Income and price elasticities of natural gas demand in Pakistan: A disaggregated analysis
Muhammad Javid,
Farzana Naheed Khan and
Umaima Arif
Energy Economics, 2022, vol. 113, issue C
Abstract:
The study estimates income and price elasticities of natural gas demand for industrial, commercial, and residential sectors of Pakistan. The study also examines the relationship between natural gas consumption and underlying energy demand trend (UEDT) which follows a stochastic process that is captured by a structural time series modeling approach to the annual data for the period 1972–2019. Empirical estimates show that, the real price of gas, economic activity and the UEDT determine the shape of natural gas demand in Pakistan. The upward slopes of the UEDT in all three sectors indicate that exogenous factors have dominated the energy efficiency improvements in the country due to the technical progress. The more substantial effect of exogenous factors, represented by the estimated UEDT, than the real price of gas in all sectors suggests that policies to curtail natural gas demand through energy efficient appliances will be more useful than price-induced policies.
Keywords: Natural gas; Elasticity; Energy; UEDT; Technology (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014098832200353X
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:113:y:2022:i:c:s014098832200353x
DOI: 10.1016/j.eneco.2022.106203
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 ().