A recently developed small area estimation technique is used to geographically derive detailed estimates of consumption-based poverty and inequality in rural Shaanxi, China. These estimates may be helpful for targeting since there is wide variability in poverty rates within Shaanxi but low levels of inequality within most counties and townships. We also investigate whether including environmental variables in the equation used to predict consumption and poverty improves upon typical approaches that only use household survey and census data. Ignoring environmental variables appears likely to produce targeting errors
Ecosystem services (ESs) are known to be particularly important to the rural poor globally and effec...
AbstractPoverty is one of the worldwide and key issues concerned by governments and international or...
The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regio...
A recently developed small area estimation technique is used to geographically derive detailed estim...
In this paper, we apply a recently developed small-area estimation technique to derive geographicall...
Developing methods of measuring multidimensional poverty and improving the accuracy of poverty ident...
Poverty maps provide information on the spatial distribution of welfare and can predict poverty leve...
Poverty is a challenge faced by all countries worldwide. This paper focuses on a factor that has bee...
Identifying poverty determinants in a region is crucial for taking effective poverty reduction measu...
Abstract:: We use the Alkire–Foster poverty measure and decomposition method to study multidimension...
China's official poverty statistics show a dramatic reduction in poverty from 31% of the rural popul...
China’s official poverty statistics show a dramatic reduction in poverty from 31 % of the rural popu...
Special functional areas and poor areas tend to spatially overlap, and poverty is a common feature o...
This paper uses the Dual Cut-offs Approach to measure multidimensional poverty in China at the natio...
carried out. 1 Much of current poverty debate in China focuses on the growing urban-rural income gap...
Ecosystem services (ESs) are known to be particularly important to the rural poor globally and effec...
AbstractPoverty is one of the worldwide and key issues concerned by governments and international or...
The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regio...
A recently developed small area estimation technique is used to geographically derive detailed estim...
In this paper, we apply a recently developed small-area estimation technique to derive geographicall...
Developing methods of measuring multidimensional poverty and improving the accuracy of poverty ident...
Poverty maps provide information on the spatial distribution of welfare and can predict poverty leve...
Poverty is a challenge faced by all countries worldwide. This paper focuses on a factor that has bee...
Identifying poverty determinants in a region is crucial for taking effective poverty reduction measu...
Abstract:: We use the Alkire–Foster poverty measure and decomposition method to study multidimension...
China's official poverty statistics show a dramatic reduction in poverty from 31% of the rural popul...
China’s official poverty statistics show a dramatic reduction in poverty from 31 % of the rural popu...
Special functional areas and poor areas tend to spatially overlap, and poverty is a common feature o...
This paper uses the Dual Cut-offs Approach to measure multidimensional poverty in China at the natio...
carried out. 1 Much of current poverty debate in China focuses on the growing urban-rural income gap...
Ecosystem services (ESs) are known to be particularly important to the rural poor globally and effec...
AbstractPoverty is one of the worldwide and key issues concerned by governments and international or...
The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regio...