Spatiotemporal Evolution and Driving Factors of Tourism Eco-Efficiency: A Three-Stage Super-Efficiency SBM Approach

Bing Xie, Yanhua Yu (), Lin Zhang, Fazi Zhang, Layan Wei and Yuying Lin ()
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Bing Xie: School of Cultural, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Yanhua Yu: School of Cultural, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Lin Zhang: School of Cultural, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Fazi Zhang: School of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou 350117, China
Layan Wei: School of Cultural, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Yuying Lin: School of Cultural, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China

Sustainability, 2025, vol. 17, issue 16, 1-20

Abstract: Tourism ecological efficiency (TEE) is a significant indicator of the development level of green and intensive tourism. However, conventional directional and radial TEE measurement approaches overlook critical factors such as intermediate process influences and input–output slack variables, potentially leading to biased estimates. Urban areas are key to coordinating tourism across provinces, so accurately assessing the TEE is vital for sustainable regional tourism. This study uses an improved TEE measurement model to measure the TEE of the Guangdong–Fujian–Zhejiang (GFZ) coastal city clusters from 2010 to 2021. The improved TEE measurement model is a three-stage super-efficiency SBM approach. It then uses standard deviation ellipses and geographic detectors to analyze the TEE’s spatiotemporal characteristics and influencing factors. The findings indicate the following: (1) The three-stage super-efficiency SBM approach improves the accuracy and validity of measurement results by removing external environmental variables. (2) During the study period, the TEE values of the GFZ coastal city clusters were above average (except for Meizhou, where the efficiency improved). Temporally, the TEE values of 75% of the cities showed an increasing trend; spatially, the high-value areas increased significantly, the middle- and low-value areas decreased, and the center of gravity shifted to the north and south. (3) The years 2016–2021 saw an increase in external development factors and the use of external resources. The study’s findings can serve as scientific benchmarks for TEE measurement, as well as the low-carbon and environmentally friendly growth of tourism in urban agglomerations.

Keywords: tourism ecological efficiency; three-stage super-efficiency SBM approach; GFZ coastal city clusters; geographical detector (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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