Non-agricultural employment is necessary for urban and rural residents to obtain income.Optimiz-ing the layout of non-agricultural industries in urban and rural areas is important for promoting the develop-ment of thriving rural industries,keeping the villagers'non-agricultural employment close to home,reducing rural population loss,and achieving coordinated urban and rural development.Studies have been conducted on non-agricultural employment,but they paid little attention to the spatial-matching relationship between non-ag-ricultural employment jobs and the permanent population in urban and rural multi-level spaces within the coun-try.They also failed to analyze the driving mechanism of non-agricultural industries.For this research,kernel density estimation analysis and Densi-Graph analysis were used on a case study of a typical county in Chongqing to quantitatively identify urban and rural multi-level space and construct the non-agricultural em-ployment index based on factors including POI data and mobile phone data.This study quantitatively measures the non-agricultural employment index of urban and rural multi-level space to reflect the spatial-matching rela-tionship between the non-agricultural employment jobs and the permanent population at the urban and rural multi-level space within the country,and verify the reliability of the non-agricultural employment index results in the field.This study's results showed that:1)The non-agricultural employment index can reliably character-ize the spatial-matching relationship between the non-agricultural employment jobs and the permanent popula-tion.2)The non-agricultural employment index has the differentiation characteristics of urban and rural multi-level,decreasing in the following order:market town,urban-rural fringe,urban core,and countryside.3)Multi-level boundary effects exist between urban and rural areas according to the response of the non-agricultural em-ployment index to influencing factors,among which the urban core area has the strongest response,and the countryside area has the weakest response.4)There are positive drivers of non-agricultural employment in the adjacent areas from the layout of industrial parks and scenic areas,contributing to an endogenous double-cycle driving model of employment environment improved again and living environment improved again for the re-gion.This study provides a scientific basis for guiding the spatial adaptation of non-agricultural industry devel-opment and permanent population in urban and rural multi-level space within the country,as well as realizing the coordinated development of urban and rural non-agricultural industry and population.
关键词
非农就业/空间匹配/非农就业指数/城乡多级空间/县域城乡非农就业
Key words
non-agricultural employment/spatial matching/non-agricultural employment index/urban and rural multi-level space/urban and rural non-agricultural employment of county
维普
万方数据