اقتصاد کشاورزی و توسعه

اقتصاد کشاورزی و توسعه

تدوین الگوی کشت در شرایط کم‌آبی با توجه به ترجیحات مخاطرة کشاورزان: مطالعة موردی محصولات عمدة زراعی شهرستان نظرآباد

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانش‌‏آموختة کارشناسی ارشد اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران.
2 استادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ایران.
3 دانشیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ایران.
چکیده
بخش کشاورزی بزرگ‏ترین مصرف‌­کننده آب به­‌شمار می­‌رود که با توجه به کم‌­آبی‌­های سال‌­های اخیر، برنامه­‌ریزی برای کشت محصولات سازگار با این شرایط، ضروری به ‏نظر می­رسد. اما علاوه بر محدودیت استفاده از نهاده‌­هایی همچون آب، یکی از عوامل اثرگذار بر تصمیمات کشاورزان در انتخاب الگوی کشت ترجیحات مخاطره (ریسکی) آنهاست. از این‏‌رو، در پژوهش حاضر، با استفاده از مدل برنامه‌‏ریزی مخاطرة درجه دوم (QRP)، الگوی کشت مناسب در شرایط کم­آبی و ترجیحات مخاطره کشاورزان در شهرستان نظرآباد بررسی و ارائه شد. اطلاعات مورد نیاز مربوط به سال زراعی 1401-1400 بود که از طریق مراجعه به مرکز جهاد کشاورزی منطقه مورد مطالعه و تارنمای وزارت جهاد کشاورزی گردآوری شد. نتایج پژوهش حاکی از آن بود که در شرایط کاهش پنج، ده و پانزده درصدی موجودی آب، با اعمال سناریوهای مخاطره‌‏گریزی (ریسک‏‌گریزی) پایین، متوسط و بالا، الگوی کشت، میزان مصرف آب و مخاطره نسبت به الگوی فعلی تغییر کرده، به‏‌گونه‌ای که با کاهش پانزده درصدی موجودی آب در سناریوی مخاطره­‌گریزی بالا، به‏‌منظور کاهش مخاطره، بهتر است سطح کشت محصول خیار، گندم و جو نسبت به الگوی فعلی، به‌ترتیب، حدود هشتاد، 28 و پنج درصد کاهش یابد و در مقابل، محصولی مانند کلزا حدود هشتاد درصد و سیب‏‌زمینی ده برابر افزایش یابد. بر مبنای نتایج تحقیق، در سناریوی مخاطره­‌گریزی بالا، با کاهش پانزده درصدی موجودی آب، میزان صرفه‌­جویی آب حدود هجده درصد محاسبه شده و میزان مخاطره حدود 33 درصد کاهش یافته و در مقابل، میزان سود هم حدود 25 درصد کاهش یافته است. از این‏‌رو، برای جبران این کاهش سود و به‌‏منظور مساعدت در صرفه­‌جویی در مصرف آب، پیشنهاد می‌­شود که در راستای جبران بخشی از سود ازدست‌‏رفته کشاورزان، راهکارهایی همچون فراهم‏‌سازی بازار مناسب برای فروش محصولات، خرید با قیمت تضمینی و ارائه تسهیلات به کشاورزان مد نظر قرار گیرد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Formulating a Cropping Pattern under Water Scarcity Conditions Considering Farmers’ Risk Preferences: A Case Study of Major Crops in Nazarabad County of Iran

نویسندگان English

Fatemeh Mirmohammadi 1
فاطمه Kashiri Kolaei 2
Somayeh Shirzadi Laskookalayeh 3
1 MSc. Graduate in Agricultural Economics, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran.
2 Assistant Professor, Department of Agricultural Economic, Sari University of Agricultural Science and Natural Resources, Sari. Iran.
3 Associate Professor, Department of Agricultural Economics, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran.
چکیده English

