IDEAS home Printed from https://ideas.repec.org/p/bol/bodewp/wp966.html
   My bibliography  Save this paper

Climate Change Vulnerability in Agriculture Sector: Indexing and Mapping of Four Southern Indian States

Author

Listed:
  • G. Sridevi
  • A. Jyotishi
  • S. Mahapatra
  • G. Jagadeesh
  • S. Bedamatta

Abstract

Agriculture is the sector most vulnerable to climate change due to its high dependence on climate and weather conditions. Climate change is a main challenge for agriculture, food security and rural livelihoods for millions of people in India. Among India s population of more than one billion people, about 68% are directly or indirectly involved in the agricultural sector. This sector is particularly vulnerable to present-day climate variability. In this paper an attempt is made to map and analyze the vulnerability to climate change in different districts of four south Indian states: Andhra Pradesh, Karnataka, Tamil Nadu and Kerala. We have taken five sources of vulnerability indicators: socio-demographic, climatic, agricultural, occupational and common property resources vulnerabilities to compute the composite vulnerability index. The composite vulnerability index suggests that, Adilabad, Chamarajanagar, Thiruvarur and Kasaragod are the most vulnerable districts of Andhra Pradesh, Karnataka, Tamil Nadu and Kerala respectively, whereas Hyderabad, Belgaum, Thoothukkudi, Kottayam are the least vulnerable districts.

Suggested Citation

  • G. Sridevi & A. Jyotishi & S. Mahapatra & G. Jagadeesh & S. Bedamatta, 2014. "Climate Change Vulnerability in Agriculture Sector: Indexing and Mapping of Four Southern Indian States," Working Papers wp966, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:wp966
    as

