scholarly journals POTENSI DAN PROYEKSI EKONOMI MAKRO KOTA TANGERANG

Media Trend ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 99
Author(s):  
Lestari Agusalim
Keyword(s):  
Economic Growth ◽  
Quantitative Methods ◽  
Manufacturing Industry ◽  
Least Squares Method ◽  
Descriptive Analysis ◽  
Location Quotient ◽  
Business Services ◽  
Information And Communication ◽  
Projection Analysis ◽  
Current Price

<span>This study aims to analyse the potency and make a projection of the economy of Tangerang Municipality from 2014 to 2018. By doing so, the local government of Tangerang can use such information to formulate the appropriate policies to foster inclusive economic growth. This study is essential as Tangerang Municipality experienced a slow down in economic growth in 2014 compared to the previous year. This study uses quantitative methods namely Location Quotient (LQ) analysis, to identify leading sectors of the economy, and Least Squares Method, to make a projection of the economy. In addition, descriptive analysis is also used to briefly interpret the quantitative data and formulate policy recommendations. The results show that: (1) the leading sectors of Tangerang Municipality are manufacturing industry sector, transportation and warehousing sector, information and communication sector, and business services sector; (2) the projection analysis showed that in 2018, based on constant price and current price RGDP, Tangerang Municipality will experience positive economic growth. This will also be true for per capita RGDP. Moreover, inflation and open unemployment rate will decline.</span>

Linkages between Manufacturing Industry and Business Services

1982 ◽  
Vol 14 (11) ◽  
pp. 1523-1540 ◽  
Author(s):  
J N Marshall
Keyword(s):  
Economic Growth ◽  
Manufacturing Industry ◽  
Postal Survey ◽  
Regional Economic Growth ◽  
External Control ◽  
Urban Hierarchy ◽  
Business Services ◽  
City Regions ◽  
Spatial Differences ◽  
The Impact

Manufacturing industry demand for business services is examined in the British city regions of Birmingham, Leeds, and Manchester. A postal survey of selected industries considers the impact of a number of industrial and organisational determinants of spatial variations in manufacturing service demands. The study suggests that external control is not the only important predictor of service linkage; previous research has neglected the influence of spatial differences in the supply of services on the pattern of manufacturing industry demand. Research relating variations in the supply of business service activities to differences in regional economic growth is critically reviewed. It is suggested that the economic growth of provincial regions could be improved by expanding key services in selected provincial centres at differing levels of the urban hierarchy.

scholarly journals PENARAPAN LQ DAN SHIFT SHARE DALAM MENGUKUR PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN PERIODE TAHUN 2013-2017

2019 ◽  
Vol 11 (02) ◽  
pp. 83-97
Author(s):  
Muh Fuad Randy ◽  
Muh. Indra Fauzi Ilyas ◽  
Abdul Sumarlin
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Retail Trade ◽  
Construction Sector ◽  
Location Quotient ◽  
Processing Industry ◽  
Government Administration ◽  
The Third ◽  
South Sulawesi ◽  
Information And Communication

Testing the Application of Location Quotient (LQ) and Shift Share in Measuring Economic Growth in South Sulawesi Province for the 2013-2017 Period. Based on the fluctuating conditions of labor changes and the contribution of GDP to the structure of the economy in the provinces of South Sulawesi and Indonesia. The main problem in this study is; What is the economic growth of South Sulawesi province based on the shift share approach for the 2013-2017 period, what is the economic growth of South Sulawesi province based on the LQ approach for the 2013-2017 period, the results of the calculation of GRDP 2013-2017 that have been made can be concluded as follows; There are 8 (eight) sectors which are the base sectors including the first sector of agriculture, both water supply, waste management, waste and recycling, third construction, fourth information and communication, fifth real estate, sixth government administration, defense and social security, seven services Education, eight health services and social activities there are four sectors that have the advantage of the first, namely the agricultural sector, the second processing industry, the third construction sector, the fourth large and retail trade, car and motorcycle repair

scholarly journals Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

scholarly journals Kelayakan Investasi Perluasan Pabrik Penggilingan Plastik PD XYZ

2012 ◽  
Vol 3 (2) ◽  
pp. 803
Author(s):  
Hartiwi Prabowo
Keyword(s):  
Quantitative Methods ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Descriptive Analysis ◽  
Analysis Method ◽  
Quantitative Descriptive Analysis ◽  
Qualitative And Quantitative Methods ◽  
Qualitative Descriptive ◽  
Quantitative Descriptive ◽  
A Company

