Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model
Abstract
:1. Introduction
2. Industrial Economic Development Mechanism of Coal Energy-Resource-Based Cities
2.1. Industrial Development Process of Coal Energy-Resource-Based Cities
2.2. Efficiency Evaluation of the Coal Energy Industry Based on the DEA Method
- (1)
- DEA can deal with the evaluation of the relative efficiency of the energy industry in multi-input decision-making units, especially multi-output decision-making units;
- (2)
- DEA does not have to predetermine the precise input and output functions of the decision-making units, which promotes the relative effectiveness of the evaluation unit.
2.3. Industrial Economy Development Strategy of Coal Energy-Resource-Based Cities
3. Industrial Economic Transformation Plan of Coal Energy-Resource-Based Cities
3.1. Industrial Transformation Process of Coal Energy-Resource-Based Cities
- (1)
- Examine the internal and external context of the industrial economic change of cities dependent on coal as an energy source. Prior to making judgments on the industrial economic transformation of coal energy-resource-based cities, it is important to identify the key influencing elements, which entails analyzing the internal and external environmental factors that limit those decisions. Discover the benefits and drawbacks, and then place the growing industries of coal energy-resource-based cities according to the environmental conditions, choosing the appropriate industrial transformation mode. The industrial transformation environment of coal energy-resource-based cities mainly includes the internal environment and external environment [17].
- (2)
- Relocate the industrial growth of cities dependent on coal for energy. The next step is to reorient the industrial growth of coal energy-resource-based cities after weighing the benefits and drawbacks, as well as the strengths and weaknesses of this industrial transformation and development [18]. When positioning urban emerging industries, it is important to fully take into account the primary functions of the city, the level of urban development, the characteristics of urban development, the stage of economic development, and other factors according to the goals, the environment, and the unique characteristics of a city’s urban industrial development [19]. Therefore, when repositioning its industrial development, we should combine the advantages of coal-energy cities with the laws of economic development, learn from each other, and develop industries with their own characteristics and advantages.
- (3)
- The choice of industrial transformation mode for coal energy-resource-based cities. There are several choices for the mode of industrial economic transformation of coal energy-resource-based cities. If the coal energy-resource-based cities are still quite rich in resource reserves and have a good degree of mining, they can adopt the advantage extension mode to develop and establish an industrial cluster for deep processing and comprehensive utilization of coal energy. If the coal energy is nearly exhausted and the recoverable resources are insufficient, the alternative industry model can be selected to promote urban economic development [20]. While rationally developing the existing advantageous industries, seek new industries to complement each other and promote urban development. The green economy transformation model of coal energy-based cities is shown in Figure 6.
3.2. Evaluation Method for Industrial Economic Transformation of Coal-Energy Cities
- (1)
- Establish the hierarchical structure model of the coal energy industry. Using AHP to analyze the system, we should first of all organize and level the problems, and construct a hierarchical model of the coal energy industrial structure. The factors involved should be grouped. Each group should be arranged as a hierarchy in the form of the highest level, several related intermediate levels, and the lowest level.
- (2)
- Establish a judgment matrix of coal energy transformation. The information basis of AHP energy transformation evaluation is mainly people’s judgment on the relative importance of various factors at the coal energy level.
- (3)
- A single-level hierarchy sorting the largest eigenvalue’s eigenvector, W, corresponds to the judgment matrix A of coal energy transformation. The ranking weight of the relative importance of the equivalent elements at the same level to a factor at a higher level is what remains after normalization. The term “hierarchical single ranking” refers to this method. When grading hierarchical orders, the judgment matrix’s consistency must be verified, and the procedures are as follows:
- Step 1: Make a consistency indicator calculation.
- Step 2: To find the equivalent average random consistency index R, consult the table.
- Step 3: Determine the consistency ratio and evaluate it.
- (4)
- The coal energy sector’s overall ranking. The overall ranking of the coal energy industry level refers to the ranking weight process of establishing the relative importance of all components at a specific level to the overall aim.
- (5)
- Checking for consistency. Calculating a test quantity that is identical to the single ranking is necessary to assess the consistency of the calculation findings for the overall ranking of the coal energy transformation structure hierarchy. Assuming the pairwise comparison of factors related to Aj in Layer B yields the consistency index of single ranking as CI(j), (j = 1, …, m), and the corresponding average random consistency index as RI(j), CI(j), RI(j) has been obtained in the single ranking of layers, then the random consistency ratio of the overall ranking in Layer B is
4. Evaluation Model for the Economic Transformation of Coal Energy-Resource-Based Cities
4.1. Evaluation Index System for the Economic Transformation of Coal-Based Energy Cities
4.2. Improved TOPSIS Urban Economic Transformation Evaluation Model Based on Entropy Weight
- (1)
- Standardized energy transformation evaluation index value.
- (2)
- Calculate the weight of coal energy indicators.
- (3)
- Establish coal-energy-weighted normalization matrix V.
- (4)
- Calculate the coal energy’s positive ideal value and negative ideal value.
- (5)
- Determine the distance D+ and D− from the positive ideal solution and the negative ideal solution, respectively, in various years, using the coal energy transformation assessment object.
- (6)
- Determine the optimum solution’s distance Ci from the evaluation object.
4.3. Test Results of Evaluation Model for Economic Transformation of Coal-Based Energy Cities
5. Conclusions
- (1)
- This paper first analyzes the industrial development process of coal energy-resource-based cities, which manifests itself in the depletion of resources and the beginning of losses for coal enterprises. Then, the industrial efficiency of coal energy is evaluated based on the DEA method, which has the advantage of facilitating the evaluation of the relative efficiency of energy units. On this basis, the development strategy of the industrial economy of coal-energy cities is proposed, involving energy structure adjustment, industrial upgrading, and other programs.
- (2)
- This paper summarizes the industrial transformation process of coal-energy cities, including the three aspects of environmental assessment, development orientation and model selection. Then, the evaluation method of industrial and economic transformation of coal-energy cities—namely, the AHP hierarchical analysis method—is designed.
- (3)
- In this paper, a set of evaluation index systems suitable for the economic transformation of coal-based energy cities is determined, and an improved TOPSIS coal-based energy city economic transformation evaluation model based on entropy weight is constructed. Finally, based on the transformation evaluation model and sustainable development theory, the industrial economic statistics of a city over the years are calculated and analyzed. It is found that in the economic structure level, the transformation score of the driving force is increased from 0.606 to 0.871; in the level of social economic structure, the transition score of the pressure system increased from 0.476 to 0.779, and the transition score of the state system increased from 0.401 to 0.699; the TOPSIS model mainly uses the entropy value of indicators to determine the weight of indicators according to the size of the information of each indicator, and obtains objective evaluation results, thus making the determined weights more scientific.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Huang, H.; Shi, C. Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model. Energies 2023, 16, 857. https://doi.org/10.3390/en16020857
Huang H, Shi C. Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model. Energies. 2023; 16(2):857. https://doi.org/10.3390/en16020857
Chicago/Turabian StyleHuang, Hailiang, and Changfeng Shi. 2023. "Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model" Energies 16, no. 2: 857. https://doi.org/10.3390/en16020857
APA StyleHuang, H., & Shi, C. (2023). Analysis of the Path Optimization of the Sustainable Development of Coal-Energy Cities Based on TOPSIS Evaluation Model. Energies, 16(2), 857. https://doi.org/10.3390/en16020857