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Agricultural performance in Turkey and some uropean countries: an application factorial analysis

机译:土耳其和一些欧洲国家的农业绩效:应用因子分析

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Main aim of this article is to analyze agricultural performances of Turkey and some of EU countries. The models of factor analysis represent each country's agricultural performance. This model, in which they treat simultaneously variable manifest andvariable latent, settle down like models of Confirming Factorial Analysis within the field of the models of agricultural performance. Part of 32 variables obtained by FAO, USSD, Eurostat. Variables are compiled and then it was obtained eight factors. "IRPLU" (Intensiveness of Rural Population and Land Use); factor 2 "AFTIIU" (Agricultural Foreign Trade and Intensiveness of Input Use); factor 3 "PAP" (Productivity of Agricultural Production); factor 4 "ILUOCA" (Intensiveness of Land Use in the Out of Agriculture); factor 5 "IAFC" (Intensiveness of the Agricultural Food Consumption), factor 6 "IMU" (Intensiveness of Machinery Use); factor 7 "IAG" (Intensiveness of the Agricultural Growth) and factor 8 "MUAH" (Machinery Use in Animal Husbandry). "IRPLU" was found that it was the most important factor from the aspect of Turkey.
机译:本文的主要目的是分析土耳其和某些欧盟国家的农业绩效。因子分析模型代表了每个国家的农业绩效。他们同时处理变量清单和变量潜伏的模型,在农业绩效模型领域内像确认因子分析模型一样稳定下来。 FAO,USSD,Eurostat获得的32个变量中的一部分。编译变量,然后获得八个因子。 “ IRPLU”(农村人口和土地利用强度);要素2“ AFTIIU”(农业对外贸易和投入物使用强度);因子3“ PAP”(农业生产的生产率);因子4“ ILUOCA”(农业用地的集约利用强度);因子5“ IAFC”(农业食品消费强度),因子6“ IMU”(机械使用强度);因子7“ IAG”(农业增长强度)和因子8“ MUAH”(畜牧业中的机械用途)。从土耳其方面来看,“ IRPLU”是最重要的因素。

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