本文主要研究内容
作者王文熹（2019）在《基于环境学习曲线的工业大气污染物减排潜力研究》一文中研究指出：工业大气污染已经逐渐成为制约中国可持续发展和生态文明建设的关键问题。然而,在工业大气污染物的治理过程中,却面临着大气污染物减排与经济发展之间的矛盾。在绿色发展的重要趋势下,如何制定更为精准的大气污染物减排方案,降低减排与经济发展之间的冲突,是一个亟待解决的问题。有鉴于此,本文通过构建环境学习曲线科学地描述了工业大气污染物减排的环境成本,并在此基础上深度挖掘工业大气污染物的减排潜力,为实现绿色发展提供理论借鉴。本文首先界定了环境学习曲线的基本概念,借助于生产函数及传统学习曲线,证明了环境学习曲线在理论上的存在性和合理性,并分析了环境学习曲线的三个特点。从强度效应和替代效应入手,分析了环境学习对工业大气污染物排放强度的影响。在此基础上,构建了基于环境学习曲线的工业大气污染物减排的理论分析框架,提出了四个研究问题,即环境学习曲线的理论分析与实证检验问题、环境学习对工业大气污染物排放强度的作用路径问题、工业大气污染物排放强度与下降潜力问题、工业大气污染物总量减排潜力测度与变化趋势问题,为后续章节的研究奠定了理论基础。在理论分析的基础上,运用回归分析法检验了环境学习曲线与工业大气污染物排放强度的关系。首先,以环境学习曲线的理论模型为基础,构建了环境学习曲线的计量模型,并利用我国各地区的工业面板数据验证了环境学习曲线的存在性。其次,从总体和区域两个方面分析了环境学习对工业大气污染物排放强度的影响效应。最后,通过构建中介效应模型检验了环境学习的作用路径,即环境学习如何影响工业大气污染物排放强度。研究表明,环境学习与工业大气污染物排放强度之间存在因果关系。干中学、研发中学及引进中学与工业大气污染物排放强度之间呈现倒U型关系,即随着环境学习的增强,工业大气污染物排放强度呈现先上升后下降的趋势。具体来说,最先达到拐点的是东部,其后依次为中部、东北和西部地区。干中学、研发中学及引进中学均会通过提高能源效率来促进工业大气污染物排放强度的降低;干中学和引进中学均会通过能源结构影响工业大气污染物排放强度,但是由于干中学和引进中学对能源结构的锁定效应使得该路径下的影响系数为正值。构建了基于环境学习曲线的工业大气污染物排放强度下降潜力的模型。在工业大气污染物排放强度下降潜力测度指标的基础上,构建了工业大气污染物总量减排潜力的测度模型。通过以上模型的建立,分别对我国总体及各地区的工业大气污染物排放强度的下降潜力值及总量减排的潜力值进行了测度。研究结果表明:我国总体及各地区工业大气污染物排放强度的下降空间为26.5%--33.5%。其中,北京、上海、海南、辽宁和黑龙江(按照从低到高的顺序)为工业大气污染物排放强度下降潜力最小的5个省份。山西、河南、江西、湖北和陕西(按照从高到低的顺序)为工业大气污染物排放强度下降潜力最大的5个省份。东部地区的省份,如河北和山东是我国工业大气污染物总量减排潜力较大的地区。构建了基于工业产出、环境学习、环境规制、工业结构、能源结构等要素的工业大气污染物减排情景。按照环境规制强度以及工业产出发展水平,将各种要素的预测状态组合成六种不同的发展情景,即BAU情景、BSE情景、LWE情景、LSE情景、HWE情景和HSE情景。根据工业大气污染物排放强度的下降潜力和总量减排潜力公式,对各省份六种不同情景下的工业大气污染物排放强度下降潜力和总量减排潜力进行了分析。研究结果表明,六种情景下工业大气污染物排放强度的下降潜力和总量减排潜力按照从低到高的顺序依次为:LSE情景、HSE情景、BSE情景、HWE情景、BAU情景和LWE情景,也就是说降低工业大气污染物排放强度和排放总量有赖于环境规制强度的提高。我国工业大气污染物排放强度下降潜力较大的区域为中西部地区。山西、湖北、河北、江苏、山东、河南、贵州、福建、湖南和广西等地区是我国工业大气污染物总量减排潜力较大的地区。在BAU情景、LWE情景和LSE情景下,山西省的总量减排潜力无论是从减排幅度还是减排比例方面来说都是最大的。在此基础上,提出了我国工业大气污染物减排的对策,用以促进工业大气污染物减排,加快我国生态文明建设和绿色发展目标的实现。
Abstract
gong ye da qi wu ran yi jing zhu jian cheng wei zhi yao zhong guo ke chi xu fa zhan he sheng tai wen ming jian she de guan jian wen ti 。ran er ,zai gong ye da qi wu ran wu de zhi li guo cheng zhong ,que mian lin zhao da qi wu ran wu jian pai yu jing ji fa zhan zhi jian de mao dun 。zai lu se fa zhan de chong yao qu shi xia ,ru he zhi ding geng wei jing zhun de da qi wu ran wu jian pai fang an ,jiang di jian pai yu jing ji fa zhan zhi jian de chong tu ,shi yi ge ji dai jie jue de wen ti 。you jian yu ci ,ben wen tong guo gou jian huan jing xue xi qu xian ke xue de miao shu le gong ye da qi wu ran wu jian pai de huan jing cheng ben ,bing zai ci ji chu shang shen du wa jue gong ye da qi wu ran wu de jian pai qian li ,wei shi xian lu se fa zhan di gong li lun jie jian 。ben wen shou xian jie ding le huan jing xue xi qu xian de ji ben gai nian ,jie zhu yu sheng chan han shu ji chuan tong xue xi qu xian ,zheng ming le huan jing xue xi qu xian zai li lun shang de cun zai xing he ge li xing ,bing fen xi le huan jing xue xi qu xian de san ge te dian 。