Abstract: Using individual level employment data from Bangladesh, this paper presents empirical evidence on the relative importance of farm and urban linkages for rural nonfarm employment. The econometric results indicate that high return wage work and self-employment in nonfarm activities cluster around major urban centers. The negative effects of isolation on high return wage work and on self-employment are magnified in locations with higher agricultural potential. The low return nonfarm activities respond primarily to local demand displaying no significant spatial variation. The empirical results highlight the need for improved connectivity of regions with higher agricultural potential to urban centers for nonfarm development in Bangladesh.

Using individual level employment data from Bangladesh, this paper presents empirical evidence on the relative importance of farm and urban linkages for rural nonfarm employment. The econometric results indicate that high return wage work and self-employment in nonfarm activities cluster around major urban centers. The negative effects of isolation on high return wage work and on self-employment are magnified in locations with higher agricultural potential. The low return nonfarm activities respond primarily to local demand displaying no significant spatial variation. The empirical results highlight the need for improved connectivity of regions with higher agricultural potential to urban centers for nonfarm development in Bangladesh.

Outlining important policy requirements for Bangladesh to become an upper middle-income country, the book presents research work conducted during the project “Changing Labor Markets in Bangladesh: Understanding Dynamics in Relation to Economic Growth and Poverty,” sponsored by the International Development Research Center (IDRC), Canada. Bangladesh has experienced remarkable economic growth rates over the last decade. The country has recently been upgraded from a low-income country (LIC) to a lower-middle-income country (LMIC) as per the World Bank’s classification system. By 2024, the country also aspires to graduate from the United Nation’s list of least developed countries (LDC). The 7th five-year plan sets an ambitious target of 8 percent growth in GDP by 2020. There are also steep development targets to be achieved under the Sustainable Development Goals (SDGs) by 2030. All these will require an enormous leap forward from the current level of economic growth rate and sustaining it in the future. The situation also calls for considerable structural change in the economy, facilitating large-scale economic diversification. Rapid expansion of labor-intensive and high-productivity sectors, both in the farm and nonfarm sectors, is thus crucial for Bangladesh. Further, this should take place in conjunction with interventions to enhance productivity, jobs and incomes in traditional and informal activities where there are large pools of surplus labor. Given its relevance for Bangladesh and applicability to many other developing countries, the book offers a unique and pioneering resource for researchers, industry watchers as well as policy makers.

Stylized facts set agendas and shape debates. In rapidly changing and data scarce environments, they also risk being ill-informed, outdated and misleading. So, following higher food prices since the 2008 world food crisis, robust economic growth and rapid urbanization, and climatic change, is conventional wisdom about African agriculture and rural livelihoods still accurate? Or is it more akin to myth than fact? The essays in “Agriculture in Africa †“ Telling Myths from Facts†? aim to set the record straight. They exploit newly gathered, nationally representative, geo-referenced information at the household and plot level, from six African countries. In these new Living Standard Measurement Study-Integrated Surveys on Agriculture, every aspect of farming and non-farming life is queried—from the plots farmers cultivate, the crops they grow, the harvest that is achieved, and the inputs they use, to all the other sources of income they rely on and the risks they face. Together the surveys cover more than 40 percent of the Sub-Saharan African population. In all, sixteen conventional wisdoms are examined, relating to four themes: the extent of farmer’s engagement in input, factor and product markets; the role of off-farm activities; the technology and farming systems used; and the risk environment farmers face. Some striking surprises, in true myth-busting fashion, emerge. And a number of new issues are also thrown up. The studies bring a more refined, empirically grounded understanding of the complex reality of African agriculture. They also confirm that investing in regular, nationally representative data collection yields high social returns.

This book contributes to the understanding of smallholder agriculture in sub-Saharan Africa through addressing the dynamics of intensification and diversification within and outside agriculture in contexts where women have much poorer access to agrarian resources than men

This book is open access under a CC BY-NC-SA 3.0 IGO license. The book uses an economic lens to identify the main features of climate-smart agriculture (CSA), its likely impact, and the challenges associated with its implementation. Drawing upon theory and concepts from agricultural development, institutional, and resource economics, this book expands and formalizes the conceptual foundations of CSA. Focusing on the adaptation/resilience dimension of CSA, the text embraces a mixture of conceptual analyses, including theory, empirical and policy analysis, and case studies, to look at adaptation and resilience through three possible avenues: ex-ante reduction of vulnerability, increasing adaptive capacity, and ex-post risk coping. The book is divided into three sections. The first section provides conceptual framing, giving an overview of the CSA concept and grounding it in core economic principles. The second section is devoted to a set of case studies illustrating the economic basis of CSA in terms of reducing vulnerability, increasing adaptive capacity and ex-post risk coping. The final section addresses policy issues related to climate change. Providing information on this new and important field in an approachable way, this book helps make sense of CSA and fills intellectual and policy gaps by defining the concept and placing it within an economic decision-making framework. This book will be of interest to agricultural, environmental, and natural resource economists, development economists, and scholars of development studies, climate change, and agriculture. It will also appeal to policy-makers, development practitioners, and members of governmental and non-governmental organizations interested in agriculture, food security and climate change.

This paper focuses on rural nonfarm development via the route of salaried employment. The analysis is at the rural household level for two types of households: “mixed” households whereby some workers remain in the farm sector and others pursue nonfarm activities and the rural households who are exclusively dependent on nonfarm employment (rural nonfarm). The study has produced three major findings. First, compared with the mixed or farm-only households, nonfarm households seem to have more income. Second, nonfarm households discourage unpaid work, especially among female workers, in sharp contrast to the increasing share of unpaid work in both farm and mixed households. Third, nonfarm households increasingly rely, for their livelihoods, on salaried employment, which is likely to be of a more durable nature than the juggling of multiple occupations observed in the case of mixed households. Analysis of possible factors influencing the formation of nonfarm households shows the importance of human capital, non-land assets, and proximity to larger towns, while natural shocks seem to encourage the formation of mixed households and remittance from abroad tends to stimulate the farm orientation.