MARKET POTENTIAL OF WEST AFRICAN AGGLOMERATIONS … · 2017-06-12 · of these agglomerations have...
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No. 55, June 2017 MAPS & FACTS This map is without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. We encourage the use of our maps. Please include the Club’s copyright, inform or contact us for specific requests: [email protected] www.oecd.org/swac/maps Club SAHEL AND WEST AFRICA Secretariat Club SAHEL AND WEST AFRICA Secretariat MARKET POTENTIAL OF WEST AFRICAN AGGLOMERATIONS O f the 1 939 urban agglomerations in the Africapolis database, 290 have a market potential - total population living within 40 km of the centre of an agglomeration - of more than 2 million people. Only nine of these agglomerations have a population of 2 million inhabitants or more, while 245 have less than 100 000 inhabitants. On the opposite end of this spectrum, only 70 agglomerations have a market potential of fewer than 100 000 people. These isolated agglomerations are mostly located in Chad and Mauritania. The market potential of a region is a good measure of spatial variations in economic density and can be interpreted to determine the economic attractiveness of a region. In denser regions, the intensity of interactions is greater and the spillover effects to surrounding regions are stronger. High market potential is also associated with greater availability and accessibility to services and facilities (hospitals, schools, universities, etc.) generally associated with larger cities. The reality is more complex and market size and economic attractiveness also depend on a variety of features such as availability of infrastructure, accessibility in terms of time and cost, the extent of economic and social networks, and the existence and quality of regulations and trade agreements. Nonetheless, it provides an additional illustration of urban development not captured by city size alone. Extract Prieto Curiel, R., P. Heinrigs and I. Heo (2017), “Cities and Spatial Interactions in West Africa: A Clustering Analysis of the Local Interactions of Urban Agglomerations”, West African Papers, No. 05 http://dx.doi.org/10.1787/57b30601-en www.oecd.org/swac/topics/africapolis
Transcript of MARKET POTENTIAL OF WEST AFRICAN AGGLOMERATIONS … · 2017-06-12 · of these agglomerations have...
n°32March 2016Maps & facts ClubSAHEL AND
WEST AFRICA
No 45, November 2016
www.oecd.org/swac/maps ClubSAHEL AND
WEST AFRICASecretariat
These maps are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. We encourage the use of our maps! Please include the Club’s copyright, inform or contact us for specific requests: [email protected]
Eight million pEoplE in northErn nigEria facing acutE food insEcurity
T he October 2016 analysis of the Cadre harmonisé1 expands its
coverage to include for the first time 16 out of 36 states, almost half of Nigeria. In these states, some eight million people are currently facing acute food insecurity (phases 3-5, October-December 2016). Due to the Boko Haram insurgency and massive population displacement, the three northeastern states, Adamawa, Borno and Yobe, have
1 West African tool to analyse and identify areas and amount of people at risk of food and nutrition insecurity.
reached extremely high levels of food insecurity (Maps & Facts no 44). While humanitarian access is improving, the situation remains particularly worrisome in the state of Borno, where nearly 60% of the population (3.3 million people) are still facing acute food insecurity (phases 3-5), including 55 000 people threatened by famine (phase 5). If no appro-priate measures are being taken, the current food and nutrition situation
is likely to get worse during the next lean season in June-August 2017. By then, the Cadre harmonisé projec-tions indicate that the number of severely food insecure people in the 16 analysed states could reach 8 to 10 million people. Analytical tools, data collection methods and training for local administrations need to be further developed in order to fine-tune and expand the analysis of the Cadre harmonisé to all parts of Nigeria.
