Research on allocation efficiency of ecological tourism resources in Hunan Province

Zou Fuxia and Wang Bizhe ()
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Zou Fuxia: Hunan Women’s University
Wang Bizhe: Jinan University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 11, No 13, 12813-12832

Abstract: Abstract The exploration of approaches of efficiency improvement for the ecotourism resource allocation is conducive to the sustainable use of ecotourism resources and the high-quality development of the tourism industry. The unbalanced and inadequate utilization of ecological tourism resources in Hunan Province has seriously affected the resource allocation efficiency and sustainable utilization. In light of this, data in 2005‒2017 were adopted in this paper as the sample, and the input–output theory in economics was used as the basis to measure the ecological resource allocation efficiencies of Hunan Province’s four major tourism circles, as well as the tourism industries across 14 cities and prefectures within the extended HK model. In light of this, this study adopted as the sample the data of Hunan Province’s four major tourism circles, as well as the tourism industries across 14 cities and prefectures between 2005 and 2017. The ecological resource allocation efficiencies of these areas were then computed based on the economic input–output theory using the extended HK model. The results show that the degree of ecotourism resource mismatch varies from region to region in Hunan Province. In terms of potential TFP benefits, it can be divided into three levels: “high mismatch area,” “moderate mismatch area,” and “low mismatch area.” Among the four major regions, Daxiangxi region fell within the high mismatch region, Huandongting Lake and Daxiangnan regions within the moderate mismatch regions, whereas the Changzhutan region within the low mismatch region. Moreover, out of the 14 cities and prefectures, Yongzhou, Shaoyang, Xiangxizhou, Yiyang, and Loudi were high mismatch areas, whereas Zhuzhou, Huaihua, Chenzhou, Xiangtan, and Yueyang were moderately mismatched regions, and Hengyang, Zhangjiajie, Changde, and Changsha were low mismatch areas. From the above distribution, it could be observed that the higher the degree of resource misallocation was, the lower the allocation efficiency would be. Therefore, each region was suggested to optimize resource allocation and improve its efficiency from the perspective of marginal cost–benefit.

Keywords: Allocation for ecological tourism resources; Allocation efficiency for resources; Resources allocation; Resources mismatch (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-021-01965-1

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