Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA

Jose R. Soto, Damian C. Adams, Francisco J. Escobedo

Resultado de la investigación: Contribución a RevistaArtículo

9 Citas (Scopus)

Resumen

Little is known about institutional preferences and barriers for non-industrial private forest landowner
participation in carbon (C) offset programs — factors that influence participation in such programs. To
address this, we used Florida (U.S.) as a case study, and identified barriers to forest landowner participation
in a hypothetical carbon-offset program and landowner willingness-to-accept compensation for enrollment.
Preferences were elicited via survey methods and a recent innovation to best–worst scaling (BWS), called
best–worst choice (BWC), which retains the analytical features of scaling while enabling measurements in a traditional
discrete-choice framework. Results indicate that NIPF landowners are more influenced by revenue than
early withdrawal penalty or contract duration, but will exchange revenue for other contract features. We estimate
that programs offering $20 or $30 per-acre-per-year have significantly stronger impacts on enrollment
than $5 or $10. The least preferred feature was a 100-year commitment. Overall our BWC approach is novel in
that it circumvents BWS' limitation by providing an ability to estimate actual willingness-to-pay/accept. The
U.S. has a new policy to cut 32% of 2005 power plant carbon emissions by 2030 and allow forest C offsets.
Thus, results can also be used to inform state-level policies that compensate landowners for capturing C
emissions
Idioma originalUndefined/Unknown
Páginas (desde-hasta)35-42
Número de páginas8
PublicaciónForest Policy and Economics
Volumen63
EstadoPublished - 2016

Citar esto

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title = "Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA",
abstract = "Little is known about institutional preferences and barriers for non-industrial private forest landownerparticipation in carbon (C) offset programs — factors that influence participation in such programs. Toaddress this, we used Florida (U.S.) as a case study, and identified barriers to forest landowner participationin a hypothetical carbon-offset program and landowner willingness-to-accept compensation for enrollment.Preferences were elicited via survey methods and a recent innovation to best–worst scaling (BWS), calledbest–worst choice (BWC), which retains the analytical features of scaling while enabling measurements in a traditionaldiscrete-choice framework. Results indicate that NIPF landowners are more influenced by revenue thanearly withdrawal penalty or contract duration, but will exchange revenue for other contract features. We estimatethat programs offering $20 or $30 per-acre-per-year have significantly stronger impacts on enrollmentthan $5 or $10. The least preferred feature was a 100-year commitment. Overall our BWC approach is novel inthat it circumvents BWS' limitation by providing an ability to estimate actual willingness-to-pay/accept. TheU.S. has a new policy to cut 32{\%} of 2005 power plant carbon emissions by 2030 and allow forest C offsets.Thus, results can also be used to inform state-level policies that compensate landowners for capturing Cemissions",
author = "Soto, {Jose R.} and Adams, {Damian C.} and Escobedo, {Francisco J.}",
year = "2016",
language = "Indefinido/desconocido",
volume = "63",
pages = "35--42",
journal = "Forest Policy and Economics",
issn = "1389-9341",
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Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA. / Soto, Jose R.; Adams, Damian C.; Escobedo, Francisco J.

En: Forest Policy and Economics, Vol. 63, 2016, p. 35-42.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best-worst choice modeling in Florida USA

AU - Soto, Jose R.

AU - Adams, Damian C.

AU - Escobedo, Francisco J.

PY - 2016

Y1 - 2016

N2 - Little is known about institutional preferences and barriers for non-industrial private forest landownerparticipation in carbon (C) offset programs — factors that influence participation in such programs. Toaddress this, we used Florida (U.S.) as a case study, and identified barriers to forest landowner participationin a hypothetical carbon-offset program and landowner willingness-to-accept compensation for enrollment.Preferences were elicited via survey methods and a recent innovation to best–worst scaling (BWS), calledbest–worst choice (BWC), which retains the analytical features of scaling while enabling measurements in a traditionaldiscrete-choice framework. Results indicate that NIPF landowners are more influenced by revenue thanearly withdrawal penalty or contract duration, but will exchange revenue for other contract features. We estimatethat programs offering $20 or $30 per-acre-per-year have significantly stronger impacts on enrollmentthan $5 or $10. The least preferred feature was a 100-year commitment. Overall our BWC approach is novel inthat it circumvents BWS' limitation by providing an ability to estimate actual willingness-to-pay/accept. TheU.S. has a new policy to cut 32% of 2005 power plant carbon emissions by 2030 and allow forest C offsets.Thus, results can also be used to inform state-level policies that compensate landowners for capturing Cemissions

AB - Little is known about institutional preferences and barriers for non-industrial private forest landownerparticipation in carbon (C) offset programs — factors that influence participation in such programs. Toaddress this, we used Florida (U.S.) as a case study, and identified barriers to forest landowner participationin a hypothetical carbon-offset program and landowner willingness-to-accept compensation for enrollment.Preferences were elicited via survey methods and a recent innovation to best–worst scaling (BWS), calledbest–worst choice (BWC), which retains the analytical features of scaling while enabling measurements in a traditionaldiscrete-choice framework. Results indicate that NIPF landowners are more influenced by revenue thanearly withdrawal penalty or contract duration, but will exchange revenue for other contract features. We estimatethat programs offering $20 or $30 per-acre-per-year have significantly stronger impacts on enrollmentthan $5 or $10. The least preferred feature was a 100-year commitment. Overall our BWC approach is novel inthat it circumvents BWS' limitation by providing an ability to estimate actual willingness-to-pay/accept. TheU.S. has a new policy to cut 32% of 2005 power plant carbon emissions by 2030 and allow forest C offsets.Thus, results can also be used to inform state-level policies that compensate landowners for capturing Cemissions

M3 - Artículo

VL - 63

SP - 35

EP - 42

JO - Forest Policy and Economics

JF - Forest Policy and Economics

SN - 1389-9341

ER -