scholarly journals A Micro Economic Analysis Of Productivity In The Manufacturing Industry Of North West

2002 ◽  
Vol 28 (1) ◽  
Author(s):  
E. P.J. Kleynhans
Keyword(s):  
Economic Analysis ◽  
Production Function ◽  
Manufacturing Industry ◽  
Labour Productivity ◽  
Cost Structure ◽  
North West ◽  
The North ◽  
Production Factors ◽  
Optimal Allocations ◽  
Douglas Production Function

This article studies the productivity in the manufacturing industry of the North West Province. Estimates of the Cobb-Douglas production function for the province’s manufacturing industry are utilised and then applied to the industry’s cost structure to determine whether the factors of production are optimally allocated. It was found that the levels of labour productivity are continuously declining. Higher gains in output could have been achieved if expenditure on production factors were optimally allocated.What the optimal allocations should have been are then determined in monetary terms. Opsomming Die produktiwiteit van die vervaardigingsnywerheid in die Noordwes Provinsie word in hierdie artikel bestudeer.’n Cobb-Douglas produksiefunksieword vir die vervaardingsnywerheid van die provinsie geskat. Die resultate word dan op die nywerheid se kostestrukture toegepas om te bepaal of die produksiefaktore optimal geallokeer is. Daar is gevind dat daar ’n kontinue afname in arbeidsproduktiwiteit bestaan.Hoe«r winste in uitset ismoontlik indien besteding aan produksiefaktore optimaal toegewysword.Wat die optimale allokasiemoesweesword dan bepaal.

scholarly journals Evaluation of the Imitation Potential of IT Companies Using the Cobb-Douglas Production Function

Vestnik NSUEM ◽  
2019 ◽  
pp. 130-142
Author(s):  
E. N. Akerman ◽  
A. A. Mikhalchuk ◽  
V. V. Spitsyn ◽  
N. O. Chistyakova
Keyword(s):  
Production Function ◽  
Cluster Model ◽  
Production Functions ◽  
Production Volume ◽  
High Quality ◽  
Production Factors ◽  
Factor Production ◽  
Fixed Assets ◽  
Main Factors ◽  
Douglas Production Function

The relevance of the study has been determined by the acceleration of innovation growth, which encourages companies to use imitation strategies in response to disruptive technological changes.The study used the Cobb-Douglas production function to evaluate the effectiveness of the used production factors of Russian IT companies. A high-quality 3-cluster model of IT companies was built, as well as highly significant two-factor production functions of Cobb-Douglas, which made it possible to identify the contribution of the main factors (wage and fixed assets) to the production volume (revenue) for each cluster.

scholarly journals MULTI-OBJECTIVE TIME-COST OPTIMIZATION USING COBB-DOUGLAS PRODUCTION FUNCTION AND HYBRID GENETIC ALGORITHM

2015 ◽  
Vol 22 (2) ◽  
pp. 187-198 ◽  
Author(s):  
Zhigang SHEN ◽  
Ashkan HASSANI ◽  
Qian SHI
Keyword(s):  
Production Function ◽  
Cost Optimization ◽  
Hybrid Genetic Algorithm ◽  
Time Cost ◽  
Construction Time ◽  
Optimal Allocations ◽  
Crashing Cost ◽  
New Perspective ◽  
The Cost ◽  
Douglas Production Function

Existing research on construction time-cost tradeoff issues rarely explore the origin of the crashing cost. Crashing cost function was either assumed without much justification, or came from historical data of some real pro­jects. As a result the conclusions of the papers can hardly be used to guide allocations of labor and equipment resources respectively. The authors believe Cobb-Douglas function provides a much-needed piece to modeling the cost functions in the construction time-cost tradeoff problem during the crashing process. We believe this new perspective fills a gap of existing time-cost tradeoff research by considering project duration, labor and equipment cost as parameters of the Cobb- Douglas production function. A case study was presented to show how the proposed framework works. Our conclusion is that introducing Cobb-Douglas function into time-cost tradeoff problem provides us extra capacity to further identify the optimal allocations of labor and equipment resources during crashing.

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.

Calculation and Analysis of Contribution Rate from Technology Advancement about Flue-Cured Tobacco Production in Guizhou Province

2014 ◽  
Vol 694 ◽  
pp. 558-562
Author(s):  
Dong Bing Huang ◽  
Lin Lin
Keyword(s):  
Production Function ◽  
Guizhou Province ◽  
Contribution Rate ◽  
Function Model ◽  
Production Factors ◽  
Technology Advancement ◽  
Tobacco Production ◽  
Stable Development ◽  
Douglas Production Function

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.

Employee Production Factor in Economic Development (A Study in Indonesia)

2020 ◽  
Vol 17 (2) ◽  
pp. 859-863
Author(s):  
Wilson Bangun
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Multiple Regression ◽  
Production Function ◽  
Regression Equation ◽  
Production Factor ◽  
Multiple Regression Equation ◽  
Production Factors ◽  
Douglas Production Function

Economic growth is one measure of development that reflects the welfare of society in a country. In Indonesia, labor production factors make the biggest contribution to economic growth compared to capital and technology production factors. However, the quality of Indonesian labor is the lowest compared to ASEAN-5. This study using approach of Neo Classic to know the magnitude of the contribution of production factors: Labor, capital, and technology to Indonesia economic growth by using the Cobb Douglas production function which is changed in a multiple regression equation. The results of this study indicate that production factors labor and investment significantly influence Indonesia economic growth. While production factors of technology have influence is little on Indonesia economic growth. Based on the results of this study, it is suggested that the Indonesian government improve the quality of the workforce through improving education aspects.

scholarly journals Economic analysis of ginger cultivation in selected locations of Nepal

