Implications of Land Ownership Heterogeneity on Household Food Security: A Case Study of Urban Farming in Pietermaritzburg, KwaZulu-Natal Province DOI Creative Commons

Joyce Thamaga-Chitja,

Nthabeleng Tamako, Temitope O. Ojo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 236 - 236

Published: Jan. 23, 2025

Understanding the impact of land ownership on household food security is crucial for achieving sustainable rural and agricultural development in developing countries through improved farm performance. Using a multistage sampling technique to collect data from 156 urban farmers, this study analysed farmers Pietermaritzburg, KwaZulu-Natal Province South Africa. This employed probit model evaluate drivers among while marginal treatment effects was address selection bias attributed observed unobserved characteristics. The analysis status reveals varying degrees insecurity, with majority households experiencing mild insecurity smaller proportion facing moderate insecurity. Our results show that likelihood positively significantly influenced by monthly income, age, membership cooperative, gender distance market have negative significant impacts. empirical also reduces 50%. In conclusion, interplay educational level, size, access water, credit, shapes outcomes. A comprehensive understanding these relationships essential effective policies aimed at enhancing security, particularly regions where critical determinant productivity availability.

Language: Английский

Implications of Land Ownership Heterogeneity on Household Food Security: A Case Study of Urban Farming in Pietermaritzburg, KwaZulu-Natal Province DOI Creative Commons

Joyce Thamaga-Chitja,

Nthabeleng Tamako, Temitope O. Ojo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 236 - 236

Published: Jan. 23, 2025

Understanding the impact of land ownership on household food security is crucial for achieving sustainable rural and agricultural development in developing countries through improved farm performance. Using a multistage sampling technique to collect data from 156 urban farmers, this study analysed farmers Pietermaritzburg, KwaZulu-Natal Province South Africa. This employed probit model evaluate drivers among while marginal treatment effects was address selection bias attributed observed unobserved characteristics. The analysis status reveals varying degrees insecurity, with majority households experiencing mild insecurity smaller proportion facing moderate insecurity. Our results show that likelihood positively significantly influenced by monthly income, age, membership cooperative, gender distance market have negative significant impacts. empirical also reduces 50%. In conclusion, interplay educational level, size, access water, credit, shapes outcomes. A comprehensive understanding these relationships essential effective policies aimed at enhancing security, particularly regions where critical determinant productivity availability.

Language: Английский

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