Evidence map›Paper›PMID 33567625›Full record

ArticleInternational journal of environmental research and public health2021

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

Yue Pan, Gangmin Weng, Conghui Li, Jianpu Li

Abstract read
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In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
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  7. Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Impacts of Environmental Regulations on Tourism Carbon Emissions.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yue PanSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.ORCID 0000-0001-5674-5958
Gangmin WengSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.
Conghui LiSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.
Jianpu LiSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CarbonTourismChinaEconomic DevelopmentIndustryCarbondriving factorsspatiotemporal evolutionternary coupling coordination modeltourism carbon emission efficiencytourism economytourism innovation

Identifiers

PMID33567625
PMCPMC7914973

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.