CES生产函数模型的修正及实证分析

Correction and Empirical Analysis of the CES Production Function Model

在经济增长因素分析中,利用CES生产函数模型测算各影响要素对经济增长的贡献率是人们常常研究的重要课题.本文引进虚拟变量,提出CES生产函数的修正模型,并给出模型非线性回归的参数估计方法.在应用修正的CES生产函数模型测算要素贡献率上,传统的方法误差较大.针对该问题,本文给出新的准确测算要素贡献率的方法.最后给出中国经济增长要素贡献率实证分析,效果良好,结果符合实际.

In the analysis of the economic growth factors, it is one of the important topics to use the CES production function model for measuring the contribution rate of each factor. This paper introduces some dummy variables, presents a correction model of the CES production function and gives the non-linear regression parameter estimation method under the proposed model. In measuring the contribution rate of each factor by using the CES production function correction model, the traditional method generally has large error. To alleviate this problem, this paper presents a new method that can more accurately calculate the contribution rate of each factor. The empirical analysis for the contribution rate of Chinese economic growth has been substantiated, and the results confirm that the proposed correction model performs more effectively and more complies with the real circumstances.