Farmers' Perceptions of Climate Variability and Factors Influencing Adaptation: Evidence from Anhui and Jiangsu, China

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• 作者：Grace Wanjiru Kibue ; Xiaoyu Liu ; Jufeng Zheng ; Xuhui zhang…
• 关键词：Logit model ; Agriculture ; Climate change and variability ; China ; Adaptation
• 刊名：Environmental Management
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：57
• 期：5
• 页码：976-986
• 全文大小：903 KB
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• 作者单位：Grace Wanjiru Kibue (1) (2)
  Xiaoyu Liu (1)
  Jufeng Zheng (1)
  Xuhui zhang (1)
  Genxing Pan (1)
  Lianqing Li (1)
  Xiaojun Han (1)
  
  1. Center for Climate Change and Agriculture, Nanjing Agricultural University, 1 Weigang, Nanjing, 210095, China
  2. Faculty of Environment and Resources Development, Egerton University, 536, Nakuru, Kenya
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environmental Management
  Ecology
  Nature Conservation
  Atmospheric Protection, Air Quality Control and Air Pollution
  Forestry Management
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer New York
• ISSN：1432-1009

文摘

Impacts of climate variability and climate change are on the rise in China posing great threat to agriculture and rural livelihoods. Consequently, China is undertaking research to find solutions of confronting climate change and variability. However, most studies of climate change and variability in China largely fail to address farmers’ perceptions of climate variability and adaptation. Yet, without an understanding of farmers’ perceptions, strategies are unlikely to be effective. We conducted questionnaire surveys of farmers in two farming regions, Yifeng, Jiangsu and Qinxi, Anhui achieving 280 and 293 responses, respectively. Additionally, we used climatological data to corroborate the farmers’ perceptions of climate variability. We found that farmers’ were aware of climate variability such that were consistent with climate records. However, perceived impacts of climate variability differed between the two regions and were influenced by farmers’ characteristics. In addition, the vast majorities of farmers were yet to make adjustments in their farming practices as a result of numerous challenges. These challenges included socioeconomic and socio-cultural barriers. Results of logit modeling showed that farmers are more likely to adapt to climate variability if contact with extension services, frequency of seeking information, household heads’ education, and climate variability perceptions are improved. These results suggest the need for policy makers to understand farmers’ perceptions of climate variability and change in order to formulate policies that foster adaptation, and ultimately protect China’s agricultural assets.