IDEAS home Printed from https://ideas.repec.org/a/ags/ijarit/304062.html
   My bibliography  Save this article

Determinants of improved chickpea variety adoption in high barind region of Bangladesh

Author

Listed:
  • Sharna, S.C.
  • Kamruzzaman, M.
  • Anik, A.R.

Abstract

Chickpea production in Bangladesh has been decreasing over time. Comprehensive farm-level adoption of modern chickpea varieties can change the scenario. This paper endeavours to ascertain the determinants of adoption and adoption intensity of improved chickpea variety in the high barind region of Bangladesh. The outcomes from Cragg’s double hurdle model showed that organization membership, information sources, crop diversification index, and village location are the crucial factors that positively influenced both the adoption and adoption level. Farmers with organization membership are 15.5% more probable to adopt improved chickpea while by adding one more information source, the adoption probability can be increased by 6.3%. Meanwhile, women’s decisions, training, credit accessibility, and farm size have effects only in favour of initial adoption. The adoption probability is approximately 15% more in the household where women can participate in the decision-making process. Adopters with higher formal education, off-farm income, and mobile usage capability devote a greater proportion of their land to the improved variety cultivation. Strengthen of the network among farmers and their information sources should be emphasized to stimulate the diffusion process of the improved chickpea variety. Besides, training should be available for both female and male of the farm families since women also affect the adoption decision.

Suggested Citation

  • Sharna, S.C. & Kamruzzaman, M. & Anik, A.R., 2020. "Determinants of improved chickpea variety adoption in high barind region of Bangladesh," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 10(1), June.
    • Handle: RePEc:ags:ijarit:304062
    DOI: 10.22004/ag.econ.304062
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/304062/files/8%29%20IJARIT%200290.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.304062?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
    ---><---

    References listed on IDEAS

    as
    1. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    2. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    3. Bezu, Sosina & Kassie, Girma T. & Shiferaw, Bekele & Ricker-Gilbert, Jacob, 2014. "Impact of Improved Maize Adoption on Welfare of Farm Households in Malawi: A Panel Data Analysis," World Development, Elsevier, vol. 59(C), pages 120-131.
    4. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    5. Ricker-Gilbert, Jacob & Jones, Michael, 2015. "Does storage technology affect adoption of improved maize varieties in Africa? Insights from Malawi’s input subsidy program," Food Policy, Elsevier, vol. 50(C), pages 92-105.
    6. Akibode, Comlanvi Sitou & Maredia, Mywish K., 2012. "Global and Regional Trends in Production, Trade and Consumption of Food Legume Crops," Staff Paper Series 136293, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Begum, EsmatAra & Monayem, Miah & Rashid, M.A. & Matin, M.A. & Hossain, Mohammad Ismail, 2018. "Socioeconomic Determinants Of Modern Potato Varieties Adoption And Resource Use Efficiency In Northern Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 37(1-2), June.
    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. Siddique, S.T. & Kamruzzaman, M. & Sharna, S.C., 2020. "Comparative analysis of chickpea with boro rice in drought-prone areas of Bangladesh," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 10(2), December.
    2. Jaber Rana & M. Kamruzzaman & Shaima Chowdhury Sharna & Sohel Rana, 2021. "Growth and efficiency analysis of tobacco production in Bangladesh: a non-parametric approach," SN Business & Economics, Springer, vol. 1(12), pages 1-19, December.

