服务业全要素生产率增长率测算方法的比较研究

Comparative Study on Measurement Methods of Total Factor Productivity Growth Rate in Service Industry

不同方法的采用,对服务业全要素生产率的测算结果会有显著影响。对索洛残差法、生产函数法以及随机前沿分析法等目前主流的测算方法进行比较与评价,探讨其各自的优点和不足,明确各类方法的适用条件与范围。意义在于要正确认识服务业全要素生产率的变化规律,对于特定时期的特定经济体,给出最合适的测算方法,估算出计算误差,并分析误差对计算结果的实际影响。不仅如此,对服务经济发展进行更深入的研究,我们需要区分使用不同的服务业全要素生产率增长率测算方法,有针对性地探讨生产效率提升、收入分配改善和服务水平提高的交互影响,及其对交易费用、公共服务可持续性以及物价稳定带来的长期影响。因此,比较研究服务业全要素生产率增长率的测算方法,有助于我们进行合理的预测,并为政府部门制定相应的经济政策提供可操作的建议。

The adoption of different methods has a significant impact on the measurement results of the total factor productivity in service industry. This paper compares and evaluates the current mainstream measurement methods such as Suolo remaining difference method, potential output approach and stochastic frontier production function approach, discusses their respective advantages and disadvantages, and clarifies the applicable conditions and scope of each method. The significance lies in correctly understanding the changing law of the total factor productivity of the service industry, giving the most appropriate measurement method for the specific economy in a certain period, estimating the calculation error, and analyzing the actual influence of the error on the calculation result. Not only that, but more in-depth research on the development of service economy, we need to distinguish between the use of different service industry growth rate of total factor productivity measurement, and to explore the interactive effects of productivity improvement, income distribution improvement and service level improvement, and the long-term impact on transaction costs, sustainability of public services, and price stability. Therefore, a comparative study of the measurement of the total factor productivity growth rate of the service industry will help us make reasonable predictions and provide operational recommendations for government departments to formulate corresponding economic policies.