Abstract
Food production requires a large amount of water. As a country facing a serious scarcity of per capita water resources and severe water pollution, China must explore the spatial distribution characteristics of its dietary water footprint. China is the world’s largest developing country, and water consumption inevitably has increased with its economic development. It is essential to explore the factors influencing the water footprint and water conservation mechanisms. Based on China Health and Nutrition Survey (CHNS) data, individual-level data of dietary water footprint and residents’ socio-economic characteristics were obtained. The decision tree was applied to classify the dietary water footprint based on socio-economic factors, and multinomial logistic regression was then performed to investigate the influence of each factor. The results showed that all six selected socio-economic factors had a statistically significant impact on the dietary water footprint. Income and education level were positively related to the dietary water footprint; urban residents, males, and residents with a higher body mass index (BMI) consumed more dietary water than rural residents, females, and those with a lower BMI, respectively. Age exhibited an inverted U-shaped influence. Understanding the drivers and disparities of the water footprint of food consumption can support the development of policy for energy conservation, which can ultimately help achieve the goal of reducing water waste.
Similar content being viewed by others
Availability of data and materials
The datasets analyzed in this research were available in the Carolina Population Center of the University of North Carolina. All materials were public and could be found on http://www.cpc.unc.edu/projects/china. This research accessed the data on 11 January 2021.
References
Bülbül H, Büyükkeklik A, Topal A, Özoğlu B (2020) The relationship between environmental awareness, environmental behaviors, and carbon footprint in Turkish households. Environ Sci Pollut Res 27:25009–22502. https://doi.org/10.1007/s11356-020-08813-1
Carole D, Qiu H, Hanasaki N, Mauzerall DL, Rodriguez-Iturbe I (2015) Balancing water resource conservation and food security in China. Proceedings of the NationalAcademy of Sciences 112:4588–4593. https://doi.org/10.1073/pnas.1504345112
Carolina Population Center (2011) China Health and Nutrition Survey (CHNS). University of North Carolina, Chapel Hill, NA, USA Available online: http://www.cpc.unc.edu/projects/china (accessed on 11 January 2021)
Chen B, Yang Q, Zhou S, Li JS, Chen GQ (2017) Urban economy’s carbon flow through external trade: spatial-temporal evolution for Macao. Energy Policy 110:69–78. https://doi.org/10.1016/j.enpol.2017.08.010
Chen B, Li JS, Wu XF, Han MY, Zeng L, Li Z, Chen GQ (2018) Global energy flows embodied in international trade: a combination of environmentally extended input–output analysis and complex network analysis. Appl Energy 210:98–107. https://doi.org/10.1016/j.apenergy.2017.10.113
Chen G, Zhu Y, Wiedmann T, Yao L, Xu L, Wang Y (2019) Urban-rural disparities of household energy requirements and influence factors in China: classification tree models. Appl Energy 250:1321–1335. https://doi.org/10.1016/j.apenergy.2019.04.170
Deng H, Wang C, Cai W, Liu Y, Zhang L (2020) Managing the water-energy-food nexus in China by adjusting critical final demands and supply chains: an input-output analysis. Sci Total Environ 720:137635. https://doi.org/10.1016/j.scitotenv.2020.137635
Duarte R, Sanchez-Choliz J, Bielsa J (2002) Water use in the Spanish economy: an input-output approach. Ecol Econ 43:71–85. https://doi.org/10.1016/S0921-8009(02)00183-0
Economist Intelligence Unit (2017) Global Food Security Index 2017: Measuring Food Security and the Impact of Resource Risks. https://foodsecurityindex.eiu.com/
