CO2 Emissions from Direct Energy Use of Urban Households in India

被引:58
|
作者
Ahmad, Sohail [2 ]
Baiocchi, Giovanni [1 ]
Creutzig, Felix [2 ]
机构
[1] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[2] Mercator Res Inst Global Commons & Climate Change, D-10829 Berlin, Germany
基金
美国国家科学基金会;
关键词
ELECTRICITY ACCESS; FUEL; INFRASTRUCTURE; REQUIREMENTS; AVAILABILITY; CONSUMPTION; TRANSPORT; TYPOLOGY; GROWTH; CITIES;
D O I
10.1021/es505814g
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
India hosts the world's second largest population and offers the world's largest potential for urbanization. India's urbanization trajectory will have crucial implications on its future GHG emission levels. Using household microdata from India's 60 largest cities, this study maps GHG emissions patterns and its determinants. It also ranks the cities with respect to their household actual and "counter-factual" GHG emissions from direct energy use. We find that household GHG emissions from direct energy use correlate strongly with income and household size; population density, basic urban services (municipal water, electricity, and modern cooking-fuels access) and cultural, religious, and social factors explain more detailed emission patterns. We find that the "greenest" cities (on the basis of household GHG emissions) are Bareilly and Allahabad, while the "dirtiest" cities are Chennai and Delhi; however, when we control for socioeconomic variables, the ranking changes drastically. In the control case, we find that smaller lower-income cities emit more than expected, and larger high-income cities emit less than expected in terms of counter-factual emissions. Emissions from India's cities are similar in magnitude to China's cities but typically much lower than those of comparable U.S. cities. Our results indicate that reducing urban heat-island effects and the associated cooling degree days by greening, switching to modern nonsolid cooking fuels, and anticipatory transport infrastructure investments are key policies for the low-carbon and inclusive development of Indian cities.
引用
收藏
页码:11312 / 11320
页数:9
相关论文
共 50 条
  • [21] CO2 EMISSIONS INDUCED BY HOUSEHOLDS LIFESTYLE IN MALAYSIA
    Chik, Norlaila Abdullah
    Rahim, Khalid Abdul
    Radam, Alias
    Shamsudin, Mad Nasir
    INTERNATIONAL JOURNAL OF BUSINESS AND SOCIETY, 2013, 14 (03): : 344 - 357
  • [22] Social groups and CO2 emissions in Spanish households
    Duarte, Rosa
    Mainar, Alfredo
    Sanchez-Choliz, Julio
    ENERGY POLICY, 2012, 44 : 441 - 450
  • [23] Modeling framework for estimating energy demand and CO2 emissions from energy intensive industries in India
    Das, Anjana
    Kandpal, Tara Chandra
    Energy Sources, 21 (07): : 649 - 661
  • [24] A modeling framework for estimating energy demand and CO2 emissions from energy intensive industries in India
    Das, A
    Kandpal, TC
    ENERGY SOURCES, 1999, 21 (07): : 649 - 661
  • [25] Energy and CO2 emissions in India:: increasing trends and alarming portents
    Srivastava, L
    ENERGY POLICY, 1997, 25 (11) : 941 - 949
  • [26] Combining Indicators of Energy Consumption and CO2 Emissions: EKC in India
    Gupta, Vijaya
    Yadav, Utkarsh
    INTERNATIONAL JOURNAL OF ECOLOGICAL ECONOMICS & STATISTICS, 2016, 37 (02) : 56 - 74
  • [27] Urban energy consumption and CO2 emissions in Beijing: current and future
    Hao Yu
    Su-Yan Pan
    Bao-Jun Tang
    Zhi-Fu Mi
    Yan Zhang
    Yi-Ming Wei
    Energy Efficiency, 2015, 8 : 527 - 543
  • [28] Economic growth, CO2 emissions and energy use in Israel
    Magazzino, Cosimo
    INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2015, 22 (01): : 89 - 97
  • [29] Energy use, cost and CO2 emissions of electric cars
    van Vliet, Oscar
    Brouwer, Anne Sjoerd
    Kuramochi, Takeshi
    van den Broek, Machteld
    Faaij, Andre
    JOURNAL OF POWER SOURCES, 2011, 196 (04) : 2298 - 2310
  • [30] Urban energy consumption and CO2 emissions in Beijing: current and future
    Yu, Hao
    Pan, Su-Yan
    Tang, Bao-Jun
    Mi, Zhi-Fu
    Zhang, Yan
    Wei, Yi-Ming
    ENERGY EFFICIENCY, 2015, 8 (03) : 527 - 543