Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (10): 1467-1484.doi: 10.1007/s11442-018-1556-z

• Orginal Article • Previous Articles     Next Articles

Assessment and determinants of per capita household CO2 emissions (PHCEs) based on capital city level in China

Lina LIU1,2(), Jiansheng QU1,2*(), Zhiqiang ZHANG1, Jingjing ZENG1,2, Jinping WANG1, Liping DONG1, Huijuan PEI1, Qin LIAO1   

  1. 1. Information Center for Global Change Studies, Lanzhou Information Center, CAS, Lanzhou 730000, China
    2. Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
  • Received:2017-02-24 Accepted:2017-09-28 Online:2018-10-25 Published:2018-10-25
  • About author:

    Author: Liu Lina, PhD, specialized in low-carbon economy and energy policy. E-mail: liuln1987@gmail.com

  • Supported by:
    National Key Research and Development Program, No.2016YFA0602803;National Natural Science Foundation of China, No.41371537;The Fundamental Research Funds for the Central Universities, No.lzujbky-2016-257;The Fundamental Research Funds for the Central Universities, No.lzu-jbky-2017-it106

Abstract:

Household CO2 emissions were increasing due to rapid economic growth and different household lifestyle. We assessed per capita household CO2 emissions (PHCEs) based on different household consuming demands (including clothing, food, residence, transportation and service) by using provincial capital city level survey data in China. The results showed that: (1) there was a declining trend moving from eastward to westward as well as moving from northward to southward in the distribution of PHCEs. (2) PHCEs from residence demand were the largest which accounted for 44% of the total. (3) Correlation analysis and spatial analysis (Spatial Lag Model (SLM) and Spatial Error Model (SEM)) were used to evaluate the complex determinants of PHCEs. Per capita income (PI) and household size (HS) were analyzed as the key influencing factors. We concluded that PHCEs would increase by 0.2951% and decrease by 0.5114% for every 1% increase in PI and HS, respectively. According to the results, policy-makers should consider household consuming demand, income disparity and household size on the variations of PHCEs. The urgency was to improve technology and change household consuming lifestyle to reduce PHCEs.

Key words: household CO2 emissions (HCEs), determinants, capital city level, China