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<p>Digital infrastructure (DI) can mitigate specific shortcomings of traditional infrastructure, providing possible avenues for regions to attain common prosperity (CP) through integrated equity, efficiency, and environmental considerations. This research utilizes panel data from Chinese cities and the fixed-base range entropy weight method to evaluate CP levels across 285 cities from 2010 to 2022, focusing on three dimensions: high-quality development, sustainable development, and shared development. A double machine learning model is further utilized to examine the impact mechanisms of DI on CP. The empirical results demonstrate that DI significantly enhances CP, a finding robust to endogeneity tests and alternative specifications. Key mechanisms include improving fiscal sustainability, advancing industrial intelligence, and optimizing resource reallocation. Furthermore, the effects are amplified in cities with higher labor quality, advanced industrial structures, and dynamic innovation ecosystems. By providing empirical evidence on how DI facilitates balanced urban development, this paper contributes to policy design for reconciling environmental sustainability, economic efficiency, and social equity.</p>

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Can digital infrastructure facilitate a development model of common prosperity? — harmonizing equity, efficiency, and environment

  • 期刊论文

  • 发表日期：

    2026年3月25日

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  • Ming Chen,
  • Zhifan Wang,
  • Yajie Ji

摘要

Digital infrastructure (DI) can mitigate specific shortcomings of traditional infrastructure, providing possible avenues for regions to attain common prosperity (CP) through integrated equity, efficiency, and environmental considerations. This research utilizes panel data from Chinese cities and the fixed-base range entropy weight method to evaluate CP levels across 285 cities from 2010 to 2022, focusing on three dimensions: high-quality development, sustainable development, and shared development. A double machine learning model is further utilized to examine the impact mechanisms of DI on CP. The empirical results demonstrate that DI significantly enhances CP, a finding robust to endogeneity tests and alternative specifications. Key mechanisms include improving fiscal sustainability, advancing industrial intelligence, and optimizing resource reallocation. Furthermore, the effects are amplified in cities with higher labor quality, advanced industrial structures, and dynamic innovation ecosystems. By providing empirical evidence on how DI facilitates balanced urban development, this paper contributes to policy design for reconciling environmental sustainability, economic efficiency, and social equity.