TY - BOOK
T1 - Environmental resources and poverty in rural communities
T2 - Income and assets based poverty analyses and development in environmentally reliant communities
AU - Charlery, Lindy Callen
PY - 2015
Y1 - 2015
N2 - Over the last two decades, the burgeoning empirical evidence on the importance of forests and environmental resources to rural livelihoods in developing countries has attracted the attention of policy makers aiming to develop and implement strategies for reducing poverty and improving livelihoods. This has led to the following question being asked: Are forests and environmental resources able to help poor households escape poverty? Empirically, answering this question is important if the role of forests in poverty prevention and reduction, contributing to the first Millennium Development Goal, is to be sustainably realized. However, most datasets on rural livelihoods do not accurately account for environmental income and therefore cannot answer this question. The Poverty Environment Network (PEN) project was initiated specifically to address this issue in the assessment of rural livelihoods in developing countries. Using a country specific adaptation of the PEN prototype survey instruments, the Community based Natural Forest Management in the Himalayas (ComForM) project was implemented in Nepal for the generation of a panel dataset to allow more dynamic and in-depth analyses. Utilizing this data this PhD study focuses on answering two main research questions: 1) What is the importance of environmental income in assessments of poverty and poverty dynamics in rural forest reliant communities? and 2) What are the impacts of infrastructural development, in the form of rural roads, on rural household income, inequality, and use of environmental resources? These questions are addressed through four self-contained articles guided by related specific objectives. Guided by a framework for rural livelihoods analysis stemming from the Sustainable Livelihoods Approach, the studies in this thesis integrate qualitative and quantitative methods involving multiple actors. They go beyond the static analyses which were common in livelihood studies and have been highly criticized, contributing to a more dynamic analysis of these complex questions.
AB - Over the last two decades, the burgeoning empirical evidence on the importance of forests and environmental resources to rural livelihoods in developing countries has attracted the attention of policy makers aiming to develop and implement strategies for reducing poverty and improving livelihoods. This has led to the following question being asked: Are forests and environmental resources able to help poor households escape poverty? Empirically, answering this question is important if the role of forests in poverty prevention and reduction, contributing to the first Millennium Development Goal, is to be sustainably realized. However, most datasets on rural livelihoods do not accurately account for environmental income and therefore cannot answer this question. The Poverty Environment Network (PEN) project was initiated specifically to address this issue in the assessment of rural livelihoods in developing countries. Using a country specific adaptation of the PEN prototype survey instruments, the Community based Natural Forest Management in the Himalayas (ComForM) project was implemented in Nepal for the generation of a panel dataset to allow more dynamic and in-depth analyses. Utilizing this data this PhD study focuses on answering two main research questions: 1) What is the importance of environmental income in assessments of poverty and poverty dynamics in rural forest reliant communities? and 2) What are the impacts of infrastructural development, in the form of rural roads, on rural household income, inequality, and use of environmental resources? These questions are addressed through four self-contained articles guided by related specific objectives. Guided by a framework for rural livelihoods analysis stemming from the Sustainable Livelihoods Approach, the studies in this thesis integrate qualitative and quantitative methods involving multiple actors. They go beyond the static analyses which were common in livelihood studies and have been highly criticized, contributing to a more dynamic analysis of these complex questions.
UR - https://rex.kb.dk/primo-explore/fulldisplay?docid=KGL01009129853&context=L&vid=NUI&search_scope=KGL&tab=default_tab&lang=da_DK
M3 - Ph.D. thesis
BT - Environmental resources and poverty in rural communities
PB - Department of Food and Resource Economics, Faculty of Science, University of Copenhagen
ER -