Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A100189" target="_blank" >RIV/60460709:41110/24:100189 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TEM.2024.3380257" target="_blank" >https://doi.org/10.1109/TEM.2024.3380257</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TEM.2024.3380257" target="_blank" >10.1109/TEM.2024.3380257</a>
Alternative languages
Result language
angličtina
Original language name
Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing
Original language description
The research problem: In this article, we identify the hindering effect of industry monopolies and insufficient regulation on China's data asset market. We underscore the necessity for a robust, market-driven data-allocation mechanism to foster the country's digital economy and high-quality development. Motivation: The principal aim of this study is to analyze the catalytic role of government regulations and innovation subsidies in spurring innovation within digital firms, a crucial element in China's push for modernization and high-quality development. The investigation targets digital companies affected by regulatory measures, government institutions responsible for policy development, and policymakers and economists with vested interests in the digital economy and innovation. Adopted methodology: The study utilizes an evolutionary game analysis and fixed-effect regression, deploying a complex evolutionary game model to scrutinize innovation strategies amongst key industry players. The analysis is grounded in empirical data from key Chinese industry sectors over the past decade. Analyses: The findings reveal that government-led data regulation and subsidies, along with firms' cybersecurity measures, are instrumental in facilitating innovation. However, innovation costs and penalties stifle this progress. These insights provide actionable policy recommendations designed to invigorate digital innovation and propel economic advancement.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
ISSN
0018-9391
e-ISSN
0018-9391
Volume of the periodical
71
Issue of the periodical within the volume
2024
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
23
Pages from-to
7586-7608
UT code for WoS article
001200001200001
EID of the result in the Scopus database
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