Urban Farm DB
Research catalogue
Database research record2026·Indonesia

DETERMINANTS OF URBAN FARMING INCOME IN YOGYAKARTA: AN EMPIRICAL ANALYSIS OF OPERATIONAL, BIOTIC STRESS, AND INSTITUTIONAL FACTORS

Hedwig Ajeng Grahani

GeoEco

Urban Farm DB summary

A 2024 systematic survey of 217 urban farming households in Yogyakarta City, Indonesia, used Stata 19 for hypothesis testing and SPSS 27 for descriptive statistics, running a multiple linear regression of net urban farming income against 22 variables covering sociodemographics, farm structure, input management, biotic stress and institutional support (R2 = 0.7448). Eleven variables had a significant effect, with farm size the most favorable factor, followed by financial support, seed subsidies and technical aid; gender and family size also showed positive effects. Crop type correlated negatively with income, and biotic stress — particularly pest type and severity — substantially reduced income, while training and market access were not statistically significant.