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Estimating The Impacts Of Regional Business Assistance Programs: Alternative Closures In A Computable General Equilibrium Model

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  • Dan S. Rickman

Abstract

ABSTRACT Multipliers derived from regional Keynesian models are often used to justify regional business assistance programs. Econometric evidence on the efficacy of such programs is inconclusive. A regional, computable, general equilibrium model of key agricultural and energy‐producing states was implemented to study the sensitivity of predicted impacts of regional business assistance programs to alternative model closures. The closures fall into two broad categories: Keynesian and neoclassical. The model also improves upon current methods used to evaluate regional business assistance programs.

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  • Dan S. Rickman, 1992. "Estimating The Impacts Of Regional Business Assistance Programs: Alternative Closures In A Computable General Equilibrium Model," Papers in Regional Science, Wiley Blackwell, vol. 71(4), pages 421-435, October.
    • Handle: RePEc:bla:presci:v:71:y:1992:i:4:p:421-435
    DOI: 10.1111/j.1435-5597.1992.tb01857.x
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    Cited by:

    1. Munasib, Abdul & Rickman, Dan S., 2015. "Regional economic impacts of the shale gas and tight oil boom: A synthetic control analysis," Regional Science and Urban Economics, Elsevier, vol. 50(C), pages 1-17.
    2. Manuel Alejandro Cardenete & Ferran Sancho, 2012. "The Role Of Supply Constraints In Multiplier Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 24(1), pages 21-34, June.
    3. Sébastien Mary & Euan Phimister & Deborah Roberts & Fabien Santini, 2013. "Testing the sensitivity of CGE results: A Monte Carlo Filtering approach to an application to rural development policies in Aberdeenshire," JRC Research Reports JRC85290, Joint Research Centre.
    4. Artis Kancs, 2001. "Predicting European Enlargement Impacts: A Framework of Interregional General Equilibrium," Eastern European Economics, Taylor & Francis Journals, vol. 39(5), pages 31-63, September.
    5. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    6. Harrigan, Frank & McGregor, Peter G & Swales, J K, 1996. "The System-Wide Impact on the Recipient Region of a Regional Labour Subsidy," Oxford Economic Papers, Oxford University Press, vol. 48(1), pages 105-133, January.
    7. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
    8. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    9. Ochuodho, Thomas O. & Alavalapati, Janaki R.R., 2016. "Integrating natural capital into system of national accounts for policy analysis: An application of a computable general equilibrium model," Forest Policy and Economics, Elsevier, vol. 72(C), pages 99-105.
    10. G. Andrew Bernat, Jr. & Kenneth Hanson, 1995. "Regional Impacts Of Farm Programs: A Top-Down CGE Analysis," The Review of Regional Studies, Southern Regional Science Association, vol. 25(3), pages 331-350, Winter.
    11. Gary Gillespie & Peter Mcgregor & J. Kim Swales & Ya Ping Yin, 2001. "The Displacement and Multiplier Effects of Regional Selective Assistance: A Computable General Equilibrium Analysis," Regional Studies, Taylor & Francis Journals, vol. 35(2), pages 125-139.
    12. Ghaith, Ziad & Kulshreshtha, Suren & Natcher, David & Cameron, Bobby Thomas, 2021. "Regional Computable General Equilibrium models: A review," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 710-724.
    13. Edward C. Waters & David W. Holland & Bruce A. Weber, 1997. "Economic Impacts of a Property Tax Limitation: A Computable General Equilibrium Analysis of Oregon's Measure 5," Land Economics, University of Wisconsin Press, vol. 73(1), pages 72-89.
    14. Mardones D., Cristián, 2012. "Chile: building a computable general equilibrium model with an application to the Bío Bío region," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    15. Rickman, Dan S., 1995. "A bayesian analysis of the use of pooled coefficients in a structural regional economic model," International Journal of Forecasting, Elsevier, vol. 11(3), pages 477-490, September.
    16. Lei Zhang & Henry Kinnucan & Jing Gao, 2016. "The Economic Contribution of Alabama’s Automotive Industry to Its Regional Economy," Economic Development Quarterly, , vol. 30(4), pages 295-315, November.
    17. Peter G. McGregor & Eric P. McVittie & J. Kim Swales & Ya Ping Yin, 2000. "The Neoclassical Economic Base Multiplier," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 1-31, February.
    18. Sena, Kenton & Ochuodho, Thomas O. & Agyeman, Domena A. & Contreras, Marco & Niman, Chad & Eaton, Dan & Yang, Jian, 2022. "Wood bioenergy for rural energy resilience: Suitable site selection and potential economic impacts in Appalachian Kentucky," Forest Policy and Economics, Elsevier, vol. 145(C).
    19. Christopher Hannum, 2015. "Comparing approaches to economic impact analysis of property redevelopment," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 33(4), pages 362-373, July.
    20. Chun-Chu Liu, 2006. "A computable general equilibrium model of the southern region of Taiwan: the impact of the Tainan science-based industrial park," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1655-1661.
    21. Mark D. Partridge & Dan S. Rickman, 2012. "Integrating Regional Economic Development Analysis and Land Use Economics," Economics Working Paper Series 1203, Oklahoma State University, Department of Economics and Legal Studies in Business.
    22. Goodman, D. Jay, 2003. "Are Economic Development Incentives Worth it? A Computable General Equilibirum Analysis of Pueblo, Colorado's Efforts to Attract Business," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 33(1), pages 1-13.
    23. David Holland & Abdul Razack, 2006. "Assessing the Economic Impact of an Agricultural Export Shock on the Washington Economy: A Tale of Two Models," Working Papers 2006-11, School of Economic Sciences, Washington State University.

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