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The Driving Factor Analysis of China’s CO2 Emissions Based on the STIRPAT Model

机译:基于STIRPAT模型的中国CO2排放驱动因素分析

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In recent years, China is facing unprecedented challenges in maintaining sustained economic growth, reducing CO2 emissions and tackling climate change. Therefore, the analysis of China’s CO2 emissions driving factors is of great significance. This paper is based on the extension of the STIRPAT model. It decomposes three factors: the population, economy and technology, and makes a quantitative analysis on driving forces of China’s CO2 emissions about the total population, urbanization rate, real GDP per capita, the proportion of secondary industry, private car ownership, energy intensity, coal consumption and oil consumption. The result shows that the population is still one of the important factors affecting China’s CO2 emissions; the energy consumption structure, mainly coal consumer-oriented, has a big positive driving force on CO2 emissions; real GDP per capita which represents the economic factor and the private car ownership has a bigger elasticity coefficient on CO2 emissions. In order to control and reduce CO2 emissions, we should control the population scale reasonably, improve the level of urbanization, optimize energy structure, improve the quality of economic growth and encourage residents’ green consumption.
机译:近年来,中国在维持持续的经济增长,减少二氧化碳排放和应对气候变化方面面临着前所未有的挑战。因此,分析中国的二氧化碳排放驱动因素具有重要意义。本文基于STIRPAT模型的扩展。它分解了三个因素:人口,经济和技术,并对中国二氧化碳排放的驱动力进行了定量分析,包括总人口,城市化率,人均实际GDP,第二产业的比例,私家车拥有量,能源强度,煤炭消耗和石油消耗。结果表明,人口仍然是影响中国二氧化碳排放的重要因素之一。以煤炭消费为主的能源消费结构对二氧化碳排放具有很大的积极推动作用。人均实际GDP代表经济因素,而私家车拥有量对CO2排放具有更大的弹性系数。为了控制和减少二氧化碳的排放,我们应合理控制人口规模,提高城市化水平,优化能源结构,提高经济增长质量,并鼓励居民的绿色消费。

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