• Initiative -
  • Type KAPSARC journal article
  • Date 1 April 2016
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Abstract

This study examines the impacts of the population age groups of 20-34, 35-49, 50-64 and 65-79 on the per capita energy use of the oil-exporting countries of Commonwealth Independent States: Azerbaijan, Kazakhstan and Russia employing the modified-STIRPAT framework. Considering that estimations using non-stationary data may yield spurious results, unlike many prior STIRPAT studies, we explore integration and cointegration properties of the data and then estimate long- and short-run elasticities as well as speed of adjustment coefficients. Since our time series analysis covers only 23 observations (1990-2012), as a robustness check, we also conduct panel data analysis by pooling the mentioned countries data with that for members of Organization of Petroleum Exporting Countries. We apply the Autoregressive Distributed Lags Bounds Testing approach in the time series analysis and Pooled Mean Group estimator in the panel analysis, both are superior in small samples. The findings from the time series analysis are supported by those from the panel data analysis. According to the results, there is cointegrated relationship among the variables. The age groups together with affluence and oil prices have statistically significant impacts on the per capita energy use in the selected countries. Moreover, we find the speed of adjustments exhibiting different magnitudes for different countries depending on which population age group is considered. The findings suggest that policymakers should pay special attention to the population age groups of 35-49 and 50-64, as they have a large effect on per capita energy use. Since these groups are the main part of the working age population, increase in their energy consumption is likely to lead to economic growth. Furthermore, the policymakers should take into consideration the finding that speed of adjustments towards an equilibrium path is quite high. It implies that any policy related shocks to the per capita energy use relationship could disappear within a year or even sooner. © 2015 Elsevier B.V.

http://dx.doi.org/10.1016/j.econmod.2015.12.018

Economic Modelling

Authors

Fakhri Hasanov

Research Fellow Fakhri is a research fellow leading the KAPSARC Global Energy Macroeconometric Model (KGEMM) project. Previously, he was an associate professor… Fakhri is a research fellow leading the KAPSARC Global Energy Macroeconometric Model (KGEMM) project. Previously, he was an associate professor and director of the Center for Socio-Economic Research at Qafqaz University, Azerbaijan. He has served as a deputy director of the Research Institute at the Ministry of Economic Development, and a senior economist at the Research Department of the Central Bank of Azerbaijan Republic. He received a Fulbright Post-Doctoral Scholarship and conducted a research on building and applying a macroeconometric model for policy analysis at the George Washington University. Fakhri is a member of the research program on forecasting at the George Washington University and the editorial board of the Asian Journal of Business and Management Sciences. His research interests and experience span econometric modeling and forecasting, building and applying macroeconometric models for policy purposes, energy economics with a particular focus on natural resource-rich countries.

Expertise

  • Applied macroeconometrics
  • Energy economics
  • Time series modeling and forecasting

Publications See all Fakhri Hasanov’s publications

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