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This study constructs a comprehensive, internationally comparative set of foreign trade data for the period 1857–1875. The dataset is constructed using information at the commodity group-level and contains import and export values for the UK, France, the Zollverein, the Netherlands, Belgium, Austria-Hungary, and the United States, itemised by trade partner. The study tackles three basic problems related to the heterogeneity in national statistics of the period: different definitions of aggregates, inadequate ‘official’ pricing, and the ‘proximity bias’, i.e. the misleading practice of crediting imports to bordering countries from where they physically entered, but where they did not originate. After passing successfully a consistency test, the resulting dataset contains harmonised and country of origin-corrected bilateral trade values for 7 central importers, 10 points in time, and 21 commodity groups, along with ad valorem tariff rates for all commodity groups and countries. They offer new detailed insights into the composition and evolution of trade and tariffs in the third quarter of the 19th century. Furthermore, a basic implementation of the gravity equation shows that as a consequence of the proximity bias estimates using uncorrected data are to be taken with care, especially when assessing border effects and the impact of policy variables.

As manufacturers and retailers aim to increase return on marketing investments, value- vs experience-related trade promotions gain attention. These two trade promotions become complicated in the presence of different retail format strategies (generalist vs specialist) and channel structures (direct to retailer vs distributors). Building on trade promotion literature, this study aims to show the main effect of value-related and experience-related trade promotions on retailers’ sales and the moderating role of different retail strategies and channel structures.

The authors use unique panel data from 8 personal care brands with 1,920 observations to test the hypotheses. The authors investigate how consumer goods manufacturer sells products using different channels structures and retail strategies. Estimated panel regressions provide the empirical evidence and robustness analyzes provide extra confidence to the findings.

Results reveal higher retail sales when the manufacturer invests in value-related trade promotions rather than experience-related trade promotions. The results also demonstrate how the manufacturer successfully invests in trade promotion by adequately accounting for channel structure and retail strategy. While temporary price reduction’s positive effect on retail sales is enhanced in generalist retailers (e.g. supermarket stores), shelf display’s positive impact is enhanced in specialist retailers (drug stores).

The authors used unique panel data accounting for 15 months, limiting the findings. The results supported the investment allocation decisions in each period. However, future research may evaluate the effectiveness over a longer period and thoroughly address each investment’s seasonal effects.

The authors unveil how retailers achieve higher sales with value-related trade promotions when compared to experience-related trade promotions. The authors also shed light on the way manufacturers design their relationships with generalist and specialist retailers by working in direct and indirect channels. Trade promotions yield better results when the direct channel structure couples with a retailer’s generalist strategy.

The empirical findings help manufacturers achieve success in trade promotions by developing an equitable evaluation to contrast value- and experience-related promotions accounting for generalist and specialist retail strategies and direct and indirect channels.

In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

We employ a Dynamic GTAP-VA Model to quantitatively evaluate the economic repercussions of the “Chip Act” on the Chinese electronic industries' GVC participation from 2023 to 2040.

The findings depict a discernible contraction in China’s electronic sector by 2040, marked by a −2.95% change in output, a −3.50% alteration in exports and a 0.45% increment in imports. Concurrently, the U.S., EU and certain Asian economies exhibit expansions within the electronic sector, indicating a GVC realignment. The “Chip Act” implementation precipitates a significant divergence in GVC participation across different countries and industries, notably impacting the electronics sector.

Through a meticulous temporal analysis, this manuscript unveils the nuanced economic shifts within the GVC, substantially bridging the empirical void in existing literature. This narrative accentuates the profound implications of policy regulations on global trade dynamics, contributing to the discourse on international economic policy and industry evolution.

We evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

The interaction between policy regulations and global value chain (GVC) dynamics is pivotal in understanding the contemporary global trade framework, especially within technology-driven sectors. The US “Chips Act” represents a significant regulatory milestone with potential ramifications on the Chinese electronic industries' engagement in the GVC.

