scholarly journals Analisis Sektor Ekonomi Basis Dan Non Basis di Kabupaten Ende Periode 2013-2017

Analisis ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 11-26
Author(s):  
Estherlina Sagajoka
Keyword(s):  
Financial Services ◽  
Waste Treatment ◽  
Analysis Tool ◽  
Economic Sectors ◽  
Location Quotient ◽  
Industrial Processing ◽  
The Real Estate ◽  
Services Sector ◽  
Insurance Sector ◽  
Quantitative Descriptive

This research aims to determine the economic sector of base and Non-base in Ende district in the period 2013-2017. The methods used in this study are quantitative descriptive.  The analysis tool used is the Location Quotient (LQ) Analysis of the Location Quotient analysis results showed that the base sector of the 2013-2017 period is 1). Large and retail sectors, car repair and motorcycles (1.42); 2). Transportation and warehousing sectors (1.28); 3). The Real Estate sector (1.17); 4) Industrial processing sector (1.14); 5). Education services sector (1.13); 6). Other services Sectors (1.12); 7). Water procurement sector waste treatment Limbag and recycling (1.10); 8). Construction sector (1.02). And non-base sectors are 1). Corporate services sector (0.03); 2). The accommodation provision sector drinking food (0.49); 3). Information and communication sectors (0.60); 4). Health services and social activities sectors (0.82); 5). Sector of government administration, defence and Social Security mandatory (0.84); 6). Agriculture, Forestry and fisheries sector (0.92); 7). Supply and Gas procurement sector (0.93); 8). Financial services and insurance sector (0.98); and 9). Mining and excavation sector (0.99). The base sectors can be the leading sector for the economic development of Ende District also can be a trigger for other economic sectors that will impact the increase in revenues, increase in PDRB and economic growth  in Ende District in general.

scholarly journals Analysis of Leading Sectors in Increasing Economic Growth in the Province of East Nusa Tenggara in 2014-2018

2021 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Emilia Khristina Kiha ◽  
Frederic Winston Nalle ◽  
Gustaf Inyong Kobi
Keyword(s):  
Economic Growth ◽  
Financial Services ◽  
Secondary Data ◽  
Retail Trade ◽  
The Real Estate ◽  
Services Sector ◽  
Insurance Sector ◽  
Real Estate Sector ◽  
Food And Drink ◽  
Typology Analysis

The aims of the study is to find out the leading sectors in increasing economic growth in the province of east nusa tenggara. This study uses secondary data in the form of PDRB data for the 2014-2018 period obtained through literature books, readings related to the problem under study. Sources of data were obtained from government agencies such as the East Nusa Tenggara Province Central Statistics Agency (BPS), as well as related agencies. The result in this study. 1.     Based on the results of the Klassen Typology analysis, the sector which is included in the advanced sector and growing rapidly or the leading sector is the sector Mandatory Government Administration, Defense and Social Security. Meanwhile, sectors that are included in the advanced but depressed sector are the Agriculture, Forestry and Fisheries sector, the Construction sector, the Transportation and Warehousing sector, the Information and Communication sector, the Education Services sector, the Health Services sector and Social Activities and the Other Services sector. Sectors classified as potential or still developing sectors are mining and quarrying sector, processing industry sector, electricity and gas supply sector, wholesale and retail trade: car and motorcycle repair and accommodation and food and drink provision sector. Meanwhile, sectors that are relatively lagging behind are the water supply sector, waste management, waste and recycling, the financial services and insurance sector, the real estate sector and the corporate services sector.

scholarly journals ANALISIS IDENTIFIKASI SEKTOR PEREKONOMIAN SEBAGAI SEKTOR BASIS DAN SEKTOR POTENSIAL DI KOTA BOGOR

2018 ◽  
Vol 9 (2) ◽  
pp. 198-208
Author(s):  
Resista Vikaliana
Keyword(s):  
Financial Services ◽  
Regional Growth ◽  
Retail Trade ◽  
Economic Sector ◽  
Economic Sectors ◽  
Location Quotient ◽  
Services Sector ◽  
Average Value ◽  
Food And Beverage ◽  
The City

