EVALUASI PERGESERAN STRUKTUR EKONOMI KOTA BENGKULU

2021 ◽  
Vol 2 (2) ◽  
pp. 103-117
Author(s):  
Sunoto Sunoto ◽  
Bertha Iin Esti Indraswanti
Keyword(s):  
Time Series Data ◽  
Economic Structure ◽  
Series Data ◽  
The Real Estate ◽  
Data Usage ◽  
Real Estate Sector ◽  
Food And Drink ◽  
Second Period ◽  
Employment Data ◽  
Secondary Time

The purpose of this research was to evaluate the shifting of economic structure of  Bengkulu City. Base on BPS secondary time series data (2011-2019), descriftive analysis was used to evaluate the shifting economic structure. The result of this research was concluded that the economis structure was gradually shifting in secondary and tertier sector. The different variable and the amount of data usage in this analysis had different result in leading sectors. The first periods of 2014-2017, Bengkulu City has 10 leading sectors, and the second period of this research become 7 sectors. It was used PDRB data, and become 4 leading sectors when employment data used merely. When the data of PDRB and employment was combined to analyze the Bengkulu City leading sector, it’s just become 3 sectors. So the economy of Bengkulu City was dominated by the Providing Accommodation, Food and Drink sector, the Real Estate sector and the Education Sector.

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 Optimalisasi Ekspor Produk Ekonomi Kreatif Indonesia Menuju Peningkatan Dayasaing

2020 ◽  
Vol 2 (3) ◽  
pp. 273-284
Author(s):  
Sugiyono Madelan
Keyword(s):  
Time Series ◽  
Research Method ◽  
Time Series Data ◽  
Education Level ◽  
Series Data ◽  
Creative Economy ◽  
Labor Costs ◽  
Fashion Products ◽  
Export Competitiveness ◽  
Secondary Time

Indonesia’s creative economy product exports have not been optimal. The purpose of this study is to optimize the goals of creative economic development in Indonesia. This research was conducted using secondary time series data for the period 2010-2017. The research method uses linear programming and goal programming. The results showed that exports of creative economy products responded to an increase in export selling prices based on the demand behavior of the exports of creative economy products. The factor of export competitiveness of Indonesia’s creative economy products lies in the use of cheaper labor costs. Exports of creative economy products do not automatically increase, if the education level of the workforce increases, but rather comes from an increase in creativity. Fashion products are efficient products compared to producing exports of craft products and culinary products. Finally, the development of the creative economy is more optimal for the purpose of increasing exports of creative economy products than for the purpose of increasing employment, namely by producing fashion products.

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 Confirmed and Unreported COVID-19-Like Illness Death Counts: An Assessment of Reporting Discrepancy

2020 ◽  
Author(s):  
Mazbahul G Ahamad ◽  
Fahian Tanin ◽  
Byomkes Talukder
Keyword(s):  
Seasonal Influenza ◽  
Time Series Data ◽  
Statistical Tests ◽  
Data Driven ◽  
Series Data ◽  
Response Strategies ◽  
Pandemic Response ◽  
Reporting Discrepancy ◽  
Death Count ◽  
Secondary Time

Objective: To assess the reporting discrepancy between officially confirmed COVID-19 death counts and unreported COVID-19-like illness (CLI) death counts. Study Design: The study is based on secondary time-series data. Methods: We used publicly available data to explore the differences between confirmed COVID-19 death counts and deaths with probable COVID-19 symptoms in Bangladesh between March 8, 2020, and July 18, 2020. Both tabular analysis and statistical tests were performed. Results: During the week ending May 9, 2020, the unreported CLI death count was higher than the confirmed COVID-19 death count; however, it was lower in the following weeks. On average, unreported CLI death counts were almost equal to the confirmed COVID-19 death counts during the study period. However, the reporting authority neither considers CLI deaths nor adjusts for potential seasonal influenza-like illness or other related deaths, which might produce incomplete and unreliable COVID-19 data and respective mortality rates. Conclusions: Deaths with probable COVID-19 symptoms needs to be included in provisional death counts in order to estimate an accurate COVID-19 mortality rate and to offer data-driven pandemic response strategies. An urgent initiative is needed to prepare a comprehensive guideline for reporting COVID-19 deaths.

