收藏 ｜ 设为首页 广告服务 ｜ 联系我们 ｜ 在线留言
高级检索

干旱区地理 >

2023 , Vol. 46 >Issue 12: 2052 - 2060

DOI: https://doi.org/10.12118/j.issn.1000-6060.2023.157

区域发展

中国省域旅游效率时空演变特征及影响因素研究

  • 徐晓亮 ,
  • 黄丹 ,
  • 刘旭义 ,
  • 关靖云
展开
  • 新疆财经大学旅游学院，新疆 乌鲁木齐 830012
徐晓亮（1980-），男，博士，副研究员，主要从事旅游地理与区域发展研究. E-mail: xuxiaoliang@xjufe.edu.cn

收稿日期: 2023-04-07

  修回日期: 2023-05-16

  网络出版日期: 2024-01-05

基金资助

新疆维吾尔自治区社会科学基金项目(22VZX019);新疆财经大学高层次人才专项项目(2022XGC016)

收起

Spatiotemporal evolution characteristics and influencing factors of provincial tourism efficiency in China

  • Xiaoliang XU ,
  • Dan HUANG ,
  • Xuyi LIU ,
  • Jingyun GUAN
Expand
  • School of Tourism, Xinjiang University of Finance and Economics, Urumqi 830012, Xinjiang, China

Received date: 2023-04-07

  Revised date: 2023-05-16

  Online published: 2024-01-05

Fold

摘要

中国旅游业发展不平衡不充分的问题仍然突出，明晰旅游效率时空演变特征及其驱动力对于提高旅游效率，推动区域旅游业高质量发展具有重要意义。基于数据包络分析模型测评了2009—2019年31个省域（不含港澳台）的旅游业发展效率，采用空间自相关、冷热点分析和回归模型对中国省级单元旅游效率的时空演变特征及影响因素开展了分析。结果表明：（1） 2009—2019年中国旅游业效率整体呈现稳步上升趋势，各项效率水平在空间分布上差异明显，空间集聚特征逐渐强化，旅游增长方式正由粗放型向集约化发展转型。（2） 中国省域旅游业发展效率存在明显的空间正相关，旅游业发展效率的平均综合效率、平均纯技术效率与平均规模效率在局部空间上呈现“南热北冷”的空间格局。（3） 旅游业综合效率受旅游资源质量的正向驱动作用最强，纯技术效率主要受交通可达性的正向影响，而旅游业发展质量是规模效率的主要正向影响因素。（4） 丰富旅游产品业态、健全区域旅游合作机制、优化旅游产业结构等是提升中国省域旅游业发展效率的重要途径。研究结果可为制定区域旅游协同发展战略和实现旅游业高质量发展提供理论依据和实践范式。

关键词： 旅游效率; 数据包络分析; 空间分异; 影响因素; 省域尺度; 中国

本文引用格式

徐晓亮 , 黄丹 , 刘旭义 , 关靖云 . 中国省域旅游效率时空演变特征及影响因素研究[J]. 干旱区地理, 2023 , 46(12) : 2052 -2060 . DOI: 10.12118/j.issn.1000-6060.2023.157

Abstract

The issue of imbalanced and insufficient development in China’s tourism industry remains prominent. Clarifying the spatiotemporal evolution characteristics and driving forces of tourism efficiency is crucial for enhancing efficiency and promoting the high-quality development of regional tourism. Using the data envelopment analysis model, this study assesses the tourism development efficiency of 31 provinces (excluding Hong Kong, Macao, and Taiwan regions) from 2009 to 2019. It employs spatial autocorrelation, cold and hot spot analysis, and regression models to analyze the spatiotemporal evolution characteristics and factors influencing China’s provincial unit tourism efficiency. The research reveals the following: (1) Between 2009 and 2019, China’s tourism industry efficiency exhibited a steady upward trend. Significant differences in the spatial distribution of various efficiency levels were observed, with strengthening spatial agglomeration characteristics. The tourism growth mode is transitioning from extensive to intensive development. (2) There is a notable spatial positive correlation in the development efficiency of China’s provincial tourism industry. The average comprehensive efficiency, average pure technical efficiency, and average scale efficiency of tourism industry development exhibit a spatial pattern of “hot in the south and cold in the north” at the local level. (3) The comprehensive efficiency of the tourism industry is strongly influenced by the quality of tourism resources. Pure technical efficiency is primarily affected by the positive impact of transportation reachability, while the quality of tourism development is the main positive impact factor of scale efficiency. (4) Enriching tourism product formats, improving regional tourism cooperation mechanisms, and optimizing the tourism industry structure emerge as crucial strategies for enhancing the development efficiency of China’s provincial tourism industry. The research findings provide a theoretical basis and practical paradigm for formulating regional tourism collaborative development strategies and achieving the high-quality development of the tourism industry.