The significance of this paper is that it quantifies for the first time the impact of the US Chip Act on the GVC participation index of East Asian countries in the context of US-China decoupling. With careful consideration of strategic aspects, this paper substantially fills the empirical gap in the existing literature by presenting subtle economic changes within GVCs, highlighting the profound implications of policy regulation on global trade dynamics.

Trade centers are operationally run by a property manager as a delegate of the property owner. The dimensions of service quality (SERVQUAL), which include tangibles, assurance, empathy, reliability and responsiveness, are vital to be implemented as the duties of property managers when providing service to tenants to maintain tenant satisfaction and property reputation. This study aims to understand the effects of the SERVQUAL dimensions, the role of property management and the quality of rental value on tenant satisfaction and property reputation.

The sample was gathered using the purposive sampling technique with the criteria of being a tenant and kiosk owner in trade center properties in Surabaya. Data were gathered using questionnaires, from which 100 respondents were acquired. It was then analyzed using the partial least square structural equation model (SEM) in the SmartPLS 3.0 program to test the hypothesis.

The results of this study prove that the SERVQUAL dimensions – assurance, empathy and responsiveness – significantly influence tenant satisfaction with the mediating variable of the role of property management. Moreover, the SERVQUAL dimensions – empathy, reliability and responsiveness – significantly influence property reputation with the mediating variable of the role of property management.

Property managers are expected to proactively map out different service measures related to the dimension of satisfaction by conducting service training programs for their employees. In fact, in the post-pandemic period, property managers require new marketing strategies, such as leaseback, to effectively carry out renovations of the trade center’s public facilities and restructure the tenant mix.

Trade centers as trading areas experience management limitations because of the prohibition of mass gatherings during the COVID-19 pandemic, resulting in a limited number of onsite trading. Tenants who have entered into a long-term contract experience loss and rely on the aid of property management to survive. The role and quality of service of property management influence tenants’ satisfaction post-COVID-19 pandemic.

The purpose of this paper is to provide an early assessment of India’s South-South cooperation for trade and technology (SSTT) with East Africa, focusing on Ethiopia, Rwanda, Kenya, Uganda and Tanzania. It aims to analyse the role of SSTT in providing support to targeted sectors.

The paper examines SSTT, focusing on India and East Africa over a specific period (2000–2016) of its emergence, and extends the public sponsorship literature in international business (IB) to better understand the relationship between SSTT and value addition – applying to a particular case study of SSTT interventions in spices.

The paper highlights SSTT as a pathway to support value addition in global value chains (GVCs). Trade between India and East African countries has grown, with three developments over the period of analysis in particular: shifting trade patterns, growing share of intermediate goods trade and differences in GVC insertion. However, East African exports are largely of lower value. Capacity building to support processing capability and thriving markets can encourage greater value addition. Preliminary findings suggest early gains at the margins, as SSTT interventions have been focusing on capacity boosting with buffering and bridging mechanisms for increased volume of trade. Moving up the value chain however requires that specific value-enhancing activities continue to be targeted, building on regional capacities. Our high-level case study for spices suggests that activities are starting to have a positive effect; however, more focus is needed to specifically target value creation before export and in particular higher levels of processing.

While findings are preliminary, policy implications emerge to guide SSTT interventions. There is capacity for building higher value-added supply chains as is evident among East African countries that trade with each other – future SSTT programmes could tap into this and help build capacity in these higher-value value chains. Future SSTT programmes can take a comprehensive approach by aiming at interventions at key points of the value chain, and especially at points that facilitate higher value addition than initial processing. An example is that Ethiopia and Rwanda are likely to benefit from an expanded spice industry, but the next phase should be towards building processing for value-addition components of the value chain, such as through trade policies, incentivising exporters to add value to items before export. From a development perspective, more analysis needs to be done on the value chain itself – for instance, trade facilitation measures to help processers engage in value chains and to access investments for increasing value add activities. (iv), Future research should examine more closely the development impacts of SSTT, namely, the connection between increased trade, local job creation and sustained innovation, as it is these tangible benefits that will help countries in the Global South realise the benefits of increased trade.

