Beyond the “Innovation's Black-Box”: Translating R&amp;D outlays into employment and economic growth

Moutinho, Ricardo; Au‐Yong‐Oliveira, Manuel; Coelho, Arnaldo; Manso, José Pires

doi:10.1016/j.seps.2015.04.001

Cited by 16 publications

(9 citation statements)

References 110 publications

(205 reference statements)

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“…Thus, in line with its indirect approach, a direct connection with economic growth is not noticeable. Our results are consistent with Moutinho's et al (2015) report as education (university) R&D expenditure does not have any statistically signifi cant impact on economic growth.…”

Section: (11)supporting

confidence: 92%

Importance of R&D expenditure for economic growth in selected CEE countries

Szarowská¹

2018

E+M

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Section: (11)supporting

confidence: 92%

Importance of R&D expenditure for economic growth in selected CEE countries

Szarowská¹

2018

E+M

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“…This is also recognized by improving the quality of services and the effect of dollarization on state policy. However, different opinions are expressed by Ioan (2014) and Moutinho et al (2015), who suggest that market demand, research and development from the government and universities have no significant effect on employment. Ioan stated in his study that investment is a counterweight to the short-term economic growth strategy and technological capacity advancement as a new strategy in terms of optimal employment.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

How Indonesia Economics Works: Correlation Analysis of Macroeconomics in 2010 - 2019

Olilingo¹,

Putra²

2020

JAFEB

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The purpose of this study is to provide benefits and ethically-rooted managerial implications based on theoretical underpinnings through an empirical study using correlation between wages, bank credit, government expenditure on economic growth, and employment via a case study in Indonesia. Besides that, managerial implications strive to provide benefits to the government regarding the importance of establishing effective and pro-development regulations to realize economic growth and employment through the efficient role of wages, bank credit, and government spending. This study uses secondary macroeconomic data from the period 2010-2019 with analysis using the correlation test with the Pearson correlation method. Out of eight hypotheses tested, two hypotheses do not have a significant correlation. The details of the statistical results obtained the following correlations: the correlation between bank credit and wages has a significant, but indirect (negative) correlation. However, the correlation between bank credit and economic growth has a direct and significant (positive) correlation. Government expenditure correlates positively with wages, but correlates negatively with bank credit. Wages are positively correlated with economic growth, but have no significant effect on employment. Finally, economic growth has a positive correlation with government expenditure, but does not have a significant correlation with employment.

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“…Among them, 1) evaluation of regional S & T innovation efficiency focuses on evaluating the efficiency of input and output of regional science and technology innovation and analysis of redundant input and output of regional science and technology innovation [2][3][4][5][6][7][8][9]. 2) Evaluation of comprehensive and coordinated development between scientific and technological innovation, economic development, social governance and ecological environment construction mainly evaluate the coordination of regional technological innovation and economic and social development [10][11][12][13][14][15][16][17][18][19], coordination of scientific and technological innovation and ecological environment construction [20][21][22], and the coordination of technological innovation, economic development, social governance and ecological environment construction [23][24][25].…”

Section: Literature Reviewmentioning

confidence: 99%

“…1) Aiming at scientific and technological innovation index, scientific and technological financial input and scientific and technological human input are widely adopted as the index of scientific and technological input because of their quantifiability [2][3][4][5][6][7][8][9]; 2) for economic and social development indicators, the emphasis is laid on the level of economic development, industrial structure, national income level, education level, employment status and urbanization level [10][11][12][13][14][15][16][17][18][19]; 3) In view of the ecological environment construction index, the discharge of pollutants, pollution control and resources and energy stocks are highlighted [20][21][22][23][24][25]. Combined with the evaluation index system of scientific and technological innovation ability, at present, the evaluation methods of regional scientific and technological innovation capabilities contain qualitative and quantitative categories.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Evaluation System of Science and Technology Innovation Ability in Jing-Jin-Ji Region

Dan¹,

Cao²

2018

Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)

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Abstract-This author refers to the existing literature, systematically reviews the evaluation results of regional S & T innovation capability from the aspects of evaluation connotation, evaluation index and evaluation method. The existing evaluation index design mainly adopts the qualitative analysis method, and the evaluation of regional S & T innovation ability lays more emphasis on the comprehensive and coordinated development level between science and technology innovation, economic development, social governance and ecological environment construction from the scale quantity, which is not included in the quality factor of efficiency of scientific and technological innovation. Therefore, combining the statistical analysis method and the qualitative analysis method to determine the initial index system, the author includes S&T innovation efficiency into the evaluation system of S&T innovation ability through the quantitative model screening, and incorporating the efficiency of scientific and technological and determines the final index system to improve the reliability and validity of the evaluation index screening, calculate regional science and technology innovation ability from the perspective of collaborative development. Taking

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Beyond the “Innovation's Black-Box”: Translating R&D outlays into employment and economic growth

Cited by 16 publications

References 110 publications

Importance of R&D expenditure for economic growth in selected CEE countries

Importance of R&D expenditure for economic growth in selected CEE countries

How Indonesia Economics Works: Correlation Analysis of Macroeconomics in 2010 - 2019

Research on the Evaluation System of Science and Technology Innovation Ability in Jing-Jin-Ji Region

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