ANALISIS VARIABEL-VARIABEL YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI KEPULAUAN BANGKA BELITUNG TAHUN 2008-2015
DOI:
https://doi.org/10.29244/ijsa.v3i2.194Keywords:
economic growth, human development index, panel regressionAbstract
Economic growth of a region can assess from various aggregate sizes, one of them is GDRP (Gross Regional Domestic Product). Based on theory, GDRP can influenced by several variables, including world commodity prices which have the largest share of GDP, labor force participation rate (LFPR), Human Development Index (HDI), income inequality, open unemployment rate and percentage of the poor. In 2015 Bangka Belitung Islands Province GRDP had a share of around 0.5 percent of Indonesia's GDP. The largest share is West Bangka Regency with 11.46 trillion rupiahs, while the smallest one is East Belitung with 6.112 trillion rupiahs.To find out picture of economic growth and the influence of variable prices of palm oil commodities, LFPR, HDI income inequality, open unemployment and the percentage of the poor on economic growth in the Bangka Belitung Islands Province 2008-2015, the method used is descriptive analysis and panel data regression.The best model for estimating GDRP growth in Bangka Belitung Islands Province in 2008-2015 is the fix effect model with Seemingly Uncorrelated Regression Method. With alpha 5 percent, the variables that significantly influence economic growth are HDI, the percentage of the poor, labor force participation rate (LFPR), income inequality, open unemployment rate and world commodity prices.economic growth
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References
Aigheyisi, O. S. (2013). Economic Growth and Human Development Effect of Globalization in Nigeria: Evidence in the Democratic Era. Journal of Economic and Sustainable Development 4(12): 24-33.
Baltagi, B.H. (2005). Econometric Analysis of Panel Data. Third Edition. Chichester: John Wiley & Sons, Ltd.
Makaringe, S. C., & Khobai, H. (2018). The effect of unemployment on economic growth in South Africa (1994-2016). MPRA Paper No 85305.
Denison, E. F. (1962). Sources of economic growth in the United States and the alternatives before us. Supplementary Paper, No.13.
Greene, W. H. (2000). Econometric analysis. Fourth Edition. New Jersey: Prentice Hall.
Gujarati, D. N. (2003). Basic Econometric. Fourth Edition. New York: McGraw-Hill Companies.
Hill, R. C., Griffiths, W. E., & Lim, G. C. (2011). Principles of econometrics. Fourth Edition. Chichester: John Wiley & Sons.
Kalsum, U. (2017). Pengaruh Pengangguran dan Inflasi terhadap Pertumbuhan Ekonomi di Sumatera Utara. Jurnal Ekonomikawan, 17(1): 87-94.
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models (Vol. 5). New York: McGraw-Hill Companies.
Adioetomo, S. M., & Samosir, O. B. (2010). Dasar-dasar Demografi. Jakarta: Salemba Empat.
Nash, M. S., & Bradford, D. F. (2001). Parametric and nonparametric logistic regressions for prediction of presence/absence of an amphibian. US Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Environmental Sciences Division.
Tian, Y. (2012). The effect of income inequality on economic growth in China. Economics & Business Journal: Inquiries & Perspectives, 4(1), 150-157.
United Nation. (2009). System of national accounting 2008. United States: PBM Graphics.
United Nation. (2014). Human development report 2014. United States: PBM Graphics.
Todaro, M.P. dan S.C. Smith. (2003). Pembangunan Ekonomi di Dunia Ketiga. Jilid 1. Edisi Kedelapan. Jakarta: Erlangga.
Wibisono, D. (2003). Riset Bisnis. Jakarta: Rajawali Pers.
