IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/7140.html
   My bibliography  Save this paper

Climate change, soil salinity, and the economics of high-yield rice production in coastal Bangladesh

Author

Listed:
  • Dasgupta, Susmita
  • Hossain, Md. Moqbul
  • Huq, Mainul
  • Wheeler, David

Abstract

It is a virtual certainty that sea-level rise will continue throughout the century and beyond 2100 even if greenhouse gas emissions are stabilized in the near future. Understanding the economic impacts of salinity intrusion thus is essential for planning adaptation in low-lying coastal areas around the world. This paper presents a case study in Bangladesh on how climate change leads to the spread of soil salinity and the impact on agricultural production in the coastal region. The analysis is conducted in two stages. The first stage predicts future soil salinity for 69 subdistricts, taking into account climate-induced changes in river salinity, temperature, and rainfall by 2050. The second stage uses econometric analysis to predict the impact of climate-induced increases in soil salinity on the output and price of high-yielding-variety rice. The findings indicate output declines of 15.6 percent in nine subdistricts where soil salinity will exceed 4 deciSiemens per meter before 2050. Without newly developed coping strategies, the predicted changes will produce significant income declines from high-yielding-variety rice production in many areas, including a 10.5 percent loss in Barisal region and a 7.5 percent loss in Chittagong region.

