IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i3p893-d137215.html
   My bibliography  Save this article

Biophysical and Socioeconomic State and Links of Deltaic Areas Vulnerable to Climate Change: Volta (Ghana), Mahanadi (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh)

Author

Listed:
  • Ignacio Cazcarro

    (ARAID (Aragonese Agency for Research and Development) Researcher, Department of Economic Analysis, University of Zaragoza, 50005 Zaragoza, Spain
    Basque Centre for Climate Change (BC3), 48940 Leioa, Spain)

  • Iñaki Arto

    (Basque Centre for Climate Change (BC3), 48940 Leioa, Spain)

  • Somnath Hazra

    (Jadavpur University, 700032 Kolkata, India)

  • Rabindra Nath Bhattacharya

    (Jadavpur University, 700032 Kolkata, India)

  • Prince Osei-Wusu Adjei

    (Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)

  • Patrick K. Ofori-Danson

    (University of Ghana, Legon Boundary, Accra, Ghana)

  • Joseph K. Asenso

    (Ministry of Finance and Economic Planning, P. O. Box M40, Accra, Ghana)

  • Samuel K. Amponsah

    (University of Ghana, Legon Boundary, Accra, Ghana)

  • Bazlul Khondker

    (South Asian Network on Economic Modeling (SANEM), 1212 Dhaka, Bangladesh)

  • Selim Raihan

    (South Asian Network on Economic Modeling (SANEM), 1212 Dhaka, Bangladesh)

  • Zubayer Hossen

    (South Asian Network on Economic Modeling (SANEM), 1212 Dhaka, Bangladesh)

Abstract

We examine the similarities and differences of specific deltaic areas in parallel, under the project DEltas, vulnerability and Climate Change: Migration and Adaptation (DECCMA). The main reason for studying Deltas is their potential vulnerability to climate change and sea level rise, which generates important challenges for livelihoods. We provide insights into the current socioeconomic and biophysical states of the Volta Delta (Ghana), Mahanadi Delta (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh). Hybrid methods of input-output (IO) construction are used to develop environmentally extended IO models for comparing the economic characteristics of these delta regions with the rest of the country. The main sources of data for regionalization were country level census data, statistics and economic surveys and data on consumption, trade, agricultural production and fishing harvests. The Leontief demand-driven model is used to analyze land use in the agricultural sector of the Delta and to track the links with final demand. In addition, the Hypothetical Extraction Method is used to evaluate the importance of the hypothetical disappearance of a sector (e.g., agriculture). The results show that, in the case of the Indian deltas, more than 60% of the cropland and pasture land is devoted to satisfying demands from regions outside the delta. While in the case of the Bangladeshi and Ghanaian deltas, close to 70% of the area harvested is linked to internal demand. The results also indicate that the services, trade and transportation sectors represent 50% of the GDP in the deltas. Still, agriculture, an activity directly exposed to climate change, plays a relevant role in the deltas’ economies—we have estimated that the complete disappearance of this activity would entail GDP losses ranging from 18 to 32%.

