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This paper aims to explore whether India’s export basket in the bilateral intra-industry trade (IIT) with two of its top trading partners characterize robust export earnings or not. This is pertinent for two reasons. First, India has a persistent problem of current account deficit for over decades now. Second, whether India’s export diversification strategy by participating in global value chains to improve export share in the world market led to the problem of the fallacy of composition.

This study considers bilateral trade data between India-USA and India-China at the HS-6 digit level over the period 1990–2018. The magnitude of total IIT is computed using the Grubel and Lloyd (1971) index. This paper then uses the unit value dispersion criterion to disentangle the magnitude of total IIT into horizontal and vertical IIT. Through a stepwise econometric exercise, this paper explores the attributes of exported goods in the IIT basket in terms of the directions of ToT, export share and export-price elasticity.

Across the two country pairs, the major contributors to the upsurge in IIT are five manufacturing industry groups of chemical, plastics and rubber, textiles, base metals and machinery and mechanical appliances. Across the industry groups, the dominant form of IIT has been low vertical IIT. Most of the industry groups do not characterize robust export earnings as the commodity groups have an elastic demand and an increasing trend of Terms of Trade (ToT). The exceptions are the industry groups of chemicals and textiles in India-China and India-USA, respectively.

The concern of slim export earnings in most industry groups offers scepticism in maintaining the sustainability of the current account. The problem of the fallacy of composition also cannot be ruled out given the dominance of low vertical IIT. This study argues that these industry groups need to engage in labour market reforms and require access to easy credit to achieve competitiveness in the world market.

The analysis performed in this paper attempts to integrate the Prebisch-Singer hypothesis in the context of IIT. Empirical evidence to such an issue is not profound.

China and India are pursuing cooperative arrangements while simultaneously maintaining their own independence, especially with respect to foreign policy. Today, decisions about cooperation are made on a case‐by‐case basis, opting for cooperation when necessary and competition where this strategy is justified. Maintaining a balance in a contradiction‐ridden relationship is important from the points of view of the national interests of both India and China. The purpose of this paper is to describe development in the notion of CHINDIA and provide some pointers for maintaining the balance between the two countries.

Learning from history and current happenings, the paper looks to the future of CHINDIA. A SWOT analysis is undertaken of the basic trade figures of the two economies in the context of the global environment and various bilateral moves. Trade details are assessed and analysed. A content analysis method is used to identify prevailing sentiments relayed to CHINDIA and its future.

This review identified strengths, weaknesses, opportunities, threats and sentiments relayed to CHINDIA. Together, these form basic points for considering any future actions related to the two economies.

The study will be useful for academics and business professionals working in the area of international business/relations and those engaged in tracking development in CHINDIA for strategic ends. Policy makers can streamline their efforts, taking into account the pointer that emerged for this study.

This paper argues that the recent rise in China Dutch trade is a typical example of two nations trading tasks rather than goods.

China Dutch trade growth between 1996 and 2010 is compared with China's trade growth with its main partners. In addition, the composition of China Dutch trade (based on level 1 and level 3 standard international trade classification (SITC)) between 1996 and 2010 is evaluated and three short case studies are discussed.

China Dutch trade has been growing too fast and too high tech to be explained by Ricardian trade theory. Instead the data fit neatly to the recently proposed theory of trade in tasks. It seems the Dutch have outsourced tasks such as assembly and production to China and other Asian countries, while China has been outsourcing distribution and trade management activities to The Netherlands.

This paper uses sound reasoning and some empirical evidence but no formal model or regression. The arguments of this paper could be strengthened further by using for example gravity equations of Dutch China trade.

The governments of China and The Netherlands should invest in strengthening their respective comparative advantages in tasks. Currently, there is too much focus on R&D. Instead, the Chinese Government should invest more in their innovation capability and the working conditions of assembly workers. The Dutch should focus more on knowledge and skill in the orchestration of production and distribution.

This paper proposes a very different view on trade and provides a recent and typical example of two nations exchanging tasks.

The present study is an attempt to evaluate the impact of the proposed India-China free trade agreement (FTA) in goods trade on both countries under a static general equilibrium framework.

The study has utilized the Global Trade Analysis Project (GTAP) model of world trade with the presence of skilled and unskilled unemployment in the world. For analysis purposes, 57 GTAP sectors, representing the whole regional economy, have been aggregated into 43 sectors and 140 GTAP regions, representing the whole world, have been aggregated into 19 regions. The study has also used the updated tariff rates provided by the World Trade Organization for better results.

The preliminary analysis using trade indicators depicted that by utilizing their own comparative advantage, both of the countries can maximize their gains by exporting more to the world. The simulation results from the GTAP analysis revealed that a tariff reduction in all goods trade would be more beneficial for both the countries than the tariff reduction in each other's specialized products. All other regions lose in terms of shifting the Indian imports towards China in a post-simulation environment. Regions with a significant loss are: the European Union (28 members), Southeast Asia, the Unites States, Japan, Korea, West Asia, and the European Free Trade Association (EFTA).

The disaggregated sector-wise analysis has been performed using the latest available GTAP database, version 9.

The focus of this paper is to provide an assessment of the impact of imports from China on Indian manufacturing and capture the multifarious dimensions of India–China bilateral trade flows. By examining the comparative disadvantage imports (RCA<1), the paper critically examines their significance on India's industry output and performance and underlines factors beyond trade competitiveness.

