Modeling spatial dependence and economic hotspots in landowners’ willingness to supply bioenergy crops in the northeastern United States
Abstract
This paper investigates the spatial heterogeneity of landowners’ willingness to supply three bioenergy crops: switchgrass, Miscanthus, and willow, in the northeastern United States. Spatial heterogeneity might arise for several reasons. For example, landowners closer to bioenergy processing plants might be more likely to be willing to supply bioenergy crops, and landowners who are more willing to supply bioenergy crops may be spatially clustered because they share similar land attributes, demographics, experiences, and/or values. Using high–resolution GIS data related to the location of pellet plants utilizing bioenergy crops and survey data related to landowners’ characteristics including spatial location, we estimate a spatial probit model to explain the variation in individual–specific reservation prices (RPs)—the feedstock price at which landowners become willing to supply a bioenergy crop. We find that respondents’ RP is lower the closer they live to their nearest pellet plant and spatial dependency is only present for switchgrass supply. We also identify three economic hotspots (areas with high potential supply and low RPs) for each bioenergy crop. We believe that bioenergy supply chains could be developed around these hotspots.
- Authors:
-
- Athenium Analytics, Washington, D.C. (United States)
- Pennsylvania State Univ., University Park, PA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1557529
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Global Change Biology. Bioenergy
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 9; Journal ID: ISSN 1757-1693
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; bioenergy crops; economic hotspot; POLYSYS; renewable energy; reservation price; spatial dependence
Citation Formats
Jiang, Wei, Zipp, Katherine Y., Langholtz, Matthew H., and Jacobson, Michael G. Modeling spatial dependence and economic hotspots in landowners’ willingness to supply bioenergy crops in the northeastern United States. United States: N. p., 2019.
Web. doi:10.1111/gcbb.12617.
Jiang, Wei, Zipp, Katherine Y., Langholtz, Matthew H., & Jacobson, Michael G. Modeling spatial dependence and economic hotspots in landowners’ willingness to supply bioenergy crops in the northeastern United States. United States. https://doi.org/10.1111/gcbb.12617
Jiang, Wei, Zipp, Katherine Y., Langholtz, Matthew H., and Jacobson, Michael G. Sat .
"Modeling spatial dependence and economic hotspots in landowners’ willingness to supply bioenergy crops in the northeastern United States". United States. https://doi.org/10.1111/gcbb.12617. https://www.osti.gov/servlets/purl/1557529.
@article{osti_1557529,
title = {Modeling spatial dependence and economic hotspots in landowners’ willingness to supply bioenergy crops in the northeastern United States},
author = {Jiang, Wei and Zipp, Katherine Y. and Langholtz, Matthew H. and Jacobson, Michael G.},
abstractNote = {This paper investigates the spatial heterogeneity of landowners’ willingness to supply three bioenergy crops: switchgrass, Miscanthus, and willow, in the northeastern United States. Spatial heterogeneity might arise for several reasons. For example, landowners closer to bioenergy processing plants might be more likely to be willing to supply bioenergy crops, and landowners who are more willing to supply bioenergy crops may be spatially clustered because they share similar land attributes, demographics, experiences, and/or values. Using high–resolution GIS data related to the location of pellet plants utilizing bioenergy crops and survey data related to landowners’ characteristics including spatial location, we estimate a spatial probit model to explain the variation in individual–specific reservation prices (RPs)—the feedstock price at which landowners become willing to supply a bioenergy crop. We find that respondents’ RP is lower the closer they live to their nearest pellet plant and spatial dependency is only present for switchgrass supply. We also identify three economic hotspots (areas with high potential supply and low RPs) for each bioenergy crop. We believe that bioenergy supply chains could be developed around these hotspots.},
doi = {10.1111/gcbb.12617},
journal = {Global Change Biology. Bioenergy},
number = 9,
volume = 11,
place = {United States},
year = {Sat Mar 30 00:00:00 EDT 2019},
month = {Sat Mar 30 00:00:00 EDT 2019}
}
Web of Science
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