Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China
Abstract
:1. Introduction
- (1)
- The SD model was built, which can dynamically explain the interplay between hydropower growth and regional sustainable development.
- (2)
- The relative driving efficiency of hydropower development on regional sustainable development was examined using the Super-SBM model.
- (3)
- The technical efficiency (TE) curves, inputs, and outputs of several models were evaluated, and two essential factors for boosting regional sustainable development were filtered out.
2. Materials and Methods
2.1. Data Sources
2.2. Methodology
2.2.1. Entropy Weight Method and System Dynamics
2.2.2. Super-SBM
3. Results
3.1. Building and Testing the SD Model
3.1.1. Analysis of the Structure of the SD Model
3.1.2. SD Model Boundaries and Hypotheses
3.1.3. Illustrating and Analyzing Stock and Flow Diagrams
3.2. Calculating and Analyzing the Efficiency of Hydropower for Sustainable Regional Development
3.2.1. Measurement Metrics for the Super-SBM Model
3.2.2. Setting up Multiple Hydropower Development Modes
3.2.3. Examining Hydropower’s Effectiveness in Contributing to Regional Sustainable Development
- (1)
- Macro facilitation
- (2)
- Efficiency analysis
4. Discussion
5. Conclusions
- (1)
- The SD model emphasizes hydropower development’s influence, link, and role in regional sustainable development.
- (2)
- The influence of hydropower development on regional sustainable development is depicted in the SD model as the correlating impact of hydropower development on economic growth, social stability, environmental friendliness, etc. The findings of the simulation data comparison of different development modes demonstrate that hydropower development has a driving function in regional sustainable development, and it has a sort of complicated non-linear role.
- (3)
- The driving efficiency of hydropower development on regional sustainable development in the province from 2015 to 2022 was variable, and the technical efficiency value was maintained at a high level over 0.7.
- (4)
- Changing the input variables will influence the output variables and, consequently, the technical efficiency. Meanwhile, the province’s hydropower output and new hydropower investment are crucial variables that determine the relative driving efficiency of hydropower development for regional sustainable development.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Category | Variables | Code | Unit |
---|---|---|---|
Input | New hydropower investment | 100 million CNY | |
Installed hydropower capacity | 10,000 kW | ||
Hydropower generation | 100 million kWh | ||
Output | Total regional GDP impact value | 100 million CNY | |
Installed capacity | 10,000 kW | ||
Power generation | 100 million kWh | ||
Electricity consumption | 100 million kWh | ||
Area of soil erosion control | thousand hectares |
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Li, G.; Zhang, P.; Wang, W.; Gao, M. Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China. Sustainability 2024, 16, 8687. https://doi.org/10.3390/su16198687
Li G, Zhang P, Wang W, Gao M. Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China. Sustainability. 2024; 16(19):8687. https://doi.org/10.3390/su16198687
Chicago/Turabian StyleLi, Guofa, Pu Zhang, Weize Wang, and Meng Gao. 2024. "Scenario Simulation and Efficiency Study of Hydropower Development to Promote Regional Sustainable Development: An Empirical Analysis of a Province in Southwestern China" Sustainability 16, no. 19: 8687. https://doi.org/10.3390/su16198687