Aggregate emission reductions can conceal a redistribution of climate-policy burdens across sectors. This study reanalyses published EU27 Kaya indices and sectoral emission shares for 1990-2022 to ask whether economic-environmental decoupling has been accompanied by a shift toward harder-to-abate activities. The extension introduces five complementary indicators: log-change contribution accounting, mitigation-to-growth leverage, decoupling elasticity, a sectoral reallocation index, and concentration and entropy measures. Per-capita GDP increased by 44.6%, while the combined effects of lower energy and carbon intensity outweighed the scale effect by a factor of 2.50. Per-capita CO₂ emissions consequently fell by 42.5%. At the same time, 20 percentage points of the emissions distribution were reallocated among sectors. Transport, residential, and agriculture/waste increased their combined share from 31% to 51%, while the Herfindahl-Hirschman Index fell from 0.289 to 0.237, indicating a more dispersed and institutionally complex mitigation burden. The findings show that successful aggregate decoupling does not eliminate sectoral lock-in. EU climate policy must preserve power-sector momentum while strengthening coordinated, sector-specific instruments for mobility, buildings, industry, and non-CO₂ agricultural emissions.
H. Tutar, Dilek Baykal· Transformations and Sustaina...· 0 citations
This study investigates how Environmental, Social, and Governance Uncertainty (ESGU) relates to carbon intensity across 24 economies observed annually from 2003 to 2024, a question situated at the intersection of Sustainable Development Goals 7 and 13. ESG‐related uncertainty has been studied mainly in financial markets, yet whether it shapes aggregate decarbonization outcomes and through which channel has remained largely unexamined. The empirical design combines two‐way fixed‐effects regressions with Driscoll–Kraay standard errors, a formal mediation test based on Sobel statistics and bias‐corrected bootstrap intervals, and a cross‐sectionally augmented ARDL specification that separates long‐run from short‐run dynamics. Carbon intensity, the renewable electricity share, and the ESGU index are compiled from openly accessible databases, and every series is documented at source to support replication. The estimates indicate that sustainability policy uncertainty is associated with carbon intensity primarily through the energy‐transition channel rather than through a direct effect. Higher ESGU coincides with a larger renewable electricity share (
a
= 0.188,
p
< 0.10), and a larger renewable share is in turn associated with lower carbon intensity (
b
= −0.168,
p
< 0.01); the resulting indirect path is statistically robust (Sobel
z
= −3.46,
p
= 0.001; bootstrap 95% CI [−0.048, −0.016]) and accounts for roughly 47% of the total association. Renewable capacity does not significantly moderate the relationship, whereas trade openness does, and the direction of these conditioning effects departs from prior expectations grounded in firm‐level evidence. By moving ESGU analysis from financial markets to economy‐wide decarbonization and by isolating renewable electricity as the operative transmission mechanism, the study reframes regulatory predictability and clean‐energy deployment as complementary rather than competing instruments for SDG 7 and SDG 13.
H. Tutar, Dalia Štreimikienė· Sustainable Development· 0 citations