论文标题
使用Pyrespro（Python生产弹性包）分析欧洲商品生产系统的弹性
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package
论文作者
论文摘要
本文提出了一个面向对象的软件和代码，以计算年度生产弹性指标。年度生产弹性指标可以应用于不同的人类和自然系统，例如农业生产，自然植被和水资源。在这里，我们展示了欧洲农业生产的经济价值的弹性分析的例子。为了估计单个商品和时间序列的弹性，对单个时间序列进行了分析，以估算由不同作物和/或不同国家组成的多元化生产系统的整体弹性。所提出的软件功能强大且易于使用，包括本研究中使用的数据集。
This paper presents a Python object-oriented software and code to compute the annual production resilience indicator. The annual production resilience indicator can be applied to different anthropic and natural systems such as agricultural production, natural vegetation and water resources. Here, we show an example of resilience analysis of the economic values of the agricultural production in Europe. The analysis is conducted for individual time-series in order to estimate the resilience of a single commodity and to groups of time-series in order to estimate the overall resilience of diversified production systems composed of different crops and/or different countries. The proposed software is powerful and easy to use with publicly available datasets such as the one used in this study.
