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This study aims to examine whether diversified economies enhance the growth benefits from foreign direct investment (FDI). Diversified economies benefit from stable export earnings, stable investment composition and greater factor endowments through forward and backward linkages that can leverage superior foreign technology embedded in FDI. This is crucial as many African economies suffer from dependency while FDI is concentrated in the primary sector.

The authors use a dataset of 15 Economic Community of West African States from 1995 to 2020 and compile variables from various sources, including an export diversification index measured using the Herfindahl–Hirschman index of product concentration. The authors use a growth regression model estimated using dynamic panel estimators to control for endogeneity and simultaneity issues.

The results show that the effects of direct FDI are insignificant to growth considering diversification and controlling for other confounding factors. Meanwhile, diversification is associated with growth, which highlights the importance of industrial policy. More importantly, the authors find that the marginal effects of FDI are positively and significantly associated with growth when diversification levels are low, implying that production structure matters for the FDI–growth nexus in developing economies.

Previous studies have overlooked the role of export production structure on the FDI–growth nexus. Many developing economies are dependent on primary exports and suffer from dependency, which implies lower levels of factor endowments. As such, this reduces the growth gains from FDI. The authors provide new empirical evidence on the importance of export production structure on the FDI–growth nexus.

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.

This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also analyses the determinants of IM and EMs through a standard gravity model.

The study uses export data from United Nations Comtrade, which is accessed through World Integrated Trade Solution (WITS) software. Data for the period 2001 to 2020 were compiled for analysis using the Harmonized System (HS) of commodity classification system at the six-digit level. This study decomposed the contribution of IM and EM in the growth of Indian agricultural trade by using Hummels and Klenow's approach. After performing the export decomposition analysis, the authors analyze the factors influencing IM and EM by using the Tobit regression model and Poisson pseudo-maximum-likelihood (PPML) method of estimation.

The EM grew at 1.24% per annum, while the intensive margin (IM) increased by 0.23%. The contribution of growth at the EM increased from 58.8% in 2001 to 70.2% in 2020. Export growth along the IM was relatively high for animal products and agricultural raw materials, while growth at the EM was an important contributor to the export growth of horticultural and processed agricultural products. There was a positive and significant effect of the free trade agreement (FTA) on export margins.

More disaggregated commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.

There is a scarcity of holistic and recent studies illustrating the role of IM and EMs in agricultural trade growth, covering a large number of commodities and geographies associated with Indian agricultural trade. The study would be helpful to the stakeholders in facilitating informed policy decisions.

The paper aims to measure the nature and extent of international diversification followed by Indian companies over the period 2009–10 to 2017–18. The study also aims to assess the pattern of transition of companies to various strategies of international diversification.

Jacquemin and Berry’s (1979) entropy approach has been applied to measure the extent and assess the nature of international diversification. Further, the study deploys two-dimensional categorical framework advocated by Vachani (1991) and categorizes the firms into four international diversification strategies.

Larger proportion of companies in internationally low diversification (ILD) strategy reveals low extent of international diversification of Indian companies. The pattern of diversification depicts that the trend of moving forward is speeding up sequentially toward higher strategies of growth. Both the extent and pattern depict that the nature of diversification is shifting from relatedness to un-relatedness with transitions from intra-regions to inter-regions. The study confirms the applicability of eclectic theory and psychic distance Uppsala model in determining the preference of international diversification strategies and process of internationalization respectively in Indian firms.

The paper is first of its kind on account of several reasons. First, such a comprehensive evaluation of preferences for international diversification strategies has never been taken up with reference to emerging economies, especially India. Second, the paper is not static and does not limit itself only to the identification of favored strategies of Indian companies but also gauges the transitional behavior of Indian companies across different strategies at different points of time. In fact it is the first study to statistically research the applicability of psychic distance model in firms in emerging economy. Third, the results not only measure the quantum of international diversification but also assess the extent of relatedness and un-relatedness followed by Indian companies.

This paper aims to examine and compare the export performance and competitiveness of Indian and Chinese textile and clothing industry in post-multifibre arrangement (MFA) era.

Balassa’s revealed comparative advantage Index is used to assess the competitiveness of Indian and Chinese textile and clothing exports.

The results indicate that China’s textiles and garments sector holds a greater proportion of the global market compared with India. India has a robust comparative advantage in silk, carpets and cotton post-MFA. Vegetable textile fibers, paper yarn and woven fabrics of paper yarn are also competitive. China had a strong comparative advantage in silk and fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery in 2005. China also recorded comparative advantage in silk, man-made filaments: strip and the like of man-made textile materials, fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery and fabrics; knitted or crocheted in 2021.

This study’s results and recommendations could assist the Indian and Chinese Governments develop policies to upgrade their garment industries.

Though vast literature reviews are available for textile and apparel export performance in India and China separately, there are few studies on comparisons. This study is a significant attempt to evaluate India and China’s competitiveness in the global market.

This study aims to quantify sectoral energy and carbon intensity, revisit the validity of the Environmental Kuznets Curve (EKC) and explore the relationship between economic diversification and CO₂ emissions in Bahrain.

Three stages were followed to understand the linkages between sectoral economic growth, energy consumption and CO₂ emissions in Bahrain. Sectoral energy and carbon intensity were calculated, time series data trends were analyzed and two econometric models were built and analyzed using the autoregressive distributed lag method and time series data for the period 1980–2019.

