何佳, 康超. 川南地区数字经济与新质生产力耦合协调分析[J]. 内江师范学院学报, 2025, 40(10): 81-90. DOI: 10.13603/j.cnki.51-1621/z.2025.10.011
    引用本文: 何佳, 康超. 川南地区数字经济与新质生产力耦合协调分析[J]. 内江师范学院学报, 2025, 40(10): 81-90. DOI: 10.13603/j.cnki.51-1621/z.2025.10.011
    HE Jia, KANG Chao. Coupling coordination analysis of digital economy and new quality productive forces in Southern Sichuan region[J]. Journal of Neijiang Normal University, 2025, 40(10): 81-90. DOI: 10.13603/j.cnki.51-1621/z.2025.10.011
    Citation: HE Jia, KANG Chao. Coupling coordination analysis of digital economy and new quality productive forces in Southern Sichuan region[J]. Journal of Neijiang Normal University, 2025, 40(10): 81-90. DOI: 10.13603/j.cnki.51-1621/z.2025.10.011

    川南地区数字经济与新质生产力耦合协调分析

    Coupling coordination analysis of digital economy and new quality productive forces in Southern Sichuan region

    • 摘要: 在国家推动数字经济与新质生产力发展的背景下,本文测度川南地区数字经济与新质生产力发展水平,研究区域包括宜宾市、泸州市、内江市和自贡市.构建包含数字经济的基础设施、产业发展、创新潜力、服务水平和生活水平的5个维度的评价体系,新质生产力的劳动者、劳动对象和劳动资料的3个维度的评价体系.采用熵值法与耦合协调模型对2014—2023年数据进行测度分析.研究发现,川南地区数字经济与新质生产力的耦合协调度显著提升.2014年耦合协调度D值为0.1,处于严重失调阶段;2023年达到0.992,进入优质协调阶段,表明两者已实现高度融合.四市发展水平差距较小,区域协调性较好,未出现两极分化.研究还发现,数字经济的快速发展得益于三个因素:政策支持、基础设施完善和企业数字化转型.新质生产力的提升则依赖于三大要素:科技创新、产业结构优化和人力资本投资.建议优化数字经济发展环境,深化产业数字化转型,推动新质生产力持续升级,实现更高质量经济增长.

       

      Abstract: Against the backdrop of national efforts to promote the development of the digital economy and new quality productive forces, this study measures the development levels of the digital economy and new quality productive forces in the southern Sichuan region, encompassing Yibin, Luzhou, Neijiang, and Zigong cities. An evaluation system was constructed, comprising five dimensions for the digital economy (infrastructure, industrial development, innovation potential, service level, and living standards) and three dimensions for new quality productive forces (laborers, subject of labor, and labor tools). Data from 2014 to 2023 were measured and analyzed using the entropy method and a coupling coordination model. The study finds a significant improvement in the coupling coordination degree between the digital economy and new quality productive forces in southern Sichuan. The coupling coordination degree (D value) was 0.1 in 2014, indicating severe maladjustment, but reached 0.992 by 2023, entering a stage of high-quality coordination. This demonstrates a high level of integration between the two. The development gap among the four cities is relatively small, indicating good regional coordination without polarization. The study also identifies three key drivers for the rapid development of the digital economy: policy support, infrastructure improvement, and enterprise digital transformation. Conversely, the enhancement of new quality productive forces relies on three major elements: technological innovation, industrial structure optimization, and human capital investment. Future recommendations include optimizing the digital economy development environment, deepening industrial digital transformation, promoting the continuous upgrading of new quality productive forces, and achieving higher-quality economic growth.

       

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