Debin Fang

TL;DR: In this article, the role of renewable energy consumption and commercial services trade in generating carbon emissions was explored for the first time using a panel of 25 major developing countries during the years 1996-2012.

TL;DR: In this article, the authors apply the stochastic frontier analysis on the impact of green technological innovation on natural resources utilization efficiency taking high-tech industries as the research object, and analyzes the influence factors of natural resources utilisation efficiency.

TL;DR: In this paper, the collective influences of cultural, hotel, and reviewer characteristics on online ratings in the hotel sector were investigated, and they empirically found a negative relationship between the reviewers' power distance and their online hotel ratings, thereby indicating that cultural factor plays a significant role in the customers' online rating behavior.

TL;DR: An improved Gaussian processes regression method for carbon dioxide emission forecasting based on a modified PSO algorithm which can efficiently optimize the hyper parameters of covariance function in the Gaussian process regression is proposed.

TL;DR: In this paper, the authors investigated the driving effect of technological innovation on energy-utilization efficiency in strategic emerging industries and analyzed the critical factors influencing the effect of the technological innovation by the stochastic frontier analysis method.