上海大学学报(社会科学版) ›› 2026, Vol. 43 ›› Issue (1): 97-113.

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中国特色赋能型共同富裕道路— —理论框架与评价体系

  

  1. 黄 先 海,朱 佳 纯  ,宋 学 印  :浙江大学 经济学院

    王毅:浙江大学 长三角智慧绿洲创新中心

  • 出版日期:2026-01-15 发布日期:2026-02-12
  • 作者简介:黄先海,浙江大学经济学院教授、博士生导师。研究方向:国际经济学、发展经济学。
    朱佳纯,浙江大学经济学院博士研究生。研究方向:国际经济学。
    宋学印,浙江大学经济学院副教授、博士生导师。研究方向:内生增长理论、公共服务与收入分布。
    王毅,浙江大学长三角智慧绿洲创新中心副研究员。研究方向:国际经济学。
  • 基金资助:

    国家重点研发计划项目(2022YFF0902000);

    中央高校基本科研业务费专项资金资助项目(2024QZJH63)

The Path of Empowering Common Prosperity with Chinese Characteristics: Theoretical Framework and Quantitative Methods

  1. HUANG Xianhai  , ZHU Jiachun  , SONG Xueyin:School of economics, Zhejiang University, Hangzhou 310058, China; 

    WANG Yi :Yangtze River Delta Integration Development Research Center, Zhejiang University

  • Online:2026-01-15 Published:2026-02-12

摘要: 共同富裕是世界性难题,困境在于增长与共享、公平与效率的有机统一。具有中国特色的赋能型共同富裕理论,即旨在中立赋能经济主体发展机会与能力为核心的共同富裕理论,该理论内嵌三大层次,目前受到关注的收入增长及分配差距只是表层结果,人力资本垂直增长水平与横向分布结构是决定共同富裕水平及演化的中间层力量,旨在促进以人力资本发展机会和条件增进为核心的优质普惠公共服务是底层因素。优质普惠赋能型公共服务,具有社会人力资本均值提升与分布优化的二重效应。在此理论的基础上,通过密集使用高保真大数据,综合机器学习、轨迹解析等方法,可构建出赋能型共同富裕的定量评价体系。

关键词: 公共服务, 人力资本, 经济增长, 共同富裕

Abstract: Common prosperity is a global challenge that hinges on the organic unity of growth and sharing,as well as fairness and efficiency. This article proposes a theory of“empowering common prosperity”with Chinese characteristics, which centers on impartially empowering economic entities with development opportunities and capabilities. This theoretical framework operates at three levels: First, income growth and distribution gaps, though widely discussed, are merely surface-level outcomes. Second, the vertical growth and horizontal distribution of human capital act as intermediate drivers determining the level and evolution of common prosperity. Third, high-quality and inclusive public services that foster conditions for human capital development constitute the underlying foundation. Such services exert a dual effect: increasing the aggregate value of societal human capital and optimizing its distribution. Furthermore, this study constructs a quantitative evaluation system for empowering common prosperity by leveraging high-fidelity big data and integrating methods such as machine learning and trajectory analysis.

Key words: public services, human capital, economic growth, common prosperity

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