Rozana Veselica Celić
Biographic Data
| ID | 6882789 |
|---|---|
| NAME | Rozana Veselica Celić |
| GIVEN NAMES | Rozana Veselica |
| FAMILY NAME | Celić |
| SIGNATURE | CELIĆ R V |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Total factor productivity dynamics and the artificial intelligence paradox
This paper investigates the artificial intelligence (AI) productivity paradox using total factor productivity (TFP) from 1890 to 2022 and fractional integration and long-memory econometric methods. We find that total factor productivity gains from AI investments may be delayed and diffuse nonlinearly, following long-memory patterns similar to those of previous technological revolutions, resulting in a paradox of long lags, not a lack of innovatio…
The impact of energy price dynamics on artificial intelligence adoption
This research examines the impact of energy price fluctuations and renewable power systems on the adoption of artificial intelligence (AI) technology across 28 OECD member states from 1980 to 2023. The research employs the Pooled Mean Group estimator with error correction (PMG-ECM) to analyze a balanced panel of 898 country-year observations, which assesses how electricity prices and renewable energy generation affect AI patent activity. The rese…
No prominent works on this page.
Total factor productivity dynamics and the artificial intelligence paradox
This paper investigates the artificial intelligence (AI) productivity paradox using total factor productivity (TFP) from 1890 to 2022 and fractional integration and long-memory econometric methods. We find that total factor productivity gains from AI investments may be delayed and diffuse nonlinearly, following long-memory patterns similar to those of previous technological revolutions, resulting in a paradox of long lags, not a lack of innovatio…
The impact of energy price dynamics on artificial intelligence adoption
This research examines the impact of energy price fluctuations and renewable power systems on the adoption of artificial intelligence (AI) technology across 28 OECD member states from 1980 to 2023. The research employs the Pooled Mean Group estimator with error correction (PMG-ECM) to analyze a balanced panel of 898 country-year observations, which assesses how electricity prices and renewable energy generation affect AI patent activity. The rese…
Estimator (2 works) · Baseline (sea (1 work) · Data envelopment analysis (1 work) · Economic and Technological Innovation (1 work) · Economic Growth and Productivity (1 work) · Electricity (1 work) · Electricity generation (1 work) · Energy (signal processing (1 work) · Energy, Environment, and Transportation Policies (1 work) · Energy, Environment, Economic Growth (1 work)