Dress for success: the effect of exhibitors’ dress conformity and self-construal on attendees’ approach behavior

ABSTRACT

The purpose of the current study is to investigate how attendees’ approach behavior is influenced by exhibitors’ dress conformity. A 2 × 2 between-subjects quasi-experimental design was utilized for this study. Our results showed that conforming dress for exhibitors can lead to a higher level of approach behavior of trade show attendees as compared with nonconforming dress, and the effect of exhibitors’ dress styles on approach behavior is moderated by attendees’ self-construal. Findings of this study provide significant insights for trade show exhibitors and attendees.     

新进入者如何在版权引进市场中有所作为

外版书引进在近现代中国出版史上具有非常重要的地位。我国版权贸易市场渐趋稳定的力量对比格局，给新进入者造成了不小的困惑：好版权抢不到，差版权没法要，夹缝中求生存异常艰难。新入者要改变这种困境就要精准定位，必须贴合本单位现有的资源基础，必须借助社会化分工并灵活创新。     

Economic Impacts of the Possible China–US Trade War

This article uses a multi-country global general equilibrium (GE) model to numerically simulate the effects of possible China–US trade wars. We introduce an endogenous trade imbalance structure with trade cost into the model which helps to explore both tariff and non-tariff trade war effects. Our simulation results show that China will be significantly hurt by the China–US trade war, but negative impacts are affordable. The US can gain under unilateral sanction measures to China, but will lose if China takes retaliation measures. Comparing the effects under mutual trade war, China will lose more than the US. Introducing non-tariff barrier trade wars will intensify the negative effects, and comparatively negative effects to China are larger than to the US. Mexico’s involvement in trade war with the US will strengthen the negative effects and comparatively hurt the US more. Under non-cooperative and cooperative Nash bargaining equilibrium, the US can gain more than China in trade war negotiation, which means the US has stronger bargaining power than China. Additionally, trade wars between China and the US will hurt most countries and the world especially in GDP and manufacturing employment, but benefit their welfare and trade.     

Magic mirror in my hand … How trade mirror statistics can help us detect illegal financial flows

Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.     

Determinants of China's bilateral trade balance in global value chains

This paper identifies the determinants of China's bilateral trade balance using a new measure based on international input–output data, the so-called ‘trade in value-added’ (TiVA), which can prevent double counting in the estimation of bilateral trade balance. Our results show that using a measure based on gross exports, rather than TiVA, causes relatively large overestimation of the impact of the RMB exchange rate on China's bilateral trade balance. This overestimation is mainly because that the increasing production of exports may require increasing intermediate imports as a consequence of international fragmentation of production in global value chains. In addition, our results also show that the impact of FDI inflows on China's bilateral trade balances depends on the position and role of China and its trading partners in GVCs.     

Political Economy of Regional Integration: The Northeast Asian Model Revisited

It is found that the intra-regional trade share or functional integration plays an important role in the institutionalization of regional integration not only in the European Union (EU) but also in Northeast Asia. The crisis factor, which is measured by the regional economic growth rates, is empirically significant in Northeast Asia but not in the EU. This situation confirms the crisis model for Northeast Asia that emphasizes the stimulating role of crisis for the institutionalization of regional integration. However, the political leadership factor is not empirically significant in Northeast Asia and in the EU, and this finding does not support the political leadership model that emphasizes the facilitating role of political leadership for the institutionalization of regional integration.     

Interenterprise Credit and Adjustment during Financial Crises: The Role of Firm Size

Small and medium‐sized enterprises (SMEs) suffered a sharp contraction in their borrowing from banks during the Great Recession. Analyzing a large firm‐level database for European countries, the paper shows that trade credit amplified the liquidity squeeze on SMEs, with adverse effects on their real activity. SMEs sharply increased their net trade credit and thus transferred financial resources to larger firms. Given the large weight of SMEs in the economy of European countries, the liquidity squeeze of SMEs likely contributed to the depth of the output fall and the slow recovery in Europe during the Great Recession.     

Collaboration for R&D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

In this article we use the innovation survey of the manufacturing industry of Peru to identify cooperation behaviors for research and development (R&D) projects among companies and external agents in general. Likewise, we also find cooperation behaviors among the industry and the following external agents: university, technical centers, suppliers, customers, and companies of the same group, competitors, guilds, and consultants. Within the specific agents, the university is considered a cooperation agent for R&D projects. We use the survey of innovation in the manufacturing industry of Peru conducted in 2015, which resulted in 1447 Peruvian companies being surveyed. Evidence was obtained as to the degree of the tie between the industry and external agents for cooperation in R&D projects, giving relevance to variables such as investment, resources, and degree of innovation. Our results show that investment is an important factor for cooperation with external agents. Additionally, companies that have innovated at some point seek to cooperate with external agents. Finally, the importance of the university is demonstrable, thus, companies that invest in R&D seek to cooperate with the university.     

Why you should use high frequency data to test the impact of exchange rate on trade

This study suggests that testing the impact of exchange rate on trade should be done using high-frequency data. Using different data frequencies for identical periods and specifications between the US and Canada, we show that low-frequency data might suppress and distort the evidence of the impact of exchange rate on trade in the short run and the long run.     

Protecting Innovation Through Patents and Trade Secrets: Evidence for Firms with a Single Innovation

Abstract

This paper analyzes the use and effectiveness of patents and trade secrets designed to protect innovation. While previous studies have usually considered patents and trade secrets as substitutes for one another, we investigate to what extent and in what situations the two protection methods are used jointly. We identify protection strategies for single innovation firms and hence overcome the assignment problem of existing empirical studies, that is, whether firms using both protection methods do so for the same innovation or for different innovations. Employing firm panel data from Germany, we find fairly few differences between the determinants for choosing secrecy and patenting. Single innovators that combine both strategies, 39% of the group, tend to aim at a higher level of innovation and act in a more uncertain technological environment. Firms combining both protection methods yield significantly higher sales with new-to-market innovations, providing some evidence for a complementarity of the two protection methods.