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بررسی کارایی تولید کلزا در ایران | ||
| پژوهش های کاربردی زراعی | ||
| دوره 34، شماره 2 - شماره پیاپی 131، شهریور 1400، صفحه 74-55 اصل مقاله (720.73 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/aj.2021.127366.1422 | ||
| نویسنده | ||
| علی شهنوازی* | ||
| بخش تحقیقات اقتصادی، اجتماعی و ترویج کشاورزی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان آذربایجان شرقی، سازمان تحقیقات، | ||
| چکیده | ||
| پژوهش پیش رو با هدف محاسبه شاخص‌های مختلف کارایی تولید کلزا از قبیل فنی، تخصیصی، هزینه‌ای، درآمدی و سود در 14 استان کشور انجام شده است. رهیافت اصلی مورد استفاده در برگیرنده چهار الگوی تحلیل پوششی داده‌ها با رویکرد نهاده گرا و بازده متغیر نسبت به مقیاس به همراه بهره‌گیری از نرخ بازده سرمایه‌گذاری و ضریب همبستگی پیرسون می‌باشد که با استفاده از داده‌های منتشر شده وزارت جهاد کشاورزی برای سال زراعی 94-1393 اجرا شده است. نرم‌افزارهای Win QSB، COMFR و SPSS در پژوهش استفاده شده‌اند. بر اساس نتایج میانگین کارایی‌های فنی، تخصیصی و هزینه‌ای برای شاخص عملکرد به ترتیب 90/0، 75/0 و 69/0 و برای شاخص درآمد، به ترتیب 91/0، 76/0 و 70/0 به دست آمد. برای بهبود کارایی هزینه‌ای چنانچه هدف عملکرد باشد، ضرورت دارد از هزینه تخصیص یافته به اجاره، آماده‌سازی، کاشت و داشت به ترتیب 10/51، 95/12، 09/41 و 61/34 درصد کاسته شده و هزینه برداشت به میزان 77/2 درصد اجازه افزایش داده شود. چنانچه کسب درآمد در اولویت زراعی می‌باشد در آن صورت به‌استثنای آماده‌سازی زمین، نیاز هست در راستای کاهش هزینه‌ها با اولویت اجاره (05/4 میلیون ریال) و کاشت (10/3 میلیون ریال) برنامه‌ریزی شود. بر اساس محاسبات انجام یافته امکان افزایش میانگین عملکرد از 1885 به 2574 کیلوگرم در هکتار و به میزان 689 کیلوگرم وجود دارد که معادل 37 درصد افزایش تولید می‌باشد. این بهبود به افزایش درآمد به میزان 13 میلیون ریال (32 درصد) در هر هکتار زراعت کلزا می‌تواند منجر گردد. | ||
| کلیدواژه‌ها | ||
| کارایی فنی؛ کارایی هزینه‌ای؛ کارایی درآمدی؛ کارایی سود؛ تخصیص بهینه؛ توسعه کشت | ||
| عنوان مقاله [English] | ||
| Evaluation of rapeseed production efficiency in Iran | ||
| نویسندگان [English] | ||
| Ali Shahnavazi | ||
| Economic, Social and Extension Research Department, East Azarbaijan Agricultural and Natural Recourses Research and Education Center, AREEO, Tabriz, Iran | ||
| چکیده [English] | ||
| Rapeseed is a product that has a significant role in ensuring food security in the country. Its share of total crop production was reported to be 0.49% in previous years (2006-2007) but now stands at 0.41%. According to the Sixth Five Year Plan of Economic, Social and Cultural Development of the Islamic Republic of Iran it is necessary to increase the production of rapeseed from 146 thousand tons in the crop year 2013-2014 to 934 thousand tons in the crop year 2020-2021. The production of this product during the first two years of the program (2017 and 2018, respectively) was 181.1 and 329.8 thousand tons, respectively, which were 46.9 and 41.2 thousand tons less than the stated targets, respectively. While quantifying the goals of development plans does not address the production priorities at the farm level, it is certainly possible to increase the likelihood and speed of achieving the goals at hand by establishing greater coordination between objectives at different levels of decision-making. Although policy priorities are always increasing the production but the farmer, besides the anticipated production considers the costs of production and profitability, too.Ghaderzadeh and Pirmohammadian (2019) investigated energy efficiency in potato fields of Hamadan province. Based on the findings, the mean technical, managerial and scale efficiencies were 74.8%, 94.1% and 90.4%, respectively, indicating that it was possible to improve energy efficiency by managing inputs usage, especially fertilizers and seeds. In the current study, the technical, allocative, cost, income, and profit efficiencies of rapeseed were analyzed using information from 14 province. In this research, the efficiency of rapeseed production in the major provinces of this crop has been investigated using data envelopment analysis approach from different aspects. For this purpose, first, the technical, allocative and cost efficiency of production was calculated by country provinces and then the