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A contribution to the empirics of food price behavior: the case of rice price dynamics in Italy
British Food Journal ( IF 3.3 ) Pub Date : 2020-09-03 , DOI: 10.1108/bfj-12-2019-0937
Gustavo Barboza , Laura Gavinelli , Valerien Pede , Alice Mazzucchelli , Angelo Di Gregorio

Purpose

The purpose is to detect the nonlinearity wholesale rice price formation process in Italy in the 1995–2017 period.

Design/methodology/approach

A nonlinear smooth transition autoregressive (STAR)-type dynamics model is used.

Findings

Wholesale rice prices are significantly affected by variations in the international price of rice as well as variations in Arborio price.

Research limitations/implications

The limitations include policy recommendations for the production and commercialization of rice in Italy.

Practical implications

Understanding rice pricing dynamics and nonlinearity behavior is pivotal for the survival of the entire European and Italian rice supply chain.

Originality/value

In the extant literature, no evidence exists on non-linearity of rice prices in Italy.



中文翻译:

对粮食价格行为经验的贡献:意大利大米价格动态的案例

目的

目的是检测1995-2017年期间意大利大米批发价格的非线性过程。

设计/方法/方法

使用非线性平滑过渡自回归(STAR)型动力学模型。

发现

大米的批发价格受到国际大米价格变动和Arborio价格变动的重大影响。

研究局限/意义

这些限制包括意大利大米生产和商业化的政策建议。

实际影响

了解大米的定价动态和非线性行为对于整个欧洲和意大利大米供应链的生存至关重要。

创意/价值

在现有文献中,没有关于意大利大米价格非线性的证据。

更新日期:2020-09-03
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