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<p>Regional resource and environmental carrying capacity (<i>RECC</i>) is a crucial foundation for sustainable development. This paper analyzes the spatiotemporal evolution, geographical disparities, and contributing factors of Xuzhou’s RECC from 2011 to 2023, and projects its development trend by 2030. A comprehensive evaluation index system was developed, incorporating water resource development intensity and RECC, and using the entropy weight method, the Dagum Gini coefficient, Panel Vector Autoregression (PVAR), Monte Carlo simulation, and the Grey Wolf Optimizer-Support Vector Machine (GWO-SVM) for analysis. The findings indicate that Xuzhou's RECC had a variable upward trajectory with accelerated improvement post-2016; spatially, its capacity ranked as follows: Coordinated Development Zone &gt; Core Urban Area &gt; Revitalization Support Zone. Inter-regional disparities were the principal source of overall regional differences, accounting for 68.55% of the total regional disparities. The primary factors associated with were prioritized as the magnitude and intensity of water resource development, Ecological Buffer and Resilience Capacity, socio-economic pressure, water usage structure and efficiency, and resource base support capacity, all of which contribute comparably. The GWO-SVM model forecasts that by 2030, Pizhou and Xinyi county-level cities will reach the maximum level of RECC, while Feng County will remain at the lowest level. These findings establish a solid foundation for developing tailored methods to promote the coordinated and high-quality advancement of Xuzhou.</p>

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Analysis and prediction of variations in resource and environmental carrying capacity in Xuzhou utilizing panel PVAR and GWO-SVM models

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月28日

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  • Nan Jiang,
  • Junfeng Qu,
  • Min Tan,
  • Yuting Dai,
  • Ying Yang,
  • Wei Jing,
  • Yanzhi Wang,
  • Chongxiang Zhong,
  • Lei Zhou,
  • Zhipeng Zhou

摘要

Regional resource and environmental carrying capacity (RECC) is a crucial foundation for sustainable development. This paper analyzes the spatiotemporal evolution, geographical disparities, and contributing factors of Xuzhou’s RECC from 2011 to 2023, and projects its development trend by 2030. A comprehensive evaluation index system was developed, incorporating water resource development intensity and RECC, and using the entropy weight method, the Dagum Gini coefficient, Panel Vector Autoregression (PVAR), Monte Carlo simulation, and the Grey Wolf Optimizer-Support Vector Machine (GWO-SVM) for analysis. The findings indicate that Xuzhou's RECC had a variable upward trajectory with accelerated improvement post-2016; spatially, its capacity ranked as follows: Coordinated Development Zone > Core Urban Area > Revitalization Support Zone. Inter-regional disparities were the principal source of overall regional differences, accounting for 68.55% of the total regional disparities. The primary factors associated with were prioritized as the magnitude and intensity of water resource development, Ecological Buffer and Resilience Capacity, socio-economic pressure, water usage structure and efficiency, and resource base support capacity, all of which contribute comparably. The GWO-SVM model forecasts that by 2030, Pizhou and Xinyi county-level cities will reach the maximum level of RECC, while Feng County will remain at the lowest level. These findings establish a solid foundation for developing tailored methods to promote the coordinated and high-quality advancement of Xuzhou.