cong jiang du xiao ying he ti dai xiao ying ru shou ,fen xi le huan jing xue xi dui gong ye da qi wu ran wu pai fang jiang du de ying xiang 。zai ci ji chu shang ,gou jian le ji yu huan jing xue xi qu xian de gong ye da qi wu ran wu jian pai de li lun fen xi kuang jia ,di chu le si ge yan jiu wen ti ,ji huan jing xue xi qu xian de li lun fen xi yu shi zheng jian yan wen ti 、huan jing xue xi dui gong ye da qi wu ran wu pai fang jiang du de zuo yong lu jing wen ti 、gong ye da qi wu ran wu pai fang jiang du yu xia jiang qian li wen ti 、gong ye da qi wu ran wu zong liang jian pai qian li ce du yu bian hua qu shi wen ti ,wei hou xu zhang jie de yan jiu dian ding le li lun ji chu 。zai li lun fen xi de ji chu shang ,yun yong hui gui fen xi fa jian yan le huan jing xue xi qu xian yu gong ye da qi wu ran wu pai fang jiang du de guan ji 。shou xian ,yi huan jing xue xi qu xian de li lun mo xing wei ji chu ,gou jian le huan jing xue xi qu xian de ji liang mo xing ,bing li yong wo guo ge de ou de gong ye mian ban shu ju yan zheng le huan jing xue xi qu xian de cun zai xing 。ji ci ,cong zong ti he ou yu liang ge fang mian fen xi le huan jing xue xi dui gong ye da qi wu ran wu pai fang jiang du de ying xiang xiao ying 。zui hou ,tong guo gou jian zhong jie xiao ying mo xing jian yan le huan jing xue xi de zuo yong lu jing ,ji huan jing xue xi ru he ying xiang gong ye da qi wu ran wu pai fang jiang du 。yan jiu biao ming ,huan jing xue xi yu gong ye da qi wu ran wu pai fang jiang du zhi jian cun zai yin guo guan ji 。gan zhong xue 、yan fa zhong xue ji yin jin zhong xue yu gong ye da qi wu ran wu pai fang jiang du zhi jian cheng xian dao Uxing guan ji ,ji sui zhao huan jing xue xi de zeng jiang ,gong ye da qi wu ran wu pai fang jiang du cheng xian xian shang sheng hou xia jiang de qu shi 。ju ti lai shui ,zui xian da dao guai dian de shi dong bu ,ji hou yi ci wei zhong bu 、dong bei he xi bu de ou 。gan zhong xue 、yan fa zhong xue ji yin jin zhong xue jun hui tong guo di gao neng yuan xiao lv lai cu jin gong ye da qi wu ran wu pai fang jiang du de jiang di ;gan zhong xue he yin jin zhong xue jun hui tong guo neng yuan jie gou ying xiang gong ye da qi wu ran wu pai fang jiang du ,dan shi you yu gan zhong xue he yin jin zhong xue dui neng yuan jie gou de suo ding xiao ying shi de gai lu jing xia de ying xiang ji shu wei zheng zhi 。gou jian le ji yu huan jing xue xi qu xian de gong ye da qi wu ran wu pai fang jiang du xia jiang qian li de mo xing 。zai gong ye da qi wu ran wu pai fang jiang du xia jiang qian li ce du zhi biao de ji chu shang ,gou jian le gong ye da qi wu ran wu zong liang jian pai qian li de ce du mo xing 。tong guo yi shang mo xing de jian li ,fen bie dui wo guo zong ti ji ge de ou de gong ye da qi wu ran wu pai fang jiang du de xia jiang qian li zhi ji zong liang jian pai de qian li zhi jin hang le ce du 。