中国大陆省际旅游效率时空演化及其俱乐部趋同研究

doi:10.18306/dlkxjz.2018.10.009

Abstract

Abstract:

The improvement of quality and efficiency of tourism industry is one of the most important tourism issues under China's new normal economy. Based on the data of tourism development and related data of the Chinese mainland from 1997 to 2015, and comprehensively using the methods of modified data envelopment analysis (DEA) model, spatial Markov chain, impulse response model, and club convergence theory and quantitative calculation of tourism efficiency, this study analyzed the spatiotemporal evolution and mechanism of tourism efficiency in the Chinese mainland. The results indicate that: provincial tourism efficiency showed strong regional characteristics. The tourism economy growth was highly intensive in the eastern area, while it was highly extensive in the western region. The transfer of tourism efficiency is always affected by the tourism efficiency of neighboring regions. The spatial transfer of tourism efficiency is more active, but the basic pattern has not changed after considering the spatial factors. Item efficiency showed high stability, especially the scale efficiency. The spatiotemporal evolution of tourism efficiency led to the effect of club convergence to some degree—a phenomenon of "one takes the behavior of one's company." Club convergence of provincial tourism efficiency objectively makes the tourism development "stable"; however, it is not conducive to efficiency improvement. Tourism development cooperation must break through the geographical restrictions in the future.

Key words: tourism efficiency, spatial Markov chain, club convergence, impulse response, China

Yelin FANG, Zhenfang HUANG, Fang WANG, Jinglong LI. Spatiotemporal evolution of provincial tourism efficiency and its club convergence in the Chinese Mainland[J].PROGRESS IN GEOGRAPHY, 2018, 37(10): 1392-1404.

