اخبار و اعلانات

 آمار

تعداد نشریات286
تعداد نشریات سازمان84
تعداد شماره‌ها2,920
تعداد مقالات32,927
تعداد مشاهده مقاله43,400,477
تعداد دریافت فایل اصل مقاله19,858,818
مجتهدی, فاطمه, حسینی یکانی, سید علی. (1402). بررسی اثر لحاظ مخاطره بر سطوح مصرف بهینة کود و سموم شیمیایی: مطالعة موردی استان مازندران. سامانه مدیریت نشریات علمی, 31(4), 1-18. doi: 10.30490/aead.2023.312205.1099
فاطمه مجتهدی; سید علی حسینی یکانی. "بررسی اثر لحاظ مخاطره بر سطوح مصرف بهینة کود و سموم شیمیایی: مطالعة موردی استان مازندران". سامانه مدیریت نشریات علمی, 31, 4, 1402, 1-18. doi: 10.30490/aead.2023.312205.1099
مجتهدی, فاطمه, حسینی یکانی, سید علی. (1402). 'بررسی اثر لحاظ مخاطره بر سطوح مصرف بهینة کود و سموم شیمیایی: مطالعة موردی استان مازندران', سامانه مدیریت نشریات علمی, 31(4), pp. 1-18. doi: 10.30490/aead.2023.312205.1099
مجتهدی, فاطمه, حسینی یکانی, سید علی. بررسی اثر لحاظ مخاطره بر سطوح مصرف بهینة کود و سموم شیمیایی: مطالعة موردی استان مازندران. سامانه مدیریت نشریات علمی, 1402; 31(4): 1-18. doi: 10.30490/aead.2023.312205.1099

بررسی اثر لحاظ مخاطره بر سطوح مصرف بهینة کود و سموم شیمیایی: مطالعة موردی استان مازندران

