MSMEs are considered to be the backbone of India's current and future economic progress. These institutions are geared to support and encourage the development of new-generation entrepreneurs in India who have the potential to create global competitive businesses. However, achieving the right resource balance is critical for these firms. As a result, a set of 14 relevant factors from the resource-based view (RBV) model were discovered and ranked using modified total interpretive structural modeling in order to reflect their impact on MSMEs' export performance. Together with the MICMAC methodology, this method establishes a hierarchical relationship between the factors. Our findings, which back up earlier studies, confirm the impact of these 14 essential components on RBV modeling adoption on MSMEs' export success. The components covered in the analysis have emerged as linkage elements, establishing a strong basis for MSMEs to internationalize competitively and become resilient in their approach by developing a deep strategic connection among themselves. Strategic direction, upper echelon orientation, financial capacity, and the external environment all have a significant impact on MSMEs' export performance. Finally, the implications for research and practise are examined in order to assist decision-makers in developing a long-term competitive edge for Indian firms.

This study develops an information and communication technology (ICT) penetration index and examines the link between ICT penetration and economic growth, trade openness and foreign direct investment in major trading nations from 2001 to 2018. The nations have been selected based on total trade volume. The ICT penetration index constructed for the major trading nations is based on trade of ICT goods and services, Internet use, mobile and broadband subscriptions using principal component analysis. Based on the new endogenous growth model, co-integration and panel regression are applied to determine the relationship between ICT penetration, trade openness and economic growth. A few other control variables such as financial development and foreign direct investment are also considered to assess the relationship between growth, trade openness and ICT penetration along with cross-country effects. It is seen that there exists a relationship between ICT penetration, economic growth, trade openness and foreign direct investment for the selected countries, with emerging and high-income countries showing a significant relationship between ICT penetration and growth, while countries are focusing on enhancing the role of ICT in trade.

This article investigates the impact of oil price shocks on the stock returns of companies of the oil sector in oil-importing economies. The study considers oil stocks of top five oil-importing economies, that is, India, USA, China, Japan and Korea from 2007–2019. The oil price is considered as the independent variable, whereas the oil sector stock index return is considered as dependent variable. Based on the existing literature, some control variables like stock index return, inflation, interest rates, gross domestic product (GDP) and dummy for US-China trade war are included. Empirical evidence from the returns of oil sector stock index indicates that there is a significant and positive relationship between oil prices and oil sector’s stock returns. The result also highlights a strong relationship between stock market index and oil sector stock index. GDP of the country also leads to a positive impact on returns of oil stocks, although there is no significant impact of interest rates and inflation on the returns of oil stocks.

Purpose: The focus is on determining the long-term relationship in explaining how technological capabilities interact with trade and global value chain (GVC) participation to aid in the upgradation process using a panel auto-regressive distributed lag (ARDL) model. The results suggest that export of both low-skill and medium-skill technology-intensive manufactures and patents by residents positively and significantly impact GVC participation.Design/methodology/approach: This paper examines the dynamic linkages between GVC participation and technological capability of major Asian countries in a comparative (1995–2018) perspective.Findings: This implies that certain sectors enable greater integration into GVCs in the long-run, supported by critical learning variables. Further, with the help of the panel causality test, a bi-directional flow between GVC participation and export of high-technology manufactures and import of labour-intensive technology manufactures is witnessed. Even a one-way flow from research and development (R&D) intensity to GVC participation is seen.Originality/value: The technological capabilities are found to be characterising the initial structure of local enterprises in trade and GVCs, as well as the extent to which emerging-market firms may harness knowledge flows and migrate into high-tech industries.

The article aims to develop an integrated relationship between carbon emissions, energy consumption, economic growth and trade for the top ten trading countries in the world for a period of nineteen years, 2000–2018. The results of panel data indicate a significant relationship between carbon emissions, energy consumption, economic growth and trade both in the short and long run. It is seen that a bidirectional causality between carbon emissions, trade and growth is present. Empirical results of the analysis in this article indicate that an increase in carbon emissions leads to an increase in the economic growth rate. The article also finds a positive relationship between carbon emissions and energy consumption. The findings also show that the emerging and newly industrialized countries place more emphasis on enhancing their trade positions, while developed countries tend to focus more on the overall economic growth than on trade. A major limitation of the study is that the data for energy consumption and carbon emissions is for the economy as a whole and not only for manufacturing. An incentive structure for reducing carbon emissions for the selected countries can be adopted along with the focus on adopting clean energy. The article’s findings add to the existing literature as comparatively few studies have been conducted with trade as an indicator and at the cross-country level for determining the empirical relationship between energy consumption, carbon emissions, growth and trade.