Normalisation of the Speculative Frame Method and Its Application to the Housing Market in Poland

2021 ◽  
Vol 8 (1) ◽  
pp. 36-46
Author(s):  
Justyna Brzezicka ◽  
◽  
Radosław Wisniewski ◽  
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Time Series Data ◽  
Real Estate Market ◽  
Series Data ◽  
Data Sets ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Frame Method ◽  
Real Estate Prices

This article proposes the normalisation of the speculative frame method for identifying real estate bubbles, price shocks, and other disturbances in the real estate market. This index-based method relies on time series data and real estate prices. In this article, the speculative frame method was elaborated and normalised with the use of equations for normalising data sets and research methodologies. The method is discussed on the example of the Polish housing market.

scholarly journals Co-Movement between Tourist Arrivals of Inbound Tourism Markets in South Korea: Applying the Dynamic Copula Method Using Secondary Time Series Data

2021 ◽  
Vol 13 (3) ◽  
pp. 1283
Author(s):  
Ki-Hong Choi ◽  
Insin Kim
Keyword(s):  
Time Series ◽  
South Korea ◽  
Time Series Data ◽  
Tail Dependence ◽  
Tourism Industry ◽  
Series Data ◽  
Dynamic Copula ◽  
Source Countries ◽  
Secondary Time ◽  
Dependence Structures

Tourism demand is severely affected by unpredicted events, which has prompted scholars to examine ways of predicting the effects of positive and negative shocks on tourism, to ensure a sustainable tourism industry. The purpose of this study was to investigate if non-linear dependence structures exist between tourist flows into South Korea from five major source countries, as South Korea has undergone fluctuations in tourist arrivals due to diverse circumstances and has complex relations with tourism source countries. Additionally, the study examines the structures of extreme tail dependence, which is indicated in the case of unexpected events, and identifies how co-movements vary over time through dynamic copula–GARCH (generalized autoregressive conditional heteroskedasticity) tests. The secondary time series data for the 2005–2019 period of tourist arrivals to Korea were derived from the Korea Tourism Knowledge and Information System for testing the copula models. The copula estimations indicate significant dependencies among all market pairs as well as the strongest dependence between China and Taiwan. Moreover, extreme tail dependence structures show co-movements for four pairs of tourism markets in only negative shocks, for five pairs in both positive and negative conditions, but no co-movement in the China–Taiwan pair. Finally, the dynamic dependence structures reveal that the China–Taiwan dependence is higher than the other time-varying dependence structures, implying that the two markets complement each other.

scholarly journals DAYA SAING EKSPOR PALA INDONESIA DI PASAR INTERNASIONAL

2019 ◽  
Vol 33 (2) ◽  
pp. 179-188
Author(s):  
Asrol Asrol ◽  
Heriyanto Heriyanto
Keyword(s):  
Time Series Data ◽  
International Market ◽  
World Market ◽  
Series Data ◽  
Maturity Stage ◽  
Composition Effects ◽  
Average Value ◽  
The World ◽  
Constant Market Share ◽  
Secondary Time

Indonesia is one of the largest producing and exporting countries for nutmeg commodities in the world market. Indonesia as a nutmeg exporting country is a country that imports nutmeg products. Nutmeg is one of Indonesia's leading spice export commodities on the world market. Based on the description in general, this study aims to analyze the competitiveness of Indonesian nutmeg in the world market. Specifically, this study aims to analyze the export position of nutmeg and the competitiveness of Indonesian nutmeg in the international market. The power used in this study is secondary time series data from 2007-2016. To answer the research objectives, it was analyzed using the Trade Specialization Index (ISP), Revealed Comparative Advantage (RCA) and Constant Market Share (CMS). Based on the results of the study indicate that for the position of Indonesian nutmeg exports on the world market, the average value of Indonesian ISPs on the world market from 2007-2016 was 0.988. This value indicates that the position or stage of Indonesian nutmeg export is at the maturity stage with an indicator value (0.81-1.00). Furthermore, the competitiveness of the results of the average Indonesian nutmeg RCA value on the international market which is calculated from 2007-2016 reached 19,554 because the value of Indonesian nutmeg RCA is greater than one, so Indonesia has a strong competitiveness in the export of nutmeg in the world and tends to be a country exporter rather than importer. For the CMS value of Indonesian nutmegs in the last five years period is negative on the standard growth, composition effects, and market distribution effects but the positive value on the effect of competitiveness.

