Which Households Raise Livestock in Urban and Peri-Urban Areas of Eight Developing Asian Countries?

Sayaka Ushimaru, Rintaro Iwata, Eka Rastiyanto Amrullah, Arini W. Utami and Akira Ishida ()
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Sayaka Ushimaru: Faculty of Agriculture, Kobe University, Kobe 657-8501, Japan
Rintaro Iwata: Graduate School of Agricultural Science, Kobe University, Kobe 657-8501, Japan
Eka Rastiyanto Amrullah: Agricultural Instruments Standardization Agency, Ministry of Agriculture, Jakarta 12550, Indonesia
Arini W. Utami: Faculty of Agriculture, Gadjah Mada University, Yogyakarta 55281, Indonesia
Akira Ishida: Graduate School of Agricultural Science, Kobe University, Kobe 657-8501, Japan

Agriculture, 2024, vol. 14, issue 3, 1-14

Abstract: In many developing countries, ensuring a stable and affordable supply of safe and nutritious food for urban dwellers, especially impoverished households, has become an urgent policy issue due to growing urban populations. Since urban and peri-urban agriculture (UPA) has emerged as a potential solution, research interest in UPA has increased. However, most studies have been conducted in specific African towns, and analyses in Asian countries are scarce. In addition, further research must be performed on urban and peri-urban livestock farming (UPLF), which may provide animal-based protein to the urban population. Therefore, this study aims to clarify who raises livestock in the urban and peri-urban areas of eight developing Asian countries using raw data from the Demographic and Health Survey (DHS). The aggregation results reveal that at least 10% of households keep livestock, with more than 30% of households in four of the eight Asian countries practicing UPLF. Poultry is the most common type of livestock, and the number of animals per household is usually limited. Logistic regression analysis reveals that poorer families are more likely to raise livestock, suggesting UPLF can enhance food and nutritional security for low-income households.

Keywords: urban and peri-urban livestock; Bangladesh; Cambodia; India; Myanmar; Nepal; Pakistan; Philippines; East Timor; Demographic and Health Survey (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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