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Economics of herbicide‐free crop production 无除草剂作物生产的经济效益
IF 5.8 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-07-08 DOI: 10.1002/aepp.13461
Eileen Ziehmann, Niklas Möhring, Robert Finger
Ambitious pesticide policies aiming to reduce pesticide applications and risks have been introduced across Europe. Herbicides represent a major part of pesticide use, but the uptake of mechanical or agronomic alternatives remains low. We here explore underlying reasons and provide policy insights for supporting a transformation to herbicide‐free production, accounting for both economic and agronomic drivers. We develop detailed extensions to an existing bio‐economic modeling approach and use stochastic dominance analysis to assess the performance of non‐chemical alternatives to herbicides under different production and market conditions exante. We apply our approach to Swiss wheat production and find that herbicide‐free production is not viable without financial support, and thus requires additional per‐hectare agri‐environmental payments and price markups to be economically viable. We find that currently available support payments in Switzerland are sufficient in achieving economic viability of herbicide‐free production. Moreover, we confirm the relevance of risk and risk preferences and identify a risk‐reducing character of herbicide‐free production systems with support payments. Our analysis provides insights on potential drivers, trade‐offs, decision‐making factors, and policies for a transition to non‐chemical weed control.
欧洲各国出台了雄心勃勃的农药政策,旨在减少农药施用量和风险。除草剂是农药使用的主要部分,但机械或农艺替代品的使用率仍然很低。我们在此探讨其根本原因,并提供政策见解,以支持向无除草剂生产转型,同时考虑经济和农艺驱动因素。我们对现有的生物经济建模方法进行了详细扩展,并利用随机优势分析评估了除草剂的非化学替代品在不同生产和市场条件下的事前表现。我们将这一方法应用于瑞士的小麦生产,发现如果没有财政支持,不使用除草剂的生产是不可行的,因此需要额外的每公顷农业环境付款和加价才能在经济上可行。我们发现,瑞士现有的支持性付款足以实现无除草剂生产的经济可行性。此外,我们还证实了风险和风险偏好的相关性,并确定了使用支持性付款的无除草剂生产系统具有降低风险的特性。我们的分析为向非化学除草过渡的潜在驱动因素、权衡、决策因素和政策提供了启示。
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引用次数: 0
Universal free school meals: Examining factors influencing adoption of the Community Eligibility Provision 普及免费校餐:研究影响采用社区资格规定的因素
IF 5.8 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-07-04 DOI: 10.1002/aepp.13460
Pratyoosh Kashyap, Becca B. R. Jablonski
Recognizing school meals as critical safety nets for children in low‐income households, many states are passing legislation to adopt universal free school meals, linking their funding to the Community Eligibility Provision (CEP), a federally funded universal free school meal program. However, about half of all eligible school districts did not participate in CEP in the school year 2018–2019. Using a policy diffusion approach and a Cox regression model, this research demonstrates the importance of a school district's identified student percentage (poverty level) and a state's direct certification rate (certifying students for free meals) in increasing the likelihood of CEP adoption.
由于认识到学校供餐是低收入家庭儿童的重要安全网,许多州正在通过立法,采用全民免费学校供餐,并将其资金与联邦政府资助的全民免费学校供餐计划 "社区资格规定"(CEP)挂钩。然而,在2018-2019学年,约有一半的合格学区没有参与CEP。本研究采用政策扩散方法和考克斯回归模型,证明了学区的认定学生比例(贫困水平)和州的直接认证率(认证学生获得免费餐)在增加采用 CEP 的可能性方面的重要性。
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引用次数: 0
An evaluation of Congressional Budget Office's baseline projections of USDA mandatory farm and nutrition programs 评估国会预算办公室对美国农业部强制性农业和营养计划的基线预测
IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-06-25 DOI: 10.1002/aepp.13457
Hari P. Regmi, Todd H. Kuethe

The Congressional Budget Office (CBO) projections of USDA's mandatory farm and nutrition program outlays are important in shaping US agricultural policy. Using CBO projections and observed outcomes from 1985 through 2020, we examine the degree to which projections of farm, supplemental nutrition assistance program (SNAP), and child nutrition program outlays are unbiased, efficient, and informative. We find that projections for farm and child nutrition program outlays are unbiased, SNAP outlays are unbiased at short-term but are downward biased beyond a 3-year horizon. All three series of projections are inefficient. SNAP and child nutrition program outlay projections are informative up to a 5-year horizon, but the farm program outlay projections are informative for only a 1-year horizon. Disaggregated farm program data since 2008 suggests that the uninformativeness principally stems from conservation and commodity program projections. The findings may be valuable to CBO, as they continue to improve projections, and to projection users, in adjusting their expectations.

