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互联网发展与区域创新能力非线性关系研究 被引量:21

Study on the Nonlinear Relationship between Internet Development and Regional Innovation Capability
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摘要 党的十九大报告要求全力推动互联网、大数据、人工智能与实体经济深度融合。在此背景下,明晰互联网与区域创新能力关系至关重要。基于2006-2017年中国内地30个省区市面板数据,运用门槛面板回归技术,全面探讨了互联网发展与区域创新能力间的非线性关系。研究结果表明:互联网发展对区域创新能力存在边际报酬递增的正向非线性影响,且在政府支持环境下两者存在正向、边际报酬递增的非线性关系,但在对外开放环境下,两者存在正向U型关系。进一步研究发现,互联网发展对不同创新主体的创新能力存在异质性双门槛效应,如对高校、企业呈现出正向U型影响,而对研发机构表现为正向的边际效率递减规律。依据该结论提出具有针对性的差异化“互联网+创新能力”融合策略。 The report of the 19th national congress of the communist party of China proposes to fully promote the in-depth integration of the Internet,big data,artificial intelligence and the real economy.In this context,it is crucial to clarify the relationship between the Internet and regional innovation capacity.Based on the panel data of 30 provinces in China from 2006 to 2016,the non-linear relationship between Internet development and regional innovation capability is comprehensively discussed with the threshold panel regression technology.The results show that Internet development has a non-linear effect of increasing marginal return on regional innovation ability.The two still show a positive nonlinear relationship of increasing marginal returns under the constraints of the government-supported environment,but the two show a positive u-shaped relationship under the constraints of the open environment.Further research shows that the Internet has a heterogeneous double-threshold effect on the innovation ability of different innovation subjects.Universities and enterprises show a positive u-shaped relationship,while research and development institutions show a positive law of diminishing marginal efficiency.Based on this conclusion,a targeted,effective and differentiated integration strategy of"Internet and innovation capability"is proposed.
作者 惠宁 刘鑫鑫 Hui Ning;Liu Xinxin(School of Economics and Management, Northwest University, Xi'an 710127, China)
出处 《科技进步与对策》 CSSCI 北大核心 2020年第12期28-35,共8页 Science & Technology Progress and Policy
基金 国家社会科学基金项目(17XJL004)。
关键词 互联网 创新能力 创新主体 非线性 Internet Innovation Ability Innovative Subject Nonlinear
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