[J].经济研究,(5):95-109. [308]王姗姗,屈小娥. 2011.基于环境效应的中国制造业全要素能源效率变动研究[J].中国人口·资源与环境,(8):130-137. [309]魏楚,沈满洪. 2007.能源效率及其影响因素:基于DEA的实证分析[J]. 管理世界,(8):66-76. [310]杨中东. 2010.中国制造业能源效率的影响因素:经济周期和重化工工业化[J]. 统计研究,(10):33-39. [311]袁晓玲,张宝山,杨万平. 2009.基于环境污染的中国全要素能源效率研究[J]. 中国工业经济,(2):76-86. [312]张少华,蒋伟杰. 2016.能源效率测度方法:演变、争议与未来[J]. 数量经济技术经济研究,(7):3-24. [313]张伟,吴文元. 2011.基于环境绩效的长三角都市圈全要素能源效率研究[J]. 经济研究,(10):95-109. [314]赵楠,王辛睿,朱文娟. 2015.中国省际能源利用效率收敛性研究[J]. 统计研究,(3):29-35. [315]郑蕊,杨光磊,邓莹. 2017.绿色技术进步指数与新型城镇化水平的测算[J]. 统计与决策,(15):88-93. [316]Abramovitz,M. 1986. Catching Up,Forging Ahead,and Falling Behind[J]. The Journal of Economic History,46(2):385-406. [317]Andersen,P.,N.C.Petersen. 1993. A Procedure for Ranking Efficient Units in Data Envelopment Analysis[J]. Management Science,39(10):1261-1264. [318]Barro,J.,I.M.X.Sala. 1995. Economic Growth[M]. New York:McGraw. [319]Borozan,D. 2018. Technical and Total Factor Energy Efficiency of European Regions:A Two-stage Approach[J]. Energy,152:521-532. [320]Casu,B.,C.Girardone. 2010. Integration and Efficiency Convergence in EU Banking Markets[J]. Omega,38(5):260-267. [321]Charnes,A.,W.W.Cooper,E.Rhodes. 1978. A Data Envelopment Analysis Approach to Evaluation of the Program Follow through Experiment in US Public School Education[R]. Carnegie-Mellon Univ Pittsburgh Pa Management Sciences Research Group. [322]Fried,H.O.,C.A.K.Lovell,S.S.Schmidt. 2002. Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis[J]. Journal of Productivity Analysis,17(1-2):157-174. [323]Han,L.,B.Han,X.Shi. 2018. Energy Efficiency Convergence across Countries in the Context of China’s Belt and Road Initiative[J]. Applied Energy,213:112-122. [324]Hu,J.L.,S.C.Wang. 2006. Total-factor Energy Efficiency of Regions in China[J]. Energy Policy,34(17):3206-3217. [325]Huang,J.H.,Y.T.Yu,C.B.Ma. 2018. Energy Efficiency Convergence in China:Catch-Up,Lock-In and Regulatory Uniformity[J]. Environmental and Resource Economics,70(1):107-130. [326]Jenne,C.A.,R.K.Cattell. 1983. Structural Change and Energy Efficiency in Industry[J]. Energy Economics,5(2):114-123. [327]Le,T.H.,Y.Chang,D.Park. 2017. Energy Demand Convergence in APEC:An Empirical Analysis[J]. Energy Economics,65:32-41. [328]Levy,M.J. 1966. Modernization and the Structure of Societies:A Setting for International Affairs[M]. Princeton:Princeton University Press. [329]Lichtenberg,F.R. 1994. Testing the Convergence Hypothesis[J]. The Review of Economics and Statistics,76(3):576-579. [330]Liddle,B. 2009. Electricity Intensity Convergence in IEA/OECD Countries:Aggregate and Sectoral Analysis[J]. Energy Policy,37(4):1470-1478. [331]Miller,S.M.,M.P.Upadhyay. 2002. Total Factor Productivity and the Convergence Hypothesis[J]. Journal of Macroeconomics,24(2):267-286. [332]Pastor,J.T.,C.A.K.Lovell. 2005. A Global Malmquist Productivity Index[J]. Economics Letters,88(2):266-271. [333]Phillips,P.,D.Sul. 2007. Transition Modeling and Econometric Convergence Tests[J]. Econometrica,75(6):1771-1855. [334]Renshav,E.F. 1981. Energy Efficiency and the Slump in Labour Productivity in the USA[J]. Energy Economics,3(1):36-42. [335]Schnurbus,J.,H.Haupt,V.Meier. 2017. Economic Transition and Growth:A Replication[J]. Journal of Applied Econometrics,32(5):1039-1042. [336]Simar,L.,P.W.Wilson. 2000. Statistical Inference in Nonparametric Frontier Models:The State of the Art[J]. Journal of Productivity Analysis,13(1):49-78. [337]Tone,K. 2004. Dealing with Undesirable Outputs in DEA:A Slacks-based Measure(SBM)Approach[C]. The Operations Research Society of Japan. [338]Zhang,X.P.,X.M.Cheng,J.H.Yuan. 2011. Total-factor Energy Efficiency in Developing Countries[J]. Energy Policy,39(2):644-650. [339]季成蹊.2016.宅文化之游戏领域——口袋妖怪GO及其商业模式[J].上海商业,12(10):15-18. [340]马壮,李延喜,曾伟强.2013.外部环境因素对制造业企业的技术效率影响研究[J].数量经济研究,4(2):1-9. [341]吴君,吴业明.2014.互联网金融创新的逻辑起点与法律边界——基于余额宝的商业模式[J].金融与经济,6(1):76-80. [342]Afuah,A.,C.L.Tucci. 