scholarly journals KAJIAN BASIS DAN PRIORITAS DALAM SEKTOR PERTANIAN BAGI PEMBANGUNAN WILAYAH PESISIR BENGKULU

2014 ◽  
Vol 13 (1) ◽  
pp. 44-50
Author(s):  
Melli Suryanty ◽  
. Sriyoto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Development Planning ◽  
Series Data ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Year 2000 ◽  
Agriculture Development ◽  
Share Value

The objectives of this research were to identify agriculture subsectors that can be the sector basis for the region development, and give information about priority scale of agriculture subsectors development in Bengkulu region development planning. This research used the secondary data gained from time series data from year 2000-2011. Analysis methods used in this research were sector contribution, location quotient, and shift share analysis. The results of the research showed that fishery subsector gave significant contribution for Bengkulu City PDRB. Fishery subsector became the basis and main priority of the agriculture development in year 2000-2011. This was shown from the biggest contribution value, location quotient value was greater than 1, and positive shift share value. The main priority of agriculture sector development is fishery, livestock, food plant, and estate subsector.    Keywords: Basic sector, agricultural sector, regional development.

scholarly journals IDENTIFICATION OF AGRICULTURAL SECTOR LEADING COMMODITIES IN MAGELANG DISTRICT

2020 ◽  
Vol 4 (2) ◽  
pp. 247-255
Author(s):  
Danta Paramartha ◽  
Mukson Mukson ◽  
Budi Adi Kristanto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Growth Patterns ◽  
Series Data ◽  
Agricultural Commodity ◽  
Sweet Potatoes ◽  
Location Quotient ◽  
Fast Growing ◽  
Central Java

Determination of leading commodities is needed to know the potential and prospective commodities that can be developed in an area. Leading commodities are expected to provide greater revenue compared to other commodities. This study aims to determine the leading agricultural subsector that has the potential to be developed as a driver of the economy in Magelang District. and analyze the trends in the growth patterns of subsector and leading agricultural commodities in the district. The method used in this study is descriptive method. The data used is time series data, namely secondary data from the GRDP of Magelang and Central Java Provinces in 2013-2017 and data on the amount of agricultural commodity production over a 7-year period (2011-2017). Data analysis tools used are Analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology Analysis.The results of the study shows that, horticultural plants, livestock, forestry and natural resources are base / leading subsectors of agricultural sector in Magelang District. The pattern and structure of the growth of the food crop subsector is among those that are rapidly developing, while the horticulture and livestock are among the advanced but depressed subsectors and the most advanced and fast growing food crops are sweet potatoes. On the other hand, the fast-growing group of horticultural commodities of vegetables are cabbage, cayenne pepper, tomatoes, cauliflower, cucumber, scallion, and carrots, whereas horticultural commodities in advanced and fast-growing fruit groups are rambutan and salak. In addition, the rapidly growing livestock commodities are cows, buffaloes, pigs, native chickens, and ducks. Finally the advanced but depressed commodities are goats and broilers.

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

scholarly journals Are male to female employment ratio and salary compensations in agricultural sector co-integrated?

2021 ◽  
Vol 258 ◽  
pp. 06041
Author(s):  
Evgenia Ezhak ◽  
Tatiana Podolskaya ◽  
Elizaveta Karagozova ◽  
Muhammad Imtiaz Subhani ◽  
Denis Ushakov
Keyword(s):  
Time Series ◽  
World Bank ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Female Employment ◽  
Series Data ◽  
Agriculture Sector ◽  
Yearly Period ◽  
Male To Female

This study has been conducted in order to identify whether there is the co-movements between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan. To analyze the possible co-movement between the Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan, the time series data for the yearly period of 1990 to 2020 for agriculture sector are taken from the publically available source i.e. website of World Bank. The result indicated that there is a long term relationship exists in between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan.

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

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 FAKTOR – FAKTOR YANG MEMPENGARUHI INVESTASI PEMERINTAH PADA SEKTOR PERTANIAN DI PROVINSI JAMBI

2017 ◽  
Vol 2 (2) ◽  
pp. 85
Author(s):  
Mulyani Mulyani
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Real Interest Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Series Data ◽  
Government Investment ◽  
Agriculture Sector

