This study examines how rainfall shocks influence self-perceived health conditions and subjective well-being among Vietnamese rural residents. To estimate the effects of interest, we adopt the individual fixed effects model that exploits the within-individual variation in rainfall shock exposure. We uncover the harmful impacts of rainfall shocks on individual health and subjective well-being. Particularly, a 100% increase in rainfall relative to the district-specific norms make individuals 14.3 and 14.6 percentage points less likely to report themselves to be healthy and healthier relative to last year, respectively. They are also 13.7 and 5.5 percentage points less likely to consider themselves wealthy in comparison to other residents in their villages and Vietnam, respectively. We further show that individuals working in both agriculture and non-agriculture industries are adversely affected by rainfall shocks, but the impacts are larger in magnitude for the agriculture group. The findings suggest that effective measures from the government and households are required to alleviate the costs of climate volatility such as rainfall shocks.
AcevedoM., PixleyK., ZinyengereN., MengS., TufanH., CichyK., BizikovaL., IsaacsK., Ghezzi-KopelK., & PorcielloJ. (2020). A scoping review of adoption of climate-resilient crops by small-scale producers in low- and middle-income countries. Nature Plants, 6(10), 1231–1241.
2.
AmareM., JensenN. D., ShiferawB., & CisséJ. D. (2018). Rainfall shocks and agricultural productivity: Implication for rural household consumption. Agricultural Systems, 166, 79–89.
3.
ApoueyB. H. (2013). Health policies and the relationships between socioeconomic status, access to health care, and health. Israel Journal of Health Policy Research, 2(1), 1–2.
4.
BitlerM. P., & SeifoddiniA. (2019). Health impacts of food assistance: Evidence from the United States. Annual Review of Resource Economics, 11, 261–287.
5.
Bjorkman-NyqvistM. (2013). Income shocks and gender gaps in education: Evidence from Uganda. Journal of Development Economics, 105, 237–253.
6.
BoansiD., OwusuV., TamboJ. A., DonkorE., & AsanteB. O. (2021). Rainfall shocks and household welfare: Evidence from northern Ghana. Agricultural Systems, 194, 103267.
7.
ChuangY. (2019). Climate variability, rainfall shocks, and farmers’ income diversification in India. Economics Letters, 174, 55–61.
8.
De NicolaF. (2015). The impact of weather insurance on consumption, investment, and welfare. Quantitative Economics, 6(3), 637–661.
9.
DerconS., HoddinottJ., & WoldehannaT. (2005). Shocks and consumption in 15 Ethiopian villages, 1999–2004. Journal of African Economies, 14(4), 559.
10.
DimitrovaA., & BoraJ. K. (2020). Monsoon weather and early childhood health in India. PloS One, 15(4), e0231479.
11.
EcksteinD., KünzelV., SchäferL., & WingesM. (2020). Global climate risk index 2020, who suffers most from extreme weather events? Weather-related loss events in 2018 and 1999 to 2018. Germanwatch.
EndoN., & EltahirE. A. (2020). Increased risk of malaria transmission with warming temperature in the Ethiopian Highlands. Environmental Research Letters, 15(5), 054006.
14.
GrossmanM. (1972). The demand for health: A theoretical and empirical investigation. Columbia University Press for the National Bureau of Economic Research, New York.
15.
GrossmanM. (2006). Education and nonmarket outcomes. Handbook of the Economics of Education, 1, 577–633.
16.
GuntukulaR., & GoyariP. (2020). Climate change effects on the crop yield and its variability in Telangana, India. Studies in Microeconomics, 8(1), 119–148.
17.
IPCC (Intergovernmental Panel on Climate Change). (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. Cambridge University Press.
18.
JacobyH. G., RabassaM. J., & SkoufiasE. (2014). Weather and child health in rural Nigeria. Journal of African Economies, 23(4), 464–492.
19.
JoshiS. (2022). How effective are Governor’s party affiliated campaign promises on crime? Evidence from US states. Economic Modelling, 113, 105876.
20.
KilianB., DempewolfH., GuarinoL., WernerP., CoyneC., & WarburtonM. L. (2021). Crop science special issue: Adapting agriculture to climate change: A walk on the wild side. Crop Science, 61(1), 32–36.
21.
KindaS. R., & BadoloF. (2019). Does rainfall variability matter for food security in developing countries?Cogent Economics & Finance, 7(1), 1640098.
22.
KubikZ., & MaurelM. (2016). Weather shocks, agricultural production and migration: Evidence from Tanzania. The Journal of Development Studies, 52(5), 665–680.
