科技资源行业错配指数构建及实证分析--基于山西23个工业分行业数据  

Research on Construction of Misallocation Index of Innovative Resources in Industries: Based on Evidence from 23 Industrial Sectors in Shanxi

作　　者：郭淑芬 张晋楠 GUO Shufen;ZHANG Jinnan

机构地区：[1]山西财经大学资源型经济转型协同创新中心,山西太原030006

出　　处：《南京工业大学学报（社会科学版）》2020年第1期101-110,112,共11页Journal of Nanjing Tech University：Social Science Edition

基　　金：教育部人文社科规划基金项目“高质量发展背景下资源型地区创新要素误置及其纠偏机制研究”(19YJA790021)。

摘　　要：改进科技资源的行业错配,有利于提高所在区域的创新效率。借鉴Hsieh&Klenow的做法,运用利润最大化理论,基于柯布-道格拉斯知识生产函数构建科技资源单一行业绝对错配指数,进而参考Brandt等的思路,加入产品市场份额因素,构建科技资源行业间相对错配指数。在此基础上,对2014-2017年山西省23个工业行业的科技资源错配状态进行分析。实证结果表明:山西工业行业科技资源有错配现象,绝大多数行业的绝对错配指数较高,反映山西整体科技资源配置不足;相对错配问题也较明显,食品制造业等劳动密集型行业拥有较多的科技资源,而专业设备制造业等技术密集型行业仅配置有较少的科技资源,表明山西科技资源的行业间配置尚待优化。Optimizing the allocation of innovative resources in industries will help improving the innovation efficiency of the region.Based on the model of Hsieh & Klenow,we introduce the knowledge production function and the product market distortion index,and construct respectively the absolute misallocation index and the relative misallocation index. In addition,with the data of 23 industrial industries in Shanxi Province from 2014 to 2017,we empirically analyze the problem of misallocation.The results show that the problem of misallocation of innovative resources in Shanxi is apparent;the absolute misallocation mainly reflects the shortage of innovative resources,and the relative misallocation indicates that Shanxi’s innovative resources have not favorably flown to the sector with largest demand and market share.These findings have significant implications for policymaking about the allocation of innovative resources.

关 键 词：科技资源 区域创新效率 行业错配指数 绝对错配指数 相对错配指数 行业比较 

分 类 号：F062.4[经济管理—政治经济学]