This study aims to determine the sectors that become the basis sector and non-base in the city of Bogor, then to know the performance of each sector in the city of Bogor, and to know the sector that became a potential sector in the city of Bogor. The research was conducted by using Location Quotient / LQ method. In the city of Bogor, from the period of 2011 to 2015 there is one sector of the highest base of electricity and gas procurement sector. Of the 16 economic sectors, the economic sector including the basic sector in 2011 is the procurement of electricity and gas, the transportation and warehousing sectors, the financial services sector and insurance and other services sectors. In addition to these four sectors in 2011, in 2012-2015, it increased by 7 sectors, to 11. The additional sectors were water supply, waste management, waste, construction, and large and retail trade sectors; car and motorcycle repair, accommodation, food and beverage sector, information and communications sector, corporate services sector, health services sector and social activities. then that included in the non-base sector is the other five sectors.In the city of Bogor the performance of the economic sector can be explained that the sector that has the average value of Regional Growth (PR) is the highest sector of procurement of electricity and gas. This value indicates that the growth of electricity and gas procurement sector in Bogor City is higher than that of Indonesia. In Bogor City from 2011 to 2015 included in the potential sector is sector. Then from these sectors, the most potential sector or the most potential sector is the electricity and gas procurement sector.From the results of research that has been obtained by researchers, the researchers provide suggestions that must be taken are as follows: First, the base sector should be more maintained and developed again without exclude development against other sectors. The electricity and gas procurement sector that contributes to the GRDP should be developed by industrializing in cooperation with investors, so that the contribution from the gas and electricity procurement sector can increase again. Second, planning in development should be given to sectors that have the potential to be developed as a top priority so that development can be carried out more optimally.

Determination of economic sector in East Kalimantan, Indonesia

2018 ◽  
Vol 11 (3) ◽  
pp. 182-201
Author(s):  
Zaini Achmad
Keyword(s):  
Financial Services ◽  
Production Factor ◽  
Economic Sector ◽  
Economic Base ◽  
Economic Sectors ◽  
Location Quotient ◽  
Content Type ◽  
East Kalimantan ◽  
Multiplier Effect

Purpose This paper aims to analyze the superior economic sector by looking at its contribution to the gross regional domestic product (GRDP) of East Kalimantan Province, the economic base, the multiplier effect and the strength of inter-sectoral linkages. Design/methodology/approach This study was designed through two research approaches, namely, quantitative and qualitative method. This is intended to complement the results of the phenomenon under study and to strengthen the analysis. Secondary data were analyzed by the level of contribution of the economic sectors to the GRDP, and the base sector was determined through the location quotient approach. The two methods of calculation helped to reveal the dominant economic sectors in East Kalimantan Province. The Input Output (IO) Table in 2016 was made up dated from the 2009 IO Table to be used as a basis for building Social Accounting Matrix data or known as the East Kalimantan Regional Socio-Economic Balance System (SEBS) (a matrix of 49 × 49 sectors) in 2017 by using the RAS method. To be consistent, these SEBS data are then aggregated so all commodities are combined into economic sectors used to determine the leading sector on the East Kalimantan Province SEBS in 2016 (a matrix of 41 × 41 sectors). Findings Based on the assessment by scoring of the criteria for determining the leading economic sectors in East Kalimantan, i.e. the contribution of the economic sector to GRDP, the economic base, the multiplier effect (income, production factor, and output) and the linkages between sectors, both backward and forward linkage, shows the ten leading sectors as follows: the trade; paper and printed goods; financial institutions and other financial services; fertilizer; chemical and other rubber products; hotel and restaurant; general government; fisheries; excavation; and mining without oil and gas. Originality/value Similar research has never been done before in East Kalimantan; this is one of the originalities of this present study. No previous study has comprehensively studied the mediating effects of tourist value perception on the determination of economic sector, especially in Kalimantan, Indonesia.

scholarly journals Influencing factors for the digital transformation in the financial services sector

