scholarly journals Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260985
Author(s):  
Haijuan Yan ◽  
Xiaofei Hu ◽  
Dawei Wu ◽  
Jianing Zhang
Keyword(s):  
Yangtze River ◽  
Qualitative Comparative Analysis ◽  
The Yangtze River ◽  
Entropy Weight ◽  
The Core ◽  
Development Level ◽  
Green Development ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Core Conditions

Green development is an effective way to achieve economic growth and social development in a harmonious, sustainable, and efficient manner. Although the Yangtze River Economic Belt (YREB) plays an important strategic role in China, our understanding of its spatiotemporal characteristics, as well as the multiple factors affecting its green development level (GDL), remains limited. This study used the entropy weight method (EWM) to analyze the temporal evolution and spatial differentiation characteristics of the GDL in the YREB from 2011 to 2019. Further, fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the influence path of GDL. The results showed that the GDL of the YREB increased from 2015 to 2019, but the overall level was still not high, with high GDL mainly concentrated in the lower reaches. The GDL model changed from being environmentally driven and government supported in 2011 to being environmentally and economically driven since 2014. The core conditions for high GDL changed from economic development level (EDL) to scientific technological innovation level (STIL) and environmental regulation (ER). The path for improving GDL is as follows: In regions with high EDL, effective ER, moderate openness level (OL), and high STIL are the basis, supplemented by a reasonable urbanization scale (US). In areas with low EDL, reasonable industrial structure (IS) and STIL are the core conditions for development; further, EDL should be improved and effective ER and OL implemented. Alternatively, without considering changes to EDL, improvement can be achieved through reasonable OL and US or effective ER. This study provides a new method for exploring the path of GDL and a reference for governments to effectively adjust green development policies.

Research on Core Competence of Construction Consultant Enterprises Based on the Grey Correlation Method

2014 ◽  
Vol 501-504 ◽  
pp. 2686-2690
Author(s):  
Yang Fu ◽  
Yan Kui Bi ◽  
Shu Jing Wang
Keyword(s):  
Core Competence ◽  
Correlation Method ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Grey Correlation ◽  
The Core ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Core Competence

Abstract.Expounding the connotation of the core competence of construction consultant enterprises and establishing the evaluation index system about core competence of construction consultant enterprises from five aspects which are the management,technology,economic benefit,human resources and market development.Using entropy weight method to determine the evaluation indexes weight, then applying grey correlation method to evaluate and compare the core competence by four enterprises.

scholarly journals Analysis and processing of misdiagnosis data for depression based on modified entropy weight method

2020 ◽  
Vol 214 ◽  
pp. 03033
Author(s):  
Lu Shiying ◽  
Tang Ji’an ◽  
Liu Feng ◽  
Qin Sishi ◽  
Chen Jie ◽  
...  
Keyword(s):  
Order Relation ◽  
Psychological Research ◽  
Analysis Method ◽  
Medical Field ◽  
Entropy Weight ◽  
Core Field ◽  
The Core ◽  
Entropy Transfer ◽  
Entropy Weight Method ◽  
Weight Method

Depression is always the core field of psychological research, and the analysis of misdiagnosis data of depression is also the vital content of depression research. Based on the analysis of misdiagnosis data processing, this paper adopts a order relation analysis method, to correct the problem of inconsistent entropy and entropy transfer relation (when all entropy value tend to be 1). This paper obtains multi-index comprehensive quantitative values, from various angles analysis of misdiagnosis data depression, so as to avoid subjective and one-sided evaluation results. It not only improves the rapidity and practicability of the algorithm, but also makes the analysis of misdiagnosis data more objective and accurate, which can be applied to medical field.

scholarly journals Measurement and convergence analysis of agricultural green development level in China

2021 ◽  
Vol 293 ◽  
pp. 03028
Author(s):  
He Hui ◽  
Wu Xiumin
Keyword(s):  
Hong Kong ◽  
Panel Data ◽  
Convergence Analysis ◽  
Policy Formulation ◽  
Entropy Weight ◽  
Development Level ◽  
Green Development ◽  
Weight Method ◽  
Change Trend ◽  
Countermeasures And Suggestions

Based on the panel data of 30 provinces and regions (except Taiwan, Hong Kong, Macao and Tibet) from 2010 to 2019, this paper measures the green development level of agriculture in China by using critic-entropy weight combined weight method, and then uses σ convergence and absolute β convergence methods to test its change trend. Based on the research conclusions, countermeasures and suggestions were put forward to make up for the shortcomings, promote the exchange and cooperation between provinces and regions, and narrow the differences between provinces, in order to provide reference for policy formulation and promote the green development of agriculture in China.

scholarly journals The Evaluation and Analysis of the Entropy Weight Method and the Fractional Grey Model Study on the Development Level of Modern Agriculture in Huizhou

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Dewang Li ◽  
Jianbao Chen ◽  
Meilan Qiu
Keyword(s):  
Agricultural Development ◽  
Comprehensive Evaluation ◽  
Guangdong Province ◽  
Average Level ◽  
Entropy Weight ◽  
Modern Agriculture ◽  
Development Level ◽  
Model Study ◽  
Entropy Weight Method ◽  
Weight Method

From the level of agricultural material equipment, the level of agricultural output benefit, the level of agricultural economic structure, the level of agricultural industrialization management, the level of agricultural sustainable development, and the level of rural social and economic development, based on 15 indicators, an index system for evaluating the comprehensive capacity of modern agricultural development in Huizhou was constructed. The comprehensive evaluation of the development level of modern agriculture in Huizhou from 2012 to 2018 was measured by the entropy weight method, and the evaluation was analyzed with the average level of Guangdong Province. We find out the gap between the development advantages of Huizhou and the average level of Guangdong Province, so as to promote the development of modern agriculture in Huizhou. Based on the comprehensive evaluation index of the development level of modern agriculture in Huizhou from 2012 to 2018 obtained by the entropy weight method, a fractional cumulative grey GM (1, 1) forecasting model was established, and its development ability was predicted and analyzed. The forecast result has certain guiding significance to the development of modern agriculture in Huizhou.

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