在荟萃分析中使用机器学习方法:消费者对肉类替代品接受度的经验应用

IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY
Jiayu Sun, Vincenzina Caputo, Hannah Taylor
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引用次数: 0

摘要

元分析被广泛应用于包括应用经济学在内的各个学术领域。然而,论文检索的高劳动强度和样本量小仍然是两个主要的限制因素。我们在数据收集和数据分析阶段使用机器学习技术对消费者对植物肉和实验室培育肉类替代品的偏好进行了荟萃分析。我们证明,机器学习将人工筛选标题-摘要阶段的工作量减少了 69%,占数据收集总工作量的 24%。我们还发现,与计量经济学模型相比,机器学习可将样本外预测准确率提高 48-78 个百分点。值得注意的是,我们表明,整合机器学习还能提高计量经济学方法的预测性能,从而改善其样本外预测。我们的实证研究结果进一步表明,年轻消费者对肉类替代品的需求较高,尤其是当产品显示利益信息时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using machine-learning methods in meta-analyses: An empirical application on consumer acceptance of meat alternatives

Using machine-learning methods in meta-analyses: An empirical application on consumer acceptance of meat alternatives

Meta-analyses are widely used in various academic fields, including applied economics. However, the high labor intensity involved in paper searching and small sample sizes remain two dominant limiting factors. We conducted a meta-analysis of studies on consumer preferences for plant-based and lab-grown meat alternatives using machine-learning techniques at both the data collection and the data analysis phases. We demonstrated that machine learning reduces the workload in the manual title-abstract screen phase by 69% accounting for 24% of total workload in data collection. We also found that machine learning improves out-of-sample of sample prediction accuracy by 48–78 percentage points when compared to econometric model. Notably, we showed that integrating machine learning can also improve the predictive performance of econometric methods, thereby improving their out-of-sample predictions. Our empirical findings further revealed that demand for meat alternatives is higher among younger consumers, especially when the products displayed benefit information.

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来源期刊
Applied Economic Perspectives and Policy
Applied Economic Perspectives and Policy AGRICULTURAL ECONOMICS & POLICY-
CiteScore
10.70
自引率
6.90%
发文量
117
审稿时长
>12 weeks
期刊介绍: Applied Economic Perspectives and Policy provides a forum to address contemporary and emerging policy issues within an economic framework that informs the decision-making and policy-making community. AEPP welcomes submissions related to the economics of public policy themes associated with agriculture; animal, plant, and human health; energy; environment; food and consumer behavior; international development; natural hazards; natural resources; population and migration; and regional and rural development.
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