Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

scholarly journals POTENSI TANAMAN PANGAN DAN PERKEBUNAN UNTUK PENGEMBANGAN WILAYAH KABUPATEN KEPAHIANG

2018 ◽  
Vol 11 (3) ◽  
pp. 22
Author(s):  
Siti Mutmaidah
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Domestic Product ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Analysis Tools ◽  
Plantation Crops

This study aims to determine the regional leading sector of Kepahiang Regency as the information and considerations in planning economic development. Secondary data such as time series of the Gross Regional Domestic Product (GRDP) of Kepahiang and Bengkulu in the period 2011-2014 are applied. Klassen Typology and Location Quotient (LQ) are tools of analysis. The results of the analysis based on two analysis tools indicate that the leading sector with the criterias developed, base, and competitive is agricultural sector. The results showed that the agricultural sector can be used as a leading sector in Kepahiang Regency with criteria of the advanced sector and grow rapidly and is the base sector. Seberang Musi Sub-district has the most potential for cultivation of food crops and plantations with 13 commodities that become the base sector. For the specialization of food crop base sector is Kaba wetan Subdistrict with 5 commodities with base criteria and for plantation crops Merigi and Seberang Musi subdistricts with 9 commodities crops.

scholarly journals Impact of Agricultural Financing on Nigeria Economy

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ayodele E. Ademola
Keyword(s):  
Economic Growth ◽  
Financial Institutions ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Macroeconomic Policies ◽  
Agricultural Finance ◽  
Ordinary Least Square ◽  
The Impact

The importance of agricultural surplus for the structural transformation accompanying economic growth is often addressed by development economists. In view of this, the study empirically assesses the impact of agricultural finance on the growth of Nigerian economy. This paper employed secondary data and econometric techniques of Ordinary Least Square (OLS) of multiple regression estimates. The result of the model used suggests that the productivity of investment will be more appropriately financed with resources administered by the commercial and specialized financial institutions. And also, that there are an urgent and sincere needs to expand the credit size to the agricultural sector in order to enhance the productivity growth of the sector. It is recommended that maintenance of credible macroeconomic policies that is pro-investment in overhauling the Agricultural Sector and debt-equity swap option are necessary for an agricultural-led economic growth.

scholarly journals The Analysis of the Effect of Determinant Factors of Palm Oil Plantation Sector on Agricultural Sector Growth in North Sumatera

2020 ◽  
Vol 3 (2) ◽  
pp. 1083-1094
Author(s):  
Ali Sandy Hasibuan ◽  
Fitrawaty Fitrawaty ◽  
M. Fitri Rahmadana
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Estimation Model ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
North Sumatra

This study aims to analyze the influence of the area of oil palm plantations, oil palm production, and the number of the agricultural sector workforce on the agricultural sector PDRB in North Sumatra province. The data used are secondary data sourced from BPS North Sumatra province, namely PDRB variable in the agricultural sector, area of oil palm, palm oil production and the number of agricultural sector workforce in North Sumatra province in time series from 2008 to.d. 2017 in five districts namely, Asahan, Langkat, Labuhanbatu Utara, Labuhanbatu Selatan and Labuhan Batu districts. Data analysis was performed using the OLS (Ordinary Least Square) method with a panel data regression estimation model using the help of Eviews 10. The results of this study simultaneously showed that changes in the independent variables of land area, production and the total workforce of the agricultural sector together influenced Agricultural Sector PDRB variable significantly. While partially concluded that the variable area of land and oil palm production had a positive and significant effect on the PDRB of the agricultural sector in North Sumatra province, while the variable labor force in the agricultural sector had a negative effect on the PDRB of the agricultural sector in North Sumatra province.

scholarly journals PEMBIAYAAN PERTANIAN DAN UPAYA MENINGKATKAN KESEJAHTERAAN PETANI: ANALISA DATA MAKRO

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Feryanto Feryanto
Keyword(s):  
Multiple Regression ◽  
Analytical Methods ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Relative Increase ◽  
Least Square ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Budget Increase

ABSTRAK Anggaran di sektor pertanian menunjukkan kenaikan yang relatif signifikan tahun 2004-2014, namun demikian peningkatan anggaran ini tidak diikuti dengan adanya perbaikan yang mendasar terhadap peningkatan kesejahteraan petani. Nilai Tukar Petani (NTP) sebagai indikator kesejahteraan petani menunjukkan bahwa kesejahteraan petani hanya berada pada kisaran 105. Oleh karena itu, penelitian ini bertujuan untuk menganalisis peranan dari pembiayaan di sektor pertanian terhadap kesejahteraan petani. Data yang digunakan ini adalah data sekunder periode tahun 2004-2014 (month to month) dan metode analisis menggunakan regresi berganda dengan pendekatan ordinary least square (OLS). Hasil penelitian ini menunjukkan bahwa pembiayaan pertanian memiliki peran untuk meningkatkan kesejahteraan petani, adapun komponen pembiayaan yang mempengaruhi kesejahteraan petani tersebut adalah kredit, subsidi pupuk, subsidi benih, dan PMA, sedangkan PMDN tidak berpengaruh signifikan. Kata kunci: Pembiayaan Pertaian, Kesejahteran Petani, NTP ABSTRACT Budget in the agricultural sector showed a significant relative increase in the period 2004-2014, however, the budget increase is not accompanied by an improvement in fundamental to improving the welfare of farmers. Term of trade of farmers (NTP) as an indicator of the welfare of farmers indicate that the welfare only in the range of 105. Therefore, the aimed of study to analyze the role of finance in the agricultural sector to the welfare of farmers. The data used are secondary data in the 2004-2014 periods (month to month), and analytical methods used are multiple regression with ordinary least square (OLS) approach. The results of this study indicate that agricultural financing has a role to improve the welfare of farmers, while the financial component that affects the welfare of farmers is a credit, fertilizer subsidies, seed subsidies, and FDI, whereas no significant effect on domestic investment. Keywords: Financing of Agriculture, Farmers Welfare, NTP 

