Working Paper Series, School of Economics and Business, Norwegian University of Life Sciences
Forest reliance across poverty groups in Tanzania
() and Arild Angelsen
Abstract: An emerging body of knowledge has established that poorer
households in forest adjacent communities in developing countries are
generally more forest reliant (higher forest income share) while richer
households tend to extract more and generate higher absolute forest income.
These studies commonly categorize households based on observed income in
cross-section data, presenting a snap-shot reflecting both inter-household
and inter-annual income variation. In this paper we introduce a new
approach to categorize households based on a combination of the observed
one-year income and predicted income by an augmented asset approach.
Applying this approach on household data from Tanzania, we find forest
reliance to be high among structurally poor households (low observed income
and assets). The highest forest reliance is, however, found among the
stochastically non-poor households (high observed income and low assets),
and this group also has the highest absolute forest income.
Keywords: Forest dependence; poverty categories; asset poverty; cross-sectional data; (follow links to similar papers)
JEL-Codes: C53; I32; Q23; (follow links to similar papers)
28 pages, March 13, 2015
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