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PENGARUH UPAH MINIMUM PROVINSI (UMP), PENANAMAN MODAL ASING (PMA), DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB), TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) DI IINDONESIA (STUDI KASUS 11 PROVINSI IPM LOWER MEDIUM) Nailufar, Fanny; Juliansyah, Hijri; Murtala, Murtala; Risna, Risna
Jurnal Ekonomi Regional Unimal Vol. 7 No. 1 (2024): Jurnal Ekonomi Regional Unimal
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jeru.v7i1.17760

Abstract

The purpose of this study was to analyse the effect of the Provincial Minimum Wage (UMP), Foreign Investment (PMA), and Gross Regional Domestic Product (PDRB) on the Human Development Index (IPM) in Indonesia (Case Study 11 Provinces IPM Lower Medium). This study uses secondary data for the period 2011 - 2021 obtained from the Central Statistics Agency (BPS). Data were analyzed using a panel data regression model. The results show that the variable  Provincial Minimum Wage (UMP) has a positive and significant effect on the Human Development Index (IPM) in Indonesia, Foreign Investment (PMA) has a negative and significant effect on the Human Development Index (IPM) in Indonesia, and Gross Regional Domestic Product (PDRB) has a positive and significant effect on the Human Development Index (IPM) in Indonesia.
ANTARA HUTAN, INVESTASI, DAN KEMISKINAN: DINAMIKA EMISI KARBON DI INDONESIA Sari, Cut Putri Mellita; Trisniarti, Noviami; Nailufar, Fanny
Jurnal Ekonomi Pertanian Unimal Vol. 7 No. 1 (2024): JURNAL EKONOMI PERTANIAN UNIMAL
Publisher : LPPM Universitas Malikussaleh - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jepu.v7i1.17708

Abstract

The study assessed the impact of the proportion of forests, Inland Capital Growth (INC), and the number of poor people on carbon emissions in Indonesia. As a country with extensive tropical forests, Indonesia faces the challenge ofining forest sustainability amid the pressure of economic development. Industrial and infrastructure investments often lead to deforestation, increasing carbon emissions, while poor communities that rely on forests carry out environmentally damaging practices. This research filled the gaps in previous studies by exploring how variations in forest proportions, the impact of GDP in various sectors, and the relationship of poverty with land use affect carbon emissions. The study also examines the interactions between the three variables. The results are expected to provide a comprehensive insight into Indonesia's policy strategy for reducing carbon emissions. The double linear regression analysis method tests the influence between these variables. Data obtained from Indonesian Statistics for the period 2000-2022. The analysis results show that the proportion of forests has a negative and significant influence on carbon emissions, which means that increasing forest size can effectively reduce carbon emissions. Moreover, the PMDN has also been found to have a negative, significant impact on carbon emissions, suggesting that domestic investment plays a role in reducing emissions. On the contrary, the number of poor populations has no significant influence on carbon emissions. These findings indicate that policies to increase the proportion of forests and boost the MDGs can be effective strategies to reduce carbon emissions while reducing the number of poor populations does not directly affect carbon emissions.
THE EFFECT OF POPULATION SIZE, EDUCATION LEVEL, AND ECONOMIC GROWTH ON POVERTY IN DISTRICT/CITIES IN ACEH PROVINCE Hawadayanti, Nur; Ratna, Ratna; Nailufar, Fanny; Juanda, Reza
Journal of Malikussaleh Public Economics Vol. 8 No. 1 (2025): JOURNAL OF MALIKUSSALEH PUBLIC ECONOMICS
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jompe.v8i1.22164

Abstract

This study aims to examine the influence of population size, education level, and economic growth on poverty in regencies/municipalities within the Aceh Province. The research employs a combination of cross-sectional and time series data from 23 regencies/municipalities in Aceh Province during the period 2019–2023. Data analysis was conducted using panel data regression with the assistance of Eviews software. Based on the analysis, the selected model is the Random Effects Model (REM), which indicates that, partially, both population size and education level have a negative and significant effect on poverty in the regencies/municipalities of Aceh Province. In contrast, economic growth has a positive but statistically insignificant effect. Simultaneously, population size, education level, and economic growth are found to have a positive and significant effect on poverty in the regencies/municipalities of Aceh Province.
THE ROLE OF EXPORT POLICIES AND ENVIRONMENTAL CONSERVATION IN POVERTY REDUCTION IN INDONESIA WITHIN THE FRAMEWORK OF THE SDGS Sari, Cut Putri Mellita; Nailufar, Fanny; Trisniarti, Noviami; Yunita, Nur Afni
Journal of Malikussaleh Public Economics Vol. 8 No. 1 (2025): JOURNAL OF MALIKUSSALEH PUBLIC ECONOMICS
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jompe.v8i1.22322

Abstract

This study analyzes the role of export policies and environmental conservation in poverty reduction in Indonesia within the framework of the Sustainable Development Goals (SDGs). The main focus is directed towards palm oil exports as a proxy for export policy and the area of reforestation as a proxy for environmental conservation efforts, with the number of poor people as the dependent variable. This study uses time series data from 2000–2023 and a linear-log regression approach. The research finds that an increase in palm oil export volume significantly reduces the number of poor people, affirming the role of the strategic export sector in supporting overall economic growth. On the contrary, reforestation shows a positive relationship with the number of poor people, indicating that conservation policies have not yet fully responded to the social and community welfare dimensions. The R² test result of 82.12% indicates that the model has a strong explanatory power. This research recommends a synergy between economic and environmental policies in an integrated manner so that poverty alleviation efforts align with ecosystem protection and local community empowerment.