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Jurnal

Jurnal Ekonomi & Bisnis Indonesia

Keyword

Poverty, underdeveloped areas, spatial, SAE, GWR

Pengarang

  1. Lilis Nurul Husna
  2. Sarpono

    Subject

    1. ECONOMIC
    2. BUSINESS

      [Abstrak]



      Indonesia’s poverty
      alleviation programs are implemented by two approaches target, those are the
      pockets (areas) of poverty and the poor households. Related with poverty
      alleviation programs targeting poor areas, in the Medium Term Development Plan
      (RPJM) 2010-2014, the government through the Development Backward Areas
      Ministry (KPDT) has determined the backward or underdeveloped regions at the
      level of district/city. There is no district/city in the province of Yogyakarta
      (DIY) are classified as underdeveloped region, but in 2011 the poverty rate in
      DIY is the highest compared with other provinces in Java and Bali. Therefore,
      the classifications of underdeveloped areas are not optimal if applicable only
      within the district, but it needs to be seen in the smaller scope, such as
      village. The main purpose of this study is to determine the underdeveloped
      villages in DIY in 2011. The average per capita household expenditure is a key
      indicator in measuring poverty. Susenas data can only be used to estimate the
      average per capita household expenditure to the level of district. Therefore,
      to obtain the estimated value in village level, this study used Small Area
      Estimation approach by combining census data (Podes 2011) and survey data
      (Susenas 2011). This study used Geographically Weighted Regression (GWR) with
      Adaptive Gaussian Kernel Bandwidth weighting function. GWR is a linear regression model that produces the local parameters in all
      locations. GWR parameters estimated are performed by Weighted Least Squares
      (WLS) method which innolving spatial aspects. The results found that there were
      13 underdeveloped villages in DIY. Furthermore, the Local Indicator of Spatial
      Association (LISA) is used to look at the tendency of cluster in underdeveloped
      villages. Then, maps are used to compare charac-teristic of underdeveloped
      villages among others.



       






      Periode

      Vol 28, Nomor 01, Tahun 2013

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