Literature DB >> 32380633

Farmers' perceived efficacy of adaptive behaviors to climate change in the Loess Plateau, China.

Xingmin Shi1, Lifan Sun2, Xieyang Chen3, Lu Wang4.   

Abstract

The impact of climate change is very significant to farmers who depend on natural resources for livelihood. It is essential to have a better understanding of farmers' assessments of the efficacy of adaptive behaviors for formulating appropriate adaptation policies and improving farmers' ability to adapt to climate change. Based on survey data from interviews with farmers in the Loess Plateau, the features of farmers' perceived adaptation efficacy are analyzed. Three multiple linear regression models are used to analyze farmers' perceived efficacy of adaptive behaviors and identify factors influencing those assessments in terms of farmers' demographical and social factors, their perception of climate change, their perception of climate change effects and the average temperature and precipitation from 2005 to 2015 in this area. The results are as follows: (1) Generally, the adaptive behaviors with high perceived adaptation efficacy were used by most respondents. Measures with relatively low perceived adaptation efficacy were not commonly adopted, such as migration, buying insurance, changing planting and harvesting time. (2) The factors affect the perceived efficacy of adaption behavior in decreasing order are as follows: perception of climate change, the average precipitation, and demographical and social factors. Perception of local natural disasters, perception of planting and harvesting time, crop yield and diseases and insect pests caused by climate change were found to affect farmers' adaptation assessments. The key demographical and social factors influencing farmers' assessments were non-farming income, farming income, farmland quantity, gender, the frequency of watching TV and going to the market.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Assessments of the efficacy; Climate change adaptation; Perceived adaptation efficacy; The Loess Plateau

Year:  2019        PMID: 32380633     DOI: 10.1016/j.scitotenv.2019.134217

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Spatiotemporal and hotspot detection of U5-children diarrhea in resource-limited areas of Ethiopia.

Authors:  Bezuayehu Alemayehu; Birhanu Teshome Ayele; Claudio Valsangiacomo; Argaw Ambelu
Journal:  Sci Rep       Date:  2020-07-03       Impact factor: 4.379

  1 in total

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