School of Business, Changzhou University, Changzhou 213164, China.
Institute of Urban and Rural Civilization, Changzhou University, Changzhou 213164, China.
Int J Environ Res Public Health. 2022 Sep 14;19(18):11574. doi: 10.3390/ijerph191811574.
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.
甘肃省旅游资源丰富,是“铜奔马”的故乡,也是中国旅游的标志。但甘肃省旅游业的规模和收入仍处于较低水平。本文首先利用超效率 SBM 模型对 2011-2019 年甘肃省 14 个市州的旅游效率进行评价,然后利用全局 Malmquist-Luenberger(GML)指数及其分解对效率变化的内部驱动机制进行了研究,最后利用 Tobit 模型对旅游效率的外部影响因素进行了分析。结果表明:研究期间甘肃省旅游效率增长迅速,尤其是 2016 年后上升幅度加大。2011-2019 年,甘肃省旅游效率 GML 指数、技术进步(TC)和效率变化(EC)的累计变化分别为 5.053、4.145 和 1.160,说明甘肃省旅游效率的提高主要得益于技术进步。Tobit 模型回归结果显示,旅游产业地位、贸易开放度、信息化水平、技术创新水平均能显著促进该省旅游效率提升,产业结构升级和绿化覆盖率提高则抑制了旅游效率。而经济发展水平对甘肃省旅游效率的影响不明显。根据研究结果,本文提出了相应的建议,以促进甘肃省旅游业的发展。本研究对酒店、旅游和政策部门了解相关因素、促进甘肃省旅游业健康发展具有重要意义。