Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening

The opening of public data is the government’s major strategic move to release the value of data factor. However, whether these data resources are used by the public to release their value needs to be empirically tested. Therefore, based on the perspective of high-quality development of firms, this...

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Main Authors: WU, Wuping, LI, Qiheng, ZHANG, Liuyi, ZHAO, Yue
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Language:Chinese
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/soa_research/2048
https://ink.library.smu.edu.sg/context/soa_research/article/3075/viewcontent/Gong_公共数据资源与企业全要素生产率_pvoa.pdf
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spelling sg-smu-ink.soa_research-30752024-07-25T07:08:17Z Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening WU, Wuping LI, Qiheng ZHANG, Liuyi ZHAO, Yue The opening of public data is the government’s major strategic move to release the value of data factor. However, whether these data resources are used by the public to release their value needs to be empirically tested. Therefore, based on the perspective of high-quality development of firms, this paper examines the relation between open public data and firms’ total factor productivity so as to reflect the value of public data resources in driving force of promoting firms’ high-quality development. Taking A-share listed firms from 2010 to 2019 as samples, using a natural experiment based on the launch of the local government data platform, and utilizing the staggered difference-in-differences model, this paper finds that as compared with their counterparts, firms located in provinces with their public data open have higher total factor productivity after the launch of public data platform, indicating that open public data resources can realize their value by promoting firms total factor productivity. The result holds after a variety of robustness tests. Mechanism tests reveal that the main regression effect is more pronounced for firms with managers’ greater demand for public data resources or stronger data processing capacity, or for firms with greater demand for public data resources to supervise firms. These results indicate that the promotion of total factor productivity is due to the decrease of information processing cost, which promotes the use of public data resources by internal and external stakeholders of firms. Further analyses show that the open public data reduce the operating expenses, earnings management and financing constraints of firms. This paper enriches the relevant researches on the economic consequence of public data resources and its mechanisms, provides theoretical support for the practice of open government data, and provides reliable causal evidence for the value of data resources. 2024-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/2048 info:doi/10.12011/SETP2023-0948 https://ink.library.smu.edu.sg/context/soa_research/article/3075/viewcontent/Gong_公共数据资源与企业全要素生产率_pvoa.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy chi Institutional Knowledge at Singapore Management University data factor high-quality development open government data public data resources total factor productivity Asian Studies Databases and Information Systems Public Administration
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language Chinese
topic data factor
high-quality development
open government data
public data resources
total factor productivity
Asian Studies
Databases and Information Systems
Public Administration
spellingShingle data factor
high-quality development
open government data
public data resources
total factor productivity
Asian Studies
Databases and Information Systems
Public Administration
WU, Wuping
LI, Qiheng
ZHANG, Liuyi
ZHAO, Yue
Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
description The opening of public data is the government’s major strategic move to release the value of data factor. However, whether these data resources are used by the public to release their value needs to be empirically tested. Therefore, based on the perspective of high-quality development of firms, this paper examines the relation between open public data and firms’ total factor productivity so as to reflect the value of public data resources in driving force of promoting firms’ high-quality development. Taking A-share listed firms from 2010 to 2019 as samples, using a natural experiment based on the launch of the local government data platform, and utilizing the staggered difference-in-differences model, this paper finds that as compared with their counterparts, firms located in provinces with their public data open have higher total factor productivity after the launch of public data platform, indicating that open public data resources can realize their value by promoting firms total factor productivity. The result holds after a variety of robustness tests. Mechanism tests reveal that the main regression effect is more pronounced for firms with managers’ greater demand for public data resources or stronger data processing capacity, or for firms with greater demand for public data resources to supervise firms. These results indicate that the promotion of total factor productivity is due to the decrease of information processing cost, which promotes the use of public data resources by internal and external stakeholders of firms. Further analyses show that the open public data reduce the operating expenses, earnings management and financing constraints of firms. This paper enriches the relevant researches on the economic consequence of public data resources and its mechanisms, provides theoretical support for the practice of open government data, and provides reliable causal evidence for the value of data resources.
format text
author WU, Wuping
LI, Qiheng
ZHANG, Liuyi
ZHAO, Yue
author_facet WU, Wuping
LI, Qiheng
ZHANG, Liuyi
ZHAO, Yue
author_sort WU, Wuping
title Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
title_short Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
title_full Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
title_fullStr Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
title_full_unstemmed Public data resources and total factor productivity of enterprises: A quasi-natural experiment based on local government data opening
title_sort public data resources and total factor productivity of enterprises: a quasi-natural experiment based on local government data opening
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/soa_research/2048
https://ink.library.smu.edu.sg/context/soa_research/article/3075/viewcontent/Gong_公共数据资源与企业全要素生产率_pvoa.pdf
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