THE EFFICIENCY OF PRODUCTION FUNCTION ALLOCATION TURMERIC FARM ACEH BESAR DISTRICT

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Ismayani Ismayani
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Production Factor ◽  
Survey Method ◽  
Marginal Production ◽  
Function Allocation ◽  
Production Value

The objectives of this research is to find the factors impacted of turmeric farm and the efficiency of production factor allocation was efficient or not.  The  research location in Aceh Besar district. This research used survey method. The research was tested by Cobb Douglass production function analysis.  The result of research shows that area factor allocation 0,30 hectare not efficient.  Showing that area factor necessary to increased anyway the income of the farmer increasing.And the allocation of labor factor 17,43 man days per season be decreased cause not efficient and can be high the labor, over production and marginal production value lower.

scholarly journals Analisis Efisiensi Faktor Produksi Usaha Budidaya Ikan Bandeng (Chanos chanos) (Studi Kasus pada Alumni Peserta Pelatihan Budidaya Ikan di BPPP Banyuwangi

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
. Sumartin
Keyword(s):  
Production Function ◽  
Economic Efficiency ◽  
Production Efficiency ◽  
Function Analysis ◽  
Least Square ◽  
Fish Culture ◽  
Production Factor ◽  
Marginal Product ◽  
Price Efficiency ◽  
Factors Of Production

This study aims to  analyze the  economic, technical and price efficiency of  milkfish farmers participating fish culture training at Center of Education and Fisheries Training Banyuwangi, analyzing covering factors affecting production efficiency. Analysis of data used in the form of production function analysis Cobb Douglas stochastic frontier which is estimated by Ordinary Least Square Method (OLS). Estimation of Cobb-Douglas production function model using OLS method to know the efficiency of the average performance of fish culture business. Estimates with the maximum likelihood (MLE) method to determining the level of technical efficiency, using the 4.7 frontier computing program developed by Coelli (1996). To know the efficiency of the price can be calculated by the value of marginal product (VMP) of production factor. The results show that the level of economic efficiency of milkfish culture business in Gresik East Java, based on the results of estimation using MLE method, the result of six factors of production is in rational area, but not yet efficient because the obtained coefficient value of each area of pond (X1) 0.318, fertilizer (X2) 0.079, lime (X3) 0.009, seeds (X4) 0.005, probiotics (X6) 0.066 and labor (X7) 1.311. While one feed production factor (X5) is in an irrational area because it has a coefficient value of -0.017. While the variables that influence inefficiency are experiential variables (Z1), age of farmers (Z2) and formal education (Z3) each have elasticity of -0.0711458; -0,6270106 and -0,1504381. The value of Marginal Product (NPM) of pond production area (X1) is 0.00059 (<1), Fertilizer (X2) is greater than 1 ie 3,01413, lime production factor (X3) 3,35338, the other NPM factor production such as Seed (X4) and Labor (X7), with value less than 1 (0.00075 and 0.03865), NPM Feed (X5), is smaller than one ie -0.00364 (<1 ). NPM probiotic (X6) is 95,1491 (> 1). Overall allocation of the seven factors of production is the average value of price efficiency is also more than one that is equal to 101,553 and economic efficiency equal to 2,904. it can be concluded that fish breeding business has not been efficient. Keywords: efficiency, economy, technical, price, frontier, milkfish

scholarly journals Analisis Efisiensi Penggunaan Faktor Produksi Usahatani Cabai Merah di Desa Besakih, Kecamatan Rendang, Kabupaten Karangasem

2018 ◽  
pp. 307
Author(s):  
NI WAYAN ADIYANI WIJAYANTI ◽  
RATNA KOMALA DEWI ◽  
I WAYAN WIDIYANTARA
Keyword(s):  
Production Function ◽  
Efficiency Analysis ◽  
Production Factor ◽  
The Past ◽  
Production Factors ◽  
Marginal Production ◽  
Npk Fertilizer ◽  
Leaf Fertilizer ◽  
Production Prices ◽  
Douglas Production Function

Efficiency Analysis of The Use Of Red Chili Production Factors in Red Chili Farming at Besakih Village, Rendang, Karangasem The research was conducted in Besakih Village, Rendang Sub-District, Karangasem Regency which is one of red chili farming centers in Karangasem Regency. The problem is that production tends to decline over the past five years. This study aims to analyze the effect of production factors and the level of efficiency of the use of red chili production factors on the red chili production in Besakih Village. The method used to analyze the factors of production was the Cobb-Douglas production function. Data were obtained from 62 respondents by census method. Efficiency was calculated by analyzing the ratio of marginal production prices to factor prices. The results showed that production factors that affect the amount of production include land, seed, manure, NPK, leaf fertilizer, calcium fertilizer, pesticides, and labor. Simultaneously, the influence of production factor was 93,90% to the amount of red chili production, while partially, factors that affect the production of red chili were seed, manure, NPK and pesticide. The production factor that has been efficient in its use was NPK fertilizer. Factors of seed production and manure have not been efficient, so their use needs to be added. Leaf fertilizer production factors, calcium fertilizers, pesticides, and labor usage were inefficient, so the use needs to be reduced.

