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Manisa Gördes’de 2008-2014 Yılları Arasında Tarımsal Üretim-Fiyat İlişkisi(Crop Yield-Price Relation Between The Years 2008-2014 in Gordes, Manisa)
Author(s) -
Uğur BİLGEN,
Coşkun Çılbant
Publication year - 2015
Publication title -
yönetim ve ekonomi dergisi
Language(s) - English
Resource type - Journals
eISSN - 2458-8253
pISSN - 1302-0064
DOI - 10.18657/yecbu.06527
Subject(s) - yield (engineering) , mathematics , agricultural science , materials science , composite material , environmental science
Insanlik tarihi incelendiginde uc onemli devrim karsimiza cikmaktadir. Bunlardan birincisi yerlesik hayata gecilmesiyle baslayan tarim devrimi, ikincisi buhar gucunun makinelerde kullanilmasiyla baslayan sanayi devrimi ve sonuncusu da bilgi toplumuna gecis devrimidir. Bu devrimlerin guclendirdigi tarim ve sanayi sektorleri arasindaki karsilikli bagimlilik gun gectikce daha da artmaktadir. Teknolojinin gelismesi tarim sektorunu, sanayi ve hizmetler sektoru ile birlikte milli gelir icerisinde onemli bir konuma getirmistir. Calismada Manisa ilinin Gordes ilcesi veri alinarak, bu ilcede yetisen on iki urunun toplam maliyet yapilari, birim fiyat satis degerleri ve karliliklari dekar basina ayri ayri hesaplanmistir. Yapilan hesaplamalar sonucunda uretim maliyetlerinin en yuksek oldugu ve de en yuksek karliliga sahip urunler belirlenmistir. Human history has seen three important revolutions. The first one is the agricultural revolution which started when the human race started settled life. The second one is the industrial revolution which started with the industrial use of steam power. The interdependence of agriculture and industry sectors, which are powered by these two revolutions, increases day by day. Ever developing technology has placed agriculture in an important position in terms of national income, together with industry and service sectors. This study takes data from Gordes town of Manisa province and calculates total cost structures, unit price sale values and profitability of 12 crops separately per one thousand square meter. It uses these data to see which crop has higher production costs and which crops yield the highest profitability.

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