scholarly journals ANALISIS PERTUMBUHAN DAN PERGESERAN SRUKTUR EKONOMI KABUPATEN INDUK DI PROVINSI BENGKULU

2020 ◽  
Vol 2 (1) ◽  
pp. 54-69
Author(s):  
Sunoto Sunoto ◽  
Bertha Iin Esti Indraswanti ◽  
Edy Rahmantyo Tarsilohadi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Economic Performance ◽  
Time Series Data ◽  
Economic Structure ◽  
Series Data ◽  
Location Quotient ◽  
Dynamic Location ◽  
Secondary Time

The purpose of this research was to analyze economic growth and shifting of economic structure of the origin district in Bengkulu Province. Base on BPS secondary time series data (2001-2017), descriftive analysis was used to analyze economic growth and shifting economic structure, specialty after the region otonomous era (OTDA).  The DLQ and SSA method was used to determine the potential and leading sectors to increase economic performance. The result of this research was conclude that expansion of the the region in Bengkulu Provinsi has positif impact on economic development for the origin district. The economis structure was shifting from premier sector to secondary and tertier sector. The potential and leading sector after OTDA become more than before (from 4 or 5 sector to 7 untul 9 sector).  Keywords :  Dynamic Location Quotient 1, Shift Share Analysis 2, Economic Growth 3, Economic Structure 4, Potential and Leading Sector 5

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Bima Mulia ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Time Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Interregional Inequality ◽  
Dynamic Location ◽  
Underdeveloped Region

The imbalance of inter-regional economic development is a common phenomenon that occurs in the process of economic development of a region. This interregional inequality was originally caused by differences in natural resource content and differences in demographic conditions in each region. As a result of these differences, the ability of an area to increase economic growth and encourage the development process also becomes different. Therefore, it is not surprising that in every region there is usually a relatively developed region and a relatively underdeveloped region. This study aims to analyze how big the level of income inequality that occurs between regencies/cities in Banten Province. Identifying the base sector in each district/city in Banten Province, and predicting the base sector in the future in each Regency/City of Banten Province. Data used in this study is secondary data in the form of time series data to see Developments and changes that occur over a period of time. Data analysis used in this research is Location Quotient (LQ), Dynamic Location Quotient (DLQ), Williamson and Thiel Index. The results of this study are inequality that occurred in Banten is measured by using Williamson Index included in the category of Medium Inequality. On the measurement of Thiel Entropy Index, inequality in Lebak Regency is the lowest and Kota Cilegon has the highest imbalance in Banten Province.

INCOME EQUALITY IN A COURSE OF INDONESIAN DEVELOPMENT

2014 ◽  
Vol 59 (01) ◽  
pp. 1450006
Author(s):  
SUSUMU HONDAI
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Series Data ◽  
Income Equality ◽  
Left Behind ◽  
Long Run ◽  
Run Time

Indonesia has done remarkably well in the areas of both economic growth and poverty reduction. However, the economic situations differ significantly among Indonesian provinces. Some provinces have already developed well, while the rest have been left behind. The variation in the situations will generate a synthetic long-run time series data of economic development as a whole and enable us to find out when income equality starts to improve in a course of economic development.

scholarly journals Analisis Potensi Ekonomi Pada Sektor Dan Subsektor Pertanian, Kehutanan Dan Perikanan Di Kabupaten Tambrauw Tahun 2013 -2017

2019 ◽  
Vol 2 (2) ◽  
pp. 17-25
Author(s):  
Sisilia Maria Parinusa
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Competitive Advantage ◽  
Time Series Data ◽  
Research Result ◽  
Value Added ◽  
Series Data ◽  
Gdp Growth ◽  
Reference Area ◽  
Location Quotient

Agriculture, forestry and fishery sector has an important role in generating the economic growth in Tambrauw Regency. It can be seen from the amount of its contribution to the gross value added which is more that 33 percent. The aim of this study is to identify and analyse the potential subsector of agriculture, forestry and fisheries sector in Tambrauw Regency. By using Location Quotient (LQ) Method and Shift Share analysis and supported by a time series data of GDP growth between the study area and reference area in the recent five years the potential subsectors can be determined. The research result reveals that food plant, horticulture group and forestry and logging subsector are the potential subsectors to promote the regional income due to their location quotient greater than 1 and have positive competitive advantage values.

scholarly journals Evaluasi wilayah unggulan pengembangan kuda Sandelwood di Kabupaten Sumba Barat Daya Provinsi Nusa Tenggara Timur

2021 ◽  
Vol 19 (2) ◽  
pp. 149
Author(s):  
Melkianus Dedimus Same Randu ◽  
Ewaldus Wera
Keyword(s):  
Time Series ◽  
Population Growth ◽  
Quantitative Method ◽  
Local Community ◽  
Time Series Data ◽  
Series Data ◽  
Mapping Data ◽  
Location Quotient ◽  
Dynamic Location ◽  
Potential Area

