地理科学 ›› 2016, Vol. 36 ›› Issue (5): 691-696.doi: 10.13249/j.cnki.sgs.2016.05.006

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中国省域城镇居民碳排放驱动因素分析

刘晔1,2(), 刘丹3, 张林秀1   

  1. 1. 中国科学院农业政策研究中心/中国科学院地理科学与资源研究所, 北京 100101
    2.中国科学院沈阳应用生态研究所, 辽宁 沈阳 110016
    3中国刑事警察学院, 辽宁 沈阳 110854
  • 收稿日期:2015-03-20 修回日期:2015-05-10 出版日期:2016-07-20 发布日期:2016-07-20
  • 作者简介:

    作者简介:刘晔(1980-),女,辽宁盘锦人,博士后,助理研究员,主要从事区域可持续发展研究。E-mail: liuye@iae.ac.cn

  • 基金资助:
    国家自然科学基金项目(41201584)、国家自然科学基金[国际(地区)合作与交流项目(31361140360)]资助

Driving Factors Analysis of Carbon Emissions in Chinese Provincial Urban Households

Ye Liu1,2(), Dan Liu3, Linxiu Zhang1   

  1. 1.Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China
    3.National Police University of China, Shenyang 110854, Liaoning, China
  • Received:2015-03-20 Revised:2015-05-10 Online:2016-07-20 Published:2016-07-20
  • Supported by:
    National Natural Science Fundation of China (41201584), National Natural Science Fundation of China (International Cooperation and Exchange Project) (31361140360)

摘要:

从消费角度出发,分别对2003和2012年中国城镇(不含港、澳、台地区)居民碳排放的特征及影响因素进行分析。结果显示,不同地区城镇居民碳排放存在明显差异,人口因素对区域分异有弱化作用。从城镇居民人均碳排放来看,不同地区消费构成、能源结构、产业结构3因素对城镇居民碳排放影响的差异总体表现为:消费结构/能源结构>产业结构。与其他部门相比,大多数地区工业部门的生产能耗、投入产出周转量和产品购买量是影响当地城镇居民碳排放的主要因素,各地区城镇居民碳排放的影响因素具有明显的区域特点。政府应在当前研究的基础上,根据当地能耗模式、产业模式和消费模式因地置宜管理城镇居民碳排放。

关键词: 城镇居民碳排放, 居民消费, 投入产出分析

Abstract:

Generally the living standards of households in China have improved significantly as a result of rapid socio-economic growth. The rapid growth, especially in the urban areas has been one of the sources of carbon emissions. Therefore, the carbon emissions from the urban households should be taken into account. From the consumption point of view, the study analyzed the total, direct and indirect carbon emissions of Chinese urban households. Further, the coefficient variations of the total and per capita carbon emissions were also calculated and subsequently, adopted the structural decomposition analysis to explore the effects of energy structures, industrial structures, and consumption structures between 2003 and 2012. The results indicated that there were significant differences of carbon emissions from urban households between provinces. As compared to that of 2003, the total carbon emission of the urban households has increased while the per capita carbon emission has decreased in 2012. The study revealed population as one of the main source for decreasing regional differences of carbon emission in the urban households. Most provinces with high carbon emissions of urban households could be attributed to large scale of economy. However, some provinces with small scale of economy still have relatively high carbon emissions. Overall, the provinces with high carbon emission from urban household consumption could either be attributed to its rich natural resource base or to the size of its economy. From the geographical perspective, the areas with high carbon emission from the urban households are mainly distributed in the northern provinces and coastal areas. This can be substantiated by the presence of rich coal resources in the northern areas and the presence of either heavy industries or large economy of scale in the coastal areas. Therefore, it is quite evident that the trend of carbon emission from the urban households will keep increasing given the pace of current socio-economic growth. While analyzing carbon emission from the urban households, data were categorized into six different sectors, including agriculture, industry, construction, transport, storage and post, wholesale and retail trades, hotels and catering services, and other industries. The factors including consumption structure, energy structure, and industrial structure have impacts on carbon emission from the urban households in 30 provinces in a descending order (consumption structure>energy structure>industry structure). Among these three structures, although the energy consumption in productive sectors, input-output turnovers and product purchases of the secondary industry were the key effects on local per capita carbon emissions of urban households, different provinces presented their own complex characteristics of driving factors. The government should formulate a policy in dealing with carbon emission from the urban households by engaging all relevant stakeholders, following the above analysis results.

Key words: carbon emissions, Chinese urban household consumption, input-output analysis

中图分类号: 

  • F205