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Can Developmental Interventions Reduce Households’ Vulnerability? Empirical Evidence from Rural India


Affiliations
1 Centre for Climate Change and Sustainability Studies, School of Habitat Studies, Tata Institute of Social Sciences, Mumbai 400 088, India
2 Asia Pacific Rural and Agricultural Credit Association, Bangkok, Thailand
3 Department of Humanities and Social Sciences, Indian Institute of Technology Tirupati, Tirupati 517 506, India
4 Utkal University, Bhubaneswar 751 004, India
 

Vulnerability is a multidimensional concept incorporating notions of risk and poverty. While it has been established that higher incidence of poverty in developing countries exacerbates vulnerability, the role of risk requires closer inspection. Developmental interventions in these countries target poverty reduction, which in turn, could reduce vulnerability. However, a key question is whether developmental interventions reduce the vulnerability and risks faced by households. To answer this, the present study empirically examines the impact of developmental interventions on the vulnerability of households in a rural Indian setting. The major advantage hence is that it not only looks into the impact on aggregate vulnerability but also its different components such as poverty, covariate, idiosyncratic and unexplained risks. Empirical analysis is based on a survey of 800 households in the drought-prone villages of western Odisha, India, where a key developmental intervention, Western Orissa Rural Livelihood Project was implemented during the last decade. Adopting ‘vulnerability as expected utility’ approach, this study reveals three major findings. First, both aggregate risk and poverty are the dominant sources of vulnerability, with the former accounting for a sizable share. Second, the households that benefited from livelihood interventions are found less vulnerable. Third, the other major determinants of vulnerability are education, access to social network, family size and crop-diversification. From a policy perspective, results support continuation of these programmes, but realigning these also target risk reduction.

Keywords

Covariate, Developmental Interventions, Idiosyncratic Risk, Rural Setting, Vulnerability.
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  • Bahinipati, C. S., Economics of adaptation to climate change: learning from impact and vulnerability literature. MIDS Working Paper No. 213, Madras Institute of Development Studies, Chennai, 2011.

  • Patnaik, U. and Narayanan, K., Vulnerability and climate change: an analysis of the eastern coastal districts of India. In Paper presented at the GECHS International Workshop on Human Security and Climate Change, Oslo, Norway, 2005.

  • Adger, N., Vulnerability. Global Environ. Change, 2006, 16(3), 268–281.

  • Kanbur, R. and Squire, L., The Evolution of Thinking About Poverty: Exploring the Interaction, 1999; http:/www.worldbank.org/poverty/wdrpoverty/evolut.htm; Frontiers of development economics – The future perspective, World Bank, 2001, pp. 183–226.

  • Ligon, E. and Schechter, L., Measuring vulnerability. Econ. J., 2003, 113(486), C95–C102.

  • Gunther, I. and Harttgen, K., Estimating households’ vulnerability to idiosyncratic and covariate shocks: a novel method applied in Madagascar. World Dev., 2009, 37(7), 1222–1234.

  • Bahinipati, C. S., Consumption smoothing and climate extremes: evidence from a farm household survey in eastern coastal India. Soc. Change Dev., 2016, 13, 1–18.

  • Stern, N., Stern’s Review on Economics of Climate Change, Cambridge University Press, London, 2007.

  • Kumar, K. S. K. et al., Vulnerability to poverty and vulnerability to climate change: conceptual framework, measurement and synergies in policy. MSE Working Paper No. 19, Madras School of Economics, Chennai, 2007.

  • Patnaik, U., Das, P. K. and Bahinipati, C. S., Analysing vulnerability to climate variability and extremes in the coastal districts of Odisha, India. Rev. Dev. Change, 2013, XVIII(2), 173–189.

  • Panda, A. et al., Adaptive capacity contributing to improved agricultural productivity at the household level: empirical findings highlighting the importance of crop insurance. Global Environ. Change, 2013, 23(4), 782–790.

