EVALUATION OF LIVELIHOOD RESILIENCE OF FARMERS OF DIFFERENT LIVELIHOOD TYPES UNDER THE IMPACT OF COVID-19
The impact of COVID-19 bring risks to the livelihood development of farmers,and it is of great significance to understand the current livelihood status of farmers and related influencing factors,so as to improve the quality of life of farmers and promote rural revitalization.Based on the survey data of farmers in Yangling and its surrounding areas of Shaanxi province,this paper combined subjective and objective resilience to construct an evaluation system for farmers'livelihood resilience in four dimensions:buffering ability,self-organization ability,learning ability and psychological perception.We used the comprehensive index method and obstacle diagnosis model to measure the current situation of livelihood resilience of farmers of different livelihood types under the impact of the new crown epidemic and identify its influencing factors.The results showed that:(1)The level of livelihood resilience of farmers under the impact of COVID-19 was generally low.From high to low,it was integrated livelihood,concurrent business-oriented,agriculture-oriented type,and labor-oriented type.The levels of all dimensions were low and the distribution is different;(2)The subjective resilience index had a great impact on the livelihood resilience of various types of farmers,and the impact of subjective resilience on the overall livelihood resilience of farmers could not be ignored;(3)The barriers of different livelihood types were relatively similar.The degree of participation in skills training,personal risk perception,personal risk perception,household savings,and social network support had an impact on the livelihood resilience of farmers.Based on the differences in livelihood resilience and influencing factors of farmers with different livelihood types,differentiated suggestions for improving livelihood resilience can be proposed for farmers of different livelihood types.
livelihood resiliencedifferent livelihood typesfarmerspsychological perceptionthe back-ground of COVID-19
NETL
NSTL
万方数据