A modified production function analysis of changing southern forest productivity

1991 ◽  
Vol 21 (8) ◽  
pp. 1278-1287 ◽  
Author(s):  
David H. Newman
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Public Lands ◽  
Forest Productivity ◽  
Southern States ◽  
The Past ◽  
Lower Productivity ◽  
Aggregate Production Function ◽  
The Impact ◽  
Productivity Gains

The analysis in this paper measures changes in forest productivity for 12 southern states using a modified, aggregate production function. The function combines cross section – time series, biological, and acreage data to estimate the shift in productivity, measured as either standing inventory plus removals or changes in inventory plus removals, over the past 4 decades. The annual shift in productivity is estimated to be approximately 0.5% for the standing volume measures used. However, productivity gains in the region have virtually stopped during the past decade. The largest contributions to productivity gains were from industrially owned lands and land managed as planted pine. Mixed pine–hardwood stands and public lands (except for plantations) showed lower productivity impacts. These results present an essential component for understanding the impact of technical change on aggregate forest productivity in the southern United States.

scholarly journals Business results change under effects of farm size and degree of production specialization

2003 ◽  
Vol 48 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Ljubomir Bastajic
Keyword(s):  
Regression Analysis ◽  
Comparative Analysis ◽  
Correlation Analysis ◽  
Production Function ◽  
Function Analysis ◽  
Economic Effects ◽  
Farm Size ◽  
Business Results ◽  
Cultivable Land ◽  
Business Conditions

The study was conducted with the objective of analyzing the economic effects provoked by the change in farm size, depending on the degree of production specialization (questionnaires encompassing 30 farms of different size were used) using comparative analysis, regression analysis, correlation analysis and production function analysis. Research comprised essential parameters of business conditions on the farms and results of their business. The farms analyzed were classified according to the size of used cultivable land and degree of production specialization. In both farm groups, with different degrees of production specialization, the indices of business results were found to rise with size increase and were noticed to be the most favorable in the case of over 10 ha-farms. Comparing farms of identical size but of different degree of specialization, the following may be concluded: more favorable business results were achieved on farms with higher degree of specialization.

scholarly journals EFISIENSI PENGGUNAAN FAKTOR PRODUKSI DAN PENDAPATAN USAHATANI TUMPANGSARI STROBERI-BAWANG DAUN DI DESA SERANG KECAMATAN KARANGREJA KABUPATEN PURBALINGGA

2021 ◽  
Vol 14 (1) ◽  
pp. 57
Author(s):  
Savira Kusumadewi ◽  
Djeimy Kusnaman ◽  
Irene Kartika Eka Wijayanti
Keyword(s):  
Function Analysis ◽  
Economic Value ◽  
Simple Random Sampling ◽  
Production Factor ◽  
Farm Income ◽  
Land Area ◽  
Production Factors ◽  
A Value ◽  
C Value ◽  
Seed Area

Strawberry (Fragaria sp.)  is a type of fruit that has high economic value. An to increase the income of strawberry farmers is by intercropping with leek. To understand the efficiency of the farming the by using production input. This research aims to 1) analyze the effect of the use of production factors, 2) analyze the level of efficiency in the use of production factors, and 3) to analyze the profit level of intercropping strawberries-leek in Serang Village, Karangreja District, Purbalingga Regency. There are 35 samples obtained using simple random sampling. The analysis was performed using the Cobb Douglass production function analysis, the NPM / BKM ratio and farm income analysis. The results of this research were the use of production factors, seed; area; labor; and insecticides partially affected the production of intercropping strawberries, while the production factors of chicken-husk fertilizer; NPK-Phonska fertilizer; other fertilizers; and fungicides had no effect on the production of intercropping strawberries. The production factors for seeds; labor; and insecticides have an NPM-BKM ratio value greater than one where the use of these inputs is not efficient. Meanwhile, the production factor for land area has an NPM-BKM ratio value of less than one where the use of these inputs is not efficient. R / C for cash costs was 4.61 and R / C for total costs was 1.09. The R / C value for both cash costs and total costs has a value greater than one, so the strawberry and leek intercropping farming in Serang Village can be said to be profitable.

Impact of resource reconfiguration on total factor productivity of service industry

2020 ◽  
pp. 002072092094057
Author(s):  
Yanhui Hu ◽  
Mengmeng Wang
Keyword(s):  
Structural Changes ◽  
Optimal Allocation ◽  
Service Industry ◽  
Service Industries ◽  
Production Factor ◽  
Marginal Production ◽  
Monopoly Industry ◽  
The Government ◽  
Marginal Returns ◽  
Resource Reconfiguration

Using the Chenery-Syrquin model, this paper investigates the effect of resources reallocation on the TFP of China’s service industry from 2003 to 2016.The main findings are as follows: there are significant structural changes in the production factor configuration of various industries within the service industry. The growth of service industry is still driven mainly by factor input. The resource reconfiguration effect has not yet become the main force driving the growth of TFP of the service industry. However, the structural dividend has become more and more obvious after 2008. The marginal production of capital in most service industries has reached a stage of total reduction and rapid convergence, and there is a convergence of marginal returns of capital within the service industry. The marginal production of labor in most service industries is on the stage of decrease in growth rate and increase in the total amount. Although the marginal production of labor still exhibits divergent characteristics, it has begun to show signs of convergence at the end of the study period. There are phenomena of “mismatching resources”, and the state control or monopoly industry is more serious. The government should improve the property rights system, expand openness, and formulate supporting policies to different industries to promote the optimal allocation of resources.

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