研究论文 |
|
|
|
|
中国旅游效率与全要素生产率的测算与分解——基于三层级共同前沿SBM-DEA模型的实证分析 |
查建平( ), 钱醒豹, 赵倩倩, 谭庭 |
四川大学旅游学院 四川成都 610065 |
|
Estimation and Decomposition of Efficiency and Total Factor Productivity of China’s Tourism: Empirical Analysis Based on the Three-hierarchy Meta-frontier SBM-DEA Model |
Jianping ZHA( ), Xingbao QIAN, Qianqian ZHAO, Ting TAN |
Sichuan University, School of Tourism, Chengdu 610065, China |
引用本文:
查建平, 钱醒豹, 赵倩倩, 谭庭. 中国旅游效率与全要素生产率的测算与分解——基于三层级共同前沿SBM-DEA模型的实证分析[J]. 旅游导刊, 2019, 3(3): 1-27.
Jianping ZHA, Xingbao QIAN, Qianqian ZHAO, Ting TAN. Estimation and Decomposition of Efficiency and Total Factor Productivity of China’s Tourism: Empirical Analysis Based on the Three-hierarchy Meta-frontier SBM-DEA Model. Tourism and Hospitality Prospects, 2019, 3(3): 1-27.
链接本文:
https://lydk.bisu.edu.cn/CN/10.12054/lydk.bisu.93
或
https://lydk.bisu.edu.cn/CN/Y2019/V3/I3/1
|
[1] |
Adnan Hye Q M, Ali Khan R E. Tourism-led growth hypothesis: A case study of Pakistan[J]. Asia Pacific Journal of Tourism Research, 2013, 18(4): 303~313.
doi: 10.1080/10941665.2012.658412
|
[2] |
Antonakakis N, Dragouni M, Filis G.How strong is the linkage between tourism and economic growth in Europe?[J]. Economic Modelling, 2015(44): 142~155.
|
[3] |
Assaf A G.Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier[J]. Tourism Management, 2012, 33(5): 1122~1127.
doi: 10.1016/j.tourman.2011.11.021
|
[4] |
Barros C P, Mascarenhas M J.Technical and allocative efficiency in a chain of small hotels[J]. International Journal of Hospitality Management, 2005, 24(3): 415~436.
doi: 10.1016/j.ijhm.2004.08.007
|
[5] |
Bernini C, Guizzardi A.Internal and locational factors affecting hotel industry efficiency: Evidence from Italian business corporations[J]. Tourism Economics, 2010, 16(4): 883~913.
doi: 10.5367/te.2010.0008
|
[6] |
Chambers R G, Chung Y, F?re R.Benefit and distance functions[J]. Journal of Economic Theory, 1996, 70(2): 407~419.
doi: 10.1006/jeth.1996.0096
|
[7] |
Corne A.Benchmarking and tourism efficiency in France[J]. Tourism Management, 2015(51): 91~95.
|
[8] |
Cornet C.Tourism development and resistance in China[J]. Annals of Tourism Research, 2015(52): 29~43.
|
[9] |
Cracolici M F, Nijkamp P, Rietveld P.Assessment of tourism competitiveness by analysing destination efficiency[J]. Tourism Economics, 2008, 14(2): 325~342.
doi: 10.5367/000000008784460427
|
[10] |
Chao F,Wang M,Zhang Y,Liu C C.Decomposition of energy ef?ciency and energy-saving potential in China:A three-hierarchy meta-frontier approach[J]. Journal of Cleaner Production,2018(176):1054~1064.
|
[11] |
Deng T T, Ma M L.Resource curse in tourism economies? An investigation of China’s world cultural and natural heritage sites[J]. Asia Pacific Journal of Tourism Research, 2014, 19(7): 809~822.
doi: 10.1080/10941665.2013.806943
|
[12] |
Dritsakis N.Tourism as a long-run economic growth factor: An empirical investigation for Greece using causality analysis[J]. Tourism Economics, 2004, 10(3): 305~316.
