Geography

Geography

Analysis of the role of physical resilience on the spatial distribution of food insecurity in rural areas during the corona epidemic, case study: central part

Document Type : Research Article

Authors
1 PhD student in Geography and Rural Planning, University of Zanjan, Zanjan, Iran
2 Associate Professor of Geography, University of Zanjan, Zanjan, Iran.
3 Assistant Professor of Geography, University of Zanjan, Zanjan, Iran
Abstract
Extended Abstract
Introduction
Food security is the foundation of an advanced society and a key factor in the mental, psychological, and physical health of that society. Therefore, careful and comprehensive attention to this category, along with the identification of a multidimensional indicator that includes all aspects of food security—from meeting basic needs to fulfilling cellular requirements—is of great importance to researchers and policymakers in the pursuit of economic and political independence, in addition to livelihood aspects. Despite progress in the international agenda to reduce food insecurity in recent decades, food security remains a global concern. A significant number of populations are facing challenges in combating hunger worldwide. In the villages of the central part of Zanjan city, the onset of the COVID-19 pandemic has not spared these areas from its negative effects. Studies show that between 2010 and 2014, a total of 9,841 residents of the villages in the central part of Zanjan city were infected with the virus, and 217 people lost their lives. One of the pandemic’s effects is on the food insecurity of these villages. In recent years, due to a low level of facilities, a high risk of floods and earthquakes, poor quality of buildings and construction materials, and a lack of adequate access to nutrients, education, and healthcare, these villages have become more vulnerable to external shocks and exhibit a low level of resilience. In this regard, the present study examines the effects of physical resilience on the food insecurity of these villages.
According to the problem statement, the questions of the present study are:

What is the level of food insecurity in the villages of the central part of Zanjan during the COVID-19 pandemic?
What is the relationship between physical resilience indicators and the spatial distribution of food insecurity during the COVID-19 pandemic among the villages under study?
 

Methodology
The present study is applied in terms of type and descriptive-analytical in nature. The statistical population of this study includes all inhabited villages in the central part of Zanjan. As of 2021 (1400 in the Iranian calendar), the central part of Zanjan has 106 inhabited villages. Given that the unit of analysis in this study is the village, all villages in the district were analyzed. The methods of data collection in this study include library methods. The independent variable in this study is physical resilience, and the dependent variable is the food insecurity status of the rural settlements under study. Nineteen indicators have been used to examine the effects of physical resilience. In this study, to investigate and measure the level of food insecurity in the studied villages, raw data from the urban and rural household income and expenditure survey of the Statistical Center of Iran, which was available by village, were used. Physical resilience indices were also calculated from information related to the 2016 Farhangabadi census and from the statistics of the relevant organizations. In this study, descriptive statistical methods, including frequency distribution tables, measures of central tendency, and dispersion measures, were used to analyze items and frequencies. The central part of Zanjan city is located between the geographical coordinates of 47° 93′ to 48° 92′ east longitudes and 36° 45′ to 36° 93′ north latitudes.
 
Results and Discussion
The Optimized Hot Spot Analysis tool within the geographic information system environment was employed to analyze the outlier clustering related to the physical resilience of the studied villages. Positive z-score values of 1.96 and above, which are statistically significant with a confidence level of 90 to 99 percent and are represented in red, indicate high levels of physical resilience that have formed clusters with hot spots in the southeastern part of the region. Conversely, negative z-score values of -1.96 and below, which are also statistically significant and shown in blue, have formed cold spots. This interpretation suggests that areas with low resilience are clustered spatially, primarily located in the northwest. Studies indicate that, at the level of the villages studied, the villages in the Mahm rural district and the villages in the Zanjan Rud Bala rural district exhibit the most clusters related to food insecurity. It can be expected that these villages will demonstrate significant similarities to each other in at least one aspect. Assessments reveal that the villages in these two rural districts share characteristics such as diversity of economic activities, percentage of elderly population, percentage of young population, dependency burden, economic participation, amount of rainfed land, amount of irrigated land, mechanization coefficient, and commercialization of agriculture, which have contributed to the formation of a cluster pattern.
 
