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Local Preferences for Economic Development Outcomes: Analytical Hierarchy Procedure

Author

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  • Anna M. Cox
  • Jeffrey Alwang
  • Thomas G. Johnson

Abstract

Governments frequently formulate policies designed to stimulate regional economic development. Rarely, however, are efforts made to measure local preferences for economic development outcomes. While the political process should eventually sort out how well local governments are meeting the needs of their constituents, the irreversible nature of many development outcomes makes it preferable to incorporate local preferences directly into the decision making process. This paper presents a straightforward means of measuring preference trade‐offs. The analytical hierarchy procedure is applied to local economic development outcomes in three Virginia counties and is shown to improve the targeting of industries by incorporating local preferences in the targeting process. The method has wide applicability for different development decisions.

Suggested Citation

  • Anna M. Cox & Jeffrey Alwang & Thomas G. Johnson, 2000. "Local Preferences for Economic Development Outcomes: Analytical Hierarchy Procedure," Growth and Change, Wiley Blackwell, vol. 31(3), pages 341-366.
  • Handle: RePEc:bla:growch:v:31:y:2000:i:3:p:341-366
    DOI: 10.1111/0017-4815.00132
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    File URL: https://doi.org/10.1111/0017-4815.00132
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    1. Erdogmus, Senol & Kapanoglu, Muzaffer & Koc, Eylem, 2005. "Evaluating high-tech alternatives by using analytic network process with BOCR and multiactors," Evaluation and Program Planning, Elsevier, vol. 28(4), pages 391-399, November.
    2. Strager, Michael P. & Rosenberger, Randall S., 2006. "Incorporating stakeholder preferences for land conservation: Weights and measures in spatial MCA," Ecological Economics, Elsevier, vol. 58(1), pages 79-92, June.
    3. Masako Numata & Masahiro Sugiyama & Gento Mogi, 2020. "Barrier Analysis for the Deployment of Renewable-Based Mini-Grids in Myanmar Using the Analytic Hierarchy Process (AHP)," Energies, MDPI, Open Access Journal, vol. 13(6), pages 1-16, March.
    4. Erdogmus, Senol & Aras, Haydar & Koç, Eylem, 2006. "Evaluation of alternative fuels for residential heating in Turkey using analytic network process (ANP) with group decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(3), pages 269-279, June.
    5. Aras, Haydar & Erdoğmuş, Şenol & Koç, Eylem, 2004. "Multi-criteria selection for a wind observation station location using analytic hierarchy process," Renewable Energy, Elsevier, vol. 29(8), pages 1383-1392.
    6. Харизма Б. & Реми С. & Нур А. М., 2019. "Определение Приоритетов Местного Самоуправления В Инфраструктуре Здравоохранения С Использованием Метода Аналитической Иерархии: Пример Местных Органов Власти В Провинции Западная Ява," Вопросы государственного и муниципального управления // Public administration issues, НИУ ВШЭ, issue 5, pages 155-182.
    7. Ozgur Demirta, 2013. "Evaluating the Best Renewable Energy Technology for Sustainable Energy Plannin," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 23-33.
    8. Kurek, Katarzyna A. & Heijman, Wim & van Ophem, Johan & Gędek, Stanisław & Strojny, Jacek, 2020. "The impact of geothermal resources on the competitiveness of municipalities: evidence from Poland," Renewable Energy, Elsevier, vol. 151(C), pages 1230-1239.
    9. Bayu Kharisma & Sutyastie Remi & Andar Noor, 2019. "Setting Local Government Priorities in Healthcare Infrastructure Using the Analytical Hierarchy Process Approach: The Cases of Local Governments in West Java Province," Public administration issues, Higher School of Economics, issue 5, pages 155-182.
    10. Strager, Michael P. & Rosenberger, Randall S., 2006. "Incorporating stakeholder preferences for land conservation: Weights and measures in spatial MCA," Ecological Economics, Elsevier, vol. 57(4), pages 627-639, June.

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