PD. PENGGILINGAN PLASTIK XYZ is a company engaged in the manufacturing industry. Recently, demands for products are increasing and the company finds it difficult to meet the demands. Therefore, the company wants to expand the factory to increase output of the products. The purpose of this study is to determine whether the expansion of businesses that want to run is well-worth in terms of financial and nonfinancial aspects. The research method used is descriptive qualitative and quantitative methods. Qualitative descriptive analysis method is used to analyze the legal, technical/operations, markets and marketing, management/organizational, economic, social and environmental impacts. Quantitative descriptive analysis method is used to analyze the financial aspects, the market and marketing. The results of the feasibility study of the factory expansion from the financial aspect refer to an optimistic scenario assumptions and moderate, and worthy to do. Similarly, the non-financial aspects, all aspects point out that the expansion of the factory is feasible to do. By this, the company is expected to maintain a stable supply of raw materials, because, if the supply of raw materials is interrupeted, the operation cannot run.

scholarly journals ANALISIS STRUKTUR PEREKONOMIAN DAN FAKTOR-FAKTOR YANG MEMENGARUHI PERTUMBUHAN EKONOMI SUMATERA SELATAN

2018 ◽  
Vol 2 (1) ◽  
pp. 47-59
Author(s):  
Indrayansyah Nur ◽  
Sri Mulatsih ◽  
Alla Asmara
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Manufacturing Industry ◽  
National Level ◽  
Government Expenditure ◽  
National Policy ◽  
Negative Influence ◽  
Positive Influence ◽  
Service Firms ◽  
Location Quotient

This study aims at analyzing the structure of the economic growth in the province of South Sumatera and the factors that influence the economic growth in the region. The method to analyze the economic structure is a regional economy approach using Location Quetiont (LQ) method and Shift Share (SS) Analysis. The National Share (NS) component indicates that the higher values are the sectors on mining and minerals, agriculture and manufacturing industry. Thus, those three sectors are strongly influenced by the change in national policy. The Industry Mix (IM) component indicates that the higher values are on the sectors on transportation and communication, construction and trade, and hotel and restaurant. That indicates that those three sectors have higher growth than other sectors. The Regional Share (RS) component indicates that agriculture is the dominant sector and therefore the most competitive sector compared to industries in the national level. It is also revealed that the progressive sectors during 2001-2005 are trading, hotel, restaurant, and construction and during 2005-2010 are service firms, finance, rental, trading, hotel, and restaurant. Using LQ analysis, the base sectors in South Sumatera during 2001-2010 are mining and minerals, agriculture, and construction. On the whole, the variables of PMA, PMDN, goverment expenditure and labor force simultaneously influence the PDRB as high as 85%. In partial view, PMDN, goverment expenditure and labor force have significant and positive influence toward PDRB, as indicated by a small probability value. Meanwhile, PMA has insignificant and negative influence toward PDRB.  Keywords: shift-share, location quotient, labor force, government expenditure

scholarly journals PENGEMBANGAN EKOWISATA DI KAWASAN WADUK KEULILING KECAMATAN KUTA COT GLIE KABUPATEN ACEH BESAR

2020 ◽  
Vol 3 (2) ◽  
pp. 138-147
Author(s):  
Maulidan Mahmud ◽  
Ashfa Achmad ◽  
Azmeri Azmeri
Keyword(s):  
Economic Growth ◽  
Development Strategy ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Group Discussion ◽  
Linear Regression Analysis ◽  
Total Sample ◽  
Reservoir Area ◽  
Local Economic Growth ◽  
The Government

The management of the Keuliling Reservoir area as a tourist attraction is still lacking the attention of the government so that it affects the decline in the quality of reservoir facilities and infrastructures such as parking areas, mushallas, bathrooms, gazebos, view towers, and children's pools. This study aims to model the factors of ecotourism development in reservoir areas against local economic growth, and to find ecotourism development strategies in reservoir areas. This research uses qualitative methods through observation and interviews, and quantitative methods through distributing questionnaires. Respondents in this study aimed at residents of Bak Sukon Village, with a total sample of 87 people. The statistical method used is descriptive analysis and multiple linear regression analysis using statistical software. The formulation of an ecotourism development strategy is carried out through a Focus Group Discussion (FGD), which consists of ten academics, community leaders, the private sector, and the community. The results showed that the model of ecotourism development factors in the Keuliling Reservoir area that influenced local economic growth in Bak Sukon Village were explanatory factors, improved facilities, ecotourism attractions, ecotourism access, ecotourism facilities, and service factors, with a regression model Y = 0.187X1 + 0,223X2 + 0,303X3 + 0,310X4 + 0,182X5 + 0,173X6. The strategy for developing ecotourism in the Keuliling Reservoir area is zoning, making local government policies, establishing an ecotourism management body, implementing ecotourism development, engaging community participation, and evaluating ecotourism area management activities.

