| Peer-Reviewed

Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh

Received: 2 July 2022     Accepted: 22 July 2022     Published: 5 August 2022
Views:       Downloads:
Abstract

Climate change is expected to have significant environmental, economic, and social consequences for coastal farmers whose livelihood is dependent on nature. Agriculture is their main occupation and climate has a great impact on agriculture. As the economy of Bangladesh mainly hangs on agriculture so the impact is shown in the economy of this country. The factors that influence the adoption of climate-smart agriculture technology (improved stress-tolerant cultivars) in rice production in Bangladesh's Satkhira District were investigated in this study. Climate-Smart Agriculture refers to agricultural strategies that increase efficiency, improve resilience (adaptation), and reduce greenhouse gas emissions (mitigation). This study based on 100 rice-farming households from three villages in the sub-district of Tala Upazila in the coastal district of Satkhira, Bangladesh, an area likely to face increasing salinization due to relative sea-level rise, to determine the factors explaining which households were more likely to convert to salt-tolerant varieties of rice. This study found that higher levels of education, more farming experience, subsistence farming, access to credit and smaller family size were all significant predictors. The DAE, NGOs, policymakers, and government should keep attention to Education, Experience in farming, eating from own food and Family size, and Access to credit. It is possible to by increasing literacy and availability of information in the coastal area.

Published in American Journal of Environmental Protection (Volume 11, Issue 4)
DOI 10.11648/j.ajep.20221104.12
Page(s) 97-102
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Climate-Smart Agriculture (CSA), Adoption, Rice, Agriculture, Farmers, Bangladesh, Climate Change