Figures/Tables 10

Tab. 1

Fig. 1

Tab.2

Fig.2

Tab.3

Fig.3

Tab.4

Fig.4

Tab.5

Tab.6

References 36

[1]	曹芳东, 黄震方, 吴江, 等. 2012. 国家级风景名胜区旅游效率测度与区位可达性分析[J]. 地理学报, 67(12): 1686-1697. doi: 10.11821/xb201212010
	[Cao F D, Huang Z F, Wu J, et al.2012. The relationship between tourism efficiency measure and location accessibility of Chinese national scenic areas[J]. Acta Geographica Sinica, 67(12): 1686-1697.] doi: 10.11821/xb201212010
[2]	陈刚强, 李映辉. 2017. 技术溢出、空间差异与旅游业增长趋同[J]. 旅游学刊, 32(3): 85-94. doi: 10.3969/j.issn.1002-5006.2017.03.014
	[Chen G Q, Li Y H.2017. Technology spillover, spatial difference, and tourism growth convergence in China[J]. Tourism Tribune, 32(3): 85-94.] doi: 10.3969/j.issn.1002-5006.2017.03.014
[3]	邓洪波, 陆林. 2014. 基于DEA模型的安徽省城市旅游效率研究[J]. 自然资源学报, 29(2): 313-323.
	[Deng H B, Lu L.2014. The urban tourism efficiencies of cities in Anhui Province based on DEA model[J]. Journal of Natural Resources, 29(2): 313-323.]
[4]	丁振民, 黄秀娟. 2016. 资本投入对中国森林公园旅游效率的影响研究[J]. 资源科学, 38(7): 1363-1372. doi: 10.18402/resci.2016.07.16
	[Ding Z M, Huang X J.2016. Capital input effects on the tourism efficiency of forest parks in China[J]. Resources Science, 38(7): 1363-1372.] doi: 10.18402/resci.2016.07.16
[5]	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.
	[Fan G, W X L, Ma G R.2011. Contribution of marketization to China's economic growth[J]. Economic Research Journal, (9): 4-16.]
[6]	方叶林. 2016. 中国省域旅游业发展效率: 测度、演化及机理[M]. 北京: 北京师范大学出版社.
	[Fang Y L.2016. Development efficiency of tourism industry in China: Measure, evolution and mechanism[M]. Beijing, China: Beijing Normal University Press.]
[7]	方叶林, 黄震方, 李东和, 等. 2015. 中国省域旅游业发展效率测度及其时空演化[J]. 经济地理, 35(8): 189-195.
	[Fang Y L, Hang Z F, Li D H, et al.2015. The measurement of chinese provincial tourism developing efficiency and its spatio-temporal evolution[J]. Economic Geography, 35(8): 189-195.]
[8]	方叶林, 黄震方, 王坤, 等. 2013. 中国星级酒店相对效率集聚的空间分析及提升对策[J]. 人文地理, 28(1): 121-127.
	[Fang Y L, Huang Z f, Wang K, et al.2013. The spatial analysis of relative efficiency agglomeration about Chinese star-rated hotels and promotion strategies[J]. Human Geography, 28(1): 121-127.]
[9]	方叶林, 黄震方, 张宏, 等. 2013. 省域旅游发展的错位现象及旅游资源相对效率评价[J]. 自然资源学报, 38(10): 1754-1764.
	[Fang Y L, Huang Z F, Zhang H, et al.2013. The asynchronous phenomenon and relative efficiency of tourism resources in China: Taking the 31 provinces' panel data from 2001 to 2009 for an example[J]. Journal of Natural Resource, 38(10): 1754-1764.]
[10]	李瑞, 郭谦, 贺跻, 等. 2014. 环渤海地区城市旅游业发展效率时空特征及其演化阶段: 以三大城市群为例[J]. 地理科学进展, 33(6): 773-785 doi: 10.11820/dlkxjz.2014.06.006
	[Li R, Guo Q, He J, et al.2014. Spatial temporal characteristics of development efficiencies for urban tourism: A case study of three urban agglomerations in Bohai Rim[J]. Progress in Geography, 33(6): 773-785.] doi: 10.11820/dlkxjz.2014.06.006
[11]	梁明珠, 易婷婷, Bin Li.2013. 基于DEA-MI模型的城市旅游效率演进模式研究[J]. 旅游学刊, 28(5): 53-62. doi: 10.3969/j.issn.1002-5006.2013.05.006
	[Liang M Z, Yi T T, Bin L.2013. Study on the evolutional model of tourism efficiency based on DEA-MI[J]. Tourism Tribune, 28(5): 53-62.] doi: 10.3969/j.issn.1002-5006.2013.05.006
[12]	刘长生. 2012. 低碳旅游服务提供效率评价研究: 以张家界景区环保交通为例[J]. 旅游学刊, 27(3): 90-98. doi: 10.3969/j.issn.1002-5006.2012.03.017
	[Liu C S.2012. On the evaluation approach of "low-carbon tourism" service providing efficiency and its empirical study[J]. Tourism Tribune, 27(3): 90-98.] doi: 10.3969/j.issn.1002-5006.2012.03.017
[13]	刘巍, 陈昭. 2011. 计量经济学软件EViews 6.0建模方法与操作技巧[M]. 北京: 机械工业出版社.
	[Liu W, Chen Z.2011. Econometrics software EViews6.0 modeling method and operation skill[M]. Beijing, China: Mechanical Industry Publishing Houses.]
[14]	马晓龙, 保继刚. 2009a. 基于DEA的中国国家级风景名胜区使用效率评价[J]. 地理研究, 28(3): 838-848.
	[Ma X L, Bao J G.2009a. Evaluating the using efficiencies of Chinese national parks with DEA[J]. Geographical Research, 28(3): 838-848.]
[15]	马晓龙, 保继刚. 2009b. 中国主要城市旅游效率影响因素的演化[J]. 经济地理, 29(7): 1203-1208.
	[Ma X L, Bao J G.2009b. Study on the evolution of Chinese primary citise’ tourism efficiency influence factors[J]. Economic Geography, 29(7): 1203-1208.]
[16]	彭红松, 章锦河, 韩娅, 等. 2017. 旅游地生态效率的SBM-DEA模型及实证分析[J]. 生态学报, 37(2): 628-638.
	[Peng H S, Zhang J H, Han Y, et al.2017. Measurement and empirical of eco-efficiency in tourism destination based on a slack-based measure-date envelopment analysis model[J]. Acta Ecologica Sinica, 37(2): 628-638.]
[17]	彭建军,陈浩. 2004. 基于DEA的星级酒店效率研究: 以北京、上海、广东相对效率分析为例[J].旅游学刊,19(2): 59-62.
	[Peng J J, Chen H.2004. A study on the efficiency of star-rated hotel: A case study on the relative efficiency of Beijing[J]. Tourism Tribune, 19(2): 59-62.]
