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Based on the research of free trade agreements on alleviating service trade policy heterogeneity and its impact on manufacturing exports, this article aims to not only provide a basis for China's strategy of promoting regional economic integration, but also provide a policy reference for the manufacturing industry to expand the export market space.

This study uses the two principles of “answering” and “scoring” to quantify the indicators of service trade policy heterogeneity to test the relationship between heterogeneity of service trade policy, free trade agreement and manufacturing export.

According to empirical study, the export of Chinese manufacturing firms is severely hampered by the variety of service trade regulations, and the bigger the enterprise, the more hampered it is. In comparison to communications, transport and commerce, the financial industry's policy heterogeneity has a greater negative impact on certain industries. The major methods used to reduce the impact of service trade policy heterogeneity on manufacturing exports are product price increases and product quantity reductions. Also, by reducing the heterogeneity of service trade regulations and fostering industrial exports, the free trade agreement that China has signed can be quite successful. The open commitment in the area of national treatment, however, can reduce policy heterogeneity and advance manufacturing.

In the area of market access, the effect of export is superior to the open promise. Thus, in order to effectively support the stabilization of international trade, China should actively encourage the negotiation and signing of higher-quality and mutually beneficial free trade agreements.

The regional comprehensive economic partnership (RCEP) is promising as per the claims and can be revolutionary for the Asia–Pacific Region. The member countries will get a boost in the post-pandemic world due to the RCEP. According to Brookings, the RCEP is going to be an agreement reshaping the global economics. This study aims to clarify the aspects related to the RCEP and how it can boost global economics.

The study employs qualitative descriptive analysis to address the status of RCEP in the region and the consequences of such main transnational partnership. The study is based on economic reports, official documents and data directly related to the subject of the study.

Findings show that the RCEP will be a significant driver of regional trade despite its faults. The RCEP's tariff benefits and rules of origin, notwithstanding their relatively restricted scope, will encourage enterprises to source products and services from RCEP members, and in combination, RCEP and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) are anticipated to replace at least some competing US commodities, services and farm exports. For items that integrate parts and components from inside the area, such as from China, the RCEP is projected to reduce tax and trade facilitation costs, allowing enterprises to avoid US Section 301 tariffs.

By examining how the RCEP operates within the framework of domestic and international trade, this study contributes to a deeper understanding of RCEP and analyses its nature based on data and official reports.

The Russian export flow is highly concentrated on few trading partners that results in its high vulnerability to external shock. Furthermore, the Russian–Ukraine conflict and corresponding western sanctions has enhanced the need of export markets diversification for Russia. Therefore, this study is a baseline attempt to explore determinants of export flow along with identifying potential export markets. This objective is realized by employing an augmented version of gravity model on export flow of Russian Federation to 108 trading partners from 2000 to 2020.

The augmented gravity model of export flow is estimated by using employing contemporary panel econometrics such as panel generalized ordinary least square estimation technique with cross-sectional weight along with heteroskedasticity consistent white coefficients is employed to explore impact of selected macroeconomic and policy variables. Furthermore, the sensitivity analysis is performed by using panel random effect along with the Driscoll–Kraay standard errors with pooled ordinary least squares (OLS) regression and random effect generalized least square (GLS) estimator techniques. The estimated result of panel GLS technique is subjected to in-sampled forecasting technique to explore potential export markets.

The findings show that an increase in the income of trading partners and enhancement of domestic production capacity has significant positive impact on Russian export flow, whereas geographic distance has a significant negative impact. Income of trading partners emerged as major determinant of export flow with high explanatory power. Among augmented variables, the real exchange rate reveals a significant positive impact of lower intensity, whereas binary variables for the common border, common history and preferential/free trade agreement show a significant positive impact. The finding of export potential reveals a high concentration of export with existence of large potential for exports across the globe. For instance, many developing countries in Asia, Africa and America reveal high potential for Russian exports.

The findings urge Russian Federation to diversify its export markets by targeting potential export markets. Many emerging developing countries are witnessing a high potential for Russian exports, therefore attempts should be taken to diversify toward them. The expansion of existing transportation facilities along with development of cargo trade can be important policy instrument to realize objective of export diversification.

This study is the first comprehensive analysis that employs augmented gravity model to explore potential export markets for Russian Federation by using panel data of 108 global trading partners from 2000 to 2020. This finding of this study provides a framework of export diversification toward potential markets across the globe.

South Asia is a region urgently seeking development, although it has failed in regional integration. It is the second least integrated region regarding the number of Free Trade Agreements (FTAs) and can thus be recognised as a missing bloc in the global multilateral system. This study aims to focus on South Asian FTAs and explores the problems of the inter-relations and compatibility between the systemic and regional trade systems.

