Innovation and competition are two major pillars in the information technology (IT) industry. In this paper, we examine the causal relationship between product market competition and innovations in the IT industry. We measure the innovations from both the quantity (number of patents) and the quality (number of non-self citations) perspectives. Based on the Herfindahl-Hirschman Index and natural experiments, we find robust evidence that the competition has a positive effect on the innovations of the IT industry. Specifically, after the exogenous shock to the market (import tariff cuts and thus increased industry competition), the number of patents per IT firm increases by 27.3 percent, and the number of non-self citations per IT firm increases by 38.2 percent on average. The effects are more pronounced in the more competitive sectors. Our study highlights the importance of the competition in the IT industry and suggests that the positive effect of competition on innovation in the IT context is likely to be driven by the parallel search effect. Our findings contribute to the recent policy debate and suggest that reducing import barriers may bring important welfare gains through innovations in the IT industry.

This research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. The top five price determinants are identified as room type, city, distance to tourist attractions, number of pictures posted, and number of amenities provided. More importantly, we find that interaction effects between variables can also significantly influence price. Finally, a series of price prediction models are built based on the identified price determinants.

Government websites are currently important for providing information and services to citizens. It is a crucial task to evaluate the performance of each government website. The traditional evaluation processes based on experts are criticised as being subjective and cannot work in real time. This article proposes a framework and automatic assessment system for evaluating the performance of government websites in real time. To test the proposed framework and the automatic assessment system, we evaluate and classify 70 websites from Shaanxi Province of China. This article provides guidance for government agencies, managers of government websites and researchers.