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI ALIH FUNGSI LAHAN SAWAH KE NON SAWAH DI KABUPATEN SLEMAN DAERAH ISTIMEWA YOGYAKARTA

2017 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Annisa Titias Habibatussolikhah ◽  
Darsono Darsono ◽  
Susi Wuri Ani
Keyword(s):  
Linear Regression ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square ◽  
Land Area ◽  
Ordinary Least Square ◽  
Trust Level

The development of non-agricultural sector are increasingly in need of land. The land needs met by conversion of agricultural land to non-agricultural land. This research was aimed to examine the rate of the agriculture land (wet land) conversion and factors that determine the conversion in Sleman Regency. The basic method which used  was  descriptive  analytic.  Determination  of  the  research  location  was  using purposive method in Sleman regency. Method to analyze the data was double linear regression  (Ordinary  Least  Square).  The  data  which  used  in  this  research  was secondary  data  in  1984-2013  from  BPS,  BPN,  Bappeda,  and  DPUP  of  sleman regency.The result of this research shows that the conversion of wet land in Sleman regency happened in 1984-2013. Since 30 years, wet land area which convert to nonagricultural  area  was  4.496  Ha  or  150  Ha.  Wet  land  area  had  decreased  with  the growth  rate  0,608%  per  year.  Based  on  the  double  linear  regression  analysis (Ordinary Least Square) with 95% of trust level, it could be known the significance relation  between  wet land area  and the number  of  population, industry,  residential, road length, PDRB, and government policy. Individually, the area of agricultural land in sleman regency was influenced by the number of population, industry, residential, and PDRB.

scholarly journals Analisis peranan usaha kerajinan rumah tangga dalam rangka penyerapan tenaga kerja dan membangun masyarakat ekonomi kecil di Kabupaten Bantul

2020 ◽  
Vol 15 (1) ◽  
pp. 1-20
Author(s):  
Susianti Susianti
Keyword(s):  
Raw Materials ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Least Square ◽  
Primary Data ◽  
Economic Community ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Main Work

This study aims to analyze the role of folk/household handicraft businesses in the context of employment and building a small economic community through the analysis of factors affecting the income of household craftsmen in the Bantul Regency. Problems that are still encountered in the household handicraft business are related to business activities carried out traditionally and the scale of business is still limited. So this has an impact on the amount of product produced is still limited, and indirectly the level of income is still low. To increase production efforts means the factors that support it are needed. Data sources used are primary data and secondary data. The quantitative analysis used is multiple regression analysis with the Ordinary Least Square (OLS) method. Based on the results of descriptive analysis, the main reason that encourages the craftsmen to run a household handicraft business in Bantul Regency is the main work to obtain and add income to meet their needs. And the household handicraft business plays a role in employment in Bantul Regency by 13.69%. Meanwhile, based on the regression results, the variable of business capital and raw materials have positive and significant coefficients. Where business capital is the variable that has the most influence on the income of craftsmen household crafts in Bantul Regency.

scholarly journals Macroeconomic Variables and Nigerian Agricultural Sector Development

2021 ◽  
Vol 4 (4) ◽  
pp. 9-20
Author(s):  
Okafor O. ◽  
Isibor A.
Keyword(s):  
Exchange Rate ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Agricultural Industry ◽  
Macroeconomic Variables ◽  
Ordinary Least Square ◽  
Annual Time Series ◽  
The Interest Rate ◽  
The Impact

The study investigated the impact of some macroeconomic variables like exchange rate and inflation on the development of the Nigerian agricultural industry. Annual time series secondary data covering a period of 33 years (1986- 2020) was utilized in the study while the Ordinary Least Square (OLS) was the estimation technique used to analyze the data. Findings revealed that the exchange rate was positively significant in impacting the dependent variable while the inflation rate was negatively significant. The interest rate was insignificant in impacting the agricultural sector. From the findings, one recommendation arrived at was that the monetary authorities should make policies that would reduce inflation, for example, reduction of the money supply. Reduced inflation would positively impact the development of the agricultural sector as it would boost and increase the consumption of agricultural products.

