Farmer characteristics and decision-making: A model for bioenergy crop adoption
Abstract
We report the commercial development of biofuels and bioproducts depends on whether renewable biomass feedstock is available while not directly competing with the production of food. Farmers are one of the most important stakeholders in the biofuel supply chain and confront a range of uncertainties while entering the bioenergy market. Their decision-making process is extremely complex and rarely purely rational. Modeling farmer behavior requires considering a wide range of individual-level factors, socio-temporal dynamics, institutional settings, and their interactions. These characteristics make agent-based modeling a suitable framework for evaluating such systems. We developed a model to simulate farmer bioenergy crop adoption behavior across a 50-county study region in Nebraska, Kansas, and Colorado. The analysis considers adoption decisions for two bioenergy feedstocks, crop residues and energy crops. We examine the influence of individual and farm characteristics, market structure, social networks, and media influence on farmer adoption decisions. Our results indicate that different factors can have varied impacts on the speed of adoption for the crop residues and energy crops. Identifying levers that have the most impact on grower adoption can inform the design of interventions both from policy and private sector standpoints with important implications for the future the bioenergy industry.
- Authors:
-
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Publication Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office
- OSTI Identifier:
- 1907574
- Report Number(s):
- INL/JOU-20-58732
Journal ID: ISSN 0360-5442; TRN: US2311914
- Grant/Contract Number:
- AC07-05ID14517
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy
- Additional Journal Information:
- Journal Volume: 234; Journal Issue: -; Journal ID: ISSN 0360-5442
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; agent-based model; bioenergy; adoption; farmer characteristics
Citation Formats
Burli, Pralhad Hanumant, Nguyen, Ruby Thuy, Hartley, Damon S, Griffel, Mike, Vazhnik, Veronika, and Lin, Yingqian. Farmer characteristics and decision-making: A model for bioenergy crop adoption. United States: N. p., 2021.
Web. doi:10.1016/j.energy.2021.121235.
Burli, Pralhad Hanumant, Nguyen, Ruby Thuy, Hartley, Damon S, Griffel, Mike, Vazhnik, Veronika, & Lin, Yingqian. Farmer characteristics and decision-making: A model for bioenergy crop adoption. United States. https://doi.org/10.1016/j.energy.2021.121235
Burli, Pralhad Hanumant, Nguyen, Ruby Thuy, Hartley, Damon S, Griffel, Mike, Vazhnik, Veronika, and Lin, Yingqian. Tue .
"Farmer characteristics and decision-making: A model for bioenergy crop adoption". United States. https://doi.org/10.1016/j.energy.2021.121235. https://www.osti.gov/servlets/purl/1907574.
@article{osti_1907574,
title = {Farmer characteristics and decision-making: A model for bioenergy crop adoption},
author = {Burli, Pralhad Hanumant and Nguyen, Ruby Thuy and Hartley, Damon S and Griffel, Mike and Vazhnik, Veronika and Lin, Yingqian},
abstractNote = {We report the commercial development of biofuels and bioproducts depends on whether renewable biomass feedstock is available while not directly competing with the production of food. Farmers are one of the most important stakeholders in the biofuel supply chain and confront a range of uncertainties while entering the bioenergy market. Their decision-making process is extremely complex and rarely purely rational. Modeling farmer behavior requires considering a wide range of individual-level factors, socio-temporal dynamics, institutional settings, and their interactions. These characteristics make agent-based modeling a suitable framework for evaluating such systems. We developed a model to simulate farmer bioenergy crop adoption behavior across a 50-county study region in Nebraska, Kansas, and Colorado. The analysis considers adoption decisions for two bioenergy feedstocks, crop residues and energy crops. We examine the influence of individual and farm characteristics, market structure, social networks, and media influence on farmer adoption decisions. Our results indicate that different factors can have varied impacts on the speed of adoption for the crop residues and energy crops. Identifying levers that have the most impact on grower adoption can inform the design of interventions both from policy and private sector standpoints with important implications for the future the bioenergy industry.},
doi = {10.1016/j.energy.2021.121235},
journal = {Energy},
number = -,
volume = 234,
place = {United States},
year = {Tue Jun 15 00:00:00 EDT 2021},
month = {Tue Jun 15 00:00:00 EDT 2021}
}
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