Livelihood AssetsPeternak Sapi Perah di Jawa Timur
(Studi pada Empat Wilayah Penampungan Susu Segar)
Analysis the Impacts
of Application of Milk Dictrict Model Nestle for Livelihood Assets
Accessibilities of Dairy Farmers in the Province of East Java
B.A. Nugroho dan P.S. Winarto
Fakultas PeternakanUniversitas Brawijaya, Malang
Jl. Veteran Malang, 65145. Jawa Timur
e-mail: bamalnug@yahoo.com
ABSTRACT
East
Java province is one of the development centre of dairy farming in
Indonesia. In 2008, dairy farming activities in East Java constitue is
about 88,148
dairy farmers, 29 dairy cooperatives, 130,000 dairy cows, and produces
600,000 litres freshmilk per day, from that amount 410,000 litres
marketed to PT. Nestle. This study was conducted to analysis macro
impact of milk district model Nestle on 1) labor absorption, natural
resources conservation, and regional economic growth and 2) on capital
assets accessibility of dairy farmers. Analysis methods that we used in
this study were 1) field survey using questionnaire; 2) collecting
secondary data; 3) in depth interview using checklist; and 4) measuring
accesssibility on livelihood assets (human, natural, physics, social and
financial accesss). Areas of study located on three regencies in East Java Province:
Malang, Blitar and Kediri, 97 smallscale dairy farmers were surveyed.
The impacts of milk district model on livelihood assets accessibilities
remain significants especially on financial and social capitals. This
means that dairy farmers accesssibilities on financial sources were
improved because it provide regular source of income, something the
dairy farmers would not receive from their seasonal crops. Accessibility
level of social capital were improved too, this means that smallscale
dairy farming activities capables to create many collective activities
on the rural communities based on dairy farming issues through variety
efforts on Artificial Insemination (AI), feeding process, freshmilk
handling, freshmilk collecting, forages management, breeding, animal
healthcares, etc. Accessibility
level on human, physical and natural capitals remainds lower than
social and financial capitals because there are a lack of human capital
(knowledge, skills, creativity and adaptive strategy); a lack of
physical capital (rural infrastructures); and natural capital (clean
water availability).
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