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Analisis Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia di Provinsi Bali Dewi, Yovita Valentina; Meydianawathi, Luh Gede
Business and Investment Review Vol. 3 No. 6 (2025)
Publisher : CV. Lenggogeni Data Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61292/birev.205

Abstract

This study aims to analyze the effect of economic growth, average length of schooling, and sanitation on the Human Development Index (HDI) in Bali Province during the period 2014–2023. The HDI is a composite indicator that reflects human development achievements in the dimensions of education, health, and decent living standards. This study employs a quantitative approach using panel data regression and the Random Effect Model (REM), selected based on the results of the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that, simultaneously, all three independent variables significantly influence the HDI. Partially, average years of schooling and sanitation have a positive and significant impact on the HDI, while economic growth has a positive but insignificant effect. These findings suggest that education and environmental health play a dominant role in improving the quality of life for Bali’s population, while economic growth has not yet been fully inclusive. This study reinforces the Human Capital theory and emphasizes the importance of development policies focused on equitable access to education and sanitation. The practical implications of this study are the need for more targeted policy interventions to improve the HDI evenly across all districts/cities in Bali Province. Abstrak Penelitian ini bertujuan untuk menganalisis pengaruh pertumbuhan ekonomi, rata-rata lama sekolah, dan sanitasi terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Bali selama periode 2014–2023. IPM merupakan indikator komposit yang mencerminkan capaian pembangunan manusia dalam dimensi pendidikan, kesehatan, dan standar hidup layak. Penelitian ini menggunakan pendekatan kuantitatif dengan metode regresi data panel dan model Random Effect Model (REM), yang dipilih berdasarkan hasil uji Chow, Hausman, dan Lagrange Multiplier. Hasil penelitian menunjukkan bahwa secara simultan, ketiga variabel independen berpengaruh signifikan terhadap IPM. Secara parsial, rata-rata lama sekolah dan sanitasi berpengaruh positif dan signifikan terhadap IPM, sedangkan pertumbuhan ekonomi berpengaruh positif namun tidak signifikan. Temuan ini mengindikasikan bahwa pendidikan dan kesehatan lingkungan memiliki peran dominan dalam peningkatan kualitas hidup masyarakat Bali, sementara pertumbuhan ekonomi belum sepenuhnya inklusif. Penelitian ini memperkuat teori Human Capital dan menekankan pentingnya kebijakan pembangunan yang berfokus pada pemerataan akses pendidikan dan sanitasi. Implikasi praktis dari penelitian ini adalah perlunya intervensi kebijakan yang lebih terarah untuk meningkatkan IPM secara merata di seluruh kabupaten/kota di Provinsi Bali. Kata kunci: Indeks Pembangunan Manusia, Pertumbuhan Ekonomi, Rata-rata Lama Sekolah, Sanitasi, Regresi Data Panel
Analisis Determinan Beberapa Variabel Terhadap Gross National Income Per Kapita Indonesia Tahun 2003-2022 Pramana, I Made Bayu; Meydianawathi, Luh Gede
Jurnal Sosial Teknologi Vol. 5 No. 8 (2025): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v5i8.32383

Abstract

Economic growth is the main indicator of a country's ability to produce goods and services, measured by the increase in Gross Domestic Product (GDP) and Gross National Income (GNI) in a certain period. GDP reflects the value of domestic production of goods and services, while GNI measures the total income received by the population, including from abroad. Both indicators are important for assessing people's welfare, where GNI per capita is often used to compare prosperity between countries. Indonesia is projected to have great potential for economic growth and could even become the world's fourth largest economy by 2045, supported by a demographic bonus that increases the number of productive-age population. However, to achieve this potential, Indonesia must overcome the middle-income trap and optimally utilize the demographic advantage by improving the quality of human resources and appropriate economic policies. This study analyzes the effect of Foreign Direct Investment (FDI), Human Capital Index (HCI), Government Effectiveness Index, and Labor Force Participation Rate (TPAK) on GNI per capita in Indonesia. The study uses a quantitative descriptive method with the Ordinary Least Squares (OLS) approach to determine the effect of independent variables simultaneously and partially on the dependent variable. The results of the study show that FDI and HCI have a significant effect on GNI per capita, while government effectiveness and labor force participation have no significant effect. This model explains 94.5% of the variation in GNI per capita through the variables studied. The implications of this study emphasize the importance of increasing foreign investment and the quality of human resources, as well as the need for government policies that focus on investment incentives, strengthening education, and job training to encourage sustainable economic growth.