Literature DB >> 36141852

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China.

Dan Xue1, Xianzong Li2, Fayyaz Ahmad3, Nabila Abid4, Zulqarnain Mushtaq5.   

Abstract

Gansu Province is rich in tourism resources, and it is the hometown of the "copper galloping horse", which is the logo of China's tourism. However, the scale and revenues of tourism in Gansu province are still at a low level. This paper first evaluated the tourism efficiency of 14 cities and prefectures of Gansu Province in China from 2011 to 2019 using the super-slack-based measure (Super-SBM) and then investigated the internal driving mechanism of the efficiency change through the Global Malmquist-Luenberger (GML) index and its decomposition, and finally analyzed the external influencing elements of tourist efficiency by the Tobit model. The results revealed that the tourism efficiency of Gansu Province had increased rapidly during the study period, especially after 2016, the rising range increased. From 2011 to 2019, the cumulative changes in GML index, technological change (TC), and efficiency change (EC) of tourism efficiency in Gansu Province were 5.053, 4.145 and 1.160, respectively, indicating that the improvement of tourism efficiency in Gansu province is mainly due to technological progress. The regression results of the Tobit model show that the status of the tourism industry, trade openness, information level, and technological innovation level can significantly promote tourism efficiency in the province. At the same time, upgrading the industrial structure and the improvement of greening coverage inhibit tourism efficiency. However, the impact of the economic development level on the tourism efficiency of Gansu Province is not apparent. According to the research results, this paper puts forward corresponding suggestions to promote the development of tourism in Gansu Province. This study is crucial for hospitality, tourism, and policy sectors to understand the underlying factors and promote the healthy development of the tourism industry in Gansu Province.

Entities:  

Keywords:  Gansu Province; Super-SBM; Tobit model; influencing factors; tourism efficiency

Mesh:

Substances:

Year:  2022        PMID: 36141852      PMCID: PMC9517015          DOI: 10.3390/ijerph191811574

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   4.614


  4 in total

1.  Does China's carbon emission trading policy improve regional energy efficiency?-an analysis based on quasi-experimental and policy spillover effects.

Authors:  Xue-Mei Zhang; Fei-Fei Lu; Dan Xue
Journal:  Environ Sci Pollut Res Int       Date:  2021-11-09       Impact factor: 4.223

2.  A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model.

Authors:  Jianchun Yang; Ying Wu; Jialian Wang; Chengcheng Wan; Qian Wu
Journal:  Front Psychol       Date:  2021-04-12

3.  Evaluation of Tourism Development Efficiency and Spatial Spillover Effect Based on EBM Model: The Case of Hainan Island, China.

Authors:  Pengfei Zhang; Hu Yu; Mingzhe Shen; Wei Guo
Journal:  Int J Environ Res Public Health       Date:  2022-03-22       Impact factor: 3.390

4.  Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration.

Authors:  Yiyang Sun; Guolin Hou
Journal:  Int J Environ Res Public Health       Date:  2021-03-04       Impact factor: 3.390

  4 in total

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