Technological innovation and high-quality economic development are inevitable requirements of sustainable development, and the digital economy has gradually become a new engine to enhance technological innovation and the high-quality development of China’s economy. Deeply discussing the effect of digital economy on high-quality economic development and clarifying the mechanism behind it can effectively grant the boosting power of digital economy to China’s high-quality development, which is of great practical significance to China’s sustainable economic development. In this study, the mechanism, effect, and regional heterogeneity of the impact of the digital economy on the level of high-quality economic development in 30 Chinese provinces from 2011–2019 were measured and empirically tested using a mediating effects model and a spatial Durbin model, among others. The results showed that the overall level of digital economy and high-quality development is not high, and there were both high agglomeration and low agglomeration, with obvious spatial path dependence and spatial lock-in. Digital economy could promote the high-quality development level of the economy, and the spatial spillover effect was remarkable. In addition, the function of digital economy in promoting high-quality economic development in the eastern, central, and western regions was gradually weakened. Besides, the technological innovation was an important transmission path of digital economy to high-quality economic development. Based on these findings, it is proposed that decision-makers should strengthen digitalization efforts so that the digital economy can become a powerful tool to narrow the digital divide. Further, the dynamic and differentiated digital economy development strategy should be implemented to reduce regional development imbalances in an effective manner.

This paper theoretically and empirically investigates the effects of different emotional labor strategies on frontline employee creativity in the context of service industry, and it also studies the mediating role of frontline employee creativity in the relationships between frontline employees emotional labor strategies and the two aspects of customer service performance. Based on the data of 424 employeesupervisor dyads in China, the empirical results indicate that surface acting decreases employee creativity and extra role performance, while deep acting increases employee creativity, role-prescribed performance and extra role performance; employee creativity mediates both the negative influence of surface acting on extra role performance and the positive influences of deep acting on role-prescribed and extra role performances. The results have some theoretical and practical implications on service creativity and emotion management in service industry.

The state of Maryland aims to double its transit ridership by the end of 2020. The Maryland Statewide Transportation Model (MSTM) has been used to analyze different policy options at a system-wide level. Direct ridership models (DRM) estimate ridership as a function of station environment and transit service features rather than using mode-choice results from large-scale traditional models. They have been particularly favored for estimating the benefits of smart growth policies such as Transit Oriented Development (TOD) on transit ridership and can be used as complementary to the traditional four-step models for analyzing smart growth scenarios at a local level and can provide valuable information that a system level analysis cannot provide. In this study, we developed DRMs of rail transit stations, namely light rail, commuter rail, Baltimore metro, and Washington D.C. metro for the state of Maryland. Data for 117 rail stations were gathered from a variety of sources and categorized by transit service characteristics, station built environment features and social-demographic variables. The results suggest that impacts of built environment show differences for light rail and commuter rail. For light rail stations, employment at half-mile buffer areas, service level, feeder bus connectivity, station distance to the CBD, distance to the nearest station, and terminal stations are significant factors affecting ridership. For commuter rail stations only feeder bus connection is found to be significant. The policy implications of the results are discussed.

Employing a sample of 1476 firms and 5130 firm-years in China, we examine the relationship between social capital and macro organizational innovation. Based on the relational view and social capital theory, this study investigates how the top management team (TMT) inside an organization bridges and bonds social capital to influence innovations combined with organizational network position. Through empirical tests based on listed companies in the whole network of the interlocking directorate using the dataset of listed companies in China from 2008 to 2014, the study finds that: (1) TMT global social capital has an essential positive effect on innovation, (2) TMT overseas social capital has significant positive consequences on prestige and power (network position), (3) network position mediates the relationship between TMT overseas social capital and innovation, and (4) TMT bank social capital has a moderating effect on the relationship between network position and innovation.

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