摘要
文章采用Moran’s I指数方法和空间计量模型,从省域层面实证分析了引起我国生产性服务业集聚地区异质性的因素。研究结果发现,我国生产性服务业集聚具有日趋明显的正向全局空间自相关特征,呈现出高值簇和低值簇的现象。我国生产性服务业集聚在局部空间相关性上呈现东中西梯次递减的"带状"分布,且空间范围不断扩大。劳动力因素、技术创新水平、产业因素、市场开放水平和政策支持因素均显著地促进了区域生产性服务业的集聚。可以通过发挥空间上的正向溢出效应,促进我国生产性服务业集聚水平的提升和协调发展。
Based on methods of Moran's I indexes and spatial econometric model, an empirical analysis is made on the factors of regional disparity in Chinese productive service industry clustering from the level of province. The results show that there is an enhanced positive global spatial autocorrelation and phenomena of high value and low value of agglomeration in Chinese productive service industry clustering. From the perspective of local spatial autocorrelation, Chinese productive service industry clustering is featured by a declined zonal distribution from the eastern to the middle, and then to the western regions, and its space is expanding. Factors of labor, technological innovation level, industry, policy support and the level of opening up can improve the productive service industry clustering in China significantly.
出处
《西安财经学院学报》
CSSCI
2016年第5期35-40,共6页
Journal of Xi’an University of Finance & Economics
基金
国家社会科学基金项目"网络群间负面信息传播的扩散机制
收敛性及其风险控制研究"(14BSH052)
中央高校重点科研项目"集群企业知识外溢与文化产业功能园区集聚效应研究"(10SZZD03)