Abstract
AbstractEx ante analyses of agricultural practices often examine stated preference data, yet response behavior as a potential source of bias is often disregarded. We use survey data to estimate producers’ willingness to rent public land for rotational grazing in Wisconsin and combine it with information on nonrespondents to control for nonresponse and avidity effects. Previous experience with managed grazing and rental decisions influenced who responded as well as their rental intentions. These effects do not produce discernable bias but still encourage attention to this possibility in other ex ante contexts. Land rental determinants and willingness-to-pay estimates are also related to grazing initiatives.
Highlights
Grazing has been widely practiced on public land in the United States for more than a century
Many of the estimates are statistically significant and have the expected signs in terms of predicting enrollment. These findings provide a useful basis for summarizing factors that positively shape the likelihood of participating in public land rentals
This article contributes to economic literature on ex ante analysis of agricultural production practices, technologies, and management strategies by examining the effect of survey response behavior on Wisconsin beef cattle producers’ willingness to rent public land for rotational grazing
Summary
Grazing has been widely practiced on public land in the United States for more than a century. User fees have not covered the full financial costs of program management (Gardner, 1997) These programs possibly affect wild animal populations that compete with cattle for habitat or are perceived as a threat (Frisina and Morin, 1991; Whittlesey, Huffaker, and Butcher, 1993). Despite these potential drawbacks, public land stakeholders in other U.S regions are investigating whether renting public land to private livestock producers for management intensive grazing (MIG) practices such as rotational grazing, mob grazing, or cell grazing could serve as a cost-effective tool for maintaining a stock of productive and diverse public grassland ecosystems (Melkonyan and Taylor, 2013)
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