Domestic demand for petroleum in OPEC countries

Chakravorty, Ujjayant; Fesharaki, Fereidun; Zhou, Shuoying

doi:10.1111/1468-0076.00073

Cited by 13 publications

(13 citation statements)

References 3 publications

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“…The gasoline short-run income elasticities are in line with other studies (see for example, Al-Sahlawi, 1997;Chakravorty et al, 2000). Those which are not significantly different from zero may be interpreted to indicate high-income inelasticity.…”

Section: Gasolinesupporting

confidence: 88%

“…Libya's showed an unexpected sign. Chakravorty et al (2000) obtained unexpected signs for the short-run income elasticities for Iran, Kuwait and Qatar. The pair-wise correlation coefficients between the variables yielded a coefficient of 0.878 between (the logarithm of) price and (the logarithm of) income for Libya.…”

Section: Gasolinementioning

confidence: 98%

“…This is acceptable due to the fact that in the countries investigated, domestic prices of petroleum products are not determined by market forces, but are instead regulated by the authorities. This is a common convenience employed in developing country demand analysis (for example in Chakravorty et al, 2000).…”

Section: Literature Reviewmentioning

confidence: 99%

“…While the general focus on these countries is for their export capability to meet global oil demand, the issue of domestic demand has received less attention. Chakravorty et al (2000) have analysed the petroleum product demand in some OPEC countries using data for 1972. The International Energy Agency (2005 had analysed the MENA countries individually, essentially from an export potential perspective.…”

Section: Introductionmentioning

confidence: 99%

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Domestic demand for petroleum products in MENA countries

Bhattacharyya

Blake

2009

Energy Policy

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Section: Gasolinesupporting

confidence: 88%

Section: Gasolinementioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Domestic demand for petroleum products in MENA countries

Bhattacharyya

Blake

2009

Energy Policy

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“…remains the basic form of econometric analysis. Many studies are reported in the literature, including Paga and Birol (1994) and Chakravorty et al (2000), while Sterner (1991) analyzed model specification for pooled estimation. Hughes et al (2008) retain this simple specification in their study because "it provides a good fit to the data and allows for direct comparison with previous results from the literature.…”

Section: Econometric Approachmentioning

confidence: 99%

Energy Demand Models For Policy Formulation: A Comparative Study Of Energy Demand Models

Bhattacharyya¹,

Timilsina²

2009

Policy Research Working Papers

127

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This paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries. The study finds that two types of approaches, econometric and end-use accounting, are used in the existing energy demand models. Although energy demand models have greatly evolved since the early 1970s, key issues such as the poor-rich and urban-rural divides, traditional energy resources, and differentiation between commercial and non-commercial energy This paper-a product of the Environment and Energy Team, Development Research Group-is part of a larger effort in the department to study climate change and clean energy issues. Policy Research Working Papers are also posted on the Web at http://econ.worldbank.org. The author may be contacted at gtimilsina@worldbank.org.commodities are often poorly reflected in these models. While the end-use energy accounting models with detailed sector representations produce more realistic projections compared with the econometric models, they still suffer from huge data deficiencies especially in developing countries. Development and maintenance of more detailed energy databases, further development of models to better reflect developing country context, and institutionalizing the modeling capacity in developing countries are the key requirements for energy demand modeling to deliver richer and more reliable input to policy formulation in developing countries. Energy Demand Models for Acronyms and Definitions DefinitionsA few terms appear recurrently in this report: tool, model, method, methodology, approach and framework. We give the dictionary meaning of these terms and indicate how we have used them in this paper.A "tool" is "the means whereby some act is accomplished" or "an implement used in the practice of a vocation". In this paper, we use the term to imply an implement or a kit that is used in analyzing energy demand or forecasting demand or in analyzing the energy system in its part or whole.A "model" is defined as "a simplified description of a complex entity or process". In this paper, we use models to imply a simplified representation of a complex problem or process, often in mathematical terms, that helps us in conceptualizing and analyzing the problem. In this sense, a model can be a tool or can employ a number of tools in a systematic way.A "framework" is defined as "a structure supporting or containing something" or "a simplified description of a complex entity or process". In this paper, we have used this term interchangeably with a model.A "method" is defined as "a way of doing something, especially a systematic way; implies an orderly logical arrangement (usually in steps)". We have used the term to mean a logical, systematic approach for accomplishing a task.An "approach" is defined as the "ideas or actions intended to deal with a problem or situatio...

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