Transition support system approach for urban food security in the future

The case of Ghana

Research output: Book/ReportReportProfessional

Abstract

The population of the world is becoming increasingly urbanised due to a combination of natural population growth and rural–urban migration. This will pose major challenges to feed the future population and meet the Sustainable Development Goals. Meeting these complex challenges requires an integrated approach. The transition support system (TSS) approach integrates decision support tools and stakeholder analyses for these complex issues. This study has focused attention on the application of decision support tools of the TSS approach that visualises the urgency of future food security as a proof of concept. To this end, the future food security of the city of Accra, the capital of Ghana, has been taken as a case study. The use of Global-Detector and its maps illustrated a quick way to downscale data and projections from MAGNET (Modular Applied GeNeral Equilibrium Tool) and perform spatial analyses without the burden of acquiring additional data. Downscaling of macroeconomic results of future projections provides insights into future urban food security. Giventhese insights, stakeholders might urge policy or interventions. The results of the exercise are largely determined by the availability of data and maps; in particular, the more detailed information is available, the more accurate the results of our exercise will be.
Original languageEnglish
Place of PublicationWageningen
PublisherWageningen Economic Research
Number of pages43
ISBN (Electronic)9789463439602
DOIs
Publication statusPublished - 2019

Publication series

NameReport / Wageningen Economic Research
No.2019-057a

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food security
stakeholder
downscaling
macroeconomics
integrated approach
population growth
sustainable development
decision

Cite this

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title = "Transition support system approach for urban food security in the future: The case of Ghana",
abstract = "The population of the world is becoming increasingly urbanised due to a combination of natural population growth and rural–urban migration. This will pose major challenges to feed the future population and meet the Sustainable Development Goals. Meeting these complex challenges requires an integrated approach. The transition support system (TSS) approach integrates decision support tools and stakeholder analyses for these complex issues. This study has focused attention on the application of decision support tools of the TSS approach that visualises the urgency of future food security as a proof of concept. To this end, the future food security of the city of Accra, the capital of Ghana, has been taken as a case study. The use of Global-Detector and its maps illustrated a quick way to downscale data and projections from MAGNET (Modular Applied GeNeral Equilibrium Tool) and perform spatial analyses without the burden of acquiring additional data. Downscaling of macroeconomic results of future projections provides insights into future urban food security. Giventhese insights, stakeholders might urge policy or interventions. The results of the exercise are largely determined by the availability of data and maps; in particular, the more detailed information is available, the more accurate the results of our exercise will be.",
author = "Marijke Dijkshoorn-Dekker and Vincent Linderhof and Vasco Pinto and Wil Hennen and Diti Oudendag and Marijke Kuiper and Lindsay Shutes",
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Transition support system approach for urban food security in the future : The case of Ghana. / Dijkshoorn-Dekker, Marijke; Linderhof, Vincent; Pinto, Vasco; Hennen, Wil; Oudendag, Diti; Kuiper, Marijke; Shutes, Lindsay.

Wageningen : Wageningen Economic Research, 2019. 43 p. (Report / Wageningen Economic Research; No. 2019-057a).

Research output: Book/ReportReportProfessional

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Dijkshoorn-Dekker M, Linderhof V, Pinto V, Hennen W, Oudendag D, Kuiper M et al. Transition support system approach for urban food security in the future: The case of Ghana. Wageningen: Wageningen Economic Research, 2019. 43 p. (Report / Wageningen Economic Research; 2019-057a). https://doi.org/10.18174/476203