A dynamic panel data analysis for R&amp;amp;D cooperation and economic growth

Sadraoui, Tarek; Zina, Naceur Ben

doi:10.1504/ijfip.2009.026400

Cited by 20 publications

(8 citation statements)

References 29 publications

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“…Other authors state that the effect of additionality only occurs in Finance small fi rms (Lööf & Hesmati, 2005). However, many other authors (Carboni, 2017;Choi & Lee, 2017;Liu, Li, & Li, 2016;Ali-Yrkkö, 2005;Sadraoui & Zina, 2009;Afcha & López, 2014) found that subsidy programs aimed at supporting R&D stimulate private investment in R&D in fi rms. The occurrence of substitution effect of public support of R&D therefore differs based on the region and industry in which a fi rm operates (Jin, Shang, & Xu, 2018;Capron & van Pottelsberghe, 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

The contribution of innovation actors into business R&D funding – does the substitution effect of public support work in the EU?

Pisár¹,

Ďurčeková²,

Stachová³

2020

E+M

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Innovation and R&D are becoming a prominent part of policies of countries and transnational unions such as the European Union. This is shown in strategy "Europe 2020" established by EU which prompts member states to invest 3 % of their GDP in R&D. R&D expenditure is an important indicator of innovation performance of a country. However, it is not only important to look at R&D expenditure as one aggregate indicator, but to also consider the contributions of various innovation actors to R&D funding. Since fi rms are known to be the main innovation actor that creates the biggest amount of innovation in national innovation system, the paper is focused on fi nancing of business R&D. The aim of the paper is to examine business R&D funding from resources of main innovation actors and to analyze the impact of public support of R&D on private R&D investment in EU member states. The research is based on descriptive statistics as well as panel regression and correlation analysis and cluster analysis of 28 EU member states. Our results suggest that the main source used to fund business R&D comes from business sector, followed by public support and resources from abroad. The cluster analysis resulted in four clusters based on the structure of business R&D fi nancing in the EU countries. The analysis of substitution effect of public support of R&D suggests that public support has a positive effect on private investment in business R&D, with the raise of public support for business R&D of 0.1011 % GDP resulting in 1 % increase in business funded R&D expenditure.

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Section: Literature Reviewmentioning

confidence: 99%

The contribution of innovation actors into business R&D funding – does the substitution effect of public support work in the EU?

Pisár¹,

Ďurčeková²,

Stachová³

2020

E+M

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“…Samimi and Alerasoul (2009) found negative relationship between R&D expenditure and economic growth by using the data of 30 developing countries while Inekwe (2015) found that the impact of R&D investment on economic growth is positive in upper middle-income economies and insignificant in lower income economies, and concluded that R&D investment is favourable to growth. Kaur & Singh (2016), Gocer (2013), Poorfaraj et al (2011) and Sadraoui and Zina (2009) have confirmed a positive relationship between R&D expenditure and economic growth.…”

Section: Literature Reviewmentioning

confidence: 89%

“…Ulku ( 2007) used the data of 17 OECD countries in different sectors and found that the R&D enhances the innovation in the chemicals, electrical & electronics and drugs & medicine sectors which consequently, positively affects the overall economic growth of the country. Sadraoui and Zina (2009) found active nexuses between R&D and the economic growth. They used the panel data of 23 countries for the period of 1992 to 2004 and applied the Generalised Moment Method and panel data techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

R&D Expenditure as an Accelerator of Economic Growth with Special Reference to Developing Countries

Ali

Kiani

Bashir³

et al. 2021

JBSEE

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Purpose: In this network age, among the other factors which increase economic growth, the R&D activities, a pivotal and effective factor, carried out by a country. The present study attempts to investigate the empirical R&D expenditure-economic growth nexus in developing and developed economies, and also provides useful insight about how R&D investment works to enhance the economic growth of a country. Design/Methodology/Approach: In this regard, 21 years data of top 100 economies of the world from 1995 to 2015 has been utilized. The Panel ARD Model approach has been preferred to explore the impact of R&D investment on economic growth (GDP). For construction of the estimation model, five different variables are used. In order to accomplish the results, along with analysing the data of 100 countries a whole, analysis has also been made by dividing countries into different categories and groups. Overall, the Panel ARDL test has been performed on nine different groups of countries. Findings: The results reveal that, ceteris paribus, there is a strong positive association between R&D expenditure and economic growth (GDP) in the long-run; 1% increase in GERD leads to 0.07% increase in GDP. However, the impact in the developing countries (0.043%) is lower compared to the developed OECD countries (0.27%). No impact of the R&D expenditure on economic growth is observed in the short-run. Implications/Originality/Value: The study presents some thought-provoking ideas, policy recommendations and implications for the policy makers, planners and researchers, especially in the context of developing economies.

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“…(2017) ile Wakelin (2001) yaptıkları çalışmalarda Ar-Ge yatırımlarının verimlilik üzerindeki etkilerini incelemişler ve Ar-Ge'nin verimlilik üzerinde pozitif etkisi olduğu sonucuna ulaşmışlardır. Sadraoui ve Zina (2009) yaptıkları çalışmada dinamik panel veri analizi yöntemi ile 23 ülkenin 1992-2004 yılları arasındaki verilerini incelemişler ve Ar-Ge faaliyetlerinin ekonomik büyüme üzerinde anlamlı ve pozitif bir ilişkiye sahip olduğunu göstermişlerdir.…”

Section: Literatür Taramasıunclassified

Ülkelerin İnovasyon Performanslarının Ölçümünde Entropi ve MABAC Çok Kriterli Karar Verme Yöntemlerinin Bütünleşik Olarak Kullanılması

Ayçın¹,

Çakin²

2019

Akdeniz Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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Son yıllarda ülkelerin ekonomik olarak kalkınmışlık düzeyleri Ar-Ge, inovasyon, teknoloji ve bilime verdikleri değer ile yakından ilişkilidir. Bu nedenle ülkeler sürekli olarak inovasyon ekosistemini ve ekosistemde yer alan aktörlerin etkinliklerini arttırarak Ar-Ge ve inovasyon faaliyetlerini önemli ölçüde desteklemektedir. Bu çalışmada Entropi ve MABAC yöntemleri bütünleşik olarak kullanılarak ülkelerin inovasyon performansı ölçülmüştür. Entropi yöntemi ile kriterler ağırlıklandırılmış ve yenilikçilik, fikri varlıklar, finansman ve destekler değişkenlerinin en önemli kriterler olduğu belirlenmiştir. MABAC yöntemi ile de ülkelerin inovasyon performans değerleri hesaplanmıştır. İnovasyon performansı en yüksek olan ülkelerin İsviçre, İsveç ve Danimarka, en düşük olan ülkelerin ise Ukrayna, Romanya ve Makedonya olduğu sonucuna ulaşılmıştır.

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A dynamic panel data analysis for R&D cooperation and economic growth

Cited by 20 publications

References 29 publications

The contribution of innovation actors into business R&D funding – does the substitution effect of public support work in the EU?

The contribution of innovation actors into business R&D funding – does the substitution effect of public support work in the EU?

R&D Expenditure as an Accelerator of Economic Growth with Special Reference to Developing Countries

Ülkelerin İnovasyon Performanslarının Ölçümünde Entropi ve MABAC Çok Kriterli Karar Verme Yöntemlerinin Bütünleşik Olarak Kullanılması

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