IDEAS home Printed from https://ideas.repec.org/p/ind/igiwpp/2016-024.html

Integrated model of computable general equilibrium and social cost benefit analysis of an Indian oil refinery: Future projections and macroeconomic effects

Author

Listed:
  • Shovan Ray

    (Indira Gandhi Institute of Development Research)

  • A. Ganesh Kumar

    (Indira Gandhi Institute of Development Research)

  • Sumana Chaudhuri

    (Durgadevi Saraf Institute of Management Studies)

Abstract

Social Cost Benefit Analysis has long been used as a useful tool to appraise and evaluate the value to a society of a range of investment projects. Various important aspects of this method have been subject to scrutiny over the decades, such as the appropriate discount rate, whether the Ramsey Rule of `pure time preference' should be applied as impatience with a positive rate or zero-rated with concern for future generations; these are important concerns since the choice of discount rates deeply affect the valuations of future income streams. Other aspects concerning financial flows and appropriate `shadow prices' have also undergone considerable attention. However, when a mega-project with the character of a `universal intermediate' is considered, its multiplier effects may be wide-ranging and permeate several economic and social layers, and may be captured only in the aggregates. This study, a sequel to a paper that ignores such macro-aggregative benefits, examines the costs and benefits of Vadinar refinery in Gujarat with a focus on this welfare dimension on society for the project. The study allows for this large scale benefit accrual and examines the net economic benefit of refining at Vadinar by Essar Oil to the region, the state and the country by Social Cost Benefit Analysis. The framework thus explores a methodological breakthrough in SCBA studies. In constituting the macroeconomic effects of expansion of the mega oil refinery, the economic impact is estimated using the Computable General Equilibrium (CGE) model and incorporated into the cost benefit analysis. This assimilation of CBA with macroeconomic externality obtained from the CGE model framework is perhaps only one of its kind in economic analysis of major infrastructure projects of any country. SCBA when combined with CGE as an analytical tool can be gainfully employed to appraise or evaluate large scale projects like oil refineries, especially when they make a splash with their mega-sizes as the Essar Oil refinery is.

Suggested Citation

  • Shovan Ray & A. Ganesh Kumar & Sumana Chaudhuri, 2016. "Integrated model of computable general equilibrium and social cost benefit analysis of an Indian oil refinery: Future projections and macroeconomic effects," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2016-024, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2016-024
    as

    Download full text from publisher

    File URL: http://www.igidr.ac.in/pdf/publication/WP-2016-024.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sumana Chaudhuri & Shovan Ray & Ganesh-Kumar, 2018. "Integrated Model of Computable General Equilibrium and Social Cost Benefit Analysis of an Indian Oil Refinery: Future Projections and Macroeconomic Effects," Journal of Infrastructure Development, India Development Foundation, vol. 10(1-2), pages 96-125, June.
    2. Oliveira, André & Couto, Gualter & Pimentel, Pedro, 2025. "Currents of change: Social-environmental valuation of electric ships for sustainable passenger transport," Economics of Transportation, Elsevier, vol. 42(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D60 - Microeconomics - - Welfare Economics - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ind:igiwpp:2016-024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shamprasad M. Pujar (email available below). General contact details of provider: https://edirc.repec.org/data/igidrin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.