Conclusion                                                                                             
The present study investigated the spread of the coronavirus disease and its impact on the population and food security in the rural districts of the central part of Zanjan city. The results indicate a significant spread of the disease and its profound effects on the daily lives of the people in this region. The average percentage of individuals infected with the coronavirus in these rural districts is reported to be 27.97 percent, with a mortality rate of 2.49 percent among those infected. These figures not only highlight the high prevalence of the disease but also emphasize the urgent need for attention to health and preventive measures.
Significant differences in the percentage of cases and deaths have been observed between districts. For instance, Qolt and Dehstan have the highest percentage of cases, while Dahm Dehstan has the highest percentage of deaths. These differences may be attributed to various factors, including access to health services, public awareness, and socio-economic conditions. In particular, areas with limited access to health services clearly exhibit a higher likelihood of increased prevalence and mortality. These findings are particularly important for policymakers and public health officials, as they can help identify vulnerable areas and allocate resources more effectively. Investing in resilient and sustainable infrastructure has been proposed as a key strategy to improve food security in communities. Effective transportation and distribution networks during crises can help provide food to populations, thereby reducing hunger and enhancing food security. Implementing these strategies can mitigate the negative impacts of health crises and improve the quality of life at the local level.
 
Keywords

Subjects


  1. Adelodun, B., Kim, S. H., & Choi, K. S. (2021). Assessment of food waste generation and composition among Korean households using novel sampling and statistical approaches. Waste Management, 122(1), 71-80.‏ https://doi.org/10.1016/j.wasman.2021.01.003.
  2. Agarwal, B. (2021). Livelihoods in COVID times: Gendered perils and new pathways in India. World Development, 139,(1),1-15. https://doi.org/10.1016/j.worlddev.2020.105312.
  3. Ahmed, F., Islam, A., Pakrashi, D., Rahman, T., & Siddique, A. (2021). Determinants and dynamics of food insecurity during COVID-19 in rural Bangladesh. Food Policy, 101(1), 1-21. https://doi.org/10.1016/j.foodpol.2021.102066.
  4. Alam, G. M. M., Alam, K., Mushtaq, S., & Filho, W. L. (2018). How do climate change and associated hazards impact on the resilience of riparian rural communities in Bangladesh? Policy implications for livelihood development. Environmental Science and Policy, 84(4), 7–18. https://doi.org/10.1016/j.envsci.2018.02.012.
  5. Antrobus, D. (2011). Smart green cities: from modernization to resilience?. Urban Research & Practice, 4(2), 207-214. https://doi.org.1080/17535069.2011.579777.
  6. Argaw, T L., Jasmine, F., Elisabetta, A.,Sukumar, V. (2023). Children's Educational Outcomes and Persistence and Severity of Household Food Insecurity in India: Longitudinal Evidence from Young Lives , 153(4):1101-1110. https://doi.org/10.1016/j.tjnut.2023.02.008.
  7. B ́en ́e, C. (2020). resilience of local food systems and links to food security – areview of some important concepts in the context of COVID-19 and other shocks.Food Security, 12(4), 805–822. https://doi.org/10.1007/s12571-020-01076-1.
  8. Balgah, R. A., Benjamin, E. O., Kimengsi, J. N., & Buchenrieder, G. (2023). COVID-19 impact on agriculture and food security in Africa. A systematic review and meta-analysis. World Development Perspectives, 31, 100523, https://doi.org/10.1016/j.wdp.2023.100523
  9. Becerra, M. B., Hassija, C. M., & Becerra, B. J. (2017). Food insecurity is associated with unhealthy dietary practices among US veterans in California. Public Health Nutrition, 20(14), 2569-2576.‏ https://doi.org/10.1017/S1368980016002147.
  10. Béné, C. (2020). Resilience of local food systems and links to food security–A review of some important concepts in the context of COVID-19 and other shocks. Food security, 12(4), 805-822.‏ https://doi.org/10.1007/s12571-020-01076-1.
