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基于半参数分位数回归模型的服务业发展水平影响因素研究
Study on the Development Level of Service Industry Based on Semi-parametric Quartile Regression Model
【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。
【Abstract】 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.
【Key words】 service industry; influencing factors; semi-parametric model; quantile regression;
- 【文献出处】 科技和产业 ,Science Technology and Industry , 编辑部邮箱 ,2022年11期
- 【分类号】F224;F719
- 【下载频次】71