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Effect of agricultural carbon emissions on farmers’ health expenditure of China: evidence from the educational threshold effect

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Abstract

Environmental pollution, especially agricultural carbon emissions (ACE), has led to public health problems to rural areas in China and accompanied by a heavy medical economic burden. However, most studies on carbon dioxide emissions and healthcare expenditures focused on the industrial sector, and the effect of ACE was overlooked. Therefore, studying the effect of ACE on rural residents’ healthcare expenditures (NHCE) is not only conducive to accelerating the low-carbon transformation of agriculture but also has important implications for reducing healthcare expenditures. In addition, the effect of ACE on NHCE in different areas might be complex and nonlinear due to differences in years of schooling (EDU) leading to different awareness of environmental protection and health among farmers. Therefore, this paper used the Bayesian quantile regression (BQR) model and the panel threshold model to explore the effect of ACE on NHCE in different areas, based on the panel data of 31 provinces in China from 2007 to 2019. The results showed that ACE and NHCE experienced similar spatial distribution from 2007 to 2019. The BQR estimation results found that ACE had a significant positive effect on NHCE at different quantile levels during the sample period, public health concern, and thereby increasing the medical and economic burden of rural households. Meanwhile, ACE had a positive effect on NHCE with a significant single threshold effect from EDU. Specifically, farmers gradually realize the harm of environmental pollution to health with the continuous improvement of education level, and then ACE aggravated the improvement of NHCE after exceeding the threshold. EDU was more essential for farmers in contiguous poverty (CP) areas than in relatively developed (RD) areas and played an important role between ACE and NHCE. Furthermore, demographic structure, economic development, and public services were also positive driving factors for NHCE. The results of analysis provide a valuable reference for understanding the factors influencing NHCE and enable formulation of ACE emission reduction policies according to local conditions.

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Data availability

All data generated or analyzed during the current study are presented in this article. Raw data will be also accessible from the author group if requested.

References

  • Ahmad M, Rehman A, Shah S et al (2021) Stylized heterogeneous dynamic links among healthcare expenditures, land urbanization, and co2 emissions across economic development levels. Sci Total Environ 753(1):142228. https://doi.org/10.1016/j.scitotenv.2020.142228

  • Alexendratos N, Bruinsma J (2012) World agriculture towards 2030/2050: the 2012 revision. ESA Working Papers 288998, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA)

  • Ambade B, Ghosh S (2013) Characterization of PM10 in the ambient air during Deepawali festival of Rajnandgaon district, India. Nat Hazards 69:589–598

    Article  Google Scholar 

  • Ambade B, Sethi SS, Giri B (2022) Characterization, behavior, and risk assessment of polycyclic aromatic hydrocarbons (PAHs) in the estuary sediments. Bull Environ Contam Toxicol 108:243–252

    Article  CAS  Google Scholar 

  • Ambade B, Sethi SS, Chintalacheruvu MR (2023) Distribution, risk assessment, and source apportionment of polycyclic aromatic hydrocarbons (PAHs) using positive matrix factorization (PMF) in urban soils of East India. Environ Geochem Health 45:491–505

    Article  CAS  Google Scholar 

  • Apergis N, Gupta R, Lau C et al (2018) U.S. state-level carbon dioxide emissions: does it affect healthcare expenditure. Renew Sust Energ Rev 91:521–530

    Google Scholar 

  • Cao GL, Zhang XY, Wang YQ, Zheng FC (2008) Estimation of emissions from field burning of crop straw in China. Chin Sci Bull 53(5):784–790

    Article  CAS  Google Scholar 

  • Chaabouni S, Zghidi N, Mbarek MB (2016) On the causal dynamics between CO2 emissions, health expenditures and economic growth. Sustain Cities Soc 22:184–191

    Article  Google Scholar 

  • Chen L, Zhuo Y, Xu Z, Xu X, Gao X (2019) Is carbon dioxide (CO2) emission an important factor affecting healthcare expenditure? Evidence from China, 2005–2016. Int J Environ Res Public Health 16(20):3995. https://doi.org/10.3390/ijerph16203995

    Article  Google Scholar 

  • Dietterich L, Zanobetti A, Kloog I et al (2015) Impacts of elevated atmospheric CO2 on nutrient content of important food crops. Sci Data 2:150036

    Article  CAS  Google Scholar 

  • Grossman M (1972) The demand for health: a theoretical and empirical investigation. Columbia University Press, New York, National Bureau of Economic Research

    Google Scholar 

  • Hansen BE (1999) Threshold effects in non-dynamic panels: estimation, testing, and inference. J Econom 93(2):345–368

