An Analysis on Influence Factor on TFP Growth of Korean ICT Industry

2018 ◽  
Vol 20 (4) ◽  
pp. 389-410
Author(s):  
Bong-Ho Choi
2019 ◽  
Vol 11 (2-2) ◽  
Author(s):  
Norfadzilah Abdul Razak ◽  
Faizuniah Pangil ◽  
Md Lazim Mohd Zin

This paper aims to investigate the convergent and construct validity between reflective and formative measurement model. The difference assessment presents a different result of the validity. This paper analysed the reflective construct followed by formative measurement of second-order constructs (i.e., social factors and willingness to share knowledge) using SmartPLS. The data were collected from 150 of the knowledge worker in the ICT industry which registered in a MSC Company. The finding confirmed the indicator and construct examined in the model were valid and reliable. Furthermore, details of discriminant validity, collinearity, tolerance, and variance influence factor were also further discussed. The implication of this finding are brought to fore.


2021 ◽  
Author(s):  
RenLi Cheng ◽  
Zizhao Lin ◽  
Yuxiang Zhu ◽  
Mi Zhou ◽  
Xin Xu

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3429
Author(s):  
Svetlana Balashova ◽  
Apostolos Serletis

This paper uncovers linkages between oil price uncertainty, total factor productivity (TFP) growth, and critical indicators of knowledge production and spillovers. It contributes to the literature by investigating the effects of oil price volatility on TFP growth, controlling for two different channels for TFP growth; benefits from the quality of the national innovation system and from adopting new technologies. We use an unbalanced panel for 28 European Union countries for the period from 1990 to 2018. We find that oil price uncertainty has a negative and statistically significant effect on TFP growth, even after we control for technological advancements and the effects of globalization. We also find that the scale of research and innovation and international trade are positive contributors to TFP growth.


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