On the basis of the jujube industry data collected by Yulin Rural Revitalization Bureau and the data of Yulin Statistical Yearbook(2013～2022),the parameters of panel fixed effect model are estimated by least square method.Then,the influences of the overall development level of jujube industry(kit),the proportion of total output value of red jujube(d_eit),the proportion of planting area(d_fit)and the proportion of red ju-jube yield(d_git)on rural farmers'income,industrial integration and rural employment are gradually ana-lyzed by stepwise regression method.The results show that in the case of either single variable or multiple vari-ables,kit,d_eit,d_fit and d_git have a positive impact on rural farmers'income and industrial integration.In the case of multiple variables,the significance test is not passed after adding d_fit and d_git,but kit and d_eit have a positive and significant impact on rural farmers'income and industrial integration.the panel fixed-effect model parameters were estimated by the least squares method.Finally,according to the analysis results,the problems of the current jujube industry development in Yulin are summarized,and the suggestions are put for-ward,thereby providing reference for improving the economic benefits of jujube industry in Yulin and promo-ting the development and implementation of rural revitalization strategy.
Rural revitalizationIndustrial developmentJujubeSuggestionsPanel data regression
国家科技期刊平台
NSTL
万方数据
