Policy Analysis for the Tonle Sap Lake, Cambodia A Bayesian network model approach

Olli Varis; Marko Keskinen

Policy Analysis for the Tonle Sap Lake, Cambodia A Bayesian network model approach

Research output: Contribution to journal › Article › Scientific › peer-review

25 Citations (Scopus)

Original language	English
Pages (from-to)	417-431
Journal	International Journal of Water Resources Development
Volume	22
Issue number	3
Publication status	Published - 2006
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty
SDG 8 Decent Work and Economic Growth
SDG 10 Reduced Inequalities
SDG 15 Life on Land
SDG 17 Partnerships for the Goals

Keywords

development
environment
governance
lake
mekong
policy analysis
poverty
urbanisation
water

Cite this

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title = "Policy Analysis for the Tonle Sap Lake, Cambodia A Bayesian network model approach",

keywords = "development, environment, governance, lake, mekong, policy analysis, poverty, urbanisation, water, development, environment, governance, lake, mekong, policy analysis, poverty, urbanisation, water, development, environment, governance, lake, mekong, policy analysis, poverty, urbanisation, water",

author = "Olli Varis and Marko Keskinen",

year = "2006",

language = "English",

volume = "22",

pages = "417--431",

journal = "International Journal of Water Resources Development",

issn = "0790-0627",

publisher = "Taylor \& Francis",

number = "3",

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T1 - Policy Analysis for the Tonle Sap Lake, Cambodia A Bayesian network model approach

AU - Varis, Olli

AU - Keskinen, Marko

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KW - policy analysis

KW - poverty

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KW - governance

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KW - mekong

KW - policy analysis

KW - poverty

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KW - water

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KW - environment

KW - governance

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KW - mekong

KW - policy analysis

KW - poverty

KW - urbanisation

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M3 - Article

SN - 0790-0627

VL - 22

SP - 417

EP - 431

JO - International Journal of Water Resources Development

JF - International Journal of Water Resources Development

IS - 3

ER -