Abstract
Climate risks, emerging threats to humanity, increase the level of disaster in many ways. A comprehensive understanding of climate risks and their impacts is a pre-requisite for developing suitable adaptation strategies toward sustainable development. This paper assessed the socio-economic vulnerability based on sustainable development goals (SDG) in the state of Tamil Nadu in the context of climate risks to comprehend the links between climate risks and the physical setting of Tamil Nadu, along with its capability to adapt. An indicator-based methodology of vulnerability assessment as per the Intergovernmental Panel on Climate Change (IPCC) was adopted to understand the links between the sensitivity of the state and its ability to cope and adapt. The climate extremities, which cause risks, were determined based on India Meteorological Department (IMD) norms. The indicators which directly or indirectly label specific/integrated goals of SDG were used as sensitivity and adaptive capacity indicators. Data from each district for all identified indicators were collected from authentic sources and categorized into four components: natural, social, economic, and infrastructure. The indicators were analyzed and weights were assigned to the indicators using Principal Component Analysis (PCA). The district-wise vulnerability indices were calculated and categorized as natural vulnerability index (NVI), social vulnerability index (SVI), economic vulnerability index (EVI), infrastructure vulnerability index (IVI), and overall cumulative vulnerability index (CVI). The study revealed the significant contributing indicators of risk and the vulnerable districts of Tamil Nadu. Ariyalur was identified as the most vulnerable district due to its high sensitivity and low adaptive capacity to climate risks. The other top vulnerable districts were Nagapattinam, Ramanathapuram, Thiruvarur, Thiruvallur, Thanjavur, Perambalur, Pudukottai, and Thiruvannamalai. The outcome of the study may be deliberated as an indicator of alarming socio-economic and infrastructural conditions of the districts and may help planners to prioritize their actions toward climate resilience.
Similar content being viewed by others
Availability of data and material
The data used in this research will be available (by the corresponding author), upon reasonable request
Code availability
Not applicable.
References
Adger WN (1999) Exploring income inequality in rural, coastal Vietnam. J Dev Stud 35:96–119
Ahsan Md N, Warner J (2014) The socioeconomic vulnerability index: a pragmatic approach for assessing climate change led risks-a case study in the south-western coastal Bangladesh. International Journal of Disaster Risk Reduction 8:32–49
Bal PK, Ramachandran A, Geetha R, Bhaskaran B, Thirumurugan P, Indumathi J, Jayanthi N (2016) Climate change projections for Tamil Nadu, India: deriving high-resolution climate data by a downscaling approach using PRECIS. Theor Appl Climatol 123:523–535
Census of India (2011) Provisional Populations Total, Paper 2, Volume 1, Rural- Urban Distribution, Tamil Nadu, Series 34 pp. 44, https://censusindia.gov.in/2011-prov-results/paper2/data_files/tamilnadu/Tamil%20Nadu_PPT2_Volume1_2011.pdf
Collins M, Sutherland M, Bouwer L, Cheong S.-M, Frölicher T, Des Combes H. Jacot, Roxy M. Koll, Losada I, McInnes K, Ratter B, Rivera-Arriaga E, Susanto RD, Swingedouw D, and Tibig L, (2019): Extremes, abrupt changes and managing risk. In: IPCC special report on the ocean and cryosphere in a changing climate [H.-O. Pörtner,D.C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N.M. Weyer (eds.)]. In press
Dasgupta, P, Morton JF, Dodman D, Karapinar B, Meza F, Rivera-Ferre MG, Sarr Toure A, and Vincent KE (2014) Rural areas. In: Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L.White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 613–657
De Silva MMGT, Akiyuki K (2018) Socioeconomic vulnerability to disaster risk: a case study of flood and drought impact in a rural Sri Lankan community. Ecol Econ 152:131–140
Eckstein D, Künzel V, Schäfer L, Winges M (2020) Briefing paper -global climate risk index 2020; who suffers most from extreme weather events? Weather-related loss events in 2018 and 1999 to 2018. German watch publication. https://germanwatch.org/sites/germanwatch.org/files/20-2-01e%20Global%20Climate%20Risk%20Index%202020_14.pdf
Feroze SM, Chauhan AK (2010) Performance of dairy self help groups (SHGs) in India: principal component analysis (PCA) approach. Ind Jn of Agri Econ 65(2):308–320
Gbetibouo GA, Ringler C (2009) Mapping south African farming sector vulnerability to climate change and variability. A subnational assessment. IFPRI discussion paper 00885. International Food Policy Research Institute (IFPRI), Washington
Global Gender and Climate Alliance (2016) Gender and climate change: a closer look at existing evidence, November 2016 27 https://wedo.org/wp-content/uploads/2016/11/GGCA-RP-FINAL.pdf
Guhathakurta P, Sreejith OP, Menon PA (2011) Impact of climate change on extreme rainfall events and flood risk in India. J Earth Syst Sci 120(3):359–373
Hao-Tang J, Ballinger R, Jaleel A, Ting K-H (2020) Development and application of a socioeconomic vulnerability indicator framework (SVIF) for local climate change adaptation in Taiwan. Sustainability 12(1585):1–27. https://doi.org/10.3390/su12041585
Human Development Report (2017) Tamil Nadu human development report, State Planning Commission, Government of Tamil Nadu, http://www.spc.tn.gov.in/tnhdr2017.html
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pp.