  • Panda, A., Exploring climate change perceptions, rainfall trends and perceived barriers to adaptation in a drought affected region in India. Nat. Hazards, 2016, 84(2), 777–796.

  • Panda, A., Vulnerability to climate variability and drought among small and marginal farmers: a case study in Odisha, India. Climate Dev., 2017, 9(7), 605–617.

  • WORLP, Project Memorandum. Western Odisha Rural Livelihoods Project. Odisha Watershed Development Mission, Government of Odisha, Bhubaneswar, 1999.

  • Hoddinott, J. and Quisumbing, A., Methods for micro-econometric risk and vulnerability assessments. World Bank Social Protection Discussion Paper Series 0324, World Bank, Washington DC, USA, 2003.

  • Chambers, R., Vulnerability, coping and policy: editorial introduction. IDS Bull., 1989, 20(2), 1–7.

  • Hoddinott, J. and Quisumbing, A., Data sources for microeconometric risk and vulnerability assessments. World Bank Social Protection Discussion Paper Series 0323, World Bank, Washington DC, 2003.

  • Patnaik, U. and Narayanan, K., Vulnerability of households to disaster risks: evidence from rural India. Artha Vijnana, 2010, 52(3), 261–273.

  • Pradhan, K. C. and Mukherjee, S., Covariate and idiosyncratic shocks and coping strategies for poor and non-poor rural households in India. MSE Working Paper No. 139, Madras School of Economics, Chennai, 2016.

  • Bahinipati, C. S., Assessment of vulnerability to cyclones and floods in Odisha, India: a district-level analysis. Curr. Sci., 2014, 107(12), 1997–2007.

  • IPCC, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Core Writing Team (eds Pachuri, R. K. and Meyer, L. A.), Geneva, Switzerland, 2014.

  • Patnaik, U. and Narayanan, K., How effective are coping mechanisms in securing livelihoods against climatic aberrations? Evidences from rural India. Int. J. Climate Change Strat. Manage., 2015, 7(3), 359–374.

  • Patnaik, U. and Narayanan, K., Are traditional coping mechanisms effective in managing the risk against extreme events? Evidences from flood prone region in rural India. Water Policy, 2015, 17(4), 724–741.

  • Patnaik, U., Das, P. K. and Bahinipati, C. S., Coping with climatic shocks: empirical evidence from rural coastal Odisha. Global Bus. Rev., 2016, 17(1), 161–175.

  • Bahinipati, C. S. and Patnaik, U., The damages from climatic extremes in India: do disaster specific and generic adaptation measures matter? Environ. Econ. Policy Stud., 2015, 17(1), 157–177.

  • Esteves, T. et al., Agricultural and livelihood vulnerability reduction through the MGNREGA. Econ. Polit. Wkly, 2013, XLVIII(52), 94–103.

  • Tiwari, R. et al., MGNREGA for environmental service enhancement and vulnerability reduction: rapid appraisal in Chitradurga district, Karnataka. Econ. Polit. Wkly., 2011, XLVI(20), 39–47.

  • Routray, S., Local appropriations of developmental imperatives: notes from a watershed project in Odisha, eastern India. Eur. J. Develop. Res., 2015, 27(5), 672–685; doi:10.1057/ejdr.2014.51.

  • Patnaik, U. and Das, P. K., Do developmental interventions confer adaptive capacity? Insights from rural India. World Develop., 2017, 97, 298–312.

  • Sharma, V., Reddy, B. and Sahu, N., Sustainable rural livelihoods approach for climate change adaptation in Western Odisha, Eastern India. Dev. Pract., 2014, 24(4), 591–604.

  • Ghosh, S. and Mujumdar, P. P., Future rainfall scenario over Odisha with GCM projections by statistical downscaling. Curr. Sci., 2006, 90(3), 396–404.

