Exploring the Causal Relationship between Total and Renewable Energy Consumption, Agricultural Growth, and CO2 Emissions: A VAR-Based Analysis of Kazakhstan's Path toward Sustainable Development
Alma Kuralbayeva (),
Abylaykhan Duisenbekuly (),
Galimzhan A. Pazilov (),
Elmira Y. Zhussipova (),
Aruzhan Makhatova () and
Gulmira Issayeva ()
Additional contact information
Alma Kuralbayeva: Central Asian Innovation University, Shymkent, Kazakhstan
Abylaykhan Duisenbekuly: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Galimzhan A. Pazilov: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Elmira Y. Zhussipova: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Aruzhan Makhatova: PhD candidate, M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
Gulmira Issayeva: M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
International Journal of Energy Economics and Policy, 2026, vol. 16, issue 2, 214-221
Abstract:
This study investigates the dynamic interplay among agricultural growth, total energy consumption, renewable energy penetration, and CO? emissions in Kazakhstan, using annual data for 2001-2024. Augmented Dickey-Fuller diagnostics classify all series as I(1), and information criteria favor a parsimonious VAR(1). Variance decompositions indicate that agricultural growth is primarily driven by own shocks, with a growing medium-horizon contribution from CO?. Total energy use remains largely self-propelled, accompanied by modest spillovers from agriculture and a gradual feedback from emissions. The renewable share increasingly reflects movements in total energy demand at longer horizons, while agriculture contributes a smaller but persistent portion; the direct role of CO? in renewable dynamics is negligible under orthogonalized innovations. Emissions variability is governed chiefly by shocks to aggregate energy demand and by own persistence. Pairwise Granger tests uncover a single predictive channel - total energy use Granger-causing the renewable share - whereas other pairs do not exhibit short-run directionality at conventional thresholds. Taken together, the evidence portrays a demand-led nexus in which aggregate energy conditions steer near-term adjustments, agricultural performance reflects internal dynamics and environmental pressure, and emissions co-move with energy demand. The findings underscore policy relevance for demand management, grid integration with bankable procurement of renewables, and climate-smart upgrades in irrigation and inputs.
Keywords: Kazakhstan; Agricultural growth; CO? emissions; Energy consumption; Renewable energy; VAR model (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://econjournals.com/index.php/ijeep/article/download/22428/9759 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:v:16:y:2026:i:2:id:22428
Ordering information: This journal article can be ordered from
https://econjournals.com/index.php/ijeep
DOI: 10.32479/ijeep.22428
Access Statistics for this article
More articles in International Journal of Energy Economics and Policy from International Journal of Energy Economics and Policy
Bibliographic data for series maintained by Monica Sinhat ().