分布异质视角下产业集聚与文化产业增长研究-基于分位数面板回归的经验证据
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引用本文:熊建练,王耀中.分布异质视角下产业集聚与文化产业增长研究-基于分位数面板回归的经验证据[J].财经理论与实践,2017,(2):117-122
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作者单位
熊建练,王耀中 (湖南大学 经济与贸易学院湖南 长沙410079) 
中文摘要:基于分布异质视角,依据2003-2011年省域面板数据,利用分位数面板回归模型,考量产业集聚与文化产业增长。结果表明:随分位水平的提高,各因素的作用不一。文化产业集聚对文化产业增长的正向边际贡献呈现递增趋势。因此,应遵循文化产业增长的内在规律,因地制宜,合理规划文化产业集聚区,推进文化资源、要素与资本市场的对接,调整文化消费结构,促进文化产业的可持续增长。
中文关键词:产业集聚  文化产业增长  分布异质性  分位数面板回归模型
 
The Heterogeneity Effect of Cultural Industry Cluster: Evidence from Panel Quantile Regression Model
Abstract:After controlling for the individual and distributional heterogeneity, this paper investigates the impact of various factors on the conditional distribution of cultural industry development using the China provincial panel data over the years 2003-2011. The study shows that, with the increase of the level of points, the roles of various factors are different. The marginal effect of cultural industry cluster on cultural industry development is larger at high quantiles than low quantiles. Our empirical results indicate that the policy maker should follow the intrinsic law of cultural industry development.We should formulate different development policy for regions at different development level. Meanwhile, one should promote the docking of cultural resources, elements and capital market, adjust the structure of cultural consumption, and promote the sustainable growth of cultural industries.
keywords:industry cluster  cultural industry growth  distributional heterogeneity  quantile panel data regression model
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