    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. Abebayehu Girma Geffersa & Frank W. Agbola & Amir Mahmood, 2022. "Improved maize adoption and impacts on farm household welfare: Evidence from rural Ethiopia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 860-886, October.
    2. Gbêtondji Melaine Armel Nonvide, 2021. "Adoption of agricultural technologies among rice farmers in Benin," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2372-2390, November.
    3. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    4. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    5. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    6. Omotilewa, Oluwatoba J. & Ricker-Gilbert, Jacob & Ainembabazi, Herbert & Shively, Gerald, 2016. "Impacts of Improved Storage Technology among Smallholder Farm Households in Uganda," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246454, African Association of Agricultural Economists (AAAE).
    7. Aseres Mamo Eshetie & Eunice Matafwali & Gershom Endelani Mwalupaso & Jie Li & Aijun Liu, 2022. "Nexus of Cash Crop Production Using Improved Varieties and Household Food Security," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(4), pages 1803-1830, August.
    8. Jourdain C. Lokossou & Hippolyte D. Affognon & Alphonse Singbo & Michel B. Vabi & Ayoni Ogunbayo & Paul Tanzubil & Alcade C. Segnon & Geoffrey Muricho & Haile Desmae & Hakeem Ajeigbe, 2022. "Welfare impacts of improved groundnut varieties adoption and food security implications in the semi-arid areas of West Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 709-728, June.
    9. Bradfield, Tracy & Butler, Robert & Dillon, Emma J. & Hennessy, Thia & Loughrey, Jason, 2023. "The impact of long-term land leases on farm investment: Evidence from the Irish dairy sector," Land Use Policy, Elsevier, vol. 126(C).
    10. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    11. Oliver Schulte & Trung Thanh Nguyen & Ulrike Grote, 2022. "The Effect of Renting in Cropland on Livelihood Choices and Agricultural Commercialization: A Case Study from Rural Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 2878-2898, December.
    12. Joseph Kangmennaang & Rachel Bezner Kerr & Esther Lupafya & Laifolo Dakishoni & Mangani Katundu & Isaac Luginaah, 2017. "Impact of a participatory agroecological development project on household wealth and food security in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(3), pages 561-576, June.
    13. Ricker-Gilbert, Jacob & Jones, Michael, 2015. "Does storage technology affect adoption of improved maize varieties in Africa? Insights from Malawi’s input subsidy program," Food Policy, Elsevier, vol. 50(C), pages 92-105.
    14. Wubneshe Dessalegn Biru & Manfred Zeller & Tim K. Loos, 2020. "The Impact of Agricultural Technologies on Poverty and Vulnerability of Smallholders in Ethiopia: A Panel Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 517-544, January.
    15. Rao, Elizaphan J.O. & Qaim, Matin, 2011. "The supermarket revolution and impacts on agricultural labor markets: Empirical evidence from Kenya," GlobalFood Discussion Papers 107745, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    16. Hazarika, Bhabesh & Bezbaruah, Madhurjya Prashad & Goswami, Kishor, 2016. "Adoption of modern weaving technology in the handloom micro-enterprises in Assam: A Double Hurdle approach," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 344-356.
    17. Wossen, Tesfamicheal & Alene, Arega & Abdoulaye, Tahirou & Feleke, Shiferaw & Manyong, Victor, 2019. "Agricultural technology adoption and household welfare: Measurement and evidence," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    18. Yigezu, Yigezu A. & Alwang, Jeffrey & Rahman, M. Wakilur & Mollah, M. Bazlur R. & El-Shater, Tamer & Aw-Hassan, Aden & Sarker, Ashutosh, 2019. "Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?," Food Policy, Elsevier, vol. 83(C), pages 48-59.
    19. Muraoka, Rie & Furuya, Jun & Hirano, Akira & Sakurai, Takeshi, 2021. "Climate Risk and Agricultural Technology Adaption: Evidence from Rice Farmers in the Ayeyarwady River Delta of Myanmar," 2021 Conference, August 17-31, 2021, Virtual 314985, International Association of Agricultural Economists.
    20. Abebayehu Girma Geffersa, 2023. "Agricultural productivity, land use intensification and rural household welfare: evidence from Ethiopia," Agrekon, Taylor & Francis Journals, vol. 62(3-4), pages 309-327, October.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:ags:ijarit:304062. 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: AgEcon Search (email available below). General contact details of provider: https://ijarit.webs.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.