The study proposes a framework to benchmark the compatibility of South Asian FTAs with WTO rules. Primary data from 2000 to 2020, including descriptive analyses of reports, legal text of the FTAs, official documents and factual presentations, have been collected and analysed through thematic analysis using the proposed framework.

The study finds that, although South Asian FTAs meet most of the WTO requirements, they are not progressing toward facilitating and promoting trade. Data from 2000 to 2020 show us that South Asian FTAs have not significantly impacted trade between themselves. The study argues that, although South Asian FTAs fulfil some benchmarks, they show only a lukewarm interest in contributing to the international trading system as building blocs. It is therefore recommended that the case of South Asian trade liberalisation must be understood contextually and be given careful and exclusive attention by the WTO.

As such, this study is the first to claim that South Asian FTAs are not fully compatible with the WTO rules. They remain a missing regional bloc in the multilateral system, rather than a building bloc or a stumbling bloc, delaying the region’s opportunity to develop as a region and within the larger system.

This study aims to examine the export competitiveness of Vietnam’s apparel sector by identifying the precise product categories that create its comparative advantage.

Revealed comparative advantage (RCA) and normalized revealed comparative advantage (NRCA) form the research methodology, and the RCA/NRCA values are calculated for the 2011–2020 period.

In total, 29 out of 34 product categories at four-digit levels and 65 out of 217 subcategories at six-digit levels elicited a consistent export comparative advantage throughout the 10-year study timeframe. The study also identified 13 subcategories at six-digit levels, which indicated 10 consecutive years of relative disadvantages.

The study’s findings have far-reaching implications for economic policy, development strategies and global economic integration. By providing a nuanced understanding of a country’s export strengths in the international apparel trade, this study offers valuable guidance for informed decision-making at various levels. The findings will serve as a significant source of information for policymakers and help them formulate novel policies aiming to diversify Vietnam’s apparel product offerings and export destinations. The results will also inform the government regarding the industry’s potential and attract necessary support, enabling it to grow further. This study reveals patterns in Vietnam’s apparel trade but does not provide insights into the underlying causes of comparative advantage.

The study provides an in-depth overview of Vietnam’s comparative advantages and disadvantages at two-, four- and six-digit harmonized system levels and helps understand Vietnam’s apparel export competitiveness.

This paper aims to provide new perspectives on the integration of East Asian stock markets and the dynamic volatility transmission to the Bitcoin market utilising daily data from 2014 to 2020.

The authors undertake comprehensive analyses of the dependency dynamics, systemic risk and volatility spillover between major East Asian stock and Bitcoin markets. The authors employ a vine-copula-CoVaR framework and a VAR-BEKK-GARCH method with a Wald test.

(a) With exception of KS11 and N225; HSI and SSE; HSI and KS11, which have moderate dependence, dependencies among other markets are low. In terms of tail risk, the upper tail risk is more significant in capturing strong common variation. (b) Two-way and asymmetric risk spillover effects exist in all markets. The Hong Kong and Japanese stock markets have significant risk spillovers to other markets, and quite notably, the Chinese stock market is the largest recipient of systemic risk. However, the authors observe a more significant risk spillover from the Chinese stock market to the Bitcoin market. (c) The VAR-BEKK-GARCH results confirm that the Korean market is a significant emitter of volatility spillovers. The Bitcoin market does provide diversification benefits. Interestingly, the Chinese stock market has an intriguing relationship with Bitcoin. (d) An increase in spillovers in East Asia boosts spillovers to Bitcoin, but there is no intuitive effect of Bitcoin spillovers on East Asian spillovers.

For the first time, the authors examine the dynamic linkage between Bitcoin and the major East Asian stock markets.

This study aims to analyse the intellectual property rights (INPR), foreign direct investment (FDI) inflows and technological exports of 32 developing and developed countries for the period of 2006–2020.

Diagnostic tests were used to confirm the panel least squares, fixed effect, random effect, feasible general least squares, dynamic ordinary least squares and fully modified ordinary least squares estimator results as well as to increase the robustness.

According to the findings for the developing countries, trademark, patent and industrial design applications, each had a significant positive long-run effect on FDI inflows. In addition, there was a significant positive long-run relationship between patent applications and medium- and high-technology exports. Meanwhile, trademark and industrial design applications had a significant negative long-term effect on medium- and high-technology exports. In developed countries, patent and industrial design applications each have a significant negative long-term on medium- and high-technology exports. Furthermore, patent and trademark applications each had a significant negative long-run effect on FDI inflows.

This study contributes significantly to the focus that host countries evaluate the technology gaps between domestic and foreign investors at different industry levels to select the best INPR rules and innovation process by increasing international cooperation. Furthermore, the host countries should follow the structure–conduct–performance paradigm based on analysis of the market structure, strategic firms and industrial dynamics systems.