THE ANALYSIS OF ECONOMY POTENTIAL AND BASE SECTOR OF SEVEN PROVINCES IN SUMATERA
Keywords:GDP, LQ, Value Added
AbstractThis study aims to calculate the relative ratio of the value added contribution of a sector in Sumatra region to the value added contribution of the sector concerned on a provincial or national scale growth patterns in South-Sumateran distinct groups of regions across Sumatera Island from 2014 until 2019. The analysis follows the two steps of quantitative analysis tools; Location Quotation (LQ) and Klassen Tipology.The LQ analysis will show of quantifying how concentrated a particular source of income, geographic, and the demographic group is in a region as compared to the nation. It can reveal what makes a particular region â€œuniqueâ€ in comparison to the national average. The results showed that the GDRP business sector which has high potential value and high added value significantly spurs economic growth. This article ends with several policy recommendations for lagging regions. TheÂ recommendation and analysis will help to organize the economic growth of each province in a structured manner based on its sector potential.
Ahmad, M. (2019). Globalisation, Economic Growth, and Spillovers: A Spatial Analysis. Margin,13(3),255â€“276. https://doi.org/10.1177/2347631119841257.
Annoni, P. (2019). Location matters : A spatial econometric analysis of regional resilience in the European Union. April 2018, 824â€“855. https://doi.org/10.1111/grow.12311
Central Bureau of Statistics. North Sumatera Statistics. North Sumatera. Indonesia. https://sumut.bps.go.id/
Central Bureau of Statistics. South Sumatera Statistics. South Sumatera. Indonesia. https://sumsel.bps.go.id/
Central Bureau of Statistics. West Sumatera Statistics. West Sumatera. Indonesia. https://sumbar.bps.go.id/
Central Bureau of Statistics. Lampung Province Statistics. Lampung. Indonesia.
Central Bureau of Statistics. Riau Province Statistics. Riau. Indonesia. https://riau.bps.go.id/
Central Bureau of Statistics. Bengkulu Province Statistics. Bengkulu. Indonesia. https://bengkulu.bps.go.id/
Central Bureau of Statistics. Jambi Province Statistics. Jambi. Indonesia. https://jambi.bps.go.id/
Harisman, Beni. (2007). Analysis of Economic Structure and Identification of Superior Sectors in
Jumiyanti, K. R., Development, S., Economics, F., & Gorontalo, U. (2016). Location Quotient Analysis in Determination of Basis and Non-Basis Sectors in Gorontalo District.
Lampung Province (1993-2003 period) Repostory Bogor Agricultural University. Bogor. http://repository.ipb.ac.id/handle/123456789/14891.
Mankiw, N. Gregory. (2003). Macroeconomic Theory, Fifth Edition, Publisher Erlangga, Jakarta.
Putri Suryani Sebayang. (2017). ANALYSIS OF ECONOMIC GROWTH AND INequality between SUMATERA PROVINCE, 2011 - 2015, Department of Economics, Postgraduate Program, State University of Medan.
Rusli Ghalib. (2005). Regional Economy, Publisher Pustaka Ramadhan, Bandung
Romzi, Kurniasari, Yuniarti. (2011). Analysis of Spatial Impacts on Economic and Employment Forecasting. Central Bureau of Statistics. Jakarta.
Sjafrizal. (1997). "Economic Growth and Regional Inequality in the Western Part of Indonesia", Prisma, LP3ES, No. 3, 27-38.
Suchaini, Udin. (2013). Industrial District Agglomeration Phenomenon and Characteristics of Industrial Locations. Book Kitchen. Jakarta.
Tombolotutu. (2019). Convergence analysis and spatial dependency of economic growth in the districts/municipality in Central Sulawesi Province, Journal IOP Conf. Series: Earth and Environmental Science 235 (2019) 012098 IOP Publishing.
Usya, N. (2006). Economic Structure Analysis and Identification of Leading Sectors in Subang Regency. Thesis, Faculty of Economics and Management, Bogor Agricultural University.
Copyright (c) 2021 Journal of Indonesian Applied Economics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.