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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Climate-Smart Food Systems
Volume 8 - 2024 | doi: 10.3389/fsufs.2024.1442301
This article is part of the Research Topic Transforming African Food Systems View all 6 articles

Effects of Contract Farming Arrangements effectiveness perceptions on Best Crop Management Practices Adoption by Sugarcane farmers in Tanzania

Provisionally accepted
Innocensia Dickson Pato Innocensia Dickson Pato 1,2Maurice Osewe Maurice Osewe 1Jiqin Han Jiqin Han 1*
  • 1 Nanjing Agricultural University, Nanjing, China
  • 2 Sokoine University of Agriculture, Morogoro, Tanzania

The final, formatted version of the article will be published soon.

    Resilience of agro-processing firms under contract farming production heavily depends on the quality and quantity of supplies from linked farmers. Adopting best crop management practices (BCMPs) is crucial to improve production and meet the supply needs of contracting firms. Understanding the factors influencing farmers' decisions is key to successful implementation of adoption-promoting strategies. This study explored effects of farmers' perceptions of contract farming arrangements (CFA) effectiveness on sugarcane BCMPs adoption, using survey data from 400 farmers in Tanzania. Results from both a multivariate probit model for specific practices and ordinal regression for the adoption intensity reveal positive effects. Specifically, the perceived effectiveness of pricing and payment systems and produce supply management showed greater effects on BCMPs adoption than resource support and extension services provision. These findings suggest that efforts should not only focus on enhancing farmers' production capabilities by extending input, credit and technical support packages, but also ensured presence of incentives on pricing and payment system and contract terms compliance enforcement mechanisms that minimize farmer loss risks, would highly improve BCMPs adoption among sugarcane contract farmers.

    Keywords: Contract Farming Arrangement, Best crop management practices, sugarcane, Multivariate probit model, Principal Component Analysis

    Received: 01 Jun 2024; Accepted: 28 Nov 2024.

    Copyright: © 2024 Pato, Osewe and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jiqin Han, Nanjing Agricultural University, Nanjing, China

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