References
[1] "CIA – The World Factbook". Central Intelligence Agency. Retrieved 5 December 2019.
[2] Akhter M. & Sarkar M. M. R. (2021) Impacts of Climate Factors Influencing Rice Production in Bangladesh. International Journal of Environment and Climate Change, 11 (1), 43-52. https://doi.org/10.9734/ijecc/2021/v11i130336.
[3] Bureau of South and Central Asian Affairs (SCA) March 2008. Retrieved 11 June 2008. This article incorporates text from this source, which is in the public domain.
[4] Sarker, M. M. R. & Fagun, A. N. (2021). COVID-19, Food Security, Food Prices and Urban-rural Interrelationship for Sustainable Food and Nutritional Security: A Study on Dhaka City. International Journal of Agricultural Economics, 6 (1), 47.
[5] Trisurat, Y., Alkemade, J. R. M. and Arets, E. J. M. M. 2009. Projecting forest tree distributions and adaptation to climate change in northern Thailand. J. Ecol. Nat. Environ. 1 (3): 55-63.
[6] Rahman, A., Mojid, M. A. and Banu, S. 2018. Climate change impact assessment on three major crops in the north-central region of Bangladesh using DSSAT. Int. J. Agril. Biol. Engi. 11 (4): 135-143. https://doi.org/10.25165/j.ijabe.20181103.3331.
[7] Elahi, F. and Khan, N. I. 2015. A study on the effects of global warming in Bangladesh. Int. J. Environ. Monitor. Anal. 3 (3): 118-122. https://doi.org/10.11648/j.ijema.20150303.12.
[8] FAO. 2010. Climate smart agriculture policies, practices and financing for food security, adaptation and mitigation. Food and Agriculture Organization (FAO), Rome, Italy.
[9] WB. 2009. South Asia: Shared views on development and climate change. South Asia Region.
[10] CANSA, APAN & OXFAM. 2014. Adapting climate impact agriculture in South Asia. Climate Action Network South Asia and Asia Pacific Adaptation Network and OXFAM, Dhaka 1212, Bangladesh.
[11] IPCC. 2014. Assessing and managing the risks of climate change. Intergovernmental Panel on Climate Change (IPCC).
[12] Nambi A. 2014. Adapting climate impacted agriculture in South Asia. Climate Action Network South Asia.
[13] Pound, B., Lamboll, R., Croxton, S., Gupta, N., & Bahadur, A. V. 2018. Climate-resilient agriculture in south asia: An analytical framework and insights from practice. Action on Climate Today.
[14] Uthappa, A. R., Chavan, S. B., Handa, A. K., Newaj, R., Kumar, D., Sridhar, K. B. and Chaturvedi, O. P. 2017. Agroforestry - a sustainable solution to address climate change challenges. pp. 1-22. In: Gupta, et al. (Eds), Agroforestry for Increased Production and Livelihood Security, New India Publishing Agency. New Delhi.
[15] Lipper, L., Thornton, P., Campbell, B. M., Baedeker, T., Braimoh, A., Bwalya, M. and Torquebiau, E. F. (2014) ‘Climate-smart agriculture for food security’, Nature Climate Change, Vol. 4, No. 12, pp. 1068–1072.
[16] FAO (2013a) Climate-Smart Agriculture, Food and Agriculture Organization of the United Nations, Rome, Italy.
[17] Sarker, M. M. R. (2010). Determinants of arsenicosis patients’ perception and social implications of arsenic poisoning through groundwater in Bangladesh. International Journal of Environmental Research and Public Health, 7 (10), 3644–3656.
[18] Khatri-Chhetri, A., P. K. Aggarwal, P. K. Joshi, and S. Vyas. 2017. “Farmers’ prioritization of climate-smart agriculture (CSA) technologies.” Agricultural Systems 151: 184-191. https://doi.org/10.1016/j.agsy.2016.10.005.
[19] Sarker, M. M. R. 2012. Spatial modeling of households’ knowledge about arsenic pollution in Bangladesh. Soc Sci Med 74: 1232–9.
[20] Gebrehiwot, T., and A. Van Der Veen. 2013. “Farm-level adaptation to climate change: The case of farmer’s in the Ethiopian Highlands.” Environmental Management 52 (1): 29-44. https://doi.org/10.1007/s00267-013-0039-3.
[21] Teklewold, H., M. Kassie, and B. Shiferaw. 2013. “Adoption of multiple sustainable agricultural practices in rural Ethiopia.” Journal of Agricultural Economics 64 (3): 597-623. https://doi.org/10.1111/1477-9552.12011.
[22] Addisu, S., G. Fissha, B. Gediff, and Y. Asmelash. 2016. “Perception and adaptation models of climate change by the rural people of lake Tana Sub-Basin, Ethiopia.” Environmental Systems Research 5 (7): 1-10. https://doi.org/10.1186/ s40068-016-0059-0.
[23] Asrat, P., and B. Simane. 2018. “Farmers’ perception of climate change and adaptation strategies in the Dabus watershed, North-West Ethiopia.” Ecological Processes 7 (7): 1-13. https://doi.org/10.1186/s13717-018-0118-8.
[24] Dung, L. T., D. P. Ho, N. T. K. Hiep, and P. T. Hoi. 2018. “The determinants of rice farmers’ adoption of sustainable agricultural technologies in the Mekong Delta, Vietnam.” Applied Economics Journal 25 (2): 55-69.
[25] Fadina, A. M. R., and D. Barjolle. 2018. “Farmers’ adaptation strategies to climate change and their implications in the Zou Department of South Benin.” Environments 5 (15): 1-17. https://doi.org/10.3390/environments5010015.
Cite This Article
  • APA Style

    M. Mizanur Rahman Sarker, Maruf Khan, Mosammod Mahamuda Parvin, Farah Hossain Jury, Anika Nawar Fagun. (2022). Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh. American Journal of Environmental Protection, 11(4), 97-102. https://doi.org/10.11648/j.ajep.20221104.12

    Copy | Download

    ACS Style

    M. Mizanur Rahman Sarker; Maruf Khan; Mosammod Mahamuda Parvin; Farah Hossain Jury; Anika Nawar Fagun. Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh. Am. J. Environ. Prot. 2022, 11(4), 97-102. doi: 10.11648/j.ajep.20221104.12

