scholarly journals Lean Path for High-Quality Development of Chinese Logistics Enterprises Based on Entropy and Gray Models

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 641
Author(s):  
Huang ◽  
Li ◽  
Wang ◽  
Wang
Keyword(s):  
Evaluation System ◽  
Three Dimensional ◽  
Relational Model ◽  
Enterprise Management ◽  
Quality Development ◽  
Entropy Weight ◽  
High Quality ◽  
Logistics Enterprises ◽  
Order Preference ◽  
Development Evaluation

According to literature review and the data of China’s logistics listed companies, this paper firstly designs the high-quality development evaluation system of logistics enterprises and establishes the panel data model group. Secondly, the method of entropy weight-Technique for Order Preference by Similarity to an Ideal Solution（TOPSIS method）is used to synthesize and regress the indexes, and obtains that the fitting degree of the model is low, which is caused by the lack of data of some indicators in the logistics enterprises. Due to the gray nature of data information, the improved gray relational model and the three-dimensional gray relational model are constructed to study, in-depth, the strategic focus and breakthrough of high-quality development of Chinese logistics enterprises. The research finds that the innovation and the operation ability of Chinese logistics enterprises are weak, which shows specifically in the following aspects: (1) The irrational structure of the employees, the proportion of employees with a bachelor degree or above is small, and the high-education personnel fail to significantly promote the corporate performance; (2) R&D expenditure has little effect on the high-quality development of enterprises. The proportion of R&D expenses is small and cannot be translated into actual benefits, and the ability of enterprise management innovation is insufficient. According to these findings, this paper gives three lean paths for the high-quality development of China’s logistics enterprises.

scholarly journals Measuring Quality Development of Innovation Ecosystem in Yellow River Basin

2021 ◽  
Vol 308 ◽  
pp. 02006
Author(s):  
Kaidi huang
Keyword(s):  
River Basin ◽  
Evaluation System ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Quality Development ◽  
Innovation Ecosystem ◽  
High Quality ◽  
Development Evaluation ◽  
The Yellow River Basin

Promoting ecological environmental protection and high-quality development in the Yellow River Basin is an important measure and an inevitable choice to achieve sustainable social development. Based on the data of 48 prefecture-level cities in the Yellow River Basin during 2003-2018, a high-quality development evaluation system was constructed to measure the high-quality development of the innovation ecosystem in the Yellow River Basin. The results of the study show that the Yellow River Basin ecosystem has a high quality development level, with a distribution pattern of “middlestream disadvantage, downstream advantage, and upstream stability”.

scholarly journals Sustainable Performance Evaluation: Evidence from Listed Chinese Mining Corporations

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Industrial Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Sustainable Performance ◽  
Research Gap ◽  
Development Evaluation

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.

scholarly journals High quality development evaluation of western counties based on resources and environment synergy: a case study of Datong County, Qinghai Province

2021 ◽  
Vol 271 ◽  
pp. 02016
Author(s):  
Jia Li ◽  
Shengxi Ding
Keyword(s):  
Sustainable Development ◽  
Industrial Development ◽  
Quality Development ◽  
High Quality ◽  
Qinghai Province ◽  
Material Basis ◽  
Regional Sustainable Development ◽  
Development Evaluation ◽  
Countermeasures And Suggestions

Resources and environment is the carrier and material basis of regional sustainable development. Regional high-quality development must adhere to the protection of resources and environment. Based on the investigation and empirical analysis of the current situation of industrial development in Datong County of Qinghai Province, this paper puts forward some countermeasures and suggestions to promote the coordinated high-quality development of resources, environment and industry in Datong County.

scholarly journals A Literature Review of High Quality Development in Manufacturing

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Xingle Teng
Keyword(s):  
Literature Review ◽  
Evaluation System ◽  
Manufacturing Industry ◽  
Chinese Economy ◽  
Quality Development ◽  
High Quality ◽  
Stage Of Development ◽  
China’S Economy

China's economy has entered a new stage of development. High-quality manufacturing development is an important part of the high-quality development of the Chinese economy, and promoting high-quality manufacturing development is a strategic requirement in response to changes in the internal and external situation. This paper reviews and summarizes the important achievements of the research on the high quality development of manufacturing industry in recent years from four perspectives: connotation, path, evaluation system and evaluation of the high quality development of regional manufacturing industry, and points out the shortcomings of the current research.

scholarly journals Measurement and spatiotemporal analysis of high-quality development of China’s industry

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0259845
Author(s):  
Yuexiang Yang ◽  
Lei Ren ◽  
Zhihui Du ◽  
Guanqun Tong
Keyword(s):  
Spatial Correlation ◽  
Industrial Development ◽  
Spatial Clustering ◽  
Spatiotemporal Analysis ◽  
Evaluation Index System ◽  
Eastern Region ◽  
Quality Development ◽  
Entropy Weight ◽  
High Quality ◽  
Innovation Ability

