Analyzing the TFP Performance of Chinese Industrial Enterprises

Abstract

After nearly four decades of rapid growth, the China economy is faced with various challenges. The 2008 crisis would have served as the last straw as China experienced falls and volatilities in industrial output, export and foreign direct investment. The new policy focuses on expansion of domestic consumption and rebalancing. Given the unreliability of Chinese products, there is a need to rebuild product acceptability and market confidence. The structure of industrial enterprises, especially the small-and medium-sized enterprises, will play a crucial role in the next phase of development in the China economy. This paper uses the data on Chinese industrial enterprises to estimate the productivity performance of enterprises across region and industries. The discussion is placed on the impact of the 2008 financial crisis on the China economy and industries enterprises. By using a simple methodology and OLS regression analysis on the estimation of total factor productivity, the empirical results show that SMEs and non-SMEs do perform differently in different industries and across regions, but SMEs suffered more than nonSMEs since the 2008 crisis.

Big Data Analytics and Discrete Choice Model for Enterprise Credit Risk Early Warning Algorithm

“…e time of pairing is the first two years of the financial failing firm before ST, in the (t-2) year. After pairing, a total of 396 samples were obtained, including 240 small and mediumsized enterprises (SMEs) and 156 large enterprises (LEs) [14]. en, 180 samples were randomly selected from the SMEs group as the estimated samples to build the model, and the remaining 60 were used as verification samples to test the warning effect of the model.…”