The Role of Anticipated Regret in Farmers’ Land Conversion Decisions

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2025-02-09
Authors
Doidge, Mary
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Multidisciplinary Digital Publishing Institute
Abstract
Conversion of grassland to cropland in the Prairie Pothole Region of North and South Dakota has many environmental consequences, including the loss of important migratory bird breeding grounds, increased agricultural chemical use, and release of sequestered carbon into the atmosphere. While conversion has negative ecological consequences, in years of high crop prices, cropland can generate higher returns than grassland, and farmers therefore face economic incentives for conversion in these years. However, recent research suggests that farmers may not convert land despite the economic incentives to do so. In this paper, we used the results of a framed economic experiment to explore the role of anticipated regret in farmers’ land conversion decisions. We used duration analysis to investigate the effect of anticipated regret salience on the risk of grass-to-crop land conversion and examined the regret participants express ex post about their land use decisions. Our results show that conversion risk from grassland to cropland was lower when anticipated regret was made salient than when it was not. Additionally, farmers expressed more regret about decisions to convert their land than when they left their land in grass. These results suggest that anticipated regret may play a role in farmers’ land conversion decisions, and that encouraging farmers to consider how they might feel about their decisions in the future may lead to lower rates of grass-to-crop conversion. We propose operational policy strategies based on our findings.
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This article is published as Doidge, M.; Feng, H. The Role of Anticipated Regret in Farmers’ Land Conversion Decisions. Land 2025, 14, 361. https://doi.org/10.3390/land14020361.
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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This research was partially funded by the North Central Climate Science Center, US Geological Survey, FAIN: G15AP00086.
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