Assessing a pay-for-performance conservation program using an agent-based modeling framework
Lee, Seungyub; Heberling, Matthew T.; Nietch, Christopher; Safwat, Amr
2022

Files

Details

Title
Assessing a pay-for-performance conservation program using an agent-based modeling framework
Author(s)
Lee, Seungyub
Heberling, Matthew T.
Nietch, Christopher
Safwat, Amr
Subject(s)
Issue Date
2022-08
Publication Type
Conference Paper/ Presentation
DOI and Other Identifiers
10.22004/ag.econ.322301
Record Identifier
https://ageconsearch.umn.edu/record/322301
Language
English
Note
Presentation 23064
Record Appears in
Agricultural and Applied Economics Association (AAEA) > Agricultural and Applied Economics Association (AAEA) Conferences > 2022 Annual Meeting, July 31-August 2, Anaheim, California

PDF

Statistics

from
to
Export
Download Full History