Grey relational analysis between energy consumption and economic growth

Köse, Erkan; Burmaoğlu, Serhat; Kabak, Mehmet

doi:10.1108/gs-06-2013-0010

Cited by 24 publications

(11 citation statements)

References 25 publications

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“…Pai et al applied grey relation analysis to evaluate the effects of transportation activities on air quality variations in Japan from 1974 to 2004 [ 26 ]. In the study of [ 27 ], Turkey’s EC and gross domestic product (GDP) relation was analyzed. The relative importance of energy components on GDP for Turkey were found out.…”

Section: Methodsmentioning

confidence: 99%

Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors

Cao

Liu

2017

IJERPH

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The transportation sector is a complex system. Collecting transportation activity and the associated emissions data is extremely expensive and time-consuming. Grey Relational Analysis provides a viable alternative to overcome data insufficiency and gives insights for decision makers into such a complex system. In this paper, we achieved three major goals: (i) we explored the inter-relationships among transportation development, energy consumption and CO2 emissions for 30 provincial units in China; (ii) we identified the transportation development mode for each individual province; and (iii) we revealed policy implications regarding the sustainable transportation development at the provincial level. We can classify the 30 provinces into eight development modes according to the calculated Grey Relational Grades. Results also indicated that energy consumption has the largest influence on CO2 emission changes. Lastly, sustainable transportation policies were discussed at the province level according to the level of economy, urbanization and transportation energy structure.

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Section: Methodsmentioning

confidence: 99%

Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors

Cao

Liu

2017

IJERPH

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“…Then k represents the number of evaluation indexes, and j represents the number of dimensionless and weight combination schemes. The variance of each combination scheme can be calculated by (22).…”

Section: The Objective Weight Optimization Model Based Onmentioning

confidence: 99%

“…The steps of grey relational model are as follows [22,23]. First, the optimal value of each index is selected as the reference sequence C 0 .…”

Section: Comprehensive Evaluation Model Of Clean Energy Development Lmentioning

confidence: 99%

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Zhang

Pang

2019

Mathematical Problems in Engineering

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To promote the energy structure adjustment and clean energy development, this paper evaluates the global clean energy development level. Firstly, the global clean energy development level evaluation index system is established based on index system construction principles; secondly, the comprehensive weight is determined based on additive integration model, which is used to combine subjective and objective weights. Moreover, the variance minimal optimization method is used to select the combination scheme of dimensionless method and objective weight method, which could avoid the influence from subjective selection of method and enhance the stability of weighting. Thirdly, grey relational degree method and logarithmic range method are applied to evaluate the global clean energy development level. Then using the compatibility degree maximization and difference degree minimization model considers the compatibility and difference degree of the various comprehensive evaluation methods results and chooses the result with the maximization compatibility degree and minimization difference degree as the final evaluation scheme, which makes the evaluation result more scientific, robust, and reasonable. Finally, this paper empirically analyzes the 66 countries in the world to verify the effectiveness of the method and evaluates the development level of the region according to the spatial distribution map of the development level.

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“…After the assessment indicator weights were achieved, gray relational analysis was used to evaluate mine safety. Gray relational analysis is an important part of gray system theory [ 32 ], which has become very popular in many areas, such as green supplier selection [ 33 ], energy consumption, economic growth [ 34 ], and decision-making [ 35 ]. The relative importance of energy components on gross domestic product for Turkey had been obtained based on gray relational analysis, and the results showed that the most important energy sources for Turkey were oil and renewables [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Mine safety assessment using gray relational analysis and bow tie model

2018

PLoS ONE

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Mine safety assessment is a precondition for ensuring orderly and safety in production. The main purpose of this study was to prevent mine accidents more effectively by proposing a composite risk analysis model. First, the weights of the assessment indicators were determined by the revised integrated weight method, in which the objective weights were determined by a variation coefficient method and the subjective weights determined by the Delphi method. A new formula was then adopted to calculate the integrated weights based on the subjective and objective weights. Second, after the assessment indicator weights were determined, gray relational analysis was used to evaluate the safety of mine enterprises. Mine enterprise safety was ranked according to the gray relational degree, and weak links of mine safety practices identified based on gray relational analysis. Third, to validate the revised integrated weight method adopted in the process of gray relational analysis, the fuzzy evaluation method was used to the safety assessment of mine enterprises. Fourth, for first time, bow tie model was adopted to identify the causes and consequences of weak links and allow corresponding safety measures to be taken to guarantee the mine’s safe production. A case study of mine safety assessment was presented to demonstrate the effectiveness and rationality of the proposed composite risk analysis model, which can be applied to other related industries for safety evaluation.

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Grey relational analysis between energy consumption and economic growth

Cited by 24 publications

References 25 publications

Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors

Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Mine safety assessment using gray relational analysis and bow tie model

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