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Journal of Integrative Agriculture  2024, Vol. 23 Issue (2): 384-396    DOI: 10.1016/j.jia.2023.12.010
Section 1: Nutrition Advanced Online Publication | Current Issue | Archive | Adv Search |

Resilience effects for household food expenditure and dietary diversity in rural western China

Xiao Han1, Kaiyu Lyu1, Fengying Nie2, Yuquan Chen3#

1 Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China

2 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

3 Academy of Global Food Economics and Policy, China Agricultural University, Beijing 100083, China

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摘要  更具韧性的农户生计系统对于改善脆弱家庭食品安全状况和膳食决策具有重要影响。本研究利用多指标多因素模型(MIMIC)量化分析了我国西部地区农村家庭的韧性能力,并分析了韧性能力的三个维度(抗逆能力、恢复能力、因应与演进能力)对韧性能力的贡献,探讨了食品支出膳食多样性与韧性能力的关联性。结果显示,尽管存在区域异质性,但农户韧性能力指数(RCI)在2015年至2021持续增长。具有较高韧性能力指数的家庭,呈现出与家庭食品支出增加和膳食选择多样化的正相关关系,其原因可能由于具有韧性能力的家庭,其处理风险和冲击的能力更强,能够将更多的钱用于食品支出,而不是为不确定性而储蓄。因此,政策制定者应支持农户采用更加有效的风险管理策略,提高农户生计系统的韧性水平,这对预防与饮食相关的人力资本损失将产生积极的溢出影响。

Abstract  

A more resilient livelihood is increasingly recognized as an efficient way to improve vulnerable households’ food security and optimize their dietary decisions.  This study quantifies rural household resilience in western China, identifies the three pillars (absorptive capacity, adaptive capacity, and transformative capacity) contribution to resilience, and then establishes the estimated Resilience Capacity Index (RCI) linked with food security and dietary diversity supported by the multiple indicator multiple cause (MIMIC) model.  Results show that, despite geographical heterogeneity, the RCI consistently increased from 2015 to 2021.  Households with a higher RCI inheriting better capacity to deal with risk and shocks are significantly and positively correlated with increasing food expenditure and diversifying food choices.  It can be because resilient households will allocate more money to food expenditure instead of saving for livelihood uncertainty.  Thus, policymakers can provide more incentives for rural households to adopt more dynamic and effective risk management strategies.  This, in turn, could yield positive spillover effects by preventing human capital loss associated with dietary-related chronic diseases and mortality.

Keywords:  resilience       food expenditure        dietary diversity        China        risk management

  
Received: 20 February 2023   Accepted: 13 November 2023
Fund: This paper was supported by the National Natural Science Foundation of China (NSFC) (71973138 and 72061137002) and the Ministry of Science and Technology of China (2023YFE0105009). 
About author:  Xiao Han, E-mail: hanxiao01@cass.cn; #Correspondence Yuquan Chen, E-mail: chenyuquan_cem@cau.edu.cn

Cite this article: 

Xiao Han, Kaiyu Lyu, Fengying Nie, Yuquan Chen. 2024.

Resilience effects for household food expenditure and dietary diversity in rural western China . Journal of Integrative Agriculture, 23(2): 384-396.

Alinovi L, D’errico M, Mane E, Romano D. 2010. Livelihoods strategies and household resilience to food insecurity: An empirical analysis to Kenya. European report on development. [2023-1-10]. https://www.technicalconsortium.org/wp-content/uploads/2014/05/Livelihoods-Strategies_Household-Res.pdf

Ansah I G K, Gardebroek C, Ihle R. 2019. Resilience and household food security: A review of concepts, methodological approaches and empirical evidence. Food Security, 11, 1187–1203.

Arouri M, Nguyen C, Youssef A B. 2015. Natural disasters, household welfare, and resilience: Evidence from rural Vietnam. World Development, 70, 59–77.

Bekele A E, Drabik D, Dries L, Heijman W. 2022. Resilience of Ethiopian agropastoral households in the presence of large-scale land investments. Ecological Economics, 200, 107543.

Béné C, Headey D, Haddad L, von Grebmer K. 2016. Is resilience a useful concept in the context of food security and nutrition programmes? Some conceptual and practical considerations. Food Security, 8, 123–138.

Bollen K, Lennox R. 1991. Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110, 305.

Bollen K A. 1989. Structural Equations with Latent Variables. John Wiley & Sons, USA.

Browne M, Ortmann G F, Hendriks S L. 2014. Developing a resilience indicator for food security monitoring and evaluation: Index construction and household classification for six African countries. Agrekon, 53, 31–56.

Carroll C D. 1994. How does future income affect current consumption? The Quarterly Journal of Economics, 109, 111–147.

Ciani F, Romano D. 2014. Testing for household resilience to food insecurity: Evidence from Nicaragua. In: 2014 Third Congress. Italian Association of Agricultural and Applied Economics (AIEAA), Alghero, Italy

Cissé J D, Barrett C B. 2018. Estimating development resilience: A conditional moments-based approach. Journal of Development Economics, 135, 272–284.

Constas M, Frankenberger T, Hoddinott J, Mock N, Romano D, Béné C, Maxwell D. 2014. A common analytical model for resilience measurement: Causal framework and methodological options. [2023-1-10]. https://www.fsnnetwork.org/sites/default/files/FSIN_Paper2_WEB_1dic%20%28WEB%29.pdf

Cutter S L, Barnes L, Berry M, Burton C, Evans E, Tate E, Webb J. 2008. A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18, 598–606.

D’Errico M, Di Giuseppe S. 2018. Resilience mobility in Uganda: A dynamic analysis. World Development, 104, 78–96.

D’Errico M, Pietrelli R. 2017. Resilience and child malnutrition in Mali. Food Security, 9, 355–370.

