Analysis the development of growth centers and hinterland areas in Bangka Regency, Indonesia (original) (raw)

Determining The Centers of Economic Growth And Regional Development Using Scalogram Analysis (An Empirical Study In West Halmahera Regency, Indonesia)

IOSR Journal of Economics and Finance, 2016

Each region has potentials and economic advantages that can be used as the source of its regional growth. The capability of each region to promote its own growth depends on its economic competitive advantages. This study is aimed to determine the centers of economic growth and regional development in West Halmahera Regency in the North Moluccas Province. The data used for analysis is secondary data which were collected using documentation method and internet browsing. The method of analysis used is scalogram analysis. The results show that among 9 subdistricts observed in this study, only 4 have the highest scores for socioeconomic infrastructures completeness. The subdistrict located in the central administrative area is the center of growth or growth pole, and the other 3 subdistricts act as the buffer areas. Based on scalogram analysis results, it is found that the growth of each subdistrict is relatively similar, with only 1 subdistrict that shows a relatively more advance growth in Hierarchy II with the highest Index of Subdistrict Growth (ISG) at 21.3433. The other 8 subdistricts are underdeveloped regions within Hierarchy III with the variable Index of Subdistrict Growth (ISG).

Examining growth centers and agricultural base commodities to enhance regional development in Tanjung Jabung Barat Regency, Jambi Province

Jurnal Perspektif Pembiayaan dan Pembangunan Daerah

Determining growth centers and agricultural base commodities is essential for optimizing economic development and achieving economic equality in the Tanjung Jabung Barat Regency area. This study aimed to identify sub-districts that could become growth centers, establish agricultural commodities based in each Tanjung Jabung Barat Regency sub-district, and examine interactions between growth centers and surrounding areas. Three methods employed in this research include Scalogram analysis, Centrality Index, Location Quotient, and Dynamic Location Quotient. Based on the Scalogram analysis and Centrality Index results for the 13 Tanjung Jabung Barat Regency sub-districts, four sub-districts were identified as potential growth centers: Tungkal Ilir, Tebing Tinggi, and Merlung. The Tanjung Jabung Barat Regency Government is recommended to establish basic commodity specialization in each sub-district and strengthen inter-regional linkages to accelerate regional economic equity.

The Analysis of Interaction for Center of Economic Growth

Efficient: Indonesian Journal of Development Economics

This study aims to analyze the districts that are the center of economic growth in East Bali; the interaction of the center of economic growth in East Bali with the surrounding areas in the Province of Bali; the position of the economy in each district in East Bali based on the growth rate; base sector and non-base sector in each district in East Bali. This research uses quantitative research. The data used in this research is secondary data. Methods of data analysis using Scalogram Analysis and Marshal Centrality Index; Gravity Analysis; Klassen Typological Analysis; Location Quotient (LQ) analysis. The results showed that Karangasem Regency is the center of economic growth in East Bali and has the strongest interaction with Klungkung Regency, while the weakest interaction is with Jembrana Regency; Karangasem Regency, Klungkung Regency, and Bangli Regency; The agricultural, forestry, and fishery sectors, the mining and quarrying sector, the government administration sector, defense...

Development of Center for Village Economic Growth: The Case Study of Lombok Barat Regency, Nusa Tenggara Barat Province, Indonesia

This study aims to determine the leading sector or basis sector to be prioritized in developing the center of economic growth in rural areas of Lombok Barat Regency, Nusa Tenggara Barat Province. The method used is Location Quotient (LQ). The analysis result shows that the leading sector in Lombok Barat Regency, where the LQ value is greater than 1 for the period of 2010-2013 were electricity, gas and clean water, construction and services sector, while the others including to non-base sector. During 2010 to 2013 the basis sector in Lombok Barat Regency has changed slightly each year. This is indicated by the decline in productivity in the manufacturing sector in 2012 to 2013, so the sector is no longer become a basis sector in Lombok Barat Regency. However, for the long term, the center of rural economic growth is not only based on one basis sector alone because of the dynamics of development that causes the change. Recently, the Lombok Barat Government prioritizes the tourism sector, so that it can be a leading sector even not becoming a basis in establishing a center of rural economic growth. Refer to the results of the study, we propose the Government of Lombok Regency to prioritize electricity, gas and clean water in developing center of economic growth.

Determining optimal location of new growth centers based on LGP–IRIOmodel to reduce regional disparity in Indonesia

Development policy that mainly focuses on economic growth has triggered increasing regional disparity in Indonesia, exacerbated by the concentrated develop- ment of growth centers that generate backwash effects rather than spillover effects. Balanced regional development is needed and can be initiated through a spatial system approach, where the growth centers and their hinterlands are developed simultane- ously as an integrated system. The aim of this research is to define newgrowth centers that can stimulate the optimal utilization and interaction between regional resources for generating more balanced and efficient development. Three interrelated models are developed to address this: (1) an inter-regional input–output (IRIO) optimization model to generate optimal resource use and improve development performances, (2) a transportmodel to determine an optimal inter-regional input–output network, and (3) a P-median model to define newgrowth centers and their hinterland areas. Results from the first model show that setting land resource limitations, demand compliance, and goals to increase economic growth, people’s income, and government tax can create higher and equally distributed value of total output. The second model indicated that the optimal flow of input–output increased intensity of economic transaction among provinces, although it was still dominated by interaction between Java and Sumatra. The third model identified seven new growth centers comprising Medan, Tanjung- pinang, Palembang, Balikpapan, Gorontalo, Makassar, and Ternate.

