The Tourism Eco-Efficiency Measurement and Its Influencing Factors in the Yellow River Basin

Wei Zhang, Ying Zhan (), Ruiyang Yin and Xunbo Yuan
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Wei Zhang: Business School, Shandong Normal University, Jinan 250358, China
Ying Zhan: Business School, Shandong Normal University, Jinan 250358, China
Ruiyang Yin: Business School, Shandong Normal University, Jinan 250358, China
Xunbo Yuan: Jinan Qinghui Ecological Engineering Co., Jinan 250001, China

Sustainability, 2022, vol. 14, issue 23, 1-14

Abstract: Tourism eco-efficiency is an essential indicator to measure the level of green and sustainable development of tourism. Based on the data of nine provinces in the Yellow River Basin, from 2011 to 2020, this article estimates the changes in tourism eco-efficiency in the Yellow River Basin and explores its internal drivers by establishing multiple input-output index systems using the Global Malmquist-Luenberger (GML) index method. Finally, a panel stochastic Tobit model was applied to identify the key external drivers of its eco-efficiency improvement. The analysis shows that with the continuous promotion of the Yellow River Basin’s high-quality development strategy and ecological civilization construction, the tourism eco-efficiency of the Yellow River Basin provinces has been improved in the past decade. Due to the obvious ecological advantages in the upper reaches of the Yellow River Basin and the high level of tourism promotion and economic development in the lower reaches, tourism ecological efficiency in the upstream and downstream areas is commonly higher than in the midstream areas. The improvement of efficiency is the internal core driver of regional tourism eco-efficiency, but the essence of eco-efficiency improvement lies in technological progress. In the analysis of the impact of external drivers on tourism eco-efficiency, tourism economy scale, tourism industry structure, technological innovation, and economic development are the crucial external factors to eco-efficiency enhancement. This work can serve as a guide for the high-level growth of regional tourism industry.

Keywords: eco-efficiency; Global Malmquist-Luenberger (GML) index; spatial differentiation; driving forces; regional tourism; Yellow River Basin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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