Energy efficiency evaluation of high-income countries (including China)-Dynamic DEA
| Autor: | HSIEH,CHIA-LENG, 謝嘉凌 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 While mankind is constantly pursuing economic growth and social development, although it brings convenience to the people, it emits a large amount of greenhouse gases under the heavy use of energy, which produces quite serious air pollution, which not only affects people's health but also leads to ecological environment. Destruction has also made the problem of global warming increasingly serious, impacting our environment and daily life, and endangering the survival and sustainable development of our next generation. Nowadays, the impact of the environment and the negative impacts of the world's countries while promoting economic growth are the most important issues for countries to achieve balanced development in the middle. This study uses the Dynamic DEA model to assess the energy environmental efficiency of high-income countries (including China) and to explore the negative impacts of the environment to obtain a basis for energy-saving emission reduction methods or configurations. Analyze the impacts and variables of energy efficiency in 48 countries from high-income countries (including China) from 2010 to 2014. Input variables are energy consumption, capital stock, labor, and output variables are non-intended to produce carbon dioxide. Inter-period (Carry-over The variable is gross domestic product (GDP). The empirical results show that the countries with high energy efficiency are mainly due to the large consumption of energy and the inability to reduce carbon dioxide emissions, such as theArab United Nations, Bahrain, Canada, Estonia, Finland, South Korea, Kuwait, New Zealand, Oman, Qatar, Saudi Arabia,SwedenTrinidad and Tobago, and Taiwanaccount for 14 countries. How to reduce energy consumption and reduce CO2 emissions while pursuing GDP growth in various countries can effectively increase energy efficiency. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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