Analisis Pusat Pertumbuhan Ekonomi Pada Tingkat Kecamatan di Kabupaten Asahan Sumatera Utara

Media Trend, 2021

One of the regional development strategies that became the focus of this research was the determination of the growth center. This study aims to find out the areas that are the growth in Asahan Regency and the highest relationship between spatial interactions between the growth centers and the hinterland. This analysisi tool used area scalogram, centrality index, and gravity index.. The results showed that the area that had a hierarchy with a high upward categorization as the center of growth was Kecamatan Kisaran Barat. Kisaran Barat as the growth center with the hinterland region which has the highest interaction value is the Kisaran Timur District, Air Joman District, and Pulo Bandring District.

Cluster analysis and spatial pattern approaches in identifying development pattern of Bodebek region, West Java

Sixth International Symposium on LAPAN-IPB Satellite, 2019

The Bogor-Depok-Bekasi (Bodebek) region is a suburb of the Capital City of Jakarta located in West Java Province and part of the West Java development area (WP) 1, this region has experienced rapid regional development and economic growth due to the urbanization process in Jakarta. The development of this region was marked by the growth of Gross Regional Domestic Product (GRDP) of 42.08% and population increase of 19.54% during the period 2010-2016. However, developments in the Bodebek region have led to the formation of sprawl areas in several areas, leading to unsustainability and leading to the conversion of agricultural land. This study aims to 1) Identify and project Gross Domestic Regional Products (GDRP) growth and population based on a growth model approach using using simple regression equation; 2) Identify the spatial pattern of built-up areas in the Bodebek region by using the Moran index and the Local Indicator of Spatial Association (LISA); and 3) Identify development patterns in the Bodebek region using cluster analysis. The results of this study indicate that built-up areas in the Bodebek region are concentrated (clustered) in the core urban area of the Bodebek Region and its surroundings. In addition, population and GDRP growth in the Bodebek region follow the saturation growth model. Based on the result of cluster analysis, there are 3 clusters in the Bodebek region based on social, economic, population and land use data.

The Strategic Development of Key Potential Area in Seram Barat, Maluku, Indonesia - Published LIPI Press paper

The authority of local governments to promote economic development in their own regions was expected to take place more quickly after implementation of policies promoting decentralisation and regional autonomy. Economic development needs effective strategies and allocation of resources in the potential economic areas selected as growth centres. This research was conducted in Kabupaten Seram Bagian Barat, one of kabupaten in the Maluku Archipelago, East Indonesia. The goal of this research was to assist local governments to design their economic development strategies by selecting areas that showed potential for staging a growth centre pilot project. The criteria used to select the growth centre in this study were competitive commodities, infrastructure, quality of human resources and strategic location. The data analysis techniques used in this study were location quotient shift, location quotient share and the analysis hierarchy process, which involved using three different groups: academi-cians, entrepreneurs and government offi cials. The results showed that Kecamatan Kairatu and Kecamatan Seram Barat had potential as growth areas and could serve as regional pilot project areas. Furthermore, the results also showed that the infrastructure development must be managed by local governments in both regions and priority (from highest to lowest) given to the provision of educational facilities, construction of highways, construction of health facilities, provision of electricity and clean water.

The Impact Of Spillover And Spatial Interaction Of Growth Center Metropolitan “MAMMINASATA" In South Sulawesi, Indonesia

2019

This paper aims to (1) Determine the existence of central growth areas and support regions in teh Mamminasata metropolitan area using scalogram analysis and centrality index, (2) Detect the amount of the interaction value between the supporting regions and the central growth area using gravity analysis, (3) To know the effect of growth overflow between the growth centers and support regions using the intersection of the sides and corners of the region through the local index Moran and Moran scatterplot in spatial autocorrelation. The results of this paper show that (1) Makassar City as a growth centers with a hierarchy of 991.60; Maros, Gowa and Takalar Regencies with hierarchy each levels of 558.30, 591.60, and 558.30. The three districts are support regions in the Mamminasata metropolitan area. (2) The sequence of interactions to the city of Makassar with the total index of each district. Gowa (636) pull power I. Maros regency (89) with pull power II, Takalar Regency (15) with pul...

Interaction model of sustainable urban and hinterland growth in KTM Telang Banyuasin District, Indonesia

IOP Conference Series: Earth and Environmental Science

The objective of the study was to formulate a sustainable growth model of city center interaction and hinterland KTM Telang. This research was carried out at KTM Telang which its area was determined based on Banyuasin Regency Regulation Number 22 Year 2008 about Formation of Area of KTM covering three districts namely Tanjung Lago Subdistrict, Muara Telang Subdistrict, and Sumber Marga Telang Subdistrict, and SK of Bupati Number 341 Year 2008 dated 17 July 2008 on Stipulation of Location of Center KTM Telang Mulya Sari Village. The research was conducted in Mulya Sari Village as the Center of KTM and 6 (six) other selected villages representing the hinterland of KTM Telang. Data collection techniques in this study include structured interviews, indepth interview, observation, and focus group discussion. The analysis was done by using SEM (Structural Equation Modeling) method. The result of the research shows both of infrastructure development and economic growth in the center of KTM...