scholarly journals The Study of Leading Subsector and Leading Commodities of Agricultural in Anambas Islands Regency, Riau Islands Province

Agro Ekonomi ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 49
Author(s):  
Marina Marina ◽  
Dwidjono Hadi Darwanto ◽  
Masyhuri Masyhuri
Keyword(s):  
Sweet Potato ◽  
Environmental Sustainability ◽  
Secondary Data ◽  
Food Crops ◽  
Agricultural Commodity ◽  
Water Spinach ◽  
Location Quotient ◽  
Fast Growing ◽  
Production Value ◽  
Plantation Crops

Indonesian government is currently implementing regional development emphasizing on the characteristic and potential strength of each region. This program will be more optimal if conducted based on the introduction of the leading potential along with its use by maintaining the environmental sustainability. This research is aimed to (1) identify the basis/leading and non-basis/non-leading of agricultural sub-sector and its commodities; (2) to classify the pattern of sub-sector growth and agricultural commodities. The data used was time series consisting of secondary data from Anambas Islands Gross Regional Domestic Product (GRDP) in accordance with the basic constant price in 2010 and the production value data of agricultural commodity during 2010-2015. The data analysis by Location Quotient (LQ) and Typology Klassen method. The analysis result shows that the sub-sectors of food crops, plantation, and fishery are the basis sub-sector (LQ > 1). The commodities of wetland paddy, sweet potato, mustard, water spinach, spinach, pineapple, banana, coconut, clove, cow (cattle) and kampong chicken are the basic commodities (LQ > 1). According to the analysis of Klassen Typology, the sub-sectors of food crops and plantation crops are included in leading and fast-growing classification (rik  > riand Yik> Yi), while the commodities of wetland paddy, sweet potato, mustard, spinach, and coconut are included in the leading and fast-growing commodities.

scholarly journals Leading Commodities of Food Crops and Plantation Subsector in Pinrang District

Agriekonomika ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 7
Author(s):  
St Aisyah Ramli ◽  
Sitti Khadijah Yahya Hiola
Keyword(s):  
Secondary Data ◽  
Data Sources ◽  
Primary Data ◽  
Food Crops ◽  
Food Crop ◽  
Location Quotient ◽  
Base Area ◽  
South Sulawesi ◽  
Plantation Crops ◽  
Farmer Income

<p>This study aims to determine the food crop and plantation subsectors which are the leading subsectors in Pinrang District. The determination analyzed using the Location Quotient method which produces commodities classified as a base or non-base commodities which can contribute to increasing farmer income and regional income. The data sources used are primary data from interviews with farmers while secondary data on food crop and plantation production in Pinrang District for five years (2013-2017) were obtained from the Agriculture Service and BPS of Pinrang District. The results show thatthe food crop subsector is a base commodity and is very potential, namely wetland paddy and maize which have a base area in five sub-districts in Pinrang District. Whereas in the plantation sub-sector which is the basis, namely coconut, coffee, and cocoa, although the highest LQ value is in coffee commodities in Lembang subdistrict. Thus, commodities in the food crops and plantation sub-sectors are basic commodities that are worth developing. Pinrang District is one of the rice barns in South Sulawesi, which holds the position of Pinrang District as a potential producer of food crops. In addition to wetland paddy, other food crops produced are maize and beans. The most dominant plantation crops in Pinrang District are coconut, coffee, and cocoa, which are excellent crops.</p>

scholarly journals Regional Potential Analysis Based on Agricultural Commodities of Food Crops and Their Contribution to the Economy in the Karangsambung-Karangbolong Geopark Area, Indonesia: A Location Quotient Approach

2021 ◽  
Vol 325 ◽  
pp. 08008
Author(s):  
Rika Harini ◽  
Rina Dwi Ariani ◽  
Bowo Susilo ◽  
Evita Hanie Pangaribowo
Keyword(s):  
Agricultural Sector ◽  
Secondary Data ◽  
Poverty Rate ◽  
Food Crops ◽  
Food Crop ◽  
Sweet Potatoes ◽  
Location Quotient ◽  
Strength Criteria ◽  
Commodity Production ◽  
Potential Food

The Karangsambung-Karangbolong Geopark Area is located in Kebumen, one of the districts with the highest poverty rate in the Province of Jawa Tengah, Indonesia. A regional economy can be improved by optimizing existing potentials in the agricultural sector, especially food-crop commodities. This research set out to determine 1) the basic or leading food crops per sub-district, (2) the relatively potential food crops to maintain, and 3) the rating of the carrying capacity of facilities in maintaining relatively potential commodities. This research used secondary data from the BPS-Statistics Indonesia, such as food-crop commodity production and infrastructure conditions. It employed the Location Quotient (LQ) method, the LQ’s strength criteria analysis and scalogram. The analysis results showed that each sub-district has distinct basic commodities, but rice, cassava and sweet potatoes were the best potential commodities to develop. The Karangsambung-Karangbolong Geopark Area is equipped with facilities and infrastructure with fairly good to good carrying capacities supporting the development of the three commodities.

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