Permit markets,carbon prices and the creation of innovation clusters

Innovation clusters combining public and private effort to develop breakthrough technologies promise greater technological advances to slow down climate change. We use a multi-country model with an emission trading system to examine whether and how international climate policy can incentivize countries to create such innovation clusters. We find that a minimal carbon price is needed to attract applied research firms, but countries may nevertheless fail to invest in complementary research infrastructure. We construct a mechanism that leads to innovation clusters when emissions targets are set before uncertainty surrounding technological developments is resolved. It is a combination of low permit endowments for the country with the lowest costs to build the needed infrastructure, compensation for this country by profits from permit trade, and maximal possible permit endowments for the remaining countries. We outline how the EU-ETS can be further refined according to this mechanism.     

Domestic political connections and international expansion: It's not only ‘who you know’ that matters

Former politicians on the board of directors bring to the firm domestic political connections and political knowledge. Previous research has mainly highlighted the role of contacts, without fully recognizing the role of political knowledge accumulated at home. By focusing on the effect of domestic political connections on foreign direct investment, we show that domestic political knowledge also shapes foreign expansion. We argue that contacts provided by former politicians may not be useful for foreign expansion whilst their political knowledge can be of help in countries with discretionary governments and with similar institutional environments to the one of the home country.     

Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

Bridging the great divide? Making sense of the human rights-CSR relationship in UK multinational companies

Human rights (HR) and corporate social responsibility (CSR) are both fields of knowledge and research that have been shaped by, and examine, the role of multi-national enterprises in society. Whilst scholars have highlighted the overlapping nature of CSR and HR, our understanding of this relationship within business practice remains vague and under-researched. To explore the interface between CSR and HR, this paper presents empirical data from a qualitative study involving 22 international businesses based in the UK. Through an analysis based on sensemaking, the paper examines how and where CSR and HR overlap, contrast and shape one another, and the role that companies’ international operations has on this relationship. The findings reveal a complex and multi-layered relationship between the two, and concludes that in contrast to management theory, companies have bridged the ‘great divide’ in varying degrees most notably in their implementation strategies.     

Accumulation and distribution of human capital: the interaction between individual and aggregate variables

The paper analyses the joint evolution of accumulation and distribution of human capital in an OLG framework. Dynamics arises from the interplay between human capital distribution and individual variables—inherited human capital and inborn ability. Such interaction drives individual investment in human capital and accumulation in the economy. According to initial distribution the model provides different dynamical behaviours linking growth and inequality; in general economies with a more equal initial distribution grow faster but other cases are possible. Moreover, since the model provides an endogenous threshold for investing in human capital, the distribution is characterised by multi-modality.     

Derivative activities and the risk of international banks: A market index and VaR approach

The results of a comparison of international banks using a three-factor multi-index model and a modified value-at-risk (VaR) analysis indicate that the use of options increases the interest rate beta for all banks, while both interest rate and currency swaps generally reduce risk. The results are the strongest and the most consistent for U.S. dealer banks, followed by European banks, and then Japanese banks. Furthermore, the evidence suggests that the VaR approach to risk management can effectively be used by both domestic as well as international banks, although the results appear to be somewhat sensitive to the regulatory environment in which the bank operates.     

Lead markets, innovation differentials and growth

This article suggests that the specialization of countries in international trade is determined by the lead-lag market pattern of national markets. Many internationally successful innovations have been adopted first in one country while other countries initially either preferred other designs or an established product. A model for the international diffusion of innovations is presented in which nationally preferred innovation designs compete to become a globally dominant design. In this model, there are country-specific market attributes that increase the likelihood that the choice a country makes among alternative technologies is followed around the world. It is argued that technological knowledge gaps are not the origin of an international competitive advantage. Instead, a country gains a competitive advantage because a specific innovation design was adopted earlier than in any other country. This gives local firms a head start in producing, gathering marketing intelligence and securing the property rights of a globally successful innovation. In countries with lag market characteristics, domestic innovations are less likely to get adopted worldwide. Lag markets often switch from a domestic innovation design to a foreign innovation design, which increases imports. The lead-lag market explanation of trade specialization has implications for national policies. In this model domestic innovations do not always foster exports; idiosyncratic innovations induced by lag market contexts can hamper the export chances of local firms and in the end lead to an increase in imports. It is suggested that in order to increase exports, national policies have to distinguish between a domestic lead and lag market context in each industry. While in a lead market context, traditional policy instruments that enhance the rate of innovations are effective, in a lag market situation national follower strategies are more appropriate.     

《国际贸易实务》教学之"七用"谈

我国加入WTO后，对高校的国际贸易实务教学提出了更高要求，文章以七个方面总结了教学工作中的若干经验。     

Leaving state sector employment in Russia

I analyse the reallocation of labour and human capital from the state sector to the non‐state sector and non‐employment in Russia. I use a nationally representative household dataset, the Russian Longitudinal Monitoring Survey, to study sectoral mobility in early transition using summary measures of mobility and multivariate discrete choice models. The results show that sectoral mobility varies between different skill groups, and in particular that those with university education, with supervisory responsibility and in white‐collar occupations are less likely to leave state jobs for both non‐state employment and non‐employment. The results suggest that in the early stages of transition in Russia mismatch of skills across state/non‐state employment was significant and that non‐state employment consisted mostly of low skill, ‘bad’ jobs.     

The Importance of Sectoral Differences in the Application of Complementary HRM Practices for Innovation Performance

Recent theoretical and empirical analysis in the field of economic organization has focused almost exclusively on identifying organizational practices and complementarities between such practices, without regard for the type of activity in question. However, organizational theory suggests that more knowledge-intensive production activities often involve higher degrees of strategic uncertainty for firms and performance ambiguity in relation to individual employees. Therefore, the 'organic' or 'clan' form of organization - involving the application of 'new' HRM practices - is expected to perform better within knowledge-intensive sectors of the economy, as compared to other sectors. A sample of 726 Danish firms with more than 50 employees in manufacturing and private services is studied. The results show that HRM practices are more effective in influencing innovation performance when applied together, as compared with situations in which individual practices are applied alone. In other words, organizational complementarities obtain. Moreover, the application of complementary HRM practices is more effective for firms in knowledge-intensive industries ('high' and 'medium' knowledge-intensive industries).