Technical change and total factor productivity growth: The case of Chinese provinces

In the literature technical change (TC) is mostly assumed to be exogenous and specified as a function of the time trend or time dummies. However, some exogenous external factors other than time can also affect TC. In this paper we model TC via time trend (external non-economic) as well as other exogenous (external economic) factors (technology shifters). For this we define technology indices based on the external economic factors and the time trend. The specification of production function is then amended to accommodate these technology indices which are not necessarily separable from the traditional inputs. That is, these technology indices allow for non-neutral shift in the production function. In doing so we are able to decompose TC (a component of TFP change) into two parts. One part is driven by time and the other part is related to producer-specific external economic factors. The latter can further be decomposed into each external economic factors. The empirical model uses panel data on Chinese provinces. We identify a number of key technology shifters and their effect on technical change and TFP growth of provinces are examined.

Research Highlights
► Technical change (TC) is modeled via external non-economic and external economic factors (technology shifters).
► The production function accommodates these technology indices which are not necessarily separable from the traditional inputs and allow for non-neutral shift in the production function.
► The empirical model uses panel data on Chinese provinces. We identify a number of key technology shifters and their effect on technical change and TFP growth of provinces are examined.