doi: 10.5367/0000000041895094
|
[13] |
Du K R, Huang L, Yu K.Sources of the potential CO2, emission reduction in China: A nonparametric metafrontier approach[J]. Applied Energy, 2014(115): 491~501.
|
[14] |
Durbarry R.Tourism and economic growth: The case of Mauritius[J]. Tourism Economics, 2004, 10(4): 389~401.
doi: 10.5367/0000000042430962
|
[15] |
Feng C, Wang M.Analysis of energy efficiency and energy savings potential in China’s provincial industrial sectors[J]. Journal of Cleaner Production, 2017a(164): 1531~1541.
|
[16] |
Feng C, Wang M.The economy-wide energy efficiency in China’s regional building industry[J]. Energy, 2017b(141): 1869~1879.
|
[17] |
Feng C, Wang M, Zhang Y, et al.Decomposition of energy efficiency and energy-saving potential in China: A three-hierarchy meta-frontier approach[J]. Journal of Cleaner Production, 2018(176): 1054~1064.
|
[18] |
Fuentes R.Efficiency of travel agencies: A case study of Alicante, Spain[J]. Tourism Management, 2011, 32(1): 75~87.
doi: 10.1016/j.tourman.2009.12.003
|
[19] |
Fukuyama H, Weber W L.A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences, 2009, 43(4): 274~287.
doi: 10.1016/j.seps.2008.12.001
|
[20] |
Gabarda-Mallorquí A, Garcia X, Ribas A.Mass tourism and water efficiency in the hotel industry: A case study[J]. International Journal of Hospitality Management, 2017(61): 82~93.
|
[21] |
Gunduz L, Hatemi J A.Is the tourism-led growth hypothesis valid for Turkey?[J]. Applied Economics Letters, 2005, 12(8): 499~504.
doi: 10.1080/13504850500109865
|
[22] |
Henry E W, Deane B.The contribution of tourism to the economy of Ireland in 1990 and 1995[J]. Tourism Management, 1997, 18(8): 535~553.
doi: 10.1016/S0261-5177(97)00083-6
|
[23] |
Herrero-Prieto L C. Evaluating the efficiency of cultural travel destinations: A DEA approach[M]//Ateca-Amestoy V M, Ginsburgh V, Mazza I, et al. Enhancing Participation in the Arts in the EU. Cham: Springer, 2017: 237~248.
|
[24] |
Husain N, Abdullah M, Kuman S.Evaluating public sector efficiency with data envelopment analysis (DEA): A case study in Road Transport Department, Selangor, Malaysia[J]. Total Quality Management, 2000, 11(4—6): 830~836.
doi: 10.1080/09544120050008282
|
[25] |
Jin J C.The effects of tourism on economic growth in Hong Kong[J]. Cornell Hospitality Quarterly, 2011, 52(3): 333~340.
doi: 10.1177/1938965510394169
|
[26] |
Katircioglu S T.Testing the tourism-led growth hypothesis: The case of Malta[J]. Acta Oeconomica, 2009, 59(3): 331~343.
doi: 10.1556/AOecon.59.2009.3.4
|
[27] |
K?ksal C D, Aksu A A.Efficiency evaluation of a-group travel agencies with data envelopment analysis (DEA): A case study in the Antalya region, Turkey[J]. Tourism Management, 2007, 28(3): 830~834.
doi: 10.1016/j.tourman.2006.05.013
|
[28] |
Lee C C, Chang C P.Tourism development and economic growth: A closer look at panels[J]. Tourism Management, 2008, 29(1): 180~192.
doi: 10.1016/j.tourman.2007.02.013
|
[29] |
Medina L F, Gómez I G, Marrero S M.Measuring efficiency of sun & beach tourism destinations[J]. Annals of Tourism Research, 2012, 39(2): 1248~1251.
doi: 10.1016/j.annals.2011.12.006
|
[30] |
Morey R C, Dittman D A.Evaluating a hotel GM’s performance:A case study in benchmarking[J]. The Cornell Hotel and Restaurant Administration Quarterly, 1995, 44(5~6): 53~59.
