Evidence map›Paper›PMID 36901571›Full record

ArticleInternational journal of environmental research and public health2023

Research on the Evaluation and Spatial Characteristics of China's Provincial Socioeconomic Development and Pollution Control Based on the Lotka-Volterra Model.

Xue Zhou, Jiapeng Wang

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Xue ZhouSchool of Economics, Qingdao University, Qingdao 266071, China.
Jiapeng WangSchool of Economics, Qingdao University, Qingdao 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate the degree of mutualism between socioeconomic development and industrial and domestic pollution in provinces of China and to analyze the differences in spatial characteristics between their regions.

methodsThis study used the HDI to measure socioeconomic development and the Lotka-Volterra model to group and estimate the force-on and mutualism degree indexes of industrial and domestic pollution and socioeconomic development in 31 provinces of China, which were then used to them. Then, the study calculated the global and local Moran's

resultsThe research showed that in 2016-2020, compared with 2011-2015, the number of provinces where socioeconomic development and industrial pollution control mutually promoted each other was approximately the same, while the number of provinces that promoted each other's effectiveness with domestic pollution control was reduced. There were many provinces with industrial pollution ranked in the S-level, while most provinces placed a different emphasis on industrial and domestic pollution control. The rank in China tended to be spatially balanced in 2016-2020. There was a negative spatial autocorrelation between the ranks of most provinces and neighboring provinces in 2011-2020. The ranks of some eastern provinces showed a phenomenon of a high-high agglomeration, while the ranks of provinces in the western region were dominated by a high-low agglomeration.

Indexed as

Environmental PollutionIndustryChinaEconomic DevelopmentSocioeconomic FactorsSpatial Analysisdomestic pollutionindustrial pollutionLotka–Volterra modelsocioeconomic developmentspatial autocorrelationspatial heterogeneity

Identifiers

PMID36901571
PMCPMC10002352

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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.