| تعداد نشریات | 284 |
| تعداد نشریات سازمان | 82 |
| تعداد شماره‌ها | 3,079 |
| تعداد مقالات | 34,325 |
| تعداد مشاهده مقاله | 47,472,224 |
| تعداد دریافت فایل اصل مقاله | 78,443,411 |
بررسی عوامل مؤثر بر کارایی انرژی چغندرکاران ایران | ||
| چغندرقند | ||
| مقاله 10، دوره 38، شماره 1، شهریور 1401، صفحه 123-136 اصل مقاله (1.14 M) | ||
| نوع مقاله: کامل علمی - پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/jsb.2023.355913.1287 | ||
| نویسندگان | ||
| یدالله بستان1؛ حمید امیرنژاد2؛ سمیه شیرزادی لسکوکلایه* 3 | ||
| 1دانشجوی دکترای گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، بابل، ایران. | ||
| 2استاد گروه اقتصاد کشاورزی، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران. | ||
| 3استادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، بابل، ایران. | ||
| چکیده | ||
| چغندرقند ازجمله محصولاتی است که انرژی مکانیکی زیادی صرف کاشت، داشت و برداشت آن می‌شود. از اینرو مطالعه حاضر، با هدف ارزیابی و مقایسه کارایی انرژی در مزارع چغندرقند 12 استان در دوره زمانی 1396-1386 انجام گردید. برای این منظور از هشت مدل مختلف کارایی، در قالب روش تابع تولید مرزی تصادفی (SFA) استفاده شد. آمار و اطلاعات لازم از وزارت جهادکشاورزی، ترازنامه‌های انرژی ایران و مطالعات کتابخانه‌ای جمعآوری شد. درنهایت با لحاظ متغیرهای مختلف ازجمله نیروی‌کار، ماشین‌آلات، سم و کودشیمیایی، آب، بذر، کودحیوانی و متغیرمجازی سال، تابع کاب-داگلاس به‌عنوان تابع تولید برتر انتخاب شد. نتایج حاصل از روش پانل تصادفی مرزی نشان داد که متغیرهای ماشین‌آلات و سموم شیمیایی بیشترین اثر مثبت و معنادار را نسبت به دیگر متغیرها بر افزایش کارایی انرژی چغندرقند در استانهای منتخب دارند. پس از تخمین تابع تولید، کارایی انرژی مزارع چغندرقند 12 استان منتخب براساس هشت مدل مختلف، با یکدیگر مقایسه شدند که استانهای آذربایجان‌غربی، سمنان و همدان دارای بیشترین کارایی (بالای 89 درصد) بودند. میانگین کل ناکارایی انرژی 11 ساله بالغ بر 20 درصد برآورد شد. درنتیجه با بهبود کارآیی انرژی تولیدکنندگان چغندرقند امکان افزایش تولید، کاهش هزینه‌ها و ارتقاء رقابت‌پذیری صنعت چغندرقند و فرآورده‌های آن در ایران وجود دارد. | ||
| کلیدواژه‌ها | ||
| پانل مرزی تصادفی؛ تابع تولید کاب‌داگلاس؛ کارایی ثابت و متغیر؛ مدیریت تولید؛ ناکارایی | ||
| عنوان مقاله [English] | ||
| Evaluation of the factors affecting the energy efficiency of sugar beet growers in Iran | ||
| نویسندگان [English] | ||
| Yadollah Bostan1؛ Hamid Amirnejad2؛ Somayeh Shirzadi Laskookalayeh3 | ||
| 1PhD student of Department of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Babol, Iran. | ||
| 2Professor of Department of Agricultural Economics, Faculty of Agricultural and Natural Resources, University of Tehran, Karaj, Iran. | ||
| 3Assistant Professor of Department of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Babol, Iran. | ||
| چکیده [English] | ||
| Sugar beet is one of the agricultural products that require a lot of mechanical energy for cultivation, agronomic practice, and harvest. Therefore, the present study was conducted with the aim of evaluation and comparison of energy efficiency in sugar beet fields in 12 provinces in the period of 2007-17. For this purpose, eight different efficiency models were used in the form of Stochastic Frontier Analysis (SFA) method. The necessary statistics and information were collected from the Ministry of Agriculture-Jahad, the energy balance sheets, and library studies. Finally, considering various variables such as labor force, machinery, pesticides and chemical fertilizers, water, seed, manure and virtual variable of year, the Cobb Douglas function was selected as the superior production function. Results of the border random panel method showed that the variables of machinery and chemical pesticides have the greatest positive and significant effect on increasing the energy efficiency of sugar beet in the selected provinces. After estimating the production function, the energy efficiency of the sugar beet fields in 12 selected provinces were compared together based on eight different models, which showed that the West Azerbaijan, Semnan, and Hamedan provinces had the highest energy efficiency (>89%). The average total energy inefficiency for 11 years was estimated to be more than 20%. As a result, by improving the energy efficiency of sugar beet producers, it is plausible to increase production and reduce costs, and also improve the competitiveness of the sugar beet industry and its products in Iran. | ||
