Elsevier

Energy Economics

Volume 21, Issue 5, 1 October 1999, Pages 485-492
Energy Economics

Defining ‘total energy use’ in economic studies: does the aggregation approach matter?

https://doi.org/10.1016/S0140-9883(99)00014-6Get rights and content

Abstract

In economic models, the aggregate consumption of energy resources is normally expressed either in terms of its total heating value (e.g. Btus or barrels of oil equivalent) or in terms of its economic value (e.g. Divisia indices or total expenditures). For most major OECD countries, we find that it matters little whether various energy resources consumed in the industrial sector are aggregated in terms of their heating value or their economic value — similar trends emerge regardless of which measure is adopted. Consequently, as a practical matter, macroeconomic and energy modeling efforts need not be too concerned about which measure of total energy usage is adopted. The prominent exceptions are the United States and Mexico, where measures of total industrial sector energy use based on heating values and economic values diverge greatly due to some unique trends in electrification and energy prices. Consequently, attention to aggregation issues may be an important consideration in efforts to model the energy consumed in the US or Mexico.

Introduction

It is often debated how the total quantity of energy resources produced or consumed in a nation or region should be measured for use as a variable in economic models. Most modeling efforts rely on measures of total energy resources in which various types of energy resources (e.g. electricity, natural gas, coal, and oil) are aggregated based on their heating value, in such units as British thermal units (Btu) or barrels of oil equivalent (boe). In this paper, we shall refer to these measures as heating value aggregates. Such measures are readily available from government sources.

Beginning with Berndt (1985), many economists have pointed out the theoretical flaws inherent in aggregating different types of energy resources based on a heating value index and have suggested alternatives, such as Divisia energy aggregates which combine different resources based on their economic value. Zarnikau et al. (1996) trace the microeconomic foundations of the Divisia energy aggregate and discuss how the form-value attributes of different energy resources are reflected in Divisia aggregation approaches.

Empirical studies may be very sensitive to the means used to aggregate different energy resources. Hong (1983) demonstrated how the Divisia and Btu indices lead to very different conclusions regarding trends in energy-output ratios for the US economy. Nguyen and Andrews (1989) demonstrated the superiority of a Divisia aggregate over a Btu aggregate in estimating elasticities of demand for factor inputs in manufacturing in the US. Zarnikau (1996) reported that findings regarding the direction of causality between energy consumption and GNP in the US economy are quite sensitive to the manner in which various energy resources are aggregated. Zarnikau and Gupta (1997) showed that heating value energy aggregates tend to overstate the gains in energy efficiency achieved in various states of the US, relative to Divisia energy aggregates. Zarnikau (1999) demonstrated that the energy efficiency indices recently proposed by the US Department of Energy will tend to overstate energy efficiency achievements if they are based on heating value energy aggregates.

Each of the empirical studies cited above relied on data pertaining to national or regional energy resource usage in the US. In recent decades, Divisia energy aggregates for US industrial and residential energy consumption have grown much faster than heating value energy aggregates. This divergence is due to increasing electrification and price-related factors. Consequently, the sensitivity of econometric results to the choice of aggregation approach is not surprising.

Paralleling the debate in energy economics over the appropriate means of aggregating energy resources are similar debates in other branches of economics. In the field of monetary theory, economists have extensively studied alternative means of aggregating currency, savings deposits, money market accounts, and other financial assets into a single monetary aggregate (for a survey of this literature, see Barnett et al., 1992). Agricultural economists have debated whether to add different types of food by calories, weight, or economic value to derive an estimate of total food consumption or production. The Commission recently established to examine estimation error in the US consumer price index devoted considerable attention to appropriate means of aggregating all of the consumer products offered for sale in the country.

This paper constructs Divisia energy aggregates to measure industrial energy consumption in various OECD countries. We explore whether the divergence between heating value energy aggregates and Divisia energy aggregates that has been found for the US has also been experienced in other major OECD countries. We come to the interesting conclusion that this divergence seems to be unique to the US and Mexico. For other nations studied, Divisia energy aggregates and heating value energy aggregates follow very similar patterns. Some explanation is offered for this finding.

Section snippets

Deficiencies in heating value energy aggregates

To measure the total consumption of energy resources in a nation, region, process, firm, or household requires a means of adding up different types of energy resources (e.g. electricity, coal, oil, and natural gas). The heating content of various resources, usually expressed in Btu or boe, is often used for this purpose. There are a number of well-known limitations to aggregating different energy resources based upon their heating potential. A heating value energy aggregate ignores form-value

The Divisia energy aggregate

Recognition of the problems inherent with heating value energy aggregates has led to the introduction of Divisia energy aggregates. These indices combine different energy resources based on their market value, thus indirectly adjusting for differences in the form-value attributes of different energy resources. The resulting index provides a measure of the trend in the aggregate quantity of energy resources over time. In constructing the aggregate, the component energy resources are weighted

Measures of national energy consumption

While the Divisia aggregation approach enjoys a firm theoretical foundation, Divisia energy aggregates do require considerably more data and effort to construct than heating value aggregates. Here we explore whether the extra effort is really necessary if an analyst’s goal is to econometrically estimate relationships between the total demand for energy resources and other economic and demographic factors.

For major OECD countries, Divisia energy aggregates were constructed to measure total

Implications

Theory should guide the selection of an appropriate aggregation method. However, as a practical matter, the results of heating value and Divisia aggregation approaches may be so similar that the approach matters little. The comparison of heating value and Divisia energy aggregates for industrial energy consumption in Australia, Canada, Japan, Italy, the United Kingdom, France, and Germany suggests that econometric results are not likely to be greatly affected by the selection of aggregation

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