关键词: 病虫害绿色防控技术, 采纳行为, 采纳程度, 农户相对贫困, 再中心化影响函数(RIF)

Abstract: Xinjiang fully eliminated absolute poverty by the end of 2020, but how to alleviate the relative poverty problem in the postpoverty eradication era has become a key obstacle to achieve common prosperity in Xinjiang. This paper uses survey data from 624 farm households in Xinjiang to explore the impact of pest and disease green control technology on farm households relative poverty with the help of regression of recentered impact function (RIF) model. It is found that under the relative poverty line set at 50% of farmers per capita disposable income, the relative poverty incidence in the study area is 44.4%, and the coefficients of relative poverty composite index, relative poverty depth and relative poverty intensity are 0.260, 0.208 and 0.129, respectively; The adoption behavior and degree of adoption of pest and disease green agricultural technologies help alleviate the relative poverty among farmers, and the degree of adoption Gender, education level, land size, and whether or not to use organic fertilizer have significant negative effects on the relative poverty index, while age, parttime employment, and whether or not to use cable TV to obtain information have significant positive effects.There is variability in the magnitude of the relative poverty alleviation effect of pest and disease green control technologies. In terms of relative poverty index, relative poverty breadth > relative poverty depth > relative poverty intensity. In terms of regional dimension, southern border > northern border; in terms of land scale heterogeneity, small scale > medium scale > large scale; in terms of parttime degree, Ⅲ parttime > Ⅱ parttime > Ⅰ parttime.

Key words: pest and disease green control technology, adoption behavior, adoption degree, farmers relative poverty, recentering influence function (RIF)