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Recently, the Russian Far East has been receiving close attention from the government of the Russian Federation. Accelerated economic development of the Far Eastern regions requires trade intensification with foreign and domestic markets, which implies a reduction of various barriers. The study aims to assess the external and internal trade barriers of the Russian Far East using a consistent dataset and relevant econometric model for estimations. The assessment of trade barriers, expressed as values of the relative trade intensity and transport costs in the framework of modern gravity models, confirmed the trade bias of the Russian Far East in favour of the domestic market in the long term. High values of relative transport costs were offset by a high relative trade intensity between the Russian Far East and the domestic market. The conducted analysis shows that the reduction of external trade barriers between the Russian Far East and foreign markets can significantly increase their turnover. The obtained estimates revealed a trend of linking the regions of the Russian Far East to the domestic market due to the barrier reduction in the form of transport costs. This study can be further developed, as the presented methodology for qualitative assessment of internal and external barriers can be applied to analyse the costs of trade in commodity markets, to decompose export and import barriers, as well as to determine the potential for expanding regional trade with foreign countries.

India and Australia forged stronger connections, notably in the economic domain, during the period after their independence. The Free Trade Agreement, formally referred to as the Economic Cooperation and Trade Agreement, between India and Australia became operational in December 2022. This article aims to analyses India's trading prospects with Australia. In order to accomplish the goal, a Revealed Comparative Advantage, Trade Intensity Index, and Trade Potential Index have been computed utilizing secondary data obtained from the UNCOMTRADE Database. The findings indicated that both nations had a notable edge in distinct goods. It signifies that there are some goods in which the nation is not engaging in competition with each other. This study examines the potential sectors for commodities where bilateral commerce might be advantageous, making a Free commerce Agreement (FTA) a mutually beneficial arrangement for both countries.

Purpose This study aims to measure the competitiveness of top apparel exporting nations competing with China in different apparel product categories across the global environment. Design/methodology/approach Compound annual growth rate, trade competitiveness, market share percentages, revealed comparative advantage and its variant normalized revealed comparative advantage using two-, four- and six-digit harmonized system codes for the period of 2016–2021 were used to understand the comparative advantage of competing apparel exporting nations. Findings The findings revealed that China still holds a more decisive comparative advantage than its competitors over the majority of the product categories within the knitted or not knitted apparel and clothing accessories. The other competing nations hold better export competitiveness over China in specific categories. However, that is not sufficient to be the “Next China.” Research limitations/implications The study has important implications for different stakeholders of the global apparel industry, such as governments, industry officials, policymakers, investors, researchers and students. The study’s limitations arise from using product categories as competitiveness indicators, notably relying on a macro level approach for measurement while the micro level perspective is not analyzed, which constitutes a significant limitation of the study. Originality/value This research thoroughly analyzes the competitive position of the top ten apparel-exporting countries in the global market.

The study examines the role China plays compared with the US in transmitting contagion to South Asia. Trade intensity, economic downturns, and negative net equity capital outflows positively influence dynamic conditional correlations between South Asian and US/Chinese financial stock returns. Chinese and US financial firms transmitted more spillovers than they received during the global financial crisis. Results are robust to the use of USD or local currency returns, and the alternative specification of the Diebold–Yilmaz model. The role of Chinese financial firms in transmitting shocks to South Asia may be of interest to policymakers, regulators, and other market participants.

