Development of household vulnerability index to climate change induced drought: empirical evidence from rural farm households in Tamil Nadu, India

被引:0
作者
Balaganesh, G. [1 ]
Malhotra, Ravinder [2 ]
Sendhil, R. [3 ]
机构
[1] ICFRE Forest Res Inst, Silviculture & Forest Management Div, Resource Survey & Forest Econ Discipline, Dehra Dun 248006, Uttarakhand, India
[2] ICAR Natl Dairy Res Inst, Div Dairy Econ Stat & Management, Karnal 132001, Haryana, India
[3] Pondicherry Univ, Sch Management, Dept Econ, Pondicherry 605014, India
关键词
Climate change; Vulnerability; Drought; Principal component analysis; RICE-WHEAT SYSTEM; AGRICULTURE; SENSITIVITY; INDICATORS; TRACKING; HAZARD;
D O I
10.1007/s10668-025-06095-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Household vulnerability has an important role in understanding its effects on socio-economic conditions. Tamil Nadu is one among the highly vulnerable Indian states to drought affecting agriculture and allied sectors. This research develops a novel household drought vulnerability index (HDVI) for 300 rural farm households in Tamil Nadu, India using crop and dairy indicators, following the approach of Intergovernmental Panel on Climate Change (IPCC). Three districts were randomly selected from high (Ramanathapuram), moderate (Nagapattinam), and less (Erode) vulnerable categories of Tamil Nadu. The exposure index was calculated using secondary data on climate variables for 30 years (1984 to 2013), while sensitivity index and adaptive capacity index were calculated using primary data on various indicators for the agricultural year 2017-18. Principal component analysis (PCA) was employed for assigning weights to the normalized indicators. The highest weightage was found in the minimum temperature trend for rabi season (9.08) for exposure, the annual loss value of paddy crop due to drought (3.49) for sensitivity, and farm size (4.44) for adaptive capacity. Then, the households were classified into high [117 (39%)], moderate [69 (23%)] and less [114 (38%)] drought-vulnerable based on HDVI. Ramanathapuram (0.86) was highest in vulnerability, succeeded by Nagapattinam (0.60), whereas Erode (0.34) had the lowest. Besides, as per the vulnerability mapping, 82% of households in Ramanathapuram and 84% of households in Erode were high and low vulnerable to drought, respectively. More exposure and sensitivity in addition to less adaptive capacity in Ramanathapuram may be the reason for this, while vice-versa in Erode. Hence, government and policymakers could focus on regional level adaptation strategies in different vulnerable districts and give special attention to the understandings of local people to alleviate household vulnerability.
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页数:28
相关论文
共 72 条
[1]  
Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
[2]  
Ahmed M. T., 2018, SAARC Journal of Agriculture, V16, P7
[3]   Vulnerability assessment based on household views from the Dammar Char in Southeastern Bangladesh [J].
Alam, Edris ;
Khan, Md Sabur ;
Salam, Roquia .
NATURAL HAZARDS, 2022, 113 (01) :329-344
[4]  
[Anonymous], 2007, CLIMATE CHANGE IMPAC
[5]  
Ashalatha K. V., 2012, International Journal of Environmental Science and Development, V3, P368
[6]  
Babatunde R. O., 2009, Quarterly Journal of International Agriculture, V48, P305
[7]   Development of composite vulnerability index and district level mapping of climate change induced drought in Tamil Nadu, India [J].
Balaganesh, G. ;
Malhotra, Ravinder ;
Sendhil, R. ;
Sirohi, Smita ;
Maiti, Sanjit ;
Ponnusamy, K. ;
Sharma, Adesh Kumar .
ECOLOGICAL INDICATORS, 2020, 113
[8]  
Basavaraj N. D., 2016, Agricultural Economics Research Review, V29, P151, DOI 10.5958/0974-0279.2016.00027.6
[9]   A nonparametric analysis of climate change nexus on agricultural productivity in Africa: implications on food security [J].
Bernard Jr, Boima M. ;
Song, Yanping ;
Narcisse, Mulinga ;
Hena, Sehresh ;
Wang, Xin .
RENEWABLE AGRICULTURE AND FOOD SYSTEMS, 2023, 38
[10]  
Biswarup Saha Biswarup Saha, 2010, Indian Research Journal of Extension Education, V10, P1