Abstract: The entropy method, agricultural industry integration index model, and gray correlation analysis method were used to calculate and analyze the level of rural industry integration and driving factors in Qira County, Xinjiang from 2015 to 2019. The results showed that during the study period, the ACDI index of Qira County increased from 0.108 9 to 0.566 4, but it was still in its infancy. Both the index of the industrial integration behavior and the integrated development economic and social benefit showed an increasing trend. The four sub-indexes of industrial chain extension, agricultural multi-functional expansion, integration of agriculture and service industry, income increase and employment all showed steady growth, and the trend of urban-rural integration fluctuated slightly. Related industries, market demand and other five factors were highly correlated with the industrial integration development in Qira County, and the impact was significant. Accordingly, the integrated development models of industries in Qira County such as “connecting secondary and tertiary industries” “relying on the secondary industry to connect the tertiary industry” “spanning the secondary industry to connect the tertiary industry”, and “connecting the tertiary industry to the primary industry” were proposed. Finally, some countermeasures and suggestions were put forward from the aspects of effectively extending the agricultural industry chain, promoting new agricultural business forms, and perfecting talents, finance, science and technology guarantee system, in order to promote the consolidation of poverty alleviation and industrial integrated development in Qira County, realize industrial prosperity and help rural revitalization.

Key words: rural revitalization, industrial integration, driving factors, Qira County of Xinjiang