The primary objective of this research was to analyze the agricultural trade relations between Peru and India from 2019 to 2023. A quantitative methodology was employed, with a descriptive scope and a non-experimental design, using data from SUNAT and INFOTRADE (PROMPERÚ). The results indicate that the trade intensity index (TII) of Peruvian agricultural exports to India declined by 40 % in 2020 and 41 % in 2021 but rebounded in 2022 and 2023 with increases of 132 % and 8 %, respectively, resulting in an average annual growth rate of 15 %. Likewise, agricultural imports from India increased by 55 % in 2020, dropped by 47 % in 2021, grew by 34 % in 2022, and declined by 13 % in 2023, with an average annual growth rate of 7 %. Among exported products, blueberries, which had no recorded exports in 2019, reached$ 1,58 million USD in 2023, accounting for 27,39 % of total exports. Powdered tara increased from $  597 000 USD in 2019 to$ 960 000 USD in 2022 but declined by 79,79 % in 2023. It is concluded that, despite growth in certain products, logistical and tariff barriers continue to constrain bilateral trade. It is recommended to expedite negotiations for a free trade agreement and enhance trade infrastructure. El objetivo principal de esta investigación fue analizar las relaciones de intercambio comercial agrícola entre Perú e India entre 2019 y 2023. Se utilizó una metodología cuantitativa, con un alcance descriptivo y un diseño no experimental, empleando datos de SUNAT e INFOTRADE (PROMPERÚ). Los resultados muestran que el índice de intensidad comercial (IIC) de las exportaciones agrícolas peruanas a India cayó un 40 % en 2020 y un 41 % en 2021, pero se recuperó en 2022 con un crecimiento del 132 % y en 2023 con 8 %, con un crecimiento promedio anual del 15 %. Las importaciones agrícolas desde India aumentaron un 55 % en 2020, cayeron un 47 % en 2021, crecieron un 34 % en 2022 y disminuyeron un 13 % en 2023, con un crecimiento promedio anual del 7 %. Entre los productos exportados, los arándanos pasaron de no registrarse en 2019 a alcanzar $  1580 millones USD en 2023, representando el 27,39 % del total exportado. La tara en polvo creció de$ 597 000 USD en 2019 a $  960 000 USD en 2022, pero cayó un 79,79 % en 2023. Se concluye que, a pesar del crecimiento en algunos productos, existen barreras logísticas y arancelarias que limitan el comercio bilateral. Se recomienda acelerar las negociaciones para un tratado de libre comercio y mejorar la infraestructura comercial.

Objective: The research aimed to examine the strength and nature of the UK’s relations with China under new circumstances caused by Brexit. Specifically, this article attempts to answer what was the impact of Brexit on economic and political relations between the UK and its significant economic partner, China. In pursuance of the goal, the authors discuss the economic and political implications of a new status quo in bilateral cooperation in the field of trade and investment and the political aspects of Brexit for both partners. Research Design & Methods: We explored the UK-China relationship in the context of Brexit implications using a literature analysis and examined the strength and nature of economic relations between countries mentioned above using the trade orientation and intensity indicators. Findings: Brexit created a new landscape for bilateral cooperation between the UK and its partners worldwide. The long-term consequences of Brexit will continue to unfold in years to come, but we may already recognize some early trends in bilateral relations. The analysis of the UK’s trade orientation based on the historical data for the period 2013-2022 revealed the decreasing significance of Germany and the increasing position of China and the United States as the UK’s trading partners. Moreover, the analysis of trade intensity revealed the lowest trade intensity between the UK and China post-2012 compared with Germany and the US. Nevertheless, the values of the trade intensity index with China indicate that there is still potential to increase exports to China. Implications & Recommendations: The proposed set of indicators can serve to question the major tendencies of bilateral trade. Together, the indicators portray a comprehensive picture of interdependence and the strength of existing connections between two countries and help examine whether cooperation is strengthening or weakening. The orientation index identifies the strength and importance of the relationship with the trading partner relative to other trade relations’ significance and monitors the progress of the cooperation, while the trade intensity index can be used to determine whether the value of trade between two countries is greater or smaller than expected based on their importance in world trade. The analysis results will allow scholars to determine possible actions that should be undertaken by the UK and – possibly – the EU to develop trade and investment cooperation with China in a more balanced way. Contribution & Value Added: The article extends the knowledge of Brexit’s economic and political implications for UK-China bilateral cooperation. Furthermore, the article presents a comprehensive analysis and evaluation of the current UK-China relations in the context of Brexit. We examined economic relations between the countries mentioned by means of trade orientation and intensity indicators.