| کلیدواژه‌ها [English] | ||
| Cobb-Douglas production function, Fixed and variable efficiency, Inefficiency, Production management, Stochastic frontier panel | ||
| مراجع | ||
|
Adom PK, Amakye K, Abrokwa KK, Quaidoo C. Estimate of transient and persistent energy efficiency in Africa: A stochastic frontier approach. Energy Conversion and Management. 2018; 166: 556-568. doi:10.1016/j.enconman.2018.04.038. Amini M, Fatahiardakani A, Bostan Y, Neshat A. The effect of guaranteed purchase policy of wheat crop on the economic value of groundwater resources (Case study: Malayer city). 8th National Conference on Water Resources Management of Iran, Ferdowsi University of Mashhad. 2021. [In Persian] Areal FJ, Pede VO. Modeling Spatial Interaction in Stochastic Frontier Analysis. Frontiers in Sustainable Food Systems. 2021. 5. doi:10.3389/fsufs.2021.673039. Arsalanbod M. Efficiency of sugar beet producers in West Azerbaijan province. Journal of Agriculture. 2005; 8(1): 13-20. [In Persian] Battese GE, Coelli TJ. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. Journal of productivity analysis. 1992; 3(1): 153-169. doi:10.1007/BF00158774. Demircan V, Ekinci K, Keener HM, Akbolat D, Ekinci C. Energy and economic analysis of sweet cherry production in Turkey: A case study from Isparta province. Energy Conversion and Management. 2006; 47(13-14): 1761-1769. doi:10.1016/j.enconman.2005.10.003. Ebrahimipak NA, Mostashari M. Evaluation of irrigation water management and boron fertilizer to increase water use efficiency of sugar beet. Water and Irrigation Management. 2012; 2(2): 53-67. doi:10.22059/jwim.2013.30340. [In Persian] Engler N, Krarti M. Review of energy efficiency in controlled environment agriculture. Renewable and Sustainable Energy Reviews. 2021; 141(1): 110786. doi:10.1016/j.rser.2021.110786. Erdal G, Esengün K, Erdal H, Gündüz O. Energy use and economical analysis of sugar beet production in Tokat province of Turkey. Energy. 2007; 32(1): 35-41. doi:10.1016/j.energy.2006.01.007. Farid M. Ghatreh Samani S, Rostami S. An assessment of energy consumption for sugar beet production systemin Iran: a case study in chaharmahal va bahktiyari province. Journal of Researches in Mechanics of Agricultural Machinery. 2013; 1(1): 20-35. [In Persian] Gholami ghajelou J, Ghanbarian D, Maleki A, Torki Harchegani M. Energy use efficiency and economic analysis of sugar beet fields in Miandoab city, West Azerbaijan province. Journal of Sugar Beet. 2015; 31(1): 122-109. doi:10.22092/JSB.2015.101955. [In Persian] Haciseferogullar H, Acaroglu M, Gezer I. Determination of the energy balance of the sugar beet plant. Energy Sources. 2003; 25(1): 15-22. doi:10.1080/00908310290142073. Jadidi MR, Sabouhi Sabouni M, Homayounifar M, Mohammadi A. Assessment of energy use pattern for tomato production in Iran: A case study from the Marand region. Research in Agricultural Engineering. 2012; 58(2): 50-56. doi:10.17221/32/2010-RAE. Kafaie M, khosravi A. Energy efficiency in Iran’s provincial with Stochastic frontier production function method. Quarterly Energy Economics Review. 2016; 12 (50): 101-128. [In Persian] Kavand H, Sargazi A. Determination of efficiency types of Borujerd sugar beet growers using data envelopment analysis (DEA). Journal of Sugar Beet. 2015; 31(2): 209-201. doi:10.22092/JSB.2016.102285. [In Persian] Khodaverdizadeh M, Mohammadi M, Miri D. Estimation of Technical Efficiency of Wheat Production with Emphasis on Sustainable Agriculture in Urmia County. Journal of Agricultural Science and Sustainable Production. 2019; 29(4): 233-245. [In Persian] Lin B, Houyin L. A stochastic frontier analysis of energy efficiency of China's chemical industry, Journal of Cleaner Production. 2015; 87: 235–244. doi:10.1016/j.jclepro.2014.08.104. Mehrara M, Abdi R. Evaluating the technical efficiency of the Iranian banking industry and determining the factors affecting it (Stocastic Frontier Analysis approach). Journal of Economic Sciences. 2013; 8(8): 83-105. doi:10.22084/aes.2018.14331.2510. [In Persian] Mohammadi H, mehry M. An Analysis of Improving Energy Use with Data Envelopment Analysis in Horticultural Products in Yazd Province: Case Study Pistahio. Quarterly Energy Economics Review. 