Technology Transfer Channels and Innovation Efficiency: Empirical Evidence From Chinese Manufacturing Industries

Qian, Furong; Jiang, Hong; Hou, Bojun; Fang, Tony

doi:10.1109/tem.2020.3014731

Cited by 9 publications

(6 citation statements)

References 91 publications

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“…Capital input and labor input are two main determinants of the new knowledge production frontier, they are widely used in the existing literature (Cruz-Cázares et al ., 2013; Qian et al. , 2020).…”

Section: Methodology and Datamentioning

confidence: 99%

“…4.2.2 Innovation input. Capital input and labor input are two main determinants of the new knowledge production frontier, they are widely used in the existing literature (Cruz-C azares et al, 2013;Qian et al, 2020). Based on exiting literature and keep consistent with the measurement of innovation output (new product sales), this study uses new product development expenditures and full-time equivalent of R&D personnel to measure capital and labor input respectively.…”

Section: Financial System and Technology Innovationmentioning

confidence: 99%

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Financial system and technology innovation in an emerging economy: can innovation efficiency be increased?

Gan

2022

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PurposeThis study aims to investigate the influence of the financial system (financial development and financial structure) on firms' innovation efficiency in China.Design/methodology/approachThis study employs country level data of capital markets and financial institutions along with innovation data from 18 high-tech industries in China spanning the 2009–2016 period, and the stochastic frontier analysis (SFA) is applied to explore how financial development and financial structure affect the innovation efficiency of these industries.FindingsResults show that financial development influences firms' innovation efficiency positively and the capital-market-based financial structure has a positive impact on innovation efficiency of high-tech industries. Furthermore, when the high-tech industries are grouped into five sub-industries, the results show that financial structure had different effects on the innovation efficiency in each sub-industry.Originality/valueThis work contributes to the empirical research on considering the influential factors of innovation efficiency from the perspective of financial system. This paper also extends the existing literature by the different influences of financial system on innovation efficiency in each sub-industry of Chinese high-tech industries.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Financial System and Technology Innovationmentioning

confidence: 99%

Financial system and technology innovation in an emerging economy: can innovation efficiency be increased?

Gan

2022

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“…Technology transfer plays a crucial role in facilitating green innovation (Leiponen and Helfat, 2010 ; Hu et al, 2017 ). DTA and FTI are the two main types of technology transfer (Li et al, 2020 ; Qian et al, 2022 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The impact of technology transfer on the green innovation efficiency of Chinese high-tech industry

Zhou

Feng

2023

Front. Sociol.

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Promoting technology transfer is an important strategic measure for China to promote industrial innovation. However, there is little research exploring the influence of technology transfer on the green innovation efficiency (GIE) of China's high-tech industry (HTI). From the perspective of process, green innovation in HTI is a continuous three-stage system including research and development (R&D), commercialization, and diffusion. Therefore, we measure the GIE of China's HTI by using a three-stage network data envelopment analysis (NDEA) model considering environmental pollution and establish a series of regression models to investigate the role of the two main ways of technology transfer, domestic technology acquisition (DTA) and foreign technology introduction (FTI), in improving the GIE of HTI. The results show that the average GIE of China's HTI is 0.7727 from 2011 to 2020. Except for Jiangsu, Guangdong, Qinghai, and Xinjiang, green innovation in HTI in other provinces in China is inefficient. DTA has significantly promoted GIE in HTI. FTI has a positive impact on the GIE of HTI but is not statistically significant. The robustness test confirmed these results. This study is helpful to understand the differences between the effects of DTA and FTI on the GIE of China's HTI, to provide a basis for adjusting technology transfer policies.

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“…First, innovation input is generally measured by R&D expenditure and R&D personnel in existing research (Hong et al , 2016; Qian et al , 2020). Therefore, we used R&D capital stock ( S R&D ) and full-time equivalent of R&D personnel ( P R&D ) to measure innovation input and performed a logarithmic transformation.…”

Section: Measure and Variablesmentioning

confidence: 99%

“…We used the company's invention patent applications (IPA) and total patent applications (TPA) to measure innovation output (Hong et al , 2016; Qian et al , 2020). IPA represents the development of the most advanced technology and has the highest innovation and economic value, so it is often used as an agent of innovation output (Hong et al , 2016; Wu et al , 2017).…”

Section: Measure and Variablesmentioning

confidence: 99%

How do formal and informal institutional distance affect the reverse knowledge spillover of Chinese MNCs?

She

Jiang

2021

EJIM

Self Cite

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PurposeThis study examines the impact of outward foreign direct investment (OFDI) of Chinese multinational corporations (MNCs) and formal and informal institutional distances between the home and host countries on the innovation performance of parent company.Design/methodology/approachThis study uses panel data to conduct an empirical analysis on the data of 59 mature Chinese MNCs and their 872 overseas subsidiaries over the past 11 years and draws interesting results.FindingsResults show that OFDI and formal and informal institutional distances between countries exert a significant positive impact on the innovation performance of the parent company and formal and informal institutional distances negatively moderate the impact between OFDI and the parent company's innovation performance.Originality/valueAlthough international business research pays increasing attention to transnational differences in institutions and cultures, research on the relationship between technology spillover and distance is relatively limited. In addition, few studies consider the impact of FID and IFID on transnational reverse knowledge spillovers. This research fills these research gaps, and the conclusions have certain practical significance for multinational companies.

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Technology Transfer Channels and Innovation Efficiency: Empirical Evidence From Chinese Manufacturing Industries

Cited by 9 publications

References 91 publications

Financial system and technology innovation in an emerging economy: can innovation efficiency be increased?

Financial system and technology innovation in an emerging economy: can innovation efficiency be increased?

The impact of technology transfer on the green innovation efficiency of Chinese high-tech industry

How do formal and informal institutional distance affect the reverse knowledge spillover of Chinese MNCs?

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