欧盟不同农业结构下农产品价格差距的驱动因素

B. Czyżewski, A. Nicula, A. Nicula
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引用次数: 1

摘要

农产品产出指数包括农产品价格的加权变化,而中间消费指数描述了种子和种植原料、能源、肥料、土壤改良剂、植物保护产品或饲料等支出价格的波动。这两个指标的关系被定义为“价格差距”或“价格剪刀”。在主题文献中有许多农产品的价格模型。然而,对价格差距的驱动因素建模的问题很少被探讨。因此,作者的目标是估计代表不同农业结构的不同欧洲国家农产品价格差距的长期回归模型。分析需要几个阶段。在第一阶段,长期价格指数(1980年至2014年)是基于欧盟统计局和粮农组织统计局的所有可用农产品和支出的农业价格数据计算的。然后,在各自产出或投入的平均价格指数的基础上,用生产量或中间消费量对综合指数进行加权。在第二阶段,对随后欧洲国家的个别农场对土地要素的利用进行了聚类分析。在第三阶段,从每一类不同的国家中选择三个国家进行个案研究,并估计价格差距的计量经济学模型,其中产出和投入指数是独立变量。一个有趣的发现是,在集约化和规模化农业的国家(如法国、英国和丹麦),价格差距驱动因素的边际效应要比在农业结构分散的国家(如希腊、葡萄牙和爱尔兰)强得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drivers for the Agricultural Price Gap in the Different Agrarian Structures of the EU
The index of agricultural goods output comprises weighted changes of prices of agricultural commodities whereas the index of intermediate consumption describes fluctuations of outlays’ prices such as seeds and planting stock, energy, fertilizers, soil improvers, plant protection products or feedingstuffs. The relation of these two indices is defined as “price gap” or “price scissors”. There is a lot of price models for agricultural goods investigated in the subject literature. However , the issue of modeling drivers for the price gap has been rarely explored. For that reason authors aim to estimate long-term regression models of the agricultural price gap for different European countries that represent varied agrarian structures. The analysis entails few stages. In the first stage, the long-term price indices (from 1980 to 2014) were computed basing on EUROSTAT and FAOSTAT agricultural prices data for all available agricultural products and outlays in the EU-27 countries. Then, the aggregated indices were weighted with a volume of production or intermediate consumption on the basis of the average price indices for the respective outputs or inputs. In the second stage, a cluster analysis was performed with regard to the utilization of a land factor by individual farms in the subsequent European countries. In the third stage, three countries were chosen for case studies from the each of the distinguished clusters and the econometric models of price gap were estimated where the indices of outputs and inputs are independent variables. An interesting finding was discovered that marginal effects for price gap drivers are much stronger in the countries of an intensive and large scale agriculture (as France, Great Britain and Denmark) than in the countries of fragmented agrarian structures such as Greece, Portugal and Ireland.
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