2000年以来中国东部四大沿海城市群城市旅游业发展效率的综合测度与时空特征

doi:10.11821/dlyj201405014

地理研究 ›› 2014, Vol. 33 ›› Issue (5): 961-977.doi: 10.11821/dlyj201405014

2000年以来中国东部四大沿海城市群城市旅游业发展效率的综合测度与时空特征

李瑞¹, 吴殿廷¹, 殷红梅², 胡浩¹, 朱桃杏³, 吴孟珊²

1. 北京师范大学地理学与遥感科学学院, 北京100875;
2. 贵州师范大学地理与环境科学学院, 贵阳550001;
3. 石家庄铁道大学经济与管理学院, 石家庄050043

收稿日期:2013-05-28 修回日期:2013-08-14 出版日期:2014-05-10 发布日期:2014-05-10
通讯作者: 吴殿廷（1958- ），男，辽宁大连人，教授，博士，博士生导师，主要从事城市与区域发展研究。E-mail：wudianting@bnu.edu.cn
作者简介:李瑞（1984- ），男，贵州贵阳人，博士研究生，主要研究方向为城市群旅游和乡村社区旅游等。E-mail：liruigznu2008@163.com
基金资助:
国家自然科学基金项目（41140007，41261035）；河北省高等学校科学技术研究青年基金项目（QN1035）

Comprehensive measurement and spatial characteristics of development efficiency for urban tourism in eastern China：A case study of four coastal urban agglomerations

LI Rui¹, WU Dianting¹, YIN Hongmei², HU Hao¹, ZHU Taoxing³, WU Mengshan²

1. School of Geography, Beijing Normal University, Beijing 100875, China;
2. School of Geography and Environment Science, Guizhou Normal University, Guiyang 550001, China;
3. School of Economics and Management, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

Received:2013-05-28 Revised:2013-08-14 Online:2014-05-10 Published:2014-05-10

摘要/Abstract

摘要： 以城市群地级以上城市为生产单元，采用传统DEA、Bootstrap-DEA纠偏和Malmquist指数模型测算和分析中国东部4 大沿海城市群城市旅游业发展效率与时空特征。结果表明：①由传统DEA模型测度的城市群城市旅游业综合效率及其分解效率值均要高于Bootstrap-DEA纠偏模型测度后的效率值，表明了传统模型测度存在明显高估倾向的问题。② 2000 年以来4 大城市群主要直辖市、省会城市和核心城市旅游业投入资源利用综合水平呈持续良好态势；同时，长三角和珠三角城市旅游业平均投入资源利用综合水平呈无效向良好转变，京津冀和山东半岛城市旅游业则呈无效向中等转变。③ 2000 年以来珠三角和长三角城市旅游业综合效率受纯技术效率的影响程度略强于规模效率，而京津冀和山东半岛城市旅游业则反之。④ 2000年以来4 大城市群大多数城市提高幅度大但趋于下降，珠三角和长三角主要直辖市、省会城市和核心城市全要素生产率变化提高幅度略高于京津冀和山东半岛；同时，珠三角、长三角、京津冀和山东半岛城市旅游业平均全要素生产率提高幅度呈依次下降态势。

关键词: 城市旅游业, 发展效率, 沿海城市群, 中国东部

Abstract: Taking prefecture-level cities, vice-provincial cities and provincial capitals in China as analytical units, this paper measures and analyzes urban tourism development efficiency and spatial characteristics of four coastal urban agglomerations in eastern China by adopting the traditional DEA, Bootstrap-DEA and Malmquist models. Major conclusions include: (1) Measured by Bootstrap-DEA model, comprehensive efficiency and factorized efficiency of urban tourism of four urban agglomerations are both lower than those evaluated by traditional DEA model, indicating the obvious overestimate of traditional DEA model. (2) The comprehensive resource utilization efficiencies of urban tourism of municipalities, provincial capitals and main prefecture-level cities in the four urban agglomerations have kept in good condition since 2000;at the same time, the average comprehensive resource utilization efficiencies of urban tourism of Yangtze River Delta and Pearl River Delta urban agglomerations have transformed from ineffective to effective, and those of Beijing-Tianjin-Hebei and Shandong Peninsula urban agglomerations have changed from ineffective to moderately effective. (3) Since 2000, the comprehensive efficiencies of urban tourism of Pearl River Delta and Yangtze River Delta urban agglomerations have been affected by pure technical efficiency slightly more than those have been affected by scale efficiency, while it is opposite for Beijing-Tianjin-Hebei and Shandong Peninsula urban agglomerations. (4) The Total Factor Productivity (TFP) of most cities in the four urban agglomerations has substantially increased since 2000;the TFP increasing rates of Pearl River Delta and Yangtze River Delta urban agglomerations are both slightly higher than those of Beijing-Tianjin-Hebei and Shandong Peninsula urban agglomerations;however, the overall trend of TFP increasing rates declines. Meanwhile, the average TFP increasing rates of urban tourism of Pearl River Delta, Yangtze River Delta, Beijing-Tianjin-Hebei and Shandong Peninsula urban agglomerations decline in turn.

