Reducing Urban Poverty within the Spatial Development (Re-directing Commercial Land use and Accessibility on Bengkulu Municipal)

Harmes Harmes, Bambang Juanda, Ernan Rustiadi, Baba Barus

Abstract


Land use, accessibility and poverty are regional and urban development issues which when addressed fragmented in policy and regulation able to negate each other. Land and accessibility can be used to reduce poverty through redistribution of its using in regional or urban spatial plan. Both of them is a permanent input for development. This paper aims to explain the spatial varying relationship among the commercial land use and accessibility on urban poverty in each unit of observation. Geographically Weighted Regression (GWR) is a suitable analytical framework in which spatial dependency is taken into account. The model parameter estimate are able to reveal the influence of the independent to the dependent variable at each location of observation, this model known as local regression. The result indicates that the relationship between commercial land use and accessibility on poverty are varied, across the point of estimation. Some location  has positive relationship, that means increasing poverty. The negative local regression coeficient means reduce poverty. Policy implementation on regional and urban spatial plan, need to be aware this contradiction. Re-directing commercial land use and accessibility in spatial planning are urgently to reduce poverty and does not induce poverty permanent.


Keywords


commercial land use; accessibility; varying spatial relationship; poverty reduction.

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References


https://www.bps.go.id/subject/23/kemiskinan-dan-ketimpangan.html [Mei. 6, 2015]

https://www.pu.go.id/guntingan/6/penataan-ruang/index [Apr. 17, 2015]

Mooya M and Cloete CE. “Land Tenure and urban poverty alleviation: Theory, Evidence and New Direction”, in FIG Working Week, 2008, pp.1-16.

Kuncoro M. Ekonomi Pembangunan, Teori, Masalah dan Kebijakan. Yogyakarta: Unit penerbitan dan percetakan Akademi Manajemen Perusahaan YKPN, 1997, pp. 67-68.

C.R. Laderchi, Ruhi Saith & Frances Stewart. Does it Matter that we do not Agree on the Definition of Poverty? A Comparison of Four Approaches. Oxford Development Studies, Vol. 31, pp. 243-274. Sep. 2003.

Tim Nasional Percepatan Penanggulangan Kemiskinan. Basis Data Terpadu (BDT) untuk Program Perlindungan Sosial. Jakarta: TNP2K. 2012.

Syafitri UD, Bagus S and Salamatuttanzil. “Pengujian Autokorelasi terhadap Sisaan Model Spatial Logistik”. Seminar Nasional Matematika dan Pendidikan Matematika Universitas Negeri Yogyakarta, 2008, pp. 264-268.

Vasiliev, IR. “Visualization of Spatial Dependence: An Elementary View of Spatial Autocorrelation”. Di in Practical Hand Book of Spatial Statistics,. Arlinghaus SL, Griffith DA, Arlinghaus DC, Drake WD and Nystuen JD, Ed. Florida: CRC Press, 1995, pp. 17-30.

Fotheringham A.S, Brunsdon C and Charlton M. Geographically Weighted Regression: the analysis of spatially varying relationships, Chichester: Wiley, 2002.

Bambang J. Ekonometrika: Pemodelan dan Pendugaan, Bogor: Penerbit IPB Press, 2009.


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