Introduction: Activity in the agricultural sector is accompanied by risk and uncertainty due to natural hazards, price fluctuations in the market, and the behavior of farmers themselves, which causes farmers to face risks and uncertainty about future income in the decision-making process for input consumption and production. This shows the importance of paying attention to risk in agricultural planning. On the other hand, in many countries, including Iran, water shortage is one of the main challenges for the government. Especially, since in Iran, about 90 percent of water resources are consumed in the agricultural sector, water shortages and droughts have caused the country suffering from water shortages to face problems and crises. The importance of this issue has led researchers to pay great attention to this issue. The adaptation strategies that farmers use when dealing with drought are defined in two parts: risk and crisis management. To deal with this phenomenon and reduce damage, farmers are required to adopt appropriate strategies. Today, changing farmers’ cultivation patterns and using water resources and plant diversity at different levels in pastures are among the basic strategies that most experts emphasize to deal with the drought. Given that the selected cultivation pattern of farmers is affected by their degree of risk aversion; therefore, when faced with conditions such as the water shortage, in order to use water optimally, a cultivation pattern appropriate to their risk aversion should be propose to facilitate its adoption. Therefore, in this study, using a Quadratic Risk Programming (QRP) model, optimal cultivation patterns based on the degree of risk aversion of farmers were determined for agricultural lands in Nazarabad County of Iran under water access restrictions in water shortage conditions.
Materials and Method: There are various methods for decision-making and development of cropping patterns under risk conditions, one of which is QRP model. This model deals with maximizing expected returns and minimizing risk. In the present study, the objective function of the used model was minimizing the risk of profit. The constraints of the model included achieving the expected profit and constraints on water, land, and capital inputs. It should be noted that to calculate the expected profit, a model was first solved with the aim of maximizing profit with respect to input constraints, and the maximum profit obtained from it was multiplied by a factor of 0.95, 0.9, and 0.85. This means that farmers were considered who were willing to give up 5, 10 and 15 percent of the maximum achievable profit, respectively, but followed a low-risk cropping pattern. The farmer who gives up 15 percent of his gross profit to reduce risk is more risk-averse than the other two groups of farmers. The studied products included major cultivated irrigated crops such as wheat, barley, rapeseed, cucumber, tomato, potato, and onion. The required data included the amount of water consumption per hectare, the capital required per hectare, the current cultivation levels, the price of the products, and the yield of the products which were collected by referring to the Agriculture-Jahad Center of the studied region and also the website of the Ministry of Agriculture-Jahad (MAJ) for the 2021-2022 cropping year. Finally, the results were estimated using GAMS software.
Results and Discussion: Based on the results, with a 5 percent reduction in water availability and the presence of farmers with low risk aversion, it was suggested that barley cultivation would be reduced by 42 percent compared to the current cropping pattern; but in contrast, the cultivation of wheat, cucumber, potato, and rapeseed should be increased; for example, the area of ​​potato cultivation should be changed from 5 hectares to 50 hectares and the area of ​​cucumber cultivation should be changed from 8 hectares to 111 hectares. In the proposed cultivation pattern, the share of rapeseed and wheat cultivations also increased by about 1 and 21 percent, respectively. Also, under conditions of a 10 percent reduction in water availability, increased risk aversion led to a decrease in the share of wheat cultivation and an increase in the area of ​​barley and rapeseed cultivations. On the other hand, under higher risk aversion, a greater decrease in water availability led to a decrease in the share of cucumber and wheat cultivations, and in contrast, the share of barley cultivation increased. The study results showed that the reduction in water availability, along with the level of risk aversion of farmers, had an effect on the total land used, so that with a 5 percent reduction in water availability, in conditions of low risk aversion, the total amount of land used decreased by about 8 percent compared to the current cultivation pattern, while in higher risk aversions, the total cultivation area faced little change. In other words, cropping pattern management for farmers with a high degree of risk aversion caused the total amount of cultivated land to not change much even in conditions of further reduction in water availability. Along with the change in cropping pattern, the amount of profit and risk of the cropping pattern also changed. However, in the scenarios studied, the percentage of risk reduction was always greater than the percentage of profit reduction.
Conclusion and Suggestions: Based on the results in different risk aversion scenarios, the proposed cropping pattern changed compared to the current cropping pattern in such a way that with increasing drought and consequently, decreasing water availability, in order to reduce risk, it is necessary for farmer with higher risk aversion to reduce the level of cucumber cultivation, and conversely, the level of cultivation of crops such as rapeseed should be increased. Also, based on the study results, although reducing water availability saves water consumption, it also reduces farmers’ profits. Therefore, in order to encourage farmers to implement the proposed cultivation patterns and compensate for the reduction in their profits, it is suggested that solutions such as providing a suitable market for selling products, purchasing at a guaranteed price, and providing facilities to farmers be considered.

