Big data and Sustainability: Exploring the role of data element allocation in enhancing corporate performance

Amid various environmental and social crises, addressing how to guide enterprises toward sustainable development effectively is imperative. Using the establishment of the National Big Data Comprehensive Experimental Zones (NBDC zones) as a quasi-natural experiment, this study explores the causal effect and mechanism of data element allocation (DEA) on corporate sustainability performance (SDP). Based on panel data from China’s listed manufacturing companies between 2010 and 2021 and employing difference-in-differences (DID) model, the findings reveal that data elements significantly enhance SDP, with notable heterogeneity across firms and regions. These conclusions remain robust after a series of robustness checks. Mechanism analysis indicates that data elements indirectly influence SDP by enhancing resource allocation capabilities and strengthening green innovation capacities. This research contributes to understanding how data elements improve SDP, providing policy insights for government agencies to leverage big data in advancing corporate sustainability.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-07-05
DOI
https://doi.org/10.1016/j.iref.2025.104402
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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article

Big data and Sustainability: Exploring the role of data element allocation in enhancing corporate performance

Yushu Lu, Zhengang Zhang, Gailei He
2 citations
International Review of Economics & Finance
Big Data and Business Intelligence
4.57
article

Big data and Sustainability: Exploring the role of data element allocation in enhancing corporate performance

Yushu Lu, Zhengang Zhang, Gailei He
article en
2 citations

Abstract

Amid various environmental and social crises, addressing how to guide enterprises toward sustainable development effectively is imperative. Using the establishment of the National Big Data Comprehensive Experimental Zones (NBDC zones) as a quasi-natural experiment, this study explores the causal effect and mechanism of data element allocation (DEA) on corporate sustainability performance (SDP). Based on panel data from China’s listed manufacturing companies between 2010 and 2021 and employing difference-in-differences (DID) model, the findings reveal that data elements significantly enhance SDP, with notable heterogeneity across firms and regions. These conclusions remain robust after a series of robustness checks. Mechanism analysis indicates that data elements indirectly influence SDP by enhancing resource allocation capabilities and strengthening green innovation capacities. This research contributes to understanding how data elements improve SDP, providing policy insights for government agencies to leverage big data in advancing corporate sustainability.

International Review of Economics & FinanceVol. 103
South China University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.57
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