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有偏技术进步、要素替代与创新溢出效应——2000—2017年中国工业经验分析 被引量:2

Biased Technological Progress,Factor Substitution and Innovation Spillover Effect——Empirical Analysis of China's Industry from 2000 to 2017
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摘要 在要素替代框架下,构建一个有偏技术进步的超越对数成本函数模型,利用2000—2017年中国工业面板数据估计有偏技术进步对创新溢出效应的影响。结果发现:资本和能源有偏技术进步对创新溢出存在显著负向效应,劳动有偏技术进步对创新溢出存在显著正向效应,而中间品有偏技术进步对创新溢出的正向效应不显著。进一步将要素替代弹性变量纳入模型后发现,当资本、劳动、能源和中间品替代弹性临界阈值分别高于2.8640、5.2341、6.4532及4.1639时,有偏技术进步对创新溢出具有显著正向效应。上述发现表明,技术进步遵循具有比较优势的创新资源,本质上有利于提升创新溢出效应。 This paper constructs a logarithmic cost function model of biased technological progress under the framework of factor substitution,and estimates the impact of biased technological progress on innovation spillover effect by using China's industrial panel data from 2000 to 2017.The study found:capital and energy biased technological progress on innovation spillover has a significant negative effect,labor biased technological progress on innovation spillover has significant positive effects,while the intermediate goods had a positive effect on the partial technology progress innovation spillover is not significant.The elasticity of substitution variables into the model and found that when the capital,labor,energy and intermediate goods,the elasticity of substitution threshold were higher than that of 2.8640,5.2341,6.4532 and 4.1649,there has a significant positive effect to enhance partial technology progress on innovation spillovers.The findings of this paper show that the technological progress follows the innovation resources with comparative advantage,which is beneficial to enhance the spillover effect of innovation.
作者 宋炜 段连鑫 周勇 Song Wei;Duan Lianxin;Zhou Yong(School of Management,Xi`an University of Architecture and Technology,Xi'an 710055,China)
出处 《科技进步与对策》 CSSCI 北大核心 2020年第4期27-34,共8页 Science & Technology Progress and Policy
基金 教育部人文社会科学研究青年基金项目(17YJC790128) 陕西省社会科学基金项目(2017D043) 陕西省软科学研究项目(2018KRM172)。
关键词 有偏技术进步 创新溢出 要素替代 替代弹性 弹性阈值 Biased Technological Progress Innovation Spillover Factor Substitution Elasticity of Substitution Elastic Threshold
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