估算多年生作物的供应反应:方法文献综述

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Jonathon Siegle, Gregory Astill, Zoë Plakias, Daniel Tregeagle
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引用次数: 0

摘要

多年生作物无论是在经济上还是作为健康营养饮食的组成部分(如许多水果和坚果)都非常重要。然而,多年生作物生产和农民对产出价格变化的反应(即供应反应)的研究十分复杂,这是因为这些行业的投资和决策具有动态性质。与一年生商品作物相比,与多年生作物供应反应相关的文献也很少。在本文中,我们对 30 多年来有关多年生作物供应响应模型的文献进行了首次回顾。我们梳理了多年生作物供应反应估算方面的进展,并讨论了这些方法的应用以及经济学家在使用这些方法时应注意的权衡问题。此外,我们还强调了未来可能对该领域有价值的建模发展,希望这项研究能鼓励对这一有趣而重要的课题进行更多的经济学研究,进而为多年生作物生产者和政策制定者提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating perennial crop supply response: A methodology literature review

Estimating perennial crop supply response: A methodology literature review

Perennial crops are important both economically and as a component of a healthy and nutritious diet (e.g., many fruits and nuts). However, the study of perennial crop production and farmer response to output price changes (i.e., supply response) is complex thanks to the dynamic nature of investment and decision making in these industries. The body of literature relevant to perennial crop supply response is also small relative to that of annual commodity crops. In this article, we contribute the first literature review on perennial crop supply response modeling in more than 30 years. We catalog advancements in estimating perennial crop supply response and discuss the application of these methods and trade-offs economists should be aware of when using them. In addition, we highlight future modeling developments that may be valuable to the field, with the hope this research will encourage additional economic research on this interesting and important topic and in turn provide new insights for perennial crop producers and policymakers.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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