Data-Factor Marketization and the Efficiency of Urban Innovation Conversion
A Quasi-natural Experiment Based on the Establishment of Data Trading Platforms
- DOI
- 10.2991/978-94-6239-830-6_12How to use a DOI?
- Keywords
- data-factor marketization; data trading platforms; innovation conversion efficiency; invention patents; staggered difference-in-differences
- Abstract
Using panel data for Chinese prefecture-level and above cities from 2010 to 2022, this paper treats the establishment of data trading platforms as a quasi-natural experiment and estimates a staggered difference-in-differences model. The reform does not significantly expand patent applications or alter patent-type structure, but it raises lagged invention-patent grant-conversion ratios. The result survives additional controls, endogeneity checks, parallel-trend and placebo tests, alternative definitions, wild-cluster bootstrap inference, and leave-one-province-out tests. Effects are stronger in cities with severe pre-policy conversion bottlenecks and are consistent with an information-matching channel proxied by digital finance. Data-factor marketization therefore appears to improve the conversion of higher-threshold applications into granted innovation outputs rather than simply increasing filing volume.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Manfei Zhu PY - 2026 DA - 2026/11/14 TI - Data-Factor Marketization and the Efficiency of Urban Innovation Conversion BT - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026) PB - Atlantis Press SP - 143 EP - 155 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-830-6_12 DO - 10.2991/978-94-6239-830-6_12 ID - Zhu2026 ER -