2020 ◽  
Author(s):  
Oliver Werth ◽  
Christoph Schwarzbach ◽  
Davinia Rodríguez Cardona ◽  
Michael H. Breitner ◽  
Johann-Matthias Graf von der Schulenburg
Keyword(s):  
Influencing Factors ◽  
Social Factors ◽  
Financial Services ◽  
Digital Transformation ◽  
Underlying Structure ◽  
Services Sector ◽  
Insurance Sector ◽  
Financial Services Sector ◽  
Primary Driver ◽  
Almost All

AbstractDigital transformation affects almost every area in societies and has consequences for incumbent companies. With qualitative research, we explore the influencing factors for digital transformation in the financial services sector. We use a PEST-model and Porter’s Five Forces as the underlying structure for our analysis. Our interviews and findings show that the financial services sector face the same current challenges, but their impact is perceived higher in the banking than in the insurance sector concerning social factors and bargaining power of buyers. The character of the current development is evolutionary rather than disruptive. Almost all incumbents currently focus on modernizing and consolidating their backend-systems. The aim is to enable them for new customer-oriented services. A primary driver for the digital transformation is the threat of a broader market entry by BigTechs. Our research provides a comprehensive overlook about the influencing factors of digital transformation using statements from experts in the field.

Assessing the prudential approach of the Financial Services Commission towards corporate failure in Mauritius

2018 ◽  
Vol 60 (2) ◽  
pp. 646-661
Author(s):  
Roopanand Mahadew ◽  
Bhavna Luchmun
Keyword(s):  
Financial Services ◽  
Social Implications ◽  
Comprehensive Overview ◽  
Business World ◽  
Content Type ◽  
Corporate Failure ◽  
Services Sector ◽  
Insurance Sector ◽  
The Social ◽  
International Investors

Purpose This paper aims to provide a comprehensive overview of the sphere of corporate failure in Mauritius. The causes are explained and urge to take preventive measures is justified therein. Recommendations are finally proposed to prevent corporate failure in Mauritius. Design/methodology/approach The methodology used is based on a mixture of the legal research method and case study analysis. This paper analyses every legal instrument such as enactments, binding rules, regulations and guidelines relevant to the Financial Services Commission (FSC) and the insurance sector in Mauritius. Findings The prudential approach by the FSC is on the basis of any attempt for preventing corporate failure in Mauritius. However, there is still room for improvement with amendments that can be brought to various stages, such as the licensing, compliance and regulation stage. Research limitations/implications In terms of research limitation, this is an area that is quite new in Mauritius, implying that literature would mostly be indirect in nature. However, it has a high implication as it positions itself as one of the first pieces of literature on the issue of corporate failure in Mauritius. It can be the beginning of a long and required series of literature much needed in the field. Practical implications The effectiveness of the regulatory power of the FSC is essential for the financial sector’s future of Mauritius. The amendments that are proposed thought this study would help to immediately improve the health of this essential sector. Social implications It posits the business world as an area in which the social impacts are significant. The social implications would be towards researchers, students, practitioners and policymaker. Also, it is a piece of research that would be important for investors who would want to invest in the financial sectors in Mauritius. Originality/value This paper will be highly instrumental to policymakers, regulatory authorities, international investors and local businessmen wishing to enter the financial services sector to have a better idea of how this very important pillar of the economy of Mauritius can be shielded better against failure and how it can be enhanced to promote the economic growth of Mauritius.

scholarly journals ANALISIS POTENSI SEKTOR POTENSI PERTANIAN DI KABUPATEN KEDIRI TAHUN 2010-2014

2016 ◽  
Vol 14 (1) ◽  
pp. 99
Author(s):  
Abdurrahman Rasyid
Keyword(s):  
Analysis Tool ◽  
Economic Sector ◽  
Contribution Rate ◽  
Economic Sectors ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Research Problems ◽  
Average Contribution ◽  
Constant Prices

