Evidence map›Paper›PMID 31514367›Full record

ArticleInternational journal of environmental research and public health2019

Nonlinear and Spatial Effects of Tourism on Carbon Emissions in China: A Spatial Econometric Approach.

Chao Bi, Jingjing Zeng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impacts of Environmental Regulations on Tourism Carbon Emissions.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Spatial effects of carbon emission intensity and regional development in China.Environmental science and pollution research international · 2021
    Article
  10. Article
  11. LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China's Tourist Industry.International journal of environmental research and public health · 2021
    Article
  12. 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

2 authors.

Chao BiInternational Business School, Shaanxi Normal University, Xi'an 710119, China. bichao@snnu.edu.cn.ORCID 0000-0002-9441-3409
Jingjing ZengSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China. jjzeng@zuel.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing carbon emissions is crucial to the sustainable development of tourism. However, there are no consistent conclusions about the nexus between tourism and carbon emissions. Considering the possible nonlinear and spatial effects of tourism on carbon emissions, this paper employed spatial econometric models combined with quadratic terms of explanatory variables to explore the nexus between them using Chinese provincial panel data from 2003 to 2016. The main results are as follows: (1) There is a significant inverse U-shaped relationship between tourism development and carbon emissions. In the provinces whose tourism receipts are relatively low, the effects of tourism on carbon emissions are positive but decrease gradually as the tourism receipts increase and then shifts to negative and continues decreasing gradually when the tourism receipts beyond the critical value. (2) For the geographical proximity and industrial relevance, one province's tourism development not only affects its carbon emissions but also affects its neighbors' carbon emissions through spatial lag effect (indirect effect) which is also inverse U-shaped. (3) Carbon reduction policies, sustainable education, and transportation infrastructure all have significant moderating effects on the relationship between tourism and carbon emissions, but the moderating effect of the management efficiency of tourism is not statistically significant. Furthermore, improvements to the sustainable education and transportation infrastructure not only strengthen the direct negative effect of tourism on carbon emissions but also strengthen the indirect negative effect of tourism on carbon emissions. This study not only advances the existing literature but is also of considerable interest to policymakers.

Indexed as

CarbonCarbon DioxideModels, EconometricTravelAir PollutionChinaIndustryTransportationVehicle EmissionsCarbonCarbon DioxideVehicle Emissionscarbon emissionsnonlinear effectsspatial econometric approachspatial lag effectstourism industry

Identifiers

PMID31514367
PMCPMC6765919

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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.