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 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

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.

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals ANALISIS POTENSI SEKTOR BASIS DAN NON BASIS KOTA SABANG TAHUN 2013-2019

2020 ◽  
Vol 6 (1) ◽  
pp. 89-104
Author(s):  
Ferry Setiawan
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Quadrant Analysis ◽  
Location Quotient ◽  
Strong Growth ◽  
Aceh Province ◽  
Dynamic Location ◽  
Index Value ◽  
Regional Product

The success of a region in improving its economy can be measured by the growth of  Gross Domestic Regional Product (GDRP) from various existing sectors. This Gross Domestic Regional Product (GDRP) growth occurs if the region has a leading sector or a basic sector whose growth rate is relatively fast and has strong competitiveness and a non-basic sector that has the opportunity to become a basic sector if the local government is able to condition the opportunities that exist into an optimal result. This study uses secondary data obtained from the Central Statistics Agency (BPS) of Aceh Province in the form of time series data for 7 years, namely the 2013-2019 period. This research was conducted to identify the basic and non-basic sectors in the economic structure of the City of Sabang for the period 2013 - 2019 using the LQ (location quotient) analysis method, the Dynamic Location Quotient (DLQ) method, Shift Share Analysis, and quadrant analysis. 10 basic sectors with the highest average index value SLQ ≥ 1 and 7 sectors which are non-basic sectors with index numbers <1. In the quadrant analysis from the results of the existing Shift-Share calculations, there are 3 sectors in Quadrant I with fast and strong growth,3 sectors in Quadrant II with slow and strong growth, and 11 sectors in Quadrant III with fast growth but have weak competitiveness

scholarly journals Kluster Tanaman Pangan Unggulan di Provinsi Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Food Plants ◽  
Series Data ◽  
Food Crops ◽  
Food Crop ◽  
Land Area ◽  
Location Quotient ◽  
Central Java ◽  
Central Java Province

The food crop sector has an important role for regions in Indonesia. Food plants can be a determinant for an area in meeting the needs of the people in that area. In addition, the food crop sector, if developed, can become revenue for the region. This study aims to analyze the leading food plants in 35 districts / cities in Central Java Province. By using the location quotient (LQ) method and the Regional Specialization Index. The data used is time series data from 2014 to 2019 in 35 districts / cities in Central Java Province for food crops based on land area and production. The results obtained for the average LQ value of food crops based on land area, there are only 12 districts / cities which are the basis for superior food crops with Wonogiri Regency at the top. Meanwhile, based on the average LQ value based on production, only 11 districts / cities are the basis for superior food crops with Semarang Regency being the top. For the specialization index based on both land area and production, there is no Regency / City that specializes in Central Java Province.   Keywords: Foodcrop Sector, Location Quotient, Specialization Index, Central Java   Abstrak   Sektor tanaman pangan mempunyai peranan penting bagi daerah di Indonesia. Tanaman pangan dapat menjadi penentu bagi suatu daerah dalam memenuhi kebutuhan masyarakat yang ada di daerah tersebut. Selain itu, sektor tanaman pangan jika dikembangkan dapat menjadi pendapatan bagi daerah. Penelitian ini bertujuan untuk menganalisis tanaman pangan unggulan yang ada di 35 Kabupaten/Kota pada Provinsi Jawa Tengah. Dengan menggunakan metode location quotient (LQ) dan Indeks Spesialisasi Regional. Data yang digunakan adalah data time series selama tahun 2014 hingga tahun 2019 pada 35 Kabupaten/Kota di Provinsi Jawa Tengah untuk tanaman pangan berdasarkan luas lahan dan produksi. Hasil yang diperoleh untuk nilai rata – rata LQ tanaman pangan berdasarkan luas lahan, hanya terdapat 12 Kabupaten/Kota yang menjadi basis bagi tanaman pangan unggulan dengan Kabupaten Wonogiri berada di urutan teratas. Sementara berdasarkan nilai rata – rata LQ berdasarkan produksi, hanya 11 Kabupaten/Kota yang menjadi basis tanaman pangan unggulan dengan Kabupaten Semarang menjadi urutan teratas. Untuk indeks spesialisasi baik berdasarkan luas lahan dan produksi, tidak ada Kabupaten/Kota yang mempunyai spesialisasi terhadap Provinsi Jawa Tengah.   Kata kunci: Tanaman Pangan, Indeks Lokalisasi, Indeks Spesialisasi, Jawa Tengah

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.

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 IDENTIFIKASI KOMODITAS UNGGULAN WILAYAH DALAM PERSPEKTIF PERTANIAN BERKELANJUTAN DI SULAWESI TENGGARA

2018 ◽  
Vol 7 (2) ◽  
pp. 92
Author(s):  
Zainal Abidin
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Agricultural Commodity ◽  
Location Quotient ◽  
Cashew Nut ◽  
Native Chicken ◽  
Long Time ◽  
Cocoa Plantation ◽  
Research Show

Developing of agricultural commodity at Southeast Sulawesi have specific ficture base on natural resources. The research was conducted to know the commodity that have sustainable competitifnes. Research was done using time series data 2010 – 2016 and analize with Location Quotien (LQ) dan Dinamic Location Quotient (DLQ) methode. The result of research show that food commoditeis that have become the sustaibnable bases commodity are corn, peanut and cassava, besides that rice and soybean only can became shor-term bases commodity. Livestock commodities such us sow, goat,  native chicken and rusting hens broiler also can became bases commodity for a long time in several regencies. Even that clove, cashew nut, coconut, pepper and cocoa plantation can became the bases of commodities in several regencies such us Buton, Muna, Konawe Selatan, Kolaka Utara, Konawe Utara, Kendari dan Bau-Bau. Horticulture commodities such us chili pepper, zingeber and orange also can became sustainable bases commodities. So developing that commoditeis should be have policy supporting such us kredit regulation, infrasctukture and also aplicatif and simple technologies.

scholarly journals Relationships among Carbon Emissions, Economic Growth, Energy Consumption and Population Growth: Testing Environmental Kuznets Curve Hypothesis for Brazil, China, India and Indonesia

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Wahid Murad ◽  
Abu Hanifa Md. Noman ◽  
Ilhan Ozturk
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run

This study examines the impacts of income, energy consumption and population growth on CO2 emissions by employing an annual time series data for the period 1970-2012 for India, Indonesia, China, and Brazil. The study used the Autoregressive Distributed Lag (ARDL) bounds test approach considering both the linear and non-linear assumptions for related time series data for the top CO2 emitter emerging countries in both the short run and long run. The results show that CO2 emissions have increased statistically significantly with increases in income and energy consumption in all four countries. While the relationship between CO2 emissions and population growth was found to be statistically significant for India and Brazil, it has been statistically insignificant for China and Indonesia in both the short run and long run. Also, empirical observations from the testing of environmental Kuznets curve (EKC) hypothesis imply that in the cases of Brazil, China and Indonesia, CO2 emissions will decrease over the time when income increases. So based on the EKC findings, it can be argued that these three countries should not take any actions or policies, which might have conservative impacts on income, in order to reduce their CO2 emissions. But in the case of India, where CO2 emissions and income were found to have a positive relationship, an increase in income over the time will not reduce CO2 emissions in the country.

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