Housing wealth and household carbon emissions: The role of homeownership in China

[1]  I. Otto,et al.  Whose House is on Fire? Identifying Socio-Demographic and Housing Characteristics Driving Differences in the UK Household Co2 Emissions , 2023, SSRN Electronic Journal.

[2]  Huijuan Dong,et al.  Uncovering the differences of household carbon footprints and driving forces between China and Japan , 2022, Energy Policy.

[3]  William G. Hardin,et al.  Culture, Wealth, Gender, Real Estate, and Consumption in China: It’s a Boy , 2022, Journal of Real Estate Research.

[4]  I. S. Zen,et al.  Socioeconomics determinants of household carbon footprint in Iskandar Malaysia , 2022, Journal of Cleaner Production.

[5]  Y. Long,et al.  Exploring household emission patterns and driving factors in Japan using machine learning methods , 2022, Applied Energy.

[6]  J. Newell,et al.  Racial inequity in household energy efficiency and carbon emissions in the United States: An emissions paradox , 2022, Energy Research & Social Science.

[7]  B. W. Ang,et al.  Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers , 2022, Energy Economics.

[8]  Cheng Li,et al.  How does housing wealth affect household consumption? Evidence from macro-data with special implications for China , 2021 .

[9]  M. Song,et al.  Chinese provincial multi-regional input-output database for 2012, 2015, and 2017 , 2021, Scientific Data.

[10]  Bhupal Singh.  Housing and stock market wealth effects in developing economies , 2021, International Economics and Economic Policy.

[11]  J. Heeter,et al.  Will consumers really pay for green electricity? Comparing stated and revealed preferences for residential programs in the United States , 2020 .

[12]  Yi-Ming Wei,et al.  Economic development and converging household carbon footprints in China , 2020, Nature Sustainability.

[13]  Ligang Song,et al.  Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey , 2020 .

[14]  Nicolas Woloszko,et al.  Housing, wealth accumulation and wealth distribution: Evidence and stylized facts , 2019 .

[15]  João F.D. Rodrigues,et al.  Driving forces of household carbon emissions in China: A spatial decomposition analysis , 2019, Journal of Cleaner Production.

[16]  Yingling Fan,et al.  Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions , 2019, Transportation Research Part D: Transport and Environment.

[17]  W. Clark,et al.  Can millennials access homeownership in urban China? , 2019, Journal of Housing and the Built Environment.

[18]  Xiao-shu Cao,et al.  Examining the effects of the neighborhood built environment on CO2 emissions from different residential trip purposes: A case study in Guangzhou, China , 2018, Cities.

[19]  Yi-Ming Wei,et al.  A multi-regional input-output table mapping China's economic outputs and interdependencies in 2012 , 2018, Scientific Data.

[20]  William G. Hardin,et al.  Housing, Wealth, Income and Consumption: China and Homeownership Heterogeneity , 2018, Real Estate Economics.

[21]  J. Melvin.  The split incentives energy efficiency problem: Evidence of underinvestment by landlords , 2018 .

[22]  Yanan Wang,et al.  Spatial effect of factors affecting household CO2 emissions at the provincial level in China: a geographically weighted regression model , 2018 .

[23]  Yi-Ming Wei,et al.  Chinese CO2 emission flows have reversed since the global financial crisis , 2017, Nature Communications.

[24]  B. W. Ang,et al.  Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities , 2017 .

[25]  Moises Neil V. Seriño.  Is Decoupling Possible? Association between Affluence and Household Carbon Emissions in the Philippines , 2017 .

[26]  E. Hui,et al.  How does housing price affect consumption in China: Wealth effect or substitution effect? , 2017 .

[27]  Yuli Shan,et al.  New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors , 2016 .

[28]  T. Maraseni,et al.  Dynamism of household carbon emissions (HCEs) from rural and urban regions of northern and southern China , 2016, Environmental Science and Pollution Research.

[29]  B. Kus.  Wealth Inequality: Historical Trends and Cross-National Differences , 2016 .

[30]  Richard Wood,et al.  The Carbon Footprint of Norwegian Household Consumption 1999–2012 , 2016 .

[31]  Robert Miehe,et al.  Regional carbon footprints of households: a German case study , 2016, Environment, Development and Sustainability.

[32]  S. Geertman,et al.  Access to homeownership in urban China: A comparison between skilled migrants and skilled locals in Nanjing , 2016 .

[33]  Yu Xie,et al.  An Introduction to the China Family Panel Studies (CFPS) , 2014 .

[34]  S. Kumari,et al.  Consumption-Wealth Ratio and Expected Housing Return , 2014 .

[35]  William G. Hardin,et al.  Wealth, Composition, Housing, Income and Consumption , 2014 .

[36]  Milena Büchs,et al.  Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions , 2013 .

[37]  B. W. Ang,et al.  Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports , 2013 .

[38]  Xin Meng,et al.  Income inequality and carbon dioxide emissions: The case of Chinese urban households , 2012 .

[39]  Nan Li,et al.  Analysis on influence factors of China's CO2 emissions based on Path–STIRPAT model , 2011 .

[40]  J. Minx,et al.  A definition of “carbon footprint” , 2010 .

[41]  Benjamin I. Page,et al.  Oligarchy in the United States? , 2009, Perspectives on Politics.

[42]  Tracy M. Turner,et al.  Homeownership, wealth accumulation and income status , 2009 .

[43]  M. Fung,et al.  Financial market and housing wealth effects on consumption: a permanent income approach , 2008 .

[44]  Eric S. Belsky,et al.  Do homeowners achieve more household wealth in the long run , 2007 .

[45]  Winky K.O. Ho,et al.  Privatization, housing conditions and affordability in the People's Republic of China , 2007 .

[46]  T. Kashdan,et al.  Materialism and diminished well-being: Experiential avoidance as a mediating mechanism , 2007 .

[47]  Ming Lu,et al.  Urbanization, Urban-Biased Policies, and Urban-Rural Inequality in China, 1987-2001 , 2006 .

[48]  C. Carroll,et al.  Unemployment Risk and Precautionary Wealth: Evidence from Households' Balance Sheets , 1999, Review of Economics and Statistics.

[49]  J. Boyce.  Inequality as a Cause of Environmental Degradation , 1994 .

[50]  Shim Young,et al.  The Permanent Income Hypothesis , 1992 .

[51]  Kul B. Bhatia.  Real Estate Assets and Consumer Spending , 1987 .

[52]  Chengdong Yi,et al.  Housing wealth inequality in China: An urban-rural comparison , 2020 .

[53]  Seppo Junnila,et al.  Carbon footprint trends of metropolitan residents in Finland: How strong mitigation policies affect different urban zones , 2018 .

[54]  Jing Meng,et al.  A multi-regional input-output table mapping China's economic outputs and interdependencies in 2012. , 2018, Scientific Data.

[55]  Yi-Ming Wei,et al.  Unequal household carbon footprints in China , 2017 .

[56]  Fei Wang,et al.  Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang , 2017 .

[57]  Chuanwang Sun,et al.  Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China , 2016 .

[58]  G. Allègre,et al.  Does housing wealth contribute to wealth inequality? A tale of two New Yorks , 2015 .

[59]  Saikat Kumar Paul,et al.  CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis , 2014 .

[60]  X. Giné,et al.  How Accurate are Recall Data? Evidence from Coastal India , 2012 .

[61]  B. W. Ang,et al.  Input–output analysis of CO2 emissions embodied in trade: The effects of sector aggregation , 2010 .

[62]  Raphael W. Bostic,et al.  Housing wealth, financial wealth, and consumption: New evidence from micro data , 2009 .