The paper underlines how the SSTT approach can contribute to the critical IB and GVCs literature using a theoretical grounded approach from public sponsorship theory, and with a unique lens of development cooperation between countries in the global south and its emerging impact on development outcomes in these countries.

The purpose of this paper is to explore the value added of exports of services, which increasingly involve intermediate inputs to manufacturing and are indirectly embodied in intermediate and finished good exports to the global market earned by Taiwan and South Korea.

This paper uses the World Input-Output Database to examine and compare the competitiveness of service industry between Taiwan and South Korea in China from 1995 to 2011. The author measures the value added of export in two ways: value added in trade (VAiT) and trade in value added (TiVA).

The proportion of domestic (intermediate and final demand) VAiT was created by Taiwanese and South Korean exports to China. The services amount share of value added embodied in Taiwanese electrical and optical equipment (ELE) exports to China increased gradually (38.0–45.7 percent) from 1996 to 2011, that was more than that of South Korea (26.7–23.3 percent). Taiwanese financial and business (F&B) service contributed to Taiwanese ELE production exported to China. In service sectors, the proportion of VAiT of Taiwanese F&B service embodied in ELE exports to China increased annually (9.8–11.5 percent), that was similar to that of South Korea (12.2–11.3 percent). Thus, F&B sector played an increasingly important role in service sectors. Taiwanese F&B promotes the ELE export to China with higher efficiency than South Korea does.

Over the past two decades, the development of information technology and the growth of international specialization and fragmentation of production processes have brought about a global value chains (GVCs) phenomenon in services, which has already been taking place in manufacturing for a long time. Intangible value added of services increasingly involved intermediate inputs from manufacturing and were indirectly embodied in intermediate and finished goods exported to the global market. The focus of this paper is to analyze how the service industry participates in the development of the GVC, with emphasis on the export of ELE production to China in the bilateral trade of Taiwan and Korea with China. In addition to the value-added components, the exports of F&B intermediate products to China have been increasing year by year, and Taiwanese is higher than South Korean. In the bilateral trade between Taiwan or Korea and China, for ELE production exported to China, double counted part of intermediate products is increasing year by year. In terms of the value added of the double counting of F&B exports to China, Taiwan is higher (PDC, 31.23–17.26 percent) than South Korea. (PDC, 8.7–15.12 percent). South Korea and China are not as closely related as Taiwan and China.

This study aims at evaluating the effect of the COVID-19 pandemic on the export trade system for Mauritius during the first half of 2020 (January 2020–June 2020).

An initial analysis of the monthly export time series data proves that on the whole, the series have diverged from their actual trends after the outbreak of the COVID-19 pandemic: observed values are less than those predicted by the selected optimal forecast models. The authors subsequently employ the Bayesian structural time series (BSTS) framework for causal analysis to estimate the impact of the COVID-19 pandemic on the island's export system.

Overall, the findings show that the COVID-19 pandemic has a statistically significant and negative impact on the Mauritian export trade system, with the five main export trading partners and sectors the most affected. Despite that the impact in some cases is not apparent for the period of study, the results indicate that total exports will surely be affected by the pandemic in the long run. Nevertheless, this depends on the measures taken both locally and globally to mitigate the spread of the pandemic.

This study thus contributes to the growing literature on the economic impacts of the COVID-19 pandemic by focussing on a small island economy.

The purpose of this paper is to examine the relationship between trade integration and intra-regional business cycle synchronization using value-added trade data. Most empirical studies analyzing the relationship between trade integration and business cycle synchronization use gross trade data which suffer from double-counting. Double-counting distorts the empirical results on the estimated relationship between trade integration and business cycle synchronization. This paper explores the relationship using value-added trade data to be free from distortions caused by double-counting.

