The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Claudia Kemfert - One of the best experts on this subject based on the ideXlab platform.
-
estimated substitution elasticities of a nested CES Production Function approach for germany
Energy Economics, 1998Co-Authors: Claudia KemfertAbstract:This paper demonstrates an econometric estimation of substitution elasticities of a nested constant elasticity of substitution Production Function (CES) between capital, energy and labour for the West German industry. In the last few years CES Production Functions have become more important in economic modelling, especially for applied general equilibrium models where CES Production Functions are an important building stone. In the literature, different results of estimated elasticities can be found. This paper investigates three different approaches for nested CES Production Functions and their estimated substitution elasticities. Capital, energy and labour are estimated as substitutes for the West German industry in the long run.
Yun Han - One of the best experts on this subject based on the ideXlab platform.
-
Application of a modified CES Production Function model based on improved PSO algorithm
Applied Mathematics and Computation, 2020Co-Authors: Maolin Cheng, Yun HanAbstract:Abstract In the analysis of the economic growth factors, people often use the CES (constant elasticity of substitution) Production Function model to calculate the contribution rate of influencing factors to economic growth. However, the traditional CES Production Function model does not consider the period characteristic of technological progress on economic growth, so this paper puts forward a modified CES Production Function model. On the parameter estimation of the model, this paper presents an improved PSO (particle swarm optimization) algorithm with high precision and fast convergence. Using the modified CES Production Function model, this paper provides a scientific method to calculate the contribution rates of all factors influencing the economic growth. Finally, this paper performs the empirical analysis of the contribution rates of all factors influencing China’s economic growth.
-
A Modified CES Production Function Model and Its Application in Calculating the Contribution Rate of Energy and Other Influencing Factors to Economic Growth
Journal of Systems Science and Information, 2019Co-Authors: Maolin Cheng, Guojun Shi, Yun HanAbstract:Abstract In the analysis of economic growth factors, the constant elasticity of substitution (CES) Production Function model is used to calculate the contribution rates of influencing factors to economic growth. However, the traditional CES Production Function model fails to consider the staged characteristics of economic growth. Therefore, this study provides a modified model of the CES Production Function. With regard to its application, a new method for calculating the contribution rates of energy and other influencing factors to economic growth is proposed using a modified CES Production Function model. This work concludes by calculating the contribution rates of Chinese energy and other influencing factors to economic growth.
-
Application of a New Superposition CES Production Function Model@@@Application of a New Superposition CES Production Function Model
Journal of Systems Science and Information, 2017Co-Authors: Maolin Cheng, Yun HanAbstract:In the analysis on economic growth factors, calculating the contribution rate of influencing factor to economic growth using the CES Production Function model is a common and important research field. The CES Production Function model has a variety of forms, and the superposition CES Production Function model proposed in the paper is a new model. With regard to the model’s parameter estimation, the paper proposes a modified particle swarm optimization which has a fast convergence rate and a high precision. With regard to the calculation of factor contribution rate, the paper offers a new scientific calculation method with the superposition CES Production Function model. At last, the paper makes an empirical analysis on the contribution rate of Chinese economic growth factors and the result obtained consists with the reality.
-
application of a new superposition CES Production Function model application of a new superposition CES Production Function model
Journal of Systems Science and Information, 2017Co-Authors: Maolin Cheng, Yun HanAbstract:In the analysis on economic growth factors, calculating the contribution rate of influencing factor to economic growth using the CES Production Function model is a common and important research field. The CES Production Function model has a variety of forms, and the superposition CES Production Function model proposed in the paper is a new model. With regard to the model’s parameter estimation, the paper proposes a modified particle swarm optimization which has a fast convergence rate and a high precision. With regard to the calculation of factor contribution rate, the paper offers a new scientific calculation method with the superposition CES Production Function model. At last, the paper makes an empirical analysis on the contribution rate of Chinese economic growth factors and the result obtained consists with the reality.
Maolin Cheng - One of the best experts on this subject based on the ideXlab platform.
-
Application of a modified CES Production Function model based on improved PSO algorithm
Applied Mathematics and Computation, 2020Co-Authors: Maolin Cheng, Yun HanAbstract:Abstract In the analysis of the economic growth factors, people often use the CES (constant elasticity of substitution) Production Function model to calculate the contribution rate of influencing factors to economic growth. However, the traditional CES Production Function model does not consider the period characteristic of technological progress on economic growth, so this paper puts forward a modified CES Production Function model. On the parameter estimation of the model, this paper presents an improved PSO (particle swarm optimization) algorithm with high precision and fast convergence. Using the modified CES Production Function model, this paper provides a scientific method to calculate the contribution rates of all factors influencing the economic growth. Finally, this paper performs the empirical analysis of the contribution rates of all factors influencing China’s economic growth.