scholarly journals Study komperasi struktur ekonomi Negara ASEAN

2020 ◽  
Vol 9 (1) ◽  
pp. 37-50
Author(s):  
Syaparuddin Syaparuddin ◽  
Selamet Rahmadi ◽  
Yusnita Yusnita
Keyword(s):  
Service Sector ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Economic Structure ◽  
Industrial Sector ◽  
The Philippines ◽  
Series Data ◽  
Brunei Darussalam ◽  
Asean Countries

This study aims to analyze: 1) changes in the economic structure of ASEAN countries; 2) comparison of the economic structure of ASEAN countries. The data used in this research is secondary data which includes 2000-2016 time-series data and 10 countries cross-sections. Based on the results of the analysis, it shows that changes in the economic structure of ASEAN countries from 2000 to 2016 fluctuated each year. It can be seen from the GDP data on the average contribution of sectors based on business fields and based on shifting sub-sectors, namely the agricultural sector, the industrial sector, and the service sector. From the economic structure of ASEAN countries apart from (Singapore) for the agricultural sector, the largest contribution was Myanmar 40.55%, and the lowest contribution was Brunei Darussalam 0.89%. For the industrial sector, the largest contribution was Brunei Darussalam 66.79%, and the lowest contribution was Myanmar 23.22%. The service sector with the largest contribution was the Philippines at 54.91%, and the lowest contribution was Brunei Darussalam 32.31%. Keywords: Leading sector, Shift-share, Economic Structure, GDP

scholarly journals ARFIMA Modelling for Tectonic Earthquakes in The Maluku Region

2021 ◽  
Vol 5 (1) ◽  
pp. 39-49
Author(s):  
Ferry Kondo Lembang ◽  
Lexy Janzen Sinay ◽  
Asrul Irfanullah
Keyword(s):  
Long Memory ◽  
Time Series Data ◽  
Series Data ◽  
Earthquake Intensity ◽  
The Third ◽  
Tectonic Earthquakes ◽  
History Of ◽  
Arfima Model ◽  
Second Period

Maluku Province is one of the regions in Indonesia with a very active and very prone earthquake intensity because it is a meeting place for 3 (three) plates, namely the Eurasian, Pacific and Australian plates. In the last 100 years, the history of tectonic earthquakes with tsunamis that occurred in Indonesia was 25-30% occurring in the Maluku Sea and Banda Sea. Based on this fact, this study aims to analyze the incidence of tectonic earthquakes that occurred in the Maluku region and its surroundings using the Autoregressive Fractionally Integrated Moving Averages (ARFIMA) model which has the ability to explain long-term time series data (long memory). The results of the research data analysis show that the best model for predicting the number of tectonic earthquakes that occur in Maluku and its surroundings is ARFIMA (0; 0.712; 1) with an MSE value of 0.1156. Meanwhile, the best model for predicting the average magnitude of the number of tectonic earthquakes that occurred in Maluku and its surroundings is ARFIMA (0; -3,224 x 10-9; 1) with an MSE value of 0.01237. Based on the two best models, the prediction results obtained from the number of tectonic earthquakes and the average magnitude of the number of tectonic earthquakes that occurred in Maluku and its surroundings for the next three periods, namely the first period there were 31 tectonic earthquakes with an average magnitude of 4.38481 SR. the second period there were 32 tectonic earthquakes with an average magnitude of 4.38407, and the third period there were 32 tectonic earthquakes with an average magnitude of 4.38333.

scholarly journals Dampak Perubahan Pendapatan Perkapita Terhadap Perubahan Struktur Ekonomi Provinsi Daerah Istimewa Yogyakarta

2018 ◽  
Vol 22 (1) ◽  
pp. 19
Author(s):  
Sugeng Purwanto ◽  
Sugiharti Mulya Handayani
Keyword(s):  
Time Series ◽  
Capita Income ◽  
Time Series Data ◽  
Economic Structure ◽  
Research Data ◽  
Series Data ◽  
Per Capita Income ◽  
Tertiary Sector ◽  
Per Capita ◽  
Special Region

The objective of this research to analyze the effect of change in per capita income to the change in economic structure. The research using time series data for 10 years (1994-2003) with 1993 as the basic year. The data used in this research are The Special Region of Yogyakarta Gross Regional Domestic Product data, The spesial Region of Yogyakarta Export Value data, per capita income, labor data and other relevant data which support the research. Data was collected from Yogyakarta Central Bureau Of Statistic (BPS) and other relevant sources. The data was analyzed using regression analysis. The result of this research showed that primary sector are no longer as the primer sector of Special Region of Yogyakarta and a leap of economics structural changing from primary to tertiary sector.

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