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SYSTEMATIC REVIEW article

Front. Environ. Sci.
Sec. Land Use Dynamics
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1513998

Understanding the county-level relationship between population change and ecological environment quality dynamic in China, 2000-2020

Provisionally accepted
Mingxing Zhong Mingxing Zhong 1*Qingqing Liu Qingqing Liu 2Xinyue Hu Xinyue Hu 1
  • 1 Xinyang Normal University, Xinyang, China
  • 2 China University of Geosciences Wuhan, Wuhan, Hubei Province, China

The final, formatted version of the article will be published soon.

    Global population growth has increasingly intensified human interferences with natural ecosystems. These interferences often exhibit complexity and diversity characteristics.Understanding the relationship between population growth and environmental issues has become a focus in the current scientific community. This study, leveraging multisource remote sensing and census data from China for the years 2000, 2010, and 2020, utilized multiple spatial econometric models to investigate the pressure of population dynamics on Ecological Environment Quality (EEQ). A bivariate local spatial autocorrelation model was applied to pinpoint regions that experienced significant population pressure in China over the past two decades. Results showed that there was a rise in population density, with larger cities attracting more migrants to become residents and EEQ declining in most counties. The analysis revealed a strong spatial dependence between changes in EEQ and population. Spatial regression models were more effective than non-spatial models in explaining population pressure on EEQ.Population growth was significantly associated with EEQ decline. Based on the spatial regression model, EEQ decreased by 0.029% for every 1% increase in population from 2000 to 2010. During 2010-2020, this impact was more pronounced, with a 1% population associated with a 0.069% decline in EEQ. Pressure zones analysis showed the most widespread regions were unsustainable zones (decreases in population and EEQ), followed by areas with both population increases and EEQ declines, with fewer regions demonstrating coordinated development improvements. Effective solutions to address the challenges of population pressure on EEQ involve government regulation, strategic planning, cross-regional management, and the sharing of responsibilities and benefits.

    Keywords: Population stress, EEQ, spatial regression, population pressure zone identification, China

    Received: 25 Oct 2024; Accepted: 06 Jan 2025.

    Copyright: © 2025 Zhong, Liu and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mingxing Zhong, Xinyang Normal University, Xinyang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.