Abstract
This study examines an income and wellbeing paradox—the discrepancy between economic and subjective poverty—from a consumption perspective. The theoretical underpinning is that households allocate their monetary resources into different consumption categories, which may lead to varying levels of utility, thereby shaping their perceptions of poverty in different ways. Data were drawn from the first wave of the Hong Kong Panel Survey for Poverty Alleviation (N = 1386). Cluster analysis identified four consumption patterns among the economically poor: (a) food-dominant, (b) rent-dominant, (c) food & rent-dominant, and (d) balanced, and five among the economically non-poor: (a) food-dominant, (b) rent-dominant, (c) education-high, (d) mortgage-high, and (e) balanced. Logistic regression revealed that the food-dominant cluster (compared with the balanced cluster) reduced the probability of feeling non-poor among the economically poor, and the mortgage-high cluster (compared with the balanced cluster) increased the probability of feeling poor among the economically non-poor. However, the significant association between the mortgage-high cluster and subjective poverty became insignificant after controlling for assets. The mortgage-high cluster’s positive impact on subjective poverty was most likely offset by the negative impacts of homeownership and assets. The study’s findings expand our understanding of how individuals’ perceived poverty status can be shaped by their consumption patterns.
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Notes
The US$-HK$ exchange rate in January 2023 was HK$1 = US$0.13.
The proportion of spending on a mortgage was only 1% because only 13 of the 403 respondents had a mortgage.
In 2020, the income and asset limits for a single-person household were HK$33,000 and HK$850,000, respectively, whereas the limits for households with two or more persons were HK$66,000 and HK$1.7 million. The medium monthly household income in Hong Kong is HK$27,000.
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This work was supported by Chief Executive’s Community Project List (Grant No. 2013/CP03).
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Appendices
Appendices
Appendix I: Description of Control Variables
Gender | Female (reference group); Male |
---|---|
Age group | Young adults (18 ≤ age < 35); Middle-age adults (35 ≤ age < 65, reference group); Older adults (age ≥ 65) |
HKPR | HKPR; Non-HKPR (reference group) |
Marital status | Single; Cohabiting/married (reference group); Divorced/separated/widowed |
Single-person household | Household with one member |
Have children | Have child household members |
Educational attainment | Primary school or below; Secondary school (reference group); Tertiary school and above |
Employment status | Employed (reference group); Unemployed; Inactive (e.g., student, retiree, or homemaker) |
Housing status | Public rental tenant (reference group); Subsidized homeowner; Private rental tenant; Private homeowner |
Household income | Natural logarithm form of household income, which includes all household members’ employment earnings, investment returns, government and non-government cash transfers |
Self-rated health | Poor, fair, good or excellent |
Assets | Household’s total financial assets (e.g., savings, stocks, and funds) minus financial liabilities (e.g., debts and mortgage) |
Appendix II: DH and CH Indices of Cluster Analysis Among the Economically Poor
Number of clusters | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|
DH pseudo T-squared | 65.11 | 58.45 | 22.90 | 67.86 | 25.48 | 36.75 |
CH pseudo T-squared | 101.05 | 97.18 | 98.07 | 91.36 | 88.20 | 88.00 |
Appendix III: DH and CH Indices of Cluster Analysis Among the Economically Non-Poor
Number of clusters | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|
DH pseudo T-squared | 221.48 | 196.03 | 139.89 | 79.94 | 71.07 | 57.25 |
CH pseudo T-squared | 198.52 | 238.76 | 262.28 | 269.35 | 253.00 | 238.95 |
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Peng, C., Law, YW. How Do Consumption Patterns Influence the Discrepancy Between Economic and Subjective Poverty?. J Happiness Stud 24, 1579–1604 (2023). https://doi.org/10.1007/s10902-023-00651-5
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DOI: https://doi.org/10.1007/s10902-023-00651-5