Source: Cadre harmonisé, national analysis, October 2016. © Agrhymet/CILSS
FCT
Adamawa
BornoYobe
GombeBauchi
Taraba
Jigawa
Kano
Kaduna
KatsinaZamfara
Plateau
Niger
Kebbi
Sokoto
Oyo
Ogun
Lagos
OsunEkiti
Kwara
KogiBenue
Nassarawa
Cross River
Ebonyi
ImoAbia
OndoEdo
Delta
Bayelsa Rivers AkwaIbom
Anambra
Enugu
Lake Chad
FCT
Adamawa
BornoYobe
GombeBauchi
Taraba
Jigawa
Kano
Kaduna
Katsina
Zamfara
Plateau
Niger
Kebbi
Sokoto
Oyo
Ogun
Lagos
OsunEkiti
Kwara
KogiBenue
Nassarawa
Cross River
Ebonyi
ImoAbia
OndoEdo
Delta
Bayelsa Rivers AkwaIbom
Anambra
Enugu
Lake Chad
Phases of food insecurity
June-August 2017October-December 2016
Phase 1: Minimal Phase 2: Stressed Phase 3: Crisis Phase 4: Emergency Phase 5: Famine Not analysed
No. 55, June 2017
MAPS & FACTS
This map is without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. We encourage the use of our maps. Please include the Club’s copyright, inform or contact us for specifi c requests: [email protected]
www.oecd.org/swac/maps ClubSAHEL ANDWEST AFRICA
Secretariat
ClubSAHEL ANDWEST AFRICA
Secretariat
MARKET POTENTIAL OF WEST AFRICAN AGGLOMERATIONS
Of the 1 939 urban agglomerations in the Africapolis database, 290 have a market
potential - total population living within 40 km of the centre of an agglomeration - of more than 2 million people. Only nine of these agglomerations have a population of 2 million inhabitants or more, while 245 have less than 100 000 inhabitants. On the opposite end of this spectrum, only 70 agglomerations have a market potential of fewer than 100 000 people. These isolated agglomerations are mostly located in Chad and Mauritania. The market potential of a region is a good measure of spatial variations in economic density and can be interpreted to determine the economic attractiveness of a region. In denser regions, the
intensity of interactions is greater and the spillover effects to surrounding regions are stronger. High market potential is also associated with greater availability and accessibility to services and facilities (hospitals, schools, universities, etc.) generally associated with larger cities. The reality is more complex and market size and economic attractiveness also depend on a variety of features such as availability of infrastructure, accessibility in terms of time and cost, the extent of economic and social networks, and the existence and quality of regulations and trade agreements. Nonetheless, it provides an additional illustration of urban development not captured by city size alone.
Ext
ract
Prieto Curiel, R., P. Heinrigs and I. Heo (2017), “Cities and Spatial Interactions in West Africa: A Clustering Analysis of the Local Interactions of Urban Agglomerations”, West African Papers, No. 05http://dx.doi.org/10.1787/57b30601-enwww.oecd.org/swac/topics/africapolis
n°32March 2016Maps & facts ClubSAHEL AND
WEST AFRICA
No 45, November 2016
www.oecd.org/swac/maps ClubSAHEL AND
WEST AFRICASecretariat
These maps are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. We encourage the use of our maps! Please include the Club’s copyright, inform or contact us for specific requests: [email protected]
Eight million pEoplE in northErn nigEria facing acutE food insEcurity
T he October 2016 analysis of the Cadre harmonisé1 expands its
coverage to include for the first time 16 out of 36 states, almost half of Nigeria. In these states, some eight million people are currently facing acute food insecurity (phases 3-5, October-December 2016). Due to the Boko Haram insurgency and massive population displacement, the three northeastern states, Adamawa, Borno and Yobe, have
1 West African tool to analyse and identify areas and amount of people at risk of food and nutrition insecurity.
reached extremely high levels of food insecurity (Maps & Facts no 44). While humanitarian access is improving, the situation remains particularly worrisome in the state of Borno, where nearly 60% of the population (3.3 million people) are still facing acute food insecurity (phases 3-5), including 55 000 people threatened by famine (phase 5). If no appro-priate measures are being taken, the current food and nutrition situation
is likely to get worse during the next lean season in June-August 2017. By then, the Cadre harmonisé projec-tions indicate that the number of severely food insecure people in the 16 analysed states could reach 8 to 10 million people. Analytical tools, data collection methods and training for local administrations need to be further developed in order to fine-tune and expand the analysis of the Cadre harmonisé to all parts of Nigeria.
