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The purpose of this paper is to examine the effects of gravity variables and trade costs on China's export margins.

Following the structural gravity model with firm heterogeneity, the paper measures the extensive margins and intensive margins of China's export across 46 export destinations and estimates the linkage between export margins and its potential determinants.

The empirical results confirm the gravity relationship hold for bilateral trade and export margins. Furthermore, trade costs have different influence on extensive margins and intensive margins as the structural gravity model with firm heterogeneity expected. The paper also shows the rapid growth of China's export is mainly along the intensive margins which are increasing in fixed cost for export.

The paper contributes to the measurements of China's export margins and the empirical research on effects of trade liberalization on China's foreign trade.

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.

The purpose of this paper is to examine the extent of the trade integration of Thailand with the Mekong region in comparison with its trade integration with the other major partners (advanced ASEAN, China, India, Japan, and the USA).

The study adopts the gravity trade model as an analytical framework, for the period from the 1980s through the 2000s.

It is found that Thailand's trade integration with the Mekong region has remarkably grown from the 1980s to the 2000s, in the sense that Thailand's total trade with the Mekong region, which lies below the gravity‐model standard in the 1980s, exceeds the standard in the 1990s and the 2000s. However, it is also found that the intensity of Thailand's trade integration with the Mekong region is still behind that with advanced ASEAN even in the 2000s. It might come from the higher service‐link costs that prevent the Mekong region from being fully involved in the international production network.

The paper may be valuable to the policy makers and researchers in the Mekong region, since it contributes to reviewing the two‐decade progress of the regional cooperation of the Greater Mekong Subregion from such quantitative perspectives as trade integration.

This paper aims to use the approach based on the application of the law of gravity for the study of the flows of export and the effects of the RTAs.

In this paper, the authors evaluate the effects of RTAs on exports between members and non-members taking into account the Vinerian specification. The authors also try to estimate the impact of the recent economic crisis on the flows of export and the success of the RTAs. The authors use a model of static and dynamic gravity for 40 countries and six RTAs during the period 1980-2011.

Definitely the proliferation of RTAs will continue to be one of the driving forces that will constitute the political system and the global economy in the following years. It indicates a process that implies the merger of economies separated in bigger regions of free trade. Regional integration is seen as beneficial in many senses and is the major economic objectives in addition to presenting a stabilizing factor in international relations.

The gravity model is estimated using the last techniques of panel data which takes into account the endogeneity of the effects of integration and the existence of dynamic effect.

The purpose of this paper is to analyze specifications of the China’s foreign trade policy with Organization of the Petroleum Exporting Countries (OPEC) member countries.

The paper conducts three panel data estimations (fixed effect [FE], random effect [RE] and fully modified ordinary least squares [FMOLS]) based on the gravity model approach for bilateral trade patterns in natural resource and non-natural resource commodities between China and 13 OPEC members over the period of 1998-2014.

The findings reveal that the gravity equation fits the data reasonably well. The existence of long-term relationships between the bilateral trade flows and the main components of gravity model – GDP, income (GDP per capita), the difference in income, exchange rate, the openness level, distance and WTO membership – through the FE, RE and the FMOLS approaches was confirmed. The estimation results show that the trade pattern between China and OPEC member countries relies on the Heckscher–Ohlin theory, thus being explained by difference in factor endowments such as energy resources and technology.

To the best of the authors’ knowledge, this is the first attempt to examine the China’s foreign trade policy with the OPEC member countries through a gravity trade approach.

Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China’s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade.

The gravity theory of trade explains the potential for trade between nations, but its application to trade in halal food has been questioned by previous studies. This study aims to investigate this issue and the role of trading partners’ economic strength and their distance from one another to identify Malaysia’s potential to export food to key halal markets.

The gravity theory of trade was used to examine Malaysia’s top 10 food exports to key halal markets from 2000–2017. The gravity panels were estimated using the Hausman-Taylor modelling technique to control for endogeneity within the model.

The application of the gravity theory of trade to a halal market context provides mixed results. Although the high economic strength (gross domestic product) of the trading partners enhances halal trade, the distance between the partners does not affect the volume of halal food exports. Moreover, the study identifies Malaysia’s potential to export only a few food commodities to key halal markets.