美国国会预算办公室(CBO)对美国农业部强制性农业和营养计划支出的预测对美国农业政策的制定非常重要。利用 CBO 的预测和从 1985 年到 2020 年的观察结果,我们研究了对农业、补充营养援助计划 (SNAP) 和儿童营养计划支出的预测在多大程度上是无偏的、有效的和信息丰富的。我们发现,对农业和儿童营养计划支出的预测是无偏的,对补充营养援助计划支出的预测在短期内是无偏的,但超过 3 年后就会向下偏移。所有三个系列的预测都是低效的。SNAP 和儿童营养计划支出预测在 5 年期限内具有参考价值,但农业计划支出预测仅在 1 年期限内具有参考价值。2008 年以来的农业计划分类数据表明,信息不灵主要源于农业保护和商品计划的预测。这些发现可能对 CBO 有价值,因为他们将继续改进预测,也可能对预测用户有价值,因为他们将调整自己的预期。
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引用次数: 0
The Farm Workforce Modernization Act and warnings from previous immigration reforms 农业劳动力现代化法》和以往移民改革的警示
IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-06-19 DOI: 10.1002/aepp.13458
Diane Charlton

Immigrants are vital to agricultural production in the United States, and nearly half the crop workforce is unauthorized. Previous attempts to reform the immigration system have not successfully legalized the farm workforce or caused substantive rise in farmworker incomes. Current proposed legislation would legalize unauthorized farmworkers, streamline the H-2A agricultural guest worker program, and provide a pathway to citizenship for H-2A workers while simultaneously requiring agricultural employers to check the immigration status of workers using E-Verify. This paper discusses proposed farm labor legislation in the context of current farm labor market conditions, outcomes of historical farm labor and immigration policies, and ongoing immigration trends.

移民对美国的农业生产至关重要,而近一半的农作物劳动力是未经许可的。以往改革移民制度的尝试并没有成功地使农业劳动力合法化,也没有使农民收入得到实质性提高。目前提议的立法将使未经授权的农场工人合法化,简化 H-2A 农业客工计划,并为 H-2A 工人提供获得公民身份的途径,同时要求农业雇主使用 E-Verify 检查工人的移民身份。本文结合当前的农业劳动力市场状况、历史上农业劳动力和移民政策的结果以及当前的移民趋势,讨论了拟议的农业劳动力立法。
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引用次数: 0
Public agricultural research, political economy, and climate change: A literature review 公共农业研究、政治经济学和气候变化:文献综述
IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-06-14 DOI: 10.1002/aepp.13455
Ruiqing Miao, Recep Ulucak, David Zilberman

Impacted by both economic and political forces, agricultural research serves as a critical approach to alleviating the adverse effects of climate change. Focusing on public agricultural research in the United States, this paper provides a literature review on research and development from the perspectives of the market environment and political economy. It also examines the current assessment of agricultural research effectiveness in addressing the challenges of climate change. A bibliometric analysis is conducted to appreciate the knowledge dynamics in the nexus of agricultural research, political economy, and climate change. Future research directions related to public agricultural research are discussed.