    Article  Google Scholar 

  • Hao Y, Liu S, Lu ZN et al (2018) The impact of environmental pollution on public health expenditure: dynamic panel analysis based on Chinese provincial data. Environ Sci Pollut Res 25:18853–18865. https://doi.org/10.1007/s11356-018-2095-y

    Article  Google Scholar 

  • Huang SL, Hsu MK, Chan CC (2003) Effects of submicrometer particle compositions on cytokine pro-duction and lipid peroxidation of human bronchial epithelial cells. Environ Health Perspect 111:478–482

    Article  CAS  Google Scholar 

  • Huang X, Xu X, Wang Q, Zhang L, Chen L (2019) Assessment of agricultural carbon emissions and their spatiotemporal changes in China, 1997–2016. Int J Environ Res Public Heal 16(17):3105

    Article  CAS  Google Scholar 

  • IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories (IPCC National Greenhouse Gas Inventories Programme). https://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html

  • IPCC (2021) AR6 climate change 2021: the physical science basis (2023-08-21). https://www.ipcc.ch/report/ar6/wg1/#SPM. Accessed 21 Aug 2023

  • Jacobson MZ (2008) On the causal link between carbon dioxide and air pollution mortality. Geophys Res Lett 35(3):130–134

    Article  Google Scholar 

  • Jerrett M, Eyles J, Dufournaud C, Birch S (2003) Environmental influences on healthcare expenditures: an exploratory analysis from Ontario. J Epidemiol Commun H 57(5):334–338

    Article  CAS  Google Scholar 

  • Jiang Y, Chen S, Hu B, Zhou Y, Shi Z (2020) A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas. Environ Pollut 263:114653

    Article  CAS  Google Scholar 

  • Khoshnevis YS, Khanalizadeh B (2017) Air pollution, economic growth and healthcare expenditure. Econ Res-Ekon Istraz 30(1):1181–1190

    Google Scholar 

  • Kumar A, Ambade B et al (2020) Source identification and health risk assessment of atmospheric PM2.5-bound polycyclic aromatic hydrocarbons in Jamshedpur. India. Sustain Cities Soc 52:101801

    Article  Google Scholar 

  • Liu K, Shang Q, Wan C (2018) Sources and health risks of heavy metals in PM25 in a campus in a typical suburb area of Taiyuan. North China Atmos 9(2):46

    Google Scholar 

  • Mahato DK, Sankar TK, Ambade B et al (2023) Burning of municipal solid waste: an invitation for aerosol black carbon and PM2.5 over mid–sized city in India. Aerosol Sci Eng 7:341–354

    Article  Google Scholar 

  • Matteo LD, Matteo RD (1998) Evidence on the determinants of Canadian provincial government health expenditures: 1965–1991. J Health Econ 17(2):211–228

    Article  Google Scholar 

  • Mcdonald AJ, Balwinder S, Jat ML, Craufurd P, Gerard B (2020) Indian agriculture, air pollution, and public health in the age of covid. World Dev 135:105064

    Article  CAS  Google Scholar 

  • Medek DE, Schwartz J, Myers SS (2017) Estimated effects of future atmospheric CO2 concentrations on protein intake and the risk of protein deficiency by country and region. Environ Health Perspect 125(8):087002

    Article  Google Scholar 

  • Myers S, Zanobetti A, Kloog I et al (2014) Increasing CO2 threatens human nutrition. Nature 510:139–142

    Article  CAS  Google Scholar 

  • Qi XH, Ye SL, Cheng Y et al (2013) The game analysis between poverty and environment in ecologically fragile zones. Acta Ecol Sin 33(19):6411–6417

    Article  Google Scholar 

  • Saida Z, Kais S (2018) Environmental pollution, health expenditure and economic growth in the Sub-Saharan Africa countries: panel ARDL approach. Sustainable Cities and Society 41:833–840. https://doi.org/10.1016/j.scs.2018.04.034

  • Smith M, Myers S (2018) Impact of anthropogenic CO2 emissions on global human nutrition. Nature Clim Change 8:834–839

    Article  CAS  Google Scholar 

  • Smith M, Myers S (2019) Global health implications of nutrient changes in rice under high atmospheric carbon dioxide. Geohealth 3(7):190–200

    Article  CAS  Google Scholar 

  • Smith M, Golden C, Myers S (2017) Potential rise in iron deficiency due to future anthropogenic carbon dioxide emissions. GeoHealth 1:248–257

