ERAE《欧洲农业经济学评论》2022年第49卷第4期目录及摘要
全文链接：
https://academic.oup.com/erae/issue/49/4
Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study
Christian Stetter, Philipp Mennig, Johannes Sauer
Assessing long-term effects of CAP investment support on indicators of farm performance
Pia Nilsson, Sofia Wixe
Do direct payments efficiently support incomes of small and large farms?
Stefano Ciliberti, Simone Severini, Maria Giovanna Ranalli, Luigi Biagini, Angelo Frascarelli
Does restricting therapeutic antibiotics use influence efficiency of pig farms? Evidence from Denmark’s Yellow Card Initiative
Dagim G Belay, Jørgen D Jensen
Scaling-up agricultural technologies: who should be targeted?
Shaibu Mellon Bedi, Carlo Azzarri, Bekele Hundie Kotu, Lukas Kornher, Joachim von Braun
Investment in farming under uncertainty and decoupled support: a real options approach
Luca Di Corato, Dimitrios Zormpas
Optimal localisation of agricultural biofuel production facilities and feedstock: a Swedish case study
Ida Nordin, Katarina Elofsson, Torbjörn Jansson
Consumers’ responses to food fraud risks: an economic experiment
Chloe S McCallum, Simone Cerroni, Daniel Derbyshire, W George Hutchinson, Rodolfo M Nayga Jr.
Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study
Christian Stetter Philipp Mennig Johannes Sauer
Abstract：Legislators in the European Union have long been concerned with the environmental impact of farming activities and introduced so-called agri-environment schemes (AES) to mitigate adverse environmental effects and foster desirable ecosystem services in agriculture. This study combines economic theory with a novel machine learning method to identify the environmental effectiveness of AES at the farm level. We develop a set of more than 130 contextual predictors to assess the individual impact of participating in AES. Results from our empirical application for Southeast Germany suggest the existence of heterogeneous, but limited effects of agri-environment measures in several environmental dimensions such as climate change mitigation, clean water and soil health. By making use of Shapley values, we demonstrate the importance of considering the individual farming context in agricultural policy evaluation and provide important insights into the improved targeting of AES along several domains.
Assessing long-term effects of CAP investment support on indicators of farm performance
Pia Nilsson Sofia Wixe
Abstract：In this study of Swedish farms from 2007 to 2016, we estimate the effects of investment support from the Common Agricultural Policy on indicators of farm performance, focusing on long-term effects. To isolate the impact and alleviate problems of selection bias, we employ a counterfactual empirical design using Coarsened Exact Matching and dynamic panel fixed-effects estimations. The average treatment effect on the treated estimates show a positive and significant long-term improvement of farm performance with regard to productivity and turnover. However, the results indicate significant time lags between investments and accumulated observable effects, as we find most short-term effects of the subsidy to be insignificant.
Do direct payments efficiently support incomes of small and large farms?
Stefano Ciliberti Simone Severini Maria Giovanna Ranalli Luigi Biagini Angelo Frascarelli
Abstract：This paper assesses how efficiently Common Agricultural Policy direct payments enhance farm incomes by applying a quantile continuous treatment effect model on the Italian Farm Accountancy Data Network sample. Adding to previous analyses, we show that income responses to direct payments are higher in large farms rather than in small farms and lower in farms benefiting from larger levels of support. This suggests that direct payments are not very efficient in supporting incomes of small farms and reducing the disparity existing within the farm population. Furthermore, results suggest that there is scope to reduce the amount of payments provided to highly supported farms.
Does restricting therapeutic antibiotics use influence efficiency of pig farms? Evidence from Denmark’s Yellow Card Initiative
Dagim G Belay Jørgen D Jensen
Abstract：In the light of increasing awareness of public health risks from livestock-sourced antimicrobial resistance, antimicrobial use in animal agriculture is facing increased regulations around the world. The most recent and sophisticated addition is the Danish Yellow Card Initiative, which imposes quantity restriction on therapeutic antibiotic use. Using a panel |$m$|-order conditional efficiency analysis, this article provides one of the first empirical estimates of the association between the Danish Yellow Card Initiative and the economic efficiency of pig farms. The research design enables us to establish associations rather than causal relationships but the results suggest a small reduction (0.15 percentage points for the average farm) in revenue efficiency and a small reduction (0.03 percentage points) in cost efficiency in the short run after imposing restrictions to antibiotic use.
Scaling-up agricultural technologies: who should be targeted?
Shaibu Mellon Bedi Carlo Azzarri Bekele Hundie Kotu Lukas Kornher Joachim von Braun
Abstract：The effects of agricultural technology adoption on farm performance have been studied extensively but with limited information on who should be targeted during scaling-up. We adopt the newly defined marginal treatment effect approach in examining how farmers’ resource endowment and unobserved factors influence the marginal benefits of adopting sustainable intensification (SI) practices. We estimate both the marginal and average benefits of adopting SI practices and predict which marginal farm household entrants will benefit the most at scale. Findings indicate that farmers’ resource endowment and unobserved factors affect the marginal benefits of adopting SI practices, which also influence maize yield and net returns among adopters. Finally, results imply that scaling up SI practices will favour farm household entrants associated with the lowest probability of adoption based on observed socioeconomic characteristics.
Investment in farming under uncertainty and decoupled support: a real options approach
Luca Di Corato Dimitrios Zormpas
Abstract：We develop a real options model to assess the impact of decoupled payments on agricultural investments. The context that we are addressing is the one set by the Common Agricultural Policy where farmers are eligible for decoupled payments as long as their land is properly maintained. We show that decoupled payments are non-neutral with respect to choices concerning timing and capacity. We find that they (i) induce earlier investment with lower productive capacity; (ii) increase the value of the investment option associated with land and (iii) reduce the volatility of farm income. A numerical exercise complements our theoretical analysis.
Optimal localisation of agricultural biofuel production facilities and feedstock: a Swedish case study
Ida Nordin Katarina Elofsson Torbjörn Jansson
Abstract：Policies for investment in biofuel production facilities and feedstock may be necessary in order to meet climate and renewable energy targets. These policies entail a trade-off between high transportation costs of biomass and economies of scale of production facilities. We develop a spatial optimisation model and investigate the cost-effective localization of production facilities for ethanol from agricultural land in Sweden. Feedstock costs are found to be most important in determining the location, although high feedstock density motivates locating large facilities in areas with high feedstock costs. At higher production, feedstock from the whole country is preferred despite high transport costs.
Consumers’ responses to food fraud risks: an economic experiment
Chloe S McCallum Simone Cerroni Daniel Derbyshire W George Hutchinson Rodolfo M Nayga Jr.
Abstract：This artefactual field experiment explores consumers’ willingness-to-pay (WTP) price premiums for fish products to avoid the risk and uncertainty of purchasing inauthentic produce. The influence of subjective probabilistic beliefs, risk and ambiguity preferences is investigated. Participants’ WTP is elicited using experimental auctions, while behavioural factors are elicited using incentivised and incentive-compatible methods: the quadratic scoring rule and multiple price lists. Results show that consumers are willing to pay a premium to avoid food fraud and purchase an authentic fish product. This premium is higher under uncertainty than risk, likely driven by ambiguity preferences which affect consumers’ purchasing under uncertainty.
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