Interfuel Substitution within Industrial Companies: An Analysis Based on Panel Data at Company Level

Bjørner, Thomas; Jensen, Henrik Holm

doi:10.5547/issn0195-6574-ej-vol23-no2-1

Cited by 32 publications

(16 citation statements)

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“…31 Steinbuks (2012) estimated econometric model of interfuel substitution for 15 energyintensive UK manufacturing sectors between 1990 and 2005, and found very small cross-price elasticities of fuel demand in both the short-and the long-run. This finding is consistent with earlier studies of interfuel substitution in manufacturing based on disaggregated data (Woodland 1993, Bjorner andJensen 2002).…”

Section: Simulated Effects Of a Carbon Taxsupporting

confidence: 93%

Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries

Steinbuks

Neuhoff

2014

Journal of Environmental Economics and Management

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Section: Simulated Effects Of a Carbon Taxsupporting

confidence: 93%

Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries

Steinbuks

Neuhoff

2014

Journal of Environmental Economics and Management

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“…On the other hand, he finds that electricity and oil, and electricity and gas are always complementary inputs. In an analysis of Danish manufacturing firms, Bjørner and Jensen (2002b), present the elasticities by pattern of fuel usage: their partial elasticities also show that electricity is the least sensitive fuel to changes in its own price, followed by fuel oil; district heating is the most price sensitive, but the estimated partial elasticities still indicate that its demand is inelastic. Similar to our results, they find a higher degree of price sensitivity according to their calculated total elasticities, although the demand for all energy types remains own-price inelastic.…”

Section: Comparison To the Literaturementioning

confidence: 98%

Firm-level Estimates of Fuel Substitution: An Application toCarbon Pricing

Hyland¹,

Haller²

2018

The Energy Journal

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We estimate partial-and total-fuel substitution elasticities between electricity, gas and oil, using firm-level data. We find that, based on the partial elasticity measure, electricity is the least-responsive fuel to changes in its own price and in the price of other fuels. The total elasticity measure, which adjusts the partial elasticity for changes in aggregate energy demand induced by individual fuel price changes, reveals that the demand for electricity is much more price responsive than the partial elasticity suggests. Our results illustrate the importance of accounting for the feedback effect between interfactor and interfuel substitution elasticities when considering the effectiveness of environmental taxation. We use the estimated elasticities to simulate the impact of a e15/tCO 2 carbon tax on average energyrelated CO 2 emissions. The carbon tax results in a small reduction in CO 2 emissions from oil and gas use, but this reduction is partially offset by an increase in emissions due to increased electricity consumption by some firms.

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“…In general, energy transitions and inter-fuel substitutions, at an aggregate national or sectoral level, have been the subject of focus of several studies (for e.g. Uri, 1979;Jones, 1995;Bjorner and Jensen, 2002). However, an analysis of energy choices, fuel switching patterns and factors affecting household energy transitions at a micro household level, and the implications of such micro-level changes for aggregate national energy use, have received relatively less attention.…”

Section: Introductionmentioning

confidence: 99%