Electricity consumption and economic development: Are countries converging to a common trend?
Young Se Kim
Energy Economics, 2015, vol. 49, issue C, 192-202
Abstract:
This paper studies the dynamic behavior of electricity consumption with special emphasis on their convergence patterns. Individual electricity indicators are modeled by allowing for apparent heterogeneous transitions. Log t convergence test results indicate that all 109 countries converge to a common stochastic trend for electricity intensity while per capita electricity consumption is better explained by a multiple-component model. In the case of 24 advanced economies, there is a strong tendency towards a common component for both indicators. The application of clustering algorithm confirms the presence of club convergence for per capita electricity consumption. In terms of clustering pattern, per capita electricity consumption appears to be remarkably similar to per capita income, widely used measure of economic development.
Keywords: Relative convergence; Clustering analysis; Electricity intensity; Electricity consumption; Economic development; Income convergence (search for similar items in EconPapers)
JEL-codes: C23 C38 O13 O15 Q43 Q48 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (47)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988315000298
Full text for ScienceDirect subscribers only
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:eee:eneeco:v:49:y:2015:i:c:p:192-202
DOI: 10.1016/j.eneco.2015.02.001
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().