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The Economic Impacts of the Prison Development Boom on Persistently Poor Rural Places

Author

Listed:
  • Amy K. Glasmeier

    (Department of Geography, The Pennsylvania State University, akg1@ems.psu.edu)

  • Tracey Farrigan

    (Independent Scholar, tfarrigan@ers.usda.gov)

Abstract

Prison construction experienced explosive growth over the 1980s and 1990s. Many poor rural communities invited prisons into their environs, anticipating jobs and economic development. However, with one notable exception, no ex post empirical studies exist of the economic effects of prison construction on rural counties. Following an extensive review of the literature, this research uses a quasiexperimental control group method to examine the effect of state-run prisons constructed in rural counties between 1985 and 1995 on county earnings by employment sector, population, poverty rate, and degree of economic health. Analysis suggests a limited economic effect on rural places in general, but may have a positive impact on poverty rates in persistently poor rural counties, as measured by diminishing transfer payments and increasing state and local government earnings in places with relatively good economic health. However, there is little evidence that prison impacts were significant enough to foster structural economic change.

Suggested Citation

  • Amy K. Glasmeier & Tracey Farrigan, 2007. "The Economic Impacts of the Prison Development Boom on Persistently Poor Rural Places," International Regional Science Review, , vol. 30(3), pages 274-299, July.
  • Handle: RePEc:sae:inrsre:v:30:y:2007:i:3:p:274-299
    DOI: 10.1177/0160017607301608
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    References listed on IDEAS

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    1. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
    3. Rodgers, Willard L, 1984. "An Evaluation of Statistical Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 91-102, January.
    4. Bohm, Peter & Lind, Hans, 1993. "Policy evaluation quality : A quasi-experimental study of regional employment subsidies in Sweden," Regional Science and Urban Economics, Elsevier, vol. 23(1), pages 51-65, March.
    5. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    6. Isserman, Andrew M. & Merrifield, John, 1982. "The use of control groups in evaluating regional economic policy," Regional Science and Urban Economics, Elsevier, vol. 12(1), pages 43-58, February.
    7. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    8. Terance J. Rephann & Margaret Dalton & Anthony Stair & Andrew Isserman, 1997. "Casino Gambling as an Economic Development Strategy," Tourism Economics, , vol. 3(2), pages 161-183, June.
    9. Broder, Josef M. & Taylor, Teresa D. & McNamara, Kevin T., 1992. "Quasi-Experimental Designs For Measuring Impacts Of Developmental Highways In Rural Areas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-9, July.
    10. Cynthia L. Rogers & Richard Marshment, 2000. "Measuring Highway Bypass Impacts on Small Town Business Districts," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 12(3), pages 250-265, November.
    11. Bassi, Laurie J, 1984. "Estimating the Effect of Training Programs with Non-Random Selection," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 36-43, February.
    12. Rephann, Terance & Isserman, Andrew, 1994. "New highways as economic development tools: An evaluation using quasi-experimental matching methods," Regional Science and Urban Economics, Elsevier, vol. 24(6), pages 723-751, December.
    13. Broder, Josef M. & Taylor, Teresa D. & McNamara, Kevin T., 1992. "Quasi-Experimental Designs For Measuring Impacts Of Developmental Highways In Rural Areas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(1), pages 199-207, July.
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    Cited by:

    1. John M. Eason, 2017. "Prisons as Panacea or Pariah? The Countervailing Consequences of the Prison Boom on the Political Economy of Rural Towns," Social Sciences, MDPI, vol. 6(1), pages 1-23, January.
    2. Daniel S. Grossman & Brad R. Humphreys & Jane E. Ruseski, 2019. "Out of the outhouse: The impact of place‐based policies on dwelling characteristics in Appalachia," Journal of Regional Science, Wiley Blackwell, vol. 59(1), pages 5-28, January.
    3. Juan Tomas Sayago-Gomez & Gianfranco Piras & Donald Lacombe & Randall Jackson, 2015. "Impact Evaluation of Investments in the Appalachian Region: A Reappraisal," Working Papers Working Paper 2015-06, Regional Research Institute, West Virginia University.
    4. Mulugeta S. Kahsai & Randall Jackson, 2015. "Quasi-Experimental Methods an Annotated Bibliography," Working Papers Resource Document 2015-01, Regional Research Institute, West Virginia University.

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