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.

中文翻译：

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基于改进PSO算法的修正CES生产函数模型的应用

摘要 在经济增长因素的分析中，人们经常使用CES（constant elastic替代）生产函数模型来计算影响因素对经济增长的贡献率。然而，传统的CES生产函数模型没有考虑技术进步对经济增长的周期特征，因此本文提出了修正的CES生产函数模型。在模型的参数估计上，本文提出了一种改进的粒子群优化算法，该算法精度高，收敛速度快。利用修正的CES生产函数模型，本文为计算影响经济增长的所有因素的贡献率提供了一种科学的方法。最后，