Impact Mechanism of Data Element Market Construction on Green Innovation in High-Carbon Industries

Lin Sun () and Jun Zeng
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Lin Sun: Shandong Vocational and Technical University of International Studies
Jun Zeng: Shandong Vocational and Technical University of International Studies

A chapter in Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), 2026, pp 306-315 from Springer

Abstract: Abstract This paper investigates how the construction of data element markets—represented by the establishment of local data trading platforms and supporting institutional rules—shapes green innovation in high-carbon industries. Using a firm-level panel of China’s listed firms in high-carbon sectors from 2011 to 2023, the paper employs a multi-period difference-in-differences design with two-way fixed effects to identify the policy effect. Results indicate that data element market construction significantly raises green innovation, with dynamic effects that strengthen after platform establishment and no evidence of pre-trends. Mechanism tests reveal that the policy works by lowering data search and compliance costs, accelerating digital transformation, and improving access to green finance and risk pricing. Heterogeneity analyses show stronger effects among non-state-owned firms and in regions with stricter environmental regulation. A set of robustness checks—including alternative measurements, sample trimming, and randomized adoption placebos—supports the main findings. The paper provides actionable implications for building interoperable data trading infrastructures and aligning data governance with low-carbon industrial upgrading.

Keywords: data element market; data trading platform; high-carbon industries; green innovation; digital transformation; green finance; difference-in-differences (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-640-1_29

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