摘要
利用2020年全国329个地级市相关统计数据,建立半参数分位数回归模型,研究地区经济发展水平、城镇化率、政府作用、收入水平对不同发展水平的服务业影响效应。研究表明:地区经济发展水平与收入水平对各层次服务业发展均具有显著正向作用,但收入水平的促进作用会随着服务业发展水平的提高而减弱;城镇化率处于65%~80%时,对服务业具有逐步增强的促进作用;政府作用在促进服务业增长方面促进作用较弱。
Based on the relevant statistical data of 329 prefecture level cities in 2020,a semi-parametric-quantile regression model is established to study the influence of regional economic development level,urbanization rate,government role and income level on service industry at different development levels.The results show that the level of regional economic development has a significant positive effect on the development of service industry at all levels,and the higher the level of service industry development,the stronger the effect is;and income level have a significant positive effect on the development of service industry at all levels,but the promotion of income level will weaken with the improvement of service industry development level;When the urbanization rate is between 65%and 80%,the government’s role in promoting service growth is weak.
作者
董菲
DONG Fei(College of Mathematics and Statistics,Xianyang Normal University,Xianyang Shaanxi 712000,China)
出处
《科技和产业》
2022年第11期207-213,共7页
Science Technology and Industry
基金
陕西省教育厅科研计划项目(20JK0974)
咸阳师范学院校级科研项目(XSYK21016)。
关键词
服务业
影响因素
半参数模型
分位数回归
service industry
influencing factors
semi-parametric model
quantile regression
