AccScience Publishing / IJPS / Volume 6 / Issue 1 / DOI: 10.18063/ijps.v6i1.1069
RESEARCH ARTICLE

District-level analysis of climate vulnerability and household nutrition status among rural communities in Odisha, India

Arabinda Acharya1,2* Anup Kumar Das1,2
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1 Knowledge Management and Learning Expert, Bhubaneswar, Odisha, India
2 Deputy Director, TARINA Programme, CARE India Solutions for Sustainable Development, Bhubaneswar, Odisha, India
IJPS 2020, 6(1), 41–55; https://doi.org/10.18063/ijps.v6i1.1069
(This article belongs to the Special Issue Environment and Population Dynamics in South Asia)
© Invalid date by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Good nutrition is the foundation of human well-being that leads to better health, effective engagement of the workforce, and productive lifestyle, resulting in higher income and an integrated development trajectory. This paper attempts to comprehend the impact of climate vulnerability on household nutrition status through agriculture production systems in Odisha, India. This study using secondary data estimates a composite index of climate vulnerability on the agriculture ecosystem in Odisha at the district scale. Results suggest that among all the districts in Odisha, Bhadrak (0.193) is the most vulnerable district followed by Sonepur (0.191) and Baudh (0.190). On the other hand, Mayurbhanj (0.099) is the least vulnerable district followed by Ganjam (0.103) and Sundargarh (0.105). The fi ndings also suggest that there is a wide variation in vulnerability indicators among the districts in Odisha (0.099 – the lowest district value vs. 0.193 – the highest). The results of multivariate analysis evince that in households (both women and children) nutritional status, the composite value of “climate vulnerability” has a greater role in predicting the predictors in Odisha through the agriculture production system. The climate vulnerability has a positive and signifi cant relationship with forest area (r=0.403*), gross cropped area (r=0.489**), percent of scheduled caste population (r=0.510**), percent of urban area (r=0.427*), and per-capita income (r=0.712**). The fi ndings also signify that district-wise gross cropped area (t=3.01), average annual rainfall (t=4.05), area under irrigation (t=3.36), cropping intensity (t=3.60), and forest areas (t=1.81) play a more predictive role to determine the household nutritional status along with socioeconomic and health factors such as per-capita income (t=1.8), urbanization (t=1.91), and women’s anemic status (t=2.74). Drawing inferences from the empirical evidence, the study suggests that climate vulnerability has a much greater role in influencing household nutrition status, particularly with women and child nutrition through the agriculture production system. Appropriate policy level measures for climate-sensitive and adaptive action are the need of the hour to make agriculture production ecosystem contributes positively to nutrition status.

Keywords
Climate change
Climate vulnerability
Nutrition
India
References
[1]

Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P and de Onis M. (2013). Maternal and Child Undernutrition and Overweight in Low-income and Middle-income Countries. Lancet, 382:427-51.

[2]

Chhotray V and Few R. (2012). Post-Disaster Recovery and Ongoing Vulnerability: Ten Years after the Super-Cyclone of 1999 in Orissa, India. Global Environmental Change, 22(3):695-702.

[3]

Cook JT and Frank DA. (2008). Food Security, Poverty, and Human Development in the United States. Annals of the New York Academy of Sciences, 1136(1):193-209.

[4]

Das M. (2017). Impact of Climate Change on Agriculture Yield: Evidence from Odisha, India. International Journal of African and Asian Studies, 38:58-65.

[5]

Department of Agriculture and Farmers Empowerment. (2017). Report on Rejuvenation of Agriculture, Recommendations of State Level NITI Aayog Task Force. Odisha: Government of Odisha.

[6]

Department of Science and Technology. (2019). Report on Climate Vulnerability Assessment for the Indian Himalayan Region. New Delhi: Government of India.

[7]

Duncan J, Tompkins E, Dash J and Tripathy B. (2017). Resilience to Hazards: Rice Farmers in the Mahanadi Delta. India. Ecology and Society, 22(4):3.

[8]

Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, Singh GM, Gutierrez HR, Lu Y, Bahalim AN, Farzadfar F, Riley LM and Ezzati M. (2011). National, regional, and global trends in body mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet, 377(9765):557-567.

[9]

Global Nutrition Report. (2018). Available from https://www.globalnutritionreport.org/reports/global-nutrition-report-2018. [Last accessed on 2019 Oct 20].

[10]

GOI. (2004). Disaster management in India a Status Report. National Disaster Management Division. India: Ministry of Home Affairs, Government of India.

[11]

GOI. (2012). Disaster Management in India. Under the GOI-UNDP Project on Disaster Risk Reduction Program (2009-2012). India: Ministry of Home Affairs, Government of India.

[12]

GoO. (2016). State Disaster Management Plan. Orissa State Disaster Management Authority (OSDMA). Bhubaneswar: Government of Odisha.

[13]

Hoddinott J, Alderman H, Behrman JR, Haddad L and Horton S. (2013). The Economic Rationale for Investing in Stunting Reduction. Maternal Child Nutrition, 9(Supp 2):69-82.

[14]

Horton S and Steckel R. (2013). Malnutrition: Global Economic Losses Attributable to Malnutrition 1900-2000 and Projection to 2050. In: Lomborg B, editor. The Economics of Human Challenges. Cambridge, UK: Cambridge University Press.

[15]

International Food Policy Research Institute. (2014). Global Nutrition Report. Washington, DC: Actions and Accountability to Accelerate the World’s Progress on Nutrition.

[16]

International Institute for Population Sciences. (2005-06). National Family Health Survey-3, 2005-06. Mumbai, India: Government of India.

