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Journals / Ege Üniversitesi Ziraat Fakültesi Dergisi / 2016 / Cilt: 53 - Sayı: 2

Efficiency Analysis in Cherry Production: The Case of Lapseki District of Çanakkale Province

Kiraz Üretim İşletmelerinde Etkinlik Analizleri: Çanakkale İli Lapseki İlçesi Örneği

Altuğ ÖZDEN
Eda ÖNCÜ
Pages
213–221
Publication Date
2016-06-22
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, it is also determined, cherry production experience, cherry land, age, application of nitrogenous fertilizer, application of the active ingredient Thiram and spirodiclofen have positive effects on the efficiency scores.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Turkey meets approximately 20% of the world total cherry production.
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Key Findings & Data:The 70% of the production of Çanakkale, with a significant share in Turkey's cherry production, is produced in Lapseki district.
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Conclusion & Impact:Besides, it is also determined, cherry production experience, cherry land, age, application of nitrogenous fertilizer, application of the active ingredient Thiram and spirodiclofen have positive effects on the efficiency scores.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Etkinlik analizi · veri zarflama analizi · truncated regresyon

Abstract

Turkey meets approximately 20% of the world total cherry production. The 70% of the production of Çanakkale, with a significant share in Turkey's cherry production, is produced in Lapseki district. In this study, we tried to determine the technical efficiency scores and the factors that effects these scores of cherry production in Lapseki. Data envelopment analysis and truncated regression model with bootstrapping (1000 replications) was performed to determine the efficiency scores and the efficiency factors. The means of efficiency scores for the assumption of constant returns to scale and variable returns to scale were determined as 83% and 85%, respectively. Also the mean of scale efficiency scores was determined as 96%. Besides, it is also determined, cherry production experience, cherry land, age, application of nitrogenous fertilizer, application of the active ingredient Thiram and spirodiclofen have positive effects on the efficiency scores.

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Cite This Article

ÖZDEN, A., ÖNCÜ, E. (2016). Efficiency Analysis in Cherry Production: The Case of Lapseki District of Çanakkale Province. Ege Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 53 - Sayı: 2, 213–221. https://ajindex.com/articles/50400

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References (12)

  1. Açıl, A.F. ve R. Demirci. 1984. Tarım Ekonomisi Dersleri. A.Ü.Z.F. Yayın No:880. Ankara.
  2. Adanacıoğlu, H. and F.A. Olgun. 2012. Evaluation of the Efficiency of Organic Cotton Farmers: A Case Study From Turkey. Bulgarian Journal of Agricultural Science, 18(3):418-428.
  3. Armagan, G., A. Ozden and S. Bekcioglu. 2010. Efficiency and Total Factor Productivity of Crop Production at Nuts1 Level in Turkey: Malmquist İndex Approach. Quality and Quantity, 44:573-581.
  4. Ali, S. and M. Khan. 2014. Technical Efficiency of Wheat Production in District Peshawar, Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture, 30(4): 433-441.
  5. Artukoglu, M. M., A. Olgun and H. Adanacioglu. 2010. The Efficiency Analysis of Organic and Conventional Olive Farms: Case of Turkey. Agric. Econ.-Czech, 56(2):89-96.
  6. Banker, R.D., A. Charnes and W. W. Cooper. 1984. Some Models for the Estimation of Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30:1078–1092.
  7. Başaran, C. ve S. Engindeniz. 2015. Sivri Biber Üretiminde Girdi Kullanım Etkinliğinin Analizi: İzmir Örneği, Tarım Ekonomisi Dergisi, 21(2):77-84.
  8. Biam, C.K., A. Okorie and S.U. Nwibo. 2016. Economic Efficiency of Small Scale Soyabean Farmers in Central Agricultural Zone, Nigeria: A Cobb-Douglas Stochastic Frontier Cost Function Approach. Journal of Development and Agricultural Economics, 8(3):52-58.
  9. Charnes, A.,W.W. Cooper and E. Rhodes. 1978. Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2:429-444.
  10. Cooper, W., L. Seiford and T. Kaoru. 2006. Data Envelopment Analysis: A Comprehensive Text With Models, Applications, References and DEA-Solver Software. Springer, New York, NY, p. 492. Engindeniz, S. ve G. Öztürk Coşar. 2013. İzmir’de Domates Üretiminin Ekonomik ve Teknik Etkinlik Analizi. E.Ü. Ziraat Fakültesi Dergisi, 50(1):367-375. FAO. 2014.
  11. Birleşmiş Milletler Tarım Örgütü, Tarımsal üretim ve Tarım Ticareti İstatistikleri, http://faostat.fao.org. Erişim: Aralık, 2014. Färe, R., S. Grosskopf and C. Lovell. 1994. Production Frontiers. Cambridge University Press, London, p. 316. Gündüz, O., V. Ceyhan, K. Esengün ve M. Dağdeviren. 2010. Kayısı Yetiştiriciliği Yapan İşletmelerde Ekonomik Etkinlik: Darende İlçesi Örneği. Türkiye IX Tarım Ekonomisi Kongresi (22-24 Eylül 2010, Şanlıurfa) Bildirileri, 1: 135-142.
  12. Gunduz, O, V. Ceyhan and K. Esengun. 2011. Measuring the Technical and Economic Efficiencies of the Dry Apricot Farms in Turkey. Journal of Food Agri