Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria

Effective land allocation is central to enhancing agricultural productivity and ensuring sustainable livelihoods among smallholder farmers, particularly in resource-constrained settings. This study investigates the influence of access to livelihood capital on land allocation decisions among smallhol...

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Main Author: Ayodeji Kehinde
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Sustainable Futures
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666188825006045
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author Ayodeji Kehinde
author_facet Ayodeji Kehinde
author_sort Ayodeji Kehinde
collection DOAJ
description Effective land allocation is central to enhancing agricultural productivity and ensuring sustainable livelihoods among smallholder farmers, particularly in resource-constrained settings. This study investigates the influence of access to livelihood capital on land allocation decisions among smallholder farmers. A cross-sectional survey was conducted, generating primary data from 240 respondents. The analysis employed a Multivariate Probit Regression model to identify determinants of access to different forms of livelihood capital, complemented by a Quasi-Maximum Likelihood Fractional Response model with a two-step control approach to assess the impact on land allocation decisions. The Multivariate Probit results revealed that access to physical capital was significantly determined by credit availability, association membership, total annual income, and years of education. Access to financial capital was influenced by years of education, association membership, credit access, farm size, and extension services. Natural capital access was shaped by age, marital status, credit availability, and income, while human capital was significantly affected by age, education, association membership, credit access, income, and farming experience. Access to social capital was driven by age, marital status, household size, farm size, and primary occupation. The two-step control model demonstrated that access to aggregated livelihood capital, as well as gender, marital status, farm size, income, extension services, and access to physical, human, and natural capital, significantly influenced land allocation decisions. These findings underscore the critical role of livelihood capital in shaping land use among smallholder farmers.
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spelling doaj-art-96a669c457714b5693b38bbfe1ca8c892025-08-20T03:58:21ZengElsevierSustainable Futures2666-18882025-12-011010104010.1016/j.sftr.2025.101040Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in NigeriaAyodeji Kehinde0Department of Agricultural Economics, Obafemi Awolowo University, Ile Ife, Osun State, Nigeria; Disaster Management Training and Education Centre for Africa, University of the Free State, Bloemfontein, South AfricaEffective land allocation is central to enhancing agricultural productivity and ensuring sustainable livelihoods among smallholder farmers, particularly in resource-constrained settings. This study investigates the influence of access to livelihood capital on land allocation decisions among smallholder farmers. A cross-sectional survey was conducted, generating primary data from 240 respondents. The analysis employed a Multivariate Probit Regression model to identify determinants of access to different forms of livelihood capital, complemented by a Quasi-Maximum Likelihood Fractional Response model with a two-step control approach to assess the impact on land allocation decisions. The Multivariate Probit results revealed that access to physical capital was significantly determined by credit availability, association membership, total annual income, and years of education. Access to financial capital was influenced by years of education, association membership, credit access, farm size, and extension services. Natural capital access was shaped by age, marital status, credit availability, and income, while human capital was significantly affected by age, education, association membership, credit access, income, and farming experience. Access to social capital was driven by age, marital status, household size, farm size, and primary occupation. The two-step control model demonstrated that access to aggregated livelihood capital, as well as gender, marital status, farm size, income, extension services, and access to physical, human, and natural capital, significantly influenced land allocation decisions. These findings underscore the critical role of livelihood capital in shaping land use among smallholder farmers.http://www.sciencedirect.com/science/article/pii/S2666188825006045Access to livelihood capitalLand allocationDecisionsSmallholder farmersQuasi-maximum likelihood fractional response with a two-step control model
spellingShingle Ayodeji Kehinde
Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
Sustainable Futures
Access to livelihood capital
Land allocation
Decisions
Smallholder farmers
Quasi-maximum likelihood fractional response with a two-step control model
title Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
title_full Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
title_fullStr Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
title_full_unstemmed Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
title_short Unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in Nigeria
title_sort unlocking access to livelihood capitals and its impact on land allocation decisions among smallholder farmers in nigeria
topic Access to livelihood capital
Land allocation
Decisions
Smallholder farmers
Quasi-maximum likelihood fractional response with a two-step control model
url http://www.sciencedirect.com/science/article/pii/S2666188825006045
work_keys_str_mv AT ayodejikehinde unlockingaccesstolivelihoodcapitalsanditsimpactonlandallocationdecisionsamongsmallholderfarmersinnigeria