What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity:
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[S.l.]
SSRN
2022
Mannheim Universitätsbibliothek Mannheim 2023 |
| Schriftenreihe: | ZEW - Centre for European Economic Research Discussion Paper
No. 059, 2022 |
| Schlagwörter: | |
| Links: | https://ssrn.com/abstract=4300866 https://doi.org/10.2139/ssrn.4300866 |
| Abstract: | The ongoing digital transformation has raised hopes for ICT-based climate protection within manufacturing industries, such as dematerialized products and energy efficiency gains. However, ICT also consume energy as well as resources, and detrimental effects on the environment are increasingly gaining attention. Accordingly, it is unclear whether trade-offs or synergies between the use of digital technologies and energy savings exist. Our analysis sheds light on the most important drivers of the relationship between ICT and energy use in manufacturing. We apply flexible tree-based machine learning to a German administrative panel data set including more than 25,000 firms. The results indicate firm-level heterogeneity, but suggest that digital technologies relate more frequently to an increase in energy use. Multiple characteristics, such as energy prices and firms’ energy mix, explain differences in the effect |
| Beschreibung: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2022 erstellt |
| Umfang: | 1 Online-Ressource (56 Seiten) |
| DOI: | 10.2139/ssrn.4300866 |
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| 520 | 3 | |a The ongoing digital transformation has raised hopes for ICT-based climate protection within manufacturing industries, such as dematerialized products and energy efficiency gains. However, ICT also consume energy as well as resources, and detrimental effects on the environment are increasingly gaining attention. Accordingly, it is unclear whether trade-offs or synergies between the use of digital technologies and energy savings exist. Our analysis sheds light on the most important drivers of the relationship between ICT and energy use in manufacturing. We apply flexible tree-based machine learning to a German administrative panel data set including more than 25,000 firms. The results indicate firm-level heterogeneity, but suggest that digital technologies relate more frequently to an increase in energy use. Multiple characteristics, such as energy prices and firms’ energy mix, explain differences in the effect | |
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| spelling | Axenbeck, Janna Verfasser (DE-588)1207323632 aut What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity [S.l.] SSRN 2022 Mannheim Universitätsbibliothek Mannheim 2023 1 Online-Ressource (56 Seiten) txt rdacontent c rdamedia cr rdacarrier ZEW - Centre for European Economic Research Discussion Paper No. 059, 2022 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2022 erstellt The ongoing digital transformation has raised hopes for ICT-based climate protection within manufacturing industries, such as dematerialized products and energy efficiency gains. However, ICT also consume energy as well as resources, and detrimental effects on the environment are increasingly gaining attention. Accordingly, it is unclear whether trade-offs or synergies between the use of digital technologies and energy savings exist. Our analysis sheds light on the most important drivers of the relationship between ICT and energy use in manufacturing. We apply flexible tree-based machine learning to a German administrative panel data set including more than 25,000 firms. The results indicate firm-level heterogeneity, but suggest that digital technologies relate more frequently to an increase in energy use. Multiple characteristics, such as energy prices and firms’ energy mix, explain differences in the effect digital technologies energy use manufacturing machine learning Berner, Anne Verfasser (DE-588)1290462550 aut Kneib, Thomas 1976- Verfasser (DE-588)131555332 aut X:ELVSSRN https://ssrn.com/abstract=4300866 Verlag kostenfrei X:ELVSSRN https://doi.org/10.2139/ssrn.4300866 Resolving-System kostenfrei |
| spellingShingle | Axenbeck, Janna Berner, Anne Kneib, Thomas 1976- What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_auth | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_exact_search | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_full | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_fullStr | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_full_unstemmed | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_short | What Drives the Relationship Between Digitalization and Industrial Energy Demand? Exploring Firm-Level Heterogeneity |
| title_sort | what drives the relationship between digitalization and industrial energy demand exploring firm level heterogeneity |
| url | https://ssrn.com/abstract=4300866 https://doi.org/10.2139/ssrn.4300866 |
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