IPCC (2014) Summary for policymakers In: Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change ed C B Field et al. (Cambridge) (Cambridge University Press) (Cambridge, United Kingdom and New York, NY, USA) pp 1–32
IPCC (2018) Summary for Policymakers. In: Global Warming of 1.5 °C. An IPCC Special Report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty [Masson-Delmotte, V., P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J.B.R. Matthews, Y. Chen, X. Zhou, M.I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, and T. Waterfield (eds.)]. In Press
ISF Report (2017) India State of Forest Report-Tamil Nadu State. Pp.1–6 https://fsi.nic.in/isfr2017/tamilnadu-isfr-2017.pdf
Jeganathan A, Andimuthu R, Kandasamy P (2019) Trends of the observed temperature and its variations in the Tamil Nadu State of India. Theor Appl Climatol 137:103–116
Livia B, Sarah Burch, Stewart Cohen, Robinson John (2010) A participatory integrated assessment approach to local climate change responses: linking sustainable development with climate change adaptation & mitigation. In Clair Shifting the discourse: climate change as an issue of human security. O’Brien K. and A. L. Claire (Eds.), Springer, Berlin, Heidelberg, New York.
Lynn K, MacKendrick K, Donoghue EM (2011) Social vulnerability and climate change: synthesis of literature. Gen. Tech. Rep. PNW-GTR-838, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR.
Maiti S, Jha SK, Garai S, Nag A, Chakravarty R, Kadian KS, Chandel BS, Datta KK, Upadhyay RC (2015) Assessment of social vulnerability to climate change in the eastern coast of India. Clim Chang 131:287–306
Malakar K, Mishra T (2016) Assessing socio-economic vulnerability to climate change: a city-level index-based approach. Climate and Development, 1–14. https://doi.org/10.1080/17565529.2016.1154449
McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (2001) Climate change 2001: impacts, adaptation, and vulnerability, Eds edn. Cambridge University Press, Cambridge
Mendelsohn R, Dinar A, Williams L (2006) The distributional impact of climate change on rich and poor countries. Environ Dev Econ 11:159–178
Monterroso A, Conde C, Gay C, Gómez D, López J (2014) Two methods to assess vulnerability to climate change in the Mexican agricultural sector. Mitig Adapt Strateg Glob Chang 19:445–461. https://doi.org/10.1007/s11027-012-9442-y
O’Brien K, Leichenko R, Kelkar U, Venema H, Aandahl G, Tompkins H, Javed A, Bhadwal S, Barg S, Nygaard L, West J (2004) Mapping vulnerability to multiple stressors: climate change and globalization in India. Glob Environ Chang 14:303–313
Piya L, Maharjan KL, Joshi NP (2012) Vulnerability of rural households to climate change and extremes: analysis of Chepang households in the mid-hills of Nepal. Selected paper prepared for presentation at the International Association of Agricultural Economics (IAAE) Triennial Conference, Foz do Iguacu, Brazil Published online 7th Dec 2018 https://doi.org/10.1002/wcc.565
Raju KV, Deshpande RS, Bedamatta S (2017) Vulnerability to climate change: a sub-regional analysis of socio-economic and agriculture Sectors in Karnataka, India. Journal of Development Policy and Practice 2(1):24–55
Ramachandran A, Saleem Khan A, Palanivelu K, Prasannavenkatesh R, Jayanthi N (2017) Projection of climate change-induced sea-level rise for the coasts of Tamil Nadu and Puducherry, India using SimCLIM: a first step toward planning adaptation policies. J Coast Conserv 21(23):1–12
Ratnam JV, Behera SK, Ratna SB, Rajeevan M, Toshio Y (2016) Anatomy of Indian heatwaves. Sci Rep 6:24395. https://doi.org/10.1038/srep24395
Ray K, Pandey P, Pandey C, Dimri AP, Kishore K (2019) On the recent floods in India. Curr Sci 117(2):204–218
Rishi P, Mudaliar R (2014) Climate stress, behavioral adaptation and subjective well being in coastal cities of India. Am J Appl Psychol 2(1):13–21
Roxy MK, Ghosh S, Amey P, Athulya R, Mujumdar M, Murtugudde R, Terray P, Rajeevan M (2017) A threefold rise in widespread extreme rain events over central India. Nat Commun Published online on 3rd October 2017 8:708. https://doi.org/10.1038/s41467-017-00744-9
Sahana M, Rehman Sufia, Ashish Kumar Paul, Haroon Sajjad (2019) Assessing socio-economic vulnerability to climate change-induced disasters: evidence from Sundarban Biosphere Reserve, India. Geology, Ecology, and Landscapes 1–13, Published on line on 10th December 2019, https://doi.org/10.1080/24749508.2019.1700670
