Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation.

driving factors spatiotemporal evolution ternary coupling coordination model tourism carbon emission efficiency tourism economy tourism innovation

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
08 02 2021
Historique:
received: 18 01 2021
revised: 02 02 2021
accepted: 03 02 2021
entrez: 11 2 2021
pubmed: 12 2 2021
medline: 27 4 2021
Statut: epublish

Résumé

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

Identifiants

pubmed: 33567625
pii: ijerph18041601
doi: 10.3390/ijerph18041601
pmc: PMC7914973
pii:
doi:

Substances chimiques

Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

Environ Sci Pollut Res Int. 2019 May;26(13):13263-13274
pubmed: 30903472
Int J Environ Res Public Health. 2019 Sep 11;16(18):
pubmed: 31514367
Int J Environ Res Public Health. 2020 Jan 15;17(2):
pubmed: 31952175

Auteurs

Yue Pan (Y)

School of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

Gangmin Weng (G)

School of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

Conghui Li (C)

School of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

Jianpu Li (J)

School of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

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