碳减排路径模式选择研究——基于私家车管控的个人碳交易和碳税比较

发布时间：2018-03-28 17:31

本文选题：环境学　切入点：碳减排路径　出处：《安全与环境学报》2017年02期

【摘要】：为了研究大城市私家车碳减排的有效路径,引入个人碳交易概念,提出管控大城市私家车碳排放的设想,制定了个人碳交易管理办法基本内容;运用Cobb-Douglas效用函数建立了管控大城市私家车个人碳交易和碳税的经济模型,依托调研数据定量化研究交通领域的个人碳交易机制,运用Matlab软件绘制了个人碳交易和碳税方案的适用范围图形,并对二者的减排效果进行比较。结果表明:个人碳交易与碳税都可以使消费者减少实际行车里程并保证总效用的增加,个人碳交易比碳税更容易为消费者接受,并能够达到碳减排的效果;在消费领域碳减排初期、社会减排任务量不大时,个人碳交易优于碳税,当减排任务很大时,碳税政策更为有效;碳减排量对消费者刚性需求的影响决定着个人碳交易制度的接受程度。应在北京、上海等大城市或其他城市的拥堵区域试行个人碳交易管控大城市私家车出行的制度,并开展实施细则的研究。
[Abstract]:In order to effectively on the path of the big city of private cars to reduce carbon emissions, the introduction of personal carbon trading concept, put forward control big city private car emissions, formulated the basic content of the measures for the administration of personal carbon trading; using the Cobb-Douglas utility function of the economic model is established to control big city car a carbon trading and carbon tax, quantitative research on traffic in the field of personal carbon trading mechanism based on the survey data, draw the scope of personal carbon trading and carbon tax plan graphics with Matlab software, and compared the emission reduction effect of the two. The results showed that personal carbon trading and carbon tax can enable consumers to reduce the actual mileage and ensure the increase in total utility, personal carbon it is easier for consumers to accept the transaction than the carbon tax and carbon emission reduction effect can be achieved in the field of consumption; carbon emission reduction task is not early, social, and personal carbon trading In a carbon tax, when the emission reduction task is very large, the carbon tax policy is more effective to reduce the impact on consumers; carbon emissions rigid demand determines the acceptance of personal carbon trading system. In Beijing, private car trial personal carbon trading system control big city travel congestion areas in large cities such as Shanghai City or any other city. Study and carry out the implementation details.

【作者单位】：北京工业大学经济与管理学院;
【基金】：国家自然科学基金项目(71473010) 北京市自然科学基金项目(9142001) 北京市哲学社会科学规划项目(13JGA008) 高等学校博士学科点专项科研基金项目(20131103110004)
【分类号】：F812.42;F832.5;X196;X322

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