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شناسایی و رتبهبندی چالشهای کشاورزی استان گیلان با استفاده از فرآیند تحلیل سلسله مراتبی | ||
| تحقیقات سامانهها و مکانیزاسیون کشاورزی | ||
| دوره 23، شماره 81، خرداد 1401، صفحه 57-74 اصل مقاله (1.38 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/amsr.2022.357132.1406 | ||
| نویسندگان | ||
| ناهید طاهرزاده شالمائی1؛ حسن قاسمی مبتکر* 2 | ||
| 1دانشجوی دکتری مهندسی مکانیزاسیون کشاورزی، گروه مهندسی ماشینهای کشاورزی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران | ||
| 2استادیار مهندسی مکانیزاسیون کشاورزی، گروه مهندسی ماشینهای کشاورزی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران | ||
| چکیده | ||
| هدف از این پژوهش، معرفی مهمترین چالشهای پیش روی توسعۀ کشاورزی استان گیلان است. بدین منظور، برای شناسایی و رتبهبندی چالشهای بخش کشاورزی استان گیلان از فرآیند تحلیل سلسله مراتبی استفاده و برای این کار شش معیار مؤثر به همراه 21 زیرمعیار در نظر گرفته شد. برای تعیین وزن معیارها و زیرمعیارها، پرسشنامههایی بر مبنای مقایسههای زوجی تهیه و از کارشناسان خبرۀ جهاد کشاورزی استان گیلان برای تکمیل پرسشنامهها استفاده شد. با توجه به وزن به دست آمده از چالشهای مدیریتی (368/0)، قطعه قطعه بودن زمین (229/0)، کمبود صنایع تبدیلی و تکمیلی و نیروی انسانی متخصص و ماهر (155/0)، محدودیت منابع و تغییر کاربری زمین (126/0)، سطح مکانیزاسیون پایین در بخش کشاورزی (076/0) و کشت تکمحصولی و واردات بیرویه محصولات کشاورزی (047/0) معیارها به ترتیب رتبهبندی شدند. استفادۀ نادرست از منابع و سرمایهگذاریهای ناکافی (157/0)، استفاده نکردن از سیاستهای حمایتی و اعتباری (121/0) و پرداخت نشدن یارانه به صورت درصدی از حق بیمه به تمامی بیمهگذاران به طور یکسان و نگاه بیمسئولانۀ دولت و بیمهگذاران به بیمۀ کشاورزی (085/0)، سه زیرمعیار مهم با توجه به بیشترین وزن به دست آمده هستند. | ||
| کلیدواژهها | ||
| تصمیمگیری چندمعیاره؛ چالش مدیریتی؛ حق بیمۀ کشاورزان | ||
| عنوان مقاله [English] | ||
| Identifyingand Ranking the Agricultural Challenges of Guilan Province Using the Hierarchical Analysis Process | ||
| نویسندگان [English] | ||
| Nahid Taherzadeh-Shalmaei1؛ Hassan Ghasemi Mobtaker2 | ||
| 1Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran | ||
| 2Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran | ||
| چکیده [English] | ||
| The purpose of this study is to introduce the most important challenges in advancing agricultural development in Guilan province. For this purpose, hierarchical analysis process was used to identify and rank the challenges of the agricultural sector of Guilan province. In this regard, six effective criteria along with 21 sub-criteria were considered. To determine the weight of criteria and sub-criteria, questionnaires based on pairwise comparisons were prepared and experts from Ministry of Agriculture Jihad of Guilan province were questioned to complete the questionnaires and the Expert Choice software was used to perform the calculations. According to the results, criteria of managerial challenges (0.368), fragmentation of land (0.229), lack of conversion and complementary industries and specialized and skilled human labor (0.155), resource limitation and land use change (0.126), low level of mechanization in the agricultural sector (0.076) and single crop cultivation and uncontrolled import of agricultural products (0.047) were ranked, respectively. Also inadequate use of inadequate resources and investments (0.157), failure to use supportive and credit policies (0.121) and non-payment of subsidies as a percentage of premiums to all insurers equally and irresponsible view of government and insurers on agricultural insurance (0.085), are three important sub-criteria with respect to the maximum weight obtained. | ||
| کلیدواژهها [English] | ||
| Multi-criteria Decision Making, Management Challenge, Farmers', Premiums | ||
| مراجع | ||
|
Abo-Sinna, M. A., & Amer, A. H. (2005). Extensions of TOPSIS for multi-objective largescale nonlinear programming problems. Applied Mathematics and Computation, 162(1), 243-256.