کلیدواژه‌ها English

Cropping Pattern
Drought
Quadratic Risk Programming (QRP) Model
Risk Aversion.
1.       Akbari, M., Najafi Alamdarloo, H., & Moosavi, S. H. (2019). Impacts of climate change and drought on income risk and crop pattern in Qazvin Plain Irrigation Network. Journal of Water Research in Agriculture, 33(2), 265-282. DOI: 10.22092/jwra.2019.119742. [In Persian]
2.       Anderson, J. R., Dillon, J. L., & Hardaker, J. B. (1977). Agricultural decision analysis. American Journal of Agricultural Economics, 60(1), 1-127. DOI: 10.2307/1240175.
3.       Chen, Y., Zhou, Y., Fang, S., Li, M., Wang, Y., & Cao, K. (2022). Crop pattern optimization for the coordination between economy and environment considering hydrological uncertainty. Science of the Total Environment, 809, 151152. DOI: 10.1016/j.scitotenv.2021.151152.
4.       Ehsan, A. Tehrani, R., & Eslami Bidgoli, G. (2008). Investigating the risk aversion coefficient and production variance in risk management: a case study of Dezful tomato farmers. Journal of Agricultural Economics and Development, 16(1), 17-35. DOI: 10.30490/aead.2008.126885. [In Persian]
5.       Fakouri, S., & Bijankhan, M. (2022). Feasibility study on identifying wells with high sand production potential using the land subsidence maps (case study: Alborz province). Iranian Journal of Soil and Water Research, 53(10), 2413-2427. DOI: 10.22059/ijswr.2022.348859.669365. [In Persian]
6.       Fouladi, H., Amirnejad, H., & Shirzadi Laskookalayeh, S. (2024). Providing a roadmap for the adaption of agricultural sector to water scarcity conditions (case study: selected crops of Tajan basin, Iran). Journal of Agricultural Economics and Development, 38(3), 335-350. DOI: 10.22067/jead.2024.89018.1279. [In Persian]
7.       Freund, R. J. (1956). The introduction of risk into a programming model. Econometria, 24, 253-263.
8.       Ghaffari Moghadam, Z., Moradi, E., Hashemi Tabar, M., & Sardar Shahraki, A. (2022). Optimal allocation of water resources in the agricultural sector by using the Stackelberg-Nash-Cournot model and emphasis on water market (case Study: Sistan Plain pipe water transfer project). Journal of Ecohydrology, 9(1), 273-289. DOI: 10.22059/ije.2022.333388.1575. [In Persian]
9.       Kaiser, H. M., & Messer, K. D. (2011). Mathematical programming for agricultural, invironment and resource economics. John wiley and sons, Canada.
10.   Kashiri Kolaei, F., Hosseini-Yekani, S. A., & Karakbodi, F. (2017). Effect of agricultural crop insurance on the optimal cropping pattern in Mazandaran province (application of conditional value at risk model). Agricultural Economics, 11(1), 111-132. DOI: 10.22034/iaes.2017.23126. [In Persian]
11.   Khodagholi, M., Kavoosi, M., Arvin, A., & Sabohi, R. (2013). Study of SOI and NAO remote drought signals in Zayandeh-Roud watershed. Iranian Journal of Watershed Science and Engineering, (7)21, 41-52. [In Persian]
12.   Khorramian, M., & Varjavand, P. (2024). Investigating the water withdrawal from surface resources and the beneficial water consumption in the agricultural sector of Khuzestan province. Journal of Water and Sustainable Development, 10(4), 41-48. DOI: 10.22067/jwsd.v10i4.2306-1253. [In Persian]
