Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing

Author:

Fan Fengyan12,Lei Yalin34ORCID

Affiliation:

1. Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

2. Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

3. School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China

4. Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resource, Beijing 100083, China

Abstract

Beijing’s residential CO2emissions have become the main growth point of CO2emissions. However, the impact factors of the direct energy-related CO2emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2emissions in Beijing from 1995 to 2015, using a newly built decomposition model with generalized Fisher index (GFI) and M-P model. The results were compared between urban and rural areas. Urban residential CO2emissions did not change during 1995–1999 but then grew rapidly after 1999, while rural residential CO2emissions fluctuated during the studied period. Increased per capita income is the most important pulling factor for the growth of residential CO2emissions, while energy consumption intensity is a decisive factor in inhibiting residential CO2emissions. Population size plays a pulling role in the growth of residential CO2emissions. Energy structure exerts a role in inhibiting residential CO2emissions, and its inhibition effect is stronger for urban residents. Average consumption propensity inhibits urban residential CO2emissions but has little effect on rural residential CO2emissions. The population migration from rural to urban areas in the urbanization process increases residential CO2emissions. To reduce residential CO2emissions, several recommendations have been proposed.

Funder

China Geological Survey

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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