Reducing Regional Poverty Rate in Central Java

Sriyana, Jaka

doi:10.15294/jejak.v11i1.13272

Cited by 5 publications

(10 citation statements)

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“…Meanwhile, economic growth usually is an important contributor for poverty reduction in developing countries (Cervantes-Godoy & Dewbre, 2010;Cao, Wang & Wang, 2009;Sriyana, 2018), and several other countries have proven that growth significantly influences poverty reduction. Nevertheless, the calculated economic growth variable, in fact, has no significant influence to reduce rural poverty reduction in Indonesia.…”

Section: Resultsmentioning

confidence: 99%

Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

Arham

fadhli

Dai

2020

jejak

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Agriculture is the primary sector in many provinces in Indonesia. In fact, most of the rural communities work in the agricultural sector. Nevertheless, the poverty level in rural areas remains high. Therefore, this study was aimed at investigating the performance of the agricultural sector in reducing the rural poverty level in Indonesia, and to investigate factors that contribute as a determinant in reducing rural poverty level in Indonesia. This study was significant, considering that the result was to contribute to government policy evaluation in the agricultural sector, especially in reducing poverty in rural areas. This study used quantitative analysis through multiple regressions with data panel from 2014 to 2017 from 33 provinces in Indonesia. This study revealed that the increase of agricultural sector share and the widening of the income distribution had caused an increase in poor people in a rural area. This finding also revealed that the income distribution gap was a determinant to the severity of rural poverty. The growth in the agricultural sector to contribute toward the economy could reduce rural poverty level in Indonesia. Meanwhile, agricultural financing, economic growth, inflation, and the farmer exchange rate had not significantly contributed to reducing the poverty level.

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Section: Resultsmentioning

confidence: 99%

Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

Arham

fadhli

Dai

2020

jejak

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“…poverty in Indonesia before and after the financial crisis in Asia by (Suryahadi, Hadiwidjaja, & Sumarto, 2012) showed a downward trend in poverty reduction after the crisis. Development of another study conducted by (Dartanto, 2013) with a dynamic model in two time periods 2005 and 2007, in addition to another study by (De Silva & Sumarto, 2015) in districts and cities in Indonesia with a dynamic model for regional poverty analysis, and (Sriyana, 2018) with a panel model in Central Java on regional poverty reduction. The above study is a study related to regional poverty carried out in Indonesia, which shows that the formation of regional poverty is the economic sector and related to the non-economic sector but does not bring up spatial aspects in its analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The initial study of regional poverty analysis in Indonesia was analyzed by (De Silva & Sumarto, 2015) for regions in Indonesia but the analysis did not carry out spatial analysis in its study. Another study conducted by (Sriyana, 2018) specifically analyzed the conditions of poverty in Central Java but did not perform spatial analysis on the analysis model. A follow-up study conducted by (Nashwari, Rustiadi, Siregar, & Juanda, 2017) in Indonesia for the case in Jambi built a spatial model of poverty but used a Geographically Weighted Regression approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Analysis of Regional Poverty in Central Java Indonesia

Anwar

2022

JDEP

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This study analyzes the effect of the spatial interaction of poverty in districts/cities in Central Java for three periods, 2010, 2015, and 2019. The method used in this research is a spatial analysis using Global Moran's I Statistics, Local Indicator of Spatial Association (LISA), and spatial regression with Spatial Autoregressive Model (SAR). Spatial distribution analysis concluded that the high concentration of poverty for three periods occurred in the southern part of Central Java, accompanied by a high concentration of unemployment and population. The results of non-spatial regression analysis concluded that there was a negative effect of economic growth on poverty, a positive influence of population on poverty in Central Java for the three study periods, and a negative effect of education on poverty only in 2019. The estimation model uses SAR as the best model chosen to explain poverty conditions in Central Java, and it shows that poverty in neighboring areas has a positive value, so it can be concluded that there is a spatial effect of poverty in Central Java. The spatial influence of poverty implies that the government carries out an integrated poverty alleviation program to produce policies that have local impacts in one area but must have a spatial impact, which means reducing poverty between regions.

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“…This program is mainly aimed to overcome supply side and demand side barriers to education by subsidized students' indirect educational expenditure (for example transportation costs). Overall, it is important to improve education level for poor people (Sriyana, 2018).…”

Section: Introductionmentioning

confidence: 99%

Government’s Cash Transfers And School Dropout In Rural Areas

Setyadharma

2018

jejak

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Indonesia is committed to education but the Government of Indonesia still struggle with dropout problem at upper secondary school level, especially students from rural areas who dropping out of school before graduating. The dropout events can be explained through the demand for education. In 2008 Government of Indonesia introduced Bantuan Siswa Miskin program, the Cash Transfers for Poor Students (recently is known as Kartu Indonesia Pintar), in order to reduce numbers of dropouts. The program is mainly to cover students’ indirect costs and is implicitly used to increase students’ demand for education. The objective of this study is to get better understanding on the impact of government’s cash transfers on rural students’ dropout at upper secondary schools in Central Java Province. Primary data was collected from rural areas in all regencies and cities. The likelihood to drop out is estimated using Probit regressions. There are two main findings in this study. First, the result shows that higher education expenditure is significantly increasing the probability of rural students to drop out. Second, it is evidence that government’s cash transfers significantly diminish the rural students’ likelihood of dropping out. Based on the findings, it is suggested the Government of Indonesia must reduce education costs and the government also should expand the number of cash transfers for poor rural students.

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Reducing Regional Poverty Rate in Central Java

Cited by 5 publications

References 10 publications

Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

Spatial Analysis of Regional Poverty in Central Java Indonesia

Government’s Cash Transfers And School Dropout In Rural Areas

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