2015; 11(46):113-134. [In Persian] Mohammadi Mazrah H, Nazazadeh S, Amir shaghayeghi F, Nikanfar R. Estimating the amount of energy required in different methods of tillage, planting and holding sugar beet. Research project of Agricultural Research, Education and Extension Organization (Design code: R-1058151). 2010. [In Persian] Mondani F, Riahinia S, Asgharipour MR. Assessment of energy flow in sugarbeet (beta vulgaris) and potato (solanum tubrosum) production systems in razavi Khorasan province. Journal of Agroecology. 2013; 3(1): 69-82. [In Persian] Najafi P, Fehresti Sani M, Bostan Y, Fatahi Ardakani A. Estimation of Iran’s sugar import demand function (ARDL approach). Journal of Sugar Beet. 2020a; 35(2): 207-216. doi:10.22092/JSB.2020.127496.1226. [In Persian] Najafi P, Fehresti-Sani M, Nazari M, Neshat A. Efficiency Estimation and Ranking of Iranian Sugar Beet Producers. Agricultural Economics and Development. 2020b; 28(3): 125-145. doi:10.30490/aead.2020.252671.0. [In Persian] Neamati A, Basati J, Zareii A, Rostampour A. Factors affecting technical efficiency the sugar beet producers in Kermanshah province. Journal of Sugar Beet. 2004. 19(2): 161-173. doi:10.22092/JSB.2004.8211. [In Persian] Octrina F, Mariam AGS. Islamic Bank Efficiency in Indonesia: Stochastic Frontier Analysis. The Journal of Asian Finance, Economics, and Business. 2021. 8(1): 751-758. Ozkan B, Akcaoz H, Karadeniz F. Energy requirement and economic analysis of citrus production in Turkey. Energy Conversion and Management. 2004; 45(11-12): 1821-1830. doi:10.1016/j.enconman.2003.10.002. Pishgar-Komleh SH, Ghahderijani M, Sefeedpari P. Energy consumption and CO2 emissions analysis of potato production based on different farm size levels in Iran. Journal of Cleaner production. 2012; 33: 183-191. doi:10.1016/j.jclepro.2012.04.008. Sari DW, Hidayat FN, Abdul I. Efficiency of Land Use in Smallholder Palm Oil Plantations in Indonesia: A Stochastic Frontier Approach. Forest and Society. 2021; 5(1):75-89. doi:10.24259/fs.v5i1.10912. Seyyedan S. Investigation of technical efficiency of sugar beet producers and factors affecting it's decrease ‘A case study in Hamedan province’. Journal of Sugar Beet. 2006; 21(2): 137-150. doi:10.22092/JSB.2006.8204. [In Persian] Shafie L, Javaheri M, Pourjopary Z. Investigation on technical, allocative and economic efficiency of sugar beet producers in Bardsir city. Journal of Sugar Beet. 2007; 22(2): 121-109. doi:10.22092/JSB.2007.1689. [In Persian] Shahraki J, sardar shahraki A. Determination of technical efficiency of sugar beet growers in Khorasan Razavi using data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Journal of Sugar Beet. 2015; 31(2): 224-211. doi:10.22092/JSB.2016.103658. [In Persian] Shakeri Bostan Abad R, Salimodlu E, Rafiee H. Determination of sugar beet production pattern provinces based on efficiency and productivity criteria. Journal of Sugar Beet. 2018; 34(1): 111-119. doi:10.22092/jsb.2018.109848.1151. [In Persian] Susaeta A, Alavalapati J. Forest Ownership, Management, and Water Production in Longleaf Pine Forests: A Stochastic Frontier Analysis. Forest Science. 2021; 67(2): 145-155. doi:10.1093/forsci/fxaa048. Titus MA, Vamosiu A, Buenaflor SH, Lukszo CM. Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis. Research in higher education. 2021; 62(8): 1168-1197. doi:10.1007/s11162-021-09634-y. Van Nguyen Q, Pascoe S, Coglan L, Nghiem S. The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation. Journal of Productivity Analysis. 2021; 55(1): 31-40. doi:10.1007/s11123-020-00592-8. Wai KZ, Hong S. Measuring the efficiency and determinants of rice production in Myanmar: a translog stochastic frontier approach. Korean Journal of Agricultural Science. 2021; 48(1): 59-71. doi:10.7744/kjoas.20200100. Zahedi M, Eshghizadeh HR, Mondani F. Energy Efficiency and Productivity in Potato and Sugar Beet Production Systems in Isfahan Province. Journal of Crop Production and Processing. 2015; 5(17): 181-191. doi:10.18869/acadpub.jcpp.5.17.181. [In Persian] Zewdie MC, Moretti M, Tenessa DB, Ayele ZA, Nyssen J, Tsegaye EA, Van Passel S. Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach. Land. 2021; 10(3):246. 1-17. doi:10.3390/land10030246. | ||
|
آمار تعداد مشاهده مقاله: 437 تعداد دریافت فایل اصل مقاله: 340 |
||