This research was conducted to analyse government investment in agriculture sector at Jambi Province. This research was held  on June - September 2017 by collecting data from several agencies. It used a time series data for 10 years (2006-2015).  This research  applied   multiple linear regression to  analyse the data. The results show that 95.9% of government investment in agriculture sector could  be  explained by  domestic  income variable, export-import growth of agriculture sector, real interest rate, rupiah exchange rate, previous government investment, and growth of agriculture sector. In fact the factors that had a significant effect were domestic  income variable, , export-import growth of agricultural sector, previous government investment and the growth of agriculture sector.Keywords: government investment, agricultural sector, growthPenelitian ini dilakukan untuk menganalisis investasi pemerintah pada sektor pertanian di Provinsi Jambi. Penelitian dilaksanakan di Provinsi Jambi dengan mengumpulkan data dari beberapa instansi terkait, yang dilaksanakan pada bulan Juni 2017 sampai September 2017. Dimana penelitian ini menggunakan data time series, dengan rentang waktu 10 tahun (2006-2015). Analisis data pada penelitian ini menggunakan regresi linear berganda. Hasil penelitian menunjukkan 95,9% penyerapan investasi pemerintah pada sektor pertanian dapat dijelaskan oleh variabel pendapatan asli daerah,pertumbuhan ekspor-impor sektor pertanian, tingkat suku bunga riil, nilai tukar rupiah, investasi pemerintah pada tahun sebelumnya, dan pertumbuhan sektor pertanian. Dari faktor-faktor tersebut yang berpengaruh signifikan adalah Pendapatan asli daerah, pertumbuhan ekspor impor sektor pertanian, investasi pemrintah pada tahun sebelumnya dan pertumbuhan sektor pertanian.Kata Kunci : investasi pemerintah, sektor Pertanian, pertumbuhan

scholarly journals Analysis of economic potential areas based on farming agricultural sector in the border area of Sangihe Island Regency

2021 ◽  
Vol 232 ◽  
pp. 01022
Author(s):  
Agustinus N. Kairupan ◽  
Conny Manoppo
Keyword(s):  
Sweet Potato ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Local Economy ◽  
Border Region ◽  
Agricultural Commodities ◽  
Food Crop ◽  
Location Quotient ◽  
Agriculture Sector

Various potentials and challenges in agricultural development in the border region are expected to managed and overcome properly. The participation of all parties, is needed to support this sector. The purpose of study was to determine the basic food crop agricultural commodities that have fast growth and competitiveness in the border region of North Sulawesi. This study uses analytical methods with secondary data. The data analysis determined changes in the structure or performance of the regional economy against higher economic structures (provincial or national) is the location quotient analysis (LQ). To determine the performance or productivity of the work of the local economy by comparing it with the larger using Shift Share Analysis (SSA). The results showed that the most superior commodity and the base in the Sangihe Islands Regency was sweet potato with the LQ value of 12.64, cassava 9.1and peanut 2.96. The results of the Shift Share analysis show that the six agricultural commodities of food crops (lowland rice, dry rice, cassava, sweet potato, peanuts) have not been able to growth in the food crop agriculture sector because it has slow growth.

scholarly journals ANALYSIS OF SUPERIOR CROPS LOCATION IN EAST JAVA, INDONESIA

2021 ◽  
Vol 21 (1) ◽  
pp. 51-58
Author(s):  
Hanifatus Sahro ◽  
S Chen ◽  
S Sujarwo
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Growth Patterns ◽  
Regional Economic Growth ◽  
Series Data ◽  
Green Beans ◽  
Location Quotient ◽  
Regional Economic

Regional development is an important aspect in improving the regional economy, and its relationship with the national economy. East Java Province is one of the regions with the most potential agricultural sector and is the highest national granary area in Indonesia. Maximizing the potential of the resources owned by East Java will accelerate the development process and increase the regional and national economy. For the economic growth,this study aims to examine the crops performance to estimate the pattern of regional economic growth in East Java. The time series data of East Java Central Bureau of Statistics from2008 to 2017 are adopted. The location quotient analysis and shift-share analysis with three indicators, namely regional economic growth, proportional shift growth, and differential shift, are used.The results showed that crops such as corn, green beans, peanuts, soybeans, rice, sweet potatoes, and cassava in 29 districts and 9 cities of East Java have crucial performance and economic growth patterns. As the results, to consider and identify priority policy plans to accelerate regional economic development and growth are suggested.

scholarly journals Tractorisation and Agricultural Development in India

2013 ◽  
Vol 8 (4) ◽  
pp. 285-292
Author(s):  
Komol Singha
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Green Revolution ◽  
Series Data ◽  
Correction Model ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Technological innovations have had profound effect on agricultural sector in the post-Green Revolution period in India. With the inception of Green Revolution, mechanisation process, especially the application of tractor in agriculture sector had intensified. However, in 2000s, the pattern of mechanization has diversified slightly from the intensive tractorisation to other implements like, irrigation, fertilizer, harvester, energy and others. Using a time series data on tractorisation and agriculture GDP for 43 years, co-integration regression method was employed to understand short run equilibrium between the variables. Further, the Error Correction Model (ECM) result showed that elasticities of mechanization were 10.4 percent and 0.52 percent for the long-run and the short-run respectively. It implies that a positive impact of mechanization on agriculture GDP was found both in the short run and long-run.

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

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