基于数据包络分析的中国旅游业发展效率特征

doi:10.11821/xb201008011

Abstract

Abstract:

By using the data envelopment analysis and through measuring the technical efficiency, scale efficiency as well as the total factor productivity, this paper analyzes the efficiency characteristics of the tourism industry development in China from 1999 to 2006. Some conclusions can be drawn as follows. (1) As the overall efficiency of tourism industry development in China from 1999 to 2006 is low, China's tourism industry fails to fully exploit the potential of the existing resources so that the total tourism input is maintained in a diseconomical status. (2) The mean value of pure technical efficiency in tourism industry is 0.658 from 1999 to 2006,which means the effective use of existing technology is lower and the potential of the technical progress is larger. (3) Tourism development in China's western provinces enjoys the advantage of late-development, and the technical progress efficiency increases faster in the provinces with lower technological efficiency. (4) The TFP growth rate varies remarkably in different provinces, which manifests the lower pattern in turn from east to west and central China. Moreover, this gap of TFP growth between regions still shows a trend of further expansion in regional tourism development efficiencies. Finally, in order to promote the transformation of growth mode and propel the high efficiency and sustainable development of the tourism industry in China, this paper puts forward the following suggestions based on the analysis results, i.e., to optimize the ratio of the input factors, integrate the industrial chain of tourism, perfect the innovation system of tourism industry, accelerate technological progress, and make preferential policies for regional development, etc.

Key words: tourism industry, data envelopment analysis, efficiency, total factor productivity

TAO Zhuomin, XUE Xianwei, GUAN Jingjing. Efficiency Characteristics Analysis of Tourism Industry in China Based on the Method of DEA[J].Acta Geographica Sinica, 2010, 65(8): 1004-1012.

References

[1] Baier S·L, Dwyer G·P, Tamura R. How important are capital and total factor productivity for economic growth? Economic Inquiry, 2006, 44(1): 23-49.

[2] Caselli F, Coleman II W·J. The world technology frontier. American Economic Review, 2006, 96(3): 499-522.

[3] Guo Qingwang, Zhao Zhiyun, Jia Junxue. The analysis of provincial total productivity in China. World Economy, 2005, (6): 45-53.
[郭庆旺, 赵志耘, 贾俊雪. 中国省份经济的全要素生产率分析. 世界经济, 2005, (6): 45-53.]

[4] Li Xun, Xu Xianxiang, Chen Haohui. Temporal and spatial changes of urban efficiency in the 1990s. Acta Geographica Sinica, 2005, 60(4): 615-625.
[李郇, 徐现祥, 陈浩辉. 20 世纪90 年代中国城市效率的时空变化. 地理学报, 2005, 60 (4): 615-625.]

[5] Xu Chensheng. Assessment on efficiencies of hi-tech parks in China based on DEA. Scientific Progress and Countermeasure, 2007, 24(8): 117-119.
[许陈生. 基于DEA 的我国高新区相对效率评价. 科技进步与对策, 2007, 24 (8): 117-119.]

[6] Lau K, Brada J. Technological progress and technical efficiency in Chinese industrial growth: A frontier production function approach. China Economic Review, 1990, (1): 113-124.

[7] Wu Y. Productivity and efficiency in China's regional economies//Fu T, Huang J, Lovell C//Economic Efficiency and Productivity in the Asia-Pacific Region. UK: Edward Elgar Publishing Limited, 1997: 125-141.

[8] Kalirajan K P, Obwona M B, Zhao S. A decomposition of total productivity growth: The case of Chinese agricultural growth before and after reforms. American Journal of Agricultural Economics, 1996, 78: 331-338.

[9] Lin Yifu. Institution, Technology and Chinese Agricultural Development. Shanghai: Sanlian Press, 1992: 87-89.
[林毅夫. 制度、技术与中国农业发展. 上海: 三联出版社, 1992: 87-89.]

[10] Yang Xiaoguang, Fan Jie, Zhao Yanxia. Factors of production in regional economic growth of China in the 1990s. Acta Geographica Sinica, 2002, 57(6): 701-708.
[杨晓光, 樊杰, 赵燕霞. 20 世纪90 年代中国区域经济增长的要素分析. 地理学报, 2002, 57(6): 701-708.]

[11] Gu Naihua. Efficiency characteristics of service industry in China and its causes: Based on DEA method. Finance and Trade Research, 2008, (4): 60-67.
[顾乃华. 我国服务业发展的效率特征及其影响因素. 财贸研究, 2008, (4): 60-67.]

[12] Zhu Shunlin. Technical efficiency appraisal of regional tourism industry. Reform of Economic System, 2005, (2): 116-119.
[朱顺林. 区域旅游产业的技术效率比较分析. 经济体制改革, 2005, (2): 116-119.]

[13] Zhang Genshui, Xiong Bojian, Cheng Limin. DEA-based efficiency evaluation on regional tourism. Commercial Research, 2006, (1): 179-182.
[张根水, 熊伯坚, 程理民. 基于DEA 理论的地区旅游业效率评价. 商业研究, 2006, (1): 179-182.]

[14] Gu Jiang, Hu Jing. Appraisal and model foundation of the efficiency in tourism production in China. Tongji University Journal: Social Science Section, 2008, (4): 93-98.
[顾江, 胡静. 中国分省区旅游生产效率模型创建与评价. 同济大学学报: 社会科学版, 2008, (4): 93-98.]

