ANALISIS PENGARUH ANGKATAN KERJA DAN LEMBAGA PELATIHAN KERJA TERHADAP PRODUK DOMESTIK REGIONAL BRUTO KABUPATEN/KOTA DI JAWA TIMUR
Main Article Content
Abstract
Gross Regional Domestic Product is one of the good indicators to measure the economy of a region. In this study, GRDP modeling was conducted with the independent variables of the employed workforce (X1) and the number of job training institutions (X2) using spatial regression and Ordinary Least Square (OLS). The purpose of this study was to determine the spatial regression model of GRDP with these two predictors or independent variables, to determine the interaction of the proximity of districts/cities with neighboring districts/cities, and to determine the effect of the employed workforce (X1) and the number of job training institutions (X2) on the GRDP value. The results showed that based on the Robust Lagrange Multiplier test, the appropriate spatial regression was the SAR model. The coefficient of determination and MAPE in the OLS model were 57.8% and 1.888, while in the spatial regression model were 68.72% and 0.4139. These results indicate that spatial regression is better than OLS in modeling GRDP in East Java, because the coefficient of determination of the spatial regression model was larger and the MAPE was smaller than the OLS model. The interaction of the proximity of a district/city with neighboring districts/cities indicates that the district/city economy is influenced by the economy of neighboring districts/cities. The two independent variables, namely the employed workforce (X1) and the number of job training institutions (X2) have a positive influence on the GRDP value.
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
[1] Organisation for Economic Co-operation and Development (OECD), Understanding national accounts (3rd ed.), OECD Publishing, 2021.
[2] R. Azaliah, H. Kurniawan, D. Hartono, and P.A. Widyastaman, “The convergence of energy intensity in developing countries: A spatial econometric analysis with Indonesia’s provincial panel data,” Environment, Development and Sustainability, vol. 26, no. 6, pp. 14915–14939, 2024.
[3] Badan Pusat Statistik Provinsi Jawa Timur, Produk Domestik Regional Bruto Provinsi Jawa Timur menurut lapangan usaha 2019–2023, 2024.
[4] J. LeSage, and R.K. Pace, Introduction to spatial econometrics with R. Chapman and Hall, CRC, 2019.
[5] A.S. Putra, G. Tong, and D.O. Pribadi, “Spatial analysis of socio-economic driving factors of food expenditure variation between provinces in Indonesia,” Sustainability, vol. 12, no. 4, 1638, 2020.
[6] R.C. Miranti, and C. Mendez-Guerra, ”Human development disparities and convergence across districts of Indonesia: A spatial econometric approach,” Munich Personal RePEc Archive, no. 102453, 1–28, 2020. https://mpra.ub.uni-muenchen.de/102453/
[7] N. Maulita, ”Pemodelan PDRB sektor industri dan perdagangan di Jawa Timur menggunakan regresi spasial,” Skripsi, Institut Teknologi Sepuluh Nopember, ITS Repository, 2024.
[8] S.N. Arief, “Pemodelan PDRB Jatim dengan regresi panel dinamis GMM,” Tesis, Institut Teknologi Sepuluh Nopember, ITS Repository, 2023.
[9] N.G. Mankiw, Principles of economics (3rd ed.), South-Western of Thomson Learning, 2004.
[10] D.N. Gujarati, Ekonometrika Dasar, Erlangga, Jakarta, 1997.
[11] J.P. LeSage, Spatial Econometrics. Department of Economics, University of Toledo, 1998.
[12] L. Anselin, Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic Publishers, 1988.
[13] A.K. Bera and M.J. Yoon, “Specification Testing with Locally Misspecified Alternative,” Econometric Theory, vol. 9, no. 4, pp. 649-658, 1993. doi:10.1017/S0266466600008021.
[14] J.G. Negreiros, M.T. Painho, F.J. Aguilar, and M.A. Aguilar, “A Comprehensive Framework for Exploratory Spatial Data Analysis: Moran Location and Variance Scatterplots, International Journal of Digital Earth, vol. 3, no. 2, pp. 157-186, 2009. Doi:10.1080/17538940903253898.
[15] T.J. Case, ”Illustrated Guide of Theoretical Ecology,” Ecology, vol. 80, no. 8, p. 2848, 1999.
[16] M. Simatupang, ”Analisis spasial pada PDRB sektor industri pengolahan di kabupaten/kota Provinsi Jawa Barat,” Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan, vol. 3, no. 2, pp. 435–447, 2021.