Background China’s economy has been transitioning from a phase of rapid growth to high-quality development. The high-quality development of industry is the foundation of a sustainable and healthy growth of national economy, and is of great significance to improve people’s living standards, and to meet people’s needs for a better life. Methods We develop an evaluation index system of high-quality development of industry from the perspectives of industrial benefit, innovation ability, coordination ability, green ability, opening ability and sharing ability. Based on a panel data of 30 provinces in China during 1999–2018, we evaluate the level of high-quality development of industry using the entropy-weight method and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Meanwhile we select six specific years and adopt the Natural Breaks method to classify the provinces according to their levels. At last, Moran’s I index is used to analyze the spatial correlation among the provinces. Results Opening ability and innovation ability are found to have greater impacts on industrial high-quality development than other indices, and their influence has been increasing in recent years. There are large spatial and temporal differences among different provinces. Municipalities and coastal provinces are found to be at constantly high levels. The levels in the central region dropped first and then increased, however it was the opposite in the western region. In the northeast region, the levels fluctuated greatly. Overall, the high-quality development of industry among China’s provinces shows positive spatial correlation. Most provinces in China are in High-High and Low-Low clustering States. The High-High clustering type is mainly distributed in the eastern region and the Low-Low clustering type is mainly distributed in the western and central regions. Conclusion (1) Innovation ability and open ability are the most important factors. (2) Green ability has not sufficiently contributed to China’s industrial development. (3) Regional and time evolution differences are significant. (4) There is a significant and stable spatial clustering effect in the high-quality development of industry among China’s provinces.

scholarly journals Coupling Coordination of Water Governance and Tourism: Measurement and Prediction

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yuqing Geng ◽  
Mukasar Maimaituerxun ◽  
Han Zhang
Keyword(s):  
Yangtze River ◽  
Evaluation System ◽  
Solution Method ◽  
Water Governance ◽  
Ideal Solution ◽  
Entropy Weight ◽  
Gray System ◽  
Order Preference ◽  
Coordination Development ◽  
Coordination Degree

The interaction between water governance and tourism is complicated and significant so that the study of the coupling coordination between these two subsystems is important. This study analyzes the correlation mechanism of the water governance-tourism system, constructs the composite and aggregated evaluation system which consists of 5 dimensions and 15 indicators, uses information entropy weight technique for order preference by similarity to an ideal solution method to evaluate the development degrees of both water governance and tourism growth of the 11 regions in the Yangtze River Economic Zone, analyzes the two subsystems’ relation of coupling coordination temporally and spatially with the coupling coordination degree model, predicts degrees of coupling coordination of the regions for the next 4 years with gray system prediction model, and proposes specific and generalizable countermeasures. The results show that these methods can provide an effective reference to evaluate the coupling coordination development of water governance and tourism and to provide scientific and generalizable countermeasures for enhancement.

scholarly journals Economic High-quality Development Research Based on Tax Cut and Fee Reduction

2020 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Kui Xing
Keyword(s):  
Economic Development ◽  
Large Scale ◽  
Evaluation Method ◽  
Quality Development ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
High Quality ◽  
Entropy Weight Method ◽  
Countermeasures And Suggestions ◽  
Policy Optimization

<p>In order to promote high-quality economic development, China has implemented large-scale tax cut and fee reduction. In order to verify the role of tax cut and fee reduction in promoting high-quality economic development, the author uses entropy weight method and relative deviation fuzzy evaluation method to establish a multi-dimensional index system to measure the level of China's economic development. Finally, the author also puts forward countermeasures and suggestions from the perspective of tax cut and fee reduction policy optimization, which include publicizing the preferential policies of tax cut and fee reduction through multiple channels, strengthening the efforts of tax cut and fee reduction of private enterprises and comprehensively implementing the legal principles of tax and so on to provide theoretical reference for the high-quality development of China's economy. </p>

scholarly journals Impact of Industrialization on China’s Regional Energy Security in the New Era

2021 ◽  
Author(s):  
Jun Zhang ◽  
Jiangquan Wang ◽  
Linling Zhang ◽  
Lei Zhao
Keyword(s):  
Energy Security ◽  
Energy Supply ◽  
Evaluation System ◽  
Industrial Development ◽  
Positive Relationship ◽  
Quality Development ◽  
High Quality ◽  
Positive Direction ◽  
New Era ◽  
The Impact

Abstract Ensuring industrialization and energy security in a positive direction at the same time is significant to achieve high-quality development of the regional economy. This study attempts to provide two evaluation index systems for industrialization and energy security in the new era and discuss the impact of industrialization on energy security in the new era. In doing so, industrialization in the new era is evaluated by the ratio of quality expansion and quantity improvement during industrial development, then the evaluation system of energy security is put forward which has a total of 18 indexes in three dimensions, including energy supply security, energy consumption security, and energy supply-demand matching security. Entropy weight is used to evaluate industrialization and energy security levels of 30 provinces in China, then we compare respectively the changes of industrialization and energy security before and after the new era. Next, we examine the impact of industrialization on energy security in the new era for 30 provinces in China during the period from 2008 to 2017 by using the panel Tobit model. The study shows that: in the new era, the industrialization is pursuing high-quality development at a faster pace but energy security is threatened by deteriorated supply-demand matching security; there is an positive relationship between industrialization and energy security, and also supply security and consumption security,but the positive relationship between industrialization and matching security is not statistically significant; GDP per capita can inhibit energy security, green technology efficiency and the ratio of capital to labor will improve energy security. Finally, some suggestions are put forward from four aspects: building an environment-friendly development model, encouraging green technological innovation, optimizing the input structure of factors, and building a dynamic balance of energy supply and demand.

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