scholarly journals Effect of Credit on Cassava Productivity in Kintampo South District Using Cobb-Douglas Production Function Model

2020 ◽  
Vol 7 (1) ◽  
pp. 16-21
Author(s):  
Maxwell Amedi ◽  
Moses Dumayiri ◽  
Mohammed Abdul-Rashid Suhuyini
2013 ◽  
Vol 11 (2) ◽  
pp. 276
Author(s):  
Lidia Elly

The objectives of this study were: 1) to analyze and determine the effect of per capita income and revenue (PAD) in the previous year on the realization of revenue (PAD) in West Kutai Regency 2) to analyze and determine which one is the most elastic to the realization of revenue (PAD) in West Kutai Regency between per capita income and revenue (PAD) in the previous year; and 3) to analyze and determine the timing of realization of revenue (PAD) in West Kutai Regency. To determine the extent of the influence of per capita income and revenue (PAD) in the previous year on revenue (PAD) in West Kutai Regency, the researcher use multiple liner regression models from Cobb-Douglas production function model to obtain data about per capita income and revenue (PAD) in the previous year. The result show that per capita incme affects directy and significantly towards the realization of revenue (PAD) in West Kutai Regency; and per capitaincome has an elastic and great influence on the realization of revenue (PAD) in West Kutai Regency 


2014 ◽  
Vol 694 ◽  
pp. 558-562
Author(s):  
Dong Bing Huang ◽  
Lin Lin

Data was taken from Guizhou flue-cured tobacco production during 2001 to 2012 period. Cobb-Douglas production function model was exerted to calculate the contribution rate of technology advancement to flue-cured tobacco production and to analyze the relation between production factors and flue-cured tobacco output. Results show that the contribution rate of technology advancement to flue-cured tobacco production in Guizhou Province is 42.53%.Planting area is the most important factor to the production. Some measures on stable development of flue-cured tobacco production are proposed.


2019 ◽  
Author(s):  
B. Mahaboob ◽  
K. A. Ajmath ◽  
B. Venkateswarlu ◽  
C. Narayana ◽  
J. Peter Praveen

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  

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.


2019 ◽  
Vol 1 (1) ◽  
pp. 16-23
Author(s):  
Farhad Savabi ◽  

2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila

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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