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Pengaruh ketimpangan pendapatan, pengeluaran perkapita, angka harapan hidup dan upah minimum terhadap kedalaman kemiskinan di Provinsi Jambi Sandi Arianugrah; Yulmardi; Parmadi
Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah Vol. 1 No. 5 (2025): Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah (Bulan November 2025)
Publisher : PT. Saha Kreasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64788/ar-rasyid.v1i5.85

Abstract

This study aims to analyze the influence of Income Inequality, Per Capita Expenditure, Life Expectancy, and Minimum Wage on Poverty Depth in Jambi Province using time series data and a multiple linear regression method processed through EViews 12. The research was conducted to understand the key factors that shape the dynamics of poverty depth in the region, thereby providing a basis for formulating more targeted policy interventions. The results indicate that among the four variables examined, only Life Expectancy has a significant effect in reducing poverty depth. This finding suggests that improvements in public health quality and increases in life expectancy contribute meaningfully to enhancing the welfare of the population. Meanwhile, Income Inequality, Per Capita Expenditure, and Minimum Wage do not show significant effects, indicating that these variables have not yet provided strong direct impacts on changes in poverty depth. Overall, this study emphasizes the importance of strengthening the health sector as a priority strategy for poverty alleviation efforts in Jambi Province.
Determinants of income of extremely poor households in Kota Baru District, Jambi City Nita Yovita Sari; Yulmardi; Hardiani
Escalate : Economics and Business Journal Vol. 1 No. 03 (2024): Escalate: Economics and Business Journal
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/escalate.v3i01.439

Abstract

Extreme poverty in Jambi Province, especially in Kota Baru District with 765 extremely poor households, is a serious challenge. This study analyzes the economic, social, demographic characteristics and income determinants of extremely poor households. Using a quantitative approach, descriptive-explanatory design, primary data from a structured questionnaire on 88 respondents (Cluster Random Sampling from a population of 765 heads of families) and secondary data from BPS and local agencies. Multiple linear regression analysis EViews 12 tested the influence of education, age, dependents, working hours, occupations that passed the classical assumption. The results showed that education (β = 63,817.27, p = 0.000), dependents (β = 45,743.35, p = 0.004), working hours (β = 61,769.63, p = 0.063) had a significant positive effect; age had a significant negative effect (β = -8,326.75, p = 0.003); employment was not significant (p=0.148), explaining 70.4% of the variance in income (R²=0.704). The conclusion recommends vocational training and flexible work policies to alleviate poverty
Pengaruh IPM, TPAK, Jumlah Penduduk dan Pertumbuhan Ekonomi Terhadap Kedalaman Kemiskinan di Kabupaten/Kota Provinsi Jambi Dian Juliana Hutajulu; Yulmardi Yulmardi; Hardiani Hardiani
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 4 No. 1 (2026): Februari: Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jepi.v4i1.2111

Abstract

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.
ANALISIS DISPARITAS DAN PENGARUH PDRB PERKAPITA, BELANJA MODAL, JUMLAH PENDUDUK MISKIN DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP IPM KABUPATEN DAN KOTA DI PROVINSI JAMBI Rizky Mulyawan; Yulmardi; Hardiani
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 4 (2026): Jurnal Riset Multidisiplin Edukasi (April 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i4.1807

Abstract

This research is motivated by the disparity in the Human Development Index (HDI) between districts/cities in Jambi Province, which reflects inequality in the quality of human development. This difference in development levels is a crucial issue because it can impact community welfare and equitable development across regions. Therefore, this study aims to analyze the disparity in the HDI among districts/cities and to calculate the influence of per capita GDP, capital expenditure, the number of poor people, and the open unemployment rate on the HDI of districts and cities in Jambi Province from 2017 to 2024. The analytical methods used in this study include descriptive and quantitative analysis, using the Williamson Index to measure the level of HDI inequality, and panel data regression to analyze the influence of variables affecting the HDI. The results indicate that during the 2017–2024 period, there was moderate HDI inequality in Jambi Province. However, the HDI gap between districts/cities tended to increase in the 2021–2024 period.  Furthermore, the regression analysis results show that GRDP per capita, capital expenditure, the number of poor people, and the unemployment rate significantly influence the HDI in Jambi Province.