Suchergebnisse

Controlling is always needed in every public policies and programs, through both of monitoring and evaluation on the process, the conformability between its process and the purposes, outputs, and impacts. The aim of this research was to monitor and to evaluate the overcoming feminism on poverty program during 2018 in some cities in East Java Province, used descriptive-qualitative method. The data was collected by visiting and surveying the sites. Research locations were determined by proportional sampling method considering kinds of business process run by targeted households in each village. Two hundred and three households from twenty villages and seven cities were monitored and evaluated, which were represented about ten percent of the population. The research showed that the success rate of the program was 96.50%. as measured by the accuracy of the target (100%), the accuracy of receiving the amount of aid and its use (100%) as well as aspects of the benefit of the aid (89.49%). From the aid provided, 87.19% led to self-motivation in doing business, increasing in income, capital, and assets were 84.24%, 84.24%, 87.68% as well as environmental supporting was 88.67%. There was no similar activity from the regional government in term of equal distribution of the aid and program sustainability. The family supporting from the households ensure the success of this program.

AbstractDairy farmers in developing countries face numerous challenges, including price instability, limited credit access, outdated technology adoption, market barriers, and poverty. Cooperatives offer promising solutions to farmers' problems and help them enhance their agricultural sustainability. Although the impact of cooperative membership has been widely investigated, little evidence is found in dairy farming households. This study estimates the impact of cooperative membership on dairy farmers' household incomes, net returns, and profits from dairy products (processed and fresh milk). The cross‐sectional data were collected from 300 dairy farmers in East Java, Indonesia. Inverse probability weighting with regression adjustment (IPWRA) and two‐stage predictor substitution (2SPS) were used in the analysis to address the selection bias in the estimation. The findings are corroborated by a robustness check using propensity score matching. The results show that dairy farmers' decisions to join a cooperative are positively and significantly influenced by farming experience, transportation ownership, number of cattle owned, and involvement in social activities and are negatively influenced by age. Cooperative membership significantly improves farmers' welfare by increasing their household incomes, net returns, and profits from fresh milk products. However, the membership reduces profits from processed milk products. These findings suggest that the government should encourage farmers to participate actively in cooperatives.