Key words： tourism efficiency; data envelopment analysis; spatial differentiation; influencing factors; provincial scale; China

参考文献

[1] 吴媛媛, 宋玉祥. 中国东北地区旅游业效率时空格局演变及驱动因素[J]. 地域研究与开发, 2019, 38(5): 85-90.
[1] [Wu Yuanyuan, Song Yuxiang. Spatio-temporal pattern evolution and driving factors of tourism efficiency in northeast China[J]. Areal Research and Development, 2019, 38(5): 85-90.]
[2] 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.
[2] [Liu Jia, Lu Ju, Liu Ning. Space-time evolution, influencing factors and forming mechanisms of tourism industry’s efficiency in China’s coastal areas of based on DEA-Malmquist model[J]. Resources Science, 2015, 37(12): 2381-2393.]
[3] Morey R C, Dittman D A. Evaluating a hotel GM’s performance: A case study in benchmarking[J]. The Cornell Hotel Restaurant and Administration Quarterly, 2003, 44(5-6): 53-59.
[4] 鄢慧丽, 王强, 熊浩, 等. 海南省少数民族地区旅游扶贫效率测度与时空演化分析[J]. 中国软科学, 2018(8): 63-76.
[4] [Yan Huili, Wang Qiang, Xiong Hao, et al. Research on the measurement of tourism poverty alleviation efficiency and its spatial-temporal evolution in Hainan’s ethnic minority areas[J]. China Soft Science, 2018(8): 63-76.]
[5] 王少华. 河南省旅游产业效率测度分解与时空演变[J]. 经济经纬, 2019, 36(3): 9-16.
[5] [Wang Shaohua. The efficiency measurement and decomposition and space-time evolution of tourism industry in Henan[J]. Economic Survey, 2019, 36(3): 9-16.]
[6] 王兆峰, 刘庆芳. 长江经济带旅游生态效率时空演变及其与旅游经济互动响应[J]. 自然资源学报, 2019, 34(9): 1945-1961.
[6] [Wang Zhaofeng, Liu Qingfang. The spatio-temporal evolution of tourism eco-efficiency in the Yangtze River Economic Belt and its interactive response with tourism economy[J]. Journal of Natural Resources, 2019, 34(9): 1945-1961.]
[7] Oliveira R, Pedro M I, Marques R C. Efficiency performance of the Algarve hotels using a revenue function[J]. International Journal of Hospitality Management, 2013, 35: 59-67.
[8] Hu J L, Chiu C N, Shieh H S, et al. A stochastic cost efficiency analysis of international tourist hotels in Taiwan[J]. International Journal of Hospitality Management, 2010, 29(1): 99-107.
[9] 刘建, 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.
[9] [Liu Jian, Liu Yu. Study on Hangzhou City tourism total factors productivity patterns and its influencing factors: 2006—2013[J]. Economic Geography, 2015, 35(7): 190-197.]
[10] Peng H, Zhang J, Lu L, et al. Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China[J]. Tourism Management, 2017, 60: 201-211.
[11] 王胜鹏, 冯娟, 谢双玉, 等. 中国旅游业发展效率时空分异及影响因素研究[J]. 华中师范大学学报(自然科学版), 2020, 54(2): 279-290.
[11] [Wang Shengpeng, Feng Juan, Xie Shuangyu, et al. Research on the temporal-spatial pattern of China’s tourism development efficiency and its factors[J]. Journal of Central China Normal University (Natural Science Edition), 2020, 54(2): 279-290.]
[12] 王兆峰, 杨显. 基于DEA-Malmquist模型的中部城市群旅游产业效率评价研究[J]. 旅游科学, 2018, 32(3): 27-38.
[12] [Wang Zhaofeng, Yang Xian. A study on the efficiency evaluation of tourism industry of urban agglomeration in central China: Based on DEA-Malmquist model[J]. Tourism Science, 2018, 32(3): 27-38.]
[13] 魏俊, 胡静, 朱磊, 等. 鄂皖两省旅游发展效率时空演化及影响机理[J]. 经济地理, 2018, 38(8): 187-195.
[13] [Wei Jun, Hu Jing, Zhu Lei, et al. Spatial-temporal differentiation and influencing mechanism of tourism development efficiency in Hubei Province and Anhui Province[J]. Economic Geography, 2018, 38(8): 187-195.]
[14] 余汝艺, 梁留科, 苏小燕, 等. 村域尺度旅游效率空间分异及形成机理——以洛阳市375个旅游村为例[J]. 自然资源学报, 2021, 36(4): 893-905.
