Description

This study fills a gap in cultural ecosystem service (CES) assessment of prime farmland located in peri-urban areas by presenting results from a choice experiment recently conducted in Utah’s Wasatch Front region. The choice experiment was designed to account for heterogeneous effects associated with a wide array of socio-demographic and attitudinal characteristics on household preferences for farmland preservation, including farmland used for the joint production of solar power and agricultural products. We apply a mixed-logit model to our data that controls for preference heterogeneity among Wasatch Front households along two dimensions – at the individual household level and according to different household types. We find that the typical household is willing to pay a non-trivial annual fee to preserve the region’s existing peri-urban farmland, and to a lesser extent is willing to pay for agrivoltaics on that land. We also find extensive preference heterogeneity among different types of households for farmland preservation and agrivoltaics. These findings can serve as crucial components of broader land-use studies designed to account for the full range of agri-environmental ecosystem services.

Document Type

Dataset

DCMI Type

Dataset

File Format

.zip, .txt, .csv

Publication Date

4-19-2021

Funder

Utah Agricultural Experiment Station

Publisher

Utah State University

Award Number

Utah Agricultural Experiment Station, UTAO-1334

Methodology

Data is primary, compiled in comma-separated values (CSV) format. The data was collected from households in Layton and Spanish Fork, Utah as part of Tiffany Woods’ Master’s thesis research.

Start Date

11-25-2019

End Date

1-3-2020

Location

Layton, Utah, USA Spanish Fork, Utah, USA

Language

eng

Code Lists

See the README.txt file.

Disciplines

Agricultural Economics | Agriculture | Life Sciences

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/nt3d-6s71

Checksum

cf31617444b9e15d58bf1a6b199b9651

Additional Files

README.txt (2 kB)
MD5:26c837ad07cc3d97901627a5e21b1601

Final_Dataset_Archive.csv (206 kB)
MD5: 2c80513497e549ab449cf4e2acb514ac

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