  11. Béné, C., Newsham, A., & Davies, M. (2008). Review article: resilience, poverty and development. Annu Conf Hum Dev Capab Assoc New Delhi 623(4), 1–30. https://doi.org/10.1002/jid.2992.
  12. Benti, D. W., Biru, W. T., & Tessema, W. K. (2022). The effects of commercial orientation on (Agro) pastoralists’ household food security: Evidence from (Agro) pastoral communities of Afar, Northeastern Ethiopia. Sustainability, 14(2), 731-749.‏ https://doi.org/10.3390/su14020731.
  13. Bhattacharjee, K., & Behera, B. (2018). Determinants of household vulnerability and adaptation to floods: Empirical evidence from the Indian State of West Bengal. International journal of disaster risk reduction, 31(4), 758-769. https://doi.org/10.1016/j.ijdrr.2018.07.017.
  14. Bickel, G., Nord, M., Price, C., Hamilton, W. L., & Cook, J. T. (2000). Guide to measuring household food security, revised 2000. USDA. Food and Nutrition Service. Available at: www. fns. usda. gov/fsec/files/fsguide. pdf U, 1. https://nhis.ipums.org/nhis/resources/FSGuide.pdf.
  15. Bishop, N.J., Wang, K., (2018). Food insecurity, comorbidity, and mobility limitations among older U.S. adults: findings from the health and retirement study and health care and nutrition study. Prev. Med. 114(1), 180–187. https://doi.org/10.1016/j.ypmed.2018.07.001.
  16. Carter, C., B. Barrett . (2006). The economics of poverty traps and persistent poverty: An asset-based approach, The Journal of DevelopmentStudies, 42(2), 178-199. https://doi.org/10.1080/00220380500405261.
  17. Constas, M., Frankenberger, T., & Hoddinott, J. (2014). Resilience measurement principles: Toward an agenda for measurement design. Food Security Information Network, Resilience Measurement Technical Working Group, Technical Series, 1(1),1-15. https://www.fsinplatform.org/sites/default/files/paragraphs/documents/FSIN_TechnicalSeries_1.pdf.
  18. D’Souza, A., & Jolliffe, D. (2016). A profile of food insecurity dynamics in rural and small town Ethiopia. Ethiopian Journal of Economics, 25(2), 77-112.‏ https://doi.org/10.22004/ag.econ.259504.
  19. de Boef, W. S., Borman, G. D., Gupta, A., Subedi, A., Thijssen, M. H., Aga, A. A.,... & Oyee, P. (2021). Rapid assessments of the impact of COVID-19 on the availability of quality seed to farmers: advocating immediate practical, remedial and preventative action. Agricultural Systems, 188(1), 1-17. https://doi.org/10.1016/j.agsy.2020.103037.
  20. Deaton, B. J., & Deaton, B. J. (2020). Food security and Canada's agricultural system challenged by COVID‐ Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 143-149.‏ https://doi.org/10.1111/cjag.12227.
  21. Devereux, S., Béné, C., & Hoddinott, J. (2020). Conceptualising COVID-19’s impacts on household food security. Food security, 12(4), 769-772. https://doi.org/1007/s12571-020-01085-0.
  22. Diao, X., & Mahrt, K. (2020). Assessing the impacts of COVID-19 on household incomes and poverty in Myanmar: A microsimulation approach. Intl Food Policy Res Inst.5(2),1-21. https://doi.org/10.2499/p15738coll2.133859.
  23. Durizzo, K., Asiedu, E., Van der Merwe, A., Van Niekerk, A., & Günther, I. (2021). Managing the COVID-19 pandemic in poor urban neighborhoods: The case of Accra and Johannesburg. World Development, 137(3), 1-19. https://doi.org/10.1016/j.worlddev.2020.105175.
  24. Elolu, S., Agako, A., & Okello, D. M. (2023). Household food security, child dietary diversity and coping strategies among rural households. The case of Kole District in northern Uganda. Dialogues in Health, 3(1), 1-20, https://doi.org/10.1016/j.sciaf.2023.e01801.
  25. (2020). Declaration of the World Summit on Food Security, World Summit on FoodSecurity, Rome, 16–18 November. https://ftp.fao.org/docrep/fao/Meeting/018/k6050e.pdf.
  26. Farcas, A. C., Galanakis, C. M., Socaciu, C., Pop, O. L., Tibulca, D., Paucean, A.,... & Socaci, S. A. (2020). Food Security during the Pandemic and the Importance of the Bioeconomy in the New Era. Sustainability, 13(1), 150-166. https://doi.org/10.3390/su13010150.
  27. Ferguson, C. E., Tuxson, T., Mangubhai, S., Jupiter, S., Govan, H., Bonito, V.,... & Waide, M. (2022). Local practices and production confer resilience to rural Pacific food systems during the COVID-19 pandemic. Marine Policy, 137(2), 1-21.‏ https://doi.org/10.1016/j.marpol.2022.104954.