scholarly journals STRATEGI PENGEMBANGAN USAHA KECIL MENENGAH SEKTOR INDUSTRI PENGOLAHAN KABUPATEN BEKASI

2020 ◽  
Vol 7 (2) ◽  
pp. 38-48
Author(s):  
Hari Sulistiyo ◽  
R. Aditya Kristamtomo Putra
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Development Strategy ◽  
Manufacturing Industry ◽  
Small And Medium Enterprises ◽  
Developed Countries ◽  
Index Number ◽  
Location Quotient ◽  
Medium Enterprises

The role of Micro, Small and Medium Enterprises or Small and Medium Enterprises (SMEs) in a country's economic growth is considered important. SMEs have a large and crucial contribution to the Indonesian economy. MSMEs have an important role in development and economic growth. The role of SME is not only felt in developing countries but also in developed countries. In developed and developing countries, MSME is very important, because it absorbs the most labor compared to large businesses. The contribution of MSMEs to the formation or growth of Gross Domestic Product (GDP) is greater than the contribution of large businesses. However, in reality the amount is inversely proportional to quality. Many MSME actors whose HR quality is still low, both in education and technology. The low quality of human resources has an impact on their productivity. This study aims to find out how the Development Strategy of Micro Small and Medium Enterprises in the Manufacturing Industry Sector in Bekasi District. The use of the Location Quotient (LQ) method is used to find out what business bases can be used by MSMEs based on LQ analysis calculations. The use of TOWS analysts deepens the discussion of what and how MSME strategies compete. From the LQ analysis calculation results it appears that Bekasi Regency, the processed industry business sector, is a leading sector with an LQ index number > 1. As we know, Bekasi Regency's economic strength is indeed sourced from the industrial sector. Furthermore, the SME development strategy is based on the TOWS analysis, with the characters in each of the different MSMEs. The strategies used include: SO (Strength Opportunities), ST (Strength Threat) strategy, WO (Weakness Opportunites) strategy and WT (Weakness Threat) strategy.

scholarly journals KINERJA DAN PERANAN SEKTOR PERTANIAN DALAM PEREKONOMIAN DI KABUPATEN BANTAENG

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rezky Amaliah ◽  
Mahyuddin Mahyuddin ◽  
Mujahidin Fahmid
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Population Data ◽  
Total Income ◽  
Location Quotient ◽  
South Sulawesi ◽  
Projection Analysis ◽  
Typology Analysis