-
A Modified CES Production Function Model and Its Application in Calculating the Contribution Rate of Energy and Other Influencing Factors to Economic Growth
Journal of Systems Science and Information, 2019Co-Authors: Maolin Cheng, Guojun Shi, Yun HanAbstract:Abstract In the analysis of economic growth factors, the constant elasticity of substitution (CES) Production Function model is used to calculate the contribution rates of influencing factors to economic growth. However, the traditional CES Production Function model fails to consider the staged characteristics of economic growth. Therefore, this study provides a modified model of the CES Production Function. With regard to its application, a new method for calculating the contribution rates of energy and other influencing factors to economic growth is proposed using a modified CES Production Function model. This work concludes by calculating the contribution rates of Chinese energy and other influencing factors to economic growth.
-
A Grey CES Production Function Model and Its Application in Calculating the Contribution Rate of Economic Growth Factors
Complexity, 2019Co-Authors: Maolin ChengAbstract:In analyses of economic growth factors, people generally use the CES (Constant Elasticity of Substitution) Production Function model to calculate the contribution rates of the factors that influence economic growth. However, the traditional CES Function model that is built directly from economic data often shows apparent errors in parameter estimation due to data fluctuations. Such a model also may cause a negative calculation of the contribution rates of economic growth factors, or it may create abnormal fluctuations for some periods, and thus it fails to meet economic growth laws. In this paper, we propose a grey CES Production Function that can eliminate the random fluctuations of data and make the estimated parameters more reasonable, and this model can reflect the relationship between inputs and outputs more accurately. With regard to model application, the paper puts forward a scientific calculation method to avoid the calculation deviations caused by the substitution of difference equation for a differential equation with Solow’s formula. With the grey two-level nested CES Production Function model and the calculation method proposed, the paper makes an empirical analysis of the contribution rates of factors that influence China’s economic growth.
-
Application of a modified CES Production Function model based on improved firefly algorithm
Journal of Industrial and Management Optimization, 2019Co-Authors: Maolin Cheng, Mingyin XiangAbstract:The conventional CES Production Function model fails to consider the influenCES of policy factors on economic growth in different stages. This paper proposes a modified model of the CES Production Function. Regarding model parameter estimation, the paper proposes a modern intelligent algorithm, the firefly algorithm (FA). The paper improves conventional FA to enhance the convergence rate and precision. To overcome the shortcomings of the conventional method in model application, the paper presents a new method of calculating the contribution rates of factors influencing economic growth and provides examples.
-
Application of a New Superposition CES Production Function Model@@@Application of a New Superposition CES Production Function Model
Journal of Systems Science and Information, 2017Co-Authors: Maolin Cheng, Yun HanAbstract:In the analysis on economic growth factors, calculating the contribution rate of influencing factor to economic growth using the CES Production Function model is a common and important research field. The CES Production Function model has a variety of forms, and the superposition CES Production Function model proposed in the paper is a new model. With regard to the model’s parameter estimation, the paper proposes a modified particle swarm optimization which has a fast convergence rate and a high precision. With regard to the calculation of factor contribution rate, the paper offers a new scientific calculation method with the superposition CES Production Function model. At last, the paper makes an empirical analysis on the contribution rate of Chinese economic growth factors and the result obtained consists with the reality.
Dequn Zhou - One of the best experts on this subject based on the ideXlab platform.
-
The elasticity of substitution and the way of nesting CES Production Function with emphasis on energy input
Applied Energy, 2014Co-Authors: Donglan Zha, Dequn ZhouAbstract:Abstract This article proposes the way to choose the optimal bundle among inputs by combing the translog cost Function and Constant-Elasticity-of-Substitution (CES) Function. The translog cost Function is applied to select the most appropriate nested structure by estimating elasticities of substitution between inputs. And then the CES Function is used to get the elasiticities among inputs. It introduCES the empirical simulation model for the Chinese industrial sectors focusing on how energy combines with non-energy inputs. Derived from the estimated elasticities of substitution, the results present that (capital-labor)-energy is the most appropriate way. And the two-level elasticity of (capital-labor) and energy is 0.9432.
Donglan Zha - One of the best experts on this subject based on the ideXlab platform.
-
The elasticity of substitution and the way of nesting CES Production Function with emphasis on energy input
Applied Energy, 2014Co-Authors: Donglan Zha, Dequn ZhouAbstract:Abstract This article proposes the way to choose the optimal bundle among inputs by combing the translog cost Function and Constant-Elasticity-of-Substitution (CES) Function. The translog cost Function is applied to select the most appropriate nested structure by estimating elasticities of substitution between inputs. And then the CES Function is used to get the elasiticities among inputs. It introduCES the empirical simulation model for the Chinese industrial sectors focusing on how energy combines with non-energy inputs. Derived from the estimated elasticities of substitution, the results present that (capital-labor)-energy is the most appropriate way. And the two-level elasticity of (capital-labor) and energy is 0.9432.