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1.
This paper reflects on the resurgence and meaning of the adaptation concept in the current climate change literature. We explore the extent to which the early political economic critique of the adaptation concept has influenced how it is used in this literature. That is, has the current conceptualization been enriched by the political economic critique of the 1970s and 1980s and thus represent something new? Or is the concept used in a way today that echoes previous debates; that is, is this a déjà vu experience? To answer this question, we review the early political economic critique of the natural hazards school’s interpretations of vulnerability and adaptation. We then examine the revival of the adaptation concept in the climate change literature and discuss its main interpretations. For the purposes of this paper, the climate change literature encompasses the four IPCC reports and adaptation-focused articles in four scholarly journals: Global Environmental Change, Climatic Change, Climate and Development, and Mitigation and Adaptation Strategies for Global Change. Our content analysis shows the dominance (70%) of “adjustment adaptation” approaches, which view climate impacts as the main source of vulnerability. A much smaller percentage (3%) of articles focus on the social roots of vulnerability and the necessity for political–economic change to achieve “transformative adaptation.” A larger share (27%) locates risk in both society and the biophysical hazard. It promotes “reformist adaptation,” typically through “development,” to reduce vulnerability within the prevailing system. We conclude with a discussion of continuity and change in the conceptualization of adaptation, and point to new research directions.  相似文献   

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Understanding climate variability and change is essential for designing adaptation policies and strategies to deal with the impacts of climate change on the agricultural sector. This Paper aims at assessing climate variability/change, the perception of rural farmers on climate change and preferred  adaptation strategies among the farmers in some selected farming communities in Nigeria. The study thus used both meteorology data and social survey, to examine variability/change in climate and factors determining the adaptation techniques adopts by rural farmers. The results show a relatively uniform temperatures and some seasonal variations in recent years (diurnal range of temperature is about 10 °C) but the rainfall shows much more seasonal variations. The rainfall has relatively undeviating trend from 1981 to 1996 but the trend appears to be upwards from the year 1997 to 2010. About 72.8% participants responded in the affirmative that climate is changing but there appears to be a significant relationship between the length of farming experiences and farmers’ perceptions of climate change adaptation techniques. Water-related (about 53%) and nutrient related (about 52%) technologies appear to have a high preference among the farmers. The major driver that determines farmers’ preference for climate change adaptation techniques is their incomes and experiences.  相似文献   

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This study explores the relationship between perception on climate change as well as climatic hazards and socio-demographic characteristics such as age, gender, occupation, exposure to mass media, amount of land, education, and income. Following simple random sampling technique, a total of 384 households were sampled from Rangamati Sadar Upazila of Bangladesh and were interviewed through a predesigned semistructured questionnaire. The findings of the study reveal that a substantial number of respondents (61 %) perceive that climate is changing moderately over the years. The bivariate results indicate that age, gender, education, occupation, income, amount of land, and access to mass media are significantly associated with perception on climate change as well as climatic hazards. In addition, age, education, and exposure to mass media are also found as significant predictors of climate change perception. Education has been found as the single best predictor.  相似文献   

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