|
[31] |
O’Donnell C J, Rao D S P, Battese G E. Metafrontier frameworks for the study of firm-level efficiencies and technology ratios[J]. Empirical Economics, 2008, 34(2): 231~255.
doi: 10.1007/s00181-007-0119-4
|
[32] |
Preda P, Watts T.Improving the efficiency of sporting venues through capacity management: The case of the Sydney (Australia) Cricket Ground Trust[J]. Event Management, 2003, 8(2): 83~89.
doi: 10.3727/152599503108751739
|
[33] |
Roget F M, González X A R. Occupancy level and productivity in rural tourism establishments: The case of Galicia, Spain[J]. Tourism Economics, 2006, 12(2): 279~289.
doi: 10.5367/000000006777637485
|
[34] |
Sarkis J, Talluri S.Performance based clustering for benchmarking of US airports[J]. Transportation Research Part A: Policy and Practice, 2004, 38(5): 329~346.
|
[35] |
Tang C F, Tan E C.Does tourism effectively stimulate Malaysia’s economic growth?[J]. Tourism Management, 2015(46): 158~163.
|
[36] |
Wang Q W, Zhao Z Y, Zhou P, et al.Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach[J]. Economic Modelling, 2013(35): 283~289.
|
[37] |
Wang Q W, Zhang H M, Zhang W.A Malmquist CO2 emission performance index based on a metafrontier approach[J]. Mathematical and Computer Modelling, 2013, 58(5—6): 1068~1073.
doi: 10.1016/j.mcm.2012.05.003
|
[38] |
Wang Z H, Feng C, Zhang B.An empirical analysis of China’s energy efficiency from both static and dynamic perspectives[J]. Energy, 2014(74): 322~330.
|
[39] |
Yang G H, Li P, Zheng B, et al.GHG emission-based eco-efficiency study on tourism itinerary products in Shangri-La, Yunnan Province, China[J]. Current Issues in Tourism, 2008, 11(6): 604~622.
doi: 10.1080/13683500802475943
|
[40] |
Zeng B X, Ryan C.Assisting the poor in China through tourism development: A review of research[J]. Tourism Management, 2012, 33(2): 239~248.
doi: 10.1016/j.tourman.2011.08.014
|
[41] |
Zhang N, Choi Y.Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis[J]. Energy Economics, 2013(40): 549~559.
|
[42] |
曹芳东, 黄震方, 吴江, 等. 城市旅游发展效率的时空格局演化特征及其驱动机制——以泛长江三角洲地区为例[J]. 地理研究, 2012, 31(8): 1431~1444.
|
[43] |
曹芳东, 黄震方, 徐敏, 等. 风景名胜区旅游效率及其分解效率的时空格局与影响因素——基于Bootstrap-DEA模型的分析方法[J]. 地理研究, 2015, 34(12): 2395~2408.
|
[44] |
耿松涛. 中国旅游上市公司全要素生产率研究[J]. 南京社会科学, 2012(5): 15~21.
|
[45] |
韩元军, 夏少颜, 周生辉. 中国旅游业服务质量规制与产业效率提升[J]. 财贸经济, 2011(10): 127~134.
|
[46] |
胡志毅. 基于DEA-Malmquist模型的中国旅行社业发展效率特征分析[J]. 旅游学刊, 2015, 30(5): 23~30.
doi: 10.3969/j.issn.1002-5006.2015.05.003
|
[47] |
李国平, 郭勇, 刘大为. 自然保护区管理效率评价研究——以牛背梁国家级自然保护区为例[J]. 旅游学刊, 2015, 30(3): 76~85.
doi: 10.3969/j.issn.1002-5006.2015.03.008
|
[48] |
李胜文, 李大胜, 邱俊杰, 等. 中西部效率低于东部吗?——基于技术集差异和共同前沿生产函数的分析[J]. 经济学(季刊), 2013, 12(2): 777~798.
|
[49] |
梁流涛, 杨建涛. 中国旅游业技术效率及其分解的时空格局——基于DEA模型的研究[J]. 地理研究, 2012, 31(8): 1422~1430.
