The Asynchronous Phenomenon and Relative Efficiency of Tourism Resources in China Based on Panel Data for 31 Provinces from 2001 to 2009

方叶林,; 黄震方,; 张宏,; 彭倩,; 陆玮婷,

doi:10.5814/j.issn.1674-764x.2014.03.011

Cited by 2 publications

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“…Driven by the actual demand for China's tourism and inspired by international tourism research, the research on the tourism eco-efficiency in China has received increasing attention and achieved many results in recent years. On the one hand, research topics have been expanding, from a focus on tourist hotels [23] to various scopes such as the hotel industry [24] , travel agencies [25] , tourism transport [26] , tourism resources [27] , tourism environment [28] , and overall tourism development efficiency studies [29][30][31] . On the other hand, research methods have been innovated, and the traditional efficiency measurement models used in the early stages have been gradually improved, such as the SORM-BCC super-efficiency model [32] , DEA-MI model [33] , and modified DEA model [29] , Bootstrap-DEA model [34] , and three-stage DEA model [35] .…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal Evolution and Its Influencing Factors of Tourism Eco-efficiency in China

Liu

2022

j. of geogr. res.

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Eco-efficiency is an invaluable indicator for the measurement of the relationship between production activities and environmental depletion. This study measures the tourism eco-efficiency of 30 provinces in China from 2005 to 2020 based on the super-efficiency SBM model, and explores its spatial-temporal evolution characteristics using the kernel density function, standard deviation ellipse, and center of gravity model. Then, the influencing factors of the tourism eco-efficiency in China are analyzed by Tobit regression model. The results show that the tourism eco-efficiency of China is generally fluctuating upwards, but has not yet reached the maximum production possibility frontier. The kernel density curve shows a unimodal-bimodal-unimodal pattern, while the inter-provincial differences have been decreasing and becoming more balanced. The center of gravity of tourism eco-efficiency is located at the junction of Henan and Hubei province and generally moves to the south (slightly to the southwest). Meanwhile, it is revealed that the level of economic development and the tourism eco-efficiency has a significant inverted U-shaped relationship. The level of economic openness, traffic conditions, and tourism eco-efficiency is positively correlated. The environmental regulations and industrial structure have a negative but limited impact on tourism eco-efficiency. Finally, recommendations and suggestions for policy formulation to promote quality and sustainable development of the tourism industry are put forward, such as increasing investment in ecological protection and governance in tourism development, improving capacity-building in allocating green and low-carbon technologies and resources, strengthening tourism infrastructure construction, and enhancing environmental governance systems and mechanisms.

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Section: Introductionmentioning

confidence: 99%