Decisions of stakeholders for the proposed artificial reef deployment: Analytic hierarchy process approach

Özet: Bugüne kadar Türkiyede yapay resif alanlarının etkin kullanımı ve paylaşımıyla ilgili ticari balıkçılar, amatör balıkçılar ve yöre sakinlerini ele alan farklı paydaş gruplarının kararları değerlendirilmemiştir. Bu çalışmada, söz konusu denizel alanla ilgili mevcut durum, yapay resif ve deniz rezervi senaryonlarını içeren deneysel senaryolarla paydaşların kararlarını analiz etmek üzere çoklu karar verme sürecinde yaygın olarak kullanılan bir teknik (Analitik Hiyerarşi Süreci) kullanılmıştır. Sonuç olarak, yapay resif uygulaması ticari ve amatör balıkçılar tarafından desteklenmiştir. Ancak amaçlanan yapay resif yapılarının gelecek kullanım hakları ile ilgili görüşler araştırma grupları arasında farklılık göstermiştir. Amaçlanan yapay resiflerin farklı paydaş grupları arasında tahsis edilmesi üç grup tarafından da % 50nin üzerinde kabul görmüştür. Gelecek çalışmalar için model olacak bu çalışmada yapay resiflerin önemi, potansiyel kullanıcıların yüksek destekleme eğilimiyle ekonomik, biyolojik ve sosyal faydaları ele alınarak ortaya koyulmuştur.

Yerleştirilmesi amaçlanan yapay resifler için paydaşların kararları: Analitik hiyerarşi süreci yaklaşımı

Abstract: Decisions of different stakeholders which includes commercial fishermen, recreational fishermen and local residents through efficient use and share of artificial reefs sites were not been assessed up to present in Turkey. With the commonly used technique for multi-cirteria decision making process (Analytic Hierarchy Process) was used to analyze stakeholder decision through experimental scenarios which includes current status, artificial reef deployment and marine reserve related to marine area in question. In result, artificial deployment act was supported by commercial and recreational fishermen; however, opinions through future use rights of purposed artificial reef structures were diversified among study groups. Allocation of proposed AR sites among different stakeholders were agreed by three focus groups with acceptance at rates over 50%. Importance of artificial reefs were presented by accounting economic, biologic, social benefits and management gaps with high tendecy of support by potantial direct users in this study, which is also thought to be a model for future studies.

