scholarly journals Productivity of Unorganised Manufacturing Enterprises in India

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Pinaki Das
Keyword(s):  
Production Function ◽  
Capital Intensity ◽  
Marginal Productivity ◽  
Government Assistance ◽  
Manufacturing Enterprises ◽  
Average Productivity ◽  
Capital Productivity ◽  
Over Time ◽  
Douglas Production Function

Since unorganised manufacturing enterprises (UMEs) provide employment to a huge mass in India therefore its growth and productivity is a matter of concern. Thus, through this paper the growth and productivity of Indian UMEs are shown with the help of NSSO Data (67th and 73rd Rounds). This paper reveals that the number of UMEs increased significantly in India during 2010-11 to 2015-16. The average productivity of labour increased over time. Using the Cobb-Douglas production function it was further found that the marginal productivity of labour is much higher than the marginal productivity of capital. Productivity is found to be positively and significantly influenced by male ownership, own account enterprises, enterprises do not face problem, expanding status of growth, government assistance, registration of enterprises and capital intensity.

scholarly journals The Time Augmented Cobb-Douglas Production Function

2019 ◽  
Vol 67 (5) ◽  
pp. 1347-1356
Author(s):  
Lenka Roubalová ◽  
Lenka Viskotová
Keyword(s):  
Time Series ◽  
Production Function ◽  
Least Squares Method ◽  
Nonlinear Least Squares ◽  
Central European ◽  
Economic Reality ◽  
Nonlinear Least Squares Method ◽  
Over Time ◽  
Douglas Production Function ◽  
Better Than

The main objective of this paper is to propose and verify a time augmentation of the Cobb-Douglas production function parameters which should be able to capture changing conditions over time. The parameters are estimated via the nonlinear least squares method. As data a time series including production and its sources, labour and capital, in the construction industries of six Central European countries for the period 1995–2015 is used. Our results, based on calculation of R2 and Theil’s U, prove that the models containing the time augmented parameters are better than the basic one. Also a verification of evaluated models using the economic reality for each country is given. In addition to the superiority of the time augmented models, these are applicable to distinguish the specifics of the development of productivity in individual countries.

scholarly journals The Pigovian tax on capital-intensive industries

2019 ◽  
Author(s):  
Yuuki Maruyama
Keyword(s):  
Production Function ◽  
Industrial Policy ◽  
Government Intervention ◽  
Marginal Productivity ◽  
Tax Rate ◽  
Labor Share ◽  
Sector Model ◽  
Capital Intensive ◽  
Pigovian Tax ◽  
Douglas Production Function

Government intervention in the market and industrial policy tend not to be considered good. However, as can be seen from the Cobb-Douglas production function, capital has the effect of increasing the marginal productivity of labor, and the effect is greater in industries with high labor share (labor-intensive industries). For this reason, if a Pigovian tax is imposed on capital-intensive industries, some capital will move to labor-intensive industries and workers' wages will increase. This paper uses a two-sector model to analyze the optimal Pigovian tax rate that will maximize the income of workers. It shows that the optimal Pigovian tax rate is higher in countries with higher productivity in capital-intensive industries and have more capital and less population.

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

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.

Efficient Cobb-Douglas Production Function

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

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

2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila
Keyword(s):  
Production Function ◽  
Allocative Efficiency ◽  
Maximum Output ◽  
Phaseolus Vulgaris L ◽  
Land Area ◽  
Price Efficiency ◽  
Efficiency Estimation ◽  
Area Use ◽  
A Company ◽  
Douglas Production Function

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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