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摘要:不公正的气候

衡量气候变化对农村贫困人口、女性和青年的影响








The full report is available here


粮农组织。2024。《不公正的气候:衡量气候变化对农村贫困人口、女性和青年的影响》 — 摘要。罗马。 




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    Developing policies to foster inclusive rural transformation processes requires better evidence on how climate change is affecting the livelihoods and economic behaviours of vulnerable rural people, including women, youths and people living in poverty. In particular, there is little comparative, multi-country and multi-region evidence to understand how exposure to weather shocks and climate change affects the drivers of rural transformation and adaptive actions across different segments of rural societies and in different agro-ecological contexts. This evidence is essential because, while climate risk and adaptive actions are context specific and require local solutions, global evidence is important for identifying shared vulnerabilities and priority actions for scaling up effective responses. This report assembles an impressive set of data from 24 low- and middle-income countries in five world regions to measure the effects of climate change on rural women, youths and people living in poverty. It analyses socioeconomic data collected from 109 341 rural households (representing over 950 million rural people) in these 24 countries. These data are combined in both space and time with 70 years of georeferenced data on daily precipitation and temperatures. The data enable us to disentangle how different types of climate stressors affect people’s on-farm, off-farm and total incomes, labour allocations and adaptive actions, depending on their wealth, gender and age characteristics.
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    Policy brief
    The unjust climate
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    The purpose of this handbook is to summarize experience gained over recent years in fishery statistical development by the Fishery Information, Data and Statistics Unit (FIDI) of FAO, and provide planners and users of fishery surveys with simple and step-by-step guidance for developing and implementing cost-effective and sustainable fishery surveys. The methodological and operational concepts discussed here apply equally to both marine and inland capture fisheries and are presented in a manner t hat is generic enough to make them adaptable to most commonly used data collection systems. Statistical aspects are presented in a descriptive rather than theoretical manner. Emphasis is placed on the understanding and interpretation of the statistics and related indicators collected, rather than on the computations producing them. Readers interested in a more in-depth discussion on statistical and computing approaches may make use of the list of references that is given at the end of the handbo ok.
  • Thumbnail Image
    Book (stand-alone)
    The unjust climate
    Measuring the impacts of climate change on rural poor, women and youth
    2024
    Also available in:
    No results found.

    Developing policies to foster inclusive rural transformation processes requires better evidence on how climate change is affecting the livelihoods and economic behaviours of vulnerable rural people, including women, youths and people living in poverty. In particular, there is little comparative, multi-country and multi-region evidence to understand how exposure to weather shocks and climate change affects the drivers of rural transformation and adaptive actions across different segments of rural societies and in different agro-ecological contexts. This evidence is essential because, while climate risk and adaptive actions are context specific and require local solutions, global evidence is important for identifying shared vulnerabilities and priority actions for scaling up effective responses. This report assembles an impressive set of data from 24 low- and middle-income countries in five world regions to measure the effects of climate change on rural women, youths and people living in poverty. It analyses socioeconomic data collected from 109 341 rural households (representing over 950 million rural people) in these 24 countries. These data are combined in both space and time with 70 years of georeferenced data on daily precipitation and temperatures. The data enable us to disentangle how different types of climate stressors affect people’s on-farm, off-farm and total incomes, labour allocations and adaptive actions, depending on their wealth, gender and age characteristics.
  • Thumbnail Image
    Policy brief
    The unjust climate
    Measuring the impacts of climate change on the rural poor, women and youth: Summary
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    Measuring the impacts of climate change on the rural poor, women and youths report assembles an impressive set of data from 24 low- and middle-income countries in five world regions to measure the effects of climate change on rural women, youths and people living in poverty. It analyses socioeconomic data collected from 109 341 rural households (representing over 950 million rural people) in these 24 countries. These data are combined in both space and time with 70 years of georeferenced data on daily precipitation and temperatures. The data enable us to disentangle how different types of climate stressors affect people’s on-farm, off-farm and total incomes, labour allocations and adaptive actions, depending on their wealth, gender and age characteristics. The brief summarizes the key messages and findings.
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    以抽样为基础的渔业调查:技术手册。 2010
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    The purpose of this handbook is to summarize experience gained over recent years in fishery statistical development by the Fishery Information, Data and Statistics Unit (FIDI) of FAO, and provide planners and users of fishery surveys with simple and step-by-step guidance for developing and implementing cost-effective and sustainable fishery surveys. The methodological and operational concepts discussed here apply equally to both marine and inland capture fisheries and are presented in a manner t hat is generic enough to make them adaptable to most commonly used data collection systems. Statistical aspects are presented in a descriptive rather than theoretical manner. Emphasis is placed on the understanding and interpretation of the statistics and related indicators collected, rather than on the computations producing them. Readers interested in a more in-depth discussion on statistical and computing approaches may make use of the list of references that is given at the end of the handbo ok.

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