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

Author(s):  
Feryanto Feryanto

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 

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo

<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>


2019 ◽  
Vol 4 (1) ◽  
pp. 44-46
Author(s):  
Wilson Bangun

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if  to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi  +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of  the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce,  sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.


Author(s):  
Ayodele E. Ademola

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.


Author(s):  
Ali Sandy Hasibuan ◽  
Fitrawaty Fitrawaty ◽  
M. Fitri Rahmadana

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.


2019 ◽  
Vol 7 (2) ◽  
pp. 83-100
Author(s):  
Rosminah Rosminah ◽  
Rahma Nurjanah ◽  
Etik Umiyati

Investment (PMDN) and government expenditures have on economic growth in Sarolangun Regency. The type of data used is secondary data in the form of time series data for 2000-2017, in the form of data on economic growth, the number of workers, PMDN, and government spending. The analytical method used in this study is multiple linear regression or Ordinary Least Square (OLS). Based on the analysis results indicate that the workforce has a positive and significant effect on economic growth. PMDN has a positive and significant effect on economic growth. Likewise, government spending has a positive and significant effect on economic growth. Keywords: Economic growth, Labor, Domestic investment (PMDN), Goverment expenditure.


2017 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Annisa Titias Habibatussolikhah ◽  
Darsono Darsono ◽  
Susi Wuri Ani

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.


2020 ◽  
Vol 15 (1) ◽  
pp. 1-20
Author(s):  
Susianti Susianti

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.


2020 ◽  
Vol 12 (1) ◽  
pp. 137-145
Author(s):  
Herman Kambono ◽  
Elyzabet Indrawati Marpaung

Abstract This study aims to analyze the effect of Foreign Investment and Domestic Investment on the Indonesian Economy. The data used is Indonesian macroeconomic time series data. In the next stage, the analysis was carried out using quantitative methods including: Ordinary Least Square (OLS) Regression Method with Multiple Regression models, and the Coefficient ofDetermination (R2).As for the results of this study later, it can be seen how much influence the independent variable has on the dependent variable. And how big is the percentage of the variation of the independent variable to the dependent variable or the dependent variable   Keywords: Domestic Investment, Foreign Investment and the Economy Indonesia.   Abstrak Penelitian ini bertujuan untuk menganalisis pengaruh Investasi Asing dan Investasi Dalam Negeri terhadap Perekonomian Indonesia. Data yang digunakan adalah data time series makro ekonomi Indonesia. Pada tahap selanjudnya, analisis dilakukan dengan menggunakan metode kuantitatif antara lain: Metode Regresi Ordinary Least Square (OLS) dengan model Regresi Berganda (Multiple Regression), dan Koefisien Determinasi (R2).Adapun hasil dari penelitian ini nantinya, dapat dilihat seberapa besar pengaruh variable bebas terhadap variable tidak bebasnya. Dan seberapa besar prosentasi variasi variable bebas terhadap variable terikat atau variable tidak bebasnya. Kata Kunci: Investasi Dalam Negeri, Investasi Luar Negeri dan Perekonomian Indonesia


2021 ◽  
Vol 4 (4) ◽  
pp. 9-20
Author(s):  
Okafor O. ◽  
Isibor A.

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.


2016 ◽  
Vol 14 (1) ◽  
pp. 71
Author(s):  
Nur Ravika Famala Sari

This study aims to determine the effect of Gross Regional Domestic Product, minimum wages district or city, investment, and government expenditure resources to the educated unemployment in East Java. This study uses secondary data for 5 years from 2010-2014. The method of data analysis used in this study is Ordinary Least Square (OLS). The data used in this study is data panel which combines time series and cross section. The results of this study show that partially variables of Gross Regional Domestic Product, minimum wages district or city, domestic investment, and government expenditure significant effect on Educated Unemployment in East Java, while foreign investment no significant effect on Educated Unemployment in East Java. Amount to 70,75% of the variation of independent variables in this study may explain the variable of educated unemployment in East Java, while the remaining 29,25% is influenced by other factor outside the model estimation.


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