Source: Cadre harmonisé, national analysis, October 2016. © Agrhymet/CILSS
FCT
Adamawa
BornoYobe
GombeBauchi
Taraba
Jigawa
Kano
Kaduna
KatsinaZamfara
Plateau
Niger
Kebbi
Sokoto
Oyo
Ogun
Lagos
OsunEkiti
Kwara
KogiBenue
Nassarawa
Cross River
Ebonyi
ImoAbia
OndoEdo
Delta
Bayelsa Rivers AkwaIbom
Anambra
Enugu
Lake Chad
FCT
Adamawa
BornoYobe
GombeBauchi
Taraba
Jigawa
Kano
Kaduna
Katsina
Zamfara
Plateau
Niger
Kebbi
Sokoto
Oyo
Ogun
Lagos
OsunEkiti
Kwara
KogiBenue
Nassarawa
Cross River
Ebonyi
ImoAbia
OndoEdo
Delta
Bayelsa Rivers AkwaIbom
Anambra
Enugu
Lake Chad
Phases of food insecurity
June-August 2017October-December 2016
Phase 1: Minimal Phase 2: Stressed Phase 3: Crisis Phase 4: Emergency Phase 5: Famine Not analysed
Cette carte est sans préjudice du statut de tout territoire, de la souveraineté s’exerçant sur ce dernier, du tracé des frontières et limites internationales, et du nom de tout territoire, ville ou région. Nous encourageons l’utilisation de nos cartes. Veuillez nous informer et en faire mention du copyright du Club. Pour des demandes spécifi ques, contacter : [email protected]
No 55, juin 2017
MAPS & FACTS
www.oecd.org/fr/csao/cartes
Club DU SAHEL ET DEL'AFRIQUE DE L'OUEST
Club DU SAHEL ET DEL'AFRIQUE DE L'OUEST
Secrétariat du
POTENTIEL DE MARCHÉ DES AGGLOMÉRATIONS OUEST-AFRICAINES
Parmi les 1 939 agglomérations urbaines recensées dans la base Africapolis,
290 ont un potentiel de marché - une population vivant à moins de 40 km du centre d’une agglomération - de plus de 2 millions de personnes. Seules neuf de ces agglomérations ont une population de 2 millions d’habitants ou plus alors que 245 en ont moins de 100 000. De l’autre côté du spectre, 70 agglomérations ont un potentiel de marché de moins de 100 000 personnes. Ces agglomérations isolées se situent principalement en Mauritanie et au Tchad. Le potentiel de marché est une bonne mesure des variations spatiales de la densité économique et de l’attractivité économique d’une région. Dans les régions plus denses disposant d’un potentiel de marché plus élevé, l’intensité des interactions est plus
forte de même que les effets d’entraînement sur les régions voisines. Un potentiel de marché élevé est également associé à des services et des équipements (hôpitaux, écoles, universités, etc.) en plus grand nombre et plus accessibles que l’on trouve habituellement dans les grandes villes. La réalité est plus complexe ; la taille du marché et l’attractivité économique dépendent également des facteurs comme le nombre d’infrastructures, l’accessibilité en termes de temps et de coût, l’étendue des réseaux économiques et sociaux et l’existence et la mise en œuvre des réglementations et accords commerciaux. Le potentiel de marché donne néanmoins une mesure plus complète du développement urbain d’une agglomération que son seul nombre d’habitants.
Ext
rait
Prieto Curiel, R., P. Heinrigs et I. Heo (2017), « Cities and Spatial Interactions in West Africa: A Clustering Analysis of the Local Interactions of Urban Agglomerations », Notes ouest-africaines, No. 05. http://dx.doi.org/10.1787/57b30601-en
www.oecd.org/fr/csao/themes/africapolis
