scholarly journals Information Content Measurement of ESG Factors via Entropy and Its Impact on Society and Security

Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 391
Author(s):  
Hossein Hassani ◽  
Stephan Unger ◽  
Mohammad Reza Entezarian
Keyword(s):  
Information Content ◽  
Information Gain ◽  
Entropy Weight ◽  
Noisy Information ◽  
Entropy Information ◽  
The Social ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Difference ◽  
The Impact

We conducted a singular and sectoral vulnerability assessment of ESG factors of Dow-30-listed companies by applying the entropy weight method and analyzing each ESG factor’s information contribution to the overall ESG disclosure score. By reducing information entropy information, weaknesses in the structure of a socio-technological system can be identified and improved. The relative information gain of each indicator improves proportionally to the reduction in entropy. The social pillar contains the most crucial information, followed by the environmental and governance pillars, relative to each other. The difference between the social and economic pillars was found to be statistically not significant, while the differences between the social pillar, respective to the economic and governance pillars were statistically significant. This suggests noisy information content of the governance pillar, indicating improvement potential in governance messaging. Moreover, we found that companies with lean and flexible governance structures are more likely to convey information content better. We also discuss the impact of ESG measures on society and security.

scholarly journals The influence of digital economy on the upgrading of industrial structure

2021 ◽  
Vol 275 ◽  
pp. 01047
Author(s):  
Siyu Liu
Keyword(s):  
Industrial Structure ◽  
Empirical Test ◽  
Digital Economy ◽  
Practical Significance ◽  
Entropy Weight ◽  
High Quality ◽  
Starting Point ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

Digital economy is an important starting point for China’s high-quality economic development, which may have an impact on the level of industrial structure. This paper calculates the development level of digital economy by entropy weight method, selects the relevant data of 31 provinces and cities in China from 2012 to 2019, and uses the method of empirical test to analyze the impact of the development of digital economy on the upgrading of China’s industrial structure. The result shows that the development of digital economy can promote the upgrading of China’s overall industrial structure, which is significant at the level of 1%. Further research shows that the development of digital economy has regional heterogeneity on the upgrading of industrial structure in the eastern, central and western regions of China. The research of this paper has important practical significance for the high-quality development of China’s economy.

scholarly journals Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis

2019 ◽  
Vol 11 (17) ◽  
pp. 4556 ◽  
Author(s):  
Boyang Sun ◽  
Xiaohua Yang ◽  
Yipeng Zhang ◽  
Xiaojuan Chen
Keyword(s):  
Data Envelopment Analysis ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Shortage ◽  
Data Envelopment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Use Efficiency ◽  
The Impact

China’s water shortage problem is becoming increasingly severe. Improving water use efficiency is crucial to alleviating China’s water crisis. This paper evaluates the water use efficiency of 31 provinces and municipalities in China by using the data envelopment analysis (DEA) method. When the usual DEA model has too many indexes selected, it will cause the majority of the decision making units (DMUs) efficiency values be one, which leads to invalid evaluation results. Therefore, by using the entropy weight method, a new synthetic set of indexes is constructed based on the original indexes. The new synthetic set of indexes retains the full information of the original indexes, and the goal of simplifying the number of indexes is achieved. Simultaneously, by empowering the original indexes, the evaluation using synthetic indexes can also avoid the impact of industrial structure and labor division on water use efficiency. The results show that in China’s northeastern grain producing areas, water use efficiency is higher due to the high level of agricultural modernization. The provinces in the middle reaches of the Yangtze River have the lowest water use efficiency due to water pollution and water waste. In general, China’s overall water use efficiency is low, and there is still much room for improvement.

scholarly journals Development of a Sustainability Assessment Algorithm and Its Validation Using Case Studies on Cryogenic Machining

2020 ◽  
Vol 4 (2) ◽  
pp. 42 ◽  
Author(s):  
Prathamesh Bhat ◽  
Chetan Agrawal ◽  
Navneet Khanna
Keyword(s):  
Case Studies ◽  
Sustainability Assessment ◽  
Decision Makers ◽  
Machining Processes ◽  
Entropy Weight ◽  
Proposed Model ◽  
Order Preference ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