[18]	蒲英霞, 马荣华, 葛莹, 等. 2005. 基于空间马尔科夫链的江苏省区域趋同时空演变[J]. 地理学报, 60(5): 817-826.
	[Pu Y X, Ma R H, Ge Yet al.2005. Spatia-temporal dynamics of Jiangsu regional convergence with spatial Markov chains approach[J]. Acta Geographica Sinica, 60(5): 817-826.]
[19]	覃成林, 刘迎霞, 李超. 2012. 空间外溢与区域经济增长趋同:基于长江三角洲的案例分析[J]. 中国社会科学, (5): 76-94.
	[Qin C L, Liu Y X, Li C.2012. Spatial spillover and the convergence of regional economic growth: A case study of the Yangtze River Delta[J]. Social Sciences in China, (5): 76-94. ]
[20]	覃成林, 唐永. 2007. 河南区域经济增长俱乐部趋同研究[J]. 地理研究, 26(3): 548-556.
	[Qin C L, Tang Y.2007. Club convergence of regional economic growth in Henan Province[J]. Geographical Research, 26(3): 548-556.]
[21]	覃成林, 张伟丽. 2009. 中国区域经济增长俱乐部趋同检验及因素分析[J]. 管理世界, (3): 21-35.
	[Qin C L, Zhang W L.2009. Analysis of testing and influence factors of Chinese regional economic club convergence[J]. Management World, (3): 21-35.]
[22]	任毅, 刘婉琪, 赵珂, 等. 2017. 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, 32(7): 27-36.
	[Ren Y, Liu W Q, Zhao K, et al.2017. The measurement and evaluation of the operating efficiency of China's listed tourism companies: An empirical analysis based on the mixed DEA model[J]. Tourism Tribune, 32(7): 27-36.]
[23]	申鹏鹏, 周年兴, 张允翔, 等. 2018. 基于DEA-Malmquist指数二次分解模型的江苏省旅游产业效率时空演变及影响因素[J]. 长江流域资源与环境, 27(1): 53-62. doi: 10.11870%2fcjlyzyyhj201801007
	[Shen P P, Zhou N X, Zhang Y X, et al.2018. Spatio-temporal evolution and influencing factors of tourism industry efficiency in Jiangsu Province based on Dea-Malmquist Index secondary decomposition model[J]. Resources and Environment in Yangtze Basin, 27(1): 53-62.] doi: 10.11870%2fcjlyzyyhj201801007
[24]	陶长琪, 齐亚伟. 2011. 中国区域技术相对效率的时空演变分析[J]. 经济地理, 31(5): 730-735.
	[Tao C Q, Qi Y W.2011. Review on regional economic disparities in China[J]. Economic Geography, 31(5): 730-735.]
[25]	陶卓民, 薛献伟, 管晶晶. 2010. 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, 65(8): 1004-1012. doi: 10.3724/SP.J.1142.2010.40466
	[Tao Z M, Xue X W, Guan J J.2010. Efficiency characteristics analysis of tourism industry in China based on the method of DEA[J]. Acta Geographica Sinica, 65(8): 1004-1012.] doi: 10.3724/SP.J.1142.2010.40466
[26]	王良健, 李晶晶, 陈锦龙. 2010. 中国省际旅游业发展演进的时空特征[J]. 地理科学进展, 29(10): 1249-1255. doi: 10.11820/dlkxjz.2010.10.013
	[Wang L J, Li J J, Chen J L.2010. Spatial- temporal features of inter-province tourism in China[J]. Progress in Geography, 29(10): 1249-1255.] doi: 10.11820/dlkxjz.2010.10.013
[27]	徐菁, 沙润, 靳诚. 2008. 长江三角洲入境旅游发展趋同研究[J]. 经济地理, 28(2): 334-337.
	[Xu J, Sha R, Jin C.2008. Analysis of the inbound tourism development similarization in Yangtze-delta[J]. Economic Geography, 28(2): 334-337.]
[28]	姚治国, 陈田, 尹寿兵, 等. 2016. 区域旅游生态效率实证分析: 以海南省为例[J]. 地理科学, 26(3): 417-423.
	[Yao Z G, Chen T, Yin S B, et al.2016. Regional tourism eco-efficiency model and an empirical research of Hainan Province[J]. Scientia Geographica Sinica, 26(3):417-423.]
[29]	余凤龙, 黄震方, 曹芳东, 等. 2014. 中国城镇化进程对旅游经济发展得影响[J]. 自然资源学报, 29(8): 1297-1309.
	[Yu F L, Huang Z F, Cao F D, et al.2014. Influence of China's urbanization to tourism economic development[J]. Journal of Natural Resources, 29(8): 1297-1309.]
[30]	赵磊, 全华. 2011. 中国国内旅游消费与经济增长关系的实证分析[J]. 经济问题, (4): 32-38.
	[Zhao L, Quan H.2011. An empirical study on relation between domestic tourism consumption and economic growth in China[J]. On Economic Problems, (4): 32-38.]
[31]	赵立禄, 段文军. 2012. 我国旅行社全要素生产率的测算与分析[J]. 干旱区资源与环境, 26(8): 180-183.
	[Zhao L L, Duan W J.2012. The measurement and analysis of total factor productivity of China's travel agency industry[J]. Journal of Arid Land Resources and Environment, 26(8): 180-183.]
[32]	Barros C P.2005. Measuring efficiency in the hotel sector[J].Annals of Tourism Research, 32(2): 456-477. doi: 10.1016/j.annals.2004.07.011
[33]	Barros C P.2006. Analysis the rata of technical change in the Portuguese hotel industry[J]. Tourism Economics, 12(3): 325-346. doi: 10.5367/000000006778493673
[34]	Morey R, Ditterman D.1995. Evaluating a hotel GM's performance: A case study in benchmarking[J]. Cornell Hotel & Restaurant Administration Quarterly, 36(5): 30-35.
[35]	Nooreha H, Mokhtar A, Suresh K.2000. Evaluating public sector efficiency with data envelopment analysis(DEA): A case study in road transport department, Selangor, Malasia[J]. Total Quality Management, 11(4/5&6): 830-836. doi: 10.1080/09544120050008282
[36]	Tsionas E G.2002. Another look at regional convergence in Greece[J]. Regional Studies, 36(6): 603-609. doi: 10.1080/00343400220146759

