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The research aims to investigate how data factor agglomeration influences enterprise new quality productivity.

August 2, 2026SustainabilityOpen Access

Research on the Impact of Data Factor Agglomeration in Enterprises on New Quality Productive Forces

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The research aims to investigate how data factor agglomeration influences enterprise new quality productivity.
Utilized a difference-in-differences (DID) framework with a panel dataset of Chinese A-share listed companies from 2010 to 2023.
Conducted robustness tests to confirm findings across various specifications.
Analyzed transmission pathways using mediation effect models.
Significant enhancement in enterprise new quality productivity due to data factor agglomeration; confirmed by robustness tests.
Identified core pathways: digital transformation, R&D innovation, and talent agglomeration.
Positive effects are more prominent in non-state-owned enterprises, firms over 20 years old, and those in eastern China.

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Randomized trial examines data factor agglomeration's effect on productivity in enterprises, highlighting implications for economic growth.

Qian et al. (2026) studied this question.

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Randomized trial examines data factor agglomeration's effect on productivity in enterprises, highlighting implications for economic growth.