Skip to main content

Advertisement

Log in

Regional mapping of climate variability index and identifying socio-economic factors influencing farmer’s perception in Bangladesh

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Studies conducted in Bangladesh so far did not unequivocally identify the modus operandi of local farmers to perceive and experience the climate variability at a national scale. Hence, this study aims to decipher local farmer’s perception on climate variability for the last 10 years, by constructing climate variability index (CVI). Additionally, this study demystified the socio-economic determinants for influencing farmer perception regarding climate variability as well as its impact on their livelihoods. The study was designed on a cross-sectional data through a country-wide primary survey of 16,053 households who were largely dependent on agriculture. A weighted index was constructed for mapping the regional climate variability using model-builder programming in ArcGIS. Also, a multivariable probit model was employed to identify the factors influencing farmers' perception and resulting impact of climate variability on their livelihoods. According to local farmer’s perception, the CVI mapping identified that Bangladesh experienced variegated climatic variability since last 10 years. However, local farmer’s perception varied with different socio-economic factors like gender, education, farmer’s category, credit, monthly income and access to media. Moreover, landless, small and medium farm holders were more aware of the local climate variability and eventually, they also experienced the higher influence of climate variability on their livelihoods. Since an effective mapping of regional climate variability is a sine qua non to devise region specific policies, this study will facilitate the government to determine its priorities, formulate efficacious strategies and thereby help to adapt with future climate-induced risks and vulnerabilities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Data Availability

Data are publicly available; however, interested researcher may contact the corresponding author rabbi@pik-potsdam.de. Data and materials may be shared with the qualified researchers after considering of all aspects.

References

  • Abdul-Razak, M., & Kruse, S. (2017). The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana. Climate Risk Management, 17, 104–122. https://doi.org/10.1016/j.crm.2017.06.001.

    Article  Google Scholar 

  • Ado AM, Leshan J, Savadogo P, Bo L, Shah AA (2018) Farmers’ awareness and perception of climate change impacts: case study of Aguie district in Niger. Environment Development and Sustainability. 1–15.

  • Akanda, M. G. R., & Howlader, M. S. (2015). Coastal farmers’ perception of climate change effects on agriculture at galachipa upazila under Patuakhali District of Bangladesh. Global Journals of Science Frontier Research Agriculture and Veterinary., 15(4), 30–39.

    Google Scholar 

  • Alam, G. M. M., Alam, K., & Mushtaq, S. (2017). Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Climate Risk Management, 17, 52–63. https://doi.org/10.1016/j.crm.2017.06.006.

    Article  Google Scholar 

  • Asrat, P., & Simane, B. (2018). Farmers’ perception of climate change and adaptation strategies in the Dabus watershed. North-West Ethiopia Ecological Processes., 7(1), 7.

    Article  Google Scholar 

  • Ayanlade, A., Radeny, M., & Morton, J. F. (Sept). Comparing smallholder farmers’ perception of climate change with meteorological data: A case study from southwestern Nigeria. Weather and Climate Extremes, 2017(15), 24–33. https://doi.org/10.1016/j.wace.2016.12.001.

    Article  Google Scholar 

  • BBS. (2015). Yearbook of Agricultural Statistics-2015. http://bbs.portal.gov.bd/sites/default/files/files/bbs.portal.gov.bd/page/1b1eb817_9325_4354_a756_3d18412203e2/Yearbook-2015.pdf.

  • Callo-Concha, D. (2018). Farmer perceptions and climate change adaptation in the west africa sudan savannah: reality check in Dassari, Benin, and Dano, Burkina Faso. Climate, 6(2), 44.

    Article  Google Scholar 

  • CEGIS, GoB. (2013). Vulnerability to climate induced drought. 53(9), 1689–1699.

  • Davis, P., Ali S. (2014). Exploring Local Perceptions of Climate Change Impact and Adaptation in Rural Bangladesh. IFPRI Discussion Paper 01322. https://doi.org/10.2139/ssrn.2405696.

  • Doll, J. E., Petersen, B., & Bode, C. (2017). Skeptical but adapting: what midwestern farmers say about climate change. Weather Climate Social, 9(4), 739–751.

    Article  Google Scholar 

  • Ferdushi, Ismail, Kamil. Perceptions, Knowledge and Adaptation About Climate Change: A Study on Farmers of Haor Areas After a Flash Flood in Bangladesh. Climate 2019;7(7):85. Available https://www.mdpi.com/2225-1154/7/7/85.

  • Grimberg, B. I., Ahmed, S., Ellis, C., Miller, Z., & Menalled, F. (2018). Climate change perceptions and observations of agricultural stakeholders in the northern great plains. Sustainability, 10(5), 1–17.

    Article  Google Scholar 

  • Hitayezu, P., Wale, E., & Ortmann, G. (2017). Climate risk management assessing farmers ’ perceptions about climate change : A double- hurdle approach. Climate Risk Management, 17, 123–138. https://doi.org/10.1016/j.crm.2017.07.001.

    Article  Google Scholar 

  • Huq, S., Reid, H., Konate, M., Rahman, A., Sokona, Y., & Crick, F. (2004). Mainstreaming adaptation to climate change in least developed countries (LDCs). Climate Policy., 4, 25–43.

    Article  Google Scholar 

  • IPCC. Climate Change 2007: impacts, adaptation and vulnerability: contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel. Genebra, Suíça. 2007. Available from: http://books.google.com/books?hl=en&lr=&id=TNo-SeGpn7wC&oi=fnd&pg=PA81&dq=Climate+Change+2007:+Impacts,+Adaptation+and+Vulnerability.+Contribution+of+Working+Group+II+to+the+Fourth+Assessment+Report+of+the+Intergovernmental+Panel+on+Climate+Change&ots=vP2.

