Farm Development and Rural Poverty Comparison among Villages in Kulon Progo Regency of Yogyakarta Special Province of Indonesia
Poverty has always been a concern in Indonesia. More than half of Indonesia's 235 million people are poor. The district of Kulon Progo is the second lowest district in Yogyakarta province both in economic growth and welfare level, so less developed among four others district. This research’s aim is to address factors influence the farm development in poverty alleviation and rural development in Kulon Progo Regency of Yogyakarta Special Province of Indonesia. Statistical data were retrieved from Indonesia’s Central Board of Statistic in range of 2003 through 2006. Primary data comprised of farm development by the government, rural poverty in each village, farmer experience in poverty allevation were derived by conducting direct audience with the government officials, head of villages, field farm officials, farmer group units, and field observation. Using purposive random sampling, this research divides Kulon Progo Regency into north zone, middle zone, and south zone; according to the lowest and highest poverty level of each village. Regression model is developed with classical normal linier regression model to reveal each variable share on rural poverty. Simultaneously, this linear regression model explains 70% of rural poverty caused by all variables. Numbers of farmer positively affects numbers of poor rural inhabitants, where the 1% increasing of numbers of farmer will raise 0.922% numbers of poor rural inhabitants. Irrigated land has a negative impact to rural poverty, where the increasing level of 1% irrigated land will eradicate 0.101% numbers of poor rural inhabitants. Numbers of household member is not significant to influence poor rural inhabitants. In contrary of common belief, the significant role of land ownership has a positive impact to influence rural poverty, where the 1% increasing size of land ownership will raise 0.177% poor rural inhabitants. Regression model results land ownership positively affects rural poverty. Taking interview with some key persons in the six villages compared to statistical data explains that poverty rate is affected by dry land productivity rather than wet land productivity. Based on geographic information system analysis, there are some run-off of water bodies in the north zone. These potential flows should be able to support farm development in the dry land.
|Date of creation:||26 Jun 2008|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:9963. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.