On measuring indebtedness of African countries: a stochastic frontier debt production function

At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented. However, a thorough solution is hampered by the existence of multiple ways of scaling debt. This paper provides a framework for...

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Autor principal: Nkamleu, G.B.
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2006
Materias:
Acceso en línea:https://hdl.handle.net/10568/91417
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author Nkamleu, G.B.
author_browse Nkamleu, G.B.
author_facet Nkamleu, G.B.
author_sort Nkamleu, G.B.
collection Repository of Agricultural Research Outputs (CGSpace)
description At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented. However, a thorough solution is hampered by the existence of multiple ways of scaling debt. This paper provides a framework for comprehensively measuring indebtedness and gives therefore a basis for setting objective principles for debt reduction measures. The paper uses a stochastic frontier production function approach and the technical efficiency computation procedure to develop an indebtedness index for 46 African countries. The results indicate an indebtedness index across countries ranging from a minimum of 3.6 (South-Africa) to a maximum of 92 (Zambia), with an average of 69. Countries, which have experienced extended civil wars, are generally less indebted, while countries with more corrupt governments have generally contracted more multilateral debt. The paper ends by raising a number of implications for a better approach of debt management in Africa.
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spelling CGSpace914172023-02-15T07:28:32Z On measuring indebtedness of African countries: a stochastic frontier debt production function Nkamleu, G.B. debt economic growth indebtedness consumption world bank stochastic frontier At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented. However, a thorough solution is hampered by the existence of multiple ways of scaling debt. This paper provides a framework for comprehensively measuring indebtedness and gives therefore a basis for setting objective principles for debt reduction measures. The paper uses a stochastic frontier production function approach and the technical efficiency computation procedure to develop an indebtedness index for 46 African countries. The results indicate an indebtedness index across countries ranging from a minimum of 3.6 (South-Africa) to a maximum of 92 (Zambia), with an average of 69. Countries, which have experienced extended civil wars, are generally less indebted, while countries with more corrupt governments have generally contracted more multilateral debt. The paper ends by raising a number of implications for a better approach of debt management in Africa. 2006 2018-03-07T11:25:52Z 2018-03-07T11:25:52Z Report https://hdl.handle.net/10568/91417 en Limited Access Nkamleu, G.B. (2006). On measuring indebtedness of African countries: a stochastic frontier debt production function (p. 21). Tunis Belvedere: African Development Bank.
spellingShingle debt
economic growth
indebtedness
consumption
world bank
stochastic frontier
Nkamleu, G.B.
On measuring indebtedness of African countries: a stochastic frontier debt production function
title On measuring indebtedness of African countries: a stochastic frontier debt production function
title_full On measuring indebtedness of African countries: a stochastic frontier debt production function
title_fullStr On measuring indebtedness of African countries: a stochastic frontier debt production function
title_full_unstemmed On measuring indebtedness of African countries: a stochastic frontier debt production function
title_short On measuring indebtedness of African countries: a stochastic frontier debt production function
title_sort on measuring indebtedness of african countries a stochastic frontier debt production function
topic debt
economic growth
indebtedness
consumption
world bank
stochastic frontier
url https://hdl.handle.net/10568/91417
work_keys_str_mv AT nkamleugb onmeasuringindebtednessofafricancountriesastochasticfrontierdebtproductionfunction