Dynamics and constraints of state-led global city formation in emerging economies: The case of Shanghai

This article seeks to contribute to a better understanding of the role of the state in influencing the formation of global cities in emerging economies, and highlights the complexity of this role due to challenging external environment, divergent interests of the state actors, and the socio-economic and institutional constraints that these actors are under. At an empirical level, it examines the progress of Shanghai in its state-led development as an emerging global city and the respective roles of the nationalcentral and local states in this process

IMPROVING THE DEVELOPMENT MANAGEMENT PROCESS OF THE UNIVERSITIES: WAYS OF INTEGRATION INTO THE GLOBAL EDUCATION SPACE

The basic in changes ranking of national universities in the global educational space were defined, the major directions for development of educational services and academic achievements to ensure growth in ranking were substantiated. Tools for creation of the complex management system of ranking were proposed.The basic in changes ranking of national universities in the global educational space were defined, the major directions for development of educational services and academic achievements to ensure growth in ranking were substantiated. Tools for creation of the complex management system of ranking were proposed

China's Provincial Growth Dynamics

China’s rapid overall growth since 1978 masks significant differences in relative economic performance across its provinces. This paper finds that, while per capita income of poor provinces are catching up with those in the rich, the relative income distribution appears to be stratifying into a bimodal distribution—the coastal provinces gravitating toward one mode, and the remaining provinces toward the other—with economic structure and policies playing important roles in the growth dynamics.Provincial growth; convergence; twin peaks

An Investigation of Firm-Level R&D Capabilities in East Asia

This paper uses a survey of 1,826 firms distributed over ten East Asian metropolitan areas – Jakarta, Kuala Lumpur, Manila, Seoul, and five Chinese cities – to investigate the sources of firm-level R&D capabilities. The analysis identifies the impact of 23 survey variables, classified by openness, human capital, R&D network, and institutional quality, on the efficiency of firm R&D operations and on overall firm performance. These firmlevel results are used to construct composite measures R&D capabilities for each of the 10 metropolitan economies. Using the firm samples, returns to R&D are also estimated for each of the metropolitan areas. Where cross economy comparisons are possible, as they are for Seoul and the five Chinese cities, we find a strong association between overall R&D productivity in these city economies and the composite measures of citywide R&D capabilities. In particular, high composite measures in Seoul and Shanghai are associated with high returns to R&D in those cities. The large productivitywage gaps in the Chinese cities appear to be attracting large and visible investment in R&D operations. Whether R&D wages rise to narrow this gap or investment and technology flows continue to sustain the gap will substantially affect the pattern of R&D operations within the Asian region.http://deepblue.lib.umich.edu/bitstream/2027.42/39969/3/wp583.pd

Higher aspirations: an agenda for reforming European universities

Since the introduction of the Shanghai ranking of the worldâ??s universities it has been clear that European universities are underperforming. This blueprint discusses the potential explanations and points at different reform priorities for higher education in Europe.

Investment Climate in China: province estimates

YesThis paper uses a large firm-level survey to assess differences in performance across regions. A panel data analysis is conducted to explain both productivity and profitability across firms in terms of firm and industry characteristics. Regional dummies are included to pick up additional location-specific impacts and the size of these dummies is used to rank provinces. Province performance is then examined in terms of geography, infrastructure, the policy environment and aspects of the investment climate with the conclusion that the latter plays a major part in explaining provincial differences in performance

A Novel Distributed Representation of News (DRNews) for Stock Market Predictions

In this study, a novel Distributed Representation of News (DRNews) model is developed and applied in deep learning-based stock market predictions. With the merit of integrating contextual information and cross-documental knowledge, the DRNews model creates news vectors that describe both the semantic information and potential linkages among news events through an attributed news network. Two stock market prediction tasks, namely the short-term stock movement prediction and stock crises early warning, are implemented in the framework of the attention-based Long Short Term-Memory (LSTM) network. It is suggested that DRNews substantially enhances the results of both tasks comparing with five baselines of news embedding models. Further, the attention mechanism suggests that short-term stock trend and stock market crises both receive influences from daily news with the former demonstrates more critical responses on the information related to the stock market {\em per se}, whilst the latter draws more concerns on the banking sector and economic policies.Comment: 25 page

Health Biotechnology Innovation for Social Sustainability -A Perspective from China

China is not only becoming a significant player in the production of high-tech products, but also an increasingly important contributor of ideas and influence in the global knowledge economy. This paper identifies the promises and the pathologies of the biotech innovation system from the perspective of social sustainability in China, looking at the governance of the system and beyond. Based on The STEPS Centre’s ‘Innovation, Sustainability, Development: A New Manifesto’, a ‘3D’ approach has been adopted, bringing together social, technological and policy dynamics, and focusing on the directions of biotechnological innovation, the distribution of its benefits, costs and risks and the diversity of innovations evolving within it and alongside it