Suggested Citation

  • Ignacio Cazcarro & Iñaki Arto & Somnath Hazra & Rabindra Nath Bhattacharya & Prince Osei-Wusu Adjei & Patrick K. Ofori-Danson & Joseph K. Asenso & Samuel K. Amponsah & Bazlul Khondker & Selim Raihan &, 2018. "Biophysical and Socioeconomic State and Links of Deltaic Areas Vulnerable to Climate Change: Volta (Ghana), Mahanadi (India) and Ganges-Brahmaputra-Meghna (India and Bangladesh)," Sustainability, MDPI, vol. 10(3), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:893-:d:137215
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/3/893/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/3/893/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clements, Benedict J., 1990. "On the decomposition and normalization of interindustry linkages," Economics Letters, Elsevier, vol. 33(4), pages 337-340, August.
    2. A. T. Flegg & C. D. Webber, 1997. "On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply," Regional Studies, Taylor & Francis Journals, vol. 31(8), pages 795-805.
    3. Meller, Patricio & Marfan, Manuel, 1981. "Small and Large Industry: Employment Generation, Linkages, and Key Sectors," Economic Development and Cultural Change, University of Chicago Press, vol. 29(2), pages 263-274, January.
    4. Frank Biermann & Ingrid Boas, 2010. "Preparing for a Warmer World: Towards a Global Governance System to Protect Climate Refugees," Global Environmental Politics, MIT Press, vol. 10(1), pages 60-88, February.
    5. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    6. Cella, Guido, 1984. "The Input-Output Measurement of Interindustry Linkages," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 46(1), pages 73-84, February.
    7. Heimler, Alberto, 1991. "Linkages and Vertical Integration in the Chinese Economy," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 261-267, May.
    8. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    9. Robin Mearns & Andrew Norton, 2010. "Social Dimensions of Climate Change : Equity and Vulnerability in a Warming World," World Bank Publications - Books, The World Bank Group, number 2689.
    10. Barbara Neumann & Athanasios T Vafeidis & Juliane Zimmermann & Robert J Nicholls, 2015. "Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-34, March.
    11. Martinez, M.L. & Intralawan, A. & Vazquez, G. & Perez-Maqueo, O. & Sutton, P. & Landgrave, R., 2007. "The coasts of our world: Ecological, economic and social importance," Ecological Economics, Elsevier, vol. 63(2-3), pages 254-272, August.
    12. A. T. Flegg & C. D. Webber, 2000. "Regional Size, Regional Specialization and the FLQ Formula," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 563-569.
    13. Timo Tohmo, 2004. "New Developments in the Use of Location Quotients to Estimate Regional Input-Output Coefficients and Multipliers," Regional Studies, Taylor & Francis Journals, vol. 38(1), pages 43-54.
    14. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
    15. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    16. Leontief, Wassily, 1974. "Structure of the World Economy: Outline of a Simple Input-Output Formulation," American Economic Review, American Economic Association, vol. 64(6), pages 823-834, December.
    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. Waleed Abbas & Islam Hamdi, 2022. "Satellite-Based Discrimination of Urban Dynamics-Induced Local Bias from Day/Night Temperature Trends across the Nile Delta, Egypt: A Basis for Climate Change Impacts Assessment," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    2. M. Anwar Hossen & Md. Arif Chowdhury & Asha Hans & Cynthia Addoquaye Tagoe & Andrew Allan & Winfred Nelson & Amrita Patel & M. Shahjahan Mondal & Mashfiqus Salehin & Ruth M. Quaye & Shouvik Das, 2019. "Governance Challenges in Addressing Climatic Concerns in Coastal Asia and Africa," Sustainability, MDPI, vol. 11(7), pages 1-17, 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. Gunnar Lindberg, 2011. "On the appropriate use of (input-output) coefficients to generate non-survey regional input-output tables: Implications for the determination of output multipliers," ERSA conference papers ersa10p800, European Regional Science Association.
    2. Tobias Kronenberg, 2012. "Regional input-output models and the treatment of imports in the European System of Accounts (ESA)," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 175-191, September.
    3. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    4. Guilhoto, Joaquim José Martins, 2011. "Análise de Insumo-Produto: Teoria e Fundamentos [Input-Output Analysis: Theory and Foundations]," MPRA Paper 32566, University Library of Munich, Germany.
    5. Kronenberg, Tobias & Többen, Johannes, 2011. "Regional input-output modelling in Germany: The case of North Rhine-Westphalia," MPRA Paper 35494, University Library of Munich, Germany.
    6. Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
    7. Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Sectoral linkages and industrial efficiency: a dilemma or a requisition in identifying development priorities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 207-233, August.
    8. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    9. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    10. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    11. Anthony T. Flegg & Timo Tohmo, 2011. "A comment on Tobias Kronenberg's "Construction of regional input-output tables using nonsurvey methods: the role of cross-hauling"," Working Papers 20111111, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    12. Anthony T. Flegg & Timo Tohmo, 2013. "Estimating regional input coefficients and multipliers: The Use of the FLQ is not a Gamble," Working Papers 20131302, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    13. Anthony Flegg & Timo Tohmo, 2011. "Regional Input-Output Tables and the FLQ Formula: A Case Study of Finland," ERSA conference papers ersa11p334, European Regional Science Association.
    14. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    15. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    16. Kowalewski, Julia, 2012. "Inter-industrial relations and sectoral employment development in German regions," HWWI Research Papers 127, Hamburg Institute of International Economics (HWWI).
    17. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2014. "Empirical evidence on the use of the FLQ formula for regionalizing national input-output tables: The case of the Province of C¨®rdoba, Argentina," Working Papers 20141406, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    18. Hermannsson, Kristinn & McIntyre, Stuart G., 2014. "Local consumption and territorial based accounting for CO2 emissions," Ecological Economics, Elsevier, vol. 104(C), pages 1-11.
    19. Alp, Esra & Kök, Recep & Başkol, Murat Ozan, 2017. "Türkiye Ekonomisinde Sürükleyici Endüstri Analizi:2002-2012 Karşılaştırması [Key Sector Analysis in Turkish Economy: A Compare Between 2002-2012]," MPRA Paper 89952, University Library of Munich, Germany.
    20. Anthony T Flegg & Yongming Huang & Timo Tohmo, 2013. "Cross-hauling and regional input-output tables: the case of the province of Hubei, China," Working Papers 20131310, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

    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:gam:jsusta:v:10:y:2018:i:3:p:893-:d:137215. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.