|Table of Contents|

The Effect of Tourism Specialization Level on Tourism TotalFactor Productivity in Yangtze River Delta Cities(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2021年01期
Page:
57-63
Research Field:
·地理学·
Publishing date:

Info

Title:
The Effect of Tourism Specialization Level on Tourism TotalFactor Productivity in Yangtze River Delta Cities
Author(s):
Qin Dongli1; Ding Zhengshan1; Hu Meijuan2; Guo Xiangyang1
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.School of Tourism and Cuisine,Yangzhou University,Yangzhou 225009,China)
Keywords:
tourism specialization level; tourism total factor productivity; effect; Yangtze River Delta
PACS:
F592
DOI:
10.3969/j.issn.1001-4616.2021.01.009
Abstract:
Using DEA-Malmquist index model,GIS spatial analysis method and GMM dynamic panel regression model,the paper explores the effect of tourism specialization level on tourism total factor productivity in Yangtze River Delta Cities. The results are listed as follows. Firstly,from 2001 to 2017,tourism specialization level in Yangtze River Delta Cities has been promoted from the“inverted mountain”pattern of low-value agglomeration to the spatial pattern of“high in the south and low in the north”,while tourism total factor productivity has been promoted from the“in”pattern of negative growth to the“equilibrium”state of positive promotion. Secondly,the regression results of dynamic panel show that the relationship between tourism specialization level and tourism total factor productivity is obviously inverted“U”curve,and the inflection point of the inverted“U”curve is 4.89. Thirdly,when the level of overall economy,transportation,informatization and industrial structure improves,tourism total factor productivity gets promoted,whereas when the level of endowment of tourism resources,marketization and urbanization improved,tourism total factor productivity will not raise.

References:

[1] 戴斌,张进福,马仪亮,等. 中国旅游发展笔谈:品质旅游[J]. 旅游学刊,2018,33(12):1-14.
[2]查建平,钱醒豹,赵倩倩,等. 中国旅游全要素生产率及其分解研究[J]. 资源科学,2018,40(12):2461-2474.
[3]ASSAF A G,TSIONAS M. The estimation and decomposition of tourism productivity[J]. Tourism management,2018,39(4):131-142.
[4]RAMON F. Efficiency of travel agencies:a case study of Alicante,Spain[J]. Tourism management,2011,32(7):75-87.
[5]ASSAF A G,JOSIASSEN A. Frontier analysis a state-of-the-art review and meta-analysis[J]. Journal of travel research,2015,55(5):612-627.
[6]GEORGE A,MIKE T. Measuring hotel performance:toward more rigorous evidence in both scope and methods[J]. Tourism management,2018,39(5):69-87.
[7]HISAMITSU S. Seasonality and regional productivity in the Spanish accommodation sector[J]. Tourism management,2018,39(8):180-188.
[8]ASSAF A G,DWYER L. Benchmarking international tourism destinations[J]. Tourism economics,2013,19(6):1233-1247.
[9]CHATZIMICHAEL K,LIASIDOU S. A parametric decomposition of hotel-sector productivity growth[J]. International journal of hospitality management,2019,76(5):206-215.
[10]MA X L,BAO J G,RYAN C. uating the total factor productivity growth of national parks in China with data enveloped analysis[J]. Asia pacific journal of tourism research,2009,14(4):385-402.
[11]郭悦,钟廷勇,安烨. 产业集聚对旅游业全要素生产率的影响:基于中国旅游业省级面板数据的实证研究[J]. 旅游学刊,2015,30(5):14-22.
[12]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.
[13]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.
[14]王松茂,邓峰,瓦哈甫·哈力克. 新疆旅游产业全要素生产率的时空演变[J]. 经济地理,2016,36(5):202-207.
[15]刘建国,刘宇. 2006—2013年杭州城市旅游全要素生产率格局及影响因素[J]. 经济地理,2015,35(7):190-197.



[16]邓涛涛,刘璧如,马木兰. 旅游产业依赖与全要素生产率增长:基于“资源诅咒”假说的检验[J]. 旅游科学,2019,33(1):1-17.

[17]申鹏鹏,周年兴,张允翔,等. 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,2018,27(1):53-62.
[18]LANZA A,PIGLIARU F. Why are tourism countries small and fast growing?[J]. Tourism and sustainable economic development,2000,10(2):57-69.
[19]JULIE J. Developing regional tourism in China:the potential for activating business clusters in a socialist market economy[J]. Tourism management,2006,27(4):695-706.
[20]CANINA L,ENZ C,HARRISON J S. Agglomeration effects and strategic orientations:evidence from the US logding industry[J]. Academy of management journal,2005,48(4):565-581.
[21]YANG Y. Agglomeration density and tourism development in China:an empericial research based on dynamic panel data model[J]. Tourism management,2012,33(10):1347-1359.
[22]刘佳,赵金金. 中国旅游产业集聚与旅游经济增长关系的空间计量研究[J]. 经济地理,2013,33(4):186-192.
[23]王凯,易静,肖燕,等. 中国旅游产业集聚与产业效率的关系研究[J]. 人文地理,2016,31(2):120-127.
[24]ADAMOU A,CLERIDES S. Prospects and limits of tourism-led growth:the international evidence[J]. Review of economic analysis,2010,2(3):287-303.
[25]PO W C,HUANG B N. Tourism development and economic growth,a nonlinear approach[J]. Phisica section A,2008,387(22):5535-5542.
[26]左冰. 旅游能打破资源诅咒吗:基于中国31个省(市、区)的比较研究[J]. 商业经济与管理,2013,32(5):60-68.
[27]毕学成,谷人旭,苏勤. 制造业区域产业专业化、竞合关系与分工:基于江苏省市域面板数据的计量分析[J]. 长江流域资源与环境,2018,27(10):2201-2213.
[28]贺灿飞,朱晟君. 制造业地理集聚的区域差异研究:江苏和安徽对比研究[J]. 地理科学,2008,28(6):715-721.
[29]石枕. 怎样理解和计算“全要素生产率”的增长:一个具体技术经济问题的计量分析[J]. 数量经济技术经济研究,1988,25(12):68-71.
[30]RAY S C,DSELI C. Productivity growth,technical progress,and efficiency change in industrialized countries:comment[J]. The American economic review,1997,87(5):1033-1039.
[31]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.
[32]徐冬,黄震方,胡小海,等. 浙江省县域旅游效率空间格局演变及其影响因素[J]. 经济地理,2018,38(5):197-207.
[33]李瑞,吴殿廷,殷红梅,等. 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.
[34]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.
[35]申玉铭,邱灵,任旺兵,等. 中国服务业空间差异的影响因素与空间分异特征[J]. 地理研究,2007,26(6):1255-1264.
[36]曹芳东,黄震方,余凤龙,等. 国家级风景名胜区旅游效率空间格局动态演化及其驱动机制[J]. 地理研究,2014,33(6):1151-1166.
[37]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.

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Last Update: 2021-03-15