Gross trade data on exports and imports are decomposed into sub-categories following Koopman et al. (2014). Then, value-added data on exports and imports without double-counted terms are built to measure value-added bilateral trade intensity and value-added intra-industry trade intensity. Using this value-added trade intensities, the author run panel regressions for Europe and East Asian countries to examine how value-added trade intensities are correlated with output co-movements.

The paper finds that for European countries, the positive association between trade and business cycle co-movements is more evidently observed and the role of intra-industry trade increasing the business cycle synchronization is also more clearly revealed by value-added trade data. On the other hand, for East Asian countries, value-added trade data reveal that it is very uncertain whether increased trade contributes to stronger synchronization of business cycles and intra-industry trade is truly the major factor which deepens the business cycle co-movements.

First, the paper examines the relationship only by running static panel regression. There is a need to employ different methodologies such as instrumental variable regression or dynamic panel regression. Second, financial integration and policy coordination within a region are also other relevant factors which influence the intra-regional business cycle synchronization. There is a need to examine the relationship using value-added trade data with the variables measuring the degree of financial integration and policy coordination. Third, value-added trade data used in this paper has limited coverage of East Asian countries. There is also a need to extend the value-added data set to cover more countries and industries.

Most empirical literature studying the relationship between trade integration and business cycle synchronization rely on gross trade data. This paper would be the first attempt to study the relationship using value-added trade data. Duval et al. (2014) also use value-added data, but their value-added data are not supported by a solid accounting framework which decomposes a country’s gross exports into various value-added components by source and additional double-counted terms. Value-added data in this paper computed based on Koopman et al. (2014) are the total domestic value exports that are ultimately consumed abroad via final and intermediate exports. The author believes that value-added data in this paper are most relevant in estimating the relationship between trade integration and business cycle synchronization.

The purpose of this paper is to extricate value-added exports in information and communications technology (ICT) industry earned by Taiwan and Korea. Additionally, the authors decompose Taiwan and Korea’s gross exports into various meaningful components.

The authors use the inter-country input-output (ICIO) table which endows with cost structures of industries as well as trade information, facilitating in keeping track of the flow of products and value-added. The ICIO table used in this paper comes from the World Input-Output Database. The authors also use the way Wang et al. (2013) decomposed the intermediate goods exports into various components to provide further insights.

The empirical results indicate that Taiwan and Korea’s ICT export to the world shrink by 47.8 and 40.9 percent when the trades are measured in value-added terms. Taiwan and Korea’s ICT export will also decrease by 75.1 and 57.8 percent. From the viewpoint of value added in trade, the share of value added embodied in Taiwan and Korea’s gross ICT exports continued to decrease and reached 24.9 and 42.2 percent in 2011, while the components of pure double counted terms kept growing in recent years.

With global value chains flourishing in recent years, conventional trade statistics not only fails to highlight the vertical specialization among different countries, but also distorts the measurement of a country’s competitiveness. This paper extricates value-added exports in ICT industry earned by Taiwan and Korea and bring into focus the importance of trade in value added.

This paper examines the network dynamics of the cross-border trades utilizing Social Network Analysis (SNA) based on data obtained from the WTO-OECD Trade in Value Added database from 2000-2011. The main results of this paper are as follows: regarding the top 10 in-degree centrality industries, industries in China, Germany, and the U.S. have emerged as the largest importers of foreign value added, implying that the global production network is dominated by two different types of industries. The first type includes processing and assembling functions in China and Germany. The other type of industry involves foreign value added largely for domestic final demand in the U.S. Secondly, there are also two types of brokerage roles. U.S. industries are operating in a liaison role, while Chinese and German industries are mostly operating as coordinator or gatekeeper. Thirdly, manufacturing industries in China and Germany which have emerged as higher in-degree centrality incur a large portion of their value added from the logistics industry. This suggests that those leading industries with the highest characteristics of hubness in the global production network cannot sustain their network status without efficient utilization of the logistics industry.