Sustainable Land-Use Pathway Ranking and Selection
The desire for refining status quo cost–benefit protocols to fully encompass econometric model uncertainty motivates the search for improved technology. Availability of unique Ethiopian highlands milk-market livestock data provides an ideal laboratory for investigation of alternative land-use pathwa...
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doaj-896da34d513946e0ac496644680782b22020-11-25T02:50:30ZengMDPI AGSustainability2071-10502020-09-01127881788110.3390/su12197881Sustainable Land-Use Pathway Ranking and SelectionGarth John Holloway0Department of Applied Economics and Marketing, School of Agriculture, Policy and Development, University of Reading, Whitenights, P.O. Box 217, Reading Berkshire RG6 6AH, UKThe desire for refining status quo cost–benefit protocols to fully encompass econometric model uncertainty motivates the search for improved technology. Availability of unique Ethiopian highlands milk-market livestock data provides an ideal laboratory for investigation of alternative land-use pathway designs. In these contexts, we present novel methodology for ranking and selecting sustainable ‘land-use pathways,’ arguing that the methodology is central to sustainable-land-use-policy prescriptions, providing essential innovation to assessments hitherto devoid of probabilistic foundation. Demonstrating routine implementation of Markov-Chain, Monte-Carlo procedure, ranking-and-selection enactment is widely disseminable and potentially valuable to land-use policy prescription. Application to a sample of Ethiopian-highlands, land-dependent households highlights empirical gains compared to conventional methodology. Applications and extensions that profit future land-use sustainability within the Ethiopian highlands and, also, more generally, are discussed.https://www.mdpi.com/2071-1050/12/19/7881sustainable-land-use pathway ranking-and-selectionMarkov-chain Monte-Carlo methodologyEthiopian-highlands-land-dependent case study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Garth John Holloway |
spellingShingle |
Garth John Holloway Sustainable Land-Use Pathway Ranking and Selection Sustainability sustainable-land-use pathway ranking-and-selection Markov-chain Monte-Carlo methodology Ethiopian-highlands-land-dependent case study |
author_facet |
Garth John Holloway |
author_sort |
Garth John Holloway |
title |
Sustainable Land-Use Pathway Ranking and Selection |
title_short |
Sustainable Land-Use Pathway Ranking and Selection |
title_full |
Sustainable Land-Use Pathway Ranking and Selection |
title_fullStr |
Sustainable Land-Use Pathway Ranking and Selection |
title_full_unstemmed |
Sustainable Land-Use Pathway Ranking and Selection |
title_sort |
sustainable land-use pathway ranking and selection |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-09-01 |
description |
The desire for refining status quo cost–benefit protocols to fully encompass econometric model uncertainty motivates the search for improved technology. Availability of unique Ethiopian highlands milk-market livestock data provides an ideal laboratory for investigation of alternative land-use pathway designs. In these contexts, we present novel methodology for ranking and selecting sustainable ‘land-use pathways,’ arguing that the methodology is central to sustainable-land-use-policy prescriptions, providing essential innovation to assessments hitherto devoid of probabilistic foundation. Demonstrating routine implementation of Markov-Chain, Monte-Carlo procedure, ranking-and-selection enactment is widely disseminable and potentially valuable to land-use policy prescription. Application to a sample of Ethiopian-highlands, land-dependent households highlights empirical gains compared to conventional methodology. Applications and extensions that profit future land-use sustainability within the Ethiopian highlands and, also, more generally, are discussed. |
topic |
sustainable-land-use pathway ranking-and-selection Markov-chain Monte-Carlo methodology Ethiopian-highlands-land-dependent case study |
url |
https://www.mdpi.com/2071-1050/12/19/7881 |
work_keys_str_mv |
AT garthjohnholloway sustainablelandusepathwayrankingandselection |
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