Abstract:In order to realize economic and social green development, to pave a pathway towards China's green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes) Data Envelopment Analysis (DEA) model to obtain the green development frontier surface based on 31 regions' annual cross-section data from 2008-2012. Furthermore, in order to classify the regions whereby assessment values equal to 1 in the CCR model, we chose the Super-Efficiency DEA model for further sorting. Meanwhile, according to the five-year panel data, the green development efficiency changes of 31 regions can be manifested by the Malmquist index. Finally, the study assesses the reasons for regional differences; while analyzing and discussing the results may allude to a superior green development pathway for China.
While perceived waiting time can undermine user evaluation and cause application abandonment, there is little scientific research on waiting in mobile applications. This paper incorporates three mobile interactivity features (ubiquitous connectivity, active control, and responsiveness) into the model and examines the mediating role of cognitive absorption and the moderating role of perceived procedural justice between these features and perceived waiting time in a short-waiting application. The researchers empirically examine the model using data from 468 uses of the ride-sharing mobile application. The results reveal that mobile interactivity can directly and indirectly (via cognitive absorption) lead to more tolerance in perceived waiting time. The findings elicit several implications for theories and practice.
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