Research on the Promotion Effect of the Marketization of Data Elements on the Digital Transformation of Manufacturing Enterprises: An Empirical Evaluation of a Multiperiod DID Model

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3199 - 3199

Published: April 3, 2025

The marketization of data elements is a critical step in harnessing the potential as “new” economic element. This process essential for driving digital transformation manufacturing enterprises and achieving sustainable development. Using from listed (2013–2022), this study applied difference-in-differences method to analyze how accelerates transformation. results indicated that trading platforms play significant role by lowering enterprise costs, easing financing constraints, fostering technology innovation, promoting growth service industry. impact varies across regions, ownership structures, executive backgrounds. research offers fresh insights into facilitating provides practical guidance policymakers advance market-oriented reform enhance enterprises’ capabilities.

Language: Английский

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How does data factor marketization influence urban carbon emission efficiency? A new method based on double machine learning

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106106 - 106106

Published: Dec. 1, 2024

Language: Английский

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Data Factor Marketization and Urban Industrial Land Use Efficiency: Evidence from the Establishment of Data Trading Platforms in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2753 - 2753

Published: March 20, 2025

Enhancing urban industrial land use efficiency (UILUE) is critical for addressing human–land conflicts and promoting sustainable development. However, the role of data trading in influencing UILUE remains insufficiently examined literature. This study explores effect factor marketization (DFM) on its underlying mechanisms. Using from 284 Chinese cities between 2006 2022, this treats establishment platforms as a quasi-natural experiment. A multi-period difference-in-differences (DID) model applied to evaluate causal impact DFM. The findings indicate that DFM significantly improves UILUE. improvement mainly occurs through technological innovation reduced resource misallocation. Furthermore, positive more pronounced with lower levels market segmentation, stricter environmental regulations, those located eastern region. offers valuable theoretical insights practical implications optimizing advancing

Language: Английский

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Analyzing the game pricing mechanism of data assets: Theoretical evidence considering market structure and competitive characteristics

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 104043 - 104043

Published: March 1, 2025

Language: Английский

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Data element marketization and corporate investment efficiency: Evidence from China

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104329 - 104329

Published: May 1, 2025

Language: Английский

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