13.   Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. DOI: 10.2307/2975974.
14.   Mirzaei, A., Soltani, A., Abbasi, F., Zeinali, A., & Mirkarimi, Sh. (2025). Optimization of the irrigated cropping pattern in Fars province to adapt to water scarcity. Journal of Water and Soil Sciences, 29(1), 131-152. DOI: 10.47176/jwss.29.1.65821. [In Persian]
15.   Molavi, H., Liaghat, A., &  Nazari, B. (2017). Assessment of policies of changes in cropping pattern and deficit irrigation management using system dynamics modeling (case study: Aras basin). Journal of Water and Irrigation Management, 6(2), 217-236. DOI: 10.22059/JWIM.2017.63781. [In Persian]
16.   Poortaheri, M., Eftekhari, A., & Kazemi, N., (2013). The role of drought risk management approach in reducing social-economic vulnerability of farmers and rural regions: a case study of Sulduz rural district, West Azarbaijan. Rural Research, 4(1), 1-22. DOI: 10.22059/jrur.2013.31969. [In Persian]
17.   Pourgholam-Amiji, M., Khoshravesh, M., Divband Hafshejani, L., & Ghadami Firouzabadi, A. (2022). The effect of irrigation with treated magnetic effluent on water productivity of maize. Iranian Journal of Irrigation & Drainage, 16(1), 243-253. DOR: 20.1001.1.20087942.1401.16.1.19.6 . [In Persian]
18.   Qaderzadeh, H., & Karimi, M. (2018). Impacts of agricultural water quota policy in groundwater resources management in Qorveh-Dehgolan Plain. Journal of Agricultural Economics, 12(4), 73-98. DOI: 10.22034/iaes.2019.88072.1598. [In Persian]
19.   Quezada, L., Holzapfel, E. Kuschel-Otárola, M., Lillo-Saavedra, M., Rivera, D., Souto, C., Octavio Lagos, O., & Diego Palma, D. (2024). Optimization of water and land allocation in fruit orchards over a 20-year period. Journal of Water, 17(1), 1-8. DOI: 10.3390/w17010008.
20.   Sani, F., Dashti, G., Majnooni Heris, A., & Hosseinzad, J. (2022). Investigating the price and non-price scenarios impacts of irrigation water for adaptation of climate change: using hydro-economic model (case study: Sarab County). Iranian Journal of Irrigation and Water Engineering, 13(2), 370-390. DOI: 10.22125/iwe.2022.162675. [In Persian]
21.   Shekari, H., Najarchi, M., Jafarinia, R., Mokhtari, S., & Alizadeh, H. (2019). Optimization of cropping pattern and water resources at different levels of irrigation for hot and dry areas (case study: Dehloran plains, Ilam province). Iranian Journal of Soil and Water Research, 50(6), 1351-1361. DOI: 10.22059/ijswr.2019.267849.668036. [In Persian]
22.   Valle-García, A., Gutiérrez-Martín, C., & Montilla-López, N. M. (2024). Water pricing and quotas: a quantitative analysis from a private and social perspective. Water Resources Management, 38, 4287-4306. DOI: 10.1007/s11269-024-03865-1.
23.   Wondimagen, M. (2014). Crop mix and resource use pattern under risk: the case of smallholder farmers in eastern highlands of Ethiopia. International Journal of Agriculture and Crop Sciences, 7(5), 251-261.
24.   Zhang, W. J., Tan, Q., & Zhang, T. Y. (2021). A risk-averse stochastic quadratic model with recourse for supporting irrigation water management in uncertain and nonlinear environments. Agricultural Water Management, 244, 1-15. DOI: 10.1016/j.agwat.2020.106431.