Evidence map›Paper›PMID 35886736›Full record

ArticleInternational journal of environmental research and public health2022

Spatiotemporal Characteristics and Influencing Factors of Tourism-Urbanization-Technology-Ecological Environment on the Yunnan-Guizhou-Sichuan Region: An Uncoordinated Coupling Perspective.

Guangming Yang, Guofang Gong, Yao Luo, Yunrui Yang, Qingqing Gui

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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Guangming YangSchool of Management, Chongqing University of Technology, Chongqing 400054, China.ORCID 0000-0001-7527-5429
Guofang GongSchool of Management, Chongqing University of Technology, Chongqing 400054, China.
Yao LuoSchool of Management, Chongqing University of Technology, Chongqing 400054, China.
Yunrui YangSchool of Management, Chongqing University of Technology, Chongqing 400054, China.
Qingqing GuiSchool of Management, Chongqing University of Technology, Chongqing 400054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tourism, urbanization, technology, and the ecological environment both promote and restrict each other. Coordinating the relationship between the four is of great significance to the realization of high-quality sustainable regional development. Taking the Yunnan-Guizhou-Sichuan region as an example, this paper constructs an uncoordinated coupling model for the tourism-urbanization-technology-ecological environment system. Using exploratory spatial analysis and geographic information systems, this paper reveals the temporal and spatial evolution law affecting the uncoordinated coupling relationship between tourism, urbanization, technology and the ecological environment in the Yunnan-Guizhou-Sichuan region from 2010 to 2020, before establishing a panel Tobit model that is used to explore the factors affecting the four systems. The research shows the following: (1) The level of comprehensive development for tourism, urbanization, technology, and the ecological environment in Yunnan, Guizhou, and Sichuan has increased rapidly. Of all these, the tourism industry was the most affected by COVID-19 in 2020, while the level of urbanization, technology, and ecological environment developments in the three provinces has become similar over time. (2) Uncoordinated development between cities is a prominent problem; while the uncoordinated coupling spatial agglomeration in various regions is relatively stable, the proportion of cities with no significant agglomeration form amounts to more than 70%, with mostly low-low (L-L) and high-high (H-H) agglomeration types. (3) The degree to which uncoordinated coupling exists among the four systems in the Yunnan-Guizhou-Sichuan region is affected by many factors. Only eco-environmental pressure has a significant positive correlation with the degree of uncoordinated coupling, while the tourism scale, economic urbanization, eco-environmental response, and investment in technology have a significant negative correlation. These results provide a theoretical basis and practical references for strengthening the government's macro-control and promoting collaborative regional development.

Indexed as

COVID-19UrbanizationChinaCitiesEconomic DevelopmentHumansTechnologyTourisminfluencing factorsspatiotemporal characteristicsuncoordinated couplingYunnan–Guizhou–Sichuan region

Identifiers

PMID35886736
PMCPMC9319108

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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.