Quantifying the Impact of Future Scenarios for Climate-Smart Agriculture, Fish & Food in Bangladesh

S. Mohammadian Moghayer, T.J. Achterbosch, A.A. Tabeau, Maliha Muzammil, Daniel Mason-D'Croz, Joost Vervoort

Research output: Contribution to conferencePosterProfessional

Abstract

In the development of policies for low-carbon transitions, conflicts with existing policies based on sector-specific decision tools can ultimately lead to competing demand for natural resources. MAGNET with a linked modelling framework is used to tackle this problem by providing a quantitative assessment of the wider implications of such policies in a systemic approach of linkages between agri-food sector and the rest of the economy In Bangladesh. It also supports a detailed impact assessment of policies that initially aimed for other sectors.
LanguageEnglish
Number of pages1
Publication statusPublished - 1 Apr 2018

Fingerprint

agriculture
food
climate
fish
natural resource
policy
Fish
Bangladesh
Food
Agriculture
Climate
Scenarios
carbon
modeling
demand
impact assessment
conflict
decision
economy
Natural resources

Keywords

  • Computable general equilibrium
  • sustainable development goals
  • Climate policy
  • agri-food systems

Cite this

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title = "Quantifying the Impact of Future Scenarios for Climate-Smart Agriculture, Fish & Food in Bangladesh",
abstract = "In the development of policies for low-carbon transitions, conflicts with existing policies based on sector-specific decision tools can ultimately lead to competing demand for natural resources. MAGNET with a linked modelling framework is used to tackle this problem by providing a quantitative assessment of the wider implications of such policies in a systemic approach of linkages between agri-food sector and the rest of the economy In Bangladesh. It also supports a detailed impact assessment of policies that initially aimed for other sectors.",
keywords = "Computable general equilibrium, sustainable development goals, Climate policy, agri-food systems",
author = "{Mohammadian Moghayer}, S. and T.J. Achterbosch and A.A. Tabeau and Maliha Muzammil and Daniel Mason-D'Croz and Joost Vervoort",
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Quantifying the Impact of Future Scenarios for Climate-Smart Agriculture, Fish & Food in Bangladesh. / Mohammadian Moghayer, S.; Achterbosch, T.J.; Tabeau, A.A.; Muzammil, Maliha; Mason-D'Croz, Daniel; Vervoort, Joost.

2018.

Research output: Contribution to conferencePosterProfessional

TY - CONF

T1 - Quantifying the Impact of Future Scenarios for Climate-Smart Agriculture, Fish & Food in Bangladesh

AU - Mohammadian Moghayer, S.

AU - Achterbosch, T.J.

AU - Tabeau, A.A.

AU - Muzammil, Maliha

AU - Mason-D'Croz, Daniel

AU - Vervoort, Joost

PY - 2018/4/1

Y1 - 2018/4/1

N2 - In the development of policies for low-carbon transitions, conflicts with existing policies based on sector-specific decision tools can ultimately lead to competing demand for natural resources. MAGNET with a linked modelling framework is used to tackle this problem by providing a quantitative assessment of the wider implications of such policies in a systemic approach of linkages between agri-food sector and the rest of the economy In Bangladesh. It also supports a detailed impact assessment of policies that initially aimed for other sectors.

AB - In the development of policies for low-carbon transitions, conflicts with existing policies based on sector-specific decision tools can ultimately lead to competing demand for natural resources. MAGNET with a linked modelling framework is used to tackle this problem by providing a quantitative assessment of the wider implications of such policies in a systemic approach of linkages between agri-food sector and the rest of the economy In Bangladesh. It also supports a detailed impact assessment of policies that initially aimed for other sectors.

KW - Computable general equilibrium

KW - sustainable development goals

KW - Climate policy

KW - agri-food systems

M3 - Poster

ER -