Akbari, A., & Bakhshodeh, M. (2000). Evaluating the effect of input price change on agricultural outputs in Kerman. Agricultural Economics and Development, 8(29), 121-132. (in Persian)
Akıncı, H., Yavuz Özalp, A., & Turgut, B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97, 71-82.
Alipour, H., Jelvehdar Rabi, F., & Moghadas Farimani., Sh. (2009). Knowledge and orientation of researchers of the Agricultural Extension, Education and Research Organization towards sustainable agriculture. Journal of Research and Construction in Agriculture and Horticulture, 21(4), 110-119. (in Persian)
Amini, Sh., Rohani, A., Aghkhani, M. H., Abbaspour-Fard, M. H., & Asgharipour, M. R. (2020). Assessment of land suitability and agricultural production sustainability using a combined approach (Fuzzy-AHP-GIS): A case study of Mazandaran province, Iran. Information Processing in Agriculture. 7(3), 384-402.
Anon. (2020). National Statistics Portal. Iran. Available at: https://www.amar.org.ir.
Ansari, Y., & Hosseini-Yekani, S. A. (2015). Prioritization of financial components affecting investment in the agricultural sector in Kohgiluyeh and Boyer-Ahmad Provinces using hierarchical analysis. Agricultural Economics, 8(2), 157-173. (in Persian)
Aziz-Nasiri, S. (2011). Agricultural risk management using agricultural insurance based on climate indicators. World Insurance News, 161(1), 34-48. (in Persian)
Bachurmoz, A. M. A. (2003). The analytic hierarchy process at Dar Al – Hekma, Saudi Arabia. Interfaces, 33(1), 70-78.
Cranfield, J., Hertel, T. W., Eales, J. S., & Preckel, P. V. (1998). Changes in the structure of global food demand. American Journal of Agricultural Economics, 80(50), 1042-1050.
Duc, T. T. (2006). Using GIS and AHP technique for land- use suitability analysis. In International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Nov. 9-11, Hochiminh, Vietnam.
Fallahi, E. & Gholinezhad, S. (2014). Identifying and ranking the factors affecting farmers' satisfaction with rice crop insurance in Mazandaran province; Application of Analytic Hierarchy Process (AHP). Agricultural Economics Research, 6(1), 131-154. (in Persian)
Feˊli, S., Pezeshki Rad, Gh. R., Sedghi, H., Shahbazi, E., & Ghoreyshi Abhari. (2016). External factors affecting the agricultural extension system of Iran up to the horizon of 1404 solar year. Iranian Journal of Agricultural Economics and Development Research, 46(1), 157-166. (in Persian)
Ferroni, M., & Zhou, Y. (2012). Achievements and challenges in agricultural extension in India. Global Journal of Emerging Market Economics, 4(3), 319-346.
Forgionne, G. A. (2002). An AHP analysis of quality in AI and DSS Journals. Omega, 30(1), 171-183.
Ghanbari, Y., & Barghi, H. (2008). Major challenges in the sustainable development of agriculture in Iran. Development Strategy, 16(1), 218-234. (in Persian)
Hesari-Sharmeh, N., Habibi, A., & Arsalan Bad, M. R. (2016). Agricultural insurance: an appropriate solution in risk management. Insurance Industry Quarterly, 129(1), 697-702. (in Persian)
Kannan, G., & Haq, A. N. (2007). Analysis of interactions of criteria and sub-criteria for the selection of supplier in the built-in-order supply chain environment. International Journal of Production Research, 45(17), 3831-3852.
