The Role of Technology-Based Renewable Energy Investments on Macroeconomic Stability

Ubay, Gözde Gülseven; Karakuş, Hüsne

doi:10.1007/978-3-030-50131-0_6

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…They identified that research and development investments should be increased to achieve this objective. Ubay and Karakuş [36] also examined the role of technological development in the performance of the renewable energy investments. Pedroni panel cointegration analysis is taken into consideration to evaluate this situation in MINT countries (Mexico, Indonesia, Nigeria, and Turkey).…”

Section: A Literature Review For Renewable Energy Investmentmentioning

confidence: 99%

“…Factors Supported Literature Learning and Growth (F1) [36], [37] Customer (F2) [31], [32] Internal Process (F3) [27], [28] Financial (F4) [24], [25] Learning and growth is the first perspective which focuses on the technological innovation for the progressive energy projects. Renewable energy projects have high initial cost that is accepted as a significant barrier for the development of these projects.…”

Section: Table 1 Balanced Scorecard-based Factors Of Renewable Energy Investmentsmentioning

confidence: 99%

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An Extended Pythagorean Fuzzy Approach to Group Decision-Making With Incomplete Preferences for Analyzing Balanced Scorecard-Based Renewable Energy Investments

et al. 2021

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The aim of this study is to generate appropriate strategies to improve renewable energy investments. Within this framework, a novel model has also been proposed which includes three different stages. Firstly, incomplete preferences of the relation matrixes are calculated. For this purpose, 4 different decision makers evaluate the balanced scorecard-based criteria. In this stage, missing values are estimated by incomplete preferences to complete the relation matrixes. Additionally, the second stage includes the computing the fuzzy preferences by considering the consensus-based group decision-making (CGDM). The final stage is related to the calculation of the weights of the criteria by considering Pythagorean fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology. Hence, the main motivation of this study is to identify innovative strategies for the renewable energy investments with a novel multicriteria decision-making (MCDM) model based on incomplete preferences, CGDM and Pythagorean fuzzy sets. The findings indicate that learning and growth is the most important balanced scorecard-based perspective to improve the performance of renewable energy investments. Additionally, the perspective of internal process is identified as another significant factor for this situation. The biggest problem in renewable energy projects is their high initial costs. Hence, technological developments reduce the production costs of renewable energy sources. Additionally, it is also possible to increase the amount of electricity from renewable energy sources owing to the innovative technologies. Thus, renewable energy investors should follow up-to-date technological developments so that it will be possible to reduce the cost of renewable energy investments.

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Section: A Literature Review For Renewable Energy Investmentmentioning

confidence: 99%

Section: Table 1 Balanced Scorecard-based Factors Of Renewable Energy Investmentsmentioning

confidence: 99%

An Extended Pythagorean Fuzzy Approach to Group Decision-Making With Incomplete Preferences for Analyzing Balanced Scorecard-Based Renewable Energy Investments

et al. 2021

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“…Mahmood et al (2019) introduced the notion of spherical fuzzy sets to overcome this problem. This notion received significant attention by researchers given its diverse nature (Ullah et al 2020;Ali et al 2020a,b). Therefore, keeping with the view of the importance and applications of spherical fuzzy sets in real-life problems in information sciences, medical diagnosis, and decision making, we have decided to use spherical fuzzy sets to handle the problem.…”

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confidence: 99%

Consensus-based multidimensional due diligence of fintech-enhanced green energy investment projects

et al. 2021

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The purpose of this study is to provide a hybrid group decision-making approach to evaluate fintech-based financial alternatives for green energy investment projects. First, the multidimensional factors of due diligence for fintech-based financing alternatives of green energy investment projects are identified. In this regard, the balanced scorecard perspectives are considered. Next, consensus-based group decision-making analysis is performed. Second, impact-relation directions for fintech-based financing alternatives of green energy investment projects are defined. For this purpose, the spherical fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology is applied. The novelty of this study is its proposal of a new outlook to due diligence of fintech-project financing for renewable energy investments by using the group and integrated decision-making approaches with spherical fuzzy DEMATEL. The findings indicate that customer expectations are the most essential factor for the revenue sharing and rewarding models. Additionally, this study identified that organizational competency plays the most important role with respect to the peer-to-business debt model. In contrast, the conclusion was reached that financial returns have the greatest importance for the equity sharing model.

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Identifying the Best Financing Sources for Renewable Energy Companies in Latin American Countries

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Ubay

et al. 2021

Strategic Approaches to Energy Management

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The Role of Technology-Based Renewable Energy Investments on Macroeconomic Stability

Cited by 4 publications

References 15 publications

An Extended Pythagorean Fuzzy Approach to Group Decision-Making With Incomplete Preferences for Analyzing Balanced Scorecard-Based Renewable Energy Investments

An Extended Pythagorean Fuzzy Approach to Group Decision-Making With Incomplete Preferences for Analyzing Balanced Scorecard-Based Renewable Energy Investments

Consensus-based multidimensional due diligence of fintech-enhanced green energy investment projects

Identifying the Best Financing Sources for Renewable Energy Companies in Latin American Countries

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