大枣产业发展对榆林乡村振兴的影响实证——基于面板固定效应模型
Empirical Study on the Impact of the Development of Jujube Industry on Rural Revitalization in Yulin——Based on Panel Fixed Effect Model
蔡小娟1
作者信息
- 1. 西北大学现代学院,陕西 西安 710130
- 折叠
摘要
以榆林乡村振兴局搜集到的大枣产业数据和榆林统计年鉴(2013～2022)的数据为基础,采用最小二乘法估计面板固定效应模型参数,然后通过逐步回归法逐步分析红枣产业整体发展水平kit、红枣总产值占比d_eit、种植面积占比d_fit 和红枣产量占比d_git 对乡村农民收入、产业融合和乡村就业的影响.结果表明,无论是单变量,还是多个变量的情况下,kit、d_eit、d_fit、d_git 对乡村农民收入产业融合都有着正向影响;在多变量下,加入d_fit 和d_git 后 没有通过显著性检验,但kit、d_eit 对乡村农民收入和产业融合呈现为正向显著影响.最后根据分析结果,总结了当前榆林大枣产业发展的问题,并提出了相应的建议.以期为提升榆林市大枣产业的经济效益、促进乡村振兴战略的开展和实施提供参考.
Abstract
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.
关键词
乡村振兴/产业发展/大枣/建议/面板数据回归Key words
Rural revitalization/Industrial development/Jujube/Suggestions/Panel data regression引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据