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View article: Round effects in economic experiments—A novel probabilistic programming approach to round-dependent response behaviour
Round effects in economic experiments—A novel probabilistic programming approach to round-dependent response behaviour Open
Respondents in multi-round experimental studies can show round-dependent response behaviour, subsumed as round effects, which can distort the analysis of study results. In this paper, we develop a novel probabilistic programming approach t…
View article: ECIRA - European crop-specific irrigated area at 1 km resolution annually from 2010 to 2020
ECIRA - European crop-specific irrigated area at 1 km resolution annually from 2010 to 2020 Open
Irrigation significantly contributes to total water withdrawal and exhibits considerable spatial and temporal variability, particularly in more humid regions. This variability is caused by climate, soil properties, and crop water requireme…
View article: Markets and incentives strongly drive agroforestry adoption: insights from ethnic minority smallholders in Son La, Vietnam
Markets and incentives strongly drive agroforestry adoption: insights from ethnic minority smallholders in Son La, Vietnam Open
Agroforestry has been promoted in northwestern Vietnam as a sustainable land management practice that offers multiple benefits, including livelihood enhancement, income diversification, adaptation to climate variability and reduced soil er…
View article: A dataset of yearly probabilistic crop type maps for the EU from 1990 to 2018
A dataset of yearly probabilistic crop type maps for the EU from 1990 to 2018 Open
We provide an ensemble of probabilistic crop type maps for the entire European Union, mapping the shares of 25 different crop types at 1km resolution for all years from 1990 to 2018. We generate the maps using a recently developed approach…
View article: Graph Neural Networks for Crop Cover Mapping
Graph Neural Networks for Crop Cover Mapping Open
Crop maps provide valuable insights for a range of applications, including water resources management, crop yield prediction, and the planning of domestic and foreign policies. Information on seasonal or yearly agricultural land cover can …
View article: Impacts of agricultural production decisions on the safe and just operating space: A systematic literature review
Impacts of agricultural production decisions on the safe and just operating space: A systematic literature review Open
Agricultural production decisions impact how agriculture navigates within the safe and just operating space (SJOS). The ability to model and assess these impacts is crucial for policy analysis. This study systematically explores the litera…
View article: Probabilistic crop type mapping for ex-ante modelling and spatial disaggregation
Probabilistic crop type mapping for ex-ante modelling and spatial disaggregation Open
Agricultural land use and management fundamentally impacts the condition of natural resources like waterbodies, soils, and biodiversity. Modelling the anthropogenic effects on those resources over time requires detailed knowledge of the te…
View article: Economics of the Adoption of Artificial Intelligence–Based Digital Technologies in Agriculture
Economics of the Adoption of Artificial Intelligence–Based Digital Technologies in Agriculture Open
Rapid advances and diffusion of artificial intelligence (AI) technologies have the potential to transform agriculture globally by improving measurement, prediction, and site-specific management on the farm, enabling autonomous equipment th…
View article: Field observation and verbal exchange as different peer effects in farmers’ technology adoption decisions
Field observation and verbal exchange as different peer effects in farmers’ technology adoption decisions Open
Farmers’ adoption of novel technologies is influenced by other farmers’ behavior, a phenomenon known as peer effects. Although such effects have been studied intensively, the literature does not clearly distinguish between those that resul…
View article: Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis
Probabilistic programming for embedding theory and quantifying uncertainty in econometric analysis Open
The replication crisis in empirical research calls for a more mindful approach to how we apply and report statistical models. For empirical research to have a lasting (policy) impact, these concerns are crucial. In this paper, we present P…
View article: Research priorities to leverage smart digital technologies for sustainable crop production
Research priorities to leverage smart digital technologies for sustainable crop production Open
Agriculture faces several challenges including climate change and biodiversity loss while, at the same time, the demand for food, feed, biofuels, and fiber is increasing. Sustainable intensification aims to increase productivity and input-…
View article: Decomposing household income differences between farmers and non‐farmers: Empirical evidence from Norway
Decomposing household income differences between farmers and non‐farmers: Empirical evidence from Norway Open
Income comparisons between farm and non‐farm households play a crucial role in many aspects of farm policy. Using household income data from tax returns of all Norwegian taxpayers in the period 2006–2015 we study these income differences. …
View article: Adapting agroforestry to upland farming systems: narratives from smallholder farmers in Northwest Vietnam
Adapting agroforestry to upland farming systems: narratives from smallholder farmers in Northwest Vietnam Open
Fruit tree–based agroforestry has been promoted as an alternative farming practice in upland Northwest Vietnam to replace monocultures of staple crops. Although many studies have focused on evaluating the performance of agroforestry system…
View article: Evaluating environmental effects of adopting automatic milking systems on Norwegian dairy farms
Evaluating environmental effects of adopting automatic milking systems on Norwegian dairy farms Open
We present a novel procedure based on eco-efficiency for assessing farm-level effects of technology adoption while considering secondary effects. Secondary effects are defined as structural and behavioural adaptations to technology that ma…
View article: Identifying farmers' response to changes in marginal and average subsidies using deep learning
Identifying farmers' response to changes in marginal and average subsidies using deep learning Open
Much of the developed world has adopted substantial, complex agricultural subsidy schemes in an attempt to produce desired rural livelihood and environmental outcomes. Understanding how farmers adjust their production activity in response …
View article: Surrogate modelling of a detailed farm‐level model using deep learning
Surrogate modelling of a detailed farm‐level model using deep learning Open
Technological change co‐determines agri‐environmental performance and farm structural transformation. Meaningful impact assessment of related policies can be derived from farm‐level models that are rich in technology details and environmen…
View article: Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica
Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica Open
We present rare, empirical evidence on the permanence of land use changes induced by a payments for ecosystem services (PES) program. A follow-up study was conducted a decade after the end of the Regional Integrated Silvo-pastoral Ecosyste…
View article: The case of organic dairy conversion in Norway: Assessment of multivariate neighbourhood effects
The case of organic dairy conversion in Norway: Assessment of multivariate neighbourhood effects Open
This study examines the impact of neighbourhood effects and individual farm characteristics on the decision process of organic dairy conversion in Norway, using a unique, spatially explicit farm-level panel set comprising information at th…
View article: Machine learning in agricultural and applied economics
Machine learning in agricultural and applied economics Open
This review presents machine learning (ML) approaches from an applied economist’s perspective. We first introduce the key ML methods drawing connections to econometric practice. We then identify current limitations of the econometric and s…
View article: Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany
Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany Open
Accounting for spatial interactions between farms is highly relevant for the analysis of agricultural policy impacts. Existing studies, however, only account for homogeneous (average) spatial interactions. We develop a mixture modelling fr…
View article: Pricing behaviour of cooperatives and investor-owned dairies under spatial competition
Pricing behaviour of cooperatives and investor-owned dairies under spatial competition Open
This paper analyses differences in the pricing behaviour between cooperatives and investor-owned dairies for raw milk in a spatial market setting. We systemize the theoretical literature concerning the relations between price and space in …
View article: USING MULTIPLE NEIGHBORING INTERACTION EFFECTS IN SPATIAL REGRESSION SPECIFICATIONS TO REDUCE OMITTED VARIABLE BIAS
USING MULTIPLE NEIGHBORING INTERACTION EFFECTS IN SPATIAL REGRESSION SPECIFICATIONS TO REDUCE OMITTED VARIABLE BIAS Open
A major challenge in the analysis of micro level spatial interaction is to distinguish actual interactions from the effects of spatially correlated omitted variables. We consider a spatially lagged explanatory model (SLX) employing two spa…