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 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.

A Study of Selective Assembly for Product with Multi Mating Features

2010 ◽  
Vol 44-47 ◽  
pp. 499-505
Author(s):  
Shui Long Tang ◽  
Jian Feng Yu ◽  
Yuan Li ◽  
Hai Cheng Yang
Keyword(s):  
Selective Assembly ◽  
Quality Loss Function ◽  
Entropy Weight ◽  
High Quality ◽  
High Importance ◽  
Assembly Method ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Objective Model ◽  
Weight Coefficients

In order to firstly assure the mating features of high importance during the selective assembly process, a selective assembly method considering the feature weightings is proposed. All of the features are evaluated by fuzzy entropy weight method. Their weight coefficients which present the importance are defined. Based on the dissymmetrical quality loss function and the weight coefficients, the multi-objective model for selective assembly is established. A specific generic algorithm considering target weightings is used to solve the optimization model. It can search the preference region using the Pareto dominant order to derive satisfactory solutions with high quality. Finally, the method is used for the selective assembly of a certain aero engine’s subassembly to invalidate the feasibility.

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 An empirical study on the impact of digital economy development on the upgrading and optimization of industrial structure

2021 ◽  
Vol 275 ◽  
pp. 01046
Author(s):  
Chao Zhang
Keyword(s):  
Kinetic Energy ◽  
Empirical Study ◽  
Driving Force ◽  
Industrial Structure ◽  
Digital Economy ◽  
Real Economy ◽  
High Quality ◽  
Countermeasures And Suggestions ◽  
Optimization And Upgrading ◽  
The Impact

As an important driving force and new kinetic energy, digital economy is promoting the development of economy in the direction of high quality, and brings new opportunities and challenges to the development of real economy and the upgrading and optimization of industrial structure. Therefore, this paper measures the digital economy from the two aspects of “digital industrialization” and “industrial digitization”, and selects the data of 30 provinces and cities from 2012 to 2019 to empirically study its impact on the upgrading and optimization of China’s industrial structure. Through the research, it is found that digital economy can indeed improve the level of upgrading and optimization of industrial structure. At the same time, further analysis shows that the degree and mechanism of improving the level of eastern, central and western regions will be different according to different regions. Finally, according to the research results, this paper puts forward some countermeasures and suggestions to promote the development of digital economy and the optimization and upgrading of industrial structure in China.

scholarly journals Application of Fuzzy Optimization Model Based on Entropy Weight Method in Atmospheric Quality Evaluation: A Case Study of Zhejiang Province, China

2019 ◽  
Vol 11 (7) ◽  
pp. 2143 ◽  
Author(s):  
Xiaodan Wang ◽  
Zhengyu Yang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Industrial Structure ◽  
Fuzzy Optimization ◽  
Zhejiang Province ◽  
Air Pollution Control ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method

A fuzzy optimization model based on the entropy weight method for investigating air pollution problems in various cities of Zhejiang Province, China has been proposed in this paper. Meanwhile, the air quality comprehensive evaluation system has been constructed based on the six major pollutants (SO2, NO2, CO, PM10, PM2.5 and O3) involved in China’s current air quality national standards. After analyzing the monthly data of six pollutants in 11 cities of Zhejiang Province from January 2015 to April 2018 by the above method, the authors found that, although the air quality of cities in Zhejiang Province did not reach the long-term serious pollution of Beijing, Tianjin, and Hebei, the air quality changes in the northern cities of Zhejiang were worse than those in southern Zhejiang. For example, the air quality of Shaoxing in northern Zhejiang has dropped by 14.85% in the last study period when compared with that of the beginning period, and Hangzhou, the provincial capital of Zhejiang, has also seen a decrease of 6.69% in air quality. The air quality of Lishui, Zhoushan and Wenzhou in southern Zhejiang has improved by 8.04%, 4.67% and 4.22% respectively. Apart from the geographical influence, the industrial structure of these cities is also an important cause for worse air quality. From the local areas in southern Zhejiang, cities have developed targeted air pollution control measures according to their own characteristics, including adjusting the industrial structure, changing the current energy consumption structure that heavily relies on coal, and improving laws and regulations on air pollution control, etc. In the four cities in central Zhejiang, the air quality at the end of the period (April 2018) has decreased from the beginning of the period (January 2015), given that there were no fundamental changes in their industrial structure and energy pattern.

scholarly journals Digital Economy, Technological Innovation and High-Quality Economic Development: Based on Spatial Effect and Mediation Effect

2021 ◽  
Vol 14 (1) ◽  
pp. 216
Author(s):  
Chenhui Ding ◽  
Chao Liu ◽  
Chuiyong Zheng ◽  
Feng Li
Keyword(s):  
Economic Development ◽  
Technological Innovation ◽  
Path Dependence ◽  
Digital Economy ◽  
Mediation Effect ◽  
Practical Significance ◽  
Quality Development ◽  
High Quality ◽  
Effective Manner ◽  
The Impact

Technological innovation and high-quality economic development are inevitable requirements of sustainable development, and the digital economy has gradually become a new engine to enhance technological innovation and the high-quality development of China’s economy. Deeply discussing the effect of digital economy on high-quality economic development and clarifying the mechanism behind it can effectively grant the boosting power of digital economy to China’s high-quality development, which is of great practical significance to China’s sustainable economic development. In this study, the mechanism, effect, and regional heterogeneity of the impact of the digital economy on the level of high-quality economic development in 30 Chinese provinces from 2011–2019 were measured and empirically tested using a mediating effects model and a spatial Durbin model, among others. The results showed that the overall level of digital economy and high-quality development is not high, and there were both high agglomeration and low agglomeration, with obvious spatial path dependence and spatial lock-in. Digital economy could promote the high-quality development level of the economy, and the spatial spillover effect was remarkable. In addition, the function of digital economy in promoting high-quality economic development in the eastern, central, and western regions was gradually weakened. Besides, the technological innovation was an important transmission path of digital economy to high-quality economic development. Based on these findings, it is proposed that decision-makers should strengthen digitalization efforts so that the digital economy can become a powerful tool to narrow the digital divide. Further, the dynamic and differentiated digital economy development strategy should be implemented to reduce regional development imbalances in an effective manner.

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.

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