The purpose of this study refers to the content and formulation of research problems, namely: to identify the structure of the economy in Kediri, analyzing knowing what economic sectors into competitive advantage and specialization in Kediri, analyzing whether there is an increase or decrease. The analysis tool used is: 1). Sector contribution (contribution) to the GDP, 2). Location Quotient (quotient Area), 3). Shift-Share Analysis: 4). Analysis MRP. The results of the analysis using the contributions show 1) Average sectoral contribution to the GDP the highest rates in Kediri is found in the agriculture sector and continue to decline. For the lowest contribution rate of the economic sector to the GDP at constant prices in Kediri are sectors Electricity, Gas & Water 2014 with the value of an average contribution amounting The results showed that the determination of a sector basis Basis sector is still dominated by agriculture sector and mining sector & Excavation which is as Primary Sector

scholarly journals Pola Pengembangan Potensi Daerah Dalam Upaya Peningkatan Produk Domestik Regional Bruto Provinsi Gorontalo

SENTRALISASI ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Kalzum R Jumiyanti ◽  
Barmin R Yusuf
Keyword(s):  
Economic Growth ◽  
Real Estate ◽  
Analytical Method ◽  
Economic Activity ◽  
National Income ◽  
Economic Sector ◽  
Economic Sectors ◽  
Location Quotient ◽  
The Real Estate ◽  
Real Estate Sector

The objectives of this paper are to analyze economic growth through the GRDP (Gross Regional Domestic Product) figure which leaves a problem of regional disparity between districts/cities in Gorontalo Province and aims to identify potential sectors in districts/cities in Gorontalo. The analytical method used is location quotient, Klassen typology, Williamson analysis, and Gini ratio. The findings in this paper are where Gorontalo City is the center of economic activity, so it can be said that of the 17 (seventeen) Gorontalo provincial national income sectors, 15 (fifteen) of them are based sectors, 2 sectors are agriculture, forestry and the fisheries and mining and quarrying sector are not the basic sectors in Gorontalo City. Gorontalo City has 15 (fifteen) basic sectors, 3 (three) sectors that have the highest value for the base sector including the water supply sector, the sector of providing food and drinking accommodation, and the real estate sector. Another case with other districts that are hinterland areas for developed regions. High inequality in developed regions (Gorontalo City) and hinterland areas such as Gorontalo Regency, Bone Bolango Regency, North Gorontalo Regency, Boalemo Regency, and Pohuwato Regency are caused by backwash effects so that financially cannot focus on funding investment in its superior sectors. Leading sectors in Gorontalo Regency have 9 (nine) leading economic sectors, Bone Bolango Regency has 11 (eleven) leading economic sectors, North Gorontalo Regency has 6 (six) leading economic sectors, Boalemo Regency has 1 (one) leading economic sector and Regency Pohuwato has 6 (six) leading economic sectors.

GREEN LOAN BANKS POLICY TO PROVIDE ENVIRONMENT FRIENDLY PROJECT

2020 ◽  
Vol 5 (2) ◽  
pp. 215-230
Author(s):  
Tri Handayani ◽  
Lastuti Abubakar ◽  
C. Sukmadilaga
Keyword(s):  
Financial Services ◽  
Economic Activities ◽  
Economic Sectors ◽  
Environment Friendly ◽  
Services Sector ◽  
Positive Law ◽  
Environmental Recovery ◽  
Green Development ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Banks have an important role in realizing SDGs, therefore the Bank must continue to develop its products and services to be directed towards sustainable economic activities and not too exploring resources. Based on The Appendix of the President Decree No. 59/2017 the Indonesian government directed the global target of economies inclusive regarding the participation of the financial services sector. The Banks will support the priority economic sectors development such as agriculture, processing industries, and infrastructure, Micro, Small, Medium Enterprises and Energy. Banks can participate by using a green loan policy. This research is a normative legal research, which focuses on examining the application of the rules or norms in positive law. The result is the Banks play a key role in society, banks have purpose to help develop sustainable economies and to empower people to build better futures. When banks will give a credit to those who have a business that has a direct impact to the environment, bank also can be offer a position as a manager of environmental recovery guarantee funds. In other side, Banks can provide green development, in a process of giving credit to the debtor; banks need to pay attention to the business legality of prospective debtors. Banks are required to ensure that prospective customers have a legal business and comply with all relevant laws and regulations. 