Karimi, S., Mosri-Gandoshmin, T., & Khademolhoseini, N. (2012). Mathematical modelling of maintenance costs and analysis of economic life of agricultural machinery (case study: West Azerbaijan Province). Journal of Agricultural Science and Sustainable Production, 22(4), 87-98. (in Persian)
Kazemi, S. H. & Palouj, M. (2011). Evaluation of agricultural sector strategies in four five-year development plans. Agricultural Economics Research, 3(4), 39-65. (in Persian)
Kianmehr, N., & Hayati, D. (2017). Necessity and validation of the agricultural extension model supporting the poor from the perspective of Fars province agricultural extension staff. Journal of Agricultural Extension and Education Sciences, 12(2), 249-264. (in Persian)
Lai, V., Wong, B. K., & Cheung, W. (2002). Group decision making in a multiple criteria environment: A case using the AHP in the software selection. European Journal of Operational Research, 137(1),
Ngai, E. W. T. (2003). Selection of web sites for online advertising using AHP. Information and Management, 40(1), 233 - 242.
Pohekar, S. D., & Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning- a review. Renewable and Sustainable Energy Reviews, 8(4), 365- 381.
Pourkhabaz, H. R., Aghdar, H., Mohammadyari, F., & Rahimi, V. (2014). Implementation of agricultural ecological model using AHP and FAHP in GIS environment (case study: Khaeiz Behbahan Region). Planning and Arranging Space, 18(4), 86. (in Persian)
Rauscher, H. M., Lioyd, F. T., Loftis, D. L., & Twery, M. J. (2000). A practical decision-analysis process for forest ecosystem management. Computers and Electronics in Agriculture, 27(1), 195-226.
Rousta, K., Teymouri, M., & Falaki, M. (2013). Prioritization of crop cultivation in Birjand city using AHP technique. Journal of Agricultural Economics and Development, 20(3), 79. (in Persian)
Rezvani, M. R., Baghiani, H. R., & Jafari, S. (2015). New paradigms of rural development- policies and governance. Isfahan University Press. (in Persian)
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(1), 234-281.
Saaty, T. L. (2008). Decision making with the annalistic hierarchy process. International Journal Services Sciences, 1(1), 83-98.
Saddik, I. (1995). Credit and Investment in Egyptian agriculture: future perspectives in the light of the economic liberalization policies. Cairo, Faculty of Agriculture, Menoufeya University.
Sadeghi Ravesh, M. H., Ahmadi, H., Zehtabian, Gh. R., & Tahmores, M. (2010). Application of Hierarchical Analytical Process (AHP) in evaluating desertification strategies (case study: Khezrabad region of Yazd). Iranian Range and Desert Research, 17(1), 35-50. (in Persian)
Stock Berger, A., & Roe, B. (2003). Are Ohio dairy farmers satisfied with local suppliers? Ohio State, Farm management update.
Vaidya, O. S., & Kumari, S. (2003). Dependency and its predictions for systems and its components. International Journal of Quality and Rehabilitee Management, 20(1), 1096 - 1116.
Veisia, H., Liaghatia, H., & Alipour, A. (2016). Developing an ethics-based approach to indicators of sustainable agriculture using Analytic Hierarchy Process (AHP). Ecological Indicators, 60(1), 644-654.
Yang, T., & Hung, C. C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23(1), 126-137.
Yasouri, M. (2016). Introduction to Rural Economy. University of Guilan Publications. (in Persian)
Yazdan-Shenas, L., Sadralashrafim M., & Yazdani, S. (2005). Analysis of net investment in agricultural mechanization. In 5th International Conference on Agricultural Economy of Iran. Sept. 1. University of Sistan and Baluchestan, Iran. (in Persian) | ||
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