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All Journal Journal of Indonesian Tourism and Development Studies International Journal of Local Economic Governance
Susilo Susilo
Brawijaya University
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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Shift Sector Analysis of Economy in Mamminasata Region Fadhila Ratu Pratiwi; Moh Khusaini; Susilo Susilo
e-2477-1929
Publisher : Institute of Research and Community Service, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.209 KB) | DOI: 10.21776/ub.ijleg.2016.002.02.1

Abstract

Mamminasata region which is located in South Sulawesi Province consists of Makassar City, Maros District, Gowa District and Takalar District. The districts have sourced leading sectors which can contribute to each area. This study aims to determine whether the leading sector have a shift sector in the Mamminasata region by using shift share tools analysis to find competitive sector. This study uses secondary GDP (Gross Domestic Product) data from Central Bureau of Statistics South Sulawesi Province in 2006 and 2013. Based on the results, Makassar City does not have a shift sector and the trade sector is not a competitive sector. Maros District has a shift from agriculture to industry but this sector is a competitive sector. Gowa District does not have a shift sector in agriculture sector and this sector is not competitive sector. It differs from Takalar District which does not have a shift sector in agriculture sector and fishery sector is competitive.
Regional Economics: How does Tourism Influence Regional Revenue of Malang Raya? Elok Tri Wahyuni; Susilo Susilo; Sri Muljaningsih
Journal of Indonesian Tourism and Development Studies Vol. 6 No. 2 (2018)
Publisher : Program Pascasarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper aims to analyze the influence of tourism sector to regional revenue of Malang Raya. In this case, tourism sector used the number of tourist arrival, hotel’s room occupancy rate, the number of restaurants, and the sum of PDRB (Gross Regional Domestic Product) during the period of 2006-2016. The secondary panel data from three Local Governments in Malang Raya is analyzed by using fixed effect model of multiple regressions. The result shows that all independent variables simultaneously give significant influence to regional revenue. Partially, the number of tourist arrival and hotel’s room occupancy rate give the significant influence to regional revenue. The other two variables, i.e. the number of restaurant and sum of PDRB did not give significant influence. A regression model of 97.76% is generated to predict regional revenue of Malang Raya. The conclusion gives an insight that local governments in Malang Raya should pay more attention to the effort of promoting Malang Raya to encourage tourist to come and stay longer, in order to increase the regional revenue and also to increase the share of the tourism sector to regional revenue.Keywords: Malang Raya, regional revenue, tourism.
Regional Economics: How does Tourism Influence Regional Revenue of Malang Raya? Elok Tri Wahyuni; Susilo Susilo; Sri Muljaningsih
Journal of Indonesian Tourism and Development Studies Vol. 6 No. 2 (2018)
Publisher : Postgraduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jitode.2018.006.02.04

Abstract

This paper aims to analyze the influence of tourism sector to regional revenue of Malang Raya. In this case, tourism sector used the number of tourist arrival, hotel's room occupancy rate, the number of restaurants, and the sum of PDRB (Gross Regional Domestic Product) during the period of 2006-2016. The secondary panel data from three Local Governments in Malang Raya is analyzed by using fixed effect model of multiple regressions. The result shows that all independent variables simultaneously give significant influence to regional revenue. Partially, the number of tourist arrival and hotel's room occupancy rate give the significant influence to regional revenue. The other two variables, i.e. the number of restaurant and sum of PDRB did not give significant influence. A regression model of 97.76% is generated to predict regional revenue of Malang Raya. The conclusion gives an insight that local governments in Malang Raya should pay more attention to the effort of promoting Malang Raya to encourage tourist to come and stay longer, in order to increase the regional revenue and also to increase the share of the tourism sector to regional revenue. Keywords: Malang Raya, regional revenue, tourism.
Co-Authors Elok Tri Wahyuni Fadhila Ratu Pratiwi Marlina Ekawaty Moh. Khusaini Pudjihardjo Pudjihardjo Sri Muljaningsih Yetty Nurhayati