2018 ◽  
Vol 42 (4) ◽  
pp. 681-691
Author(s):  
RR Poudel ◽  
PP Regmi ◽  
RB Thapa ◽  
YD Gc ◽  
DB Kc
Keyword(s):  
Economic Analysis ◽  
Production Function ◽  
Seed Production ◽  
Crop Rotation ◽  
Economic Condition ◽  
Cost Share ◽  
Cash Cost ◽  
Cost Factors ◽  
Douglas Production Function ◽  
Significant Factors

Although Ginger is the main cash crop for small farmers across the country, the economic condition is not satisfactory which can be attributed to high cost of product and low productivity. The study was conducted in four ginger growing areas of Palpa, Nepal in 2012, focusing on cost factors of various inputs. The study revealed that ginger production was profitable on cash cost basis (BCR 7.22). Seed have major cost share for ginger production (65.1%). The estimated coefficients of Cobb-Douglas production function showed that seed, labor and number of years for crop rotation were the significant factors for ginger production. The study concluded that ginger production can be made viable enterprise with increased focus on source seed production and distribution.Bangladesh J. Agril. Res. 42(4): 681-691, December 2017

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

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.

scholarly journals Rationalization of the Use of Land and Capital Production Factors on Hybrid Cayenne Agriculture Business on Juwita Variety in Central Lombok District

2020 ◽  
Vol 5 (7) ◽  
pp. 400-405
Author(s):  
I Dewa Gede Suartha ◽  
Made Suma Wedastra ◽  
Ni Wayan Putu Meikapasa ◽  
I Gusti Ngurah Aryawan Asasandi ◽  
Ida Ayu Nopiari
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Function ◽  
Random Sampling ◽  
Function Analysis ◽  
Sampling Technique ◽  
Stage Ii ◽  
Production Factors ◽  
Production Area ◽  
Douglas Production Function

This study aims to determine the effect of land and capital production factors on the production of juwita hybrid cayenne varieties, and whether rational or not the use of land and capital production factors in the farming of juwita hybrid cayenne varieties in the Central Lombok regency. The research is carried out in Sintung, Belege and Bilebante Villages in Pringgarata Subdistrict, Central Lombok Regency, which have been selected using the purposive sampling technique, on the grounds that these villages have the highest productivity of juwita hybrid cayenne varieties compared to other villages. Furthermore respondents numbered 30 people who are determined by using proportional random sampling technique. Data are analyzed by using the Cobb-Douglas production function analysis which is changed to Logarithm Multiple Linear Regression. The results show that the area of land and capital jointly have a significant effect on the production of Juwita hybrid cayenne varieties cultivated by farmers in Central Lombok regency with an F-count of 255,690 and Sig. 0.05. This condition emerges because the added capital in the cultivation of Juwita hybrid cayenne varieties farming is not well targeted. Both land and capital are partially rational, and their production elasticities are between 0- 1 and are in production area II (stage II).

scholarly journals Some Characterizations of the Cobb-Douglas and CES Production Functions in Microeconomics

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Xiaoshu Wang ◽  
Yu Fu
Keyword(s):  
Differential Geometry ◽  
Economic Analysis ◽  
Production Function ◽  
Production Functions ◽  
Euclidean Spaces ◽  
Production Possibility ◽  
Constant Return ◽  
Production Possibility Frontier ◽  
Theory Of Production ◽  
Douglas Production Function

It is well known that the study of the shape and the properties of the production possibility frontier is a subject of great interest in economic analysis. Vîlcu (Vîlcu, 2011) proved that the generalized Cobb-Douglas production function has constant return to scale if and only if the corresponding hypersurface is developable. Later on, the authors A. D. Vîlcu and G. E. Vîlcu, 2011 extended this result to the case of CES production function. Both results establish an interesting link between some fundamental notions in the theory of production functions and the differential geometry of hypersurfaces in Euclidean spaces. In this paper, we give some characterizations of minimal generalized Cobb-Douglas and CES production hypersurfaces in Euclidean spaces.

scholarly journals ANALISIS FAKTOR PRODUKSI YANG MEMPENGARUHI PRODUKSI KOPRA DI KECAMATAN TOMOHON BARAT

2018 ◽  
Vol 14 (3) ◽  
pp. 17
Author(s):  
Karouw Randy Alfredts Zwingly ◽  
Tommy F. Lolowang ◽  
Lyndon R. J. Pangemanan
Keyword(s):  
Production Function ◽  
Direct Observation ◽  
Survey Methods ◽  
Plant Population ◽  
Production Factor ◽  
Primary Data ◽  
Plant Populations ◽  
Production Factors ◽  
Maximum Profit ◽  
Douglas Production Function

This study aims to: (1) identify production factors that influence copra production and (2) analyze the elasticity of copra production factors from copra-producing farmers in West Tomohon District. This research was conducted from January to April 2017. The data used were primary data obtained by survey methods through direct observation and interviews with copra farmers. Data were analyzed using Cobb-Douglas production function. The results showed that (1) factors of production of planting area, plant population, outpouring of labor, amount of equipment, and experience used by copra-producing farmers in Tomohon Barat Sub-district jointly affected copra production but separately influential production factors real and positive for copra production, namely planting area, plant population, and outpouring of labor. Based on the scale of results which show increasing return to scale indicates that farmers are still able to obtain profitable production from a number of added production factors. (2) Based on the level of elasticity of production factors that are positive and more than one. This indicates that the use of planted area production factors, plant populations, and labor has not been efficient because it has not reached maximum profit. Each addition of the production factor resulted in an increase in copra production which continued to increase, while the use of production factors the number of equipment and experience showed a negative value indicating that the use of production factors is inefficient because the production will produce less copra even though the use of production factors is more. *jnkd*.

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