D’Errico M, Romano D, Pietrelli R. 2018. Household resilience to food insecurity: Evidence from Tanzania and Uganda. Food Security, 10, 1033–1054.

Dufour C, Kauffmann D, Marsland N. 2014. Enhancing the links between resilience and nutrition. In: Resilience for Food and Nutrition Security. IFPRI, Washington, D.C. pp. 107–117.

FAO. 2016. Resilience index measurement and analysis. [2023-1-10]. https://www.fao.org/documents/card/en?details=f86d84f6-def3-46ec-a5da-4ce312f3af7f/

Folke C. 2006. Resilience: The emergence of a perspective for social–ecological systems analyses. Global Environmental Change (Human and Policy Dimensions), 16, 253–267.

Gallardo M. 2018. Identifying vulnerability to poverty: A critical survey. Journal of Economic Surveys, 32, 1074–1105.

Gunderson L. 2000. Ecological resilience - in theory and application. Annual Review of Ecology and Systematics, 31, 425–439.

Kurosaki T. 2006. Consumption vulnerability to risk in rural Pakistan. Journal of Development Studies, 42, 70–89.

Ligon E, Schechter L. 2003. Measuring vulnerability. The Economic Journal, 113, 95–102.

Lipper L, Thornton P, Campbell B M, Baedeker T, Braimoh A, Bwalya M, Caron P, Cattaneo A, Garrity D, Henry K, Hottle, R, Jackson L, Jarvis A, Kossam F, Mann W, McCarthy N, Meybeck A, Neufeldt H, Remington T, Sen P T, et al. 2014. Climate-smart agriculture for food security. Nature Climate Change, 4, 1068–1072.

Lokosang L, Ramroop S, Zewotir T. 2014 . Indexing household resilience to food insecurity shocks: The case of South Sudan. Agrekon, 53, 137–159.

Manyena S B, Fordham M, Collins A. 2008. Disaster resilience and children: Managing food security in Zimbabwe’s Binga District. Children Youth and Environments, 18, 303–331.

Marshall T A, Stumbo P J, Warren J J, Xie X J. 2001. Inadequate nutrient intakes are common and are associated with low diet variety in rural, community-dwelling elderly. The Journal of Nutrition, 131, 2192–2196.

Meng L. 2013. Evaluating China’s poverty alleviation program: A regression discontinuity approach. Journal of Public Economics, 101, 1–11.

Mitchell T, Harris K. 2012. Resilience: A Risk Management Approach. Overseas Development Institute, London.

Mkupete M J, Donath L T, Mugizi F M. 2023. Household resilience to food and nutrition insecurity during Covid-19 in Tanzania. GeoJournal, 88, 1721–1735.

Nahalomo A, Iversen P O, Andreassen B A, Kaaya A, N Rukooko A B, Rukundo P M. 2022. Seasonality- and disaster effects on food variety and food insecurity coping strategies among a landslide-prone cohort. Clinical Nutrition ESPEN, 52, 229–239.

Quandt A. 2018. Measuring livelihood resilience: The household livelihood resilience approach HLRA . World Development, 107, 253–263.

Sandmo A. 1970. The effect of uncertainty on saving decisions. The Review of Economic Studies, 37, 353–360.

Sarma M. 2015. Measuring financial inclusion. Economics Bulletin, 35, 604–611.

Sibrian R, D’Errico M, Palma de Fulladolsa P, Benedetti-Michelangeli F. 2021. Household resilience to food and nutrition insecurity in Central America and the Caribbean. Sustainability, 13, 9086.

Smith L C, Frankenberger T R. 2018. Does resilience capacity reduce the negative impact of shocks on household food security? Evidence from the 2014 floods in Northern Bangladesh. World Development, 102, 358–376.

Takayama A. 1993. Analytical Methods in Economics. University of Michigan Press, USA.

Tan J, Peng L, Guo S. 2020. Measuring household resilience in hazard-prone mountain areas: A capacity-based approach. Social Indicators Research, 152, 1153–1176.

TANGO International. 2018. Methodological guide: A guide for calculating resilience capacity: Resilience and resilience capacities measurement options. [2023-1-10].  https://www.fsnnetwork.org/sites/default/files/Methodology_Guide_Nov2018508.pdf

Thompson C. 2022. Dietary health in the context of poverty and uncertainty around the social determinants of health. The Proceedings of the Nutrition Society, 81, 134–140.

Tomar B, Wason M. 2017. Assessment of food consumption pattern in Uttar Pradesh: A dietary diversity study. Indian Journal of Agricultural Sciences, 87, 846–852.

Upton J B, Cissé J D, Barrett C B. 2016. Food security as resilience: Reconciling definition and measurement. Agricultural Economics, 47, 135–147.

Ur Rahman I, Deng J, Liu J, Shafi M. 2021. Socio-economic status, resilience, and vulnerability of households under COVID-19: Case of village-level data in Sichuan province. PLoS ONE, 16, e0249270.

Walker B, Holling C S, Carpenter S R, Kinzig A P. 2004. Resilience, adaptability and transformability in Social-ecological systems. Ecology and Society, 9, 5.

World Bank. 2011. Increased productivity and food security, enhanced resilience and reduced carbon emissions for sustainable development: Opportunities and challenges for a converging agenda-country examples. World Bank, Washington, D.C.

Xiao H, Zheng X, Xie L. 2022. Promoting pro-poor growth through infrastructure investment: Evidence from the Targeted Poverty Alleviation program in China. China Economic Review, 71, 101729.

Zhang J, Wang Z, Du W, Huang F, Jiang H, Bai J, Zhang X, Zhang B, Wang H. 2021. Twenty-five-year trends in dietary patterns among Chinese adults from 1991 to 2015. Nutrients, 13, 1327.

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