A study of the impact of big data policies on total factor productivity of manufacturing enterprises: A quasi-natural experiment of the National Big Data Comprehensive Pilot Area

Tu Jian; Peng Jiangqin; Hu Beibei

doi:10.19571/j.cnki.1000-2995.2026.10.006

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Science Research Management ›› 2026, Vol. 47 ›› Issue (10) : 52-61. DOI: 10.19571/j.cnki.1000-2995.2026.10.006 CSTR: 32148.14.kygl.2026.10.006

A study of the impact of big data policies on total factor productivity of manufacturing enterprises: A quasi-natural experiment of the National Big Data Comprehensive Pilot Area

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Abstract

Based on data from Chinese manufacturing listed companies from 2010 to 2023, this study takes the establishment of the National Big Data Comprehensive Pilot Zone as a quasi-natural experiment and employs a multi-period difference-in-differences model to empirically analyze the effects of big data policies on the total factor productivity (TFP) of manufacturing firms, including their impact mechanisms and heterogeneity across different types of enterprises. The findings indicate that big data policies significantly and effectively promote the improvement of TFP in manufacturing firms. Mechanism tests reveal that big data policies enhance TFP by strengthening internal control and management efficiency, intensifying market competition, and improving supply chain resilience. Heterogeneity analysis shows that the promoting effect of big data policies on TFP is more pronounced in state-owned enterprises and non-regulated industries. Additionally, the policies significantly boost TFP in enterprises located in the eastern and central regions, while their impact on firms in the western region is not significant. The research conclusions provide decision-making support for the government in promoting corporate digital transformation and facilitating high-quality economic development.

Key words

big data policy / manufacturing enterprises / total factor productivity / National Big Data Comprehensive Pilot Zone / multi-period difference-in-differences model

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Tu Jian , Peng Jiangqin , Hu Beibei. A study of the impact of big data policies on total factor productivity of manufacturing enterprises: A quasi-natural experiment of the National Big Data Comprehensive Pilot Area[J]. Science Research Management. 2026, 47(10): 52-61 https://doi.org/10.19571/j.cnki.1000-2995.2026.10.006

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