اقتصاد کشاورزی و توسعه
مقاله 1، دوره 31، شماره 4 - شماره پیاپی 124، اسفند 1402، صفحه 1-18    اصل مقاله (364.04 K)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.30490/aead.2023.312205.1099
نویسندگان
فاطمه مجتهدی* 1؛ سید علی حسینی یکانی2
1دانشجوی دکتری اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری
2دانشیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری.
چکیده
با توجه به تاثیر استفاده از سموم و کودهای شیمیایی بر محیط‌زیست و همچنین، با در نظر گرفتن اینکه مخاطره (ریسک) مسئله‌‏ای جدایی‌ناپذیر از بخش کشاورزی است، هدف پژوهش حاضر حداقل‌سازی مصرف دو نهاده کود و سم با در نظر گرفتن مخاطرة عملکرد در بخش کشاورزی بر اساس اطلاعات سال زراعی 1396-1395 بود. برای نیل به اهداف مطالعه، از الگوی برنامه‌ریزی آرمانی فازی استفاده و کلیه برآوردها در نرم‌افزار GAMS انجام شد؛ همچنین، از رهیافت CVaR به‏ منظور ورود مخاطره در الگو استفاده شد. نتایج برآوردها نشان داد که الگوی آرمانی فازی، با در نظر گرفتن هر سه هدف، نسبت به الگوی بدون مخاطره، نتایجی بهینه‌تر به‏ دست می‌دهد، زیرا الگوی به ‏دست ‏آمده به شرایط واقعی نزدیک‌تر است. با توجه به نتایج مطالعه، پیشنهاد می‌شود که الگوی مورد نظر برای هر کدام از محصولات به‌طور جداگانه و بر اساس اطلاعات هر محصول برآورد شود تا اهداف مورد بررسی به‌صورت منحصربه‏ فرد برای آن محصول مشخص شود.
کلیدواژه‌ها
الگوی برنامه‌‏ریزی آرمانی فازی (FGP)؛ حداقل‌سازی کود؛ حداقل‌سازی سم؛ CVaR؛ مازندران (استان)
عنوان مقاله [English]
Investigating the Effect of Risk on the Levels of Optimum Use of Fertilizers and Pesticides: A Case Study of Mazandaran Province of Iran
نویسندگان [English]
Fatemeh Mojtahedi1؛ Seyed-Ali Hosseini-Yekani2
1PHD Student of Agricultural Economics, Sari University of Agricultural Sciences and Natural Resources
2Associate Professors of agricultural economics, Sari University of Agricultural Sciences and Natural Resources
چکیده [English]
Introduction: Agriculture, as one of the main parts of development, plays a fundamental role in the economic development of countries. To develop this sector, farmers need suitable and acceptable policies and programs. It is important to pay attention to the fact that today, not only economic goals should be considered in agriculture, but as a source of damage in different areas, it is necessary to examine the environmental issues related to this sector. Furthermore, agriculture is an activity that comes with risk. Farmers live with risk and make decisions that affect agricultural yields. Therefore, this study aimed at concurrently reducing the usage of fertilizers and chemical pesticides, while also mitigating production risks.
Materials and Methods: To attain the study objectives, the Fuzzy Goal Programming (FGP) model was utilized, with all estimations carried out in GAMS. Additionally, the Conditional Value at Risk (CVaR) model was employed to capture and assess risk within the model framework. In the context of a fuzzy environment, goal programming can be formulated as FGP, incorporating three types of fuzzy goals as described in the equation as follows:
Where the sign ~ shows the fuzziness of the goal value. To establish the levels of goals within the model, initially, a distinct linear model was estimated for each of the study objectives.Top of Form The products in this study included wheat, barley, rice, corn, peas, lentils, sunflower, potato, onion, and Soybeans.
Results and Discussion: The comparison of the current situation and the results of single-objective models showed that considering the two goals of minimizing fertilizer and pesticide together would reduce the consumption of these two inputs in the final model. In the next step, the objective of risk minimization was incorporated as a significant factor in the goal-fuzzy model. The model was then simultaneously estimated based on the three goals: minimizing fertilizer, minimizing pesticides, and minimizing risk. The results of the model indicated that the consumption of fertilizer and pesticides in the final model had decreased compared to other models and the current situation. Additionally, this approach resulted in a model with lower associated risk.
Conclusions: Results of calculations showed that the FGP model considering three goals in comparison to the risk-free model would offer better results with nearer results to real conditions. Accordingly, this study suggested the concerned model to be used for each crop separately.
کلیدواژه‌ها [English]
Fuzzy Goal Programming (FGP) Model, Fertilizer Minimization, Pesticides Minimization, Conditional Value at Risk (CVaR), Mazandaran (Province)
مراجع
  • Afrakhteh, H., Hajipour, M., & Roumiani, A. (2015). Optimizing patterns for cultivating agricultural products toward sustainable development (case study: Sahlabad Plain). Journal of Research and Rural Planning, 1(9), 41-56. [In Persian]
