存在“定价不当”商品时的生产率测量

Productivity Measurement in the Presence of “Poorly Priced” Goods

American Journal of Agricultural Economics · 1996
被引 6
人大 AABS 3

中文导读

使用中国30个省份1978-1998年的面板数据,采用固定效应模型和随机前沿模型估计全要素生产率增长,发现TFP增长率高于Young的估计,且技术进步偏向于使用劳动力。

Abstract

Young (1995) estimated Total Factor Productivity (TFP) growth for Hong Kong, Taiwan, Singapore and South Korea. He reported moderate growth rates for these four regions. This means that rapid growth of GDP in these four economies is due mainly to fast increase of inputs. Young (2000) also estimated the TFP growth rate of China to be 1.4% per year during the period of 1978 to 1998. Similar to his claim for the four 'Asian Tigers', he concluded that 'the productivity performance of the non-agricultural economy (of China) during the reform period is respectable, but not outstanding.' China's real GDP grew at about 9% every year during that period. Is this extraordinary growth rate only due to factor accumulation? Or is it to a large degree due to improved efficiency and innovations? To answer this question, this study uses a panel dataset of real GDP, capital stock, and labor force for 30 provinces for 1978 to 1998 to estimate the TFP for the Chinese economy. Two approaches are used to estimate the aggregate production technology: a fixed-effects model and a stochastic frontier model. Our results are consistent across models indicating a TFP growth rate of 4.9% and 3.3% respectively. Both estimates are higher than Young's 1.9%. Our estimates also indicate that national average of TFP's contribution to GDP growth amount to 41.3% and 38.7%, respectively. Other results of interest indicate that capital has contributed more than labor to GDP growth and that technological change has been labor using.

全要素生产率经济增长核算中国省级面板数据生产函数估计