Climate Change and Agriculture in Jamaica
Climate Change and Agriculture in Jamaica

Author: R. Selvaraju

Publisher: Food & Agriculture Organization of the UN (FAO)

Published: 2013

Total Pages: 132

ISBN-13:

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ctives of the study are: (i) to review current knowledge on vulnerability, past trends in climate, and impacts of climate variability and change on agriculture sector, and (ii) to explore technical and policy alternatives in order to cope with and adapt to impacts of climate variability and change more effectively. The study identified what the potential impacts are, considered what interventions are appropriate, and if and where they should occur. The scope of the study focused on broader policy directions and investment priorities in relation to climate change adaptation. The first two chapters of this book present overall background on the agriculture sector and vulnerability context. Chapter 2 specifically presents vulnerability of agro-ecosystems and food production systems in both temporal and special dimensions. Chapter 3 elaborates on the nature of climate variability and expected future changes in climate. The past trends in climate were described based on observation, analysi

Labor (mis?)measurement in agriculture
Labor (mis?)measurement in agriculture

Author: Ambler, Kate

Publisher: Intl Food Policy Res Inst

Published: 2021-10-27

Total Pages: 33

ISBN-13:

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Livelihoods are changing rapidly in rural areas. Measuring and categorizing peoples’ labor activities in relation to the agricultural sector is important for understanding income earning opportunities and designing effective policy. Conventional data collection methods ask about individuals’ main work activities over the past year. Descriptions are recorded in the field, postcoded, and eventually categorized. This approach is costly to collect, fatiguing for respondents, and may create distortions. We show that a more direct approach, asking respondents to categorize their major work activities themselves, provides similar resulting data despite some caveats and lessons for best enumeration practices. We compare these main activities to a series of yes/no questions about participation in a set of specific work tasks. We find a 12% incidence of “missing” work, whereby individuals who reported participation in at least one but did not have any recorded major activities. Looking by sector of work, women and youth are disproportionately more likely to have agricultural contributions “missed,” while we find no corresponding bias in undercounting of non-agricultural work. Finally, we test the effect of randomly positioning the task-based questions before the listing of major activities but do not find significant effects on the number or type of activities reported.