农业研究受到经济和政治力量的双重影响,是减轻气候变化不利影响的关键方法。本文以美国的公共农业研究为重点,从市场环境和政治经济的角度对研究与发展进行了文献综述。本文还研究了当前对农业研究在应对气候变化挑战方面的有效性的评估。通过文献计量分析,了解农业研究、政治经济和气候变化之间的知识动态。还讨论了与公共农业研究相关的未来研究方向。
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引用次数: 0
Measuring the economic contribution of Agricultural and Applied Economics departments in the United States 衡量美国农业与应用经济学系的经济贡献
IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-06-05 DOI: 10.1002/aepp.13454
Michael K. Adjemian, Raghav Goyal, Ron Mittelhammer, Dawn Thilmany

Agricultural and applied economists make substantial positive contributions to the domestic economy. Defining a measure of the true total value of their contributions is likely impossible, because so much about their efforts is difficult to comprehensively observe and quantitatively document. In this paper, we adopt a conservative approach to generating an estimate of the contributions ag and applied economists make to U.S. economic output and the associated welfare of society through their teaching, research, and outreach efforts. To conduct the analysis, we implemented a nationwide survey of Agricultural and Applied Economics (AAE) departments and developed a framework to calculate the value of their contributions to national income, or Gross Domestic Product (GDP). We estimate that AAE departments increase overall U.S. GDP by $2.6 billion, annually. Through its efforts to improve the human capital of its graduates, AAE teaching raises the (expected) national income by $2.2–$2.3 billion, while we value direct research and outreach contributions at $207 million and $146 million, respectively. Because we do not observe the opportunity cost of the resources used to generate those contributions, we do not claim to estimate a true net economic impact but rather attempt to quantify the gross economic contributions of the professional services AAE departments currently offer the economy. The values we provide—especially the research and extension estimates which are exceedingly difficult to measure—likely underestimate the true benefits AAE offers to the nation.

农业和应用经济学家为国内经济做出了巨大的积极贡献。要衡量他们所做贡献的真实总价值很可能是不可能的,因为他们所做的很多工作都很难被全面观察和量化记录。在本文中,我们采用一种保守的方法来估算农业经济学家和应用经济学家通过其教学、研究和推广工作对美国经济产出和相关社会福利所做的贡献。为了进行分析,我们在全国范围内对农业与应用经济学(AAE)系进行了调查,并制定了一个框架来计算他们对国民收入或国内生产总值(GDP)的贡献值。我们估计,农业与应用经济学系每年为美国总体 GDP 增加 26 亿美元。通过努力提高毕业生的人力资本,AAE 教学使国民收入(预期)增加了 22 亿至 23 亿美元,而我们估算的直接研究和外联贡献分别为 2.07 亿美元和 1.46 亿美元。由于我们没有观察到用于产生这些贡献的资源的机会成本,因此我们并不声称能够估算出真正的净经济影响,而是试图量化 AAE 学科目前为经济提供的专业服务的总经济贡献。我们提供的数值--尤其是极难衡量的研究和推广估算--可能低估了 AAE 为国家带来的真正利益。
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引用次数: 0
Have agricultural and applied economists lost sight of the land-grant mission? A textual analysis of Presidential Addresses and Invited Papers from 1919–2022 农业和应用经济学家是否忘记了赠地学院的使命?对 1919-2022 年总统演讲和特邀论文的文本分析
IF 3.3 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY Pub Date : 2024-06-03 DOI: 10.1002/aepp.13456
Norbert L. W. Wilson, Natalie Hochhaus

Agricultural and applied economists have maintained a public discourse at the Agricultural and Applied Economics Association (AAEA) meetings and subsequently published papers discussing the mission of land-grant institutions and the role of AAEA members in that mission. With a content analysis of 4001 Invited Papers and Presidential Speeches, we find agricultural and applied economists questioned their profession's purpose and role within the land-grant system. The reflective questions still apply to land-grant institutions and the agricultural and applied economics profession. We argue that AAEA members are crucial in addressing the food and agricultural challenges connected to society's deepest needs today and into the future.

