Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China

Zha, Jianping; He, Lamei; Yang, Liu; Shao, Yuhong

doi:10.1016/j.seps.2018.07.003

Cited by 73 publications

(56 citation statements)

References 54 publications

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“…Furthermore, being considered as the low-carbon industry [32], tourism activities contribute to the upgrade of industrial structures and the renewal of urban functions, which helps better air environment protection [33,34]. Cases from the regions characterized as the traditional manufacturing industry centers prove that tourism industry, as a new economy growth mode, contributes to restructuring of the urban functional structures and to the protection of the air environment [35,36].…”

Section: E Effects Of Tourism On Air Environmentmentioning

confidence: 99%

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Geng

Wei

Zhang

et al. 2020

Discrete Dynamics in Nature and Society

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The results show that the comprehensive development degree (CDD) of the tourism-air environment system mainly maintains stable with fluctuation and the gap among different reaches in the Zone is declining; the coupling coordination degree’s (CCD) tendency in most regions remains similar as in the previous decade. The results illustrate that the method combing information entropy weight and the technique for order preference by similarity to an ideal solution (IEW-TOPSIS), coupling coordination degree model (CCDM), and gray GM (1, 1) prediction model is effective in evaluating the coupling coordination relationship between the subsystems of tourism and air environment and in proposing specific countermeasures for tourism development and air environment governance.

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Section: E Effects Of Tourism On Air Environmentmentioning

confidence: 99%

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Geng

Wei

Zhang

et al. 2020

Discrete Dynamics in Nature and Society

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show abstract

“…In order to cope with global warming mainly caused by greenhouse gas emissions and with the environmental pollution, low-carbon economy has been recognized as a new and sustainable development pattern [ 3 , 8 ]. As a part of low-carbon economy, low-carbon tourism needs to reduce energy consumptions and carbon emissions as well as preserve the ecological environment [ 6 , 11 ]. Tourism scenic spots are important carriers of tourism activities and their low-carbon performances play crucial roles in the sustainable and green tourism development.…”

Section: A Case Study Of Evaluating Low-carbon Tourism Scenic Spotmentioning

confidence: 99%

“…They also predicted that with continuing the traditional tourism mode, the carbon emission caused by tourism industry would be increased by an annually average rate of 3.2% up to 2035. Zha et al [ 6 ] showed that the carbon emission of tourism in Hubei Province of China skyrocketed from 6,340,302 tons in 2007 to 23,939,851 tons in 2013. Sun [ 7 ] stressed that it is necessary to reduce the tourism carbon emission at a rate of at least 3% per year for eliminating dangerous climate change.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang [ 19 ] developed a triangular fuzzy Delphi-analytic network process model to evaluate regional low-carbon tourism strategies, and applied it to determine priority weights of low-carbon tourism strategies in China’s Chengguan District of Lhasa. Zha et al [ 6 ] used the data envelopment analysis method to evaluate the economic development efficiency of low-carbon tourism cities. Lin and Wang [ 20 ] proposed a group MCDM model with linguistic assessments and incomplete criterion weight information, and applied it in evaluating and ranking low-carbon tourism destinations.…”

Section: Introductionmentioning

confidence: 99%

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Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots

Yang

Wang

2020

IJERPH

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Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist activities and play a crucial role in low-carbon tourism. There are multiple factors affecting the low-carbon performance of a tourism scenic spot, and thus the performance evaluation and ranking of low-carbon tourism scenic spots can be framed as a hierarchical multi-criteria decision making (MCDM) problem. This paper develops a novel method to tackle hierarchical MCDM problems, in which the importance preferences of criteria over the decision goal and sub-criteria with respect to the upper-level criterion are provided by linguistic-term-based pairwise comparisons and the assessments of alternatives over each of sub-criteria at the lowest level are furnished by positive interval values. The linguistic-term-based pairwise comparison matrices are converted into intuitionistic fuzzy preference relations and an approach is developed to obtain the global importance weights of the lowest level sub-criteria. A multiplicatively normalized intuitionistic fuzzy decision matrix is established from the interval-value-based assessments of alternatives and a method is proposed to determine the intuitionistic fuzzy value based comprehensive scores of alternatives. A case study is offered to illustrate how to build a performance evaluation index system of low-carbon tourism scenic spots located at Zhejiang Province of China and show the use of the proposed intuitionistic fuzzy hierarchical MCDM method.

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“…Hubei Province enjoys a good industrial base, rich resource, and great development potential among the central provinces of China. It has an important strategic position in the overall pattern of our country's national economic development [24]. The construction of the GEDA evaluation system is conductive to exploring the advantages and disadvantages of the green development in Hubei Province, and to proposing targeted recommendations based on the research results.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Green Economic Development Abilities of Hubei Province in 2008-2018

Tian¹,

Chi²

2020

IJSDP

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The green economic development ability (GEDA) is crucial to long-term sustainable development. Based on the relevant data from 2008 to 2018, this paper sets up an evaluation index system of the GEDA, and uses the entropy method to evaluate and analyze the GEDAs of central China's Hubei Province in the sample period. The results show that the GEDA of Hubei Province improved significantly in the 11 years from 2008 to 2018; the resource and environment carrying capacity (RECC) contributed the greatest to the GEDA improvement, followed by economic greenness and policy support. However, the RECC index had clear oscillations in the sample period. As a result, Hubei Province should further strengthen the protection of resources and ecology, and raise concerns about the environment and climate change.

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Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China

Cited by 73 publications

References 54 publications

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots

Evaluation of Green Economic Development Abilities of Hubei Province in 2008-2018

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