The stability of the production function and the marginal productivity of inputs: An empirical study

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.

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An Empirical Study on the Contribution of Agricultural Mechanization to Agricultural Economic Growth in Hebei Province Based on the CD Production Function

10.1109/icmsse53595.2021.00028 ◽

2021 ◽

Author(s):

Taoqian Xie ◽

Xiaoping Liu

Keyword(s):

Economic Growth ◽

Empirical Study ◽

Agricultural Economic ◽

Production Function ◽

Hebei Province ◽

Agricultural Mechanization

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Empirical Study on Internal Control and The Stability of Capital Structure: Evidence from China

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue4.53 ◽

2013 ◽

Vol 8 (4) ◽

pp. 458-464

Author(s):

Zhang Xishuan ◽

Zhao Xi

Keyword(s):

Empirical Study ◽

Capital Structure ◽

Internal Control ◽

The Stability

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Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

Sustainability ◽

10.3390/su11195225 ◽

2019 ◽

Vol 11 (19) ◽

pp. 5225

Author(s):

Furong Chen ◽

Yifu Zhao

Keyword(s):

Panel Data ◽

Technical Efficiency ◽

Production Function ◽

Production Efficiency ◽

Stochastic Frontier ◽

Grain Production ◽

Marginal Productivity ◽

Rural Labor ◽

Stochastic Frontier Production Function ◽

Frontier Production Function

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

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Center Manifold Reduction and Perturbation Method in a Delayed Model with a Mound-Shaped Cobb-Douglas Production Function

Abstract and Applied Analysis ◽

10.1155/2013/738460 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 8

Author(s):

Massimiliano Ferrara ◽

Luca Guerrini ◽

Giovanni Molica Bisci

Keyword(s):

Hopf Bifurcation ◽

Perturbation Method ◽

Production Function ◽

Center Manifold ◽

Normal Form Theory ◽

Center Manifold Reduction ◽

Center Manifold Theorem ◽

Form Theory ◽

The Stability ◽

Manifold Reduction

Matsumoto and Szidarovszky (2011) examined a delayed continuous-time growth model with a special mound-shaped production function and showed a Hopf bifurcation that occurs when time delay passes through a critical value. In this paper, by applying the center manifold theorem and the normal form theory, we obtain formulas for determining the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions. Moreover, Lindstedt’s perturbation method is used to calculate the bifurcated periodic solution, the direction of the bifurcation, and the stability of the periodic motion resulting from the bifurcation.

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