Abstract:The characteristics of the smart city industry and its effects on the national economy of Korea are investigated using input-output analysis. The definition and industrial classification of a smart city are established using the Delphi technique for experts in various fields, from information and communication technologies (ICT) to governmental policies for urban matters. The results of the analysis, including the production, value added and employment induction effects, show that the smart city industry has intermediate characteristics between ICT and urban construction industries, indicating that acquisition of the competitive edge of both the ICT and construction industries is the key to the success of the smart city industry. The crucial industries related to the smart city industry are identified based on an analysis of the forward and backward linkage effects, the results of which suggest the importance of the relevant service industries. The economic effects on the national economy induced by the governmental program for smart city demonstration are estimated using input-output analysis results. Overall, the results of this study indicate that facilitation of the smart city industry plays a key role not only in the sustainable city, but also in the growth of the national economy.

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Academics generally should meet both teaching duty and research performance requirements. Since their work time is finite, academics need to allocate time for research, teaching, and other types of work. This means that universities or governments might enhance the efficiency of their faculty systems or educational policies by understanding academics’ preferences for choice and allocation of their work time. We analyzed the work time allocation preferences of 450 Korean academics in science and engineering fields based on the multiple discrete–continuous extreme value (MDCEV) model. We classified work time into either of research, teaching, or other tasks and investigated the relationship between academics’ preferences in choosing and allocating their work time and faculty system (e.g., tenure), individual characteristics (e.g., research productivity) and external shock (e.g., COVID-19). Analysis results show that academics with either of tenure, higher research productivity, or commercialization experience preferred to allocating their work time firstly to research, i.e., rather than to teaching or other tasks, while this was not the case for the academics after the pandemic. In general, academics appeared not to prefer allocating their work time firstly to teaching. Implications of our study are twofold. First, the higher education sector needs to incentivize academics’ teaching time allocation for enhanced effectiveness of education. Second, universities and governments urgently need systems and policies to facilitate academics’ research time allocation for enhanced research productivity as we find deteriorated preference for research time allocation after COVID-19.