日本47个县住宅二氧化碳排放的社会人口驱动因素

Yosuke Shigetomi, Ken’ichi Matsumoto, T. Ehara, Y. Ochi, Yuki Ogawa, Hiroto Shiraki, Yuki Yamamoto
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引用次数: 1

摘要

这项研究调查了自1990年以来,日本所有47个县的家庭中,哪些社会经济驱动因素导致了与能源相关的二氧化碳排放。采用对数均值分项指数技术,将1990-2013年中国地级市二氧化碳排放趋势分解为6个驱动因素:户数变化(户效应)、户数分布变化(分布效应)、户数规模变化(规模效应)、家庭人均能源消费变化(消费效应)、家庭能源选择变化(选择效应)和行业二氧化碳排放强度变化(技术效应)。结果表明,与规模效应相反,家庭效应和分布效应对二氧化碳排放都有积极而显著的影响,这表明这些最近的人口趋势是大多数县在此期间观察到的二氧化碳排放量增加的原因。在消费效应和选择效应,即生活方式和技术变化导致的二氧化碳排放量变化方面,2013年分别只有10个县和7个县的二氧化碳排放量减少。因此,为了通过这些关键驱动因素进一步减少郡县之间的二氧化碳排放,有必要优先转让新的家用能源技术,升级家用电器,并鼓励人们限制能源消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-Demographic Drivers of Residential CO2 Emissions in the 47 Prefectures of Japan
This study examined which socio-economic drivers contributed to energy-related CO2 emissions in Japanese households in all 47 prefectures since 1990. We adopted the logarithmic mean Divisia index technique to decompose the prefectural trends in CO2 emissions during the period 1990-2013 into six drivers: change in the number of households (household effect), distribution of households (distribution effect), household size (size effect), per-capita household energy consumption (consumption effect), household energy choice (choice effect), and sectoral CO2 emission intensity (technology effect). The results showed that, in contrast to the size effect, the household effect and the distribution effect both had positive and significant effects on CO2 emissions, indicating that these recent demographic trends were responsible for the increase in CO2 emissions observed in most of the prefectures during the period. Regarding the consumption effect and the choice effect, i.e., changes in CO2 emissions due to changes in lifestyle and technology, only ten and seven prefectures reduced their CO2 emissions in 2013, respectively. Thus, in order to further reduce CO2 emissions through these key drivers among prefectures, it is considered necessary to prioritize the transfer of new household energy technologies, upgrade household appliances, and encourage people to limit energy consumption.
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