Technological innovation is closely related to the green total factor productivity (GTFP), which has played an important role in China’s sustainable development goals. However, relationship between technological and GTFP may change due influence of economic factors such as service-oriented upgrading industrial structure. This study used a panel dual-threshold regression model perform empirical ...

background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime im­portance in designing and programming municipal solid waste management system. this study tests the short-term pre­diction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...

The global economy is moving into a new era characterized by digital and green development. To examine the impact of industrialization development on energy supply chain, in relation to sustainable China’s security, we discuss nonlinear transmission mechanism chain industry using panel threshold regression model based sample data provincial natural gas China from 2006 2020. We found that there ...

Motivated by the need of estimating the main spawning period of North Sea cod, we develop a common transfer function model with a panel of contemporaneously correlated times series data. This model incorporates (i) the smoothness on the parameters by assuming that the second differences are small and (ii) the contemporaneous correlation by assuming that the errors have a general variance-covari...

in this article, i try to find out what are the effects of financial variablessuch as ratio of private sector deposits to gdp and ratio of bank credit toprivate sector to gdp and value of stocks trade in tehran stockexchange to total current value of stocks and private sector liquidity togdp on total investment.we use two models to test our hypothesis the first is a model for iranand the second...

Upscaling based on the bandwidth of the kernel function is a flexible approach to upscale the data because the cells will be coarse-based on variability. The intensity of the coarsening of cells in this method can be controlled with bandwidth. In a smooth variability region, a large number of cells will be merged, and vice versa, they will remain fine with severe variability. Bandwidth variatio...