Skip to main content

Advertisement

Log in

An empirical approach to assessing generic adaptive capacity to tropical cyclone risk in coastal districts of India

  • Original Article
  • Published:
Mitigation and Adaptation Strategies for Global Change Aims and scope Submit manuscript

Abstract

Differences in impacts of climate hazards across exposed units are determined by many factors including the severity of the hazard itself, the population that is exposed to the hazard and the coping capacity of the exposed units to the hazard. Coping capacity or adaptive capacity results from a combination of development status (generic capacity) and interventions pertinent to the hazard (specific capacity). This paper explores the extent to which the generic adaptive capacity may explain the variation in tropical cyclone impacts. Therefore this paper offers an empirical approach by which adaptive capacity may be measured and validated against actual outcomes. Results not only validate the role of generic adaptive capacity in explaining variations in impact but also reveal that general development indicators are not very important as far as predicting outcomes is concerned. Those indicators of development that can be linked to the impact process are significant in explaining and predicting impact. This can help identify those aspects of generic adaptive capacity which are important from the perspective of policy action for enhancing adaptive capacity to a particular climate hazard.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. A document that summarizes the impacts of the cyclones at the district level, and is presented by the state government to the central government for the purpose of receiving financial assistance from the central government.

References

  • Adger WN, Brooks NN, Bentham G, Agnew M, Eriksen S (2004) New indicators of vulnerability and adaptive capacity Tyndall Centre Technical Report 7. http://www.tyndall.ac.uk/publications/pub_list_2004.shtml

  • BMTPC (Building Material and Technology Promotion Council) (1997) Vulnerability Atlas of India.

  • Brenkert A, Malone E (2005) Modelling vulnerability and resilience to climate change: a case study of India and Indian states. Clim Change 72(1–2):57–102

    Article  Google Scholar 

  • Brooks N, Adger WN (2005) Assessing and enhancing adaptive capacity. In: Lim B, Spanger-Siegfried E, Burton I, Malone E, Huq S (eds) Adaptation policy framework for climate change: Developing strategies, policies and measures. UNDP-GEF, Cambridge University Press, UK

    Google Scholar 

  • Brooks N, Adger WN, Kelly M (2005) The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Glob Environ Change A 15:151–162

    Article  Google Scholar 

  • Haddad BM (2005) Ranking the adaptive capacity of nations to climate change when socio-political goals are explicit. Glob Environ Change 15(2):165–176

    Article  Google Scholar 

  • Leichenko R, O’Brien K (2002) The dynamics of rural vulnerability to global change: the case of Southern Africa. Mitig Adapt Strategies Glob Chang 7:1–18

    Article  Google Scholar 

  • McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (eds) (2001) Climate Change 2001: Impacts, Adaptation and Vulnerability. Cambridge University Press, UK.

  • Patwardhan A, Sharma U (2005) Assessing impacts of natural hazards through changes in flow variables. Glob Planet Change 47(2–4):253–265

    Article  Google Scholar 

  • Patwardhan A, Narayanan K, Parthasarathy D, Sharma U (2003) Impacts of climate change on coastal zones, chapter 10. In: Shukla PR, Sharma SK, Ravindranath NH, Garg A, Bhattacharya S (eds) Climate change and India: vulnerability assessment and adaptation. Universities Press, Hyderabad, India, pp 326–359

    Google Scholar 

  • Reilly J, Schimmelpfennig D (2000) Irreversibility, uncertainty and learning: portraits of adaptation to long-term climate change. Clim Change 45(1):253–278

    Article  Google Scholar 

  • Sharma U, Patwardhan A (2007) Methodology for identifying vulnerability hotspots to tropical cyclone hazard in India. Mitig Adapt Strategies Glob Chang. Advance online publication August 23. DOI 10.1007/s11027-007-9123-4

  • Vincent K (2007) Uncertainty in adaptive capacity and the importance of scale. Glob Environ Change 17(1):12–24

    Article  Google Scholar 

  • Yohe G, Tol RSJ (2002) Indicators for social and economic coping capacity: moving toward a working definition of adaptive capacity. Glob Environ Change 12:25–40

    Article  Google Scholar 

Download references

Acknowledgement

This research was supported by the Advanced Institute on Vulnerability to Global Environmental Change, a program funded by the David and Lucille Packard Foundation and Coordinated by START in partnership with IIASA.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Upasna Sharma.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sharma, U., Patwardhan, A. An empirical approach to assessing generic adaptive capacity to tropical cyclone risk in coastal districts of India. Mitig Adapt Strateg Glob Change 13, 819–831 (2008). https://doi.org/10.1007/s11027-008-9143-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11027-008-9143-8

Keywords

Navigation