Penelitian ini bertujuan untuk menganalisis pengaruh belanja modal, pertumbuhan ekonomi dan jumlah penduduk miskin terhadap indeks pembangunan manusia (IPM) kabupaten/kota di Provinsi Jambi. Data yang digunakan dalam penelitian ini adalah data panel dengan jenis data sekunder yang meliputi data time series tahun 2009-2013 dan data cross section untuk sembilan kabupaten dan satu kota di Provinsi Jambi. Hasil regresi data panel menunjukkan bahwa belanja modal berpengaruh positif dan signifikan terhadap IPM. Kemiskinan berpengaruh negatif dan signifikan terhadap IPM. Pertumbuhan ekonomi tidak berpengaruh signifikan terhadap IPM Dari uji Chow dan Uji Hausman maka dapat disimpulkan  bahwa metode estimasi parameter  yang tepat dalam data penelitian ini adalah dengan menggunakan Fixed Effect Model.

This study aims to analyze: 1) economic growth rate, the minimum wage of Jambi Province and the development of poverty in Jambi City; 2) the influence of economic growth and provincial minimum wage for poverty in Jambi City. The data used is secondary data, during the period 2001 - 2015. Data analysis tool using multiple linear regression methods in semilog form. Based on the analysis obtained results: 1) The average economic growth of Jambi during the period of 2001-2015 is 6.28 percent, the minimum wage growth of Jambi Province is 14.30 percent and the poor population growth in Jambi is 17.84 percent; 2)  simultaneously economic growth and minimum wage of provinces have a significant effect on poverty in Jambi City, whereas partially significant variable to poverty is provincial minimum wage. Keywords: Economic Growth, Provincial Minimum Wage, Poverty.  Abstrak Penelitian ini bertujuan untuk menganalisis: 1) laju pertumbuhan ekonomi dan upah minimum provinsi di Kota Jambi; 2) perkembangan kemiskinan di Kota Jambi; 3) pengaruh pertumbuhan ekonomi dan upah minimum provinsi terhadap kemiskinan di Kota Jambi. Data yang digunakan dalam penelitian ini adalah data sekunder selama periode Tahun 2001 - 2015. Alat analisis data dengan menggunakan metode regresi linier berganda dalam bentuk semilog. Berdasarkan hasil analisis diketahui bahwa: 1) Rata-rata pertumbuhan ekonomi Kota Jambi periode 2001-2015 sebesar 6,28 persen, pertumbuhan upah minimum Provinsi Jambi sebesar 14,30 persen dan pertumbuhan penduduk miskin sebesar 17,84 persen; 2) secara simultan pertumbuhan ekonomi dan upah minimum provinsi berpengaruh signifikan terhadap kemiskinan di Kota Jambi, sedangkan secara parsial variabel yang berpengaruh signifikan terhadap kemiskinan adalah upah minimum provinsi. Kata kunci :   Pertumbuhan Ekonomi, Upah Minimum Provinsi, Kemiskinan

This study aims to: 1) analyze trends in the HDI, Food Security Index, Government Spending in Education and Health between Provinces on the island of Sumatra. 2) analyze the influence of the Food Security Index, Government Expenditure in Education and Health on the Human Development Index on the island of Sumatra. This study uses secondary data available from the Food Security Agency and the Central Statistics Agency in 2014-2018. The method used is descriptive and quantitative methods using panel data analysis tools. This study found that: 1) the development of HDI in 10 Provinces of Sumatra increased each year but tended to be slow, the development of government spending in education and health in 10 Provinces of Sumatra fluctuated each year but was still in the minimum provisions of the regional budget, and the Index Food Security in 10 Provinces in Sumatra also experienced fluctuating developments. 2) the variable Food Security, Government Spending in the field of Education and Health partially and simultaneously has a significant positive effect on the Food Security Index.

This study aims to: 1) analyze and describe the development of PAD, Balanced Fund, GRDP, population, HDI, and Regional Expenditure of Bungo Regency during 2004-2019. 2) To analyze the effect of PAD, Balanced Fund, GRDP, population, and HDI on Regional Expenditure of Bungo Regency during 2004-2019. The data used in this research is secondary data. The model used in this study is a multiple linear regression model. The results showed that partially the population, balance funds, population, and HDI had a significant effect on Regional Expenditures in Bungo Regency during 2004-2019, while PAD had no considerable effect on Regional Expenditures in Bungo Regency during 2004-2019 with a significant value of P < 0.05. The R2 value in this study was 0.987391. This shows that 98.7391% of regional expenditure in the Bungi Regency is influenced by the population, PAD, balancing funds, GRDP, and IPM. Meanwhile, 1.2609% were influenced by other factors that were not observed in this study. Keywords : Total population, PAD, Balancing fund, PDRB, IPM,  Regional expenditure

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