Interaction effects of government subsidies, R&D input and innovation performance of Chinese energy industry: a panel vector autoregressive (PVAR) analysis

被引：24

作者：

Su, Yi ^{[1
,2
]}

Li, Dan ^{[1
]}

机构：

[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China

[2] Univ Bradford, Sch Management, Bradford BD9 4JL, W Yorkshire, England

来源：

TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT | 2023年 / 35卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Energy industry; government subsidies; R&D input; innovation performance; PVAR; FIRM SIZE; PRODUCTIVITY;

D O I：

10.1080/09537325.2021.1979205

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Purpose : This article investigates the interaction effects among government subsidies, research and development (R&D) input and innovation performance of the Chinese energy industry. Methodology This article establishes a panel vector autoregressive (PVAR) model and uses the impulse response function (IRF) tool and variance decomposition of all variables to reveal the evolution process of variables' relationship in different time periods based on the data of 95 listed energy companies in China from 2010 to 2018. Findings : The results show that R&D input and innovation performance promote government subsidies; government subsidies and innovation performance promote R&D input; R&D input substantially promote innovation performance; and the dynamic interaction of the three variables differs for state-owned and non-state-owned companies. Originality : This article focuses on the Chinese energy industry and considers the ownership of companies. The PVAR model is used to establish a dynamic interactive system of variables, which considers the dynamic interaction relationship among government subsidies, R&D input and innovation performance in this specific industry.

引用

页码：493 / 507

页数：15

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