IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v164y2021i1d10.1007_s10584-021-02969-6.html
   My bibliography  Save this article

Synergies and trade-offs for climate-resilient agriculture in India: an agro-climatic zone assessment

Author

Listed:
  • Naveen P Singh

    (ICAR-National Institute of Agricultural Economics & Policy Research (NIAP))

  • Bhawna Anand

    (ICAR-National Institute of Agricultural Economics & Policy Research (NIAP))

  • Surendra Singh

    (ICAR-National Institute of Agricultural Economics & Policy Research (NIAP))

  • S K Srivastava

    (ICAR-National Institute of Agricultural Economics & Policy Research (NIAP))

  • Ch Srinivasa Rao

    (ICAR-National Academy of Agricultural Research Management (NAARM))

  • K V Rao

    (ICAR-Central Research Institute for Dryland Agriculture (CRIDA))

  • S K Bal

    (ICAR-Central Research Institute for Dryland Agriculture (CRIDA))

Abstract

Globally, agriculture is recognized as a highly vulnerable sector to climate change and risks from climatic aberrations pose an imminent danger to the food security and sustainability of livelihoods. To bring robustness in climate adaptation planning, evaluation of resilience across homogenous regions is essential for developing and scaling suitable location-need-context specific interventions and policies that build the resilience of the agricultural system. In this paper, we present an analysis and discussion of multi-scalar and multi-indicator assessment, by profiling resilience across agro-climatic zones of India, based on the development of a Climate-Resilient Agriculture Index embracing environmental, technological, socio-economic, and institutional and infrastructural dimension. A total of 26 indicators, spread across these four dimensions, were employed to purport inter- and intra-agro-climatic zone differentials in the level of resilience. Among the zones, it was found that West Coast Plains & Ghats and Tans-Gangetic Plains had the highest degree of resilience to manage climate risks. Most of the districts lying within Eastern Himalayan Region, Middle Gangetic Plains, Eastern Plateau & Hills, and Western Dry Region had a lower degree of resilience. The study places greater emphasis on deciphering region-specific drivers and barriers to resilience at a further disaggregated scale for improving rural well-beings. It is construed that devising action plans emphasizing awareness, preservation of natural resources, diversification, building physical infrastructure, strengthening of grass-root institutions, and mainstreaming climate adaptation in the developmental policy is crucial for climate-resilient pathways.

Suggested Citation

  • Naveen P Singh & Bhawna Anand & Surendra Singh & S K Srivastava & Ch Srinivasa Rao & K V Rao & S K Bal, 2021. "Synergies and trade-offs for climate-resilient agriculture in India: an agro-climatic zone assessment," Climatic Change, Springer, vol. 164(1), pages 1-26, January.
    • Handle: RePEc:spr:climat:v:164:y:2021:i:1:d:10.1007_s10584-021-02969-6
    DOI: 10.1007/s10584-021-02969-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-021-02969-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10584-021-02969-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Architesh Panda, 2016. "Exploring climate change perceptions, rainfall trends and perceived barriers to adaptation in a drought affected region in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 777-796, November.
    2. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
    3. Ebert, Udo & Welsch, Heinz, 2004. "Meaningful environmental indices: a social choice approach," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 270-283, March.
    4. Birthal, Pratap S. & Hazrana, Jaweriah, 2019. "Crop diversification and resilience of agriculture to climatic shocks: Evidence from India," Agricultural Systems, Elsevier, vol. 173(C), pages 345-354.
    5. Pollesch, N.L. & Dale, V.H., 2016. "Normalization in sustainability assessment: Methods and implications," Ecological Economics, Elsevier, vol. 130(C), pages 195-208.
    6. Talita Greyling & Fiona Tregenna, 2017. "Construction and Analysis of a Composite Quality of Life Index for a Region of South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 887-930, April.
    7. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    8. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    9. Frederik Booysen, 2002. "An Overview and Evaluation of Composite Indices of Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 59(2), pages 115-151, August.
    10. Judith G. Kelley & Beth A. Simmons, 2015. "Politics by Number: Indicators as Social Pressure in International Relations," American Journal of Political Science, John Wiley & Sons, vol. 59(1), pages 55-70, January.
    11. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    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. Das, Usha & Ansari, M.A. & Ghosh, Souvik, 2022. "Effectiveness and upscaling potential of climate smart agriculture interventions: Farmers' participatory prioritization and livelihood indicators as its determinants," Agricultural Systems, Elsevier, vol. 203(C).
    2. Chiranjeewee Khadka & Anju Upadhyaya & Magda Edwards-Jonášová & Nabin Dhungana & Sony Baral & Pavel Cudlin, 2022. "Differential Impact Analysis for Climate Change Adaptation: A Case Study from Nepal," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    3. Yanan Zuo & Fengxiang Jin & Min Ji & Zhenjin Li & Jiutao Yang, 2023. "Disaster Risk Regionalization and Prediction of Corn Thrips Combined with Cloud Model: A Case Study of Shandong Province, China," Land, MDPI, vol. 12(3), pages 1-20, March.

    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. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    2. Samy Katumba & Julia Kadt & Mark Orkin & Paul Fatti, 2022. "Construction of a Reflective Quality of Life Index for Gauteng Province in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 373-408, November.
    3. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    4. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    5. Rubén Raedo, 2021. "Urban Sustainability Deficits: The Urban Non-Sustainability Index (UNSI) as a Tool for Urban Policy," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    6. Riccardo Natoli & Segu Zuhair, 2011. "Measuring Progress: A Comparison of the GDP, HDI, GS and the RIE," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 33-56, August.
    7. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    8. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    9. Saisana, Michaela & d'Hombres, Béatrice & Saltelli, Andrea, 2011. "Rickety numbers: Volatility of university rankings and policy implications," Research Policy, Elsevier, vol. 40(1), pages 165-177, February.
    10. Lola Martin-Moro & Meltem Öztürk & Florence Laufer, 2022. "Modelling the Prison Life Index with Value Focused Thinking Methodology," Working Papers hal-03851980, HAL.
    11. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    12. Ahmad Mohd Khalid & Seema Sharma & Amlendu Kumar Dubey, 2020. "Data Gap Analysis, Indicator Selection and Index Development: A Case for Developing Economies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(3), pages 893-960, April.
    13. Panagiotis Artelaris, 2022. "A development index for the Greek regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1261-1281, June.
    14. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    15. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    16. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2022. "A Reference Point-Based Proposal to Build Regional Quality of Life Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 11-30, November.
    17. Nerfa, Lauren & Rhemtulla, Jeanine M. & Zerriffi, Hisham, 2020. "Forest dependence is more than forest income: Development of a new index of forest product collection and livelihood resources," World Development, Elsevier, vol. 125(C).
    18. Matteo Mazziotta & Adriano Pareto, 2018. "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 967-976, April.
    19. Cinelli, Marco & Kadziński, Miłosz & Miebs, Grzegorz & Gonzalez, Michael & Słowiński, Roman, 2022. "Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 633-651.
    20. Jacqueline Moodley, 2021. "Heterogeneity in Disability and the Quality of Life of South African Children," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(3), pages 1227-1249, June.

    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:spr:climat:v:164:y:2021:i:1:d:10.1007_s10584-021-02969-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.