Food and agricultural organization of United Nations (FAO)(2019). One of the Greatest Challenges of Our Time. Available online: http://www.fao.org/fao-stories/article/en/c/1185405/. Accessed on 14 Mar 2021
Harris F, Green RF, Joy EJM, Kayatz B, Haines A, Dangour AD (2017) The water use of Indian diets and socio-demographic factors related to dietary blue water footprint. Sci Total Environ 587:128–136. https://doi.org/10.1016/j.scitotenv.2017.02.085
Harris F, Moss C, Joy EJM, Quinn R, Scheelbeek PFD, Dangour AD, Green R (2020) The water footprint of diets: a global systematic review and meta-analysis. Adv Nutr 11(2):375–386. https://doi.org/10.1093/advances/nmz091
He P, Baiocchi G, Hubacek K, Feng K, Yu Y (2018) The environmental impacts of rapidly changing diets and their nutritional quality in China. Nature Sustainability 1:122–127 https://www.nature.com/articles/s41893-018-0035-y/
Heller MC, Willits-Smith A, Mahon T, Keoleian GA, Rose D (2021) Individual US diets show wide variation in water scarcity footprints. Nat Food 2:255–263. https://doi.org/10.1038/s43016-021-00256-2
Hoekstra AY, Chapagain AK (2006) Water footprints of nations: water use by people as a function of their consumption pattern. Integrated assessment of water resources and global change. Springer, Dordrecht: 35-48. https:// https://doi.org/10.1117/12.131625
Hoekstra AY, Chapagain AK, Mekonnen MM et al (2011) The water footprint assessment manual: Setting the global standard. Routledge http://www.fao.org/sustainable-food-value-chains/library/details/en/c/266049/
Information Office of the State Council of the People’s Republic of China (2019) Food Security in China (In Chinese) http://www.scio.gov.cn/ztk/dtzt/39912/41906/index.htm
Khan SAR (2019) The nexus between carbon emissions, poverty, economic growth, and logistics operations-empirical evidence from southeast Asian countries. Environ Sci Pollut Res 26:13210–13220. https://doi.org/10.1007/s11356-019-04829-4
Kim BK, Santo ES, Scatterday AP, Fry JP, Synk CM, Cebron SR, Mekonnene MM, Hoekstra AY, Pee S, Bloem MW, Neff RA, Nachman KE (2020) Country-specific dietary shifts to mitigate climate and water crises. Glob Environ Chang 5:10. https://doi.org/10.1016/j.gloenvcha.2019.05.010
Li M, Fu Q, Singh VP, Ji Y, Liu D, Zhang C, Li T (2019) An optimal modelling approach for managing agricultural water-energy-food nexus under uncertainty. Sci Total Environ 651:1416–1434. https://doi.org/10.1016/j.scitotenv.2018.09.291
Liang Y, Han A, Chai L, Zhi H (2020) Using the machine learning method to study the environmental footprints embodied in Chinese Diet. Int J Environ Res Public Health 17(19):7349. https://doi.org/10.3390/ijerph17197349
Mekonnen MM, Hoekstra AY (2011) The green, blue and grey water footprint of crops and derived crop products. Hydrol Earth Syst Sci 15:1577–1600. https://doi.org/10.5194/hess-15-1577-2011.3
Mekonnen MM, Hoekstra AY (2012) A global assessment of the water footprint of farm animal products. Ecosystems 15:401–415. https://doi.org/10.1007/s10021-011-9517-8
Ministry of Water Resources of the People’s Republic of China (2018) Chinese water resources bulletin 2018. China Water Power Press, Beijing, China http://www.mwr.gov.cn/sj/tjgb/szygb/201907/P020190829402801318777.pdf (In Chinese)
National Bureau of Statistics. China Statistical Yearbook (2018) China statistical publishing house. Beijing, China http://www.stats.gov.cn/tjsj/ndsj/ (In Chinese)
Niva V, Cai J, Taka M, Kummu M, Varis O (2019) China’s sustainable water-energy-food nexus by 2030: impacts of urbanization on sectoral water demand. J Clean Prod 251:119755. https://doi.org/10.1016/j.jclepro.2019.119755