    Article  CAS  Google Scholar 

  • Sousa E, Quintino V, Palhas J et al (2016) Can environmental education actions change public attitudes? an example using the pond habitat and associated biodiversity. PLoS One 11(5):e0154440. https://doi.org/10.1371/journal.pone.0154440

  • Springmann M, Mason D, Robinson S et al (2016) Global and regional health effects of future food production under climate change: a modelling study. Lancet 387(10031):1937–1946

    Article  Google Scholar 

  • Tian F, Gao J, Yang K (2018) A quantile regression approach to panel data analysis of health-care expenditure in Organisation for Economic Co-operation and Development countries. Health Economics 27(12):1921–1944. https://doi.org/10.1002/hec.3811

    Article  Google Scholar 

  • Tian Y, Yin MH (2022) Re-evaluation of China’s agricultural carbon emissions: basic status, dynamic evolution and spatial spillover effects. Chin Rural Econ 447(3):104–127

    Google Scholar 

  • Valin H, Sands R, Mensbrugghe D et al (2014) The future of food demand: understanding differences in global economic models. Agric Econ 45:51–67

    Article  Google Scholar 

  • Wang ZH, Mansoor M, Asghar HSA, Zaidi WB (2019) Dynamic linkages among Co2 emissions, health expenditures, and economic growth: empirical evidence from Pakistan. Environ Sci Pollut Res 26:15285–15299

    Article  CAS  Google Scholar 

  • West TO, Marland G (2002) A synthesis of carbon sequestration, carbon emissions, and net carbon flux in agriculture: comparing tillage practices in the United States. Agric Ecosyst Environ 91(1–3):217–232

    Article  Google Scholar 

  • Wordley J, Ayres W (1997) Short term variations in hospital admissions and mortality and particulate air pollution. Occup Environ Med 54(2):108–116

    Article  CAS  Google Scholar 

  • Wu X, Zhang J, You L (2018) Marginal abatement cost of agricultural carbon emissions in China: 1993–2015. China Agric Econ Rev 10(4):558–571. https://doi.org/10.1108/caer-04-2017-0063

    Article  Google Scholar 

  • Xie W, Li G, Zhao D, Xie X, Wei Z, Wang W, Wang M, Li G, Liu W, Sun J et al (2015) Relationship between fine particulate air pollution and ischaemic heart disease morbidity and mortality. Heart 101(4):257–263

    Article  CAS  Google Scholar 

  • Xu X, Xu Z, Chen L, Li C (2019) How does industrial waste gas emission affect healthcare expenditure in different regions of china: an application of Bayesian quantile regression. Int J Environ Res Public Heal 16(15):2748

    Article  Google Scholar 

  • Xu X, Zhang N, Zhao D, Liu C (2021a) The effect of trade openness on the relationship between agricultural technology inputs and carbon emissions: evidence from a panel threshold model. Environ Sci Pollut Res 28(8):9991–10004

    Article  Google Scholar 

  • Xu X, Yang H, Yang H (2021b) The threshold effect of agricultural energy consumption on agricultural carbon emissions: a comparison between relative poverty regions and other regions. Environ Sci Pollut Res 28:55592–55602

    Article  CAS  Google Scholar 

  • Yang S, Fang D, Chen B (2019) Human health impact and economic effect for PM25 exposure in typical cities. Appl Energy 249(SEP.1):316–325

    Article  CAS  Google Scholar 

  • Yu K, Kerm P, Zhang J (2005) Bayesian quantile regression: an application to the wage distribution in 1990s Britain. Indian J Stat 67(2):359–377

    Google Scholar 

  • Yu K, Moyeed RA (2001) Bayesian Quantile Regression. Stat Probabil Lett 54(4):437–447

    Article  Google Scholar 

  • Zheng R, Zhang ZL, Zhang XX (2020) Higher education, public health awareness and health behavior: a discussion of the impact of college enrollment expansion on COVID19 epidemic prevention and control. Rev Econ Manag 36(06):5–15

    Google Scholar 

Download references

Funding

This work was supported by the Program of the National Social Science Fund of China (grant/award no. 21&ZD153) and Research team on agricultural modernization and industrial innovation and development (grant/award no. CJSYTD201710).

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Yuling collected and analyzed the data and wrote the first draft of this paper. Junyin and Na supervised this project, reviewed results, and edited the manuscript. Chengjie worked for the manuscript review.

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Correspondence to Yuling Hu.

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Hu, Y., Tan, J., Zhang, N. et al. Effect of agricultural carbon emissions on farmers’ health expenditure of China: evidence from the educational threshold effect. Environ Sci Pollut Res 30, 102586–102603 (2023). https://doi.org/10.1007/s11356-023-29559-6

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