地区	综合效率	纯技术效率	规模效率	地区	综合效率	纯技术效率	规模效率
北京	0.090	0.587	0.153	湖南	0.035	0.212	0.164
天津	0.178	0.229	0.767	广东	0.098	0.840	0.115
河北	0.033	0.194	0.166	广西	0.054	0.185	0.293
山西	0.040	0.158	0.239	海南	0.041	0.055	0.745
内蒙古	0.030	0.097	0.379	重庆	0.055	0.149	0.372
辽宁	0.064	0.316	0.203	四川	0.059	0.458	0.125
吉林	0.038	0.105	0.358	贵州	0.064	0.151	0.406
黑龙江	0.039	0.132	0.296	云南	0.028	0.193	0.145
上海	0.326	0.604	0.541	西藏	0.011	0.011	0.970
江苏	0.079	0.729	0.105	陕西	0.034	0.166	0.190
浙江	0.049	0.542	0.090	甘肃	0.013	0.039	0.311
安徽	0.033	0.184	0.175	青海	0.012	0.012	0.999
福建	0.041	0.256	0.158	宁夏	0.010	0.010	0.990
江西	0.045	0.193	0.256	新疆	0.019	0.060	0.313
山东	0.056	0.463	0.122	均值	0.058	0.256	0.339
河南	0.073	0.361	0.197	最大	0.326	0.840	0.999
湖北	0.046	0.262	0.166	最小	0.010	0.010	0.090

