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首页> 外文期刊>Polish Journal of Environmental Studies >CO_2 Emissions in China's Yangtze River Economic Zone: A Dynamic Vector Autoregression Approach
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CO_2 Emissions in China's Yangtze River Economic Zone: A Dynamic Vector Autoregression Approach

机译:中国长江经济区的CO_2排放量:动态矢量自回归方法

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摘要

China has become the world's largest carbon emitter, and coal consumption in the Yangtze River Economic Zone takes over more than one third of the total number in the country. Investigating the main influencing factors of the Yangtze River Economic Zone's CO2 emissions is of vital importance to develop effective environmental policies. The vector autoregression model was applied in the present paper to analyze the driving forces in this area based on the pertinent data from 1985 to 2014. Results show that energy efficiency is the primary influencing factor of the region's carbon emissions, which plays a leading role in mitigating CO2 emissions. Energy structure has an obviously positive impact on the zone's CO2 emissions. Urbanization has continuously promoted coal consumption in this area. These findings are extremely helpful for related departments in the Yangtze River Economic Zone to develop appropriate policies pertaining to energy savings and emissions reduction.
机译:中国已经成为世界上最大的碳排放国,长江经济区的煤炭消费量占全国总量的三分之一以上。调查长江经济区CO2排放的主要影响因素对于制定有效的环境政策至关重要。本文基于向量自回归模型,基于1985年至2014年的相关数据,对该区域的驱动力进行了分析。结果表明,能源效率是该地区碳排放的主要影响因素,在该地区的碳排放中起着主导作用。减少二氧化碳排放量。能源结构对区域的二氧化碳排放具有明显的积极影响。城市化不断促进了该地区的煤炭消费。这些发现对于长江经济带的相关部门制定有关节能减排的政策非常有帮助。

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