The results of the analysis suggest that energy and carbon intensity in Bahrain’s industrial sector is higher than those of its services and agricultural sectors. The EKC was found to be invalid for Bahrain, where economic growth is still coupled with CO₂ emissions. Whereas CO₂ emissions have increased with growth in the manufacturing, and real estate subsectors, the emissions have decreased with growth in the hospitability, transportation and communications subsectors. These results indicate that economic diversification, specifically of the services sector, is aligned with Bahrain’s carbon neutrality target. However, less energy-intensive industries, such as recycling-based industries, are needed to counter the environmental impacts of economic growth.

The impacts of economic diversification on energy consumption and CO₂ emissions in the Gulf Cooperation Council petroleum countries have rarely been explored. Findings from this study contribute to informing economic and environment-related policymaking in Bahrain.

This study aims to present a bibliometric overview of the academic research on export performance (EP) in the business and management areas.

A bibliometric overview of 1,463 papers from 1968 to 2021, including performance analysis, science mapping analysis and graphical mapping, was conducted using the Scopus database. SciMAT software was used for thematic analysis and conceptual evolution mapping of the EP domain, and VOSviewer software was used for graphical visualization.

This study shows that EP research experienced spectacular growth, especially between 1998 and 2003, and the interest in this field continues to increase. Also, the USA and the UK appear to be the absolute leaders in EP research, with the best indicators of productivity and influence in all dimensions analyzed. The findings from the analysis through SciMAT indicate that “capabilities” and “R&D” are the main Motor themes that have contributed the most to the EP literature, whereas “global value chain” and “start-up” are emerging themes as new areas of interest.

This study develops a baseline for representing certain and exhaustive insights in the EP field and specifies trends over a period. Using a single database and excluding book chapters/conference papers are limitations of this study.

EP is a research field that has gained wide acceptance in the academic community and international marketing literature. To the best of the authors’ knowledge, no bibliometric overview has analyzed the EP literature. This study presents the first systematic quantitative analysis of academic research on EP in the business and management areas.

The majority of MENA countries suffer low levels of human development, coupled with scarcity of funding resources, low level of governance, and poor institutional environment. Consequently, this research aims at detecting the impact of development finance resources and institutional quality on the human development in the MENA region, in order to examine if/why the MENA countries fail to efficiently exploit all the available financial inflows to promote human development and boost living standards.

This study tests the short- and long-run impact of six financing resources representing injections in the economy and four institutional quality variables on the human development index in the MENA region. It adopts co-integration analysis, vector error correction model, and Granger causality test on a sample of 13 MENA countries over the period 1996–2019.

This research finds that domestic credit to private sector and exports of goods and services do not have any significant added value for human development in the MENA region. In contrast, government expenditures and migrant remittances are found to be crucial in promoting human development in both the short- and long-run. FDI and ODA do enhance human development, but only in the short-run. In parallel, control of corruption, government effectiveness and regulation quality are essential boosters of human development in the MENA region, but with different importance, while political stability was found to be irrelevant.

To the authors’ best knowledge, this is the first study that examines the impact of financial inflows and institutional quality on the overall human development index in the MENA region. The contribution of this paper lies in unlocking for policymakers the potential impactful financing resources to serve national developmental plans, in an endeavour to catch up to the SDGs amid the additional challenges imposed by governance and institutional environment.

This study aimed to measure the effects of the Russian–Ukrainian war on the value of imports and the food trade balance in Saudi Arabia.

Estimating the suggested model using econometric analysis for the years 1990–2021.

The amount of deficit increased in the food trade balance from 11.58 billion riyals in 1990 to 72.98 billion riyals in 2021. As for the increase in the index of food production by 10%, it leads to a decrease in the value of food imports for Saudi Arabia by 1.88%. Also, the value of the deficit in Saudi Arabia's food trade balance decreases by 5.24% as a result of a 10% rise in food exports to the country.

In light of the increase in the food price index to 145.8, the value of food imports and the deficit in the food trade balance exceed their counterparts in the current situation for the year 2021, at a rate of 37.1% and 44.5% for each respectively. In view of achieving huge financial surpluses as a result of the rise in oil prices, the Saudi Arabia is able to bear the high import bill and the amount of food trade balance deficit. Finally, the Russian–Ukrainian war leads to an increase in the cost of obtaining food commodities and their unavailability in the markets and thus affects the food security environment. Therefore, this study recommends the necessity of conducting more studies on the impact of the war on the food security of the Kingdom of Saudi Arabia.

In the current competitive era of industrialization, a significant level of innovation is necessary to meet the growing competition. There are many economic forces that determine the pace of innovation within a country. Among others, this study aims to focus on exploring the relevant role of corruption control (CC) in determining the innovation level.

For empirical analysis, the authors sample the 24 years of data (1996–2019) of Asian economies and use the fully modified ordinary least square (OLS) and dynamic OLS models to check the regression among variables. The selection of both techniques is based upon the empirical suggestions offered by unit root testing and the Johansen cointegration test.

The empirical findings infer the positive and statistically significant role of CC in boosting innovation. Strengthening the corruption-free environment encourages innovation activities within the country. In addition, foreign direct investment has a negative relationship with CC while financial development, economic growth, export volume and government subsidies positively determine the innovation level.

Based on empirical analysis, it is suggested that the policy officials should do more focus on CC to enhance the competitiveness of the country through more innovation.

The empirical analysis robust the findings of existing literature in an alternative data set and offers innovative views regarding the role of other factors in boosting the innovation level.