dedup_wf_001--a77dc0582eeee0f4c0459fea80b5311e

About 73% of Bhutan’s land area is currently under forest coverage, and the forest occupies a potentially important position in promoting rural livelihood and thereby alleviating the poverty of people living in and around the forest. This study uses data from the Bhutan Living Standard Survey to examine the relative contribution of wood and non-wood-based forest products to rural household income and poverty alleviation. It uses a propensity score matching approach to correct for potential sample selection bias that may arise due to systematic differences between households who exploit forest resources and those who do not. Our results show that rural households with forestry related activities have a higher income and are less prone to poverty than those who do not exploit forest resources. However, the increase in income due to forestry activities is in general limited, although this increase may be substantial for the poorest households, representing up to 25% of their income. Our results also confirm the global trend that wood-based forest products are more economically rewarding than non-wood forest products. We conclude with some policy implications underlining the potential of the development of forest activities for the betterment of the rural poor in Bhutan.

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PID https://www.doi.org/10.6084/m9.figshare.3203521
PID https://www.doi.org/10.6084/m9.figshare.3203521.v1
URL http://dx.doi.org/10.6084/m9.figshare.3203521
URL https://dx.doi.org/10.6084/M9.FIGSHARE.3203521
URL https://figshare.com/articles/Do_forest_resources_help_increase_rural_household_income_and_alleviate_rural_poverty_Empirical_evidence_from_Bhutan/3203521
URL http://dx.doi.org/10.6084/m9.figshare.3203521.v1
URL https://dx.doi.org/10.6084/m9.figshare.3203521.v1
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Access Right Open Access
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Author Dil Bahadur Rahut
Author Bhagirath Behera
Author Akhter Ali
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Collected From figshare; Datacite
Hosted By figshare
Publication Date 2016-04-27
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Language UNKNOWN
Resource Type Dataset
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::a77dc0582eeee0f4c0459fea80b5311e
Author jsonws_user
Last Updated 16 December 2020, 18:42 (CET)
Created 16 December 2020, 18:42 (CET)