  • Islam, M., & Paul, S. (2018). People’s perception on agricultural vulnerabilities to climate change and SLR in Bangladesh: adaptation strategies and explanatory variables. International Journal of Agricultural Research Innovation and Technology, 8(1), 70–78.

    Article  Google Scholar 

  • Islam, M. S., Kabir, M. H., Ali, M. S., Sultana, M. S., & Mahasin, M. (2019). Farmers’ knowledge on climate change effects in agriculture. Agricultural Science, 10(03), 386–394.

    Google Scholar 

  • Kamruzzaman, M. (2015). Farmers ’ perceptions on climate change : A step toward climate change adaptation in sylhet hilly region. Universal Journal of Agricultural Research., 3(2), 53–58.

    Article  Google Scholar 

  • Karmakar, S. (2001). Climatology of thunderstorm days over Bangladesh during the pre-monsoon season. Journal of Bangladesh Acadamy of Science, 3(1), 103–112.

    Google Scholar 

  • Marchal, V., Dellink, R., Van, V. D., Clapp, C., Château, J., Magné, B., et al. (2012). Climate Perception Survey. The Asia Foundation. https://asiafoundation.org/resources/pdfs/ClimateChangeperceptionsurvey.pdf.

  • Moniruzzaman S. Crop choice as climate change adaptation: Evidence from Bangladesh. Ecol Econ. 2015 Oct [cited 2015 Aug 5];118:90–8. Available from: http://www.sciencedirect.com/science/article/pii/S0921800915003031.

  • Mulwa, C., Marenya, P., Rahut, D. B., & Kassie, M. (2017). Response to climate risks among smallholder farmers in Malawi: A multivariate probit assessment of the role of information, household demographics, and farm characteristics. Climate Risk Management, 16, 208–221. https://doi.org/10.1016/j.crm.2017.01.002.

    Article  Google Scholar 

  • Murray L, Nguyen H, Lee Y-F, Remmenga MD, Smith DW. Variance Inflation Factors in regression models with dummy variables. Annu Conf Appl Stat Agric. 2012;1–18. Available from: http://newprairiepress.org/agstatconference%0A

  • Ndambiri, H. K., Ritho, C. N., & Mbogoh, S. G. (2013). an Evaluation of Farmers’ Perceptions of and Adaptation To the Effects of Climate Change in Kenya. International Journal of Food and Agricultural Economic, 1(1), 75–96.

    Google Scholar 

  • Nyanga, P. H., Johnsen, F. H., Aune, J. B., & Kalinda, T. H. (2011). Smallholder farmers’ perceptions of climate change and conservation agriculture: evidence from Zambia. Journal of Sustainability Development, 4(4), 73–85.

    Google Scholar 

  • Peng, C. Y. J., Lee, K. L., & Ingersoll, G. M. (2002). An introduction to logistic regression analysis and reporting. The Journal of Educational Research. https://doi.org/10.1080/00220670209598786.

  • Rashid, M. H., Afroz, S., Gaydon, D., Muttaleb, A., Poulton, P., Roth, C., et al. (2014). Climate change perception and adaptation options for agriculture in Southern Khulna of Bangladesh. Applied Ecology and Environmental Science, 2(1), 25–31.

    Article  Google Scholar 

  • Roy, D., Kowsari, M. S., Nath, T. D., Taiyebi, K. A., & Rashid, M. (2018). Smallholder farmers ’ perception to climate change impact on crop production : Case from drought prone areas of Bangladesh. International Journal of Agriculture and Technology, 14(7), 1813–1828.

    Google Scholar 

  • Sahu, N. C., & Mishra, D. (2013). Analysis of perception and adaptability strategies of the farmers to climate change in Odisha, India. APCBEE Procedia, 5, 123–127. https://doi.org/10.1016/j.apcbee.2013.05.022.

    Article  Google Scholar 

  • Sani, S., & Chalchisa, T. (2016). Farmers ’ perception, impact and adaptation strategies to climate change among smallholder farmers in sub-Saharan Africa : A systematic review. Jornal of Resourse Development Management, 26, 1–8.

    Google Scholar 

  • Shahid, S. (2010). Recent trends in the climate of Bangladesh. Climate Research, 42(3), 185–193.

    Article  Google Scholar 

  • Tripathi, A., & Mishra, A. K. (2017). Knowledge and passive adaptation to climate change: An example from Indian farmers. Climate Risk Management, 2017(16), 195–207. https://doi.org/10.1016/j.crm.2016.11.002.

    Article  Google Scholar 

  • Uddin, M. S., & Suravi, R. H. (2019). The rise of a new disaster in Bangladesh: analysis of Characteristics and vulnerabilities of lightning during March to September 2018. In: Proceedings on international conference on disaster risk management, September 2018 (pp. 511–516).

  • Uddin, M. N., Bokelmann, W., & Dunn, E. S. (2017). Determinants of farmers’ perception of climate change: a case study from the coastal region of Bangladesh. American Journal of Climate Change., 06(01), 151–165.

    Article  Google Scholar 

  • Williams, R., Allison, P. D., & Moral-Benito, E. (2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867X1801800201.

Download references

Acknowledgements

This research was solely accomplished under the doctoral funding provided by the International panel for climate change (IPCC).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sifat E. Rabbi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Consent for publication

All authors have read and approved the submission.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 98 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rabbi, S.E., Shant, R., Karmakar, S. et al. Regional mapping of climate variability index and identifying socio-economic factors influencing farmer’s perception in Bangladesh. Environ Dev Sustain 23, 11050–11066 (2021). https://doi.org/10.1007/s10668-020-01104-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-020-01104-2

Keywords

Navigation