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The Association of Southeast Asian Nations (ASEAN) has evolved into ASEAN Economic Community (AEC), which aims to pursue a single market and production base to transform ASEAN into a dynamic, competitive and global region. ASEAN is inherently heterogeneous that potentially could promote further economic integration, fundamentally, through the interactions between intra-regional outward foreign direct investment (OFDI), export trade and economic growth. Hence, this paper attempts to explore the causal relationship between intra-ASEAN OFDI, intra-ASEAN exports and economic growth of ASEAN-10 countries.

This paper attempts to explore the causal relationship between intra-ASEAN OFDI, intra-ASEAN exports and economic growth of ASEAN-10 countries, using regional panel data based on Dumitrescu and Hurlin (2012) non-causality analysis, which allows us to take into account of the heterogeneity in terms of causal relationships.

The empirical study shows bidirectional causality between intra-ASEAN export and intra-ASEAN OFDI, a bidirectional causality between intra-ASEAN export trade and intra-ASEAN economic growth and a unidirectional causality running from the real GDP of ASEAN-10 countries to intra-ASEAN OFDI.

The findings have implications for the extent of intra-ASEAN production fragmentation, policy formulations for furthering intra-regional OFDI, and trade to achieve the ASEAN integration agenda.

The main contribution of the current study is to use the panel causality analysis for an emerging dynamic region, specifically, the AEC. As far as we know, this is the first study ascertaining whether there is a causality relationship between intra-ASEAN OFDI, intra-ASEAN export trade and economic growth of ASEAN-10, which is a longstanding objective of ASEAN integration agenda.

This study examines the long-term and causal relationship among foreign direct investment (FDI) inflows, trade openness and economic growth from India.

This study has used annual time series data from the period 1985–2018 and applied the Johansen cointegration and vector autoregression (VAR) model.

The results of Johansen's cointegration confirm no long-term relationship among all the above three variables. Further, the results of VAR Granger causality indicate that FDI causes economic growth and economic growth causes FDI, which confirms the bi-directional causality. In contrast, this study found that there is no bi-directional causality between trade openness and economic growth.

Through this study, the government could take the decisions related to foreign investment after adopting more trade openness because the study results revealed that if India follows more trade openness, then how FDI will flow (upward and downward). With impulse analysis, researchers, government and policymakers take the decision-related FDI inflows for the forthcoming ten years after 2018.

This study has found the most exciting results from the impulse functions of FDI inflows, trade openness and economic growth, which showed the situation of these three variables as increase and decrease in the forthcoming ten years.

Multinational enterprises (MNEs) play a dominant role in the international business (IB) literature. Traditionally, by far the majority of IB studies deal with issues at the micro level of the individual MNE, or at the meso level of a sample of individual MNEs in industries. This paper focuses on the impact of MNE behavior through foreign direct investment (FDI) on a country’s international trade, and vice versa. In so doing, this study responds to a recent plea for more macro‐level studies in IB into the effect of MNE behavior on the macroeconomic performance of countries as a whole, particularly developing and emerging economies. In the current study, we focus on the largest developing or emerging economy of all: China. Applying sophisticated econometric techniques, we unravel the causality and direction of FDI‐trade linkages for the Chinese economy in the 1980‐2003 period.

The development in information communication and technology (ICT) has led to many changes such as reorganization of economics, globalization and trade. With more innovation processes being organized and adopted across technologies, trade, etc., these are getting more closely related and needs fresh research perspective. This study aims to empirically investigate the interrelationship between ICT penetration, innovation, trade and economic growth in 20 developed and developing nations from 1995 to 2018.

The present paper examines both long-run and short-run relationships between the four variables, namely, innovation, ICT penetration, trade and economic growth, by applying panel estimation techniques of regression and vector error correction model. ICT penetration and innovation indices are constructed using principle component analysis technique.

The findings of the study highlight that for developed nations, growth, trade and innovation are significantly interlinked with no significant role of ICT penetration While for developing nations, significant relationship is present between growth and trade, ICT penetration and innovation. With respect to trade, in case of developed nations, significant relationship is present with ICT penetration. While for developing nations there is no significant result for trade promotion. On further employing the vector error correction model, the presence of short run causality between growth, trade and innovation in case of developed nations is established but no such causality between variables for developing nations is seen.

The present paper adds to the existing strand of literature examining interlinkage between innovation and growth by introducing new variables of ICT penetration and innovation.

The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China are selected as variables. In addition to this issue, monthly data of these variables for the periods between 1990 and 2019 are taken into consideration. In the evaluation process, both Engle–Granger cointegration and Toda–Yamamoto causality analysis are considered. The results of Engle–Granger cointegration analysis indicates that there is a ­relationship between trade war and oil prices. Nevertheless, according to the results of Toda–Yamamoto causality analysis, it is identified that trade war does not cause oil prices. While looking at these results, it is determined that trade war between the United States and China has an influence on the oil price changes. However, it is also understood that it is not the main factor of this volatility. Thus, it is recommended that in order to identify the main indicator of the oil price volatility, some different factors should also be taken into consideration.

The aim of this research is to investigate the causal relationship between trade openness (TO) and life expectancy (LE) at birth in Latin American countries over the period of 1980–2014.

The bootstrap panel Granger causality test proposed by Emirmahmutoglu and Kose (2011) was used to determine the direction of causality in the presence of cross-sectional dependency and heterogeneity among Latin American countries. Also, four different tests were employed in order to determine the cross-sectional dependency and slope homogeneity. The stationarity properties of variables were inspected by employing a unit root test.

