بررسی کارآیی انارکاران شهرستان خاش با استفاده از تحلیل پوششی داده‌ها و تحلیل فراکارآیی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیئت علمی دانشکدة اقتصاد، دانشگاه خوارزمی، تهران،

2 دانش‌آموختة کارشناسی ارشد مطالعات بین‌الملل و منطقه‌ای، دانشگاه تهران، ایران.

3 عضو هیئت علمی دانشکده اقتصاد، دانشگاه خوارزمی، تهران

چکیده

هدف تحقیق حاضر بررسی کارآیی انارکاران شهرستان خاش با استفاده از دو روش تحلیل پوششی داده­ ها و تحلیل فراکارآیی بود. اطلاعات مورد نیاز از طریق تکمیل پرسشنامه از انارکاران شهرستان خاش جمع‏ آوری شد. نتایج تحقیق نشان داد که میانگین سطح کارآیی فنی در شهرستان خاش در مدل با فرض بازده ثابت نسبت به مقیاس 46/0 و در مدل بازده متغیر نسبت به مقیاس 68/0 است و بین باغ‏های مورد بررسی، تفاوت آشکار در سطح کارآیی فنی وجود دارد، که مهم‌ترین علت آن ناکارآمدی در نحوه مدیریت استفاده از نهاده‌هاست. دامنه سطوح کارآیی در رهیافت فراکارآیی نیز بین 08/0 تا 86/6 درصد به‏دست آمد، که نشان‏دهندة تفاوت بسیار زیاد بین باغ‏ های انار در نمونه مورد بررسی به ‏لحاظ میزان مصرف نهاده‏ هاست. همچنین، نتایج رتبه‌بندی باغ‏ های انار با استفاده از رهیافت فراکارآیی با فرض نهاده‌گرا نشان داد که رتبه باغ‏های ناکارآ مشابه تحلیل پوششی داده­ هاست. از این ‏رو، توصیه می ­شود که با مدیریت صحیح و تخصیص بهینه نهاده‌های مورد استفاده در فرآیند تولید انار و حمایت ارگان ‏های مربوط، امکان افزایش و بهبودکارآیی تولیدکنندگان انار فراهم آید.

کلیدواژه‌ها

عنوان مقاله [English]

Investigating the Efficiency of Pomegranate Growers in Khash County of Iran Using Data Envelopment Analysis and Super-Efficiency Models

نویسندگان [English]

  • M. H. Karim 1
  • A. Karim 2
  • َH. Amiri 3
1 Faculty Member of Economics, Kharazmi University, Tehran, Iran
2 MA Graduate in International and Regional Studies, Tehran University, Tehran, Iran
3 Faculty Member of Economics, Kharazmi University, Tehran, Iran
چکیده [English]

This study aimed at investigating the efficiency of pomegranate growers in Khash County of Iran using two methods of data envelopment analysis (DEA) and super-efficiency analysis. The required information was collected by completing a questionnaire from pomegranate growers in the county. The study results showed that the average level of technical efficiency in the model assuming constant return to the scale (CRS) was 0.46 and in the model assuming variable return to the scale (VRS) was 0.68; and there was a clear difference in the level of technical efficiency between the studied gardens. The most important reason is the inefficiency in how to manage the use of inputs. The range of efficiency levels in the super-efficiency model was estimated 0.08 to 6.86 percent, indicating a great difference between pomegranate gardens in terms of input consumption. The results of ranking pomegranate gardens using the super-efficiency approach with input-oriented assumption showed that the ranking of inefficient gardens was similar to that of the data envelopment analysis. Therefore, proper management and optimal allocation of inputs used in the pomegranate production process as well as the support of relevant agencies are recommended to increase and improve the efficiency of pomegranate producers.

کلیدواژه‌ها [English]

  • Data Envelopment Analysis (DEA)
  • Super-Efficiency Model
  • Pomegranate Growers
  • Khash (County)

