文化创意产业技术效率的空间差异及影响因素——基于异质性随机前沿模型(HSFM)的实证分析

Heterogeneity and Technical Efficiency in China's Creative Industries

文化创意产业是经济、文化、科技和创新深度融合的产物，是整个经济发展机制的重要组成部分，但当前对其技术效率的研究尚显不足。本文构建技术时变的异质性随机前沿模型，基于中国31个省（市、区）1998～2009年的面板数据，对文化创意产业的技术效率及其影响因素进行实证研究，结果表明：中国文化创意产业的技术效率整体水平不高，效率损失约为37．1％，但随时间呈小幅上升趋势；技术效率区域差异明显，东部的技术效率最高，并且区域间技术效率卅现收敛趋势；文化创意产业规模与技术效率正相关，经济发展水平、社会资本、信息化水平和科技水平对技术效率具有积极作用，而人力资本增加了技术无效率。

The Creative industry which is the compound product of economy,culture,technology and innovation is one of the most important parts of the economic growth mechanism,but there is little to know about technical efficiency of creative industries.This paper proposes a time varying heterogeneity stochastic frontier model(HSFM),considering the unobserved differences in technologies,which can reduce the bias of efficiency estimation.An application of the model is presented using China's creative industries panel data.The results show that the regional heterogeneity can be fully controlled,and the total efficiency of creative industries is low and varies with time,which the efficiency loss is about 37.1%.Furthermore,the difference in regional efficiency is large but converges with time;the efficiency of creative industries is correlated with the scale of creative industries,economic development,social capital,informatization,technology and human capital.