Short-Run and Long-Run Impact of Inflation, Unemployment, and Economic Growth Towards Poverty in Indonesia: Ardl Approach

Murjani, Ahmadi

doi:10.14710/jdep.2.1.15-29

Cited by 10 publications

(13 citation statements)

References 4 publications

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“…Tubaka (2019) examining poverty in eastern Indonesia, three of the variables used one of which is unemployment, income distribution and economic growth on poverty by using panel data regression analysis method. Slightly different from the research conducted by Murjani (2019) about poverty two of the three variables are economic growth and unemployment using the Autoregressive Distributive Lag (ARDL) method.…”

Section: Introductionmentioning

confidence: 75%

“…These results provide an overview of the unequal economic growth and the contribution of the high-income group that dominates. By using the ARDL model, Murjani (2019) observing the impact of the macroeconomic variable of unemployment on the poverty level has a significant effect on the level of poverty in the long term. Significantly only economic growth affects poverty in the short term.…”

Section: Unemploymentmentioning

confidence: 99%

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Influence of Income Inequality, Economic Growth, Unemployment on Indonesian Poverty in 1992-2019

Aureli

Juliprijanto

2022

MARGINAL

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Indonesia cannot avoid the issue of poverty because it is a developing nation with a growing population. During the period from 1992 to 2019, the number of poor people in Indonesia fluctuated, fluctuating between increases and decreases each year. Therefore, it is necessary to conduct an analysis in order to determine the factors that contribute to poverty. This study's aims to examine the impact of income inequality, economic growth, and unemployment on poverty in Indonesia between 1992 and 2019. Time series data are utilized. The data utilized for analysis are secondary data from the World Bank and the Central Statistics Agency (hereinafter referred to as BPS). Through the E-views 10 software, the analysis tool employs the Engle Granger-Error Correction Model. The findings indicate that (1) short- and long-term income inequality has a negligible impact on poverty in Indonesia and (2) short- and long-term economic growth has a positive impact on poverty in Indonesia. on the long term, poverty in Indonesia has a significant impact In Indonesia, between 1992 and 2019, unemployment has no significant short-term impact on poverty, but a significant long-term impact.

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Section: Introductionmentioning

confidence: 75%

Section: Unemploymentmentioning

confidence: 99%

Influence of Income Inequality, Economic Growth, Unemployment on Indonesian Poverty in 1992-2019

Aureli

Juliprijanto

2022

MARGINAL

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“…The difference in the magnitude of 𝜙 was highly affected by the sign of 𝛿, as can be seen, if the elasticity of poverty to inequality is positive, the value of 𝜆 tends to be smaller; thus, 𝜙 will also be smaller. In addition, the sign of 𝜆 is negative, which is the net elasticity of poverty to economics growth (as to be proxied by per capita GRDP), inferring that the growth can reduce poverty (as found in many references such as Windra et al (2016), Jonaidi (2012), and Murjani (2019 among others.…”

Section: Pro-poor Growth Index (Ppgi) In South Kalimantanmentioning

confidence: 99%

Pro-poor Curves and Pro-Poor Growth Index: Case Study in South Kalimantan Province

Murjani¹

2022

JDEP

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This paper aims to analyze the nature of the growth in the South Kalimantan province of Indonesia. Different definitions of pro-poor growth, as well as the methods for pro-poor growth classification, have encouraged this paper to use the partial (Growth Incidence Curve and Pro-Poor Growth Curve) and full approaches (Pro-Poor Growth Index). After examining the data spanning from 2010 to 2020, this paper arrives at conclusions. In general, the growth in South Kalimantan is pro-poor but in the period from 2010 to 2016 most benefits of the growth are absorbed by the richer people. In contrast, the growth is pro-poor from the period from 2016 to 2020 and the benefits of the growth are received more by poor people. Also, this paper underlines the importance of detailed examinations for all approaches to avoid a mixed result within the period of examination.

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“…Other studies on the impact of energy subsidy upon the inflation include those conducted by Hossein (2013), Abdelrahim (2014), andHusaini et al (2019). A study conducted by Murjani (2019) captured the existence of short-run and long-run nexus between inflation and poverty in Indonesia.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Energy Subsidy and Price Dynamics In Indonesia

Murjani

2022

IJBS

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The downward trend of the world oil prices in recent years has put profound consideration among countries to reform the energy subsidy policies. Examination of the inflationary impact of the reform has become essential due to possible welfare consequences. This study aims to reveal the impact of energy subsidy on the prices in Indonesia by utilizing the autoregressive distributed lag (ARDL) method to capture short-run dynamics and long-run cointegration between dependent and independent variables in the period 1980-2017. The finding of this research indicated that the impact of the energy subsidy is significant for the short-run and the long-run periods. Regarding the result, the government of Indonesia is advised to reform carefully by applying energy subsidy policy gradually and protecting vulnerable poor households.

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Short-Run and Long-Run Impact of Inflation, Unemployment, and Economic Growth Towards Poverty in Indonesia: Ardl Approach

Cited by 10 publications

References 4 publications

Influence of Income Inequality, Economic Growth, Unemployment on Indonesian Poverty in 1992-2019

Influence of Income Inequality, Economic Growth, Unemployment on Indonesian Poverty in 1992-2019

Pro-poor Curves and Pro-Poor Growth Index: Case Study in South Kalimantan Province

Energy Subsidy and Price Dynamics In Indonesia

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