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003			ZW-GwMSU
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008			240428b |||||||| |||| 00| 0 eng d
022			_a21606544
040			_aMSU _bEnglish _cMSU _erda
050	0	0	_aHC79 JOU
100	1		_aJiang, Yong _eauthor
245	1	0	_aEstimating regional agricultural supply of greenhouse gas abatements by land-based biological carbon sequestration: _ba Bayesian sampling-based simulation approach/ _ccreated by Yong Jiang and Won W. Koo
264	1		_aAbingdon: _bTaylor and Francis, _c2013.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_aJournal of environmental economics and policy _vVolume 2, number 3
520	3		_aIn this study, we develop a sampling-based simulation approach for estimating regional agricultural supply of greenhouse gas (GHG) emission abatements by land-based biological carbon sequestration. We explicitly consider producer behaviour in a market setting that would pay for carbon sequestration depending on current land use and management, target practice to be adopted and spatial location. We construct a behaviour model in the benefit-cost framework to characterise producer decision in relation to preferences and production attributes. We combine the Markov Chain Monte Carlo technique and choice modelling in a Bayesian setting to develop an empirical procedure that may be calibrated by observed producer behaviour and agricultural census data and that can simulate regional agricultural carbon sequestration by sampling individual preferences and production attributes. An empirical application of our approach depicts potential agricultural supply of GHG abatements by carbon sequestration in a production region in the USA. This approach is flexible to be applied to different regions with minimum information requirement while accounting for spatial heterogeneity of both preferences and production.
700	1		_aKoo, Wŏn-hoe _eco author
856			_uhttps://doi.org/10.1080/21606544.2013.806041
942			_2lcc _cJA
999			_c165133 _d165133