Analysis of cardinal grey relational grade and grey entropy on achievement of air pollution reduction by evaluating air quality trend in Japan

You, Mei-Li; Shu, Chi Min; Chen, Wei Ting; Shyu, Mei‐Ling

doi:10.1016/j.jclepro.2016.10.072

Cited by 61 publications

(38 citation statements)

References 23 publications

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“…(2) Calculate the entropy value of the jth indicator (e j ). Here we apply the practice in the academic world to associate entropy with atmospheric pollutants [62,63]:…”

Section: Determine the Weight Of Different Indicators By The Entropy mentioning

confidence: 99%

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Gao

Yang

et al. 2019

Atmosphere

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The evaluation of China’s air pollution and the effectiveness of its governance policies is currently a topic of general concern in the academic community. We have improved the traditional evaluation method to construct a comprehensive air quality assessment model based on China’s major air pollutants. Using the daily air pollutant data of 2015–2018, we calculated and analyzed the monthly air quality of nine cities in the Pearl River Delta of China, and conducted a comparative study on the effect of the air pollution control policies of the cities in the Pearl River Delta. We found that the air quality control policies in those nine cities were not consistent. Specifically, the pollution control policies of Guangzhou and Foshan have achieved more than 20% improvement. The pollution control policies of Dongguan and Zhaoqing have also achieved more than 10% improvement. However, due to the relative lag of the formulation and implementation of air pollution control policies, the air quality of Jiangmen, Zhuhai and Zhongshan has declined. Based on the analysis of the air quality assessment results and the effects of governance policies in each city during the study period, we propose suggestions for further improvement of the effectiveness of air pollution control policies in the region.

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“…(2) Calculate the entropy value of the jth indicator (e j ). Here we apply the practice in the academic world to associate entropy with atmospheric pollutants [62,63]:…”

Section: Determine the Weight Of Different Indicators By The Entropy mentioning

confidence: 99%

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Gao

Yang

et al. 2019

Atmosphere

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“…However, the grey relational analysis is a multifactor method to evaluates the effects between factors [10][11][12], which usually used in the grey condition which lack of function mechanism and physical prototype based on the geometric similarity of behavior factor sequences [13][14][15]. The air pollution exerted by the social economic activities is a multifactor system in conformity with the grey characteristics of air pollution system [16,17]. Hence, in this study, using the grey relational analysis on the interaction correlation between social economic and air pollution is feasible [18].…”

Section: Introductionmentioning

confidence: 99%

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Zheng

Yin

et al. 2017

Open Geosciences

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Abstract:With the rapid economic development, the serious air pollution in Beijing attracts increasing attention in the last decade. Seen as one whole complex and grey system, the causal relationship between the social development and the air pollution in Beijing has been quantitatively analyzed in this paper. By using the grey relational model, the aim of this study is to explore how the socio-economic and human activities affect on the air pollution in the city of Beijing, China. Four air pollutants, as the particulate matter with size 2.5 micrometers or less (PM 2.5 ), particulate matter with size 10 micrometers or less (PM 10 ), sulfur dioxide (SO 2 ) and nitrogen dioxide (NOx), are selected as the indicators of air pollution. Additionally, fifteen socio-economic indicators are selected to account for the regional socio-economic characteristics (economy variables, energy consumption variables, pollution emissions variables, environment and construction activity variables). The results highlight that all variables are associated with the concentrations of the four selected air pollutants, but with notable differences between the air pollutants. Most of the socio-economic indicators, such as industrial output, total energy consumption are highly correlated with PM 2.5 , while PM 10 , SO 2 , and NOx present in general moderate correlations with most of the socioeconomic variables. Contrary to other studies and reports this study reveals that vehicles and life energy do not have

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“…Benzer şekilde asfalt karışımının yüksek sıcaklıklardaki performansını değerlendirmede gri ilişkisel entropi kullanılmıştır (Gao, Wang, You ve Yang, 2018). Beş büyük Japon şehrindeki sülfür dioksit, karbon monoksit gibi hava kirliliği değerlerini hesaplamak amacıyla gri entropi ve gri ilişkisel analiz yöntemlerinden yararlanılmıştır (You, Shu, Chen ve Shyu, 2017). Malzeme performanslarını tahminlemek amacıyla gri entropi ve regresyon modelleri birlikte kullanılmıştır (Sivasankar ve Jeyapaul, 2012).…”

Section: Li̇teratür İncelemesi̇unclassified

Bi̇st Sinai̇ İşletmeleri̇ni̇n Gri̇ Entropi̇-Eatwios Bütünleşi̇k Yaklaşimi İle Performans Değerlendi̇rmesi̇

Özdağoğlu

2018

Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi

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Sanayi alanında yapılan yatırımlar bir ülkenin itici gücüdür. Yoğun rekabet ortamı dikkate alındığında, sanayi işletmelerinin performanslarının takip edilmesi önemli bir husustur. Buna yönelik olarak, işletmeler kısıtlı kaynaklarını etkin bir şekilde kullanarak daha fazla çıktı elde etmeye çalışmaktadırlar. Ancak sanayi işletmelerinin performansını değerlendirirken göz önüne alınması gereken bir çok girdi ve çıktı unsuru bulunmaktadır. Bu farklı girdi ve çıktı unsurlarını bir arada düşünerek performansı incelemek kolay olmamaktadır. EATWIOS farklı girdi ve çıktı unsurlarını birlikte inceleyerek performans değerlendirmeye imkan sağlayan yöntemlerden birisidir. Bu noktadan hareketle, bu çalışmanın amacı, gri entropi yönteminden elde edilen ağırlıkları kullanarak EATWIOS yöntemi ile BİST Sınai kategorisinde yer alan 152 işletmenin performanslarının incelenmesidir.

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Analysis of cardinal grey relational grade and grey entropy on achievement of air pollution reduction by evaluating air quality trend in Japan

Cited by 61 publications

References 23 publications

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Bi̇st Sinai̇ İşletmeleri̇ni̇n Gri̇ Entropi̇-Eatwios Bütünleşi̇k Yaklaşimi İle Performans Değerlendi̇rmesi̇

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