This work presents a comprehensive structure for evaluating the sustainability of machining processes. Industries can contribute towards developing a sustainable future by using algorithms that evaluate the sustainability of their processes. Inspired by the literature, the proposed model involves a set of metrics that are critical in evaluating the impact of a process on society, environment, and economy. The flexibility of this model allows decision-makers to use the available responses to identify the most favorable process. The entropy weight method was suggested for objectively calculating the weights of each indicator. A multi-criteria decision-making method i.e., Technique for Order Preference based on Similarity to Ideal Solution (TOPSIS), was used to rank processes in the decreasing order of their sustainability. The proposed algorithm was successfully validated with case studies from the published literature. A MATLAB code was also created so that industries may expeditiously apply this method to evaluate the sustainability of machining processes.

scholarly journals A Computational Model Based on Shannon Entropy to Analyze Social Development in South America

2019 ◽  
Vol 8 (11) ◽  
pp. 2515-2522
Keyword(s):  
South America ◽  
Social Development ◽  
Evaluation Criteria ◽  
South American ◽  
Entropy Weight ◽  
The Social ◽  
Qualitative Variables ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Using Data

In the world, the level of social development of a country is an important factor since it guarantees the improvement of the quality of life in its population. In this study, we evaluated social development using quantitative and qualitative variables to measure the level of development of South American countries. The entropic-weight method, from Shannon's entropy theory, was applied for the purpose of obtaining a classification showing the social development level in the countries on the list. To calculate the weight of the criteria, the entropy-weight method was applied, followed by the classification of the countries studied in concordance with a weighted sum. In this work, thirteen criteria and ten countries were studied, using data from the year 2016. The results showed that the two best ranked countries were Chile and Uruguay, and the two worst ranked countries were Venezuela and Colombia. In addition, an informative map of social development in the mentioned countries, which varies in a scale of colors, was presented. As a result, the method used in the present article revealed interesting results and it could be used on other social studies considering additional evaluation criteria. The results of this work could serve to governments of South America countries to make the best decision on social problems.

scholarly journals An Evaluation Model for The Impact of Climate Change on Regional Instability

2018 ◽  
Vol 175 ◽  
pp. 04022
Author(s):  
Jia-Yi Lie ◽  
Hong-Yu Duan ◽  
Dong Chen
Keyword(s):  
Climate Change ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Climate Change Impact Assessment ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Change Impact ◽  
The Impact ◽  
Hierarchy Process

The complication that climate change brings about has been an important issue in recent decades. In this paper, we attempt to find the inner connection between climate change and regional instability, and finally build a novel evaluation model about it. By innovatively utilizing Analytic Hierarchy Process and Entropy Weight Method combined, our model can produce a reliable climate change impact assessment. Empirical results on states of different stability provide strong evidence that our model possesses high feasibility and accuracy in practical use.

scholarly journals Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xinyi Wang ◽  
Guang Yang ◽  
Qi Wang ◽  
Junzhi Wang ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Coal Seam ◽  
Source Identification ◽  
Fuzzy Variable ◽  
Water Source ◽  
Impact Factors ◽  
Water Volume ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

According to the No. 13 Mine of Pingdingshan Coal Co. Ltd., the fault dimension of the study area is calculated based on fractal theory. The four impact factors such as water inflow, water pressure, water inrush coefficient, and fault fractal dimension of 21 water boreholes are used as evaluation indices, and a mathematical model for identifying the water-filled source of the coal seam floor is established by coupling an entropy weight method and fuzzy variable set theory. The model is used to identify the water-filled source of 7 boreholes, which provide a reliable reference for the identification of the water-filled source. According to the calculation result of the entropy weight method, the water volume per unit of the borehole and the groundwater pressure have a significant impact on the water source identification, which accounts for 89.93% of the weight value. In the fuzzy variable set model, when the distance parameter p is 1 and the optimization criterion parameter α is 2, the accuracy of the water sample identification of the water source category to be identified is 85.71%, which is at a high recognition level. The more typical the impact factors selected and the more samples, the accuracy of water-filled source identification is much higher.

A fire risk assessment method based on the combination of quantified safety checklist and structure entropy weight for shopping malls

2021 ◽  
pp. 1748006X2098737
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu
Keyword(s):  
Evaluation Method ◽  
Research Result ◽  
Fire Risk ◽  
Living Standard ◽  
Shopping Malls ◽  
Entropy Weight ◽  
Essential Components ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Laws And Regulations

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.

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