<p class="MDPI17abstract"><strong>Objective: </strong>The Sandalwood Horse has economic, social, and cultural advantages to the local community in Southwest Sumba Regency. However, sandalwood horse development is experiencing obstacles due to the absence of base area mapping data. This research aims to identify the potential area for the development of the Sandalwood horse in Southwest Sumba Regency.</p><p class="MDPI17abstract"><strong>Methods: </strong>Descriptive quantitative method was used in this research. Time series data (2013-2018) was collected from related stakeholders in Southwest Sumba Regency. The Location Quotient (LQ), Dynamic Location Quotient (DLQ) and a combination of both LQ and DLQ analysis were applied to identify the potential area for the development of the Sandalwood horse. If the value of LQ and DLQ is more than 1, it means that the area/district could be recommended as a potential area for the development of the Sandalwood horse.<strong></strong></p><p class="MDPI17abstract"><strong>Results</strong><strong>: </strong>The result shows that of the 11 (eleven) districts in Southwest Sumba Regency, only 5 (five) districts (Wewewa Utara, Wewewa Barat, Wewewa Selatan, Wewewa Tengah, and Kodi Bangedo) could be recommended as the potential areas for development of sandalwood horses in the future, with an average LQ value ranging from 1.01 to 1.85 and DLQ ranging from 1.27 to 78.27.<strong></strong></p><strong>Conclusions: </strong>Southwest Sumba Regency has potential districts for the development of the Sandalwood horse. The sandalwood horse in the potential districts is a leading commodity that can fulfil the local needs of each sub-district and has a population growth above the average level in Southwest Sumba Regency.

scholarly journals Contracting Institutions, Property Rights and Economic Growth in the Post-90s Albania

2018 ◽  
Vol 14 (1) ◽  
pp. 176 ◽  
Author(s):  
Mario Curcija
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Property Rights ◽  
Time Series Data ◽  
Series Data ◽  
Significant Positive Effect ◽  
The Difference ◽  
Positive Effect

Economists often emphasize the role of institutions in order to explain the difference in wealth and development among different countries and in their researches they mark correlation between institution and economic development. This paper tests the validity of these models referring to Albania using time-series data from 1993 to 2015. There is evidence of significant positive effect of property rights on economic growth and credit to private sector, while there is evidenced insignificant impact of contracting institutions on economic outputs. A plausible explanation of these differences may be the different flexibility towards changes on property right institution rather than contracting institutions.

scholarly journals Asean dan Pembangunan Ekonomi Maritim Kepulauan Riau – Indonesia

2021 ◽  
Vol 1 (2) ◽  
pp. 16-27
Author(s):  
Akhirman Akhirman
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
World Bank ◽  
Time Series Data ◽  
The Philippines ◽  
Series Data ◽  
Brunei Darussalam ◽  
National Economic ◽  
Asean Countries

This study aims to find out the Maritime Economic Development of ASEAN Countries and Riau Islands - Indonesia. ASEAN which was established on August 8, 1967 through the Bangkok Declaration by Indonesia, the Philippines, Malaysia, Singapore, and Thailand. Then in 1984 he joined the State of Brunei Darussalam, in 1995 followed by the country of Vietnam, in 1997 the countries of Laos and Myanmar, and in 1998 joined the country of Cambodia. ASEAN in the Indonesian language known as Perbara or Perhimpunan Nations of Southeast Asia is a collaborative organization in the field of economy and geo-politics. The variables used in this study are Economic Growth, Export Rate. Inflation, and IPM. The data used is time series data, namely from 2014-2016. The analytical method used in this study is descriptive and econometric analysis. World Bank data, in 2017, predicts that there are three countries, namely Cambodia, Laos and Myanmar, which are predicted to have the most expansive economic growth after India in 2017-2019, and it is estimated that economic growth can reach 7%. while Indonesia in Quarter II 2017 grew 5.1 percent (BPS, 2017), while in 2013 it grew 5.58 percent. Riau Islands, a small town that captures part of NKRI in 2015 6.02 percent (yoy) economic growth, in the second quarter of 2017 must be willing with the lowest number two national economic growth, which is 2.02 percent which was the highest in Sumatra exceed national figures of 4.79 percent. (yoy). Suggestions given in this study include the need to think about a policy strategy that has potential economic areas to support sustainable export growth so that it can improve economic growth better.

scholarly journals Analisis Penentuan Sektor Unggulan Perekonomian di Kabupaten Kubu Raya

2015 ◽  
Vol 4 (2) ◽  
pp. 253 ◽  
Author(s):  
Hajeri Hajeri ◽  
Erlinda Yurisinthae ◽  
Eva Dolorosa
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Clean Water ◽  
Location Quotient ◽  
Processing Industry ◽  
Combined Analysis ◽  
Analysis Tools ◽  
Dynamic Location ◽  
Basic Price

