The paper investigates the determinants of productivity growth in China. It also analyses the sustainability of the country's industrial growth by estimating sectoral productivity, accounting for energy usage and emission since the start of the market-oriented reforms in the late 1970s. The...

Porter Hypothesis states that environmental regulation may lead to win-win opportunities, that is, improve the productivity and reduce the undesirable output simultaneously. Based on directional distance function, this paper proposes a novel dynamic activity analysis model to forecast the...

International trade has been playing an extremely significant role in China over the last 20 years. This paper is aimed at investigating and understanding the relationship between China's macro-economy and oil price fromthis newperspective. We find strong evidence to suggest that the increase of...

The development of shadow banking system in China catalyzes the expansion of banks' off-balance-sheet activities, resulting in a distortion of China's traditional credit expansion and underestimation of its commercial banks' overall risk. This paper is the first to incorporate banks' overall...

We use the strengthening of China's emission target control regime during the Eleventh Five-Year Plan period as a quasi-natural experiment to study the impact of strengthened environmental regulation on firm's emissions and other economic performances, and find that more rigorous environmental...

The FinTech development is expected to provide fertile soil for corporate digital transformation. Using the corporate digital transformation index creatively constructed in this paper, we verify that the development of regional financial technology can significantly promote corporate digital...

Purpose With China’s economic growth slowing down and the growth rate of fiscal revenue decreasing, the pressure on local government debts is further increasing. Under this background, it is of great significance to clarify the relation between local government debts and China's economic...

Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to...

In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...

Recurrent Support Vector Regression for a Nonlinear ARMA Model with Applications to Forecasting Financial Returns Abstract: Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure to forecast nonlinear ARMA model based simulated data...