潘癸邑, 陈闻君. 居民网络消费对企业全要素生产力的影响——基于中国消费品行业企业的经验研究J. 内江师范学院学报, 2026, 41(10): 88-99. DOI: 10.13603/j.cnki.51-1621/z.2026.10.011
    引用本文: 潘癸邑, 陈闻君. 居民网络消费对企业全要素生产力的影响——基于中国消费品行业企业的经验研究J. 内江师范学院学报, 2026, 41(10): 88-99. DOI: 10.13603/j.cnki.51-1621/z.2026.10.011
    PAN Guiyi, CHEN Wenjun. The impact of residents’ online consumption on enterprises’total factor productivity:empirical evidence from Chinese consumer goods industry enterprisesJ. Journal of Neijiang Normal University, 2026, 41(10): 88-99. DOI: 10.13603/j.cnki.51-1621/z.2026.10.011
    Citation: PAN Guiyi, CHEN Wenjun. The impact of residents’ online consumption on enterprises’total factor productivity:empirical evidence from Chinese consumer goods industry enterprisesJ. Journal of Neijiang Normal University, 2026, 41(10): 88-99. DOI: 10.13603/j.cnki.51-1621/z.2026.10.011

    居民网络消费对企业全要素生产力的影响——基于中国消费品行业企业的经验研究

    The impact of residents’ online consumption on enterprises’total factor productivity:empirical evidence from Chinese consumer goods industry enterprises

    • 摘要: 网络消费深度融入居民日常生活,显著改变消费行为并深刻影响企业生产运营.本文基于2015—2023年A股消费品行业上市公司数据,实证研究居民网络消费对企业全要素生产率的影响.研究采用双向固定效应面板模型作为基准回归,运用工具变量法与系统GMM处理内生性问题,并通过多种方式进行稳健性检验.进一步借助中介效应模型识别企业数字化转型与技术创新的机制作用,并利用门槛模型考察居民网络消费的非线性影响.此外,从企业产权性质、规模及区域物流效率等维度进行异质性分析.结果表明:居民网络消费显著提升了企业全要素生产率,该结论在控制内生性后依然成立;机制分析显示,技术创新与数字化转型起到部分中介作用;门槛效应表明,随着网络消费水平提高,其边际促进作用逐渐减弱;异质性方面,对非国有企业、规模较大企业及物流效率较高地区的提升效果更为明显.基于此,本文从增强居民网络消费能力、规范电商平台运营及提升企业数字化战略重视程度等方面提出政策建议.

       

      Abstract: Online consumption has become deeply integrated into residents’ daily lives, significantly altering consumption behaviors and profoundly influencing corporate production and operations. Based on data from A-share listed companies in the consumer goods industry from 2015 to 2023, this study empirically examines the impact of residents’ online consumption on enterprises’ total factor productivity (TFP). A two-way fixed effects panel model is employed as the baseline regression approach, while instrumental variable (IV) methods and system GMM are applied to address endogeneity concerns. Robustness tests are conducted through multiple approaches. Furthermore, a mediation effect model is utilized to identify the mechanisms of corporate digital transformation and technological innovation, and a threshold model is adopted to investigate the nonlinear effects of residents’ online consumption. Heterogeneity analyses are performed across dimensions such as ownership structure, firm size, and regional logistics efficiency. The results indicate that residents’ online consumption significantly enhances enterprises’ TFP, a finding that remains robust after controlling for endogeneity. Mechanism analysis reveals that technological innovation and digital transformation play partial mediating roles. Threshold effects suggest that as the level of online consumption increases, its marginal promoting effect gradually diminishes. Heterogeneity analysis shows that the enhancing effect is more pronounced for non-state-owned enterprises, larger firms, and regions with higher logistics efficiency. Based on these findings, this study proposes policy recommendations focusing on enhancing residents online consumption capacity, regulating e-commerce platform operations, and strengthening corporate emphasis on digital strategies.

       

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