| 现代服务业发展水平评价体系的构建及时空分析 |
| Construction of the evaluation system for modern service industry development level and its spatiotemporal analysis |
| 摘要点击 57 全文点击 0 投稿时间：2025-05-30 修订日期：2025-10-27 |
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| 中文关键词 现代服务业; 全局因子分析; 熵权法; TOPSIS方法 |
| 英文关键词 modern service industry; global factor analysis; entropy weight method; TOPSIS method |
| 基金项目 国家重点研发计划资助项目 (2022YFF0903000); 江苏高校哲学社会科学研究重大资助项目(2025SJZD049) |
| 投稿方向 现代服务业 |
| 作者 | 单位 | 邮编 | | 田雅洁 | 中国科学院数学与系统科学研究院 | 100190 | | 李明琛 | 中国科学院数学与系统科学研究院 | | | 魏云捷* | 中国科学院数学与系统科学研究院 | 100190 |
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| 中文摘要 |
| 现代服务业是经贸摩擦和外部不确定性加剧背景下推动我国经济稳定与提升内生动力的关键力量. 对其发展水平进行科学评估与监测, 对于提升产业竞争力、引导政策制定、优化资源配置有重要意义. 基于国家统计局2023年发布的新分类标准, 选取与8个现代服务业子类相关的89个指标, 运用全局因子分析降维并结合熵权法与TOPSIS方法, 对2005--2020年中国八大经济区域代表性省份的现代服务业发展水平进行综合评价. 结果表明, 研究期间各地区综合发展水平稳步提升, 但内部差异仍显著. 东部地区长期保持领先, 中部和西部地区整体水平持续改善, 但发展基础相对薄弱, 提升潜力较大, 仍需政策引导与资源支持. 结果揭示了现代服务业区域发展的相对表现和动态趋势, 为政策制定、重点领域投资规划及可持续发展提供了实证依据. |
| 英文摘要 |
| Modern service is a crucial force in sustaining China's economic stability and strengthening endogenous momentum amid intensified trade frictions and growing external uncertainties. Scientific evaluation of its development level is essential for improving industrial competitiveness, guiding policy-making, and optimizing resource allocation. Based on the new classifications released by the National Bureau of Statistics in 2023, this study selects 89 indicators related to 8 subcategories of the modern service industry. A global factor analysis is employed for dimensionality reduction, combined with the entropy weight method and TOPSIS model, to evaluate the development level of the modern service industry in provinces across China's 8 major economic regions from 2005 to 2020. The results show that during the study period, the overall development level in all regions improved steadily, yet significant internal disparities remain. The eastern region has maintained a long-term lead, while the central and western regions have continued to improve but still face a relatively weak foundation, indicating substantial potential for growth and the need for policy support. The findings reveal the relative performance and dynamic trends of regional development in the modern service industry, providing empirical evidence for policy-making, strategic investment planning and sustainable development. |
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