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All Journal International Journal of Economics Development Research (IJEDR)
Galuh Syahbana Indraprahasta
Institut Pertanian Bogor, Indonesia
Economics, Econometrics & Finance Social Sciences

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Regional Typology and Spatial Dependent Driving Factors of Poverty in Gowa Regency, Indonesia Ahmad Syaifullah; Andrea Emma Pravitasari; Galuh Syahbana Indraprahasta
International Journal of Economics Development Research (IJEDR) Vol. 4 No. 1 (2023): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v4i2.2037

Abstract

One notable societal challenge that urban and regional development has to deal with is poverty. In this paper, we focus on rural poverty by zooming in on Gowa Regency, Indonesia. We argue the importance of considering spatial aspect in analyzing poverty. By considering this aspect, it is expected that poverty reduction programs can be tailored to the specific needs of each location. As such, the purpose of this research is to better understand the spatial dimension of rural poverty in Gowa Regency by performing three spatial analyses. This was done at first by evaluating the characteristics of each region. The next step is identifying the distribution and spatial pattern of poverty to specifically map the pattern of poverty in rural areas of Gowa Regency. Next is identifying the diverse spatial factors that influence poverty in rural areas of Gowa Regency. The analyses were performed by using cluster analysis, Spatial Autocorrelation Analysis (Global Moran Index and Local Indicators of Spatial Autocorrelation), and Geographically Weighted Regression (GWR) accordingly. The results of the study show that rural areas in Gowa Regency can be divided into several typologies. Furthermore, there is an indication that the spatial distribution of rural poverty in Gowa Regency tends to cluster. Lastly, each significant variable has different effect on rural poverty in Gowa Regency. Therefore, this study provides refined insights into possible different poverty reduction interventions for each village.
The Spatial Pattern of Poverty and It's Alleviation Strategy through The Village Fund Policy Sutresno Sutresno; Ernan Rustiadi; Galuh Syahbana Indraprahasta
International Journal of Economics Development Research (IJEDR) Vol. 4 No. 1 (2023): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v4i2.2267

Abstract

The aims of this study are: (1) To analyze the spatial distribution of Poverty in Brebes Regency in 2021. (2) To analyze the effect of implementing village funds and other factors (MSMEs) on the poverty rate in Brebes Regency from a spatial aspect in 2021. Locations in This research located in Brebes Regency, Central Java Province. The number of villages observed was 298 villages. This research is a quantitate research using secondary data. The methods used to achieve the objectives of this study are: (1) Moran and LISA analysis (Moran Index and LISA Index) to analyze the spatial pattern of Poverty; (2) weighted spatial regression analysis (GWR) to determine the effect of variables thought to influence Poverty. The results of this research indicated by the Moran Index value of 0.509409 which indicates a positive autocorrelation or clustering (cluster). This value indicates that adjacent villages have relatively the same characteristics. The Lisa test illustrates the spatial pattern of Poverty that is clustered into four poverty criteria, namely 40 villages with high-high criteria, 69 villages with low-low criteria. A total of 6 villages are low-high and 3 are high-low criteria. Based on the results of the GWR analysis, it was also found that all the variables tested, namely spending on village funds and the number of MSMEs in each village, reduced in reducing Pove significantly reduced several villages.
Co-Authors Ahmad Syaifullah Andrea Emma Pravitasari, Andrea Emma Ernan Rustiadi Sutresno Sutresno