[15] Zuo Bing, Bao Jigang. Tourism total factor productivity and its regional variation in China from 1992 to 2005. Acta Geographica Sinica, 2008, 63(4): 418-427.
[左冰, 保继刚. 1992-2005 年中国旅游业全要素生产率及省际差异. 地理学报, 2008, 63(4): 418-427.]

[16] Charnes, Cooper W W, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, 2: 429-444.

[17] Charnes A, Cooper W W, Rhodes E. Evaluation program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science, 1981, 27(6): 668-697.

[18] Fare R, Grosskopf S, Roos P. Productivity and quality in Swedish pharmacies. International Journal of Production Economics, 1995, (9): 269-274.

[19] Shephard R W. Cost and Production. Princeton, N.J.: Princeton University Press, 1953.

[20] Wei Quanling. Effective Methods on Evaluating Relative Efficiency. Beijing: Science Press, 2004.
[魏权龄. 数据包络分析. 北京: 科学出版社, 2004.]

Efficiency Characteristics Analysis of Tourism Industry in China Based on the Method of DEA

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

[1]	LIAO Liuwen, GAO Xiaolu, LONG Hualou, TANG Lisha, CHEN Kunqiu, MA Enpu. A comparative study of farmland use morphology in plain and mountainous areas based on farmers' land use efficiency [J]. Acta Geographica Sinica, 2021, 76(2): 471-486.
[2]	FANG Shimin, HUANG Yan. Spatiotemporal evolutions and coordination of tourism efficiency and scale in the Yangtze River Economic Belt [J]. Acta Geographica Sinica, 2020, 75(8): 1757-1772.
[3]	WANG Shaojian, GAO Shuang, HUANG Yongyuan, SHI Chenyi. Spatio-temporal evolution and trend prediction of urban carbon emission performance in China based on super-efficiency SBM model [J]. Acta Geographica Sinica, 2020, 75(6): 1316-1330.
[4]	SUN Caizhi, MA Qifei, ZHAO Liangshi. Analysis of driving mechanism based on a GWR model of green efficiency of water resources in China [J]. Acta Geographica Sinica, 2020, 75(5): 1022-1035.
[5]	YUE Wenze, WU Tong, LIU Xue, ZHANG Linlin, WU Cifang, YE Yanmei, ZHENG Guozhou. Developing an urban sprawl index for China's mega-cities [J]. Acta Geographica Sinica, 2020, 75(12): 2730-2743.
[6]	LI Ruzi, LIU Yaobin, WANG Wengang, XIE Dejin. China's urban land finance expansion and the transmission routes to economic efficiency [J]. Acta Geographica Sinica, 2020, 75(10): 2126-2145.
[7]	WANG Xiangdong, LIU Xiaoqian, PEI Tao, WANG Zhenbo. Potential evaluation of urban land intensive use in Beijing-Tianjin-Hebei region based on measurement of technical efficiency [J]. Acta Geographica Sinica, 2019, 74(9): 1853-1865.
[8]	LI Shuangshuang, YAN Junping, WU Yaqun, WANG Chengbo. Spatiotemporal variability of actual heating energy efficiency and its influencing factors in areas south and north of Qinling-Huaihe Line [J]. Acta Geographica Sinica, 2019, 74(9): 1866-1877.
[9]	ZHOU Liang, CHE Lei, ZHOU Chenghu. Spatio-temporal evolution and influencing factors of urban green development efficiency in China [J]. Acta Geographica Sinica, 2019, 74(10): 2027-2044.
[10]	ZHOU Kan, LIU Baoyin, FAN Jie. Economic resilience and recovery efficiency in the severely affected area of Ms 8.0 Wenchuan earthquake [J]. Acta Geographica Sinica, 2019, 74(10): 2078-2091.
[11]	REN Xiaoli,LU Qianqian,HE Honglin,ZHANG Li,NIU Zhongen. Spatio-temporal variations of the ratio of transpiration to evapotranspiration in forest ecosystems along theNorth-South Transect of Eastern China [J]. Acta Geographica Sinica, 2019, 74(1): 63-75.
[12]	ZHOU Lin,TIAN Li,ZHANG Zhen,LI Wei. The street networks evolution in Beijing old city since the establishment of the Republic of China: A syntactical view [J]. Acta Geographica Sinica, 2018, 73(8): 1433-1448.
[13]	JIN Gui,DENG Xiangzheng,ZHAO Xiaodong,GUO Baishu,YANG Jun. Spatio-temporal patterns of urban land use efficiency in the Yangtze River Economic Zone during 2005-2014 [J]. Acta Geographica Sinica, 2018, 73(7): 1242-1252.
[14]	CUI Xuegang, FANG Chuanglin, ZHANG Qiang. Spatial relationship between high-speed transport superiority degree and land-use efficiency in Shandong Peninsula urban agglomeration [J]. Acta Geographica Sinica, 2018, 73(6): 1149-1161.
[15]	HOU Mengyang, YAO Shunbo. Spatial-temporal evolution and trend prediction of agricultural eco-efficiency in China: 1978-2016 [J]. Acta Geographica Sinica, 2018, 73(11): 2168-2183.