  28. Folke, C. (2006). Resilience: The emergence of a perspective for social–ecological systems analyses. Global environmental change, 16(3), 253-267. https://doi.org/10.1016/j.gloenvcha.2006.04.002.
  29.  
  30.  
  31. Gallegos, D., Booth, S., Pollard, C. M., Chilton, M., & Kleve, S. (2023). Food security definition, measures and advocacy priorities in high-income countries: a Delphi consensus study. Public Health Nutrition, 26(10), 1986-1996. https://doi.org/10.1017/S1368980023000915.
  32. Garnett, P., Doherty, B., & Heron, T. (2020). Vulnerability of the United Kingdom’s food supply chains exposed by COVID-19. Nature Food, 1(6), 315-318.‏ https://doi.org/101038/s43016-020-0097-7.
  33. Gundersen, C., & Ziliak, J. P. (2018). Food insecurity research in the United States: where we have been and where we need to go. Applied Economic Perspectives and Policy, 40(1), 119-135. https://doi.org/10.1093/aepp/ppx058.
  34. Hanson, K. L., & Connor, L. M. (2014). Food insecurity and dietary quality in US adults and children: a systematic review. The American journal of clinical nutrition, 100(2), 684-692.‏ https://doi.org/10.3945/ajcn.114.084525.
  35. Haro-Ramos, A. Y., & Bacong, A. M. (2022). Prevalence and risk factors of food insecurity among Californians during the COVID-19 pandemic: Disparities by immigration status and ethnicity. Preventive medicine, 164(4), 1-20.‏ https://doi.org/10.1016/j.ypmed.2022.107268.
  36. Harrigan, J. (2008). Food insecurity, poverty and the Malawian Starter Pack: Fresh start or false start?. Food Policy, 33(3), 237-249.‏ https://doi.org/10.1016/j.foodpol.2007.09.001.
  37. Henry, D., & Ramirez-Marquez, J. E. (2012). Generic metrics and quantitative approaches for system resilience as a function of time. Reliability Engineering & System Safety, 99(1), 114-122. https://doi.org/10.1016/j.ress.2011.09.002.
  38. Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016). A review of definitions and measures of system resilience. Reliability Engineering & System Safety, 145(2), 47-61. https://doi.org/10.1016/j.ress.2015.08.006.
  39. Hussein, M., Law, C., & Fraser, I. (2021). An analysis of food demand in a fragile and insecure country: Somalia as a case study. Food Policy, 101(3), 102092. https://doi.org/10.1016/j.foodpol.2021.102092. ‏
  40. Jones, A. D., Ngure, F. M., Pelto, G., & Young, S. L. (2013). What are we assessing when we measure food security? A compendium and review of current metrics. Advances in nutrition, 4(5), 481-505.‏ https://doi.org/10.3945/an.113.004119.
  41. Jones, L. (2019). Resilience isn't the same for all: Comparing subjective and objective approaches to resilience measurement. Wiley Interdisciplinary Reviews: Climate Change, 10(1), 1-20.‏ https://doi.org/10.1002/wcc.552.
  42. Karnik, H., & Peterson, H. H. (2023). Food security among low-income immigrant households and the role of social capital: A case study of Somali-American households in the Midwestern United States. Food Policy, 117(1), 1-22.‏https://doi.org/10.1016/j.foodpol.2023.102456.
  43. Lee, A. M., Scharf, R. J., & DeBoer, M. D. (2018). Food insecurity is associated with prediabetes and dietary differences in US adults aged 20–39. Preventive Medicine, 116(2), 180-185.‏ https://doi.org/10.1016/j.ypmed.2018.09.012.
  44. Leung, C. W., & Tester, J. M. (2019). The association between food insecurity and diet quality varies by race/ethnicity: an analysis of national health and nutrition examination survey 2011-2014 results. Journal of the Academy of Nutrition and Dietetics, 119(10), 1676-1686.‏ https://doi.org/10.1016/j.jand.2018.10.011.
  45. Leys, C., & Fossion, P. (2014). Disentangling Sense of Coherence and Resilience in Case of Multiple Traumas. Journal of Affective Disorders ,160(1),21-26.‏ https://doi.org/10.1016/j.jad.2014.02.029.
  46. Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child development, 71(3), 543-562. https://doi.org/10.1111/1467-8624.00164.
  47. Mastrorillo, M., Licker, R., Bohra-Mishra, P., Fagiolo, G., Estes, L. D., & Oppenheimer, M. (2016). The influence of climate variability on internal migration flows in South Africa. Global Environmental Change, 39(2), 155-169.‏ https://doi.org/10.1016/j.gloenvcha.2016.04.014.
  48. Melketo, T., Schmidt, M., Bonatti, M., Sieber, S., Müller, K., & Lana, M. (2021). Determinants of pastoral household resilience to food insecurity in Afar region, northeast Ethiopia. Journal of arid environments, 188(2), 1-20.‏ https://doi:10.1016/j.jaridenv.2021.104454.
