Energy, Environment, and Sustainability: A Multi-criteria Evaluation of Countries

Ayteki̇n, Ahmet

doi:10.13052/spee1048-5236.4133

Cited by 13 publications

(13 citation statements)

References 54 publications

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“…Sensitivity analysis can be performed using various approaches, such as changing the weighting coefficients of the criteria, changing the units of measurement in which the values of the alternatives are expressed, changing the scales presenting the linguistic criteria, changing the type of criteria (cost/benefit), and comparing the results obtained by various methods. Most studies, however, conduct a sensitivity analysis based on changes in the weighting coefficients of the criteria and compares similar MCDA methods' results (Biswas, 2020;Durmić et al, 2020;Božanić et al, 2021;Biswas et al, 2021a;Biswas et al, 2021b;Aytekin, 2022). For this reason, changing criteria weight coefficients and comparing similar MCDA methods' results are used to make sensitivity analysis for the validation of results.…”

Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

“…In this context, to investigate changes in criterion weighting coefficients, fourteen different sets were created. The weight values of the other criteria were changed only once for each criterion to create these sets (Aytekin, 2022). These sets, which include new criterion weight coefficients, are shown in Table 6.…”

Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

“…REF-I (Nearest Solution to References-I) (Aytekin and Durucasu, 2021), REF-II (Aytekin, 2021b), WASPAS (Weighted Aggregated Sum Product Assessment) (Zavadskas et al, 2012), PSI (Preference Selection Index) (Maniya and Bhatt, 2010), MABAC (Multi-Attributive Border Approximation Area Comparison) (Pamučar and Ćirović, 2015). The t-score conversion (Aytekin, 2022) was determined for those affected by negative values, λ=0.5 in WASPAS, and reference values in REF-I and REF-II were determined depending on the optimization aspect of the criteria in the applications performed with these methods. Figure 2 depicts the obtained results in the form of a ray graph.…”

Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

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The Effects of Sustainable Governance to Sustainable Development

Gündoğdu¹,

Ayteki̇n²

2022

Oper. Res. Eng. Sci. Theor. Appl.

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Sustainable development advocates effective and efficient planning of both present and future use of resources. Governance, on the other hand, is based on the joint and coordinated management of multidimensional variables, which is the basis of the sustainability approach. This study aims to determine how much sustainable governance influences the fulfillment of multidimensional sustainable development. Multiple regression analysis was used to determine the variables that reveal the impact of governance on development in terms of sustainability while the gray relational analysis method was used to rank the countries. The results reveal that increases in the number of people using the internet in society, as well as in the levels of developments in e-government and human development, environmental performance, and political reform, all assist countries achieve their SDGs. Furthermore, it was found that governance has a positive and significant impact on SDGs. In addition, an MCDM model consisting of BWM and gray relational analysis was used to evaluate countries based on their performance in sustainable development, the economic, governance and environment. The gray relational analysis results, on the other hand, revealed that developed and wealthy countries ranked first, while underdeveloped countries experiencing instability, such as war and conflict, ranked last. The Nordic countries outperform other countries in terms of governance and sustainability, depending on the strength of their democracy and executive capacity.

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Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

Section: Validation Of Results and Sensitivity Analysismentioning

confidence: 99%

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The Effects of Sustainable Governance to Sustainable Development

Gündoğdu¹,

Ayteki̇n²

2022

Oper. Res. Eng. Sci. Theor. Appl.

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“…High-emission countries have a limited role in renewable energy, which has a significant impact on countries with greater emissions. Aytekin (2022) applied ARAT, CRITIC, SOWIA, CRADIS, and CODAS-Sort, his study intends to analyze countries on the basis of energy, environment, and sustainability triangle. The results suggest that industrialized countries are in a better situation than developing and underdeveloped countries in terms of sustainable energy and environmental issues.…”

Section: Literature Reviewmentioning

confidence: 99%

Power Generation Sources and Carbon Dioxide Emissions in BRICS Countries: Static and Dynamic Panel Regression

Voumik

Hossain²,

Islam³

et al. 2023

SPEE

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Purpose: The threat of global warming has escalated as a result of industrialization, urbanization, population growth, and lifestyle changes in Brazil, Russia, India, China, and South Africa (BRICS). The amount of electricity generated by various sources is directly influenced by their respective carbon dioxide (CO2 ) emissions. This study’s primary goal is to determine which sources are bad for the environment and which are not. Methodology: Examining the impact of different energy generation sources on CO2 emissions using data from the BRICS. To analyze the data, pooled OLS and Generalized Method of Moments (GMM) are used, as well as Quantile Regression (QR). Findings: We found that coal and gas power generation had a positive and large influence on CO2 emissions regardless of the method used. As compared to other emissions, coal-fired energy production has a more significant impact. In all regression models, hydroelectric and renewable energy generation can reduce CO2 emissions. Originality: Identifying an empirical link between CO2 emissions and energy production sources is the study’s most significant accomplishment. To obtain solid results, the paper used a combination of QR and GMM techniques. The conclusions presented in this article have important environmental policy consequences. CO2 emissions can be reduced by reducing the consumption of fossil fuels and promoting the development of alternative energy sources such as hydroelectric, wind, and solar power.

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“…It has shown the outstanding advantage in minimizing the rank reversals [15]. Although it was found in a very short time, this method was applied by some scientists for ranking the alternatives in some studies: ranking agricultural machines [16], assessing the impact of FDI (Foreign Direct Investments) to the sustainability of the economic system [17], ranking forty-six countries based on three alternatives include energy, environment and sustainability [18], evaluating the global innovation index of the countries from the Western Balkans [19]. This method was also improved into fuzzy CRADIS method for ranking types of pear in Serbia [20], and selecting green suppliers [21].…”

Section: Introductionmentioning

confidence: 99%

Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam

Dua

2023

Eureka: PE

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Woodworking industry plays an important role in the development of Vietnam’s economy. The efficiency of woodworking process depends a lot on the machinery used in the woodworking process. Selecting the best option among a variety of machines is tedious and complex work. However, if the choice of machine is based only on the subjective opinion of the customer, it will lead to mistakes. That mistake is understood that the customer will choose the option that is not the best among the machines proposed by the supplier. Instead, machine selection must be based on all machine parameters. This is called multi-criteria decision making (MCDM). There are MCDM methods, when used it is necessary to know the weights of the criteria. However, there are also methods that do not need to know the weights of the criteria. CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) is a method that, when used, is required to weight the criteria. In contrast, this problem is unnecessary when using the CURLI (Collaborative Unbiased Rank List Integration) method. In this study, three kinds of machinery commonly used for small business in woodworking field were selected. The three kinds of machinery mentioned in this study include wood milling machine, wood saw machine, wood planer. The SPC (Symmetry Point of Criterion) method was used to calculate the weights of the criteria for each kind of machinery. This is the youngest method among the methods of determining the weights for the criteria, it was only found in 2023. The two methods include CRADIS and CURLI were used to rank the machinery kinds. The result showed that in all the surveyed situation, the best alternative is always determined consistently when using CRADIS and CURLI methods. Accordingly, three best alternatives with three different machinery kinds (milling machine, saw machine and planer) were found in this study

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Energy, Environment, and Sustainability: A Multi-criteria Evaluation of Countries

Cited by 13 publications

References 54 publications

The Effects of Sustainable Governance to Sustainable Development

The Effects of Sustainable Governance to Sustainable Development

Power Generation Sources and Carbon Dioxide Emissions in BRICS Countries: Static and Dynamic Panel Regression

Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam

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