This study challenges the applicability of the gravity theory of trade to the halal food market. The study extends the model with additional controls for behavioural aspects and applies it to commodity-specific segregated trade in halal food. The findings underscore the need to extend the theory beyond its current focus when explaining trade opportunities in halal markets.

The purpose of the chapter is to test the hypothesis that food safety (chemical) standards act as barriers to international seafood imports. We use zero-accounting gravity models to test the hypothesis that food safety (chemical) standards act as barriers to international seafood imports. The chemical standards on which we focus include chloramphenicol required performance limit, oxytetracycline maximum residue limit, fluoro-quinolones maximum residue limit, and dichlorodiphenyltrichloroethane (DDT) pesticide residue limit. The study focuses on the three most important seafood markets: the European Union’s 15 members, Japan, and North America.Our empirical results confirm the hypothesis and are robust to the OLS as well as alternative zero-accounting gravity models such as the Heckman estimation and the Poisson family regressions. For the choice of the best model specification to account for zero trade and heteroskedastic issues, it is inconclusive to base on formal statistical tests; however, the Heckman sample selection and zero-inflated negative binomial (ZINB) models provide the most reliable parameter estimates based on the statistical tests, magnitude of coefficients, economic implications, and the literature findings. Our findings suggest that continually tightening of seafood safety standards has had a negative impact on exporting countries. Increasing the stringency of regulations by reducing analytical limits or maximum residue limits in seafood in developed countries has negative impacts on their bilateral seafood imports. The chapter furthers the literature on food safety standards on international trade. We show competing gravity model specifications and provide additional evidence that no one gravity model is superior.

As a coastal emerging country, export-led marine economy has been the development model of Vietnam over the past decades since The Renovation 1986. Given the rise of globalization, regional economic integration and logistics enhancement have been identified as key engines for economic sustainability by Vietnamese government. Nevertheless, little sectoral and sub-sectoral evidence has been given for the platform shaped by policies relevant to export, logistics performance and regional economic integration. The paper employs the trade gravity model to study the relationship between seafood export, logistics performance and regional economic integration in the case of Vietnam. Sectoral and sub-sectoral trade gravity models are employed. Logistics performance from the exporter-side and importer-side is included in the estimations. Membership to effective regional trade agreements of Vietnam are proxies for regional economic integration. Zero trade issue is resolved by the Pooled Ordinary Least Squares (POLS), Poisson Pseudo-Maximum Likelihood (PPML) and Heckman Sample Selection estimations, while endogeneity is tackled by the difference and system Generalized Method of Moments (GMM) models. Findings vary by estimation methods, data levels, product groups, and whether which side is considered. In addition, theoretical contributions and some seafood export-driving policy recommendations relevant to regional economic integration and logistics performance development are discussed.

This study aims to quantitatively identify the impact of major economic and political factors on the US apparel imports from its 15 major trading partners between 1995 and 2006.

Ordinary‐least‐square (OLS) regression under a gravity model framework was utilized to construct the analysis. The determinants of US apparel imports were determined and their significance and direction of change over the period were quantified.

First, the growths of GDP and population both in the USA and within its trading partners have been drivers of US apparel import growth, while greater geographic distance between a trading partner and the USA significantly impedes its exports to the USA. Second, the positive impact on the US apparel imports from the supplying country's infrastructure development, literacy rate and its language commonality with the USA shows that these factors are pivotal to being a competitive US apparel supplier. Finally, preferential market access is proven to be crucial for suppliers to increase apparel exports to the USA.

In future work, the impact of these factors on disaggregated apparel categories could be investigated. Some emerging issues such as non‐tariff barriers could be exploited.

The findings reveal that the US apparel sourcing decisions are made on the basis of many different costs, not only labour cost, but also economic condition, government policy, infrastructure, transport time and cost, language/culture commonality etc.

The study provides a springboard for empirically analyzing the US apparel imports under a gravity model framework. The conclusions are drawn based on solid quantitative evidence.