Up to 25 percent of all anthropogenic greenhouse gas emissions are caused by deforestation, and Indonesia is the third largest greenhouse gas emitter worldwide due to land use change and deforestation. On the island of Sulawesi in the vicinity of the Lore Lindu National Park (LLNP), many...

The motivation for this research stems from increasing interest showed for the issue of targeting. The paper explores the use of proxy means tests to identify the poorest households in Uganda. The set of indicators used in our model includes variables usually available in Living Standard...

This paper1 describes Participatory Wealth Ranking’s (PWR) accuracy in predicting the poverty status of groups identified by socio-economic indicators. On the basis of a census in 8 villages located in three of the six divisions of Bangladesh, 1660 households were scored using the...

Developing accurate, yet operational poverty assessment tools to target the poorest households remains a challenge for applied policy research. This paper aims to develop poverty assessment tools for four countries: Bangladesh, Peru, Uganda, and Kazakhstan. The research applies the Principal...

This paper analyses the determinants of income generating activities of rural households in the vicinity of the Lore-Lindu National Park in Central Sulawesi, Indonesia. The focus is on activities which threaten the integrity of the national park (perennial crop production and sale of forest...

Eradicating poverty is one of the most urgent concerns of development policies. Organisations aiming at reducing poverty need simple and stable tools to detect poor households. Using data from Central Sulawesi, Indonesia, this study aims to test first whether two indicators sets for poverty...

This study aims to test 1. whether two indicator-based tools for poverty assessment in rural Central Sulawesi, Indonesia, developed in 2005 are capable of predicting absolute poverty in 2007, and 2. whether the indicator composition of these poverty assessment tools remains robust over time. In...