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数字经济推动共同富裕的差异化路径研究——基于模糊集定性比较分析(fsQCA)

Research on the Differentiated Pathways of the Digital Economy Promoting Common Prosperity——Based on Fuzzy Set Qualitative Comparative Analysis(fsQCA)
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摘要 数字经济在中国经济高质量发展中发挥着至关重要的作用。组态视角下探究数字经济推动共同富裕的差异化路径具有重大的现实意义。基于“互联网-数字交易-信息化”分析框架,以我国31个省份为案例样本,运用模糊集定性比较分析法(fsQCA),探讨数字经济驱动共同富裕的差异化组态路径,以揭示高共同富裕水平的生成模式与路径选择。研究表明:单一要素均无法单独构成高共同富裕发展水平的必要条件;存在四条驱动高共同富裕水平的组态路径,可以概括为单核心主导型和多元核心驱动型两种模式;存在三条产生非高共同富裕水平的组态,且与高共同富裕水平的组态存在非对称关系。 The digital economy plays a crucial role in the high-quality development of China's economy.Exploring the differentiated pathways through which the digital economy promotes common prosperity from a configuration perspective holds significant practical importance.This paper uses the"Internet-Digital Transactions-Informatization"analytical framework,taking 31 provinces in China as case samples.Utilizing fuzzy set qualitative comparative analysis(fsQCA),it examines the differentiated configuration pathways through which the digital economy drives common prosperity,aiming to reveal the models and pathways for achieving high levels of common prosperity.The study finds that no single factor alone can constitute a necessary condition for developing high levels of common prosperity.Four configuration pathways driving high levels of common prosperity were identified,which can be categorized into two modes:single-core dominant and plural-core driven.Additionally,three configurations were found that result in non-high levels of common prosperity,and these configurations exhibit an asymmetric relationship with those leading to high levels of common prosperity.
作者 王国新 孜百达木·吐合提亚尔 WANG Guo-xin;TUHETIYAER Zibaidamu(School of Public Administration,Xinjiang University of Finance and Economics,Urumqi 830011,China;School of Politics and Public Administration,Xinjiang University,Urumqi 830046,China)
出处 《兰州财经大学学报》 2024年第5期74-84,共11页 Journal of Lanzhou University of Finance and Economics
关键词 数字经济 共同富裕 模糊集定性比较分析 差异化路径 digital economy common prosperity fuzzy set qualitative comparative analysis differentiated pathways
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