农业与应用经济学家在农业与应用经济学协会(AAEA)会议上进行了公开讨论,并随后发表论文,讨论了赠地机构的使命以及 AAEA 成员在这一使命中的作用。通过对 4001 篇特邀论文和主席演讲的内容分析,我们发现农业与应用经济学家对其专业的宗旨以及在赠地教育体系中的作用提出了质疑。这些反思性问题仍然适用于赠地机构和农业与应用经济学专业。我们认为,AAEA 成员在应对与当今和未来社会最深切需求相关的粮食和农业挑战方面至关重要。
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引用次数: 0
Leveraging unsupervised machine learning to examine Women's vulnerability to climate change 利用无监督机器学习研究妇女面对气候变化的脆弱性
IF 5.8 2区 经济学 Q1 Social Sciences Pub Date : 2024-06-01 DOI: 10.1002/aepp.13444
German Caruso, Valerie Mueller, Alexis Villacis
We provide an application of machine learning to identify the distributional consequences of climate change in Malawi. We compare climate impact estimates based on drought indicators established objectively from the k‐means algorithm to more traditional measures. Young women affected by drought were 5 percentage points more likely to be married by 18 than those living in nondrought areas. Our approach generates robust results when varying the number of clusters and definition of treatment status. In some cases, we find the design using k‐means to define treatment is more likely to satisfy the assumptions underlying the difference‐in‐differences strategy than when using arbitrary thresholds. Projections from the estimates indicate future drought risk may lead to larger declines in labor productivity due to women's engagement in early age marriage than other factors affecting their participation rates. Under the extreme representative concentration pathway scenario, drought exposure encourages the exit of 3.3 million women workers by 2100.
我们应用机器学习来确定气候变化在马拉维造成的分布性后果。我们将根据 k-means 算法客观确定的干旱指标得出的气候影响估计值与更传统的测量方法进行了比较。与生活在非干旱地区的年轻女性相比,受干旱影响的年轻女性在 18 岁之前结婚的可能性要高出 5 个百分点。当改变聚类的数量和处理状态的定义时,我们的方法会产生稳健的结果。在某些情况下,我们发现与使用任意阈值的方法相比,使用 k-means 方法定义治疗的设计更有可能满足差分策略的基本假设。估算结果表明,与影响妇女参与率的其他因素相比,未来的干旱风险可能会导致妇女参与早婚而导致劳动生产率大幅下降。在极端代表性集中路径情景下,到 2100 年,干旱风险将导致 330 万名女工退出劳动市场。
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引用次数: 0
Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives 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 5.8 2区 经济学 Q1 Social Sciences Pub Date : 2024-05-28 DOI: 10.1002/aepp.13446
Jiayu Sun, Vincenzina Caputo, Hannah Taylor
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.
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。
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引用次数: 0
Agricultural land use modeling and climate change adaptation: A reinforcement learning approach 农业土地利用建模与气候变化适应:强化学习方法
IF 5.8 2区 经济学 Q1 Social Sciences Pub Date : 2024-05-28 DOI: 10.1002/aepp.13448
Christian Stetter, Robert Huber, Robert Finger
This paper provides a novel approach to integrate farmers' behavior in spatially explicit agricultural land use modeling to investigate climate change adaptation strategies. More specifically, we develop and apply a computationally efficient machine learning approach based on reinforcement learning to simulate the adoption of agroforestry practices. Using data from an economic experiment with crop farmers in Southeast Germany, our results show that a change in climate, market, and policy conditions shifts the spatial distribution of the uptake of agroforestry systems. Our modeling approach can be used to advance currently used models for ex ante policy analysis by upscaling existing knowledge about farmers behavioral characteristics and combine it with spatially explicit environmental and farm structural data. The approach presents a potential solution for researchers who aim to upscale information, potentially enriching and complementing existing land use modeling approaches.
本文提供了一种新方法,将农民行为纳入空间明确的农业土地利用建模中,以研究气候变化适应战略。更具体地说,我们开发并应用了一种基于强化学习的计算高效的机器学习方法来模拟农林业实践的采用。利用德国东南部农作物种植者的经济实验数据,我们的研究结果表明,气候、市场和政策条件的变化会改变农林系统吸收的空间分布。我们的建模方法可用于提升现有的农民行为特征知识,并将其与空间明确的环境和农场结构数据相结合,从而推进当前使用的事前政策分析模型。这种方法为那些旨在扩大信息规模的研究人员提供了一种潜在的解决方案,有可能丰富和补充现有的土地利用建模方法。
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引用次数: 0
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Applied Economic Perspectives and Policy
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