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Urban consumption dissimilarities and subjective wellbeing: Evidence from mobile big data in China

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  • Hu, Lanyue
  • Shi, Wei

Abstract

The inequality and spatial unevenness in the distribution of economic resources can both significantly impact individual wellbeing. Data on residents’ income at a fine spatial scale are often not available in developing countries. In this study, we utilize a novel dataset derived from mobile big data with high spatial resolutions to estimate residents’ income at the district level in China. By combining this measure of consumption dissimilarity with household survey data, our findings reveal that even after controlling for overall levels of inequality, the concentration of high-spending households within a district has a negative effect on residents’ life satisfaction while the concentration of low-spending households has an opposite effect. These results contribute to the emerging research on understanding the spatial dimensions of economic inequalities.

Suggested Citation

  • Hu, Lanyue & Shi, Wei, 2023. "Urban consumption dissimilarities and subjective wellbeing: Evidence from mobile big data in China," Economics Letters, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:ecolet:v:233:y:2023:i:c:s016517652300438x
    DOI: 10.1016/j.econlet.2023.111412
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    References listed on IDEAS

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    1. Li, Teng & Barwick, Panle Jia & Deng, Yongheng & Huang, Xinfei & Li, Shanjun, 2023. "The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China," Journal of Urban Economics, Elsevier, vol. 135(C).
    2. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    3. Panle Jia Barwick & Yanyan Liu & Eleonora Patacchini & Qi Wu, 2023. "Information, Mobile Communication, and Referral Effects," American Economic Review, American Economic Association, vol. 113(5), pages 1170-1207, May.
    4. Jiang, Shiqing & Lu, Ming & Sato, Hiroshi, 2012. "Identity, Inequality, and Happiness: Evidence from Urban China," World Development, Elsevier, vol. 40(6), pages 1190-1200.
    5. Erzo F. P. Luttmer, 2005. "Neighbors as Negatives: Relative Earnings and Well-Being," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 963-1002.
    6. Xiaoyan Lei & Yan Shen & James P. Smith & Guangsu Zhou, 2018. "Life satisfaction in China and consumption and income inequalities," Review of Economics of the Household, Springer, vol. 16(1), pages 75-95, March.
    7. Donald R. Davis & Jonathan I. Dingel & Joan Monras & Eduardo Morales, 2019. "How Segregated Is Urban Consumption?," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1684-1738.
    8. David M. Cutler & Edward L. Glaeser, 1997. "Are Ghettos Good or Bad?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 827-872.
    9. Bharathi, Naveen & Malghan, Deepak & Rahman, Andaleeb, 2023. "Ethnic diversity and economic development with spatial segregation," Economics Letters, Elsevier, vol. 222(C).
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    More about this item

    Keywords

    Economic inequality; Subjective wellbeing; China;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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