مراجع

  1. Adachi, K., Del Ninno, C. and Liu, D. (2010). Technical efficiency in Bangladesh rice production: are there threshold effects in farm size? Poster Prepared for Presentation at the Agricultural and Applied Economics Association 2010 AAEA, CAES, and WAEA Joint Annual Meeting, Denver, Colorado, July 25-27, 2010.
  2. Andersen, P. and Petersen, N.C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39: 1261-1264.
  3. Banker, R.D., Charnes, A. and Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9): 1078-1092.
  4. Bjurek, H.L., Hjalmarsson, L. and Forsund, F.R. (1990). Deterministic parametric and nonparametric estimation in service production. Journal of Econometrics, 46: 213-227.
  5. Charnes, A., Cooper, WW. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2: 429-444.
  6. Chen, Y. (2005). Measuring super-efficiency in DEA in the presence of infeasibility.  European Journal of Operational Research, 161(2): 545-551. DOI: 10.1016/j.ejor.2003.08.060
  7. Coelli, T., Rao, D.S.P. and Battese, G.E. (2002). An introduction to efficiency and productivity analysis. USA: Kluwer Academic Publishers.
  8. Cooper, W., Seiford, L.M. and Tone, K. (2000). Data envelopment analysis: a comprehensive text with models, applications, reference and DEA-Solver. New York, Boston: Kluwer Academic Publishers.
  9. Emami Meibodi, A. (2000). Principles of measuring efficiency and productivity (in theory and practice). Tehran: Publications of the Institute for Trade Studies and Research. (Persian)
  10. Farrel, M.J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120: 253-290.
  11. Ghoncheh-Beig, F., Omid, M., Ahmadi, H. and Delshad, M. (2010). Evaluation and improvement of optimal consumption of energy resources in cucumber production in Tehran greenhouses using data envelopment analysis. Proceedings of the Sixth National Congress of Agricultural Machinery Engineering and Mechanization, Tehran Campus of Agriculture and Natural Resources. (Persian)
  12. Hajiani, P., Khalilian, S., Abrishami, H. and Peykani, Gh. (2005). Investigation of technical efficiency of Persian Gulf shrimp fishing fleet: a case study of Bushehr province. Agricultural Economics and Development, 13(Special Issue): 201-225. (Persian)
  13. Hosseinzadeh, M., Dourandish, A. and Nikoukar, A. (2011). Analysis of the international pomegranate market structure and the challenges facing Iran's export development. National Pomegranate Conference. Availabale at https://profdoc.um.ac.ir/articles/a/1023694.pdf. (Persian)
  14. Khan, A., Azmal Huda, F. and Alam, A. (2010). Farm household technical efficiency: a study on rice producers in selected areas of Jamalpur District in Bangladesh. European Journal of Social Sciences, 14(2): 262-271.
  15. Kumbhakar, S., Ghosh, S. and McGuckin, J. (1991). A generalized production frontier approach for estimating determinants of inefficiency in United States dairy farms. Journal of Business Statistics, 9: 279-286.
  16. MAJ (2018). Agricultural Statistics, Vol. 3: horticultural products. Tehran: Ministry of Agriculture-Jahad (MAJ). Available at https://www.maj.ir/Dorsapax/userfiles/Sub65/Amarnamehj3-1397-site.pdf. (Persian)
  17. Moazeni, S.S. and Karbasi, A.R. (2008). Measuring different efficiencies with data envelopment analysis, case study: pistachio producers in Zarand. Agricultural Economics and Development, 16(61): 1-16. (Persian)
  18. Pate, N. and Tan-Cruz, A. (2007). Technical efficiency of the Philippines rice-producing regions: an econometric approach. 10th National Convention on Statistics (NCS) EDSA Shangri-La Hotel October, 2007.
  19. Qaisari, K., Mehrno, H. and Jafari, A. (2007). Overview of fuzzy data envelopment analysis. Qazvin: Scientific Publishing Center of Islamic Azad University, Qazvin Branch. (Persian)
  20. Rahman, S. and Anik, A.R. (2020). Productivity and efficiency impacts of climate change and agroecology on Bangladesh agriculture. Land Use Policy, 94. Available at https://doi.org/10.1016/j.landusepol.2020.104507.
  21. Saboohi Sabooni, M. and Mojarad, A. (2009). Evaluation of efficiency of cotton growers in Khorasan province using parametric approach. Iranian Journal of Agricultural Economics and Development Research, 40(2): 27-35. (Persian)
  22. Sardar Shahraki, A., Dahmardeh, N. and Karbasi, A.R. (2012). Calculation of efficiency and the returns to scale of grape growers in Sistan region with data envelopment analysis method. Journal of Operational Research and Its Applications (Journal of Applied Mathematics), 9(34): 77-90. (Persian)
  23. Tan, S., Heerinkb, N., Kuyvenhovenb, A. and Quc, F. (2010). Impact of land fragmentation on rice producers’ technical efficiency in south-east China. Wageningen Journal of Life Sciences, 57: 117-123.
  24. Villano, V. and Fleming, E. (2006). Technical inefficiency and production risk in rice farming: evidence from Central Luzon, the Philippines. Asian Economic Journal, 20(1): 29-46.

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