Environmentally Adjusted Analysis of Agricultural Efficiency: A Systematic Literature Review of Frontier Approaches

IF 0.9 Q4 AGRICULTURAL ECONOMICS & POLICY Zagadnienia Ekonomiki Rolnej Pub Date : 2023-03-01 DOI:10.30858/zer/162644
J. Staniszewski, A. Matuszczak
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Abstract

Abstract The paper reviews 200 papers regarding environmentally adjusted analysis of agricultural efficiency found in the Scopus database. Based on the PRISMA method the scope of the review was limited to papers where efficiency is assessed with data envelopment analysis (DEA) or stochastic frontier analysis (SFA). The aim of this paper is to identify how efficiency analysis can be enhanced to take into account environmental aspects of agricultural production and indicate the research trends and gaps. Regarding the trends, most of the studies refer to agriculture in Europe, with a noticeable increasing trend in Asia. The production directions under research mainly include crops or milk production, usually in the farm scale. It can also be observed that a typical economic efficiency model is developed to include new environmentally detrimental inputs or undesirable outputs, such as fertilizing, climate impact, crop protection, water footprint, and energy usage. The most common determinants were farmers features, scale of production, intensification, agricultural practices, quality of the production environment, macroeconomic environment, specialization, environmental practices, and farm features. The following research gaps were identified. The case studies of Africa and North America are limited, like those at the field and local levels as well as those related to horticultural and animal production other than milk production. The SFA approaches are underdeveloped in comparison with DEA, like approaches other than additional inputs/outputs. In particular, the by-production approach seems promising. Limited attention has been paid to soil condition, biodiversity, waste generation in agriculture, and positive externalities provided by the agriculture. An interesting and less investigated area in terms of performance determinants remain farmers’ behavioral features.
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农业效率的环境调整分析:前沿方法的系统文献综述
摘要本文综述了Scopus数据库中200篇关于农业效率环境调整分析的论文。基于PRISMA方法,本综述的范围仅限于用数据包络分析(DEA)或随机前沿分析(SFA)评估效率的论文。本文的目的是确定如何加强效率分析,以考虑农业生产的环境因素,并指出研究趋势和差距。关于趋势,大多数研究涉及欧洲的农业,亚洲的趋势明显增加。研究的生产方向主要包括作物或牛奶生产,通常在农场规模。还可以观察到,开发了一个典型的经济效率模型,以包括新的对环境有害的投入或不希望的产出,如施肥、气候影响、作物保护、水足迹和能源使用。最常见的决定因素是农民特征、生产规模、集约化、农业实践、生产环境质量、宏观经济环境、专业化、环境实践和农场特征。确定了以下研究空白。非洲和北美的案例研究是有限的,就像实地和地方一级的案例研究以及与园艺和除牛奶生产以外的动物生产有关的案例研究一样。与DEA相比,SFA方法是不发达的,就像其他方法一样,除了额外的投入/产出。特别是,副产品方法似乎很有希望。对土壤条件、生物多样性、农业废弃物产生以及农业提供的正外部性的关注有限。就绩效决定因素而言,一个有趣但研究较少的领域仍然是农民的行为特征。
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