ABSTRAKPembangunan ekonomi adalah suatu proses kenaikan pendapatan total dan pendapatan perkapita dengan memperhatikan adanya pertambahan penduduk dan disertai dengan perubahan fundamental dalam struktur ekonomi suatu negara. Sektor pertanian di Kabupaten Bantaeng merupakan salah satu sektor yang sangat potensial dalam memberikan sumbangan terhadap pertumbuhan dan pembangunan ekonomi di Kabupaten Bantaeng, baik dari segi pendapatan maupun penyerapan tenaga kerja. Penelitian ini bertujuan untuk: 1) Mengetahui kinerja sektor pertanian dalam perekonomian Kabupaten Bantaeng, 2) Mengetahui peran sektor pertanian dalam perekonomian di Kabupaten Bantaeng. Dalam penelitian ini, data yang digunakan adalah data sekunder PDRB Kabupaten Bantaeng Tahun 2013-2017 dan Provinsi Sulawesi Selatan 2013-2017, serta data kependudukan 2014-2017 dengan menggunakan 1) Analisis Location Quotient, 2) Analisis Shift Share, 3) Analisis Tipologi Klassen, 4) Analisis Elastisitas, 5) Analisis Proyeksi. Hasil penelitian menunjukkan bahwa: 1) Sektor pertanian merupakan sektor basis di Kabupaten Bantaeng dengan nilai LQ sebesar 1,5. Walaupun demikian sektor pertanian termasuk sektor yang ‘maju tapi tertekan’. Hasil analisis lainnya menunjukkan bahwa sektor pertanian memiliki keunggulan komparatif namun tidak memiliki keunggulan kompetitif serta pergeseran pertumbuhan ekonominya lebih lambat dibandingkan sektor lainnya. 2) Sektor pertanian mampu menyerap tenaga kerja sebesar 0,9% pada saat ekonomi daerah tumbuh 1%, sedangkan menurut proyeksi kesempatan kerja di sektor pertanian mengalami peningkatan rata-rata sebesar 4,64%.Kata Kunci: Sektor Basis; LQ; Shift Share; Tipologi Klassen.ABSTRACTEconomic development is a process of increasing total income and income per capita by taking into account the increase in population and accompanied by fundamental changes in the economic structure of a country. The agricultural sector in Bantaeng Regency is a very potential sector in contributing to economic growth and development in Bantaeng Regency, both in terms of income and employment. This study aims to: 1) Know the performance of the agricultural sector in the economy of Bantaeng Regency, 2) Know the role of the agricultural sector in the economy in Bantaeng Regency. In this study, the data used were secondary data from Bantaeng Regency GRDP 2013-2017 and South Sulawesi Province 2013-2017, as well as population data 2014-2017 using 1) Location Quotient Analysis, 2) Shift Share Analysis, 3) Klassen Typology Analysis , 4) Analysis of Elasticity, 5) Projection Analysis. The results of the study show that: 1) The agricultural sector is the base sector in Bantaeng Regency with an LQ value of 1.5. Nevertheless the agricultural sector is included in the sector which is 'advanced but depressed'. The results of other analyzes show that the agricultural sector has a comparative advantage but does not have a competitive advantage and the shift in economic growth is slower than other sectors. 2) The agricultural sector is able to absorb employment by 0,9% when the regional economy grows 1%, while according to the projections the employment opportunities in the agricultural sector have an average increase of 4.64%.  Keywords: Base Sector; Location Quotient; Shift Share; Typology Klassen.

scholarly journals MAPPING OF POTENTIAL AND ECONOMIC GROWTH PATTERNS IN REDUCING THE INEQUALITY OF THE MOJOKERTO DISTRICT REGION

2018 ◽  
Vol 1 (2) ◽  
pp. 116-123
Author(s):  
Mohammad Wasil ◽  
Mohammad Wahed
Keyword(s):  
Economic Growth ◽  
Manufacturing Industry ◽  
Agricultural Sector ◽  
Growth Patterns ◽  
Economic Sectors ◽  
Location Quotient ◽  
Services Sector ◽  
Industry Sector ◽  
Trade Sector ◽  
Communication Sector

The purpose of this study is to analyze what economic sectors are potential to be used as development priorities and patterns of economic growth in the economy of Mojokerto Regency. The method used is: Location Quotient, Shift Share, and Williamson Index. From the analysis of the location quotient that falls into the category of the base sector are Agriculture, Clean Water & Water Sector, Building Sector, Transportation & Communication Sector, Financial Sector, Corporate Leasing & Services, and Services Sector. And the results of the shift share analysis show that the sectors with the fastest growth are the agricultural sector, mining & quarrying sector, manufacturing industry sector, and the trade sector, and the services sector. While the results from Williamson study show that the sub-districts that have the highest level of inequality are in Mojosari sub-district, Pungging subdistrict, and Kemlagi sub-district

scholarly journals Faktor–Faktor yang Mempengaruhi Inflasi Provinsi di Sumatera

2020 ◽  
Vol 5 (2) ◽  
pp. 309
Author(s):  
Siswoyo Siswoyo ◽  
Asrini Asrini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study is to know and analyze inflationary developments, road infrastructure, government spending, provincial minimum wage and economic growth provincial in Sumatra. know and analyze the influence of road infrastructure, government spening, provincial minimum wage and economic growth provincial in Sumatra. This research uses descriptive analysis method to know the development of each research variables and quantitative methods by using panel data regression approach random effect. Based on the results of descriptive analysis of inflationary development fluctuate, road infrastructure stagnated and government spending,provincial minimum wage and economic growth incresed every year. While the result of regression of panel data with random effect approach variable of provincial minimum wage have positive and significant influence to inflation of provincial in sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra.

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