IDEAS home Printed from https://ideas.repec.org/p/ags/vpturp/14856.html
   My bibliography  Save this paper

Community Preferences For Types Of Businesses: A Case Study Of Three Counties

Author

Listed:
  • Cox, Anna M.
  • Alwang, Jeffrey Roger
  • Johnson, Thomas G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Cox, Anna M. & Alwang, Jeffrey Roger & Johnson, Thomas G., 1998. "Community Preferences For Types Of Businesses: A Case Study Of Three Counties," Report Papers 14856, Virginia Tech, Rural Economic Analysis Program (REAP).
  • Handle: RePEc:ags:vpturp:14856
    DOI: 10.22004/ag.econ.14856
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14856/files/rr980032.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.14856?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lamie, R. David, 1998. "The Economic Impact Of Agriculture And Ag-Related Industries On The Commonwealth Of Virginia," Report Papers 14848, Virginia Tech, Rural Economic Analysis Program (REAP).
    2. Fichtner, John, 1986. "On deriving priority vectors from matrices of pairwise comparisons," Socio-Economic Planning Sciences, Elsevier, vol. 20(6), pages 341-345.
    3. Lauro, George L. & Vepsalainen, Ari P. J., 1986. "Assessing technology portfolios for contract competition: An analytic hierarchy process approach," Socio-Economic Planning Sciences, Elsevier, vol. 20(6), pages 407-415.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bice Cavallo, 2019. "Coherent weights for pairwise comparison matrices and a mixed-integer linear programming problem," Journal of Global Optimization, Springer, vol. 75(1), pages 143-161, September.
    2. Chou, Yuntsai & Lee, Chiwei & Chung, Jianru, 2004. "Understanding m-commerce payment systems through the analytic hierarchy process," Journal of Business Research, Elsevier, vol. 57(12), pages 1423-1430, December.
    3. Gomez-Limon, J.A. & Atance, I., 2004. "Identification of public objectives related to agricultural sector support," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 1045-1071, December.
    4. D'ora Gr'eta Petr'oczy & L'aszl'o Csat'o, 2019. "Revenue allocation in Formula One: a pairwise comparison approach," Papers 1909.12931, arXiv.org, revised Dec 2020.
    5. José A. Gómez-Limón & Ignacio Atance, 2004. "Identification of Public Objectives Related to Agricultural Sector Support," Economic Working Papers at Centro de Estudios Andaluces E2004/57, Centro de Estudios Andaluces.
    6. Pérez-Mesa, Juan Carlos & Galdeano-Gómez, Emilio & Salinas Andújar, Jose A., 2012. "Logistics network and externalities for short sea transport: An analysis of horticultural exports from southeast Spain," Transport Policy, Elsevier, vol. 24(C), pages 188-198.
    7. Laininen, Pertti & Hamalainen, Raimo P., 2003. "Analyzing AHP-matrices by regression," European Journal of Operational Research, Elsevier, vol. 148(3), pages 514-524, August.
    8. Furtado, Susana & Johnson, Charles R., 2024. "Efficiency analysis for the Perron vector of a reciprocal matrix," Applied Mathematics and Computation, Elsevier, vol. 480(C).
    9. Lin, Chang-Chun, 2007. "A revised framework for deriving preference values from pairwise comparison matrices," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1145-1150, January.
    10. Kim, Deok-Hwan & Kim, Kwang-Jae & Sam Park, K., 2010. "Compromising prioritization from pairwise comparisons considering type I and II errors," European Journal of Operational Research, Elsevier, vol. 204(2), pages 285-293, July.
    11. Fatima Lambarraa-Lehnhardt & Rico Ihle & Hajar Elyoubi, 2021. "How Successful Is Origin Labeling in a Developing Country Context? Moroccan Consumers’ Preferences toward Local Products," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    12. Cooper, Orrin & Yavuz, Idil, 2016. "Linking validation: A search for coherency within the Supermatrix," European Journal of Operational Research, Elsevier, vol. 252(1), pages 232-245.
    13. Altuzarra, Alfredo & Moreno-Jimenez, Jose Maria & Salvador, Manuel, 2007. "A Bayesian priorization procedure for AHP-group decision making," European Journal of Operational Research, Elsevier, vol. 182(1), pages 367-382, October.
    14. Jana Siebert, 2019. "Fuzzy eigenvector method for deriving normalized fuzzy priorities from fuzzy multiplicative pairwise comparison matrices," Fuzzy Optimization and Decision Making, Springer, vol. 18(2), pages 175-197, June.
    15. Trupo, Paul & Alwang, Jeffrey Roger & Lamie, R. David, 1998. "The Economic Impact Of Migrant, Seasonal, And H-2a Farmworkers On The Virginia Economy," Report Papers 14836, Virginia Tech, Rural Economic Analysis Program (REAP).
    16. József Temesi, 2011. "Pairwise comparison matrices and the error-free property of the decision maker," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(2), pages 239-249, June.
    17. Alfredo Altuzarra & José María Moreno-Jiménez & Manuel Salvador, 2010. "Consensus Building in AHP-Group Decision Making: A Bayesian Approach," Operations Research, INFORMS, vol. 58(6), pages 1755-1773, December.
    18. Michele Fedrizzi & Nino Civolani & Andrew Critch, 2020. "Inconsistency evaluation in pairwise comparison using norm-based distances," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 657-672, December.
    19. C-C Lin, 2006. "An enhanced goal programming method for generating priority vectors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1491-1496, December.
    20. Chun, Dongphil & Hong, Sungjun & Chung, Yanghon & Woo, Chungwon & Seo, Hangyeol, 2016. "Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1252-1258.

    More about this item

    Keywords

    Community/Rural/Urban Development;

    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:ags:vpturp:14856. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daavtus.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.