Key words: urban tourism, development efficiency, coastal urban agglomerations, eastern China

李瑞, 吴殿廷, 殷红梅, 胡浩, 朱桃杏, 吴孟珊. 2000年以来中国东部四大沿海城市群城市旅游业发展效率的综合测度与时空特征[J]. 地理研究, 2014, 33(5): 961-977.

LI Rui, WU Dianting, YIN Hongmei, HU Hao, ZHU Taoxing, WU Mengshan. Comprehensive measurement and spatial characteristics of development efficiency for urban tourism in eastern China：A case study of four coastal urban agglomerations[J]. GEOGRAPHICAL RESEARCH, 2014, 33(5): 961-977.

参考文献

[1] 古诗韵, 保继刚. 城市旅游研究进展. 旅游学刊, 1999, (2): 15-20.[Gu Shiyun, Bao Jigang. A survey on urban tourism research. Tourism Tribune, 1999, 14(2): 15-20.]
[2] 吴国清. 区域旅游城市化与城市旅游区域化研究: 兼论长三角区域一体化的旅游互动. 地域研究与开发, 2008, 27 (1): 51-55.[Wu Guoqing. Study on regional tourism urbanization and urban tourism regionalization: A case study of the interaction in the process of regional integration of Yangtse River Delta. Areal Research and Development, 2008, 27(1): 51-55.]
[3] 方创琳, 姚士谋, 刘盛和, 等. 2010 中国城市群发展报告. 北京: 科学出版社, 2011: 34-37.[Fang Chuanglin, Yao Shimou, Liu Shenghe. China Urban Agglomeration Development Report (2011). Beijing: Science Press, 2011: 34-37.]
[4] 李仙德, 宁越敏. 城市群研究述评与展望. 地理科学, 2012, 32(3): 282-288.[Li Xiande, Ning Yuemin. Review and prospect on urban agglomeration. Scientia Geographica Sinica, 2012, 32(3): 282-288.]
[5] 虞虎, 陆林, 朱东芳等. 城市旅游到城市群旅游的系统研究. 地理科学进展, 2012, 31(8): 1087-1096.[Yu Hu, Lu Lin, Zhu Dongfang. Urban tourism to urban agglomeration tourism: A deepening systematic research. Progress in Geography, 2012, 31(8): 1087-1096.]
[6] Morey R C, Dittman D A. Evaluating a hotel GM's performance: A case in benchmarking. Cornell Hotel Restaurant and Administration Quarterly, 1995, 36(5): 30-35.
[7] Tsaur S H. The operating efficiency of international tourist hotels in Taiwan. Asia Pacific Journal of Tourism Research, 2000, 6(1): 29-37.
[8] Barros C P, Matias A. Assessing the efficiency of travel agencies with a stochastic cost frontier: A Portuguese case study. International Journal of Tourism Research, 2006, 8(5): 367-379.
[9] Sarkis J, Talluri S. Performance based clustering for benchmarking of US airports. Transportation Research Part A, 2004, 38(5): 329-346.
[10] Lee C K, Han S H. Estimating the use and preservation values of national parks' tourism resources using a contingent valuation method. Tourism Management, 2002, 23(5): 531-540.
[11] 马晓龙, 保继刚. 基于DEA 的中国国家级风景名胜区使用效率评价. 地理研究, 2009, 28(3): 838-848.[Ma Xiaolong, Bao Jigang. Evaluating the using efficiencies of Chinese national parks with DEA. Geographical Research, 2009, 28(3): 838-848.]
[12] 曹芳东, 黄震方, 吴江, 等. 国家级风景名胜区旅游效率测度与区位可达性分析. 地理学报, 2012, 67(12): 1686-1697.[Cao Fangdong, Huang Zhenfang, Wu Jiang. The relationship between tourism efficiency measure and location accessibility of Chinese national scenic areas. Acta Geographica Sinica, 2012, 67(12): 1686-1697.]
[13] 马晓龙, 保继刚. 中国主要城市旅游效率的区域差异与空间格局. 人文地理, 2010, 25(1): 105-110.[Ma Xiaolong, Bao Jigang. Regional difference and spatial patterns of the tourism efficiency in Chinese primary tourist city. Human Geography, 2010, 25(1): 105-110.]
[14] 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. 地理研究, 2012, 31(8): 1431-1444.[Cao Fangdong, Huang Zhenfang, Wu Jiang. The space-time pattern evolution and its driving mechanism of urban tourism development efficiency: A case study of Pan-Yangtze River Delta. Geographical Research, 2012, 31(8): 1431-1444.]
[15] Simar L, Wilson P. Statistical inference in nonparametric frontier models. Journal of Productivity Analysis, 2000, 13 (1): 49-78.
[16] 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. 资源科学, 2010, 32(1): 88-97.[Ma Xiaolong, Bao Jigang. An evaluation on the efficiency of Chinese primary tourism cites based on the data envelopment Analysis. Resources Science, 2010, 32(1): 88-97.]
[17] 梁明珠, 易婷婷. 广东省城市旅游效率评价与区域差异研究. 经济地理, 2012, 32(10): 158-164.[Liang Mingzhu, Yi Tingting. An evaluation and analysis of tourism efficiency in different cities and regions of Guangdong province. Economic Geography, 2012, 32(10): 158-164.]
