| 基于熵值-主成分分析法的天津市低碳经济发展水平评价 |
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| 引用本文： | 史学飞.基于熵值-主成分分析法的天津市低碳经济发展水平评价[J].科技管理研究,2018(3). |
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| 作者姓名： | 史学飞 |
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| 作者单位： | 天津商业大学公共管理学院;天津大学管理与经济学部; |
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| 基金项目： | 国家自然科学基金资助项目"城市公共基础设施利用效益研究"(NSF 71273186) |
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| 摘 要： | 针对低碳经济发展水平评价中存在的问题,将主成分分析法与熵值法结合,建立低碳经济评价模型,分析天津市2000—2015年低碳经济的发展状况。实证结果表明,低碳环境水平、低碳产业水平和居民生活水平是天津市低碳经济发展水平的主要影响因素。依据实证分析结果,从优化低碳市场环境、调整产业结构、倡导低碳生活、鼓励低碳出行四方面提出有利于天津市发展低碳经济的对策和建议。
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| 关 键 词： | 低碳经济 主成分分析法 熵值法 |
| 收稿时间： | 2017/4/5 0:00:00 |
| 修稿时间： | 2018/1/5 0:00:00 |
Evaluation of low carbon economy development level in Tianjin based on entropy principal component analysis |
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| Abstract: | With the development of economy, the human society has paid a great deal of environmental cost and the environmental problem is becoming more and more serious. In view of the problems existing in the evaluation of low carbon economic development level, this paper combines the principal component analysis and entropy method to establish the evaluation model of low-carbon economy, and analyzes the development of low-carbon economy in Tianjin during 2000-2014. The empirical results show that the low carbon environmental level, the low carbon industry level and the living standard of the residents are the main factors affecting the development of low carbon economy in Tianjin. According to the results of empirical analysis, this article from the optimization of low carbon market environment, adjust the industrial structure, promote low-carbon life, encourage low-carbon travel four aspects, is put forward for the development of low-carbon economy in Tianjin countermeasures and suggestions. |
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| Keywords: | Low-carbon economy Principal component analysis entropy value method |
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