Regularization methods are characterized by loss functions measuring data fits and penalty terms constraining model parameters. The commonly used quadratic loss is not suitable for classification with binary responses, whereas the loglikelihood function is not readily applicable to models where...

Purpose – The purpose of this paper is to analyze regional correlation contributions of urbanization rate and tourism revenue, based on the dynamic panel data from 2000 to 2010 of 31 provinces in China. Design/methodology/approach – Based on the Modified Cobb-Douglas and fixed effect...

Purpose: Currently, most research studies focus on ownership reforms and governance reforms, while only a few research studies focus on management system innovations. Based on an evolution of state-owned enterprises’ (SOEs) performance appraisal systems, this paper investigates the influence...