Cyclical and Structural Drivers of CO₂ Emissions in the European Countries. Annual Panel Evidence for 2000–2023

This paper analyses the innovation and regulatory-induced adjustments in European energy systems and their short-term effects on per capita CO₂ emissions for 28 European countries over the period 2000–2023. Empirically, first-difference panel models with country and year fixed effects and Driscoll–Kraay errors are used to capture annual within-country variations and control for common shocks. The results show that the normalized Shannon index, as a generic measure of diversity, has no short-term predictive power, while the actual composition of the energy mix and demand dynamics explain the annual variations in emissions at the sample level. Specifically, a 1 percentage point increase in the share of renewables is associated with approximately −0.85% in per capita CO₂, and a 1% reduction in the energy intensity of GDP corresponds to a decrease of approximately −0.70%. Through the estimated (semi)elasticities, the study provides operational benchmarks for the annual calibration of energy policies, but also for managerial decisions regarding investment timing, tariff design, and demand management under budgetary constraints.

Authors

Institutions

Publication Details

Journal
Engineering Economics
Published
2026-10-30
DOI
https://doi.org/10.5755/j01.ee.37.4.43481
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cyclical and Structural Drivers of CO₂ Emissions in the European Countries. Annual Panel Evidence for 2000–2023

Carmen Lenuţa Trică, Raluca Mihaela Drăcea, Mihai Dinu, Raluca Ignat et al.
2 links
Engineering Economics
Energy, Environment, Economic Growth
article

Cyclical and Structural Drivers of CO₂ Emissions in the European Countries. Annual Panel Evidence for 2000–2023

Carmen Lenuţa Trică, Raluca Mihaela Drăcea, Mihai Dinu, Raluca Ignat, Chiva Marilena Papuc
article en

Abstract

This paper analyses the innovation and regulatory-induced adjustments in European energy systems and their short-term effects on per capita CO₂ emissions for 28 European countries over the period 2000–2023. Empirically, first-difference panel models with country and year fixed effects and Driscoll–Kraay errors are used to capture annual within-country variations and control for common shocks. The results show that the normalized Shannon index, as a generic measure of diversity, has no short-term predictive power, while the actual composition of the energy mix and demand dynamics explain the annual variations in emissions at the sample level. Specifically, a 1 percentage point increase in the share of renewables is associated with approximately −0.85% in per capita CO₂, and a 1% reduction in the energy intensity of GDP corresponds to a decrease of approximately −0.70%. Through the estimated (semi)elasticities, the study provides operational benchmarks for the annual calibration of energy policies, but also for managerial decisions regarding investment timing, tariff design, and demand management under budgetary constraints.

Engineering EconomicsVol. 37(4)
Bucharest University of Economic Studies (RO)
Climate action, Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 8%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Cyclical and Structural Drivers of CO₂ Emissions in the European Countries. Annual Panel Evidence for 2000–2023 — Carmen Lenuţa Trică, Raluca Mihaela Drăcea, et al. · Engineering Economics (2026) | TGRS Research Map | TGRS