ArticleHeliyon2023
Large-scale agricultural land investments and food security in Nigeria.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Holistic IoT and cloud-based telemetry architecture for proactive fire monitoring in smart agriculture.Scientific reports · 2026Article
- Agricultural carbon footprints, renewable energy and sustainable development in Asia.Scientific reports · 2025Article
- Drivers and magnitude of food insecurity among rural households in southern Democratic Republic of Congo.Heliyon · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study examines how large-scale agricultural land investments (LIs) affect household food security in Nigeria. It is one of the few studies in Nigeria that offers new empirical insights into household food security. Precisely, it unravels how LIs affect the livelihood outcomes of households in communities where LIs operate compared to households in communities without such LIs. This study engages the mixed methods of analysis involving quantitative and qualitative techniques. The quantitative data is drawn from the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) utilising the Logistic regression technique. The qualitative aspect of this study involved fieldwork conducted in two distinct Nigerian states: Kwara State, situated in the North-Central region, and Ogun State, located in the South-West region. The qualitative findings further enrich the quantitative findings. It also helped to investigate the nature of jobs households engaged in and also the employment density of the investors' farms which could not be done using the national representative data (LSMS). The results indicate that households in communities without land investments have 0.2% higher likelihood of being more food secure than households in communities with land investments and it is significant at 5%. The qualitative analysis reveals several key insights, including the observation that female headed households in communities with LIs are less likely to be food secure, receive less wages, and spend more time in communities with LIs. Government should put in place policies (for example, compensation policies) that will ensure that land deals are properly monitored and structured to benefit and protect the host communities. If the government fails to properly regulate land deals, rural people will always suffer. Also, they should monitor and control the activities, and the type of crops grown in investment farms so that land investments can bring about the desired benefits such as improvement in household livelihood and enhance food security in the communities where they exist.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.