Estimating Industrial Natural Gas Demand Elasticities in Selected OECD Countries
View Abstract View PDF Download PDF
Download VIDEO

Keywords

Industrial natural gas demand, Income elasticity, Price elasticity, Panel data model, FMOLS, DOLS, Dynamic panel data.

How to Cite

Rajabi, M. M. ., & Mousavi, M. . (2019). Estimating Industrial Natural Gas Demand Elasticities in Selected OECD Countries. Energy Economics Letters, 6(1), 52–65. https://doi.org/10.18488/journal.82.2019.61.52.65

Abstract

This study aims to estimate industrial natural gas demand in 15 selected OECD countries over the period of 1991 to 2016, within the framework of dynamic panel data model. The long-run income and own price and cross-price elasticities of natural gas in industry sector were computed by using fully modified OLS and dynamic OLS approaches as they have taken care of endogeneity by adding leads and lags (DOLS) or nonparametric approach to deal with serial correlation (FMOLS) in the presence or absence of cointegration. The results indicated that in FMOLS approach income elasticity spans from 0.08 to 0.21 and price elasticity was ranged between -0.05 to -0.07 (respectively in model with constant &trend and constant only). So demand is inelastic to price and income both. While in DOLS approach income elasticity was equal 0.63 and 1.15 and price elasticity was -0.14 and -0.51 in models with constant only as well as model with constant & trend respectively. Due to the price inelasticity of natural gas in the industrial sector, changing the price of natural gas or other substitutes does not lead to dipping the consumption and CO2 emission and levying taxes on natural gas price or other substitutes will not change the consumption habit in industry sector.

https://doi.org/10.18488/journal.82.2019.61.52.65
View Abstract View PDF Download PDF
Download VIDEO

Abstract Video

Downloads

Download data is not yet available.