optimal amount of input consumption in different stages of preparation, planting, Maintenance and harvesting was calculated and compared with current consumption values. Then, after determining income efficiency, profit efficiency and estimating the internal rate of return on investment in rapeseed production, it was investigated the relationship between the variables under study using correlation coefficient (Coelli et al., 2005). WinQSB, COMFAR and SPSS softwares were used in the study. Based on the results, the mean technical, allocative and cost efficiencies for the yield index were 0.90, 0.75, and 0.69, respectively, and for the income index, 0.91, 0.76, and 0.70, respectively. In order to improve the cost efficiency if the yield goal was to be achieved, the cost allocated to renting, preparing, planting and maintains should be reduced by 51.10%, 12.95%, 41.09% and 34.61% respectively, and the cost of harvesting could be increased by 2.77%. If income was the top priority, then, with the exception of land preparation, there was a need to plan for cost savings with priority for rent (4.05 million Rials) and planting (3.10 million Rials). According to the calculations, the average yield could be increased from 1885 to 2574 kg/ha, which was a 37% increase in production. This improvement could lead to an increase in revenue of 13 million Rials (32%) per hectare of rapeseed. The average earnings efficiency was calculated 0.81 units, indicating a 19% gap with the optimal rate. Currently, the average profitability of rapeseed farming is 15 million Rials per hectare, which can be increased by up to 71 Million Rials, which is equivalent to 386 percent improvement. The actual profit and profit efficiency were negative in Markazi, Hormozgan, Qazvin and North Khorasan provinces, but overall profit efficiency is 17% and was significantly different from optimal. Kerman, East Azerbaijan and Lorestan provinces had the highest profit efficiency in rapeseed farming with 80, 55 and 41 percent, respectively. The same was also reflected in the index of internal rate of return as the provinces with 888%, 325% and 278% were the most suitable areas for rapeseed agriculture development. The results of correlation coefficient showed that there was no significant relationship between technical efficiency and profitability. According to the results, the production structure in the provinces of Markazi, Hormozgan, Qazvin and North Khorasan needs to be revised and Kerman, East Azerbaijan and Lorestan provinces are introduced as central zones of rapeseed development in the country. | ||
| کلیدواژه‌ها [English] | ||
| Technical efficiency, Cost efficiency, Income efficiency, Profit efficiency, Optimal allocation, Crop development | ||
| مراجع | ||
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Abedi Parijani, A., Motamed, M. K., KavoosiKalashami, M., and ShabanaliFami, H. 2017. Investigation the technical, allocative and economic efficiency of Sericulturist in Mazandaran province. Agricultural Economics and Development, 25: 79-101. (In Persian with English Summary). Abedi, M., Mohammadi, H., and Ghafari, M. 2011. Studying efficiency and profitability of trout culture farms in Fars province. Agricultural Economics, 5: 93-123. (In Persian with English Abstract). Babaei, M., Rastegaripour, F., and SabouhiSabooni, M. 2012. A survey on the efficiency of greenhouse cucumber: using the approach of using interval data envelopment analysis. Agricultural Economics and Development, 26: 117-125. (In Persian with English Abstract). Behrouz, A., and EmamiMeyboudi, A. 2014. Measuring technical, allocative and economic efficiency and productivity of farming sub-sector of Iran with emphasis on irrigated watermelon. Journal of agricultural Economics Research, 23: 43-66 (In Persian with English Abstract). Chepng’etich, E., Bett, E. K., Nyamwaro, S. O., and Kizito, K. 2014. Analysis of technical efficiency of Sorghum production in Lower Eastern Kenya: a data envelopment analysis (DEA) approach.Journal of Economics and Sustainable Development, 5: 58-65. Coelli, T. J. 1996. A guide to DEAP version 2.1: a data envelopment analysis (computer) program. Center for Efficiency and Productivity