How do human capital and R&amp;D structure facilitate FDI knowledge spillovers to local firm innovation? a panel threshold approach

Guo, Rui; Ning, Lutao; Chen, Kaihua

doi:10.1007/s10961-021-09885-y

Cited by 20 publications

(25 citation statements)

References 79 publications

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Section: Methodology and Datamentioning

confidence: 99%

“…Recent studies on economic growth assume that formal skills embodied in the labor force (human capital) could have an important impact on the growth process if they give rise to more intensive R&D and a faster rate of technological progress (Bassanini and Scarpetta, 2001;Guo et al, 2021;Blanco et al, 2016). For instance, in the United States, Blanco et al (2016) document a positive effect of R&D spending on state GDP and that increasing human capital is linked to higher R&D elasticity.…”

Section: Jrf 235mentioning

confidence: 99%

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The impact of research and development (R&D) on economic growth: new evidence from kernel-based regularized least squares

Minviel

Bouheni

2022

JRF

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PurposeResearch and development (R&D) is increasingly considered to be a key driver of economic growth. The relationship between these variables is commonly examined using linear models and thus relies only on single-point estimates. Against this background, this paper provides new evidence on the impact of R&D on economic growth using a machine learning approach that makes it possible to go beyond single-point estimation.Design/methodology/approachThe authors use the kernel regularized least squares (KRLS) approach, a machine learning method designed for tackling econometric models without imposing arbitrary functional forms on the relationship between the outcome variable and the covariates. The KRLS approach learns the functional form from the data and thus yields consistent estimates that are robust to functional form misspecification. It also provides pointwise marginal effects and captures non-linear relationships. The empirical analyses are conducted using a sample of 101 countries over the period 2000–2020.FindingsThe estimates indicate that R&D expenditure and high-tech exports positively and significantly influence economic growth in a non-linear manner. The authors also find a positive and statistically significant relationship between economic growth and greenhouse gas emissions. In both cases, the effects are higher for upper-middle-income and high-income countries. These results suggest that a substantial effort is needed to green economic growth. Internet access is found to be an important factor in supporting economic growth, especially in high-income and middle-income countries.Practical implicationsThis paper contributes to underlining the importance of investing in R&D to support growth and shows that the disparity between countries is driven by the determinants of economic growth (human capital in R&D, high-tech exports, Internet access, economic freedom, unemployment rate and greenhouse gas emissions). Moreover, since the authors find that R&D expenditure and greenhouse gas emissions are positively associated with economic growth, technological progress with green characteristics may be an important pathway for green economic growth.Originality/valueThis paper uses an innovative machine learning method to provide new evidence that innovation supports economic growth.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Jrf 235mentioning

confidence: 99%

The impact of research and development (R&D) on economic growth: new evidence from kernel-based regularized least squares

Minviel

Bouheni

2022

JRF

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“…Regarded as the important resources to significantly influence the firms' operation processes, researchers have began incorporating the management of human capital and its impact on innovation (Afcha and Lucena, 2022;Salimi and Della Torre, 2022). However, the previous studies on firm innovation mainly discussed the importance of the stock of human capital, and less discussed how the structure of human capital affects firm innovation (Guo et al, 2022). Generally, human capital structure refers the difference level (Jabbour et al, 2017).…”

Section: Talent Policy and Human Capital Structurementioning

confidence: 99%

Can talent policy promote firm innovation: An empirical analysis from solar photovoltaic industry in China

Zhang

Gao

2023

Front. Energy Res.

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Supported by government policies, the innovation of China’s solar photovoltaic industry has been triggered greatly. As an important part of public policy, various talent policies have been issued to increase support for innovation. Therefore, it is essential to study the relationship between talent policy and firm innovation of Chinese solar photovoltaic industry. However, there is less empirical research on this topic. In this context, this study examined whether talent policy influences firm innovation. To examine the underlying causal mechanism, this study explored the role of human capital quality structure and human capital function structure in the relationship between talent policy and firm innovation. Based on the buffering and bridging mechanism of resource dependence theory, an empirical model of talent policy, human capital structure and firm innovation were conceptualized. Using an unbalanced panel data of 101 listed firms of the solar photovoltaic industry in China from 2008 to 2021, the random effect GLS regression was employed to empirically test the impact of talent policy on firm innovation, the mediating effects of human capital quality structure and human capital function structure, and examined the heterogeneous impact of nature of property rights and R&D intensity on the above relationships. The results show that talent policy can significantly promote firm innovation. Human capital structure plays mediating effects on the relationship between talent policy and firm innovation. Moreover, the talent policy and human capital structure’s effects on firm innovation are more significant in non-state-owned firms and firms with low R&D intensity. This study provides an important reference for promoting firm innovation through human capital structure in the construction of the talent policy.

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“…Literature on IP can be generally divided into enterprise IP, industrial IP, regional IP, and other perspectives, and the measurement criteria can be generally divided into two categories: Measurement of macro data and collection of questionnaires. When measuring enterprise IP, Revenue from new product sales [13], per capita sales revenue of new products [14,15], and a number of patent applications [16][17][18] are often used. Of course, the sales revenue of new products and the number of authorized invention patents are also used for comprehensive measurement [19].…”

Section: The Measurement Of Ipmentioning

confidence: 99%

“…In the past three years, the research literature has focused on the relationship between FDI and industrial innovation. It is believed that FDI significantly promotes industrial IP [7], and enterprise IP [13]. Literature studies on foreign R&D activities in Belgium found that spillover of foreign R&D usually occurs more frequently than FDI [10].…”

Section: Randd and Innovationmentioning

confidence: 99%

The impact of foreign R&D on the innovation performance of China’s high-tech industry and its spatial spillover effect

Han

Feng

2023

PLoS ONE

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The inflow of foreign R&D has brought vigor and vitality to the development of the high-tech industry (HTI). Using the panel data of HTI in 23 provinces (autonomous provinces and municipalities) in China from 2007 to 2016, this paper firstly calculates the Moran index of HTI’s innovation performance (IP), and finds a spatial agglomeration effect. After rigorous testing, we determine the most suitable spatial metering model. Finally, the spatial effect is further decomposed into three kinds of effects: direct effect, indirect effect, and total effect. This paper studies the impact of foreign research and development (R&D) on IP of HTI and its spatial spillover effects. According to the research, foreign R&D has a significant role in promoting IP of HTI in China, and has specific spatial spillover effects. Significantly, foreign R&D has substantial positive spillover effects of space. When IP of HTI is measured by product innovation, there is no obvious space overflow. However, panel regression showed a significant positive effect. In terms of the influence on product IP of HTI, foreign R&D plays an almost equal role as local R&D. In terms of the impact on technological IP of HTI, foreign R&D input plays a positive role. It has a spatial spillover effect, the degree of impact is lower than that of domestic R&D input. Local governments should formulate relevant policies to encourage the fluidity of technical knowledge and overcome the sticky problem of foreign R&D technical knowledge, which is an essential aspect of absorbing foreign R&D technical knowledge in the future.

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How do human capital and R&D structure facilitate FDI knowledge spillovers to local firm innovation? a panel threshold approach

Cited by 20 publications

References 79 publications

The impact of research and development (R&D) on economic growth: new evidence from kernel-based regularized least squares

The impact of research and development (R&D) on economic growth: new evidence from kernel-based regularized least squares

Can talent policy promote firm innovation: An empirical analysis from solar photovoltaic industry in China

The impact of foreign R&D on the innovation performance of China’s high-tech industry and its spatial spillover effect

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