CoChat
Sign Up
Cited by 22Bioenergy crop production and managementForest Biomass Utilization and ManagementBioeconomy and Sustainability Development

Inelastic and Fragmented Farm Supply Response for Second‐generation Bioenergy Feedstocks: Ex Ante Survey Evidence from Wisconsin

Mooney, Daniel F., Barham, Bradford L., Lian, Chang·2015·Applied Economic Perspectives and Policy
DOI 10.1093/aepp/ppu033
Open this paper in CoChat — free account

Abstract

Abstract Second‐generation bioenergy feedstocks stand poised to become a key component of the nation's agricultural and energy sectors, yet few studies have examined farm supply response using survey information. We use contingent valuation data from farmers in southwestern Wisconsin to develop ex ante supply estimates for two prospective feedstocks—corn stover and switchgrass—in terms of farmers' extensive and intensive acreage decisions. Supply response is found to be price inelastic and spatially fragmented, making widespread production unlikely in the near‐term. However, heterogeneity in farmer reservation prices suggests that agglomerations or “hot spots” of feedstock supply could arise at local or regional levels.

Integrity signals

Registry

Crossref · 10.1093/aepp/ppu033

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Bioenergy can have a double impact on marginal land, energy production and feed for livestock.

    “Bioenergy can have a double impact on marginal land, energy production and feed for livestock (Helliwell, 2018;Mooney et al., 2015;Muscat et al., 2022).”

    From Concepts of agricultural marginal lands and their utilisation: a review (2023) · cites this paper as Mooney et al., 2015

  • Bioenergy related feedstocks (e.g. corn stover, switchgrass) could be valuable supply for farms to feed livestock, so bioenergy has a double effect in rural development in marginal lands.

    “Bioenergy related feedstocks (e.g. corn stover, switchgrass) could be valuable supply for farms to feed livestock, so the bioenergy has a double effect in rural development in marginal lands (Helliwell, 2018;Mooney et al., 2015;Muscat et al., 2022).”

    From Concepts of agricultural marginal lands and their utilisation: a review (2023) · cites this paper as Mooney et al., 2015

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Mooney, D. F., Barham, B. L., & Lian, C.
Affiliations
University of Wisconsin–Madison (US)
Corresponding author
Mooney, Daniel F.
ORCID
Venue
Applied Economic Perspectives and Policy
Publisher
Wiley
Published
2014-11-03
Volume
37
Issue
2
Pages
287-310
ISSN
  • 2040-5790 (ISSN-L)
  • 2040-5804
DOI
10.1093/aepp/ppu033
OpenAlex
W2096309948
Cited by
22
References
39
Citations by year
2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 6 · 2017: 7 · 2016: 2 · 2015: 1
FWCI
6.64
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Applied Economic Perspectives and Policy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
U.S. Department of Energy
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Physical Sciences › Engineering › Mechanics of Materials › Forest Biomass Utilization and Management
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Bioeconomy and Sustainability Development
Keywords
corn stover, switchgrass, price elasticity, spatial fragmentation, bioenergy, southwestern Wisconsin

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review