The relevance of this study is tied to the fact, that more effective application of export potential represents a major step towards the integration of Latvia’s economy into a unified economic framework with other European Union countries. In addition, the lack of a generally accepted methodology for assessing export potential increases the significance of these studies from a methodological point of view. The purpose of this study is to analyse the trends in Latvian exports and assess the possibilities of increasing the volume of exports of goods to the EU countries. This study applied quantitative and qualitative methods of analysis, analysis of statistical data, methods for assessing the intensity, complementarity of trade between two countries and the potential for exporting Latvian goods to EU countries. The study identifies the countries and categories of goods where Latvian trade potentialto EU can be increased. The authors of the article propose criteria for determining possibility of increasing the export of various groups of goods. The paper may be of interest to all export transaction participants, including manufacturers, merchants, and professional associations. The export expansion assessment method applied by the authors may be adopted by exporting companies to identify groups of goods that have export growth reserves.

Three small Baltic economies of Estonia, Latvia and Lithuania have undergone extreme economical system change from the planned economy to the market one. The institutional infrastructure have been reorganized and all three countries joined the EU and Euro area. We aim to answer which channels of economic integration are of the largest importance for the small open European economies. We showed that all three countries could be treated as one region due to development, institutional and economic similarities. Secondly, we explore whether the trade or common currency is the main channel for the business cycle synchronization across the region of three small Baltic economies. The business cycle synchronization and trade intensity (TI) between the Baltic States and their main trading partners before and after joining the EU have been investigated as an example of an ex-post case for the small economies. We have observed a large increase in TI with the trading partners from EMU and EU countries, irrespective of the TI calculation method. The analysis of business cycle synchronization of the Baltic States with their main trading partners is captured by the correlations of the cyclical component of GDP series, using the quarterly real and de-trended GDP growth data from 1995 Q1 to 2019 Q4. The panel model has indicated an important empirical feature that the common currency strongly and significantly impacted the business cycle synchronization whilst the bilateral trade intensity between the Baltic States and their main trading partners have a significant negative effect on the business cycle synchronization when controlling for time effects. The Granger causality test confirmed that the most robust impulses to the Baltic States are coming from EU trading partners.

Inter-provincial trade is accompanied by the transfer of embodied pollution emissions, leading to emissions leakage, thereby hindering the sustainable development of society. Therefore, it is imperative to analyze the characteristics of embodied pollutant emission and spatial transfer driven by inter-provincial trade. In this study, the quantitative and spatial characteristics of the six main embodied pollutants (i.e., SO2, NOX, CO, VOC, PM2.5, and PM10) were analyzed by a hypothetical extraction method (HEM) and complex network analysis (CNA) under an input–output analysis (IOA) framework. Then, the row arrange series (RAS) method was employed to simulate the impacts of varying levels of trade intensity, economic growth rate, and technological progress on embodied pollutants and spatial-transfer characteristics. The major findings are as follows: (i) the increase in inter-provincial trade led to a corresponding rise in embodied pollutant emissions due to the relocation of production activities towards provinces with higher emission intensity. Excessive responsibility was assumed by provinces such as Shanxi and Hebei, engaging in production outsourcing for reducing pollutants. (ii) The macro direction of pollutant transfer paths was from the resource-rich northern and central provinces towards the trade-developed southern provinces. Sectors in the transfer path, such as the industry sectors of Shanxi, Guangdong, Henan, and the transport sector of Henan, exhibited high centrality and dominated pollutant transfer activities in the network. (iii) The industry sector, characterized by substantial energy consumption, was the predominant emitter of all pollutant production-based emissions, accounting for more than 40% of total emissions. This study is conducive to analyzing the impacts of inter-provincial trade on embodied pollutant emissions and developing emissions reduction policies considering equitable allocation of emissions responsibilities from both production and consumption perspectives.