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Improved Prospects for Rural Development: An Industrial Targeting System for the Great Plains

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  • John C. Leatherman
  • Donald J. Howard
  • Terry L. Kastens

Abstract

This research introduces an industrial targeting system intended to improve local decision making related to selection of targets for business recruitment. The Plains Economic Targeting System (PETS) consists of a series of econometric equations that match industry input and market requirements with community characteristics to generate a probability of new business location over a given time period. The system matches location requirements for 78 industry sectors to local characteristics for 414 counties in six Great Plains states. Further, the coefficients generated for a given county are transformed into marginal impacts, providing important information relating to local policies that can improve the probability of attracting a given industry.

Suggested Citation

  • John C. Leatherman & Donald J. Howard & Terry L. Kastens, 2002. "Improved Prospects for Rural Development: An Industrial Targeting System for the Great Plains," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 59-77.
    • Handle: RePEc:oup:revage:v:24:y:2002:i:1:p:59-77.
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    File URL: http://hdl.handle.net/10.1111/1467-9353.00084
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    References listed on IDEAS

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    1. Timothy J. Bartik, 2010. "Small Business Start-Ups in the United States: Estimates of the Effects of Characteristics of States," Book chapters authored by Upjohn Institute researchers, in: Zolton Acs (ed.),Entrepreneurship and regional Development, pages 155-169, W.E. Upjohn Institute for Employment Research.
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    6. Kusmin, Lorin D., 1994. "Factors Associated with the Growth of Local and Regional Economies: A Review of Selected Empirical Literature," Staff Reports 278733, United States Department of Agriculture, Economic Research Service.
    7. Rowley, Thomas D., 1998. "Sustaining the Great Plains," Rural America/ Rural Development Perspectives, United States Department of Agriculture, Economic Research Service, vol. 13(1), February.
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    Cited by:

    1. Karima Kourtit & Peter Nijkamp & Mark D. Partridge & Gordon F. Mulligan, 2013. "The future of non-metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(2), pages 219-224, June.
    2. Tessa Conroy & Steven Deller & Alexandra Tsvetkova, 2017. "Interstate Relocation Of Manufacturers And Business Climate," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 29(1), pages 18-45, March.
    3. Craig W. Carpenter & Anders Van Sandt & Rebekka Dudensing & Scott Loveridge, 2022. "Profit Pools and Determinants of Potential County-Level Manufacturing Growth," International Regional Science Review, , vol. 45(2), pages 188-224, March.
    4. Kalyan Chakraborty, 2012. "Estimation of Minimum Market Threshold for Retail Commercial Sectors," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 271-286, August.
    5. Nagy, Cecil N. & Olfert, M. Rose & Skotheim, J., 2004. "Targeting Business Investment in Rural Communities," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 34(4), pages 1-21.
    6. Leatherman, John C., 2002. "Industry Location Modeling: Extensions Of The Plains Economic Targeting System," Western Economics Forum, Western Agricultural Economics Association, vol. 1(1), pages 1-5.
    7. Davis Reum, Alison & Harris, Thomas R., 2006. "Exploring Firm Location Beyond Simple Growth Models: A Double Hurdle Application," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-23.
    8. Conroy, Tessa & Deller, Steven & Tsvetkova, Alexandra, 2016. "Regional business climate and interstate manufacturing relocation decisions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 155-168.

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