[17]

International Institute for Population Sciences. (2015-16). National Family Health Survey-4, 2015-16. Mumbai, India: Government of India.

[18]

Lloyd SJ, Kovats RS and Chalabi Z. (2011). Climate Change, Crop Yields, and Undernutrition: Development of a Model to Quantify the Impact of Climate Scenarios on Child Undernutrition; Public Media Environ Health Prospect, 119(12):1817-23.

[19]

Malik SM, Awan H and Khan N. (2012). Mapping Vulnerability to Climate Change and its Repercussions on Human Health in Pakistan. Globalization and Health, 8:31.

[20]

Ministry of Earth Science. (2017). India Metrological Department, Government of India for Different Years. Available from: http:// www.imd.gov.in/pages/city_weather_main.php. [Last accessed on 2019 Sep 12].

[21]

Mishra D, Sahu NC and Sahu D. (2015). Impact of Climate Change on Agriculture Production of Odisha (India): A Ricardian analysis. Regional Environmental Change, 16(2):58-65.

[22]

Mishra PK. (2017). Socio-Economic Impacts of Climate Change in Odisha: Issues, challenges and Policy Options. Journal of Climate Change, 3(1):93-107.

[23]

Mishra S. (2007). Household Livelihood and Coping Mechanism during drought among Oraon Tribe of Sundargarh District of Orissa. India. Journal of Social Sciences, 15(2):181-6.

[24]

Mishra, D and Sahu NC. (2014). Economic Impact of Climate Change on Agriculture Sector of Costal Odisha. Vol. 10. Berlin: Elsevier. p241-245.

[25]

Paolisso MJ, Hallman K, Haddad L and Regmi S. (2002). Does Cash Crop Adoption Detract from Child Care Provision? Evidence from Rural Nepal, Economic Development. Culture Change, 50(2):313-338.

[26]

Patel SK, Mathew B, Nanda A, Mohanty B and Saggurti N. (2020). Voices of Rural People: Community-level Assessment of Effects and Resilience to Natural Disasters in Odisha, India. International Journal of Population Studies, 6(1):3-15.

[27]

Patel SK, Mathew B, Nanda A, Pati S and Nayak H. (2019). A Review on Extreme Weather Events and Livelihood in Odisha, India. Mausam, 70(3):551-60.

[28]

Patel SK. (2016). Climate Change and Climate-Induced Disasters in Odisha, Eastern India: Impacts, Adaptation and Future Policy Implications. International Journal of Humanities and Social Science Invention, 5(8):60-3.

[29]

Patnaik U, Das PK and Bahinipati CS. (2016). Coping with Climatic Shocks: Empirical Evidence from Rural Coastal Odisha, India. Global Business Review, 17(1):161-75.

[30]

Patt AG, Tadross M, Nussbaumer P, Asante K, Metzger M, Rafael J, Goujon A and Brundrit G. (2010). Estimating Least-developed Countries’ Vulnerability to Climate Related Extreme Events over the Next 50 Years. Proceedings of the National Academy of Sciences of the United States of America, 107(4):1333-1337.

[31]

Popkin BM, Horton S, Kim S, Mahal A and Shuigao J. (2001). Trends in Diet, Nutritional Status, and Diet-related Noncommunicable Diseases in China and India: The Economic Costs of the Nutrition Transition. Nutrition Review, 59:379-90.

[32]

Rachel N, Levin C, Hale J, Hutchinson B. (2020). Double Burden of Malnutrition 4- Economic Effects of the Double Burden of Malnutrition. Lancet 395:156-64.

[33]

Radhakrishnan K, Sivaraman I, Jena SK, Sarkar S and Adhikari S. (2017). A Climate Trend Analysis of Temperature and Rainfall in India. Climate Change and Environmental Sustainability, 5(2):146-53.

[34]

Ray-Bennett NS. (2009). Multiple Disasters and Policy Responses in Pre-and Post-independence Orissa, India. Disasters, 33(2):27490.

[35]

Registrar General of India. (2011). Census of India-2011. New Delhi India: Government of India.

[36]

Samuel SM, Smith MR and Guth S. (2017). Climate Change and Global Food Systems: Potential Impacts on Food Security and Undernutrition. Annual Review of Public Health, 38:259-77.

[37]

Sharma R, Mohanty A and Islam SS. (2016). Impact of Climate Induced Natural Disasters in Costal Odisha Focused on Socio-Economic Vulnerability. MOJ Cell Science and Report, 3(5):146-51.

[38]

The Intergovernmental Panel on Climate Change. (2007). 4th Assessment Report, Working Group-II. United Nations: United Nations Environment Programme.

[39]

The Intergovernmental Panel on Climate Change. (2014). 5th Assessment Report, Impact Adoptions and Vulnerability. United Nations: United Nations Environment Programme.

[40]

United Nations Children’s Fund. (1990). Strategy for Improved Nutrition of Children and Women in Developing Countries. New York: United Nations Children’s Fund. Available from: http://www.unicef.org/nutrition/files/UnicefNutritionStrategy.pdf. [Last accessed on 2019 Sep 30].

[41]

United Nations Children’s Fund. (2006). Progress for Children: A Report Card on Nutrition, Number-4. New York: United Nations Children’s Fund. Available from: http://www.unicef.org/publications/files/Progress for Children No.pdf.

[42]

Women and Child Development Department. (2015). Nutrition in Odisha, Time to Act together is now Odisha Multi-Sectoral Nutrition Action Plan (2017-2020). Odisha: Government of Odisha.

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