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Community input-output models for rural area analysis with an example from central Idaho


  • M. Henry Robison

    (Economic Modeling Specialists, Inc., 606 Hathaway St., Moscow, ID 83843-9506, USA)


In this paper we outline an I-O modeling approach tailored to the needs of rural area analysis. We cover four essential features. First, the rural area I-O model must convey an individual community focus. Second, the household sector must be defined in a manner that specifically captures the great openness of rural community economies. Third, the model should offer a degree of closure that provides an assessment of the community economic base. And finally, the rural community I-O model must be defined to include estimates of intercommunity trade, and intercommunity multiplier effects. Having laid the theoretical foundations, we identify subcounty data sources, and describe a collection of nonsurvey and hybrid approaches for estimating model components. The community I-O approach is illustrated next, with an empirical example from central Idaho. The paper closes with a discussion that considers the implications of community I-O in other contexts, including I-O analysis in less developed countries, and in addressing modeling issues in larger nonrural regions.

Suggested Citation

  • M. Henry Robison, 1997. "Community input-output models for rural area analysis with an example from central Idaho," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(3), pages 325-351.
  • Handle: RePEc:spr:anresc:v:31:y:1997:i:3:p:325-351
    Note: Received: 7 March 1996 / Accepted in revised form: 26 February 1997

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    Cited by:

    1. Elena G. Irwin & Andrew M. Isserman & Maureen Kilkenny & Mark D. Partridge, 2010. "A Century of Research on Rural Development and Regional Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 522-553.
    2. Angjellari-Dajci, Fiorentina & Cebula, Richard & Boylan, Robert & Borg, Rody, 2015. "Uncovering Hidden Industry Linkages in Northeast Florida’s Regional Economy: The Case for Export Expansion in Florida’s Fourth Largest MSA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    3. Gordon Mulligan, 2010. "Revisiting interindustry employment requirements in nonmetropolitan economies," Letters in Spatial and Resource Sciences, Springer, vol. 3(2), pages 61-70, July.
    4. Midmore, Peter & Whittaker, Julie, 2000. "Economics for sustainable rural systems," Ecological Economics, Elsevier, vol. 35(2), pages 173-189, November.
    5. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    6. Geoffrey Black & John Church & Donald Holley, 2004. "Empirical estimation of agglomeration economies associated with research facilities," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 32(4), pages 320-328, December.
    7. Biles, James J., 2003. "Using Spatial Econometric Techniques to Estimate Spatial Multipliers: An Assessment of Regional Economic Policy in Yucatan, Mexico," The Review of Regional Studies, Southern Regional Science Association, vol. 33(2), pages 121-141.

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