Studies have shown that the previously growing inequality in China has stabilized and even declined since 2008 (Kanbur et al., 2021), nevertheless, the drivers of the latest trans-formation in income inequality remain to be unraveled. We address this research gap by examining the changes in the...

This work presents a set of neural network (NN) models specifically designed for accurate and efficient fluid dynamics forecasting. In this work, we show how neural networks training can be improved by reducing data complexity through a modal decomposition technique called higher order dynamic...

Purpose: The purpose of this paper is to enhance the forecasting performance of grey model and generate accurate prediction values of Chinese carbon emissions.Design/methodology/approach: A novel grey prediction model with multi-projection is designed. It adapts to the data characteristics,...

Identifying leading industries in developing countries in the long run is essential to formulate economic policy. This paper presents a simple way to identify these leading industries using a new decomposition technique modifying the traditional decomposition method, which uses the...

Over 2009-2019 the seemingly inexorable rise in health care’s share of GDP markedly slowed, both in the US and elsewhere. To address whether this slowdown represents a reduced steady-state growth rate or just a temporary pause we specify and estimate a decomposition of health care spending...