Transport Infrastructure and Welfare : An Application to Nigeria
Transport infrastructure is deemed to be central to development and consumes a large fraction of the development assistance envelope. Yet there is debate about the economic impact of road projects. This paper proposes an approach to assess the diff...
| Main Authors: | , , , , , |
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| Format: | Working Paper |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2015
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2015/05/24498118/transport-infrastructure-welfare-application-nigeria http://hdl.handle.net/10986/22004 |
| Summary: | Transport infrastructure is deemed to be
central to development and consumes a large fraction of the
development assistance envelope. Yet there is debate about
the economic impact of road projects. This paper proposes an
approach to assess the differential development impacts of
alternative road construction and prioritize various
proposals, using Nigeria as a case study. Recognizing that
there is no perfect measure of economic well-being, a
variety of outcome metrics are used, including crop revenue,
livestock revenue, non-agricultural income, the probability
of being multi-dimensionally poor, and local gross domestic
product for Nigeria. Although the measure of transport is
the most accurate possible, it is still endogenous because
of the nonrandom placement of road infrastructure. This
endogeneity is addressed using a seemingly novel
instrumental variable termed the natural path: the time it
would take to walk along the most logical route connecting
two points without taking into account other, bias-causing
economic benefits. Further, the analysis considers the
potential endogeneity from nonrandom placement of households
and markets through carefully chosen control variables. It
finds that reducing transportation costs in Nigeria will
increase crop revenue, non-agricultural income, the wealth
index, and local gross domestic product. Livestock sales
increase as well, although this finding is less robust. The
probability of being multi-dimensionally poor will decrease.
The results also cast light on income diversification and
structural changes that may arise. These findings are robust
to relaxing the exclusion restriction. The paper also
demonstrates how to prioritize alternative road programs by
comparing the expected development impacts of alternative
New Partnership for Africas Development projects. |
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