For examining the impact of India's manufacturing imports from China on industry performance, four stages of analysis is adopted. First, the imports with RCA <1 have been identified. For these, BRCA was also computed. Second, trends in industry performance associated with high imports from China. Third, for estimating the impact of imports on industry output, augmented production function was specified and estimated with imports from China as a potential determinant. And fourth, comparison of industry performance between India and China.

The impact of imports from China on industry output is positive and significant. A 1% increase/decrease in the share of China in world imports will result in output increasing by 0.31%. The rise in imports from China seems to be on account of non-availability of necessary intermediate and capital goods domestically, thereby making these imports critical and complementary for production. This negates the threat perception of imports from China.

The paper recognizes the need for understanding the firm heterogeneity in import decisions and R&D intensity of imports. Across industries, the drivers for firms' decisions to import are “learning by importing’ and “self-selection” (Camino-Magro et al., 2020). Also, another important dimension at the firm-level analysis is the elasticity of substitution between foreign and domestic inputs. If the elasticity of substitution is low then high import barriers will lead to reduction of domestic output. These firm-level issues are important for effective policy interventions.

One, the inward looking focus of the industry which is exhibited in low export intensity will not provide the necessary impetus to propel the manufacturing sector to a higher technology frontier and translate the productivity gains to export competitiveness. Two, unless the domestic manufacturing is propelled from the current low/medium technology to high technology products, the current policy thrust on “self-reliance” cannot be realized.

Analysis is based on manufacturing imports with RCA<1 from China thereby underlining factors beyond trade competitiveness not covered by RCA methodology. Complementing the quantitative analysis with economic policy developments in China and India and contrasting the same has provided insights into the real factors determining India–China bilateral trade.

In the recent international scenario, the rise of emerging economies, in particular, Brazil, Russia, India, China and South Africa (BRICS) has gained ample of attention. The global trade flows of the BRICS countries have significantly increased during the last one-and-a-half decade. The purpose of this paper is to examine the intra-BRICS and BRICS–EU trade flows.

To study the intensity of trade among BRICS countries and with EU, the Trade Intensity Index is employed for the period 2001–2015. Balassa’s revealed comparative advantage (RCA) index is computed for the assessment of comparative advantages of exports by BRICS countries in the year 2015 in the global markets. A comparative analysis of export similarity is done for India and other BRICS countries in EU.

The findings of trade intensity showed large bilateral trade flows among BRICS member. Russia has emerged as the main trading partner with EU in BRICS. For the year 2015, the comparative study of RCA at HS-two digits and HS-four digits classification highlights marginal structural changes in the export composition of these countries. The analysis revealed that Brazil and Russia have comparative advantages in natural resource-based products, while India and China possessed comparative advantages in manufactured and processed products. The export similarity index shows the presence of competition between India and China in EU.

This paper highlights the need for closer cooperation to promote intra-BRICS trade and to make structural transformations in the basket of trading products by them to have trade benefits at large.

Numerous studies are available on bilateral trade of BRICS members. However, limited studies are available to get a holistic view of intra-BRICS trade. This paper is an attempt to examine the BRICS countries trade profile both at global levels and within the group.

Manufacturing sector plays a vital role in the economy of developing countries like India. The Indian textiles and clothing industry has an overwhelming presence in the economic life of the country. The readymade garment segment contributes 42 per cent of the Indian textiles exports, which include cotton garments and accessories, manmade fiber garments and other textiles clothing. The overall export basket of India has increased from 13.6 per cent in 2014-15 to 15 per cent in 2015-16 for textiles and apparel products including handicrafts. Though clothing exports from India have witnessed high growth rates in the past decade as compared to other commodity exports, India’s performance, when compared to many competing countries, has not been much encouraging. India has lagged behind in clothing exports as compared to China, Bangladesh and Vietnam. This study mainly focused on analyzing the changing clothing export structure of select countries such as India, China, Bangladesh, Vietnam and Turkey by using revealed comparative advantage indices.

This study uses different variants of revealed comparative advantage indices, namely, Balassa’s RCA Index (Balassa, 1965), Dynamic RCA index (Kreinin and Plummer, 1994) and Revealed Symmetrical Comparative Advantage Index (Laursen, 1998). Indices were calculated for the period 2003 and 2013 under knitted category (HS 61) and not knitted category (HS 62) up to four-digit classification. Spearman rank correlation was applied for analyzing changes during the period under study. For calculation of RCA and dynamic RCA indices, the export data have been taken from UN Comtrade, an electronic database of United Nation and International Trade Statistics database of World Trade Organization.

The results highlighted that India ranks at the bottom in seven HS 61 clothing products and fourth in five HS 61 products. Bangladesh stands at the top in 11 of the HS 61 clothing products among selected countries. Similarly, Vietnam has also gained stronghold position in the global clothing trade. In many of these products, Bangladesh has higher revealed comparative advantage as compared to other countries. In HS 62 product category, India was at the bottom in eight products, whereas Bangladesh has gained the most in nine products on the comparative advantage basis. The findings highlighted the shift taking place in global clothing trade structure as trade was shifting toward low-cost countries such as Vietnam and Bangladesh. Surprisingly, India has foregone strategic advantage in many value-added products to low-cost countries such as Bangladesh and Vietnam.

This is one of the few studies undertaken to analyze comparative advantages of leading clothing exporter countries (mainly from Asian region) in the recent times. Findings depict changing export structure and dynamics of clothing exports in the region. Findings would help government, industry associations and policymakers in enhancing sector competitiveness and in identifying the growth products.