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Analisis Industri Otomotif di Provinsi DKI Jakarta, Jawa Barat, Jawa Tengah dan Jawa Timur
Abstract
The automotive industry is one of the most important driving forces of economic growth. The development of the automotive industry in the provinces of DKI Jakarta, West Java, Central Java and East Java is very strategic, so the purpose of this study is to test and analyze the inputs that have a significant effect on the output of the automotive industry in the area. The method used is panel data regression for the period 2010-2014 because it follows the 2009 KBLI. The automotive industry ISIC code is 29100-29300 and 30911-30912. Estimation results show that capital, labor, raw material and energy inputs have a significant positive effect on the output of the automotive industry. This means that Cobb Douglas's theory can be used to explain automotive production in the area.
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Badan Pusat Statistik. 2012. Berita Resmi Statistik 2012. Jakarta: BPS
_________________. 2015. Berita Resmi Statistik 2015. Jakarta: BPS
Çalmaşur, Gürkan. 2016. Technical Efficiency Analysis in The Automotive Industry: A Stochastic Frontier Approach. International Journal of Economics, Commerce and Management. Vol. 4(4):120-137
Fachrizal, Riza. 2016. Pengaruh Modal Dan Tenaga Kerja Terhadap Produksi Industri Kerajinan Kulit Di Kabupaten Merauke. Jurnal Ilmiah agribisnis dan Perikanan (agrikan UMMU-Ternate). Vol. 9(2): 66-75.
Gökmen, Yunus, and Turen, Ufuk. 2013. The Determinants of High Technology Exports Volume: A Panel Data Analysis of EU-15 Countries. International Journal of Management, Economics and Social Sciences. Vol. 2(3): 217 –232.
Kale, D. 2017. Sources of innovation and technology capability development in the Indian automobile industry. Institutions and Economies. Vol. 4(2): 121–150.
Keum, K. 2011. International Tourism and Trade Flows: A Causality Analysis Using Panel Data.Tourism Economics.Vol. 17(5): 949-962.
Krishnaveni, M., andVidya, R. 2015. Growth of Indian automobile industry. International Journal of Current Research and Academic Review. Vol. 3(2):110–118.
Mazumder, R. and Adhikary, M. 2010. Measuring Technical Efficiency in the Indian Automobile Industry. South Asia Economic Journal. Vol. 11(1):53–67.
Munandar, Aris. 2017. Analisis Regresi Data Panel Pada Pertumbuhan Ekonomi Di Negara – Negara Asia. Jurnal Ilmiah Ekonomi Global Masa Kini. Vol.8(1):59-67.
Prasanti, Tyas, A., Wuryandari, Triastuti, dan Rusgiyono, Agus. 2015. Aplikasi Regresi Data Panel Untuk Pemodelan Tingkat Pengangguran Terbuka Kabupaten/Kota Di Provinsi Jawa Tengah. Jurnal Gaussian. Vol. 4(3): 687-696.
Seetaram, Neelu and Petit, Sylvain. 2016. Panel data analysis in Tourism Research. Munich Personal RePEc Archive (MPRA) No. 75086
Singh, J. 2014. India’s automobile industry: Growth and export potential. Journal of Applied Economics & Business Research. Vol. 4(4):246–262.
Sulistiana, R. 2010. Analisis Industri Kelapa Sawit Indonesia. Buletin Ilmiah Litbang Perdagangan. Vol. 7(2): 129-149.
Toloo, M. and Ertay, T. 2014. The Most Cost Efficient Automotive Vendor with Price Uncertainty: A New DEA Approach. Measurement.Vol. 52: 135–144.
Wiharja, Yuki Tiara, dan Natalia, Christine. 2013. Dampak Kenaikan Tarif Dasar Listrik Terhadap Institusi Rumah Tangga di Indonesia dengan Model Computable General Equilibrium. Jurnal Metris. Vol. 14 (13): 121 – 130.
Winarsih, Baedhowi, Bandi. 2014. Pengaruh Tenaga Kerja, Teknologi, Dan Modal Dalam Meningkatkan Produksi Di Industri Pengolahan Garam Kabupaten Pati. Jurnal Pendidikan Insan Mandiri: Vol. 3(2):88-98
DOI: https://doi.org/10.21107/mediatrend.v15i1.6641
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