The findings indicated that Granger causality existed between TO and LE, at birth which was running from the former to the latter for panel. On a country basis, TO Granger caused LE at birth for countries with low level of economic development and higher taxes on income and profits.

This study provides new insights for policymaking regarding the role of TO in achieving comprehensive economic reforms to increase LE at birth during a period of intense trade rivalry across nations.

Although research in the literature has mainly focused on the impact of TO on LE at birth with panel data, most studies ignored the regional effects. It is the authors’ concern that the direction of causality can be country-specific and have regional characteristics. In this regard, instead of dividing countries for a specific region into two parts such as developing and developed, the authors investigated the pattern of trade–health link for a specific region, Latin America.

Using panel data for the Regional Comprehensive Economic Partnership (RCEP) member states, the present study explored the role of RCEP negotiations on tourism development.

A dynamic econometric model, namely the panel autoregressive dynamic lag model (PARDL) has been used. To test for panel causality, Dumitrescu–Hurlin panel causality tests were used.

Through the use of a dynamic econometric model, namely the PARDL, the results show that the RCEP negotiations, growth rates, as well as international trade contribute towards tourism development. Furthermore, the Dumitrescu–Hurlin panel causality tests confirm the existence of a bidirectional causal link between tourism development and RCEP negotiations. Finally, a unidirectional causal link is observed between tourism development and international trade.

This existing evidence on the topic seems to be very scant and limited to specific regions and particular regional trade agreements. This paper thus fills an important gap in the literature by advancing evidence about the effects of the RCEP on international tourism flows across member countries.

The relationship of outward foreign direct investment (OFDI) with home country's exports has significant implications for policymakers as well as business managers of MNEs. Since BRICS nations have emerged as important sources as well as destinations of FDI, this paper aims to study the impact of OFDI from these countries on home country exports by using panel data for BRICS for time period 1993–2015.

The author use panel unit root tests, panel cointegration, VECM and causality tests in the study.

The results reveal that OFDI has a negative and significant impact on home country exports indicating that outward FDI is a substitute for exports in these countries. It also indicates long-run causality from exports towards OFDI. There is no long-run causality running from OFDI to exports, suggesting that MNEs do not “connect” with home economies' firms through forward and backward linkages in value chain.

From the point of view of policymakers, it implies a net outflow of capital as the outflow of foreign investment would not be matched by any incremental export earnings since exports are getting substituted by production abroad. For business managers, it is indicative of a growing foreign market that warrants large scale production and justifies the high cost and risk involved in FDI as a mode of entry compared to exports.

To the best of authors' knowledge, this is the first attempt to deal with the relationship between home country exports and OFDI, for an important group of emerging market economies, i.e. BRICS. The understanding of this relationship allow us to identify whether factors contributing to OFDI from emerging economies are “tied” to their home economies thereby making exports necessary or are rather based on firm specific competencies which are leveraged in different locations to cater to expanding markets.

This study aims to empirically examine the relationship between financial development and trade performance for the Indian economy through a time-series analysis with annual data over the period 1980-2016.

The study uses new econometrics techniques such as unit root tests in the presence of endogenous structural breaks and autoregressive-distributed lag bounds test for the analysis.

Empirical results reveal that the level of financial development has a significant positive impact on the exports, imports and trade balance of manufactured goods for the Indian economy.

The findings suggest that the positive effect of financial development on trade performance is a potential mechanism through which the former may affect overall income and growth rates. It also implies that standalone trade liberalisation policies are insufficient to increase Indian exports. Indian policymakers should, therefore, consider the implications of the next set of financial sector reforms on the country’s trade flows, besides their positive impact on the economic performance. The findings are particularly relevant in the present scenario when the export growth is decelerating and there is a marked slowdown in private credit flows because of the problem of non-performing assets.

This study is the first of its kind which provides a holistic analysis of the relationship between financial development and trade performance for the Indian economy and also investigates the direction of causality between financial development and international trade by considering the possible presence of multiple endogenous structural breaks in the data. Moreover, in contrast to the available literature, the present study focuses on net exports as a key indicator of trade performance rather than trade openness.

This study examines the impact of China’s trade, aid and foreign direct investment (FDI) on the economic growth of Africa.

Our study covered 41 countries in Africa, cutting across the western, eastern, central, southern and northern sub-regions. The study adopted the dynamic system generalized method of moments (SGMM), feasible generalized least squares (FGLS) and Dumitrescu–Hurlin Panel Granger causality techniques for estimations.

Overall, FDI, trade and aid from China have a nonlinear relationship with Africa’s economic growth. The findings reveal a key novelty in that the marginal effect on real per capita GDP increases when China’s FDI interacts with the manufacturing sector in Africa. These findings are robust to long-run estimations.

Given that we have examined the short-and long-run symbiotic effects of China’s FDI and Africa’s manufacturing sector and China’s aid and Africa’s manufacturing sector, more studies are warranted in this area, particularly to produce further empirical evidence of these findings. Moreover, future work could focus on investigating the country-specific effects of China’s trade, China’s FDI and China’s aid on real GDP per capita in each African country as our results reflect within-country elasticities.

This study provides new evidence on the impact of China’s trade, aid and FDI on the growth of African economies. To the best of our knowledge, this is the first study to empirically explore the long-run effects of China’s trade, FDI and aid on economic growth in African countries. This study also tests the claim of the displacement of Africa’s manufacturing industry by its Chinese counterparts.