  49. Nahid, N., Lashgarara, F., Farajolah Hosseini, S. J., Mirdamadi, S. M., & Rezaei-Moghaddam, K. (2021). Determining the resilience of rural households to food insecurity during drought conditions in Fars province, Iran. Sustainability, 13(15), 1-19.‏ https://doi.org/10.3390/su13158384.
  50.  
  51.  
  52. Nord, M., Andrews, M., & Winicki, J. (2002). Frequency and duration of food insecurity and hunger in US households. Journal of Nutrition Education and Behavior, 34(4), 194-201.‏ https://doi.org/10.1016/S1499-4046(06)60093-6.
  53. Odoms-Young, A., & Bruce, M. A. (2018). Examining the impact of structural racism on food insecurity: implications for addressing racial/ethnic disparities. Family & community health, 41(2), 1-15. https://doi.org/10.1097/FCH.0000000000000183.
  54. Patriarca, R., Di Gravio, G., Woltjer, R., Costantino, F., Praetorius, G., Ferreira, P., & Hollnagel, E. (2020). Framing the FRAM: A literature review on the functional resonance analysis method. Safety Science, 129(3), 1-15. https://doi.org/10.1016/j.ssci.2020.10482.
  55. Pimm, S. L. (1984). The complexity and stability of ecosystems. Nature, 307(5949), 321-326.‏ http://dx.doi.org/10.1038/307321a0.
  56. Rasul, G. (2021). Twin challenges of COVID-19 pandemic and climate change for agriculture and food security in South Asia. Environmental Challenges, 2(1), 1-15. https://doi.org/10.1016/j.envc.2021.100027.
  57. Reyers, B., Folke, C., Moore, M. L., Biggs, R., & Galaz, V. (2018). Social-ecological systems insights for navigating the dynamics of the Anthropocene. Annual Review of Environment and Resources, 43(1), 267-289.http://dx.doi.org/10.1146/annurev-environ-110615-085349.
  58. Rosenberg, A. R., Yi-Frazier, J. P., Eaton, L., Wharton, C., Cochrane, K., Pihoker, C.,... & McCauley, E. (2015). Promoting resilience in stress management: a pilot study of a novel resilience-promoting intervention for adolescents and young adults with serious illness. Journal of pediatric psychology, 40(9), 992-999.‏ https://doi.org/10.1037/fsh0000281.
  59. Sarker, M. N. I., Wu, M., Alam, G. M., & Shouse, R. C. (2020). RETRACTED: Livelihood resilience of riverine island dwellers in the face of natural disasters: Empirical evidence from Bangladesh.‏ Land Use Policy,95(2), 1-19. https://doi.org/10.1016/j.landusepol.2020.104599.
  60. Seligman, H. K., & Berkowitz, S. A. (2019). Aligning programs and policies to support food security and public health goals in the United States. Annual review of public health, 40(1), 319-337. https://doi.org/10.1146/annurevpublhealth-040218-044132.
  61. Sen, A. (1981). Poverty and Famines: An Essay on Entitlement and Deprivation. Oxford: Clarendon Pres.
  62. Sen, A. (1982). Poverty and famines: an essay on entitlement and deprivation. Oxford university press.
  63. Shekuru, A. H., Berlie, A. B., & Bizuneh, Y. K. (2022). Rural household livelihood strategies and diet diversification in North Shewa, Central Ethiopia. Journal of Agriculture and Food Research, 9(1), 1-19. https://doi.org/10.1016/j.jafr.2022.100346.
  64. Silverman, A. M., Molton, I. R., Alschuler, K. N., Ehde, D. M., & Jensen, M. P. (2015). Resilience predicts functional outcomes in people aging with disability: A longitudinal investigation. Archives of physical medicine and rehabilitation, 96(7), 1262-1268.‏ https://doi.org/1016/j.apmr.2015.02.023.
  65. Southwick, S. M., Bonanno, G. A., Masten, A. S., Panter-Brick, C., & Yehuda, R. (2014). Resilience definitions, theory, and challenges: interdisciplinary perspectives. European journal of psychotraumatology, 5(1), 1-18. https://doi.org/10.3402/ejpt.v5.25338.
  66. Tierney, K., & Bruneau, M. (2007). Conceptualizing and measuring resilience: A key to disaster loss reduction. TR news, 250(2),1-16. ‏https://doi.org/10.1016/j.worlddev.2022.105838.
  67. Vu, K., Vuong, N. D. T., Vu-Thanh, T. A., & Nguyen, A. N. (2022). Income shock and food insecurity prediction Vietnam under the pandemic. World Development, 153(2), 1-16.‏ https://doi.org/10.2139/ssrn.3889730.
  68. Yang, B., Zhang, L., Zhang, B., Xiang, Y., An, L., & Wang, W.(2022). Complex equipment system resilience: Composition, measurement and element analysis. Reliability Engineering & System Safety, 228(2), 10-28.‏ https://doi.org/10.1016/j.ress.2022.108783.