Measuring adaptive capacity of Indian agriculture to climate change: An application of indicator approach
By: Jatav, Surendra Singh
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Material type: 
BookPublisher: Disaster & Development: NIDM Description: 13(2), Jul-Dec, 2024: p.69-94.Subject(s): Agro climatic zone, Agriculture, Adaptation, Adaptive capacity index, Climate change, Regional analysis, Temperature, India
In:
Disaster & Development: NIDMSummary: The present study is an attempt to examine the adaptive capacity of mainstream agro-climatic regions in India to climate change. The study uses unit-level data from the 77th round of NSSO and district-level data from the Population Census 2011, and Agricultural Census 2015-16. This study first normalized the differential data using an indicator approach, and then calculated an adaptive capacity index for different mainstream agro-climatic regions of India, excluding the Island region. A total of 31 indicators, covering three dimensions - environmental, social, and economic, to capture the regional extent and dimensions of climate change adaptations in Indian agriculture were used to construct an adaptive capacity index. The result shows Eastern Himalayan Region (EHR) had the highest environmental resource capacity (i.e., 0.702 index value), making it the best agro-climatic region to deal with changing climate. On the other hand, the East Coast Plains and Hills Region (ECPHR) had the lowest adaptive capacity (i.e., 0.438 index value), due to its relatively low environmental resource capacity. This indicates that environmental factors are essential to maintain higher resource capacity in dealing with climate change. Despite having higher economic and social resource capacities, the Western Dry Region (WDR) and the Trans-Gangetic Plain Region (TGPR) have lower environmental resource capacities. However, these agro-climatic regions rank 7 and 4, respectively, in the adaptive capacity index. The results provide the grass-roots status of Indian farmers' adaptive capacity across regional dimensions. The study emphasized the need for more research into the prospects for successful involvement in local and regional risk assessment and the improvement of adaptive capability.- Reproduced
https://nidm.gov.in/journal/PDF/Journal/NIDMJOURNAL_JulDec2024/NIDMJOURNAL_JulDec20244.pdf
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 13(2), Jul-Dec, 2024: p.69-94 | Available | AR137196 |
The present study is an attempt to examine the adaptive capacity of mainstream agro-climatic regions in India to climate change. The study uses unit-level data from the 77th round of NSSO and district-level data from the Population Census 2011, and Agricultural Census 2015-16. This study first normalized the differential data using an indicator approach, and then calculated an adaptive capacity index for different mainstream agro-climatic regions of India, excluding the Island region. A total of 31 indicators, covering three dimensions - environmental, social, and economic, to capture the regional extent and dimensions of climate change adaptations in Indian agriculture were used to construct an adaptive capacity index. The result shows Eastern Himalayan Region (EHR) had the highest environmental resource capacity (i.e., 0.702 index value), making it the best agro-climatic region to deal with changing climate. On the other hand, the East Coast Plains and Hills Region (ECPHR) had the lowest adaptive capacity (i.e., 0.438 index value), due to its relatively low environmental resource capacity. This indicates that environmental factors are essential to maintain higher resource capacity in dealing with climate change. Despite having higher economic and social resource capacities, the Western Dry Region (WDR) and the Trans-Gangetic Plain Region (TGPR) have lower environmental resource capacities. However, these agro-climatic regions rank 7 and 4, respectively, in the adaptive capacity index. The results provide the grass-roots status of Indian farmers' adaptive capacity across regional dimensions. The study emphasized the need for more research into the prospects for successful involvement in local and regional risk assessment and the improvement of adaptive capability.- Reproduced
https://nidm.gov.in/journal/PDF/Journal/NIDMJOURNAL_JulDec2024/NIDMJOURNAL_JulDec20244.pdf
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