SCENARIO ANALYSIS OF IMPROVING THE ENERGY EFFICIENCY OF UZBEKISTAN’S ECONOMY UNDER CONDITIONS OF UNCERTAINTY

SCENARIO ANALYSIS OF IMPROVING THE ENERGY EFFICIENCY OF UZBEKISTAN’S ECONOMY UNDER CONDITIONS OF UNCERTAINTY

Authors

  • Muslimova F.S.
  • Khashimova N.A.

DOI:

https://doi.org/10.5281/zenodo.18660507

Keywords:

scenario analysis, energy efficiency of the economy, GDP energy intensity, multifactor analysis, structural transformation, digitalization of the economy, sustainable development, economic strategy

Abstract

The article is devoted to the analysis of approaches to scenario forecasting of improving the energy efficiency
of Uzbekistan’s economy under conditions of external and internal uncertainty. The study examines methods of scenario
and multifactor analysis that make it possible to account for the combined influence of macroeconomic, technological,
and institutional factors on the dynamics of the energy intensity of gross domestic product. The paper substantiates the
expediency of transitioning from static assessments to multivariate development scenarios reflecting alternative trajectories
of economic growth and energy transformation. The practical significance of the research lies in the development of
analytical tools that contribute to informed decision-making in the field of energy and investment policy, as well as in
supporting the sustainable development of the economy.

Author Biographies

Muslimova F.S.


Independent Researcher
Tashkent State University of Economics

Khashimova N.A.


Professor, Doctor of Economic Sciences
Tashkent State University of Economics

References

State Committee of the Republic of Uzbekistan on Statistics. (2010–2022). National accounts of the Republic of

Uzbekistan: Statistical yearbook. Tashkent: State Committee of the Republic of Uzbekistan on Statistics.

State Committee of the Republic of Uzbekistan on Statistics. (2026). Gross domestic product of the Republic of

Uzbekistan: Official statistical portal. Retrieved February 8, 2026, from https://stat.uz

International Energy Agency. (2022). World energy balances. Paris: International Energy Agency (IEA).

International Energy Agency. (2022). World energy outlook 2022. Paris: International Energy Agency (IEA).

World Bank. (2022). World development indicators: Energy use and efficiency indicators. Retrieved February 8, 2026,

from https://databank.worldbank.org

Voropai, N. I. (Ed.). (2010). System studies in energy: Retrospective of scientific directions of SEI–ISEM. Novosibirsk:

Nauka.

Chateau, B., & Lapillonne, B. (1978). The MEDEE approach: Analysis and long-term forecasting of final energy

demand of a country. France.

National Technical University of Athens. (n.d.). Brief description of the PRIMES energy system model. Joule-III

Programme of the European Commission. Retrieved from http://www.e3mlab.ntua.gr/manuals/PRIMsd.pdf

Kononov, Y. D., Galperova, E. V., Kononov, D. Y., et al. (2009). Methods and models of forecast interrelations between

energy and the economy. Novosibirsk: Nauka.

Nuclear Energy Institute. (2014). The economic benefits of nuclear energy—Present and future.

Shirov, A. A., & Yantovsky, A. A. (2011). Assessment of multiplicative effects in the economy: Opportunities and

limitations. EKO, 2(440), 40–59.

Makarov, A. A., & Melentiev, L. A. (1973). Methods of research and optimization of the energy economy. Novosibirsk:

Nauka.

Ang, B. W., & Liu, F. L. (2001). A new energy decomposition method: Perfect in decomposition and consistent in

aggregation. Energy, 26, 537–548.

Liddle, B. (2012). Energy intensity, gross domestic product, and population: A panel study of developed and developing

countries. Energy Policy, 41, 775–785

Downloads

Published

2026-02-01

How to Cite

Muslimova F.S., & Khashimova N.A. (2026). SCENARIO ANALYSIS OF IMPROVING THE ENERGY EFFICIENCY OF UZBEKISTAN’S ECONOMY UNDER CONDITIONS OF UNCERTAINTY. Innovation Science and Technology, 2(2). https://doi.org/10.5281/zenodo.18660507
Loading...