[18] Gregory Mankiw N. Principle of Economics. London: Oxford University Press, 1977.
[19] 马晓龙. 中国主要城市旅游效率及其全要素生产率评价[D]. 广州: 中山大学, 2008.[Ma Xiaolong. Evaluation on efficiency and total factors productivity of Chinese primary tourism cities: 1995-2005[D]. Guangzhou: Sun Yat-Sen University, 2008: 118-132.]
[20] Anderson R I, Fok R, Scott J. Hotel industry efficiency: An advanced linear programming examination. American Business Review, 2000, 18(1): 40-48.
[21] Barros C P. Measuring efficiency in the hotel sector. Annals of Tourism Research, 2005, 32(2): 456-477.
[22] Tsaur S H, Chiang C I, Chang T Y. Evaluation the operation efficiency of international tourist hotels using the modified DEA model. Asia Pacific Journal of Tourism Research, 1999, 14(1): 73-78.
[23] 王坤, 黄震方, 陶玉国, 等. 区域城市旅游效率的空间特征及溢出效应分析: 以长三角为例. 经济地理, 2013, 33(4): 161-167.[Wang Kun, Huang Zhenfang, Tao Yuguo. Study on spatial characteristics and spillover effects of urban tourism efficiency: a case of Yangtze River Delta. Economic Geography, 2013, 33(4): 161-167.]
[24] Anderson R I, Lewis D, Parker M E. Another look at the efficiency of corporate travel management departments. Journal of Travel Research, 1999, 37(3): 267-272.
[25] Wang, F. C., Huang, W. T., & Shang, J. K. Measuring pure managerial efficiency of international tourist hotels in Taiwan. The Service Industries Journal, 2006, 26(1): 59-71.
[26] Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operation Research, 1978, 2: 429-444.
[27] Farrell M J. The measurement of productive efficiency. Journal of the Royal Statistieal Soeiety, 1957, Series A, 120: 253-281.
[28] 马占新. 数据包络分析模型与方法. 北京: 科学出版社, 2010.[Ma Zhanxin. The Models and Methods on Data Envelopment Analysis. Beijing: Science Press, 2010: 45-54.]
[29] 方创琳, 关兴良. 中国城市群投入产出效率的综合测度与空间分异. 地理学报, 2011, 26(8): 1011-1022.[Fang Chuanglin, Guan Xinliang. Comprehensive measurement and spatial distinction of input-output efficiency of urban agglomerations in China. Acta Geographica Sinica, 2011, 26(8): 1011-1022.]
[30] Kniep A, Simar L, Wilson P. Asymptotics for DEA estimators in nonparametric frontier models. IAP Technical Report, 0323, 2003: 27-29.
[31] 曾翀, 万建平. 基于Bootstrap 方法VaR 区间估计. 经济数学, 2009, 26(1): 58-63.[Zeng Chong, Wan Jianping. Interval estimate for VAR based on bootstrap method. Mathematics in Economics, 2009, 26(1): 58-63.]
[32] Hall P. On the number of bootstrap simulations required to construct a confidence interval. Ann. Statistics, 1986, 14: 1453-1462.
[33] Farrell R, Grosskopf S, Lovell C A K. Production Frontiers. Cambridge: Cambridge University Press, 1994. 98-102.
[34] Caves D W, Christensen L R, Diewert W E. Multilateral comparisons of output, input and productivity using superlative index numbers. Economic Journal, 1982, 92: 73-86.
[35] Farrell R, Grosskopf S, Norris M. Productivity growth, technical progress, and efficiency change in industrialized countries: reply. American Economic Review, 1997, 87: 1040-1043.
[36] 赵勇, 白永秀. 中国城市群功能分工测度与分析. 中国工业经济, 2012, 24(11): 18-30.[Zhao Yong, Bai Yongxiu. Measuring and analyzing the functional specialization of Chinese urban agglomeration. China Industrial Economics, 2012, 24(11): 18-30.]
[37] 王亚中, 傅利平, 陈卫东. 中国城市土地集约利用评价与实证分析: 以三大城市群为例, 2010, 31(11): 95-99.[Wang Yazhong, Fu Lipng, Chen Weidong. The evaluation and empirical analysis of Chinese urban land intensive use: a case of three urban agglomerations. Inquiry into Economic Issues, 2010, 31(11): 95-99.]
[38] 方创琳, 宋吉涛, 蔺雪芹, 等. 中国城市群可持续发展理论与实践. 北京: 科学出版社, 2010.[Fang Chuanglin, Song Jitao, Lin Xueqin. The theory and practice on China Urban Agglomeration Sustainable Development. Beijing: Science Press, 2010: 219-223.]

2000年以来中国东部四大沿海城市群城市旅游业发展效率的综合测度与时空特征

Comprehensive measurement and spatial characteristics of development efficiency for urban tourism in eastern China：A case study of four coastal urban agglomerations

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