    Copy | Download

    AMA Style

    M. Mizanur Rahman Sarker, Maruf Khan, Mosammod Mahamuda Parvin, Farah Hossain Jury, Anika Nawar Fagun. Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh. Am J Environ Prot. 2022;11(4):97-102. doi: 10.11648/j.ajep.20221104.12

    Copy | Download

  • @article{10.11648/j.ajep.20221104.12,
      author = {M. Mizanur Rahman Sarker and Maruf Khan and Mosammod Mahamuda Parvin and Farah Hossain Jury and Anika Nawar Fagun},
      title = {Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh},
      journal = {American Journal of Environmental Protection},
      volume = {11},
      number = {4},
      pages = {97-102},
      doi = {10.11648/j.ajep.20221104.12},
      url = {https://doi.org/10.11648/j.ajep.20221104.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20221104.12},
      abstract = {Climate change is expected to have significant environmental, economic, and social consequences for coastal farmers whose livelihood is dependent on nature. Agriculture is their main occupation and climate has a great impact on agriculture. As the economy of Bangladesh mainly hangs on agriculture so the impact is shown in the economy of this country. The factors that influence the adoption of climate-smart agriculture technology (improved stress-tolerant cultivars) in rice production in Bangladesh's Satkhira District were investigated in this study. Climate-Smart Agriculture refers to agricultural strategies that increase efficiency, improve resilience (adaptation), and reduce greenhouse gas emissions (mitigation). This study based on 100 rice-farming households from three villages in the sub-district of Tala Upazila in the coastal district of Satkhira, Bangladesh, an area likely to face increasing salinization due to relative sea-level rise, to determine the factors explaining which households were more likely to convert to salt-tolerant varieties of rice. This study found that higher levels of education, more farming experience, subsistence farming, access to credit and smaller family size were all significant predictors. The DAE, NGOs, policymakers, and government should keep attention to Education, Experience in farming, eating from own food and Family size, and Access to credit. It is possible to by increasing literacy and availability of information in the coastal area.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Determinants of Adoption of Climate-Smart Agriculture Technologies in Rice Production in Bangladesh
    AU  - M. Mizanur Rahman Sarker
    AU  - Maruf Khan
    AU  - Mosammod Mahamuda Parvin
    AU  - Farah Hossain Jury
    AU  - Anika Nawar Fagun
    Y1  - 2022/08/05
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajep.20221104.12
    DO  - 10.11648/j.ajep.20221104.12
    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
    SP  - 97
    EP  - 102
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20221104.12
    AB  - Climate change is expected to have significant environmental, economic, and social consequences for coastal farmers whose livelihood is dependent on nature. Agriculture is their main occupation and climate has a great impact on agriculture. As the economy of Bangladesh mainly hangs on agriculture so the impact is shown in the economy of this country. The factors that influence the adoption of climate-smart agriculture technology (improved stress-tolerant cultivars) in rice production in Bangladesh's Satkhira District were investigated in this study. Climate-Smart Agriculture refers to agricultural strategies that increase efficiency, improve resilience (adaptation), and reduce greenhouse gas emissions (mitigation). This study based on 100 rice-farming households from three villages in the sub-district of Tala Upazila in the coastal district of Satkhira, Bangladesh, an area likely to face increasing salinization due to relative sea-level rise, to determine the factors explaining which households were more likely to convert to salt-tolerant varieties of rice. This study found that higher levels of education, more farming experience, subsistence farming, access to credit and smaller family size were all significant predictors. The DAE, NGOs, policymakers, and government should keep attention to Education, Experience in farming, eating from own food and Family size, and Access to credit. It is possible to by increasing literacy and availability of information in the coastal area.
    VL  - 11
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • Department of Agricultural Statistics, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Agricultural Statistics, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Management & Finance, Faculty of Agribusiness Management, (SAU), Dhaka, Bangladesh

  • Department of Agricultural Economics, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Department of Agribusiness and Marketing, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh

  • Sections