scholarly journals Penentuan Pusat Pertumbuhan pada Satuan Wilayah Pengembangan (SWP) Kediri Provinsi Jawa Timur

2019 ◽  
Vol 6 (1) ◽  
pp. 50
Author(s):  
Danu Hadi Basito ◽  
R. Riniati ◽  
Sebastiana Viphindrartin
Keyword(s):  
Descriptive Analysis ◽  
Interaction Strength ◽  
Secondary Data ◽  
Potential Interaction ◽  
Economic Sectors ◽  
Location Quotient ◽  
Quantitative Descriptive Analysis ◽  
Development Unit ◽  
Quantitative Descriptive ◽  
Gravitation Model

Research conducted aims to: 1) to identify the potential economic sectors as the base sector as a determinant of the central region of growth in the Region Development Unit (RDU) Kediri East Java; 2) to identify economic sectors that have a competitive advantage in the Region Development Unit (RDU) Kediri East Java; (3) to classify the region in each Regency / City in the Region Development Unit (RDU) Kediri East Java; (4) to identify region based on the availability of service facilities in Region Development Unit (RDU) Kediri East Java; and (5) to identify region with potential interaction strength among regions as the central development areas in Region Development Unit Kediri East Java'. An analysis method that used a method of quantitative descriptive analysis by using secondary data obtained from the Statistic Indonesia and other institutions needed. The analysis is use location quotient analysis, shift share analysis, typologi klassen analysis, scalogram analysis, dan gravitation model analysi. The Analysis showed Kediri City emerges as a growth poles in Region Development Unit Kediri East Java with regional advantages from two aspects namely regional capability (Location Quotient analysis) and high per capita income (Tipology Klassen analysis) with hinterland area such as Kab. Nganjuk, Kab. Trenggalek, and Kab. Kediri and Kab. Tulungagung. Keywords: Gravitation, Growth Poles, Location Quotient, Scalogram, Shift Share, Typologi Klassen.

scholarly journals Analisis Potensi Daya Saing Ekonomi Kota Jambi

2020 ◽  
Vol 5 (1) ◽  
pp. 42
Author(s):  
Osrita Hapsara ◽  
Sudirman Sudirman
Keyword(s):  
Health Services ◽  
Economic Efficiency ◽  
Financial Services ◽  
Retail Trade ◽  
Economic Sector ◽  
Economic Sectors ◽  
Education Services ◽  
Services Sector ◽  
Government Administration ◽  
Information And Communication

The economic sectors of Jambi City meet 4 criteria. Based on the results of the analysis of the classical Tipologi by using the variable PDRB Jambi city as an analysis area and PDRB of Jambi Province as a reference area resulted in 11 potential economic sectors, 4 backward economic sectors, 1 superior economic sector and potential, 1 sector backward and developing. Potential economic sectors include: industrial processing, procurement of electricity and gas, water procurement, waste management, waste, construction, transportation and warehousing, provision of accommodation and eating, information and communication, real estate, corporate services, government administration, defence and compulsory social security, health services and social activities. The backward economic sectors are: agriculture, forestry, and fisheries, financial services sector and insurance, education services sector, other services. The superior and potential economic sectors are the large and retail sectors; Car repairs. The backward and growing economic sectors are the mining and excavation sectors. Based on the Location Quation sector analysis of the economic sector in Jambi city is: processing industries, electricity and gas procurement, water procurement, waste management, waste, large and retail trade; car repair, construction, transportation and warehousing, provision of accommodation and eating, information and communication, company services, government administration, defence and compulsory social security, health services and social activities. Non-agricultural bases, forestry, and fisheries, mining and excavation, financial services and insurance, education services, other services. Based on the analysis of Incremental Capital Output Ratio (ICOR) The economic sector which has high economic efficiency is mining and excavation, processing industry, construction, large and retail trade; car repair, financial services and insurance, other services. While low economic efficiency is a sector of agriculture, forestry and fisheries.

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