|
[50] |
梁明珠, 易婷婷, Li B.基于DEA-MI模型的城市旅游效率演进模式研究[J]. 旅游学刊, 2013, 28(5): 53~62.
doi: 10.3969/j.issn.1002-5006.2013.05.006
|
[51] |
梁楠楠, 王贤梅. 基于DEA的中国旅游业各区域效率差异评价[J]. 北京航空航天大学学报(社会科学版), 2018, 31(3): 61~69.
|
[52] |
廖斌斌. 中国旅游效率评价与区域差异研究——基于2000—2011年省际面板数据[J]. 科技和产业, 2013, 13(12): 35~38, 102.
|
[53] |
刘佳, 陆菊, 刘宁. 基于DEA-Malmquist模型的中国沿海地区旅游产业效率时空演化、影响因素与形成机理[J]. 资源科学, 2015, 37(12): 2381~2393.
|
[54] |
刘振滨, 林丽梅, 郑逸芳. 森林公园全要素生产率及其收敛性分析[J]. 干旱区资源与环境, 2017, 31(8): 44~49.
|
[55] |
马晓龙, 保继刚. 基于数据包络分析的中国主要城市旅游效率评价[J]. 资源科学, 2010, 32(1): 88~97.
|
[56] |
任毅, 刘婉琪, 赵珂, 等. 中国旅游上市公司经营效率的测度与评价——基于混合DEA模型的实证分析[J]. 旅游学刊, 2017, 32(7): 27~36.
|
[57] |
生延超, 钟志平. 规模扩张还是技术进步: 中国饭店业全要素生产率的测度与评价——基于非参数的曼奎斯特(Malmquist)生产率指数研究[J]. 旅游学刊, 2010, 25(5): 25~32.
|
[58] |
陶卓民, 薛献伟, 管晶晶. 基于数据包络分析的中国旅游业发展效率特征[J]. 地理学报, 2010, 65(8): 1004~1012.
|
[59] |
王坤, 黄震方, 曹芳东, 等. 泛长江三角洲城市旅游绩效空间格局演变及其影响因素[J]. 自然资源学报, 2016, 31(7): 1149~1163.
|
[60] |
王群伟, 周鹏, 周德群. 生产技术异质性、二氧化碳排放与绩效损失——基于共同前沿的国际比较[J]. 科研管理, 2014, 35(10): 41~48.
|
[61] |
许建伟, 许新宇, 朱明侠, 等. 中国省际旅游效率评价及其敏感性分析[J]. 资源开发与市场, 2013, 29(5): 526~528, 560.
|
[62] |
杨春梅, 赵宝福. 中国著名旅游城市旅游业的效率研究[J]. 旅游科学, 2014, 28(1): 65~75.
|
[63] |
张丹, 张宗书, 蒋敬. 中国旅游上市公司经营效率评价及对策建议——基于2008—2013年的面板数据[J]. 西部经济管理论坛, 2015, 26(3): 71~79.
|
[64] |
张鹏, 于伟, 徐东风. 我国省域旅游业效率测度及影响因素研究——基于SFA和空间Durbin模型分析[J]. 宏观经济研究, 2014(6): 80~85, 112.
|
[65] |
赵磊. 中国旅游全要素生产率差异与收敛实证研究[J]. 旅游学刊, 2013, 28(11): 12~23.
doi: 10.3969/j.issn.1002-5006.2013.11.002
|
[66] |
赵小芸. 旅游投资在西部旅游扶贫中的效用分析[J]. 旅游学刊, 2004, 19(1): 16~20.
|
[67] |
中国旅游研究院. 中国旅行社产业发展报告2014[M]. 北京: 旅游教育出版社, 2014.
|
[68] |
钟少颖, 何则. 基于DEA与ESDA的中国国家级贫困县发展效率的测度与时空演化研究[J]. 中国人口?资源与环境, 2016, 26(10): 130~136.
|
[69] |
左冰, 保继刚. 1992—2005年中国旅游业全要素生产率及省际差异[J]. 地理学报, 2008, 63(4): 417~427.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|