中国科技服务业的异质性研究

中国各地区的科技服务业发展差异性较为明显,本文运用基尼系数、因子分析、面板模型对中国科技服务业发展的异质性进行了分析。首先,计算各个省份、各个区域的基尼系数,对各区域间的基尼系数进行对比,并对区域内基尼系数的贡献量进行分析;其次运用因子分析对各省份科技服务业发展的投入产出效率进行了测度;最后利用面板模型对影响各地区科技服务业发展的因素进行回归。研究结果表明：华北地区与华东地区的基尼系数较其他地区的大,这是由于位于华北地区的北京市与位于华东地区的上海市的科技服务业发展水平较高引起的;北京、上海、天津这三个地区科技服务业的投入产出效率较高,而江苏、山东的效率较低,从因子得分情况看,广东、北京、江苏的整体发展情况位于全国前三;地区生产总值与技术成交额与基尼系数之间呈现反比例的关系,而科技服务业的从业人员与基尼系数之间则呈现正相关的关系,各个省份之间的情况略有差异,需要进行具体情况具体分析。

Heterogeneity research of China"s science and technology service industry

This paper uses Gini coefficient, factor analysis and panel model to analyze the heterogeneity of China"s S T service industry. Firstly, the Gini coefficients of each province and region are calculated, and the Gini coefficients of each region are compared, and the contribution of the Gini coefficients within the region is analyzed; secondly, the input-output efficiency of the development of science and technology services in each province is measured by factor analysis; finally, the panel model is used to measure influence factors of the development of science and technology services in each region. The factors of development of science and technology service industry will be analyzed by a regression. The results show that the Gini coefficient between North China and East China is larger than that of other regions, which is caused by the higher level of science and technology service industry development between Beijing in North China and Shanghai in East China. The overall development of Guangdong, Beijing and Jiangsu are in the top three in China. There is an inverse relationship between GDP and technology turnover and Gini coefficient, while there is a positive correlation between employees of science and technology services and Gini coefficient. There are slight differences between provinces, which need to be analyzed in detail.