PENERAPAN PENDUGAAN EFISIENSI ALOKATIF PADA USAHATANI BUNCIS (Phaseolus vulgaris, L)

ABTRACT Efficiency is one of the important indicators to assess the performance of a company or farm. Efficiency guarantees the use of certain inputs to achieve maximum output levels (technical efficiency) and also efficiency ensures the use of certain inputs that maximize profits (price efficiency or allocative efficiency). This article discusses the application of the estimation of price efficiency / allocative efficiency of the use of production inputs in bean farming using the linearized Cobb-Douglas Production function. The results of the analysis shows that the application of price efficiency estimation for production inputs using the Cobb-Douglas production function is satisfactory as long as the classical assumptions required by the multiple regression are fulfilled. Of the five production inputs included in the model, only one production input provides a significant value to production, namely the production input for the land area use. Thus, only the production input for land area use is estimated at the value of its price efficiency. Based on the results of the analysis, it is found that the use of production inputs for land area use has not yet reached its price efficiency.

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Alokatif Penggunaan Faktor-Faktor Produksi Usaha Pembesaran Ikan Patin di Kolam (Studi Kasus di Desa Banua Lawas Kecamatan Banua Lawas Kabupaten Tabalong)

RAWA SAINS : JURNAL SAINS STIPER AMUNTAI ◽

10.36589/rs.v4i2.40 ◽

2014 ◽

Vol 4 (2) ◽

pp. 275-286

Author(s):

Arief Hidayatullah ◽

Siti Muhimah

Keyword(s):

Data Collection ◽

Regression Model ◽

Production Function ◽

Allocative Efficiency ◽

Coefficient Of Determination ◽

Price Efficiency ◽

Production Factors ◽

Interview Methods ◽

Pool Area ◽

Douglas Production Function

This study aims to determine the effect of (i) production factors on catfish production, (ii) production factors that have a significant effect and (iii) allocative efficiency level of the use of production factors to enlarge catfish in ponds in Banua Lawas Village Banua Lawas District, Tabalong Regency. Research and data collection was conducted by survey and interview methods with a sample of 28 respondents who were catfish enlargement pond entrepreneurs in Banua Lawas Village, Banua Lawas District, Tabalong Regency. The analysis used is the analysis of the Cobb-Douglas production function and allocative efficiency. The results showed that the F test stated that all variables in the area of ponds, seeds, feed, and labor simultaneously had a significant effect on the production of catfish. Based on the results of the coefficient of determination shows that 88% of the variation in the amount of production can be explained by the variable pool area, seeds, feed, and labor. While 12% is influenced by other variables not included in the regression model. The results of the t test state that the factors of seed, feed, and labor have a significant and significant effect on catfish production while the pool area factor has no significant and no significant effect on catfish production. The value of price efficiency (EH) of seeds, feed, and labor are respectively (14.1), (0.4), (4.3), which means that the use of production inputs is not allocatively efficient.

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ANALISIS FAKTOR-FAKTOR YANG MEMEGARUHI PRODUKSI PADI SAWAH DI DESA UETOLI KECAMATAN AMPANA TETE KABUPATEN TOJO UNA-UNA

Agroland Jurnal Ilmu-ilmu Pertanian ◽

10.22487/j.24077607.2019.v26.i2.13058 ◽

2019 ◽

Vol 26 (2) ◽

pp. 111

Author(s):

Tri Ifgayani ◽

I Made Antara ◽

Lien Damayanti

Keyword(s):