t_i/t_i₊₁	综合效率水平类型				纯效率水平类型				规模效率水平类型
t_i/t_i₊₁	n	1	2	3	n	1	2	3	n	1	2	3
1	359	0.877	0.100	0.022	417	0.969	0.026	0.005	428	0.963	0.033	0.004
2	156	0.372	0.564	0.064	85	0.200	0.671	0.129	69	0.261	0.725	0.014
3	43	0.094	0.394	0.512	56	0.125	0.125	0.750	61	0.016	0.033	0.951

空间滞后	t_i/t_i₊₁	综合效率水平类型				纯技术效率水平类型				规模效率水平类型
空间滞后	t_i/t_i₊₁	n	1	2	3	n	1	2	3	n	1	2	3
1	1	51	0.627	0.314	0.059	96	0.958	0.042	0.000	3	1.000	0.000	0.000
	2	87	0.195	0.598	0.207	53	0.170	0.774	0.057	9	0.111	0.667	0.222
	3	42	0.046	0.335	0.619	49	0.000	0.102	0.898	60	0.000	0.067	0.933
2	1	37	0.865	0.135	0.000	125	0.952	0.032	0.016	70	0.914	0.071	0.014
	2	91	0.125	0.751	0.124	36	0.278	0.611	0.111	19	0.316	0.684	0.000
	3	52	0.019	0.231	0.750	37	0.054	0.081	0.865	55	0.018	0.000	0.982
3	1	59	0.662	0.203	0.135	108	0.972	0.019	0.009	163	0.865	0.135	0.000
	2	55	0.236	0.673	0.090	24	0.125	0.833	0.042	120	0.167	0.707	0.127
	3	84	0.083	0.071	0.845	30	0.033	0.067	0.900	59	0.000	0.254	0.746

变量	检验形式(C, T, K)	ADF统计值	p值	1%临界值	5%临界值	10%临界值	结论
lntotal	(C, N, 1)	-5.218	0.000	-2.708	-1.959	-1.607	平稳
lntech	(C, N, 1)	-4.517	0.000	-2.709	-1.963	-1.606	平稳
lnscale	(C, N, 1)	-4.068	0.000	-2.704	-1.959	-1.604	平稳
lnEC	(C, T, 2)	-5.118	0.000	-2.718	-1.965	-1.610	平稳
lnET	(C, N, 2)	-5.383	0.000	-2.728	-1.966	-1.605	平稳
lnSC	(C, T, 0)	-2.499	0.006	-2.700	-1.961	-1.612	平稳
lnCS	(C, T, 0)	-4.501	0.000	-2.707	-1.963	-1.621	平稳

