This paper highlights the spatial linkages of forest quality with poverty incidence and poverty density in Vietnam. Most of the Vietnamese poor live in densely populated river deltas and cities while remote upland areas have the highest poverty incidences, gaps, and severities. Forests of high local and global value are located in areas where relatively few poor people live, but where the incidence, gap, and severity of poverty are strongest, and where the livelihood strategies are based on agricultural and forest activities. Analysis was conducted combining country-wide spatial data on commune-level poverty estimates and the geographic distribution of forest quality. The results suggest the usefulness of targeting investments in remote are...
We test an emerging theory of the forest transition using the case of Vietnam. In the early 1990s, d...
This study uses a relatively new method called “small area estimation” to estimate various measures ...
This study uses a relatively new method called “small area estimation” to estimate various measures ...
In Vietnam, as in many developing countries, there is an emerging interest in knowing to what extent...
The relationship between poverty and forest in developing countries like Vietnam is important becaus...
In Vietnam, as in many developing countries, there is an emerging interest in knowing to what extent...
This research aims to explore the effects of forest land allocation policy (FLA) on livelihood activ...
Vietnam's forests have experienced a notable transformation over the past 20 years from net deforest...
A major challenge in decentralized forest governance in Vietnam is developing a mechanism that woul...
ABSTRACT: The first Sustainable Development Goals (SDGs) of The United Nations aims to “end poverty ...
This paper investigates the effects of forestland on household income, poverty and inequality among...
Information on the spatial distribution of poverty is particularly useful in designing geographicall...
This paper combines household survey and census data to construct a provincial poverty map of Vietna...
2018 Summer.Includes bibliographical references.Forests provide numerous benefits to human well-bein...
In 1995, the forest coverage area in Vietnam was 27.2%, but by 2019, it reached to 41.89%. The Gover...
We test an emerging theory of the forest transition using the case of Vietnam. In the early 1990s, d...
This study uses a relatively new method called “small area estimation” to estimate various measures ...
This study uses a relatively new method called “small area estimation” to estimate various measures ...
In Vietnam, as in many developing countries, there is an emerging interest in knowing to what extent...
The relationship between poverty and forest in developing countries like Vietnam is important becaus...
In Vietnam, as in many developing countries, there is an emerging interest in knowing to what extent...
This research aims to explore the effects of forest land allocation policy (FLA) on livelihood activ...
Vietnam's forests have experienced a notable transformation over the past 20 years from net deforest...
A major challenge in decentralized forest governance in Vietnam is developing a mechanism that woul...
ABSTRACT: The first Sustainable Development Goals (SDGs) of The United Nations aims to “end poverty ...
This paper investigates the effects of forestland on household income, poverty and inequality among...
Information on the spatial distribution of poverty is particularly useful in designing geographicall...
This paper combines household survey and census data to construct a provincial poverty map of Vietna...
2018 Summer.Includes bibliographical references.Forests provide numerous benefits to human well-bein...
In 1995, the forest coverage area in Vietnam was 27.2%, but by 2019, it reached to 41.89%. The Gover...
We test an emerging theory of the forest transition using the case of Vietnam. In the early 1990s, d...
This study uses a relatively new method called “small area estimation” to estimate various measures ...
This study uses a relatively new method called “small area estimation” to estimate various measures ...