  • Agh-Arkakoli, M., Joulayei, R., Keramatzadeh, A., & Shirani Bidabadi, F. (2015). Determining the cropping pattern with emphasis on reducing fertilizer and water consumption policies in Mazandaran province (case study: Behshahr County). Journal of Soil Management and Sustainable Production, 5(3), 247-259. [In Persian]
  • Aktar, M. W., Sengupta, D., & Chowdhury, A. (2009). Impact of pesticides use in agriculture: their benefits and hazards. Journal of Interdisciplinary Toxicology, 2(1), 1-12. DOI: 2478/v10102-009-0001-7.
  • Cyprian Eneh, O. (2011). Enhancing Africa's environmental management: integrated pest management for minimization of agricultural pesticides pollution. Research Journal of Environmental Sciences, 5(6), 521-529.
  • Emadzadeh, M., Zahedi Keyvan, M., & Aghaei, K. (2009). Determination of optimal cropping pattern of farm crops in risk and uncertainty conditions using a linear planning program. Journal of Agricultural Economics and Development, 17, 73-92. [In Persian]
  • Halkidis, I., & Papadimos, D. (2007). Technical report of life environment project: ecosystem based water resources management to minimize environmental impacts from agriculture using state of the art modeling tools in Strymonas basin. Greek Biotope/Wetland Centre (EKBY).
  • Hassan Shahi, M. (2007). Effect of risk on cropping pattern and farmer’s income (case study of agricultural part in Arsanjan). Journal of Research and Construction [Pajouhesh Va Sazandegi], 20(4), 2-9. [In Persian]
  • Hosseini Yekani, S. A., & Kashiri Kolaei, F. (2017). Investigating the effect of crop price fluctuations on the optimal cropping pattern in Sari. Journal of Agricultural Economics and Development, 11(2), 75-94. [In Persian]
  • Hosseinzad, J., Namvar, A., Hayati, B., & Pishbahar, S. (2014). Determination of crop pattern with emphasis on sustainable agriculture in the lands below the Alavian dam and its network. Journal of Agricultural Science and Sustainable Production, 2, 41-54. [In Persian]
  • Kahan, D. (2013). Managing risk in farming. Rome: Food and Agriculture Organization of the United Nations Organization (FAO).
  • Kaiser, H. M., & Messer, K. D. (2011). Mathematical programming for agricultural, environmental, and resource economics. New York: Wiley and Son.
  • Mahmoudi, N., & Sabouhi, M. (2007). effect of income risk on selection of optimal cropping pattern (case study: Jaban village of Damavand). Paper Presented at the Sixth Iranian Agricultural Economics Conference. [In Persian]
  • MAJ (2018). Fluctuations in rice yields. Ministry of Agriculture-Jahad (MAJ). Available at https://www.maj.ir. [In Persian]
  • Mirkarimi, S., Joolaie, R., Eshraghi, F., & Shirani Bidabadi, F. (2016). Cropping pattern management of crops with emphasis on environmental considerations (case study: Amol Tonship). Journal of Environmental Science and Technology, 3(18), 253- 263. [In Persian]
  • Mirzaei, K., & Ziaei, S. (2016). Determination of agro-economic program of cropping pattern for sustainability and preservation of the environment using a priority goal programming model (case study: Western Rudbar Alamut). Journal of Agricultural Economics Research, 8(29), 161-175. [In Persian]
  • Mohammadi, H., Bostani, F., & Kafilzadeh, F. (2012). Optimal cropping pattern using a multi-objectives fuzzy non-linear optimization algorithm: a case study. Journal of Water and Wastewater, 4, 43-55. [In Persian]
  • Mojtahedi, F. (2014). The cropping patterns determination to the minimum amount usage of chemical fertilizers and pesticides: (case study: Kerva, Qaemshahr County). Master Dissertation. Tarbiat Modares University, Iran. [In Persian]
  • Parhizkari, A., Mozafari, M. M., & Hosseini Khodadadi, M. (2015). Optimizing the cropping pattern for protection and sustainability of environment in Alamut western region (an approach of lexicographic goal programming). Journal of Natural Environment, 68(3), 373-385. [In Persian]
  • Rockafellar, R. T., & Uryasev, S. (2000). Optimization of Conditional Value-at-Risk. Journal of Risk, 2(3), 21-41.
  • Wan, N., Ji, X., Jiang, J., Qiao, H., & Huang, K. (2013). A methodological approach to assess the combined reduction of chemical pesticides and chemical fertilizers for low-carbon agriculture. Journal of Ecological Indicators, 24, 344-352.
  • World Bank (2005). Managing agricultural production risk, innovation in developing countries. Agriculture and Rural Development Department
آمار
تعداد مشاهده مقاله: 534
تعداد دریافت فایل اصل مقاله: 493


counter
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب