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This study aims to explore the possibilities for regional (intra and inter) trade between Central Asia and South Asia (CASA) by examining several frameworks that impact the economic integration of these regions.

The study uses five indices, specifically the export diversification index, export survival rates, export sophistication, revealed comparative advantage and intra-industry trade index in South and Central Asia, from 2005 to 2021.

The findings show a twofold increase in the potential trade value between the two regions compared to the actual level. The intra-regional trade in Central Asia accounts for less than 5% of trade with all countries, whereas the intra-regional trade in South Asia accounts for 1.5%, and the inter-regional trade accounts for between 0.2 and 4% of total trade to all destinations. The intensity of trade measurements shows that inter-regional trade flows are modest because they make up a relatively small percentage of the entire trade volume, which includes all destinations, ranging from 0.2 to 4 %.

These findings have a significant impact on the successful implementation of trading-related measures, initiatives and institutional mechanisms for encouraging improved trade between and within both regions.

Export diversification initiatives aim to provide favourable outcomes for all parties involved, focusing on expanding the range of goods and services exchanged. CASA countries with higher diversification have shown more favourable outcomes than those relying on a restricted range of products. The authors expect policies promoting a broader array of exports to boost market shares, while maintaining a narrow focus may hinder new export prospects. In addition, regional value chains and policy initiatives promoting trade and investment could lead to increased value additions to exports, technological transfers and job creation.

The study emphasises the significance of trade-related policies, programmes and institutional mechanisms in promoting trade between CASA. It emphasises the need for policies that support investment and trade, adopt new requirements of the Agreement on Trade Facilitation and promote diversity and latency.

Based on economic analysis, the study offers practical insights and strategies for businesses in the CASA regions. It also provides analytical tools for academics and decision makers, as well as policy and programme recommendations for government agencies, development partners, researchers and individuals interested in trade dynamics in these regions.

As one of the world's most valuable traded commodities, the market for coffee beans has grown enormously in recent years. The paper aims on analyzing the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia.

Data collected in this paper through reliable channels include nominal import value, exchange rate, production of total industry, etc. Independent and dependent variables are obtained through conversion. Since the nonlinearly adjusted exchange rate differs significantly from the linearly adjusted one for the export trade of Brazilian coffee beans, this paper develops the autoregressive distributed lag (ARDL) and nonlinear ARDL frameworks and demonstrates their application through asymmetric cointegration and error correction models.

The results of this paper show that imports of Brazilian coffee bean exhibit a more dramatic asymmetry compared to Colombia's coffee bean imports. The results of this study contribute to the import trade of non-oil commodities in developing countries, particularly Brazil, and enrich the existing literature on nonlinear exchange rate adjustments.

The export of Colombian coffee beans is not as old as Brazil, and it was not until much later that Colombia began to export coffee beans to the rest of the world.

The present study is an addition to the literature of agricultural trade. The authors analyze the nonlinear exchange rate pass-through in Turkish coffee bean imports from two important sources in South America: Brazil and Colombia. Different from the current mainstream research on oil commodity trade, this paper focuses on international trade from the perspective of coffee beans, which can enlighten the practice in this field.

Given the heated academic and policy debate regarding the fate of garment manufacturing in a high-wage developed economy in the 21st century, this study aims to explore the production and export strategies of apparel “Made in Ireland.”

A logistic regression analysis of 4,000 apparel items at the stock keeping unit (SKU) level sold in the market from January 2018 to December 2021 was conducted to evaluate the production and export strategy of apparel “Made in Ireland” versus foreign-made imported items sold in Ireland.

The statistical results showed that Ireland’s apparel manufacturing sector survived the market competition by leveraging non-price competing factors, such as distinct product assortment, cultural heritage, history and traditional craftsmanship.

The findings challenged the conclusions of the classic trade and economic development theories regarding the trajectory of the garment manufacturing sector and called for a rethink about the strategies for expanding garment manufacturing in a high-wage developed country in today’s global economy.

Global value chains (GVCs) are facing unprecedented pressures arising from structural changes in the global economy and exogenous shocks including military conflicts and the aftermath of COVID-19. Considering the importance of value chain analysis in the current environment, the purpose of the study is to provide an up-to-date overarching global value chain literature review study that offers suggestions for research and practice to ensure resilient value and supply chains.

The authors provide a comprehensive review of literature of the value chain, commodity chain and production network research based on a systems overview of 5,628 publications to identify the extent of research on vulnerabilities and resilience of value chains globally and gaps therein. To provide the systems overview, the authors use scientometric content co-occurrence analysis methods to analyze and identify gaps within the existing literature.

Based on this overarching review of the literature, the authors identify gaps in the literature primarily related to the issue of unpreparedness of value chains to exogenous shocks. The authors suggest future research directions and propose an integrative model along with recommendations for restructuring value chains for resilience amidst exogenous shocks.

This study carries out an overarching study of interdisciplinary GVC literature in the age of geopolitical and societal challenges and is thus able to offer holistic insights and propositions for future research.

This study aims to analyze the export competitiveness of Bangladesh's apparel industry by identifying the specific product categories that help sustain its export comparative advantage.

Compound annual growth rate (CAGR) and market share (MS) are calculated between 2011 and 2020 at the two- and four-digit level apparel product categories within the harmonized system (HS) to analyze the industry’s growth and export dominance. Trade competitiveness (TC) at the four-digit level, revealed comparative advantage (RCA) and normalized revealed comparative advantage (NRCA) at the two-, four- and six-digit-level apparel product categories are computed for the same 10-year period to investigate the industry’s export competitiveness. Major export destinations of the top 5 exporting product categories are identified to understand the factors facilitating the industry’s growth. A non-parametric Spearman rank correlation analysis evaluated the association between the RCA and NRCA indices.

Among the 34 product categories at the four-digit level, 29 consistently demonstrated an export comparative advantage, as did 34 out of 217 six-digit level sub-categories. In contrast, 12 sub-categories at the six-digit level consistently exhibited a comparative disadvantage in Bangladesh's export competitiveness. Furthermore, the TC measure identified 28 categories at the four-digit level with a robust comparative advantage. 30 categories displayed a positive CAGR, and Bangladesh asserted significant market dominance over 26 product categories at the four-digit level.

This study's implications are significant for various stakeholders in Bangladesh and other apparel-exporting industries, encompassing government entities, industry officials, policymakers, investors, researchers and students. Nevertheless, limitations arise from the study's reliance on RCA and NRCA as competitiveness indicators, particularly its adoption of a macro-level approach for measurement without exploring a micro-level perspective. This constitutes a notable constraint in the study's analytical framework.

This study contributed novelty and enrichment to the existing academic literature by identifying distinct apparel product categories that contribute to the industry's growth.

The main goal of this paper is to examine the evolution of Latin American productive integration in terms of the regional value added incorporated in intra-regional exports of Argentina, Brazil, Chile, Colombia, Mexico and Peru. In addition, the study traces the trade and productive integration trajectories for each of these countries from 1995 to 2015.

Based on the use of OECD’s global ICIO input-output tables, this paper applies the methodological framework by Wang et al. (2018) for the analysis of trade flows at the bilateral level, which allows breaking down the value of gross exports of each sector-country, depending on the origin of the value added contained in exports, as well as their use.

The estimates show very low shares of value added from regional partners in the intra-regional exports of the countries studied. Conversely, the weight of the value added incorporated in these exports by countries outside the region has increased in tandem with China’s expanding involvement in Latin America. This development, along with the downward trend in domestic value added incorporated in exports, indicates a lack of a regional integration process of any depth.

This article addresses an economic problem of conventional importance from a global value chain perspective using a novel methodology based on the use of global input–output tables.

The authors empirically examined the theoretically recognized industrial linkages between manufacturing and services from the trade perspective. In particular, they confirmed the trade effect of manufacturing on services, given that global value chain fragmentation pervades and splits manufacturing and services segments separately in developed and developing countries.

Based on observations of 47 countries with manufacturing and service trade data from 1990 to 2020 and with gravity model specification, the authors primarily used the Poisson pseudo-maximum likelihood (PPML) estimation with multiple levels of fixed effects. Considering that many zero values are included in the dependent variable and potential endogeneity, other methods such as Tobit regression, Heckman estimation and two-stage least squares estimation (2SLS) are used. Subsample estimation also supplemented the empirical research.

The results showed that manufacturing trade is a stepping-stone rather than an obstacle to service trade. This finding exhibited significant robustness under different model specifications, instrumental variable estimation and subsample checks. Moreover, in contrast to the north–north country ties, manufacturing trade between northern and southern countries has played a prominent stepping-stone role; meanwhile, manufacturing trade among core–peripheral countries has a considerably more significant impact than the outcomes of core–core and peripheral–peripheral countries.

The authors provided direct clarification and revealed that trade in manufacturing remains the demand basis for service trade. As trade in manufacturing and services are typical phenomena of transnational production linkages, the authors suggested exploring the underlying role of global value chain (GVC) fragmentation and the offset and even barrier effect of biased institutional arrangements on GVC fragmentation.

The purpose of the paper is to explore the economic repercussions of potential India–USA free trade agreement (FTA) on the trade of agricultural commodities at HS 2-digit level.

The analysis is undertaken by assuming tariff reduction in a phased manner using the World Integrated Trade Solutions (WITS)-SMART partial equilibrium model to identify the trade creation and trade diversion effects.

Overall results show that both the trading partners gain from the proposed FTA. Trade creation dominates over trade diversion in India's analysis.

An FTA between India and the USA could be an essential step toward more liberal trade regimes and provide enormous economic benefits to both countries. Government of both the countries should support deeper integration. This will create more job opportunities and generate prosperity in both economies.

There are numerous studies conducted on evaluating the impact of FTAs ratified between countries. But there are limited studies which evaluate the impact of the proposed India–USA FTA on the economies of both trading partners specifically on the agriculture sector.

The purpose of this research is to systematically scrutinize the influence of macroeconomic determinants on trade openness, through the lens of various trade theories, with a particular focus on the economies of the GIPSI countries – Greece, Ireland, Portugal, Spain and Italy.

This study investigates the macroeconomic factors influencing trade openness in the GIPSI economies from 1995 to 2020. Methods include stepwise regression (SR) for model selection, Pedroni panel cointegration test and panel regression results. The analysis uses advanced panel regressions, including FMOLS, Panel OLS and FEM. The long-term dynamics were tested using Pedroni cointegration, while Granger causality testing was used to examine the causal direction between the trade openness ratio and trade determinant.

The results show both long-term and short-term relationships between trade openness and (1) foreign direct investment, (2) labor force participation rate, (3) trade reserves and (4) trade balance. The researchers also detected unidirectional and bidirectional causality relationships between trade openness and these four factors. The study also revealed that trade reserves (TR) emerge as the most influential determinant of trade openness, and per capita income does not exhibit economic significance concerning the trade openness of GIPSI economies.

This research is conducted within the context of the GIPSI nations (Greece, Ireland, Portugal, Spain and Italy). As such, the outcomes may not be universally applicable to other economic systems due to the distinct institutional settings and governance structures across different economic groups. Future investigations may explore the relationship between trade openness and its determinants by incorporating different variables.

To the best of the authors' knowledge, this is the first study investigating the theory that suggested trade drivers drive the trade openness of GIPSI countries context. By focusing on GIPSI countries, the study offers a unique perspective on the dynamics of trade openness in economies that have experienced financial crises and stringent austerity measures.

This study aims to test the effects of Technology-related Divestitures (TRDs) on firms' exploratory innovation. The moderating effects of firms' internal and external resource coordination activities, resource buffering and bridging, are also explored.

A set of data including 1,372 Chinese listed firms from 2009 to 2018 is adopted. Based on propensity score matching sample, random-effect Tobit models were employed to test the hypotheses.

The empirical results indicate that TRDs inhibit firms' exploratory innovation, while both resource buffering and bridging can mitigate this negative effect. This implies that to promote exploratory innovation, resource coordination activities are the essential.

The research findings can contribute to both the exploratory innovation and technological divestiture literature. The test on the moderating roles of resource buffering and bridging can also extend our understanding of the effect of TRDs on firms' exploratory innovation. Accordingly, several practical implications can be provided. This is especially important for strategic decisions of firms from emerging and developing countries, which often lack sufficient internal resources and strong technological capabilities to develop exploratory innovation.