Oswald Y, Owen A, Steinberger JK (2020) Publisher correction: large inequality in international and intranational energy footprints between income groups and across consumption categories. Nat Energy 20:606–609. https://doi.org/10.1038/s41560-020-0606-9
Pastor R, Guallar E (1998) Use of two-segmented logistic regression to estimate change-points in epidemiologic studies. Am J Epidemiol 148:631–642. https://doi.org/10.1093/aje/153.6.615
Vanham D, Comero S, Gawlik BM, Bidoglio G (2018) The water footprint of different diets within European sub-national geographical entities. Nature Sustainability 1(9):518–525 https://10.1038/s41893-018-0133-x
Wang L, Gao B, Hu Y, Huang W, Cui S (2020) Environmental effects of sustainability-oriented diet transition in China. Resour Conserv Recycl 158:104802. https://doi.org/10.1016/j.resconrec.2020.104802
White DJ, Hubacek K, Feng K, Sun L, Meng B (2018) The water-energy-food nexus in East Asia: a tele-connected value chain analysis using inter-regional input-output analysis. Appl Energy 210:550–567. https://doi.org/10.1016/j.apenergy.2017.05.159
Willett W, Rockström J, Loken B, Springmann M, Lang T, Vermeulen S, Garnett T, Tilman D, DeClerck F, Wood A, Jonell M, Clark M, Gordon LJ, Fanzo J, Hawkes C, Zurayk R, Rivera JA, de Vries W, Majele Sibanda L, Afshin A, Chaudhary A, Herrero M, Agustina R, Branca F, Lartey A, Fan S, Crona B, Fox E, Bignet V, Troell M, Lindahl T, Singh S, Cornell SE, Srinath Reddy K, Narain S, Nishtar S, Murray CJL (2019) Food in the Anthropocene: the eat–Lancet commission on healthy diets from sustainable food systems. The Lancet Commissions 18:31788–31784. https://doi.org/10.1016/S0140-6736(18)31788-4
Yang YX, Wang GZ, Pan XS (2002) China food composition. Peking University Medical Press, Beijing, China (in Chinese)
Yang X, Yi S, Qu S, Wang R, Wang Y, Xu M (2019) Key transmission sectors of energy-water-carbon nexus pressures in Shanghai. China J Cleaner Prod 225:27–35 https://10.1016/j.jclepro.2019.03.251
Zhang C, Chen X, Li Y, Ding W, Fu G (2018a) Water-energy-food nexus: concepts, questions and methodologies. J Clean Prod 195:625–639. https://doi.org/10.1016/j.jclepro.2018.05.194
Zhang P, Deng X, Long A, Hai Y, Li Y, Wang H, Xu H (2018b) Impact of social factors in agricultural production on the crop water footprint in Xinjiang, China. Water 10(9):1145. https://doi.org/10.3390/w10091145
Zhen S, Ma Y, Zhao Z, Yang X, Wen D (2018) Dietary pattern is associated with obesity in Chinese children and adolescents: data from China Health and Nutrition Survey (CHNS). Nutr J 17:68. https://doi.org/10.1186/s12937-018-0372-8
Zhuo L, Mekonnen MM, Hoekstra AY (2016) Benchmark levels for the consumptive water footprint of crop production for different environmental conditions: a case study for winter wheat in China. Hydrol Earth Syst Sci 20:4547–4559 https://hess.copernicus.org/articles/20/4547/2016/
Zografakis N, Menegaki AN, Tsagarakis KP (2008) Effective education for energy efficiency. Energy Policy 36:3226–3232. https://doi.org/10.1016/j.enpol.2008.04.021
Funding
This work was funded by the National Socail Science Fund of China (No. 19CZZ037) , the National Science Fundation of Zhejiang Province (No. LY20G030022), and the Interdisciplinary Research Project of Zhejiang University of Technology (No. GB202003005).
Author information
Authors and Affiliations
Contributions
YK and DY supervised this project. DY and ZP analyzed and performed the data. TW and ZP wrote and revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Baojing Gu
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
ESM 1
(DOCX 49 kb)
Rights and permissions
About this article
Cite this article
Pang, Z., Yan, D., Wang, T. et al. Disparities and drivers of the water footprint of food consumption in China. Environ Sci Pollut Res 28, 62461–62473 (2021). https://doi.org/10.1007/s11356-021-15125-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-15125-5