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Study on impacts of population, consumption and technology on carbon emission in China (1990–2008) based on STIRPAT model

机译:基于Stirpat模型的人口,消费和技术对碳排放量的影响研究

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Based on extended STIRPAT model, this paper econometrically investigates the impacts on carbon emissions from population, consumption and technology in China by using the principal components regressive analysis method. Using urbanization rate as an index of the population structure, the empirical results of China' s carbon emission from 1990 to 2008 demonstrate that the influence on carbon emission produced by population structure change is higher than that brought by population scale growth at the present stage, and the technology factor plays limited role on carbon emission reduction. This is because although China has gained a certain achievement in the aspect of technology progress regarding the reduction of the intensity of carbon emission as the symbol, its carbon emission has not reached the peak owing to the restriction of the three inverted U shape curves rule in the carbon emissions process. The increase of Per capita annual consumption also brings the positive effect on the rise of carbon emission. Finally, this paper puts forward some suggestions about emission-reduction, including : during the urbanization process, it should be paid attention to optimizing population structure & continuing to implement family planning policy, further enlarging the technology innovation in order to reduce carbon emissions intensity for goal-directed and cultivating sustainable consumption pattern.
机译:基于延长的搅拌型模型,本文通过使用主要成分回归分析方法,通过使用主要成分回归分析方法对中国的人口,消费和技术产生对碳排放的影响。使用城市化率作为人口结构指数,1990年至2008年中国碳排放的实证结果表明,人口结构变化产生的对碳排放的影响高于本阶段的人口规模增长所产生的碳排放量,技术因素在减少碳排放量下起着有限的作用。这是因为虽然中国在技术进展方面获得了一定的成就,但在减少碳排放的强度作为符号的情况下,由于三个倒的U形曲线规则的限制,其碳排放尚未达到峰值碳排放过程。人均年消费量的增加也为碳排放量的兴起产生了积极影响。最后,本文提出了一些关于减排的建议,包括:在城市化进程期间,应注意优化人口结构和继续实施计划生育政策,进一步扩大技术创新,以减少碳排放强度目标导向和培养可持续消费模式。

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