Analysis, Department of Econometrics, University of New England, Australia. Coelli, T. J., Prasada Rao, D. S., O`Donnell, C. J., and Battese, G. E. 2005. An introduction to efficiency and productivity analysis. Second Edition, Springer. Esfandiari, M., Yaghubi, M., ShahabiNejad, V., and Karbasi, A. R. 2012. Efficiency evaluation of rice farmers at South Kamfirouz region of Marvdasht county: application of data envelopment analysis model. Village and Development, 15: 65-84(In Persian with English Summary). Ganji, N., Yazdani, S., and Saleh, I. 2018. Identifying factor affecting efficiency of water use in wheat production, Alborz province (data envelopment analysis approach). Iranian Journal of Agricultural Economics and Development Research, 49: 13-22 (In Persian with English Summary). Ghaderzadeh, H., and Pirmohamadyani, Z. 2019. Evaluation Efficiencies of Energy for Potato Production in Hamedan Province of Iran. Journal of agricultural Economics Research, 11: 167-202. (In Persian with English Summary). Haghighat Nezhad, M.R., Yazdani, A.R., and Rafiee, H. 2014. Comparison of the efficiency and productivity index of dairy farms; case study, Isfahan region. Journal of Ruminant Research, 1: 177-194 (In Persian with English Summary). Hassan, Y. Mahir bin Abdullah, A., Mansor Ismail, M., and Mohamed, Z. 2014. Technical efficiency of maize production in Nigeria: parametric and non-Parametric approach. Asian Journal of Agriculture and Rural Development, 4: 281-291. Kazemi, M., and Nikkhah Farahani, Z. 2010. Application of data envelopment analysis in measuring analyzing relative efficiency of wheat cultivation: case of Khorasan Razavi. Agricultural Economics and Development, 23: 87-94. (In Persian with English Summary). Kočišová, K. 2015. Application of the DEA on the measurement of efficiency in the EU countries. Agricultural Economics, 61: 51–62 Pradhan, K. A. 2018. Measuring technical efficiency in rice productivity using data envelopment analysis: a study of Odisha. International Journal of Rural Management, 14: 1–21 Li, L., Jiang, Y., Mu, H., and Yu, Z. 2018. Efficiency evaluation and improvement potential for the Chineseagricultural sector at the provincial level based on data envelopment analysis (DEA). Energy, 164: 1145-1160. Ministry of Agriculture Jihad. 2009. Agricultural Statistics of 2006-2007. Volume One: Crops. Deputy of Planning and Economic Affairs, Information and Communication Technology Center (In Persian). Ministry of Agriculture Jihad. 2017. Crop production costs for agricultural year 2014-2015 (countrywide results). Deputy of Planning and Economic Affairs, Information and Communication Technology Center (In Persian). Ministry of Agriculture Jihad. 2018. Agricultural Statistics of 2016-2017. Volume One: Crops. Deputy of Planning and Economic Affairs, Information and Communication Technology Center (In Persian). Ministry of Agriculture Jihad. 2019. The level of harvest and the amount of crop production in the country during the years 2017-2018. Deputy of Planning and Economic Affairs, Information and Communication Technology Center (In Persian). Mohammadi, H. 2012. Application of the data envelopment analysis approach to production efficiency in greenhouse product in Fars province. Agricultural Economics, 6: 205-226 (In Persian with English Summary). Official Newspaper. 2017. The Law of the Sixth Five Year Economic, Social and Cultural Development Plan of the Islamic Republic of Iran (2017-2021). No. 20995 (In Persian). Shaban, M., Mahmoodi, A., and ShawkatFadai, M. 2014. A survey on technical efficiency, marketing and market structure of saffron crop, Iran. Journal of saffron agronomy and Technology, 1: 85-101 (In Persian with English Summary). Shahnavazi, A. 2018. Determining the optimal combination of inputs in onion production in East Azerbaijan province using DEA approach. Agricultural Economics and Development, 26: 53-78 (In Persian with English Summary). Yu, L., Yan-Min, R., Yu-Chun, P., and Chao, S. 2015. Evaluation of production efficiency of the county-level crop farming in He'nan based on GIS and DEA. Advance Journal of Food Science and Technology, 7: 154-158. | ||
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