Journals / Mediterranean Agricultural Sciences / 2014 / Cilt: 27 - Sayı: 1

Measurement of definable policy effects and competitiveness for orange production in Çukurova Region

Pages
0–0
Publication Date
2016-03-03
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

In addition, according to the efficiency coefficients, the system was introduced as competitive.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Öz This study aims to measure and identify the definable effects of agricultural policies and competitiveness of Turkish orange production system.
📊
Key Findings & Data:In this context, orange production in Çukurova Region which has the capability of representing whole Turkey was examined.
💡
Conclusion & Impact:In addition, according to the efficiency coefficients, the system was introduced as competitive.
🔬Design:Survey & Empirical Study
📍Scope:2009-2010 Verileri
⚙️Variables:Domain Parameters

Özet

Öz This study aims to measure and identify the definable effects of agricultural policies and competitiveness of Turkish orange production system. In this context, orange production in Çukurova Region which has the capability of representing whole Turkey was examined. To demonstrate the net policy effects and competitiveness of the system, Policy Analysis Matrix was applied on orange production in Çukurova Region with the survey data based on 2009-2010 marketing period. To construct Policy Analysis Matrix, primarily the value of income, tradable inputs and domestic resources was identified in terms of social and private prices. Than to show the net effects of the policy decisions on orange production, efficiency coefficients such as domestic resource coefficient, nominal protection coefficient, effective protection coefficient and private cost coefficient were calculated. By the help of these ratios, information about market distortions, income transfers, comparative advantages and sector sensitivities were obtained via these ratios. From the results of the calculations, it was introduced that, private prices for orange production is negative and orange production is sustainable in terms of social profitability. In addition, according to the efficiency coefficients, the system was introduced as competitive.

🔖

Cite This Article

GÜNEY, O. İ. (2016). Measurement of definable policy effects and competitiveness for orange production in Çukurova Region. Mediterranean Agricultural Sciences, Cilt: 27 - Sayı: 1, 0–0. https://ajindex.com/articles/123579

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Ahmad S, Martini P. R., (2000) Agricultural Policy Analysis in Pakistan: Illustration in the Use of Policy Analysis Matrix. CMER working papers series. No. 00-27.
  2. Pakistan. Çukurova Kalkınma Ajansı (2012) Çukurova Bölge Planı-Mevcut Durum Analizi 2010. http://www.cka.org.tr/main.aspx?id=267. 2012.05.015 Esmaeili A (2008) Measuring Competitiveness of Shrimp Farming in Southern Iran: Using Pam Approach. World Applied Sciences Journal 4(5):724-729.
  3. Guba W (2000) Competitiveness of polish milk processing industry during the integration to the European Union. Analysis of dynamic comparative advantages. PhD Thesis, Georg-August University, Göttingen. Joubert C, Scalkwyk HD. (2000) The Effect of Policy on the South African Valencia Industry. Agrekon Journal. Vol.39, No.1. Kapaj A, Kapaj J, Halbrendt C, Totojani O (2010) Assessing the Comparative Advantage of Olive Oil Production in Albania. International Food and Agribusiness Management Review. 113(1):15-26
  4. Koç AA, Işık S, Erdem Ş (2008) Türkiye’nin AB Üyeliğinin Tarım Sektöründe Ürün Bazında Etkilerinin Belirlenmesi (Turunçgil Raporu). TÜBİTAK, Ankara.
  5. Pearson S, Gotsch C, Bahri S (2003) Application of Policy Analyses Matrix in Indonesian Agriculture. Indonesia. 17-22, 111p Stoforos C, Kavcıc S, Erjavej E, Mergos G (1996) Agricultural Policy Analysis Model for Slovenian Agriculture. Phare Ace Project P-96-6107-R, 90-102
  6. Ciheam, Slovenia. TEAE, (2001) Türkiye’de Bazı Bölgeler İçin Önemli Ürünlerde Girdi Kullanımı ve Üretim Maliyetleri. No 64, Ankara.
  7. TÜİK (2010) Bitkisel Üretim İstatistikleri. http://www.tuik.gov.tr/PreTablo.do?tb_id=45&ust_id=13. 2012.05.09 UNCTAD, “Market Information in the Commodities Area, Agricultural Products-Citrus Fruit”, http://www.unctad.org/infocomm/anglais/orange/characteristics.htm. 2012.05.15