Suggested Citation

  • Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2014. "Climate change, soil salinity, and the economics of high-yield rice production in coastal Bangladesh," Policy Research Working Paper Series 7140, The World Bank.
  • Handle: RePEc:wbk:wbrwps:7140
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2014/12/19/000158349_20141219101641/Rendered/PDF/WPS7140.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Wheeler, 2011. "Quantifying Vulnerability to Climate Change: Implications for Adaptation Assistance - Working Paper 240," Working Papers 240, Center for Global Development.
    2. Thomas, Timothy S. & Mainuddin, Khandaker & Chiang, Catherine & Rahman, Aminur & Haque, Anwarul & Islam, Nazria & Quasem, Saad & Sun, Yun, 2013. "Agriculture and adaptation in Bangladesh: Current and projected impacts of climate change:," IFPRI discussion papers 1281, International Food Policy Research Institute (IFPRI).
    3. Behrman, Jere R & Pollak, Robert A & Taubman, Paul, 1982. "Parental Preferences and Provision for Progeny," Journal of Political Economy, University of Chicago Press, vol. 90(1), pages 52-73, February.
    4. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    5. Buys, Piet & Chomitz, Kenneth & Dasgupta, Susmita & Deichmann, Uwe & Larsen, Bjorn & Meisner, Craig & Nygard, Jostein & Pandey, Kiran & Pinnoi, Nat & Wheeler, David, 2004. "The Economics of Regional Poverty-Environment Programs: An Application for Lao People's Democratic Republic," Policy Research Working Paper Series 3267, The World Bank.
    6. Dasgupta, Susmita & Kamal, Farhana Akhter & Khan, Zahirul Huque & Choudhury, Sharifuzzaman & Nishat, Ainun, 2014. "River salinity and climate change : evidence from coastal Bangladesh," Policy Research Working Paper Series 6817, The World Bank.
    7. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    8. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    9. World Bank, 2000. "Bangladesh : Climate Change and Sustainable Development," World Bank Publications - Reports 15706, The World Bank Group.
    10. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    11. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    12. Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár, 2012. "Clustering, Spatial Correlations, and Randomization Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 578-591, June.
    13. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    14. William R. Cline, 2007. "Global Warming and Agriculture: Impact Estimates by Country," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 4037, October.
    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. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    2. Md Kamrul Hasan & Sam Desiere & Marijke D’Haese & Lalit Kumar, 2018. "Impact of climate-smart agriculture adoption on the food security of coastal farmers in Bangladesh," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 1073-1088, August.
    3. Gemma Hayward & Sonja Ayeb-Karlsson, 2021. "‘Seeing with Empty Eyes’: a systems approach to understand climate change and mental health in Bangladesh," Climatic Change, Springer, vol. 165(1), pages 1-30, March.
    4. S. Nazrul Islam & John Winkel, 2017. "Climate Change and Social Inequality," Working Papers 152, United Nations, Department of Economics and Social Affairs.
    5. Thiam, Sophie & Villamor, Grace B. & Kyei-Baffour, Nicholas & Matty, François, 2019. "Soil salinity assessment and coping strategies in the coastal agricultural landscape in Djilor district, Senegal," Land Use Policy, Elsevier, vol. 88(C).
    6. Mohammad Chhiddikur Rahman & Md Shajedur Rahaman & Jatish C. Biswas & Niaz Md. Farhat Rahman & Mohammad Ariful Islam & Md Abdur Rouf Sarkar & Md Saiful Islam & Md Maniruzzaman, 2023. "Climate change and risk scenario in Bangladesh," Asia-Pacific Journal of Regional Science, Springer, vol. 7(2), pages 381-404, June.
    7. Billal Hossen & Helmut Yabar & Md Jamal Faruque, 2022. "Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh," Land, MDPI, vol. 11(10), pages 1-18, October.
    8. Md. Mostafizur Rahman & Farah Tasnim & Mahmuda Zaman Mukta & Ayesha Abedin & Komal Raj Aryal, 2022. "Assessing Barriers in Humanitarian Supply Chains for Cyclone in Coastal Areas of Bangladesh: An Interpretive Structural Modeling (ISM) Approach," Sustainability, MDPI, vol. 14(15), pages 1-13, August.
    9. Le, Hanh-My & Ludwig, Markus, 2022. "The Salinization of Agricultural Hubs: Impacts and Adjustments to Intensifying Saltwater Intrusion in the Mekong Delta," VfS Annual Conference 2022 (Basel): Big Data in Economics 264102, Verein für Socialpolitik / German Economic Association.
    10. Russ,Jason Daniel & Zaveri,Esha Dilip & Damania,Richard & Desbureaux,Sebastien Gael & Escurra,Jorge Jose & Rodella,Aude-Sophie, 2020. "Salt of the Earth : Quantifying the Impact of Water Salinity on Global Agricultural Productivity," Policy Research Working Paper Series 9144, The World Bank.
    11. Ranjan Roy & Animesh K. Gain & Margot A. Hurlbert & Narimah Samat & Mou Leong Tan & Ngai Weng Chan, 2021. "Designing adaptation pathways for flood-affected households in Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5386-5410, 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. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    2. Wheeler, David & Hammer, Dan & Kraft, Robin & Dasgupta, Susmita & Blankespoor, Brian, 2013. "Economic dynamics and forest clearing: A spatial econometric analysis for Indonesia," Ecological Economics, Elsevier, vol. 85(C), pages 85-96.
    3. Dasgupta, Susmita & Hammer, Dan & Kraft, Robin & Wheeler, David, 2014. "Vyāghranomics in space and time: Estimating habitat threats for Bengal, Indochinese, Malayan and Sumatran tigers," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 433-453.
    4. Huang, Wei, 2019. "Forest condition change, tenure reform, and government-funded eco-environmental programs in Northeast China," Forest Policy and Economics, Elsevier, vol. 98(C), pages 67-74.
    5. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    6. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    7. Harald Badinger & Peter Egger, 2013. "Estimation and testing of higher-order spatial autoregressive panel data error component models," Journal of Geographical Systems, Springer, vol. 15(4), pages 453-489, October.
    8. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
    9. Zhang, Yuanqing & Sun, Yanqing, 2015. "Estimation of partially specified dynamic spatial panel data models with fixed-effects," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 37-46.
    10. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    11. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    12. Xuan Liang & Jiti Gao & Xiaodong Gong, 2022. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1784-1802, October.
    13. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    14. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    15. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    16. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    17. Arfat Ahmad Sofi & Subash Sasidharan, 2018. "Do Indian States Mimic, Compete or Interact in Local Public Spending? A Spatial Econometric Analysis," Asian Economic Journal, East Asian Economic Association, vol. 32(2), pages 187-213, June.
    18. Bai, Jushan & Li, Kunpeng, 2013. "Spatial panel data models with common shocks," MPRA Paper 52786, University Library of Munich, Germany, revised 09 Mar 2014.
    19. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    20. Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2023. "Saddlepoint Approximations for Spatial Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(542), pages 1164-1175, April.

    More about this item

    Keywords

    Water Resources Assessment; Water Conservation; Hydro Power; Environmental Economics&Policies; Science of Climate Change;
    All these keywords.

    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:wbk:wbrwps:7140. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.