Government R&D Investment Decision-Making in the Energy Sector: LCOE Foresight Model Reveals What Regression Analysis Cannot

2016 ◽  
Author(s):  
Jungwoo Lee ◽  
Jae-Suk Yang
2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Qing Miao ◽  
Boyang Cao ◽  
Minghui Jiang

This paper establishes the payoff models of the European option for research and development (R&D) projects with two enterprises in a research joint venture (RJV). The models are used to assess the timing and payoffs of the R&D project investment under quantified uncertainties. After the option game, the two enterprises can make optimal investment decision for the R&D project investment in the RJV.


2011 ◽  
Vol 474-476 ◽  
pp. 1435-1439
Author(s):  
Sheng Li Chen ◽  
Xiao Dong Liu

We formulate the model of R&D investment scale adjustment of defense procurement by applying game theory and contest theory and study the equilibrium of manufacturers’ R&D investment decision-making in defense procurement. We explore mainly the influence of valuation of monopolistic contract and differences among manufacturers’ abilities on investment. The conclusion shows that manufacturers’ investment equilibrium of R&D projects is what the government expects under certain conditions, however, manufacturers’ abilities effect on the investment equilibrium and makes it deviate from the government expectation. Therefore, the government must keep practically manufacturers’ anticipation about the monopolistic contact being consistent with government’s and set basic admission criterion to enable manufactures’ ability well-matched to induce the manufacturers’ investment decisions to the investment equilibrium that it desired.


Riset ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 134-142
Author(s):  
Deasy Lestary Kusnandar ◽  
Agi Rosyadi ◽  
Lucky Radi Rinandiyana

Many factors may affect investors in making investment decision, some of them are overconfidence and competence. Those factors thought to have an influence on investment decision making. This research objectives to determine the effect of competence and overconfidence on investment decision. This research is a kind of quantitative research using survey method given to beginner investor. The sampling method used  judgment sampling with the number of samples in this research are 30 respondents of beginner investor. The analysis used is MRA (Multiple Regression Analysis). The results of this study showed that competence of investor does not affect in investment decision while investor’s decision was influenced by overconfidence of investor. Keywords : competence, overconfidence. investment decision


AKUNTABILITAS ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 253-268
Author(s):  
Asep Munawar ◽  
Suryana Suryana ◽  
Nugraha Nugraha

This study aims to examine the effect of financial literacy and demographic factors on investment decision making, the research method used is a survey with a quantitative approach, using a sample of 100 students on the STIE Wikara Campus. The data analysis technique used is Multiple Regression Analysis. The results showed that financial literacy has a significant effect on investment decision making, or has a significant role on formation in investment decision making, and motivation has a significant effect on decision making on investment or has a role on decision making on investment. Other findings of this study are attitude and motivation has a significant effect on investment decision making. This shows that the attitude and motivation will provide indirect experience to someone in terms of investment decision making, because at least a person or student who has financial literacy and demographic factors will tend to influence higher investment decisions than students who do not have financial literacy in investing


2006 ◽  
Vol 12 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Nerijus Rasburskis ◽  
Juozas Gudzinskas ◽  
Jonas Gylys

The paper is based on the study of Lithuania facing the need for huge investments in both the replacement of the Ignalina nuclear power station and the replacement of district heating production units in many of the existing systems. Lithuania has a big technical potential for implementing small‐scale combined heat and power production (CHP) systems. Meanwhile, such implementation needs public regulation to become feasible not only from a socio‐economic, but also from a business economic point of view. The study focuses upon the analysis of methods for the incorporation of technical, economical and environmental considerations into large‐scale investment decision‐making in the energy sector. The research study could be a guideline for determination of national potential for high efficiency CHP not only from the technical, but both the economical and the environmental point of view. Based upon the results of the study investigation and analysis, areas for improvement in current energy sector investment decision-making processes are highlighted, and areas for further research are recommended.


2007 ◽  
Author(s):  
Enrico Rubaltelli ◽  
Giacomo Pasini ◽  
Rino Rumiati ◽  
Paul Slovic

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