IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/348110.html

Adoption of ox-drawn minimum tillage ripping by smallholder farmers in Zambia

Author

Listed:
  • Sakala, Isabel C.
  • Kalinda, Thomson H.
  • Nkonde, Chewe
  • Burkem, William J.

Abstract

Applying a triple hurdle model to nationally representative farm household data from Zambia, this study examines determinants associated with three sequential crop production decisions: animal draught power adoption, minimum tillage ripping adoption, and the extent of hectares ripped. The correlated random effects estimator is also used to explore two dimensions of minimum tillage ripping adoption: changes in adoption within a household over time (within-household effect) and differences in adoption between households at a given time (between-household effect). Results reveal that age and gender of the household head, the head's level of education, household labour, hectares cultivated, ripper ownership, loan access, receiving conservation farming advice and distance to agricultural service providers are some of the key determinants associated with the three stages investigated using the triple hurdle model. The correlated random effects results demonstrate that while certain factors enhance or inhibit the expected value of hectares ripped within a given household, it is not always the case that these factors have a similar effect when the analysis is between households. This article highlights policy options to enhance ownership of rippers, support smallholder farmer access to loans, facilitate development of agro-dealer networks, and innovative approaches for disseminating conservation farming information to farmers.

Suggested Citation

  • Sakala, Isabel C. & Kalinda, Thomson H. & Nkonde, Chewe & Burkem, William J., 2021. "Adoption of ox-drawn minimum tillage ripping by smallholder farmers in Zambia," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 60(3), July.
    • Handle: RePEc:ags:agreko:348110
    DOI: 10.22004/ag.econ.348110
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/348110/files/Adoption%20of%20ox-drawn%20minimum%20tillage%20ripping%20by%20smallholder%20farmers%20in%20Zambia.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.348110?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. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    2. Marc F. Bellemare & Christopher B. Barrett, 2006. "An Ordered Tobit Model of Market Participation: Evidence from Kenya and Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 324-337.
    3. Savadogo, Kimseyinga & Reardon, Thomas & Pietola, Kyosti, 1998. "Adoption of improved land use technologies to increase food security in Burkina Faso: relating animal traction, productivity, and non-farm income," Agricultural Systems, Elsevier, vol. 58(3), pages 441-464, November.
    4. Bridget. B. Umar & Jens. B. Aune & Fred. H. Johnsen & Obed. I. Lungu, 2011. "Options for Improving Smallholder Conservation Agriculture in Zambia," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 3(3), pages 1-50, September.
    5. Grabowski, Philip P. & Haggblade, Steven & Kabwe, Stephen & Tembo, Gelson, 2014. "Minimum tillage adoption among commercial smallholder cotton farmers in Zambia, 2002 to 2011," Agricultural Systems, Elsevier, vol. 131(C), pages 34-44.
    6. William J. Burke & Robert J. Myers & Thomas S. Jayne, 2015. "A Triple-Hurdle Model of Production and Market Participation in Kenya's Dairy Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1227-1246.
    7. Maurice Ogada & Germano Mwabu & Diana Muchai, 2014. "Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-18, December.
    8. 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.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    10. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    3. William J Burke, 2019. "Evidence against Imposing Restrictions on Hurdle Models as a Test for Simultaneous versus Sequential Decision Making," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1473-1481.
    4. Abebayehu Girma Geffersa, 2024. "Does cooperative membership enhance inorganic fertilizer use intensity? Panel data evidence from maize farmers in Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 95(2), pages 327-361, June.
    5. Achoja Roland Onomu, 2024. "Determinants of Indigenous Floral Foods’ Commercialization among Rural Households: The Outcome of Double and Triple Hurdles in Amathole District Rural Community," Sustainability, MDPI, vol. 16(19), pages 1-25, September.
    6. 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.
    7. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    8. Makate, Clifton & Angelsen, Arild & Holden, Stein Terje & Westengen, Ola Tveitereid, 2022. "Crops in crises: Shocks shape smallholders' diversification in rural Ethiopia," World Development, Elsevier, vol. 159(C).
    9. Adjognon, Serge G. & Liverpool-Tasie, Lenis Saweda O. & Reardon, Thomas A., 2017. "Agricultural input credit in Sub-Saharan Africa: Telling myth from facts," Food Policy, Elsevier, vol. 67(C), pages 93-105.
    10. Theodoros Skevas & Ray Massey & Jasper Grashuis, 2022. "Farmer adoption and intensity of use of extreme weather adaptation and mitigation strategies: evidence from a sample of Missouri farmers," Climatic Change, Springer, vol. 174(1), pages 1-23, September.
    11. 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.
    12. Ren, Yongwang & Lambert, Dayton M. & Clark, Christopher D. & Boyer, Christopher N. & Griffith, Andre P., 2021. "Adoption of Warm Season Grasses by Beef Cattle Producers in the Fescue Belt," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(01), January.
    13. 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.
    14. Kadjo, Didier & Ricker-Gilbert, Jacob & Tahirou, Abdoulaye & Shively, Gerald & Baco, Nasser, 2016. "Adverse selection in informal maize markets in Benin," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249289, African Association of Agricultural Economists (AAAE).
    15. Chrispin Sunganani Kaphaika & Samson Pilanazo Katengeza & Innocent Pangapanga-Phiri & Madalitso Happy Chambukira, 2023. "More Interventions, Low Adoption: To What Extent Are the Existing Seed Sources to Blame? The Case of Orange Fleshed Sweet Potato in Central and Northern Malawi," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    16. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    17. 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.
    18. Channa, Hira & Chen, Amy Z. & Pina, Patricia & Ricker-Gilbert, Jacob & Stein, Daniel, 2019. "What drives smallholder farmers’ willingness to pay for a new farm technology? Evidence from an experimental auction in Kenya," Food Policy, Elsevier, vol. 85(C), pages 64-71.
    19. Hambulo Ngoma, 2018. "Does minimum tillage improve the livelihood outcomes of smallholder farmers in Zambia?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(2), pages 381-396, April.
    20. Charuta M. Parkhi & Lenis Saweda O. Liverpool‐Tasie & Thomas Reardon, 2023. "Do smaller chicken farms use more antibiotics? Evidence of antibiotic diffusion from Nigeria," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 242-262, January.

    More about this item

    Keywords

    ;
    ;

    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:agreko:348110. 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://edirc.repec.org/data/aeasaea.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.