[14] [Yu Ruyi, Liang Liuke, Su Xiaoyan, et al. Spatial differentiation and formation mechanism of tourism efficiency at village scale: A case study of 375 tourism villages in Luoyang[J]. Journal of Natural Resources, 2021, 36(4): 893-905.]
[15] 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[J]. 地理学报, 2012, 67(12): 1686-1697.
[15] [Cao Fangdong, Huang Zhenfang, Wu Jiang, et al. The relationship between tourism efficiency measure and location accessibility of Chinese national scenic areas[J]. Acta Geographica Sinica, 2012, 67(12): 1686-1697.]
[16] 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.
[16] [Zha Jianping, Qian Xingbao, Zhao Qianqian, et al. Estimation and decomposition of total factors productivity of China’s tourism[J]. Resources Science, 2018, 40(12): 2461-2474.]
[17] 时雨晴, 虞虎, 陈田, 等. 城市旅游效率演化阶段、特征及其空间分异效应: 以海南国际旅游岛为例[J]. 经济地理, 2015, 35(10): 202-209.
[17] [Shi Yuqing, Yu Hu, Chen Tian, et al. Evolution stages, characteristics and its spatial differentiation effects of urban tourism efficiency: A case study of Hainan international tourism island[J]. Economic Geography, 2015, 35(10): 202-209.]
[18] 方叶林, 黄震方, 李东和, 等. 中国省域旅游业发展效率测度及其时空演化[J]. 经济地理, 2015, 35(8): 189-195.
[18] [Fang Yelin, Huang Zhenfang, Li Donghe, et al. The measurement of Chinese provincial tourism developing efficiency and its spatio-temporal evolution[J]. Economic Geography, 2015, 35(8): 189-195.]
[19] 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.
[19] [Li Rui, Wu Dianting, Yin Hongmei, et al. 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.]
[20] 秦伟山, 张义丰, 李世泰. 中国东部沿海城市旅游发展的时空演变[J]. 地理研究, 2014, 33(10): 1956-1965.
[20] [Qin Weishan, Zhang Yifeng, Li Shitai. Study on the spatio-temporal evolution of coastal city tourism of China[J]. Geographical Research, 2014, 33(10): 1956-1965.]
[21] 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[J]. 人文地理, 2010, 25(1): 105-110, 99.
[21] [Ma Xiaolong, Bao Jigang. Regional differences and spatial patterns of the tourism efficiency in Chinese primary tourism cities[J]. Human Geography, 2010, 25(1): 105-110, 99.]
[22] 方叶林, 黄震方, 李经龙, 等. 中国省域旅游经济增长的时空跃迁及其趋同研究[J]. 地理科学, 2018, 38(10): 1616-1623.
[22] [Fang Yelin, Huang Zhenfang, Li Jinglong, et al. Space-time transition of tourism economic growth and its convergence in Chinese mainland[J]. Scientia Geographica Sinica, 2018, 38(10): 1616-1623.]
[23] 纪晓萌, 秦伟山, 李世泰, 等. 中国地级单元旅游业发展效率格局及影响因素[J]. 资源科学, 2021, 43(1): 185-196.
[23] [Ji Xiaomeng, Qin Weishan, Li Shitai, et al. Development efficiency of tourism and influencing factors in China’s prefectural-level administrative units[J]. Resources Science, 2021, 43(1): 185-196.]
[24] 魏权龄. 评价相对有效性的DEA方法——运筹学的新领域[M]. 北京: 中国人民大学出版社, 1998: 19-24.
[24] [Wei Quanling. DEA method for evaluating relative effectiveness: A new field of operations research[M]. Beijing: China Renmin University Press, 1998: 19-24.]
[25] 白洋, 胡静轩, 陈春燕, 等. 旅游援疆效率的区域差异和影响因素——基于三阶段DEA和Tobit模型[J]. 干旱区地理, 2023, 46(8): 1366-1375.
[25] [Bai Yang, Hu Jingxuan, Chen Chunyan, et al. Regional differences and influencing factors of efficiency of tourism aid for Xinjiang: Based on three-stage DEA and Tobit model[J]. Arid Land Geography, 2023, 46(8): 1366-1375.]
[26] 夏赞才, 邹泉, 罗文斌, 等. 中国省域旅游业效率时空演变分析[J]. 统计与决策, 2020, 36(8): 62-66.
[26] [Xia Zancai, Zou Quan, Luo Wenbin, et al. Spatio-temporal evolution of provincial tourism efficiency in China[J]. Statistics and Decision, 2020, 36(8): 62-66.]
Options
文章导航

/

〈 〉