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Acharya and Das

Table 2. District-wise climate vulnerability in Odisha, India.
Districts Climate vulnerability index Rank Rank category 0‑0.106= Low, 0.115‑0.170 =
Medium, 0. 171‑0.193 = High
Mayurbhanj 0.099 1 Low
Ganjam 0.103 2 Low
Sundargarh 0.105 3 Low
Angul 0.106 4 Medium
Keonjhar 0.115 5 Medium
Kandhamal 0.115 6 Medium
Sambalpur 0.126 7 Medium
Khordha 0.131 8 Medium
Cuttack 0.136 9 Medium
Koraput 0.141 10 Medium
Kalahandi 0.144 11 Medium
Dhenkanal 0.147 12 Medium
Jharsuguda 0.158 13 Medium
Bolangir 0.159 14 Medium
Rayagada 0.159 15 Medium
Gajapati 0.160 16 Medium
Jajpur 0.169 17 Medium
Jagatsinghpur 0.169 18 Medium
Balasore 0.170 19 Medium
Nuapada 0.171 20 High
Nabarangpur 0.171 21 High
Nayagarh 0.172 22 High
Deogarh 0.173 23 High
Malkangiri 0.174 24 High
Baragarh 0.181 25 High
Kendrapara 0.181 26 High
Puri 0.185 27 High
Boudh 0.190 28 High
Sonepur 0.191 29 High
Bhadrak 0.193 30 High
Source: Computed by authors using secondary data sources

system. The high climate-vulnerable districts are found to have a greater number of wasted children aged 0-5 years,
anemic among children aged 6-59 months, and anemic women aged 15-49 years. Findings also reveal that districts having
a high climate vulnerability burden also reveal high household malnutrition burdens, particularly among women and
children. The details of the analysis are presented in Table 3.
For better comprehending the relationship of climate vulnerability (through agriculture production system) concerning
household nutrition status, the study uses a correlation matrix, where the degree of relationship of the variables has been
observed. It is also found that climate vulnerability has a strong positive significant association with district-wise areas
under forest coverages (r=0.403*), gross cropped area (0.489*), the area under irrigation facilities (0.466**), and social-
economic factors such as percentage of scheduled caste population (0.510**), urbanization (0.427*), per-capita income
(0.712**), and average numbers of men-for-days employment generated under MGNREGS (0.688**). The results of
the correlation matrix portray that the climate vulnerability of Odisha has a close inter-association with the agriculture
production system through the gross cropped areas and area under forest coverage. The detailed results of the correlation

International Journal of Population Studies | 2020, Volume 6, Issue 1 47