Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Data Regulation and Data-Based Innovation in China: A Four-Group Game Model Using Empirical Testing

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

ISSN

0018-9391

e-ISSN

0018-9391

Svazek periodika

71

Číslo periodika v rámci svazku

2024

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

23

Strana od-do

7586-7608

Kód UT WoS článku

001200001200001

EID výsledku v databázi Scopus

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