Selection of strategies to improve energy efficiency in industry: A hybrid approach using entropy weight method and fuzzy TOPSIS

The new energy industry serves as a key driver for green growth, and unlocking its core competitiveness is essential for achieving sustainable development. This study focuses on the new energy industry in Shandong province from 2010 to 2021, constructing an evaluation system for core competitiveness across three dimensions: industrial competitive environment, industrial competitive strength, and industrial competitive potential. Utilizing the entropy weight TOPSIS method and the obstacle degree model, this paper delves into the evolving characteristics and hindering factors affecting the core competitiveness of the new energy industry in Shandong province. The findings reveal the following: (1) over the study period, the core competitiveness of the new energy industry in Shandong province underwent stages of small fluctuations, slow growth, and rapid expansion, indicating an overall upward trajectory. (2) The primary obstacle to improving core competitiveness lies in the industrial competitive environment, particularly highlighted by factors such as the number of industrial service departments, existing policies, the growth rate of investment in the new energy industry, and the number of research and development personnel in large-scale new energy enterprises.

Section: Research Methodology Entropy Weight Topsis Methodsmentioning

confidence: 99%

Evaluation of Core Competitiveness of New Energy Industry and Analysis of Obstacle Factors Taking Shandong Province as an Example

Zhang,

Yang,

et al. 2024

“…By Sustainability 2023, 15, 14841 9 of 19 calculating the entropy value and weight of the index, the importance and contribution of each index in the comprehensive evaluation are determined. This method can objectively measure the importance of indicators and give a more accurate weight value [36,37]. By comprehensively analyzing the weight values of these indicators, a comprehensive evaluation result can be obtained to evaluate the traffic situation more comprehensively and provide decision-making reference.…”

Section: Comprehensive Evaluation Of Entropy Value Methodsmentioning

confidence: 99%

Identification of Critical Links in Urban Road Network Based on GIS

Yuan,

Wang,

Fang

2023

A GIS-based method is proposed to identify critical links in urban road networks. This study utilizes a geographic information system (GIS) to evaluate the distribution of road infrastructure, road density, and network accessibility at the micro, meso, and macro levels. At the micro level, GIS is used to assess the distribution of public facilities along the roads. At the meso level, a city’s road density distribution is evaluated. At the macro level, a spatial barrier model and a transportation network model are constructed to assess the network accessibility. An inverse distance weighting method is employed to interpolate the accessibility. Furthermore, a network topology is established, and the entropy method is utilized to evaluate the sections comprehensively. The sections are ranked based on the evaluation results to identify the critical links in the urban road network. The road-network data and points of interest (POI) data from the Anning District in Lanzhou are selected for a case study, and the results indicate that the top five critical links have scores of 0.641, 0.571, 0.570, 0.519, and 0.508, respectively. Considering the three indicators enhances the accuracy of critical section identification, demonstrating the effectiveness of the proposed method. Visualizing each indicator using GIS 10.7 provides a new approach to identifying critical links in urban road networks and offers essential theoretical support for urban planning.

“…The entropy method is chosen to construct the evaluation indicator system of population and public services. Considering that the strategic core of the development in the high-tech zone of Chengdu is to respond to the uncertainty of the regional evolution with the strategy of flexible development, this paper uses the entropy method based on the difference-driven principle to obtain the weights of each indicator, to measure the development level of the population system and public services system [40]. Its applicability lies in the processing method of weighting by using the original data is more objective, and the importance of the entropy method to the discrete degree of the data elements is corresponding to the importance of the changing degree of the population conditions in the high-tech zone of Chengdu; the results presented by the use of the method are highly explanatory.…”

Section: Entropy Methodsmentioning

confidence: 99%

Regional Population and Public Services under the Framework of Sustainable Development: Evidence from a Typical High-Tech Zone in China

Wang,

He,

2023

As organic parts of regional systems, the development and connection of the population and public services are of great significance to the realization of regional sustainable development. As the typical development sample of regional systems in China, the development and connection of the population and public services in high-tech zones deserve more attention. This paper takes the population and public services of the typical high-tech zone in western China as its research object, and uses the entropy method and the coupling coordination degree model to measure the development level, correlation degree and effect of population and public services in the high-tech zone from 2012 to 2021. The empirical results show that: firstly, the development level of the population system in the high-tech zone shows a positive evolutionary trend in the sample period, and the population system development makes a stable contribution to the sustainable development in the high-tech zone. Secondly, the development level of the public services system in the high-tech zone shows a dynamic evolutionary trend in the sample period. The contribution of the public services system to the sustainable development in the high-tech zone is affected by the population system. Thirdly, the correlation degree between the population and public services systems in the high-tech zone is kept at a relatively high level during the sample period, and the two subsystems have a relatively close element fusion. At the same time, the relationship between the population and public services systems is optimized in the sample period. There is positive information exchange, valuable feedback and dynamic adjustment between the two subsystems. The research implication is to dialectically grasp the development and connection between regional population and public services systems under the framework of sustainable development.