  • Pattnaik, I., Livelihood pattern and coping mechanisms during drought: a study of two villages in Odisha. RULNR Working Paper No. 17, Research Unit for Livelihoods and Natural Resources, Centre for Economic and Social Studies, Hyderabad, 2012.

  • Swain, M. and Swain, M., Drought vulnerability, coping capacity and residual risk: evidence from Bolangir district in Odisha, India. Asian J. Environ. Disaster Manage., 2011, 3(4), 453–473.

  • Swain, M., Sources of growth and instability in agricultural production in Western Odisha, India. Asian J. Agric. Dev., 2014, 11(2), 51–70.

  • CRD, Impact assessment of externally aided project interventions on livelihood of the poor and marginalized in KBK districts of Orissa. Study report. Centre for Rural Development, Bhubaneswar, co-sponsored by Planning Commission, Government of India, 2010.

  • ICAI, DFID’s livelihoods work in western Odisha. Independent Commission for Aid Impact, London, 18 February 2013; https://icai.independent.gov.uk/wp-content/uploads/ICAI-Report-DFIDs-Livelihoods-Work-in-Western-Odisha.pdf (last accessed November 2016).

  • Christiaensen, L. and Subbarao, K., Toward an understanding of household vulnerability in rural Kenya. World Bank Policy Research Working Paper 3326, World Bank, Washington DC, 2004.

  • Christiaensen, L., Hoffmann, V. and Sarris, A., Gauging the welfare effects of shocks in rural Tanzania. World Bank Policy Research Working Paper 4406, World Bank, Washington DC, 2007.

  • Datt, G. and Hoogeveen, H., EI Nino and EI Peso? Crisis, poverty, income distribution in the Philippines. World Dev., 2003, 31(7), 1103–1124.

  • Dercon, S., Hoddinott, J. and Woldehanna, T., Shocks and consumption in 15 Ethiopian villages, 1999–2004. J. Afr. Econ., 2005, 14(4), 559–585.


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  • Can Developmental Interventions Reduce Households’ Vulnerability? Empirical Evidence from Rural India

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Authors

Unmesh Patnaik
Centre for Climate Change and Sustainability Studies, School of Habitat Studies, Tata Institute of Social Sciences, Mumbai 400 088, India
Prasun Kumar Das
Asia Pacific Rural and Agricultural Credit Association, Bangkok, Thailand
Chandra Sekhar Bahinipati
Department of Humanities and Social Sciences, Indian Institute of Technology Tirupati, Tirupati 517 506, India
Onkar Nath Tripathi
Utkal University, Bhubaneswar 751 004, India

Abstract


Vulnerability is a multidimensional concept incorporating notions of risk and poverty. While it has been established that higher incidence of poverty in developing countries exacerbates vulnerability, the role of risk requires closer inspection. Developmental interventions in these countries target poverty reduction, which in turn, could reduce vulnerability. However, a key question is whether developmental interventions reduce the vulnerability and risks faced by households. To answer this, the present study empirically examines the impact of developmental interventions on the vulnerability of households in a rural Indian setting. The major advantage hence is that it not only looks into the impact on aggregate vulnerability but also its different components such as poverty, covariate, idiosyncratic and unexplained risks. Empirical analysis is based on a survey of 800 households in the drought-prone villages of western Odisha, India, where a key developmental intervention, Western Orissa Rural Livelihood Project was implemented during the last decade. Adopting ‘vulnerability as expected utility’ approach, this study reveals three major findings. First, both aggregate risk and poverty are the dominant sources of vulnerability, with the former accounting for a sizable share. Second, the households that benefited from livelihood interventions are found less vulnerable. Third, the other major determinants of vulnerability are education, access to social network, family size and crop-diversification. From a policy perspective, results support continuation of these programmes, but realigning these also target risk reduction.

Keywords


Covariate, Developmental Interventions, Idiosyncratic Risk, Rural Setting, Vulnerability.

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DOI: https://doi.org/10.18520/cs%2Fv113%2Fi10%2F2004-2013