Inside Europe: human capital and economic growth revisited

Barcenilla‐Visús, Sara; López‐Pueyo, Carmen

doi:10.1007/s10663-017-9394-2

Cited by 5 publications

(6 citation statements)

References 37 publications

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“…Nevertheless, the magnitude and the effect of this kind of human capital in facilitating the adoption of foreign technologies are much clearer than in innovation. Consequently, our results suggest that highly skilled human capital is necessary for growth by innovation, as the recent paper by Barcenilla and López-Pueyo (2018) has demonstrated. Such a conclusion is in line with the dominant academic proposals regarding education and growth, which also underline the importance of designing appropriate policies and institutions to promote innovation and imitation in each stage of development.…”

Section: Discussionsupporting

confidence: 74%

“…Our estimation is based on Barcenilla and López-Pueyo (2018) where the logistic diffusion model (3) was estimated for EU countries. Here, we are interested in studying differences in TFP dynamics among different groups of countries inside the European Union.…”

Section: The Estimation Of the Logistic Diffusion Model 31 Econometrmentioning

confidence: 99%

“…The new framework introduces the possibility of economic divergence when some factors, such as barriers to entry or other difficulties in adopting foreign technologies, moderate the rate of technological diffusion between the leader and the followers. The sign and intensity of these impacts of human capital on growth have generated an intense debate in recent years, see, for example, Vandenbusshe, Aghion and Meghir (2006), Manca (2011), Cerina and Manca (2012), López-Pueyo et al (2017) and Barcenilla and López-Pueyo (2018). In essence, these studies try to analyse the differential impact that different kinds of human capital (skilled versus unskilled) have on different paths to growth (innovation versus imitation) in countries at different stages of development.…”

Section: Introductionmentioning

confidence: 99%

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Differences in Total Factor Productivity Growth in the European Union: The role of Human Capital by Income Level

Barcenilla¹,

Giménez²,

López‐Pueyo³

2019

Prague Economic Papers

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This article applies Oaxaca-Blinder and Shorrocks-Shapley decomposition techniques to a logistic diffusion model in order to explain the differences in Total Factor Productivity Growth (TFPG) in European Union (EU) countries for the period 1950-2011. Human capital has a dual positive effect on TFPG by boosting innovation and increasing the catch-up capacity of countries to absorb and imitate foreign technologies. Our results show that there are statistically significant differences in the intensity of these effects between high and low average income EU countries, while there are not between euro and non-euro countries. The mean difference in technical change between high and low-income EU countries is largely the result of three factors. The first is the higher average foreign technology assimilation capacity of low income countries. This is particularly true because they are further from the technological frontier and are able to benefit from the advantage of backwardness. The second is the higher direct effect of human capital on technical change in these countries, while the third factor is the higher slowdown role of proximity in them.

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Section: Discussionsupporting

confidence: 74%

Section: The Estimation Of the Logistic Diffusion Model 31 Econometrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differences in Total Factor Productivity Growth in the European Union: The role of Human Capital by Income Level

Barcenilla¹,

Giménez²,

López‐Pueyo³

2019

Prague Economic Papers

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“…On the other hand, labour has been considered as a decisive factor in the development of economies (Gennaioli et al ., 2013). Innovation is identified as a channel in the relationship between the labour market and economic growth (Vandenbussche et al ., 2006; Cinnirella and Streb, 2017; Barcenilla‐Visús and López‐Pueyo, 2018). Using European countries as background, Barcenilla‐Visús and López‐Pueyo (2018) show that skilled human capital is important to economic growth through innovation (Barcenilla‐Visús and López‐Pueyo, 2018).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

The effect of capital and labour distortion on innovation

Liang

2022

Accounting & Finance

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Factor misallocation has significant effects on productivity and innovation. Innovation is widely regarded as the most important element for economic growth. This article aims to study how capital and labour distortions influence innovation activities in China. We apply system generalised methods of moments using a natural experiment with an exogenous shock. The results indicate that the measurements for factor misallocation are significantly negatively correlated to innovation. The findings have important implications for emerging countries to improve their innovation productivity.

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“…Although the majority of empirical studies favours positive correlation between education and economic growth (Mankiw, Romer, & Weil, 1992;Barro & Sala-i-Martin, 1995;Cuaresma et al, 2018;Barcenilla-Visús & López-Pueyo, 2018), many studies indicate the insignificant effect of higher education on GDP growth (Benhabib & Spiegel, 1994;Islam, 1995;Pritchett, 2001;Yardimcioğlu, Gürdal, & ltundemir, 2014;Bulman, Eden, & Nguen, 2017), or even a negative effect (Lenkei, 2017). For example, countryspecific studies indicate that higher education contributes to economic growth in Argentina and Brazil (Boldin, Morote, & McMullenm, 1996), Greece (Pegkas & Tsamadias, 2014), Sweden (Obradović & Lojanica, 2016), and the United Kingdom (Madsen & Martin, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Student Enrolment and Output Effects in Poland: 2SLS and VAR Estimates

Żyra

2019

EBER

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The purpose of this article is to investigate the direct effects of student enrolment on industrial production and GDP while controlling other growth determinants such as physical capital investments and employment. Research Design & Methods: Educational effects on output, i.e. industrial production and gross domestic product (GDP), are estimated by means of Two-Stage Least Squares (2SLS) model, vector error-correction autoregression (VAR/VEC) model, and with the application of annual data sample for the period of 1992-2017. Findings: The study proves that there is a significant correlation between the number of students and output in Poland, especially with respect to the industrial sector. Regardless of estimators used, higher output is related to a decline in student enrolment in a long period of time. Investments in physical capital are an important factor responsible for both higher output and stronger student enrolment. Employment appears to influence neither GDP growth nor student enrolment. However, employment negatively impacts changes in industrial production. Implications & Recommendations: In the presence of an inverse correlation between economic growth and the number of students, the author argues in favour of discreet government policies aimed at boosting student enrolment in alignment with the pattern of investment activities. Contribution & Value Added: The article contributes to a better understanding of two-way causation between student enrolment and economic growth in Poland, with clear guidelines for educational policies aimed at a better match with demand for high-skilled labour in industry. Article type: research article

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Inside Europe: human capital and economic growth revisited

Cited by 5 publications

References 37 publications

Differences in Total Factor Productivity Growth in the European Union: The role of Human Capital by Income Level

Differences in Total Factor Productivity Growth in the European Union: The role of Human Capital by Income Level

The effect of capital and labour distortion on innovation

Student Enrolment and Output Effects in Poland: 2SLS and VAR Estimates

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