A Dataset for Assessing and Predicting Resource and Environmental Carrying Capacity in Xuzhou City, China (2011-2023)

This dataset supports the research presented in the manuscript entitled "Analysis and Prediction of Resource and Environmental Carrying Capacity Differences in Xuzhou Based on Panel PVAR and GWO-SVM Models". It comprises a comprehensive panel dataset from 2011 to 2023 for Xuzhou City, Jiangsu Province, China, and its subordinate counties/districts, designed for evaluating the Resource and Environmental Carrying Capacity (RECC) and conducting predictive modeling.The data encompasses <b>27 indicators</b> across five core dimensions:<b>Water Resource Development Scale and Intensity:</b> Including water supply modulus, water consumption per 10,000 CNY GDP, and average groundwater depth.<b>Water Use Structure and Efficiency:</b> Including proportions of domestic, productive, and ecological water use, and effective irrigation coefficient of farmland.<b>Resource Base Supporting Capacity:</b> Including per capita water resources, annual precipitation, surface water resources, and water-land matching coefficient.<b>Ecological Environment Buffering Capacity:</b> Including compliance rate of water functional zones, forest and grass coverage, vegetation carbon sequestration, and soil erosion modulus.<b>Socio-Economic Pressure:</b> Including population density, urbanization rate, proportion of construction land, per capita GDP, etc.Data were compiled from authoritative sources such as the <i>Xuzhou Statistical Yearbook</i>, <i>Jiangsu Statistical Yearbook</i>, <i>Xuzhou Water Resources Bulletin</i>, MODIS satellite products (e.g., NPP), and the National Tibetan Plateau Data Center. The data has undergone rigorous cleaning and standardization procedures.This dataset is ideally suited for research in <b>spatiotemporal analysis, regional disparity decomposition (e.g., using the Dagum Gini coefficient), econometric modeling (e.g., Panel VAR), and machine learning prediction (e.g., SVM optimized by GWO)</b> concerning resource and environmental sustainability.<b>File Format:</b> Microsoft Excel (.xlsx)

本数据集用于支撑题为《基于面板向量自回归（Panel PVAR）与灰狼优化支持向量机（GWO-SVM）模型的徐州市资源环境承载力差异分析与预测》的学术手稿研究。本数据集涵盖中国江苏省徐州市及其下辖区县2011至2023年的完整面板数据，专为资源环境承载力（Resource and Environmental Carrying Capacity，RECC）评估与预测建模而搭建。

数据集包含覆盖五大核心维度的27项指标：
**水资源开发规模与强度（Water Resource Development Scale and Intensity）**：涵盖供水模数、万元GDP用水量、地下水埋深平均值；
**用水结构与效率（Water Use Structure and Efficiency）**：涵盖生活、生产、生态用水占比、农田有效灌溉系数；
**资源基础支撑能力（Resource Base Supporting Capacity）**：涵盖人均水资源量、年降水量、地表水资源量、水土匹配系数；
**生态环境缓冲能力（Ecological Environment Buffering Capacity）**：涵盖水功能区达标率、林草覆盖率、植被固碳量、土壤侵蚀模数；
**社会经济压力（Socio-Economic Pressure）**：涵盖人口密度、城镇化率、建设用地占比、人均GDP等。

本数据集数据源自《徐州统计年鉴》《江苏统计年鉴》《徐州水资源公报》、MODIS卫星产品（如净初级生产力（Net Primary Productivity，NPP））及国家青藏高原科学数据中心等权威渠道，并经过严格的清洗与标准化处理。

本数据集适配资源环境可持续性相关的多项研究方向，包括**时空分析、区域差异分解（如采用达古姆基尼系数（Dagum Gini coefficient））、计量经济建模（如面板向量自回归（Panel PVAR））与机器学习预测（如灰狼优化支持向量机（GWO-SVM））**。

**文件格式**：Microsoft Excel（.xlsx）