yan jiu jie guo biao ming :wo guo zong ti ji ge de ou gong ye da qi wu ran wu pai fang jiang du de xia jiang kong jian wei 26.5%--33.5%。ji zhong ,bei jing 、shang hai 、hai na 、liao ning he hei long jiang (an zhao cong di dao gao de shun xu )wei gong ye da qi wu ran wu pai fang jiang du xia jiang qian li zui xiao de 5ge sheng fen 。shan xi 、he na 、jiang xi 、hu bei he shan xi (an zhao cong gao dao di de shun xu )wei gong ye da qi wu ran wu pai fang jiang du xia jiang qian li zui da de 5ge sheng fen 。dong bu de ou de sheng fen ,ru he bei he shan dong shi wo guo gong ye da qi wu ran wu zong liang jian pai qian li jiao da de de ou 。gou jian le ji yu gong ye chan chu 、huan jing xue xi 、huan jing gui zhi 、gong ye jie gou 、neng yuan jie gou deng yao su de gong ye da qi wu ran wu jian pai qing jing 。an zhao huan jing gui zhi jiang du yi ji gong ye chan chu fa zhan shui ping ,jiang ge chong yao su de yu ce zhuang tai zu ge cheng liu chong bu tong de fa zhan qing jing ,ji BAUqing jing 、BSEqing jing 、LWEqing jing 、LSEqing jing 、HWEqing jing he HSEqing jing 。gen ju gong ye da qi wu ran wu pai fang jiang du de xia jiang qian li he zong liang jian pai qian li gong shi ,dui ge sheng fen liu chong bu tong qing jing xia de gong ye da qi wu ran wu pai fang jiang du xia jiang qian li he zong liang jian pai qian li jin hang le fen xi 。yan jiu jie guo biao ming ,liu chong qing jing xia gong ye da qi wu ran wu pai fang jiang du de xia jiang qian li he zong liang jian pai qian li an zhao cong di dao gao de shun xu yi ci wei :LSEqing jing 、HSEqing jing 、BSEqing jing 、HWEqing jing 、BAUqing jing he LWEqing jing ,ye jiu shi shui jiang di gong ye da qi wu ran wu pai fang jiang du he pai fang zong liang you lai yu huan jing gui zhi jiang du de di gao 。wo guo gong ye da qi wu ran wu pai fang jiang du xia jiang qian li jiao da de ou yu wei zhong xi bu de ou 。shan xi 、hu bei 、he bei 、jiang su 、shan dong 、he na 、gui zhou 、fu jian 、hu na he an xi deng de ou shi wo guo gong ye da qi wu ran wu zong liang jian pai qian li jiao da de de ou 。zai BAUqing jing 、LWEqing jing he LSEqing jing xia ,shan xi sheng de zong liang jian pai qian li mo lun shi cong jian pai fu du hai shi jian pai bi li fang mian lai shui dou shi zui da de 。zai ci ji chu shang ,di chu le wo guo gong ye da qi wu ran wu jian pai de dui ce ,yong yi cu jin gong ye da qi wu ran wu jian pai ,jia kuai wo guo sheng tai wen ming jian she he lu se fa zhan mu biao de shi xian 。
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论文作者分别是来自哈尔滨工业大学的王文熹，发表于刊物哈尔滨工业大学2019-12-07论文，是一篇关于环境学习曲线论文,大气污染物排放强度论文,减排潜力论文,情景分析论文,哈尔滨工业大学2019-12-07论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自哈尔滨工业大学2019-12-07论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。
标签：环境学习曲线论文; 大气污染物排放强度论文; 减排潜力论文; 情景分析论文; 哈尔滨工业大学2019-12-07论文;