2013
DOI: 10.1016/j.jenvman.2012.11.003
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The acceptability of climate change in agricultural communities: Comparing responses across variability and change

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Cited by 29 publications
(31 citation statements)
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“…The choice of the explanatory independent variables for the multinomial logistic regression was based on the data availability and the literature. In previous research, it was observed that household and climate attributes influenced the perceptions of the local people regarding climate change and its related hazards [23,34]. For example, high education indicates that the population has a better ability to read and understand climate change and related hazard issues from various sources [35], and the individuals perceiving increases in rainfall and rainfall variability are more aware of climate change and the related hazards (e.g., flood) [26,36].…”
Section: Household Data Analysismentioning
confidence: 99%
“…The choice of the explanatory independent variables for the multinomial logistic regression was based on the data availability and the literature. In previous research, it was observed that household and climate attributes influenced the perceptions of the local people regarding climate change and its related hazards [23,34]. For example, high education indicates that the population has a better ability to read and understand climate change and related hazard issues from various sources [35], and the individuals perceiving increases in rainfall and rainfall variability are more aware of climate change and the related hazards (e.g., flood) [26,36].…”
Section: Household Data Analysismentioning
confidence: 99%
“…The extent to which farmers are aware of climate change, and the link between perception and action, is a debated issue in the literature. This is because variability in perception has important implications for actions undertaken, and those who accept human‐induced climate change as a reality are significantly more likely to invest in mitigation measures (Raymond & Spoehr, ). Trærup and Mertz (, p. 480) compared rainfall data and householders’ self‐reported harvest shocks related to unfavourable weather conditions in Kagera in Northwest Tanzania and claimed “coherence between the number of shocks and anomalies in rainfall patterns”, thereby, suggesting a link between local awareness and actual climate variation.…”
Section: Discussionmentioning
confidence: 99%
“…We did not find a NZ study directly investigating this barrier. In Australia, Raymond and Spoehr (2013) find that landholders who reject or are unsure about human-induced climate change are less likely to believe a winter-spring drying trend is possible, although this study does not focus on barriers and uses loss aversion in a more abstract way. The authors argue that landholders display loss aversion associated with the framing of terms, i.e.…”
Section: Loss Aversionmentioning
confidence: 99%