This paper uses a Directional Distance Function (DDF) and the Malmquist–Luenberger Productivity Index to estimate the changing patterns of ‘green’ total factor productivity (GTFP) growth of 38 Chinese industrial sectors during the period 1980–2010. Unlike the measures of traditional...

To analyze China industrial sustainable development featured with high energy consumption and high CO2 emission, this paper constructs the input and output panel data of China’s 38 sub-industries, estimates their productivity and carries out the green growth accounting based on translog...

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’smacro-economy and oil price fromthis newperspective. We find strong evidence to suggest that the increase...

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’...

The conflict among natural resources, environment and economic development is one of the major problems to be solved in the current world. Sustainable development is a powerful tool on the way toward seeking for harmonious development. Due to a lack of resources and fragility in ecosystems, the...

Since solid oxide fuel cells (SOFC) produce electricity with high energy conversion efficiency, and chemical looping combustion (CLC) is a process for fuel conversion with inherent CO2 separation, a novel combined cycle integrating coal gasification, solid oxide fuel cell, and chemical looping...

Predicting default risk is important for firms and banks to operate successfully. 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 predict the default risk of German firms. Our...