International Review of Economics & Finance, Год журнала: 2024, Номер unknown, С. 103739 - 103739
Опубликована: Ноя. 1, 2024
Язык: Английский
Systems, Год журнала: 2025, Номер 13(2), С. 113 - 113
Опубликована: Фев. 12, 2025
The adoption of Industry 4.0 technologies supports the digital transformation production processes, making them more efficient. This study examines how infrastructure, skills, and use cloud influence labor productivity in European Union countries. Using econometric methods, including linear regressions fixed-effects panel regressions, analysis highlights important role skills play boosting productivity. It also identifies solutions as a catalyst for process efficiency, while widespread high-speed internet coverage connectivity smart systems. However, variations development infrastructure workforce readiness across EU member states present challenges to overall concludes that strategic investments automation along with improving workforce’s are essential key pillar economic competitiveness. By examining certain affect productivity, this research adds valuable insights specialized literature.
Язык: Английский
Процитировано
0
Economic Analysis and Policy, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
The economy strategy and practice, Год журнала: 2025, Номер 20(1), С. 19 - 30
Опубликована: Апрель 10, 2025
The present paper analyzed the impact of digital economy and innovations on Kazakhstan’s labor resource transformation from theoretical empirical perspectives. By means correlation analysis factors that were most significant for result variable - employed population in high-tech knowledge-intensive sectors determined (R2>0,8). However, revealed multicollinearity close linear relationship between all factors. In this regard, method statistical equations dependencies was applied further research. During study, a multifactorial equation calculated. Key socio-economic influencing employment determined. degree influence each factor Thus, level industries Kazakhstan is influenced by four key factors: share Internet users, indicator amounted to 38.28%; computer users – 28.27%; gross domestic product per capita 19.47%; internal expenditure research development work 11.69%. Taking into account fact innovation era today almost at very beginning its development, processes occurring economy, particular market, require monitoring in-depth timely management levers control their impact, only emphasizes relevance study.
Язык: Английский
Процитировано
0
Highlights in Business Economics and Management, Год журнала: 2025, Номер 52, С. 165 - 176
Опубликована: Март 25, 2025
To explore the different paths of regional digital transformation in China and understand its development mechanism, this paper employs Fuzzy-set Qualitative Comparative Analysis (fsQCA) method. It examines 21 prefectural-level cities (or municipalities) with national high-tech zones China's Yangtze River Delta (YRD) region using relevant data from 2022. The study investigates two aspects: labour factor element, based on six measures. finds that, firstly, none single antecedents is necessary for a high level transformation, but multi-factorial synergies can help achieve transformation. Secondly, after group analysis, there are five configurations to high-level which divided into four according characteristics core variables, namely, ‘talent development’ path, ‘digitalisation diversified economic base’ ‘public orientation’ ‘education life integration’ factor-oriented’ path path. Thirdly, robustness grouping tested by changing consistency threshold, still stable, indicating that results reliable. Unlike existing econometric studies focus impact factor, reveals multi-factor driving mechanism multi-path perspective. This provides new perspectives methods theoretical as well more targeted basis policymaking.
Язык: Английский
Процитировано
0
International Review of Economics & Finance, Год журнала: 2024, Номер unknown, С. 103739 - 103739
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
0