Measurement of rural industrial integration in Liaoning province and diagnosis of obstacle factors
The integration of primary,secondary,and tertiary industries in rural areas is crucial for a-chieving rural revitalization and modernization of agriculture and rural areas.It is conducive to the high-quality development of rural economy.The spatial distribution of the integration of primary,secondary,and tertiary industries in Liaoning province is uneven.The use of entropy weight method and rank sum ratio comprehensive evaluation method to study the comprehensive level of rural inte-gration of tertiary industries has theoretical and practical significance for promoting high-quality de-velopment of tertiary integration in Liaoning province.This article first analyzes the temporal changes in the level of rural integration of three industries in Liaoning province from 2012 to 2021,and then uses the year 2021 as an example to study the spatial differences in the level of rural integra-tion of three industries in the 14 cities in Liaoning province.The results show that,from the perspec-tive of time characteristics,the overall level of rural integration of primary,secondary,and tertiary industries in Liaoning province exhibited an upward trend from 2012 to 2021.Affected by the slow-down in China's economy in 2016,the level of integration exhibited a significant decline in 2016.From the perspective of spatial characteristics,there are spatial differences in the comprehensive level of integration of primary,secondary,and tertiary industries in rural areas of Liaoning province in 2021.Dalian ranks first,followed by Shenyang,while Fushun,Yingkou,and Liaoyang rank low-er,with a significant gap between.Therefore,each region should leverage its own advantages,ad-dress its shortcomings,and promote the overall development of the integration of the three industries in rural areas of Liaoning.
integration of primary,secondary and tertiary industries in rural areasentropy weight methodrank sum ratio comprehensive evaluation methodLiaoning province
万方数据
维普