This research intends to determine leading sectors in the Regency Kubu Raya. Leading sectorscan be determined by combining some analysis tools, such as: Typology Klassen, combinedLocation Quotient dan Dynamic Location Quotient,  Shift Share. Time series data is used in thisresearch, such as PDRB of Kubu Raya Regency and West Borneo Province from 2008 to 2013based on constant basic price. The result of this research showed that  leading sectors economy inKubu Raya Regency based on combined analysing from three analysis tools are transport andcommunications sector. Potential sector to be developed to become  leading sectors in the futureare processing industry, elictricity, gas, and clean water sector. Meanwhile, from the fiveagriculture sub sectors in Kubu Raya Regency based on combined analysis from the threeanalysis tools showed that livestock sub sector has potential to be developed to become a leadingsector economy in Kubu Raya Regency.

Considerations Affecting Indonesia's Economic Growth: Analysis of 2009-2018 Period

2018 ◽  
Vol 1 (2) ◽  
pp. 92-104
Author(s):  
Dyah Poespita Ernawati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Data Analysis ◽  
Direct Investment ◽  
Time Series Data ◽  
Foreign Debt ◽  
Series Data ◽  
Development Economic

This study aims to analyze several variables that affect the growth and decline of the Indonesian economy during the period 2009-2018. The variables that affect are limited to only three, namely FDI (Foreign Direct Investment) or foreign direct investment, exports, and foreign debt. Meanwhile, the variable that causes the decline is the failure to understand the development economic theory approach to fail to apply it in the field. The type of research used is explanatory research with a quantitative approach. The location of this research was conducted at the World Bank. This study's population is the entire time-series data from FDI, exports, foreign debt, and Indonesia's economic growth. The sampling technique collects time-series data for ten years (one decade), namely the years 2009-2018 so that there are 40 samples. The data analysis used is multiple linear regression analysis. The data analysis results in this study indicate that the variables consisting of FDI, exports, foreign debt simultaneously have a significant effect on Indonesia's economic growth. Partially FDI Indonesia's economic development is being impacted significantly. Indonesia's economic development is strongly driven by exports. The effect of external debt on Indonesia's economic growth is important.

scholarly journals Analisis Struktur Ekonomi dan Sektor Unggulan Kabupaten Aceh Besar

2019 ◽  
Vol 2 (1) ◽  
pp. 39-48
Author(s):  
Irwan Safwadi ◽  
Marah Sutan Rangkuti
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Economic Structure ◽  
Series Data ◽  
Economic Sectors ◽  
Resource Potential ◽  
Structure Changes ◽  
Aceh Province

Development policy through the optimization of local resource potential is a need that needs to be prepared in order to encourage the acceleration of regional economic growth. Identify changes in economic structure and determine the leading economic sectors including one of the efforts to accelerate the process of achieving economic growth. This study aims to analyze changes in economic structure and determine the leading economic sectors in Aceh Besar District. The data used is secondary data in the form of time series data (time series) Gross Regional Domestic Product (GRDP) of Aceh Besar Regency based on constant prices and GRDP of Aceh Province based on the constant price of 2012-2016. The analyzer used is Shift-Share. During the last five years, Aceh Besar's economic structure based on Shift-Share was only donated by Aceh Province by 19.60 percent. Furthermore, the industry mix contributed 17.89 percent. The leading economic sectors accounted for 62.50 percent of Aceh Besar economic structure changes. The result of Shift Share analysis shows that most of Aceh Besar Regency's economic sector is one of the leading sectors that grow fast in economy in Aceh Province. Only the electricity and gas procurement sector does not excel in Aceh Besar.

scholarly journals PEREMPUAN PADA SEKTOR EKONOMI UNGGULAN

Populasi ◽  
2009 ◽  
Vol 20 (1) ◽  
pp. 41-56
Author(s):  
Rika Harini
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Local Development ◽  
Descriptive Analysis ◽  
Series Data ◽  
Good Prospect ◽  
Location Quotient ◽  
Participation Level ◽  
High Participation ◽  
Secondary Time

The economically superior sectors are sectors with good prospect and they contribute to the local development. In other words, the sectors are those that win the competition with other sectors as clearly observed in its contribution to local income. This study aims to investigate the economically superior sectors and the participations level and the working productivity in Yogyakarta Special Regency. The study conducted by analyzing the secondary (time series) data obtained from Susenas and Sakernas. The descriptive analysis is using table and maping through model LQ (Location Quotient). The result shows that Sleman has 6 economically superior sectors while Gunung Kidul only has 3. A high participation level of women in the economically superior sectors is found in trading, hotel and restaurant sectors while the lowest participation level is found in mining sector (less than 1%).

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