Abstract
References
- Chang, D. S., Liu, W., & Yeh, L. T. (2013). Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance. European Journal of Operational Research, 229(2), 496-504.
- Hu, W., Guo, Y., Tian, J., Chen, L. J. R. (2019). Eco-efficiency of centralized wastewater treatment plants in industrial parks: A slack-based data envelopment analysis. Conservation, & Recycling, 141, 176-186.
- Kler, R., Gangurde, R., Elmirzaev, S., Hossain, M. S., Vo, N. V. T., Nguyen, T. V. T., & Kumar, P. N. (2022). Optimization of meat and poultry farm inventory stock using data analytics for green supply chain network. Discrete Dynamics in Nature and Society,, 1-8.
Abstract
Over the years the significance of energy has greatly increased due to the pressing need to tackle climate change and reduce our dependence on fuels. Solar power, wind energy and hydroelectric power are considered as alternatives that can meet our energy requirements. By incorporating these energy sources into our mix, we can reap benefits such as job creation and economic growth particularly in rural and remote areas. To evaluate the potential of energy production in 11 countries a study was conducted using Data Envelopment Analysis (DEA) EBM analysis. The study considered three factors; the number of patents related to renewable energy, the capacity of energy installations and the gross domestic product (GDP). The output that was analyzed focused on energy production. The countries included in this study were Australia, Brazil, China, France, Germany, Japan, Netherlands, South Korea, Spain United Kingdom, and United States. This study’s findings provide policymakers and investors with a framework for assessing each country’s capability to generate energy. This methodology offers insights that can guide policy decisions concerning energy production across different nations.
Keywords
Renewable energy Energy efficiency assessment Data envelopment analysis EBM analysis Energy production
References
- Chang, D. S., Liu, W., & Yeh, L. T. (2013). Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance. European Journal of Operational Research, 229(2), 496-504.
- Hu, W., Guo, Y., Tian, J., Chen, L. J. R. (2019). Eco-efficiency of centralized wastewater treatment plants in industrial parks: A slack-based data envelopment analysis. Conservation, & Recycling, 141, 176-186.
- Kler, R., Gangurde, R., Elmirzaev, S., Hossain, M. S., Vo, N. V. T., Nguyen, T. V. T., & Kumar, P. N. (2022). Optimization of meat and poultry farm inventory stock using data analytics for green supply chain network. Discrete Dynamics in Nature and Society,, 1-8.
Details
| Primary Language | English |
|---|---|
| Subjects | Environmental and Sustainable Processes |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | October 12, 2023 |
| Publication Date | September 30, 2023 |
| Published in Issue | Year 2023Volume: 23 |
