| 我国火力发电行业SO2排放许可限值约束作用研究 |
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| 引用本文： | 肖兴媛,代佳庆,付加锋.我国火力发电行业SO2排放许可限值约束作用研究[J].生态经济(学术版),2020(5):171-175. |
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| 作者姓名： | 肖兴媛 代佳庆 付加锋 |
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| 作者单位： | 山东科技大学测绘科学与工程学院;中国环境科学研究院;中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室 |
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| 基金项目： | 国家科技基础性工作专项“我国水泥工业环境状况调查”(2014FY110900);生态环境部部门工作经费项目“排污权和碳排放权交易相关研究”(No.CC(2018)-07-02);国家重点研发计划项目“中国区域极端天气气候事件变化检测归因方法研究”(2018YFC1507701)。 |
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| 摘 要： | 2017年,我国环保部门完成了火力发电等行业的排污许可证的核发,对我国建设排污权交易制度和实现“一证式”环境管理体制具有重要意义。围绕排污许可证中污染物的排放许可限值展开研究,应用脱钩原理对我国2003—2017年火力发电行业SO2排放与经济增长之间的脱钩关系进行分析,并基于脱钩理论,结合灰色预测方法GM(1,1)并运用情景假设法分析评价了排污许可证对我国2018—2020年火力发电行业SO2排放的约束作用强弱及其合理性,并提出建议。
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| 关 键 词： | 火力发电行业 排污许可证 脱钩理论 灰色预测模型 |
Study on the Constraint Effect of SO2 Emission Permit Limits in Thermal Power Generation Industry in China |
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| XIAO Xingyuan,DAI Jiaqing,FU Jiafeng.Study on the Constraint Effect of SO2 Emission Permit Limits in Thermal Power Generation Industry in China[J].Ecological Economy,2020(5):171-175. |
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| Authors: | XIAO Xingyuan DAI Jiaqing FU Jiafeng |
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| Institution: | (College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;Chinese Research Academy of Environmental Sciences,Beijing 100012,China 3.Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China) |
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| Abstract: | In 2017,China’s environmental protection department completed the issuance of pollutant emissions permits for industries such as thermal power generation,which is of great significance for China to establish an emissions trading system and realize a“one-certificate”environmental management system.The article conducts studies on the emission allowances of pollutants in pollutant emissions permits,and uses the principle of decoupling to explore the decoupling relationship between SO2 emissions and economic growth in China’s thermal power generation industry from 2003 to 2017.And based on the decoupling theory,combined with the grey prediction method GM(1,1)and using the scenario hypothesis,the paper analyzes and evaluates the strength and weakness and rationality of the pollutant emissions permit on SO2 emissions in China’s thermal power generation industry from 2018 to 2020,and draws conclusions and makes according recommendations. |
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| Keywords: | thermal power industry pollutant emission permit decoupling theory grey prediction model |
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