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This study aims to build a two-country monetary union dynamic stochastic general equilibrium (DSGE) model with housing to assess how different shocks contributed to the increase in housing prices and credit in the European Economic and Monetary Union. One of the countries is calibrated to represent the core group in the euro area, while the other one corresponds to the periphery.

In this paper, the authors explore how a liquidity shock (or a decrease in the interest rate) affects house prices and the real economy through the asset price and the collateral channel. Then, they analyze how a house price shock in the periphery and a technology shock in the core countries are transmitted to both economies.

The authors find that a combination of an increase in liquidity in the euro area coming from the common monetary policy, together with asymmetric house price and technology shocks, contributed to an increase in house prices in the euro area and a stronger credit growth in the peripheral economies.

This paper represents the theoretical counterpart to empirical studies that show, through macroeconometric models, the interrelation between liquidity and other shocks with house prices. Using a DSGE model with housing, the authors disentangle the mechanisms behind these empirical findings.

The digital economy has become a new engine for economic development, promoting the upgrading and transformation of traditional industries as well as fostering emerging industries and forms of business. Nonetheless, how does the digital economy affect innovation? The research objective is to explore the specific impact of the digital economy on innovation output.

This paper innovatively adopts the dynamic panel data model (DPDM) to carry out an empirical study on the impact of the digital economy on innovation output, through the observation of 30 provincial-level administrative regions in China. Furthermore, the paper innovatively analyzes the impact of different dimensions of the digital economy on innovation output and the impact of the digital economy on different dimensions of innovation output.

It is found that the digital economy is conducive to boosting innovation output considering innovation continuity. Specifically, the driving impact of core industries and enterprise application of digital economy on innovation output is more prominent, but the driving impact of infrastructure and personal application on innovation output is not fully played. Meanwhile, the driving impact of the digital economy on the innovation output quality is more significant than that digital economy on the innovation output quantity.

This study employs a DPDM for the first time to investigate the specific impact of the digital economy on innovation output, and contributes to the existing literature on the digital economy and digital economy-driven innovation. The findings offer a comprehensive explanation for the impact of the digital economy on innovation output, which has reference value for the formulation of innovation policies driven by digital economy, thereby providing impetus for the sustained and stable development of China's economy.

Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and enterprises must solve. Accurately identifying the “strangled” problem will help China accelerate the realization of high-level scientific and technological self-reliance and win the battle against key core technologies.

Combined with the characteristics of key core technologies, the key core technology evaluation system was constructed from four dimensions: technology innovation, technology radiation, technology economy and technology safety. We adopt the entropy TOPSIS method to evaluate the patents, and the patents with the top 5% scores are identified as key core technology patents. Then, this study identifies key core technology “strangled” problems in three dimensions: technology value advantage, competitive advantage and quantitative advantage.

Taking the patent data of the global new generation information technology industry from 2011 to 2023 as a sample, 178 moderately “strangled” technologies and 49 severely “strangled” technologies are selected. The study results are consistent with the current situation of the new generation information technology industry’s development, and verify the feasibility and reliability of the key core technology “strangled” problem identification model.

This study uses patent data to identify key core technologies and “Strangled” in the new generation information technology industry. It can provide a reference for relevant national departments and agencies, as well as universities and enterprises.

Core economy is defined as the economic activity, which is mostly underestimated as the non-market economy. As a result of certain concurrent studies, it is however estimated to be 25% of the economy of the USA with 1.91 trillion USD for the year 1998, which can’t be measured directly in spite of generating direct benefits. District bazaars and marketplaces and the street economy, an intersection point of the ones tired of suppression and tyranny of the Landowners and Sheikhdom, snowed under the sectarian conflicts, the ones feeling outcasted from the society, who would like to enjoy the benefits of modern life, the ones without the sufficient capital to establish a business or a regular business, the ones who would like to contribute to their families, the ones who are outside and excluded from the professional life; some of the ones are thugs and ramblers and lumpen, and the ones with no jobs and got nothing as defined as ‘Bosiacs’ by Maxim Gorki.

As companies grow and increase the number of products they have on offer, they generally change and adapt their organizational structures, in order to arrange their resources and product mix in ways that will create value. We analyze various corporate structures that have been adopted by U.S., European, and Japanese companies, in the context of the resource‐based view of the firm. These corporate structures include functional, divisional, conglomerate diversification, core competence‐based diversification, and keiretsu. We also identify an emerging structure. This recent development is a network of alliances, aimed at pursuing economies of scale, scope, and speed.

Recurrent “methodological disputes” have haunted the social sciences, again and again polarizing the case-oriented quest for specification against the natural science inspired quest for general, high-level theory. As a consequence, too much social science research is captured in either one of two vicious circles: ever more highly specified monographic case studies or preoccupation with periodically shifting general theories. The interaction of these two circles increases the risk of widespread amnesia: as social scientists are either bogged down in a stream of cases or flying high with the most recent grand (meta-)theories, social science forgets the actual empirical knowledge that is being meticulously created, maintained and revised in the daily handicraft carried out by a growing mass of researchers.

Digitally intermediated peer-to-peer exchanges have accelerated in occurrence, and as a consequence, they have introduced an increased pluralism of connotations. Accordingly, this paper aims to assess user perceptions of the interplay between the sharing, access, platform, and community-based economies.

The sharing, access, platform, and community-based economies have been systematically tracked in the social media landscape using Social Media Analytics (SMA). In doing so, a total material of 62,855 publicly posted user-generated content concerning the four respective economies were collected and analyzed.

Even though the sharing economy has been conceptually argued to be interlinked with the access, platform, and community-based economies, the empirical results of the study do not validate this interlinkage. Instead, the results regarding user perceptions in social media show that the sharing, access, platform, and community-based economies manifest as clearly separated.

This paper contributes to existing literature by offering an empirical validation, as well as an in-depth understanding, of the sharing economy's interlinkage to other economies, along with the extent to which the overlaps between these economies manifest in social media.

The digital economy, which heralds the start of the Fourth Industrial Revolution (IR4), is upon us. What can history teach international business scholars about how firms are likely to respond to this new form of technological change? Who are the likely winners or the likely losers? For 30 years, the author has lived through, studied, and written about the Third Industrial Revolution and other major environmental shocks, ranging from new entrants to academia to regional integration to outbreak of war, looking at the fundamental issues of how individuals, firms, communities, and countries respond to and are affected by life-changing events. In this chapter, the author tells seven brief stories about living through and studying “shocks and responses.” Perhaps, some of these stories may provide useful lessons to the scholars of IR4.