2001. Internet Business Models and Strategies:Text and Cases[M]. MacGraw-Hill/Irwin. [343]Amit,R.,C.Zott. 2001. Value Creation in E-Business[J]. Strategic Management Journal,22:493-520. [344]Bonakdar,A. 2015. Business Model Innovation:Studies on Business Model Design,Protection,and Anchoring[D]. University of St.Gallen. [345]Busenitz,L.W.,C.Gomez,J.W.Spencer. 2000. Country Institutional Profiles:Unlocking Entrepreneurial Phenomena[J]. Academy of Management Journal,43(5):994-1003. [346]Carayannis,E.G.,E.Grigoroudis,S.Sindakis,et al. 2014. Business Model Innovation as Antecedent of Sustainable Enterprise Excellence and Resilience[J]. Journal of the Knowledge Economy,5(3):440-463. [347]Chesbrough,H. 2010. Business Model Innovation:Opportunities and Barriers[J]. Long Range Planning,43(2):354-363. [348]Clausen,T.H.,E.Rasmussen. 2013. Parallel Business Models and the Innovativeness of Research-based Spin-off Ventures[J]. The Journal of Technology Transfer,38(6):836-849. [349]Desyllas,P.,M.Sako. 2013. Profiting from Business Model Innovation:Evidence from Pay-As-You-Drive Auto Insurance[J]. Research Policy,42(1):101-116. [350]Govindarajan,V. 1984. Appropriateness of Accounting Data in Performance Evaluation:An Empirical Examination of Environmental Uncertainty as an Intervening Variable[J]. Accounting Organizations and Society,9:125-135. [351]Guo,H.,J.Tang,Z.F.Su,J.Katz. 2017. Opportunity Recognition and SME Performance:The Mediating Effect of Business Model Innovation[J]. R&D Management,47(3):431-442. [352]Kastalli,I.V.,B.Van Looy. 2013. Servitization:Disentangling the Impact of Service Business Model Innovation on Manufacturing Firm Performance[J]. Journal of Operations Management,31(4):169-180. [353]Li,H.,Y.Zhang. 2007. The Role of Managers’ Political Networking and Functional Experience in New Venture Performance:Evidence from China’s Transition Economy[J]. Strategic Management Journal,28(8):791-804. [354]Markides,C.C. 2013. Business Model Innovation:What Can the Ambidexterity Literature Teach Us?[J]. The Academy of Management Perspectives,27(4):313-323. [355]Morris,M.H.,M.Schindehutte,J.Allen. 2005. The Entrepreneur’s Business Model:Toward a Unified Perspective[J]. Journal of Business Research,58(6):726-735. [356]Morris,M.H.,G.Shirokova,A.Shatalov. 2013. The Business Model and Firm Perfomance:The Case of Russian Food Service Ventures[J]. Journal of Small Business Management,51(1):46-65. [357]North,D.C. 1990. Institutions,Institutional Change,and Economic Performance[M]. MA:Harvard University Press. [358]Peng,M.W.,P.S.Heath. 1996. The Growth of the Firm in Planned Economies in Transition:Institutions,Organizations,and Strategic Choice[J]. Academy of Management Review,21(2):492-528. [359]Peng,M.W. 2000. Business Strategies in Transition Economies[M]. Sage Publications,Thousand Oaks,CA. [360]Teece,D.J. 2007. Explicating Dynamic Capabilities:The Nature and Micro-foundations of Sustainable Enterprise Performance[J]. Strategic Management Journal,28:1319-1350. [361]Teece,D.J. 2010. Business Models,Business Strategy and Innovation[J]. Long Range Planning,43:172-194. [362]Visnjic,I.,F.Wiengarten,A.Neely. 2016. Only the Brave:Product Innovation,Service Business Model Innovation,and Their Impact on Performance[J]. Journal of Product Innovation Management,33(1):36-52. [363]Wikström,K.,M.Hellström,K.Artto,J.Kujala,S.Kujala. 2009. Services in Project-Based Firms-Four Types of Business Logic[J]. International Journal of Project Management,27(2):113-122. [364]Williamson,O.E. 1975. Market and Hierarchy:Analysis and Antitrust Implications[M]. Collier Macmillan Publishers,Inc. [365]Zott,C.,R.Amit. 2008. The Fit between Product Market Strategy and Business Model:Implications for Firm Performance[J]. Strategic Management Journal,29(1):1-26. [366]Zott,C.,R.Amit. 2007. Business Model Design and the Performance of Entrepreneurial Firms[J]. Organization Science,18(2):181-191.
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