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Economic development and water resource demands in the Lower Mekong Basin
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Economic growth and income inequality
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United Nations Development Programme publishes annually its Human Development Report, which includes several international comparisons using an array of human development-oriented indices. For more information, see http://hdr.undp.org.
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When ranking the peninsular Southeast Asian countries with respect to almost any of the poverty indicators, the result is more or less the same: Singapore comes by far first with least poverty incidence, Malaysia and Thailand follow, and Vietnam comes next, well ahead of Myanmar, Lao PDR, and Cambodia. The last ones are among the least-developed Asian countries in these comparisons. It is clear that the limits of such analyses are tested when tailoring poverty reduction policies at national or local levels
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When ranking the peninsular Southeast Asian countries with respect to almost any of the poverty indicators, the result is more or less the same: Singapore comes by far first (with least poverty incidence), Malaysia and Thailand follow, and Vietnam comes next, well ahead of Myanmar, Lao PDR, and Cambodia. The last ones are among the least-developed Asian countries in these comparisons. It is clear that the limits of such analyses are tested when tailoring poverty reduction policies at national or local levels.
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Policy analysis for the Tonle Sap Lake, Cambodia - A Bayesian network model approach
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The Bayesian network methodology is based on the systematic analysis of causal interconnections in complex environmental-social-economic systems. The objective is to assess risks to various components of the environmental and social system under concern as consequences of different policy strategies. For more information, see 16 and 17
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The Bayesian network methodology is based on the systematic analysis of causal interconnections in complex environmental-social-economic systems. The objective is to assess risks to various components of the environmental and social system under concern as consequences of different policy strategies. For more information, see 16 and 17.
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Varis, O.1
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48249124117
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The plot shows the sensitivity of the goals to changes in sector policies. The further the line is away from the zero line (the polygon denoted with 0.0%), the more impact the policy has on the respective development goal. The impact is negative if the line goes inside the polygon, otherwise it is positive.
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The plot shows the sensitivity of the goals to changes in sector policies. The further the line is away from the zero line (the polygon denoted with 0.0%), the more impact the policy has on the respective development goal. The impact is negative if the line goes inside the polygon, otherwise it is positive.
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19
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The author deeply thanks Marko Keskinen, Mira Käkönen, and Matti Kummu, as well as the other members of the MRCS/WUP-FIN team, particularly Juha Sarkkula, Jorma Koponen, Markku Virtanen, Seppo Hellsten, Ulla Heinonen, and the Cambodian and Vietnamese co-workers and trainees. Also, the fluent cooperation with the Mekong River Commission and Finnish Environment Institute is appreciated. The Water Resources Laboratory staff from Helsinki University of Technology, and particularly Pertti Vakkilainen, is equally acknowledged. This work has received funding from the Academy of Finland Project 211010.
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The author deeply thanks Marko Keskinen, Mira Käkönen, and Matti Kummu, as well as the other members of the MRCS/WUP-FIN team, particularly Juha Sarkkula, Jorma Koponen, Markku Virtanen, Seppo Hellsten, Ulla Heinonen, and the Cambodian and Vietnamese co-workers and trainees. Also, the fluent cooperation with the Mekong River Commission and Finnish Environment Institute is appreciated. The Water Resources Laboratory staff from Helsinki University of Technology, and particularly Pertti Vakkilainen, is equally acknowledged. This work has received funding from the Academy of Finland Project 211010.
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