类型	综合效率	纯技术效率	规模效率
区域及领域向上转移	区域Ⅰ：辽宁、吉林、河南、湖南、广东、广西、重庆、四川、贵州	区域Ⅳ：河北、山西、辽宁、江苏、浙江、安徽、江西、山东、河南、湖南、四川、贵州	区域Ⅶ：天津、吉林、黑龙江、海南
区域及领域向下转移	无	上海、北京	区域Ⅷ：内蒙古
平稳状态	区域Ⅱ：海南、西藏、青海、宁夏、新疆	区域Ⅴ：天津、吉林、黑龙江、广东、海南、重庆、西藏、陕西、甘肃、青海、宁夏、新疆	区域Ⅸ：北京、辽宁、上海、江苏、浙江、福建、山东、河南、湖北、广东、云南、西藏、甘肃、青海、宁夏、新疆
其他	区域Ⅲ：北京、天津、河北、山西、内蒙古、黑龙江、上海、江苏、浙江、安徽、福建、江西、山东、湖北、云南、陕西、甘肃	区域Ⅵ：内蒙古、福建、广西、湖北、云南	区域Ⅹ：河北、山西、安徽、江西、湖南、广西、重庆、四川、贵州、陕西

Spatiotemporal evolution of provincial tourism efficiency and its club convergence in the Chinese Mainland

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 10

References 36

Related Articles 15

Metrics

Comments

Recommended 0

区域组	LLC值	p值	结论	区域组	LLC值	p值	结论
区域Ⅰ	1.379	0.916	—	区域Ⅵ	0.557	0.711	—
区域Ⅱ	-0.149	0.441	I(0)	区域Ⅶ	-0.258	0.398	I(0)
区域Ⅲ	-0.150	0.441	I(0)	区域Ⅷ	-2.208	0.014	I(0)
区域Ⅳ	-0.516	0.303	I(0)	区域Ⅸ	-3.414	0.000	I(0)
区域Ⅴ	-1.237	0.108	I(0)	区域Ⅹ	-1.662	0.048	I(0)

[1]	CHEN Zhuo, LIANG Yi, JIN Fengjun. Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 183-193.
[2]	SUN Biao, YANG Shan. Economic spillover effects and convergence patterns of urban innovation input features in the Yangtze River Delta region [J]. PROGRESS IN GEOGRAPHY, 2021, 40(1): 147-160.
[3]	JIANG Wanbei, LIU Weidong, LIU Zhigao, HAN Mengyao. Inequality and driving forces of energy-related CO₂ emissions intensity in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1425-1435.
[4]	HUANG Yingze, QIU Bingwen, HE Yuhua, ZHANG Ke, ZOU Fengli. Optimal elevation interval of rice expansion in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1557-1564.
[5]	HU Guojian, LU Yuqi. Progress, thoughts, and prospect of urban network research based on enterprise perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1587-1596.
[6]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[7]	ZHU Shengjun, HUANG Yongyuan, HU Xiaohui. Research framework and prospect of industrial value chain upgrading and spatial upgrading based on a multiple scale perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1367-1384.
[8]	DU Xinru, LU Zi, LI Renjie, DONG Yaqing, GAO Wei. Estimation of time delay cost of hub airports in China, air routes effect and comparison with the United States [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1160-1171.
[9]	LIU Xiaopeng, CHENG Jing, ZHAO Xiaoyong, MIAO Hong, WEI Jingyi, ZENG Duan, MA Cunxia. Sustainable poverty reduction of China in a view of development geography [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 892-901.
[10]	ZHOU Guohua, ZHANG Rujiao, HE Yanhua, DAI Liuyan, ZHANG Li. Optimization of rural settlements and the governance of rural relative poverty [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 902-912.
[11]	TAN Xuelan, JIANG Lingxiao, WANG Zhenkai, AN Yue, CHEN Min, REN Hui. Rural poverty in China from the perspective of geography: Origin, progress, and prospect [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 913-923.
[12]	GUO Jianke, HOU Yajie, HE Yao. Characteristics of change of the China-Europe port shipping network under the Belt and Road Initiative [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 716-726.
[13]	SUN Na, ZHANG Meiqing. Network structure and evolution characteristics of cities in China based on high-speed railway transport flow [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 727-737.
[14]	DU Delin, WANG Jiaoe, WANG Yi. Market structure and competition of the three major airlines in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 367-376.
[15]	DUAN Qianwen, TAN Minghong. Temporal and spatial changes of urban forests in major cities in China and abroad [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 410-419.