Production Function ◽

Function Analysis ◽

Rice Production ◽

Lowland Rice ◽

Land Area ◽

Significance Level ◽

Factors Affecting ◽

Urea Fertilizer ◽

Number Of Seeds ◽

Douglas Production Function

This study aimed to analyze factors affecting lowland rice production in Uetoli village of Ampana Tete sub-district. This village is one of the centers of rice production in Tojo Una-Una district. Population of this study was lowland rice farmers in Uetoli village within which 34 respondents were selected. Data collected was analyzed using the Cobb-Douglas production function analysis. The results of the study indicated that those variables such as land area (X1), number of seeds (X2), urea fertilizer (X3), phonska fertilizer (X4), and labor (X5) were simultaneously affected the rice production with F-counted value was 58.53 larger than the F-table (3.76) at 1% significance level (α) and R2 value was 0.955 indicating that 95.5% of variation in the rice production (Y) can be described by these variables. The coefficient regression was 0.429 for the land area (X1), 0.217 for the number of seeds (X2), 0.169 for the amount of urea fertilizer (X3), 0.163 for phonska fertilizer (X4), and 0.155 for the labor (X5). Keywords : Cobb-Douglas Production Function, Lowland Rice, and Regression.

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Efisiensi produksi sawi pakcoy (Brasica rapa L.) di Desa Sumberejo Kota Batu

Journal of Agricultural Socio-Economics (JASE) ◽

10.33474/jase.v1i2.9095 ◽

2020 ◽

Vol 1 (2) ◽

pp. 67

Author(s):

Lukas Irwantus Dangkung ◽

Agnes Quartina Pudjiastuti ◽

Ninin Khoirunnisa

Keyword(s):

Production Function ◽

Production Efficiency ◽

Economic Value ◽

Allocative Efficiency ◽

Raw Material ◽

Npk Fertilizers ◽

Processed Form ◽

The Village ◽

Douglas Production Function

Pakcoy mustard (Brasica rapa L.) has a relatively high economic value in terms of low farming costs, so it has the potential to continue to be developed because the community widely consumes it both in fresh and processed form. The development of the population and industrial users of pakcoy mustard as a raw material causes this commodity's demand to continue to increase. This study aimed to analyze the production efficiency of pakcoy mustard in the village of Sumberejo. This village is one of the pakcoy mustard production centers in Batu City. The data was collected through interviews with 45 pakcoy farmers selected from 350 pakcoy farmers in the research location. The data that has been collected were analyzed with the Cobb-Douglas production function, then the allocative efficiency was calculated. The results showed that the use of seeds, TSP, and NPK fertilizers in pakcoy mustard production in the village of Sumberejo, Batu City was not allocatively efficient.

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Analisis Produksi Salak di Desa Wonokerto, Kecamatan Turi, Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta

Jurnal Ekonomi Pembangunan ◽

10.23960/jep.v9i2.80 ◽

2020 ◽

Vol 9 (2) ◽

pp. 77-88

Author(s):

Suripto Suripto ◽

Rifka Nur Syabrina Putri

Keyword(s):

Production Function ◽

Random Sampling ◽

Sampling Method ◽

Simple Random Sampling ◽

Coefficient Of Determination ◽

Land Area ◽

Independent Variables ◽

Variable Production ◽

Douglas Production Function

This study aims to analyze how big the influence of labor, manure, land area, price, experience to the amount of salak production in Wonokerto Village Turi District Sleman District. Determination of respondents using a simple random sampling method (Simple Random Sampling). Analyzer used is an analysis of the Cobb-Douglas production function. The result of the investigation shows the value of the coefficient of determination (R2) of 0.5342 can be interpreted variable production amount 53.42% in by independent variables studied influenced research, while the rest controlled by other factors. Result of F test of labor variable (X1), manure (X2), land area (X3), price (X4), and experience (X5) simultaneously have a positive and significant effect on the amount of salak production in Wonokerto Village. Furthermore, variable of labor, manure, land area has a real impact on production amount in Wonokerto Village. In contrast, price and experience variables have no significant effect on the amount of salak production.

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Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

Journal of Business and Economics ◽

10.15341/jbe(2155-7950)/09.09.2018/007 ◽

2018 ◽

Vol 9 (9) ◽

pp. 825-832

Author(s):

James M. Alin ◽

◽

Datu Razali Datu Eranza ◽

Arsiah Bahron ◽

◽

...

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Production Function ◽

Weather Conditions ◽

Education Level ◽

Farm Size ◽

Total Production ◽

Explanatory Factors ◽

Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

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