Sendai Framework (2015) General Assembly- 69/283. Sendai framework for disaster risk reduction 2015–2030, resolution adopted by the General Assembly on 3 June 2015, https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/69/283&Lang=E
Thomas K, Dean Hardy R, Lazrus H, Mendez M, Orlove B, Rivera-Collazo I, Roberts JT, Rockman M, Warner BP, Winthrop R (2019) Explaining differential vulnerability to climate change: a social science review. Wiley Interdiscip Rev Clim Chang 10(2):e565
TNSDMA (2016) Tamil Nadu state disaster management plan 2016, Tamil Nadu State Disaster Management Authority, Government of Tamil Nadu, pp 1–198. https://tnsdma.tn.gov.in/app/webroot/img/document/tnsdma-2016.pdf
TNSDMA (2018) State disaster management plan 2018- 2030, Tamil Nadu State Disaster Management Authority, Government of Tamil Nadu, pp 1–202. https://tnsdma.tn.gov.in/app/webroot/img/document/SDMP-29-08.pdf
Tripathy A (2014) Socioeconomic backwardness increases vulnerability to climate change: evidence from Uttar Pradesh. IEG Working Paper No. 337, pp,1–45
UN (2004) United Nations/ International Strategy for Disaster Reduction (UN/ISDR). Living with risk: a global review of disaster reduction initiatives. Geneva: United Nations; 2004
UNDP (2006) Human development report. United Nations Development Program. Available at: http://hdr.undp.org/ hdr2006/statistics/
UNISDR (2015) Disaster risk reduction and resilience in the 2030 agenda for sustainable development. A reflection paper prepared by the UN Office for Disaster Risk Reduction, October 2015. https://www.preventionweb.net/files/46052_disasterriskreductioninthe2030agend.pdf
UNISDR (2018) Report on economic losses, poverty and disasters 1998–2017, Technical report- Centre for Research on the Epidemiology of Disasters CRED & United Nations Office for Disaster Risk Reduction UNISDR. 31 p https://www.unisdr.org/2016/iddr/IDDR2018_Economic%20Losses.pdf
Vincent K (2004) Creating an index of social vulnerability to climate change for Africa. Technical Report 56. Tyndall Center for Climate Change Research, University of East Anglia, Norwich
Vittal H, Karmakar S, Ghosh S, Murtugudde R (2020) A comprehensive India-wide social vulnerability analysis: highlighting its influence on hydro-climatic risk. Environ Res Lett 15(1):014005
Watson RT, Zinyoera MC, Moss RH (1996) Climate change 1995: impacts, adaptations and mitigation of climate change: scientific-technical analysis. Contribution of Working Group II to the Second Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge
Watson RT, Zinyoera MC, Moss RH (1998) The regional impacts of climate change: an assessment of vulnerability. A Special Report of IPCC Working Group II. Cambridge University Press, Cambridge
Acknowledgements
The authors wishes to acknowlede The Director, Depeartment of Environment, Government of Tamil Nadu for the support. The authors are thankful to all the data providers: State Planning Commission, Department of Economics and Statistics, Directorate of Family Welfare-Govt. of Tamil Nadu, Census of India, Forest survey of India-MoEF&CC, Health Management Information System-National Health Mission, Agriculture Census Division portal-National Information Centre, Government of India for making their data publically available and IMD Pune, Government of India for providing gridded data. The authors thank Mr. Sanjo Jose for his help in climate extremities work.
Funding
This work is supported by DST–SPLICE, Government of India (DST/SPLICE/CCP/NMSKCC/ PR-63/Tamil Nadu /2016(G) dated 09.11.2016) and Depertment of Environment , Government of Tamil Nadu.
Author information
Authors and Affiliations
Contributions
Anushiya Jeganathan: data curation, analysis, drafted original script. Ramachandran Andimuthu and Palanivelu Kandasamy: constructive comments and suggestions to the manuscript.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jeganathan, A., Andimuthu, R. & Kandasamy, P. Climate risks and socio-economic vulnerability in Tamil Nadu, India. Theor Appl Climatol 145, 121–135 (2021). https://doi.org/10.1007/s00704-021-03595-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-021-03595-z