生态文明视角下山东省工业节能减排绩效评价
发布时间:2018-11-02 15:59
【摘要】:山东省作为能源大省虽然在近年来的工业节能减排工作中已取得了一定成效,但在生态建设进程的推进中,山东省面临的节能减排任务依然严峻。对山东省工业节能减排绩效进行实时评估与动态监测,可促使其实现"十二五"规划中的节能减排目标,并能够提出针对性的措施确保节能减排工作的有效实施。文章运用基于遗传算法的投影寻踪模型,从能源消耗、污染物排放和污染物综合处理三个方面对山东省2003~2012年工业的节能减排绩效进行了评价。结果表明,山东省节能减排工作除2006年出现短暂下降外,整体处于不断上升的趋势。并根据测算结果,提出了山东省工业节能减排绩效提升的重点领域及措施。
[Abstract]:Shandong Province as a major energy province in recent years in the industrial energy conservation and emission reduction work has achieved certain results, but in the process of ecological construction, Shandong Province is still facing the task of energy saving and emission reduction is still grim. The real-time evaluation and dynamic monitoring of industrial energy saving and emission reduction performance in Shandong Province can promote the realization of the energy saving and emission reduction target in the 12th Five-Year Plan, and can put forward targeted measures to ensure the effective implementation of energy saving and emission reduction work. Based on the projection pursuit model based on genetic algorithm, this paper evaluates the energy saving and emission reduction performance of Shandong Province industry from 2003 to 2012 from three aspects: energy consumption, pollutant emission and pollutant comprehensive treatment. The results show that the energy saving and emission reduction work in Shandong Province is in an increasing trend except for a brief decline in 2006. According to the calculation results, the paper puts forward the key areas and measures to improve the performance of industrial energy saving and emission reduction in Shandong Province.
【作者单位】: 中国石油大学(华东)经济管理学院;吉林大学生物与农业工程学院;
【基金】:山东省自然科学基金联合专项“生态文明建设进程中山东省科技信息扩散模式、吸纳效率及动态匹配机制研究”(ZR2013GL007) 2013年度青岛市社会科学规划项目(QDSKL130110) 国家自然科学基金项目(71071069)
【分类号】:F427;X322
[Abstract]:Shandong Province as a major energy province in recent years in the industrial energy conservation and emission reduction work has achieved certain results, but in the process of ecological construction, Shandong Province is still facing the task of energy saving and emission reduction is still grim. The real-time evaluation and dynamic monitoring of industrial energy saving and emission reduction performance in Shandong Province can promote the realization of the energy saving and emission reduction target in the 12th Five-Year Plan, and can put forward targeted measures to ensure the effective implementation of energy saving and emission reduction work. Based on the projection pursuit model based on genetic algorithm, this paper evaluates the energy saving and emission reduction performance of Shandong Province industry from 2003 to 2012 from three aspects: energy consumption, pollutant emission and pollutant comprehensive treatment. The results show that the energy saving and emission reduction work in Shandong Province is in an increasing trend except for a brief decline in 2006. According to the calculation results, the paper puts forward the key areas and measures to improve the performance of industrial energy saving and emission reduction in Shandong Province.
【作者单位】: 中国石油大学(华东)经济管理学院;吉林大学生物与农业工程学院;
【基金】:山东省自然科学基金联合专项“生态文明建设进程中山东省科技信息扩散模式、吸纳效率及动态匹配机制研究”(ZR2013GL007) 2013年度青岛市社会科学规划项目(QDSKL130110) 国家自然科学基金项目(71071069)
【分类号】:F427;X322
【参考文献】
相关期刊论文 前9条
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2 何伟;董琳;秦宁;何s標,
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