PDF

___

Alphonce, C., 1997. Application of the analytic hierarchy process in agriculture in developing countries. Agricultural Systems, 53:97-112. doi:10.1016/S0308-521X(96)00035-2 Asafu-Adjaye, J., Tapsuwan, S., 2008. A contingent valuation study of scuba diving benefits: Case study in Mu Ko Similan Marine National Park. Tourism Management, 29(6):1122-1130. doi:10.1016/j.tourman.2008.02.005 Braunschweig, T., Becker, B., 2004. Choosing research priorities by using the analytic hierarchy process: an application to international agriculture. R&D Management, 34:77-86. doi:10.1111/j.1467-9310.2004.00324.x Ditton, R.B., Osburn, H.R., Baker, T.L., Thailing, C.E., 2002. Demographics, attitudes, and reef management preferences of sport divers in offshore Texas waters. ICES Journal of Marine Science, 59:186-191. doi:10.1006/jmsc.2002.1188 Forman, E.H., Selly, M.A., 2000. Decision by Objectives, How to Convince Others That You are Right. World Scientific. Singapore, 402 p. Gómez-Limón, J., Atance, I., 2004. Identification of public objectives related to agricultural sector support. Journal of Policy Modeling, 26:1045-1071. doi:10.1016/j.jpolmod.2004.07.005 Gómez-Limón, J.A., Riesgo, L., 2008. Alternative approaches on constructing a composite indicator to measure agricultural sustainability. The Proceedings of the 107th EAAE Seminar. "Modelling of Agricultural and Rural Development Policies". January 29th-February 1st, Sevilla, Spain. 324 p. Greene, W., 2003. Econometric Analysis. 5th ed. Prentice Hall. New Jersey. 206 p. Gujarati, N.D., 2004. Basic Econometrics. McGraw-Hill. Forth Edition, USA. Guo, L.S., He, Y.S. 1999. Integrated multi-criteria decision model: a case study for the allocation of facilities in Chinese agriculture. Journal of Agricultural Engineering Research, 73:87-94. doi:10.1006/jaer.1998.0393 Günden, C., Miran, B., 2008. Analysis of Farmers Fundemantal Farm Management Decisions in Terms of Priority and Getting Support (in Turkish with English abstract). Tekirdağ Ziraat Fakültesi Dergisi, 5(2):67-80. Günden, C., Miran, B., Uysal, Ö.K., Bektaş, Z.K., 2008. Determination of Consumer Preferences for Purchasing Place of Fresh Fruit and Vegetable Considered Food Safety, Quality and Price by using Analytic Hierarchy Process in İzmir (in Turkish with English abstract). Finans Politik & Ekonomik Yorumlar, 45(522):29-40. Hiett, R., Milon, J.W., 2002. Economic Impact of Recreational fishing and Diving Associated with Offshore Oil and Gas Structures in the Gulf of Mexico. DOI Minerals Management Service Document MMS Study, 10 p. Johns, G., Leeworthy, V.R., Bell, F.W., Bonn, M.A., 2001. Socioeconomic Study of Reefs in Southeast Florida Final Report prepared for Miami-Dade County, Florida by Hazen and Sawyer P.C. Miami, FL. 348 p. Kahraman, C., Cebeci, U., Ulukan, Z., 2003. Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6):382-394. doi:10.1108/09576050310503367 Kahraman, C., Cebeci, U., Ruan, D., 2004. Multi-attribute comparison of catering service companies using Fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87:171-184. doi:10.1016/S0925-5273(03)00099-9 Karami, E., 2006. Appropriateness of farmers adoption of irrigation methods: The application of the AHP model. Agricultural Systems, 87:101-119. doi:10.1016/j.agsy.2005.01.001 Kauko, T., 2006. Expressions of housing consumer preferences: Proposition for a research agenda housing. Theory and Society, 23(2):92-108. doi:10.1080/14036090600773097 Ko, W.H., Chiu, C.P., 2006. A new coffee shop location planning for customer satisfaction in Taiwan. International Journal of the Information Systems for Logistics and Management (IJISLM), 2(1):55-62. Kong, F., Liu, H., 2005. Applying fuzzy analytic hierarchy process to evaluate success factors of e-commerce. International Journal of Information and Systems Sciences, 1(3-4):406-412. Mainuddin, M., Gupta, A., Onta, P., 1997. Optimal crop planning model for an existing groundwater irrigation project in Thailand. Agricultural Water Management, 33:43-62. doi:10.1016/S0378-3774(96)01278-4 Milon, J.W., 1988. Travel Cost Methods For Estimating The Recreational Use Benefits Of Artificial Marine Habitat. Southern Journal Of Agricultural Economics, 87-101. Milon, J.W., Holland, S.M., Whitmarsh, D.J., 2000. Artificial Reef Evaluation With Application To Natural Marine Habitats. CRC Press. 246 p. Miran, B., 2003. Basic Statistics (in Turkish). Ege University Press. ISBN 975-9308800, Bornova, İzmir. 297 p. Morgana, O.A., Massey, D.M., Huth, W.L., Hall, R., 2008. Demand for Diving on Large Ship Artificial Reefs. Marine Resource Economics, 24:43-59. Oh, C, Ditton, R.B., Stoll, J.R., 2008. The Economic Value of Scuba-Diving Use of Natural and Artificial Reef Habitats. Society & Natural Resources, 21(6):455-468. doi:10.1080/08941920701681953 Parra-López, C., Calatrava-Requena, J., 2006. A multifunctional comparison of conventional versus alternative olive systems in Spain by using AHP. International Association of Agricultural Economists Conference. Gold Coast, August 12-18, Australia. Pendleton, L.H., 2004. Creating Underwater Value: The Economic Value of Artificial Reefs for Recreational Diving. Report of Program in Environmental Science and Engineering Department of Environmental Health Sciences University of California, Los Angeles California Artificial Reef Enhancement Division. 234 p. Prakash, T.N., 2003. Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach. Master of Science Thesis. International Institute for Geo-Information Science and Earth Observation. Enschede, The Netherlands. 57 p. Rezaei-Moghaddam, K., Karami, E., 2008. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment Development and Sustainability, 10:407-426. doi:10.1007/s10668-006-9072-1 Qureshi, M.E., Harrison, S.R., 2003. Application of the Analytic Hierarchy Process to piparian revegetation policy options. Small-scale Forest Economics, Management and Policy, 2(3):441-458. doi:10.1007/s11842-003-0030-6 Ramos, J., Santos, M.N., Whitmarsh, D., Monteiro, C.C., 2006. The Usefulness of the Analytic Hierarchy Process for Understanding Reef Diving Choices: A Case Study. Bulletin of Marine Science, 78(1):213-219. Saaty, T.L., 1980. The Analytic Hierarchy Process: Planning Priority Setting. Resource Allocation, McGraw-Hill, New York. 287 p. Saaty, T.L., 1990. How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48:9-26. doi:10.1016/0377-2217(90)90057-I Saaty, T.L., Vargas, L.G., Dellmann, K., 2003. The allocation of intangible resources: the analytic hierarchy process and linear programming. Socio-Economic Planning Sciences, 37:169184. doi:10.1016/S0038-0121(02)00039-3 Saaty, T.L., 2008. Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1: 83-98. doi:10.1504/IJSSCI.2008.017590 Simona, M., Romana, B., 2006. Multifunctional agriculture: values and preferences of society. International Scientific Days 2006, "Competitivness in the EU Challenge for the V4 countries". Faculty of Economic and Management SAU in Nitra. 267-273. Sutton, S.G., Bushnell, S.L., 2007. Socio economic aspects of artificial reefs Considerations for the Great Barrier. Ocean & Coastal Management, 50:829-846. doi:10.1016/j.ocecoaman.2007.01.003 Turkish Statistical Institute (TSI), 2011. The Results of Address Based Population Registration System. _____www.tuik.gov.tr> Wang, M., Liu, P., Ou, G., 2007. The Evaluation study of customer satisfaction based on grayAHP Method for B2C Electronic-Commerce Enterprise. Engineering Letters, 15(1):157-162. Whitmarsh, D, Santos, M.N., Ramos, J., Monteiro, C.C., 2008. Marine habitat modification through artificial reefs of the Algarve (southern Portugal): An economic analysis of the fisheries and the prospects for management. Ocean & Coastal Management, 51(6):463-468. doi:10.1016/j.ocecoaman.2008.04.004