23.
KurosakiT. (2015). Vulnerability of household consumption to floods and droughts in developing countries: Evidence from Pakistan. Environment and Development Economics, 20(2), 209–235.
24.
LeK., & NguyenM. (2021a). The impacts of rainfall shocks on birth weight in Vietnam. Journal of Development Effectiveness, 14(2), 143–159.
25.
LeK., & NguyenM. (2021b). In-utero exposure to rainfall variability and early childhood health. World Development, 144, 105485.
26.
LevyK., WosterA. P., GoldsteinR. S., & CarltonE. J. (2016). Untangling the impacts of climate change on waterborne diseases: A systematic review of relationships between diarrheal diseases and temperature, rainfall, flooding, and drought. Environmental Science & Technology, 50(10), 4905–4922.
27.
LohmannS., & LechtenfeldT. (2015). The effect of drought on health outcomes and health expenditures in rural Vietnam. World Development, 72, 432–448.
28.
MacciniS., & YangD. (2009). Under the weather: Health, schooling, and economic consequences of early-life rainfall. American Economic Review, 99(3), 1006–1026.
29.
NebieE. K. I., BaD., & GianniniA. (2021). Food security and climate shocks in Senegal: Who and where are the most vulnerable households?Global Food Security, 29, 100513.
30.
NguyenT. T., TranV. T., NguyenT. T., & GroteU. (2021). Farming efficiency, cropland rental market and income effect: Evidence from panel data for rural Central Vietnam. European Review of Agricultural Economics, 48(1), 207–248.
31.
NublerL., AustrianK., MaluccioJ. A., & PinchoffJ. (2021). Rainfall shocks, cognitive development and educational attainment among adolescents in a drought-prone region in Kenya. Environment and Development Economics, 26(5–6), 466–487.
32.
OgundariK., AdemuwagunA. A., & AppahO. (2021). A note on rainfall variability and trends in Nigeria: Implications for agricultural production. Studies in Microeconomics. https://journals.sagepub.com/doi/10.1177/23210222211051472
33.
PegaF., PabayoR., BennyC., LeeE. Y., LhachimiS. K., & LiuS. Y. (2022). Unconditional cash transfers for reducing poverty and vulnerabilities: Effect on use of health services and health outcomes in low- and middle-income countries. Cochrane Database of Systematic Reviews, 3, CD011135.
34.
PorterC. (2012). Shocks, consumption and income diversification in rural Ethiopia. Journal of Development Studies, 48(9), 1209–1222.
35.
PriebeJ., RinkU., & StemmlerH. (2019). Health shocks and risk aversion: Panel and experimental evidence from Vietnam(No. WP-015). TVSEP Working Paper.
36.
RandellH., GrayC., & GraceK. (2020). Stunted from the start: Early life weather conditions and child undernutrition in Ethiopia. Social Science & Medicine, 261, 113234.
37.
RutkayováJ., VáchaF., MaršálekM., BenešK., CivišováH., HorkáP., PetráškováE., RostM., & ŠulistaM. (2018). Fish stock losses due to extreme floods—Findings from pond-based aquaculture in the Czech Republic. Journal of Flood Risk Management, 11(3), 351–359.
38.
SedaiA. K., VasudevanR., & PenaA. A. (2021). Friends and benefits? Endogenous rotating savings and credit associations as alternative for women’s empowerment in India. World Development, 145, 105515.
39.
SekhriS., & StoreygardA. (2014). Dowry deaths: Response to weather variability in India. Journal of Development Economics, 111, 212–223.
40.
ShehuA., & SidiqueS. F. (2015). The effect of shocks on household consumption in rural Nigeria. The Journal of Developing Areas, 49, 353–364.
41.
SkoufiasE., & VinhaK. (2012). Climate variability and child height in rural Mexico. Economics & Human Biology, 10(1), 54–73.
42.
Vanden EyndeO. (2018). Targets of violence: Evidence from India’s naxalite conflict. The Economic Journal, 128(609), 887–916.
43.
World Bank. (2017). Data: Vietnam. World Bank. http://data.worldbank.org/country/vietnam
44.
YuH. (2019). The impact of self-perceived relative income on life satisfaction: Evidence from British panel data. Southern Economic Journal, 86(2), 726–745.
45.
YuH. (2020). Income comparison and subjective well-being: Evidence from self-perceived relative income data from China. Eastern Economic Journal, 46(4), 636–672.
46.
ZimmermannL. (2020). Remember when it rained—Schooling responses to shocks in India. World Development, 126, 104705.