    Download full text from publisher

    File URL: http://amsacta.unibo.it/4080/1/WP966.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johann Kirsten & Julian May & Sheryl Hendriks & Charles L. Machethe & Cecelia Punt & Mike Lyne, 2007. "South Africa," Chapters, in: Fabrizio Bresciani & Alberto Valdés (ed.), Beyond Food Production, chapter 8, Edward Elgar Publishing.
      • Liebenberg, Frikkie & Beintema, Nienke M. & Kirsten, Johann F., 2004. "South Africa," ASTI country briefs 14, International Food Policy Research Institute (IFPRI).
    2. John M. Antle, 1995. "Climate Change and Agriculture in Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 741-746.
    3. Swain, Mrutyunjay & Swain, Mamata, 2011. "Vulnerability to Agricultural Drought in Western Orissa: A Case Study of Representative Blocks," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(1), June.
    4. Richard M. Adams, 1989. "Global Climate Change and Agriculture: An Economic Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(5), pages 1272-1279.
    5. K.S. Kavi Kumar, 2009. "Climate Sensitivity Of Indian Agriculture," Development Economics Working Papers 22939, East Asian Bureau of Economic Research.
    6. Mendelsohn, Robert & Dinar, Ariel & Williams, Larry, 2006. "The distributional impact of climate change on rich and poor countries," Environment and Development Economics, Cambridge University Press, vol. 11(2), pages 159-178, April.
    7. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. Heltberg, Rasmus & Bonch-Osmolovskiy, Misha, 2011. "Mapping vulnerability to climate change," Policy Research Working Paper Series 5554, The World Bank.
    9. Paltasingh, Kirtti Ranjan & Goyari, Phanindra & Mishra, R.K., 2012. "Measuring Weather Impact on Crop Yield Using Aridity Index: Evidence from Odisha," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 25(2).
    10. Ishwarya Balasubramanian & K.S. Kavi Kumar, 2010. "Climate Variability and Agricultural Productivity: Case Study of Rice Yields in Northern India," Working Papers 2010-054, Madras School of Economics,Chennai,India.
    11. Apata, Temidayo Gabriel & Samuel, K.D. & Adeola, A.O., 2009. "Analysis of Climate Change Perception and Adaptation among Arable Food Crop Farmers in South Western Nigeria," 2009 Conference, August 16-22, 2009, Beijing, China 51365, International Association of Agricultural Economists.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ria Jhoanna C. Ducusin & Maria Victoria O. Espaldon & Carmelita M. Rebancos & Lucille Elna P. Guzman, 2019. "Vulnerability assessment of climate change impacts on a Globally Important Agricultural Heritage System (GIAHS) in the Philippines: the case of Batad Rice Terraces, Banaue, Ifugao, Philippines," Climatic Change, Springer, vol. 153(3), pages 395-421, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raju Guntukula & Phanindra Goyari, 2020. "Climate Change Effects on the Crop Yield and Its Variability in Telangana, India," Studies in Microeconomics, , vol. 8(1), pages 119-148, June.
    2. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    3. Matthias Schmidt & Hermann Held & Elmar Kriegler & Alexander Lorenz, 2013. "Climate Policy Under Uncertain and Heterogeneous Climate Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 79-99, January.
    4. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    5. Cook, Aaron M. & Ricker-Gilbert, Jacob E. & Sesmero, Juan P., 2013. "How do African households adapt to climate change? Evidence from Malawi," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150507, Agricultural and Applied Economics Association.
    6. Farnaz Pourzand & Kendom Bell, 2021. "How climate affects agricultural land values in Aotearoa New Zealand," Working Papers 21_16, Motu Economic and Public Policy Research.
    7. Gebreegziabher, Zenebe & Mekonnen, Alemu & Deribe, Rahel & Abera, Samuel & Kassahun, Meseret Molla, 2013. "Crop-Livestock Inter-linkages and Climate Change Implications for Ethiopia’s Agriculture: A Ricardian Approach," RFF Working Paper Series dp-13-14-efd, Resources for the Future.
    8. Camacho, Carmen & Pérez-Barahona, Agustín, 2015. "Land use dynamics and the environment," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 96-118.
    9. Sudarshan Chalise & Dr Athula Naranpanawa, 2016. "Climate change adaptation in agriculture: A general equilibrium analysis of land re-allocation in Nepal," EcoMod2016 9272, EcoMod.
    10. Rodrigo Garcia‐Verdu & Alexis Meyer‐Cirkel & Akira Sasahara & Hans Weisfeld, 2022. "Importing inputs for climate change mitigation: The case of agricultural productivity," Review of International Economics, Wiley Blackwell, vol. 30(1), pages 34-56, February.
    11. Barbora Sedova & Matthias Kalkuhl & Robert Mendelsohn, 2020. "Distributional Impacts of Weather and Climate in Rural India," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 5-44, April.
    12. Birthal, P.S. & Khan, T.M. & Negi, D.S. & Agarwal, S., 2014. "Impact of Climate Change on Yields of Major Food Crops in India: Implications for Food Security," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(2).
    13. Sussman Fran & Weaver Christopher P. & Grambsch Anne, 2014. "Challenges in applying the paradigm of welfare economics to climate change," Journal of Benefit-Cost Analysis, De Gruyter, vol. 5(3), pages 347-376, December.
    14. Yonas Alem & Mathilde Maurel & Katrin Millock, 2016. "Migration as an Adaptation Strategy to Weather Variability: An Instrumental Variables Probit Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01955941, HAL.
    15. Albert Ayorinde Abegunde, 2017. "Local communities’ belief in climate change in a rural region of Sub-Saharan Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1489-1522, August.
    16. Louis-Gaëtan Giraudet & Céline Guivarch, 2016. "Global warming as an asymmetric public bad," Working Papers 2016.26, FAERE - French Association of Environmental and Resource Economists.
    17. Shahzad Alvi & Faisal Jamil & Roberto Roson & Martina Sartori, 2020. "Do Farmers Adapt to Climate Change? A Macro Perspective," Agriculture, MDPI, vol. 10(6), pages 1-12, June.
    18. David Anthoff & Johannes Emmerling, 2019. "Inequality and the Social Cost of Carbon," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(2), pages 243-273.
    19. Byela Tibesigwa & Martine Visser & Jane Turpie, 2017. "Climate change and South Africa’s commercial farms: an assessment of impacts on specialised horticulture, crop, livestock and mixed farming systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(2), pages 607-636, April.
    20. Asfaw, Solomon & Mortari, Andrea Piano & Arslan, Aslihan & Karfakis, Panagiotis & Lipper, Leslie, 2015. "Welfare Impacts of Climate Shocks: Evidence from Uganda," 2015 Conference, August 9-14, 2015, Milan, Italy 229060, International Association of Agricultural Economists.

    More about this item

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • H84 - Public Economics - - Miscellaneous Issues - - - Disaster Aid

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bol:bodewp:wp966. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dipartimento Scienze Economiche, Universita' di Bologna (email available below). General contact details of provider: https://edirc.repec.org/data/sebolit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.