Sato, Misato and Singer, G and Dussaux, D and Lovo, S
(2020).
International and sectoral variation in industrial energy prices 1995-2015.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-853358
This is the latest version of this item.
This project brings together several new quantitative assessments of the competitiveness impacts of climate policies. It provides detailed analysis of how climate change policies and energy prices influence business decisions on innovation, outsourcing (investment location) and trade.
Data description (abstract)
This dataset contains sector level energy prices for 12 industrial sectors in 48 countries for the period 1995 to 2015. The prices are constructed as weighted averages of fuel-specific prices by fuel consumption. Two industrial energy price measures have been developed: the Variable Weights Energy Price Level (VEPL) and the Fixed Weights Energy Price Index (FEPI). Original data are provided by the International Energy Agency, as well as other sources. The procedures used to construct the dataset including the methodology developed to reduce missing data-points, are documented in the accompanying paper. In the paper, we provide guidelines for the use of our energy price data, which is made available for download, as well as a set of stylized facts on major trends and variations, and illustrative applications.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Sato Misato |
London School of Economics and Political Science |
|
Singer G |
London School of Economics |
|
Dussaux D |
ParisTech PSL University |
|
Lovo S |
University of Reading |
|
|
Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/N016971/1
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Topic classification: |
Natural environment Economics Trade, industry and markets
|
Keywords: |
ENERGY PRICES, FUEL CONSUMPTION, INDUSTRIES, INDUSTRY, FUEL PRICES, PRICES
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Project title: |
Assessing the trade and innovation impacts of climate change policies: do they help UK firms or competitors abroad?
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Grant holders: |
Misato Sato
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Project dates: |
From | To |
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1 October 2016 | 30 September 2018 |
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Date published: |
10 Jul 2020 17:23
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Last modified: |
18 Sep 2020 11:17
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Temporal coverage: |
From | To |
---|
1 January 1995 | 31 December 2015 |
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Collection period: |
Date from: | Date to: |
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1 October 2016 | 30 September 2018 |
|
Geographical area: |
Word wide |
Country: |
United Kingdom, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany (October 1990-), Greece, Hungary, India, Indonesia, Ireland, Italy, Japan, Kazakhstan, South Korea, Latvia, Lithuania, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Romania, Russia, Slovakia, Slovenia, South Africa, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Kingdom, United States, Venezuela |
Data collection method: |
Dataset derived from a variety of data sources to construct an energy price index, with considerably improved coverage than previous studies. Methodology is explained in the paper. |
Observation unit: |
Other |
Kind of data: |
Numeric |
Type of data: |
Historical data, Qualitative and mixed methods data |
Resource language: |
English |
|
Data sourcing, processing and preparation: |
The primary source for price data is the IEA Energy End-Use Prices database, and specifically the prices for the industrial sector. The IEA industrial energy price data are supplemented with data from national official data sources, mainly for non-OECD countries where IEA stopped publishing energy price data after 2011. The fuel use data in toe is derived from the IEA World Energy Balances for all countries, reflecting consumption by fuel type at the sector level.
We construct energy price indices that vary by sector, country and year. The price indices are a weighted average of the energy prices for different fuel types, with weights given by the share of fuel consumption in the sector’s energy mix. The underlying fuel prices vary by country and time. The fuel prices are inclusive of tax and other policies and four fuel types are covered (oil, gas, coal and electricity). Fuel prices mainly reflect institutional factors, policies and scarcity. The variation across sectors within countries comes from different fuel compositions of sectors. The idea is to utilise the observable variation in the fuel mix to improve the measurement of energy prices faced by sectors in a given country and year. The fuel consumption weights mainly represent technology.
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Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Sato Misato |
London School of Economics and Political Science |
|
International Energy Agency |
|
|
|
Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Service
|
Last modified: |
18 Sep 2020 11:17
|
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