Poverty Analysis and Inequality Distribution in Yogyakarta Special Region

Dewi, Yulian Anshita; Rachmawatie, Dessy

doi:10.18196/jerss.040119

Cited by 4 publications

(4 citation statements)

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“…Physically, the area develops into densely populated settlements, while non-physical changes lead to individualism in society. The location of border areas far from the center of government can escape the government's attention, although development in all sectors, including the economy and health, aims to improve people's welfare [17].…”

Section: The Distribution Of Dengue Fever In Bantul Regency In 2014-2017mentioning

confidence: 99%

Dengue hemorrhagic fever prediction in coastal area using geographically weighted regression

Kesetyaningsih,

Kusbaryanto,

Widayani

2024

IJPHS

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Dengue hemorrhagic fever (DHF) is still a health problem globally, including in Indonesia. Geographical and climatic conditions in coastal areas are different from other areas, which may impact differences in environmental risk factors for dengue. This study aims to create a prediction model for the incidence of DHF in coastal areas. The research was conducted in Bantul Regency, Indonesia, involving data from 2015-2019. Dengue incidence data were collected from the health office. Climatic data were from climatology station. Data on altitude and shoreline distance were obtained by geographic information system (GIS) processing. Population density and wide settlement area are obtained from the Bureau of Statistics. The geographically weighted regression (GWR) analysis was carried out using GWR4. The results showed that GWR with a weighting of Fixed Bi-Square Kernel obtained an R2 value of 0.7768, better than the global model (R2 0.5254). It indicates that DHF (Y) in Bantul Regency is 77.68% determined by population density (X1), altitude (X2), settlement area (X3), shoreline distance (X4) and rainfall (X5) and the remaining 22.32% are influenced by other variables which are not investigated. Geographically, the predictor variables explain the DHF incidence with a strong category in the central region, and weak in coastal area.

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Section: The Distribution Of Dengue Fever In Bantul Regency In 2014-2017mentioning

confidence: 99%

Dengue hemorrhagic fever prediction in coastal area using geographically weighted regression

Kesetyaningsih,

Kusbaryanto,

Widayani

2024

IJPHS

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“…Thus, the purpose of this study is to examine the relationship between income inequality, economic growth, and poverty in Yogyakarta Province using the PGI Triangle Model. Prior studies related to income inequality in Yogyakarta Province analyzed poverty on income inequality (Dewi & Rachmawatie, 2020) or growth on income inequality separately (Suryani & Woyanti). These earlier investigations examined the relationships between the variables in isolation, which revealed a one-way link.…”

Section: Introductionmentioning

confidence: 99%

Do Poverty and Economic Growth Matter for Income Inequality Reduction in Yogyakarta Province?

Maurilla

Suriani

Nasir

2023

JESP

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It has been observed that income inequality is an economic element that may impede a nation's economic development. In general, Indonesia's Gini ratio has remained low for nearly a decade, although one region, Yogyakarta Province, unexpectedly exceeds the national average. The provincial government of Yogyakarta must focus more on reducing income inequality. Therefore, this study employs the Poverty-Growth-Inequality Triangle model approach to investigate the complexity of income inequality in Yogyakarta Province. The data is collected from five cities in Yogyakarta Province from 2010 to 2021. For the quantitative study, a Simultaneous Equation Model analysis with three iterations of least squares is performed. The results indicate that there is no causal relationship between income inequality and economic growth or poverty. According to the model of income inequality, education and the district minimum wage have a significant impact on income inequality. Therefore, local governments are advocated to evaluate policies aimed at reducing income inequality through education system reform, equity in district minimum wage and economic growth, and efficiency in the utilization of income inequality-related funds.

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“…The topic of poverty management is the first point to be achieved in the concept of sustainable development (Lélé, 1991). Poverty is multidimensional problem that welfare low-income families, low education, and limited acces to health facilities (Dewi & Rachmawatie, 2020;Firdauzi & Dewi, 2022). Poverty is seen as a serious problem and is widely experienced by all countries, so the goal of poverty alleviation is put as the first Int J on Social Sci, Econ & Art p-ISSN 2088-5342 e-ISSN 2776 Typology analysis and correlation between poverty, health, and education in central kalimantan (Rini Hastuti, et al) goal of the SDGs (Harianja et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Typology analysis and correlation between poverty, health, and education in central kalimantan

Hastuti

Hukom

2023

Int. J. on Social Sci, Econ and Art

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The poverty rate in Central Kalimantan in the last period has shown an increase in contrast to education and health data which show a positive trend. This is far from the Regional Action Plan that has been designed, so it is necessary to carry out an analysis to determine the relationship between several research variants. This study aims to analyze the correlation and mapping of the poverty quadrant region with district/city levels of education and health in the Province of Central Kalimantan in 2018 and 2021. This research is a type of quantitative research using secondary data which is analyzed through Cartesian diagrams and Pearson correlations. The population and research samples cover 14 districts/cities in the Province of Central Kalimantan. The results showed that there were four areas of poverty, education and health quadrants. A comparison of the mapping of the quadrant areas between poverty and education in 2018 and 2021 shows no difference, while the quadrant areas of poverty and health in 2018 and 2021 show a shift. The Pearson correlation test conducted on the variables of poverty, education, and health shows a negative relationship but low correlation or in other words there is no strong influence between variables. The implication of the findings of this study is that there is a need for policies from the government as policy makers to create educational programs that tend to increase skills. Not only that, special attention is needed to improve health quality in Central Kalimantan Province so that it can become a poverty alleviation tool.

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Poverty Analysis and Inequality Distribution in Yogyakarta Special Region

Cited by 4 publications

References 0 publications

Dengue hemorrhagic fever prediction in coastal area using geographically weighted regression

Dengue hemorrhagic fever prediction in coastal area using geographically weighted regression

Do Poverty and Economic Growth Matter for Income Inequality Reduction in Yogyakarta Province?

Typology analysis and correlation between poverty, health, and education in central kalimantan

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