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Political risk factors play a pivotal role in determining the bilateral trade flow of Asian countries in general and the Association for Southeast Asian Nations (ASEAN) countries in particular. The main purpose of this research paper is to examine the impact of disaggregated political risk in lowering the bilateral trade flow of Thailand, a prominent member of ASEAN, vis-à-vis her 132 trading partners.

Using panel data of Thailand with her partner countries for the period 1984–2015, this paper uses four different panel specifications named pooled ordinary least squares and random effects estimations (estimated generalized least squares estimation) of three types by controlling for cross-sectional heteroscedasticity, time-wise heteroscedasticity and contemporaneous correlation.

Holding other gravity-based determinants constant, for one unit increase in the ranking of indicator of military in politics at home and abroad, trade flow decreases by 5–9% of the total trade flow of Thailand per year. For other types of political risks like government instability at home and abroad, difficulties in investment profile at home and abroad and internal and external conflict at home and abroad, the decrease is also substantial and most statistically significant. The magnitude of loss due to the military channel at home and abroad can amount to US$9.38–US$16.88 bn per year for Thailand, after controlling for other gravity variables.

The reasons for risk originating from different political channels could be explored at the regional or global level to understand their global and local dimensions.

Policymakers should attempt to resolve the political risks at home and abroad in an amicable manner, through dialogue, so that bilateral trade flow is not inhibited.

By taking economic reforms only, the trading problem cannot be resolved until and unless Thailand involves her society, politics and administrative mechanisms in a conducive manner to facilitate her trade. A dialogue among bureaucracy, political authority and military is beneficial in mitigating political risks.

The paper is unique in the sense that it makes a solid attempt to identify the potential channels of disaggregated political risk in affecting trade flow negatively, in a gravity framework, by controlling for different kinds of error structure.

Since the last review article by McKenzie, the literature has experienced a surge in the number of empirical articles. These new contributions, coupled with those that were overlooked by McKenzie, set the stage for this review. Many of the recent studies have been empirical in nature and these deserve specific attention. Thus, this paper aims to survey and review all of the studies by paying attention to the attributes outlined in the text.

This paper examines the vast empirical literature, up to 2005, to assess the main trends in modeling and estimating these trade flows at the aggregate, bilateral, and sectoral levels.

The increase in exchange‐rate volatility since 1973 has had indeterminate effects on international export and import flows. Although it can be assumed that an increase in risk may lead to a reduction in economic activity, the theoretical literature provides justifications for positive or insignificant effects as well. Similar results have been found in empirical tests. While modeling techniques have evolved over time to incorporate new developments in econometric analysis, no single measure of exchange‐rate volatility has dominated the literature.

An argument put forward by the opponents of the floating exchange rates is that such rates introduce uncertainty into the foreign exchange market, which could deter trade flows. However, a theoretical argument is put forward by some to show that uncertainty could also boost trade flows if traders increase their trade volume to offset any decrease in future revenue due to exchange rate volatility. The empirical literature reviewed in this paper supports both views.

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.

This paper analyzes the impact of macroeconomic variables such as real exchange rate, exchange-rate volatility, and economic growth of the UK and Norway on Norway’s bilateral trade flow to the UK via maritime and other transport modes. The first two models considered trade volume (import and export) via only maritime transport, while the third and fourth models considered trade volume via modes other than maritime transport. The empirical validity of the Marshall-Lerner condition is tested to see whether a devaluation of the real exchange rate improves the trade balance in the long term. In addition to the long-term relationship among variables, short-term effects are also evaluated. The results show that the real income of Norway and its trading partner (the UK) is the main determinant of bilateral trade flow via maritime and other transport modes. Moreover, the results indicate that in the long run, the Marshall-Lerner condition is satisfied only for bilateral trade via modes other than maritime transport.

This study proposes spatial origin-destination threshold Tobit to address spatial interdependence among bilateral trade flows while accounting for zero trade volumes.

This model is designed to capture multiple forms of spatial autocorrelation embedded in “directional” trade flows. The authors apply this improved model to export flows among 32 Asian countries in 1990.

The empirical results indicate the presence of all three types of spatial dependence: exporter-based, importer-based and exporter-to-importer-based. After further considering multifaceted spatial correlation in bilateral trade flows, the authors find that the effect of conventional trade variables changes in a noticeable way.

This finding implies that the standard gravity model may produce biased estimates if it does not take spatial dependence into account.

This paper attempts to offer an improved model of the standard gravity model by taking spatial dependence into account.

Liner shipping plays a crucial role in facilitating the movement of manufactured goods around the world. While previous literature has shown that liner shipping is an important trade driver, potential differences across trade routes and world regions have not as yet been explored. This paper examines whether the impact of liner shipping on bilateral trade flows differs significantly across world regions, as well as exploring other geographical patterns.

Using state-of-the-art gravity modelling, this paper investigates the impact of the UNCTAD's Liner Shipping Bilateral Connectivity Index on bilateral trade in manufactured goods using a comprehensive database of disaggregated trade data for the period from 2006 to 2019.

The results show that the trade effect of liner shipping is greater in long-distance and interregional bilateral flows. For some regions, such as North America and Oceania, the effect is greater than the world average, while for others, such as Africa and South America, the effect is significantly smaller. The trade effects of liner shipping connectivity on the main east–west routes are average, but clear asymmetry emerges when analysing China's inward and outward trade flows separately.

The results of this paper show that the major east–west routes determine the baseline trade effects of liner shipping, demonstrate that some north–south trades such as those involving Oceania generate larger trade effects and confirm that the trade effects of liner shipping can be improved for some world regions such as South America and Africa.

The purpose of this study is to modify the gravity model to identify the main determinants of the European Union (EU) bank lending to the Central and Eastern Europe (CEE) countries during 1994-2012.

This study uses both two-stage least squares and dynamic generalized method of moments to estimate the modified gravity model.

This study finds that the CEE countries with more developed stock markets have received the higher EU bank lending inflows. The EU banks have greater access to additional financing in the stock markets. Second, the higher stock market difference between the CEE and EU countries has boosted the EU bank lending. Compared to the developed EU stock markets, the less developed CEE stock markets have become more favorable to the EU banks seeking to earn higher profits.

The CEE countries can further boost the EU bank lending inflows through deepening capital liberalization. They should facilitate easy foreign bank entry by reducing excessive bank legislations and regulations. Moreover, they can promote the EU bank lending through substantial EU bank integration. This can accelerate the major bank reform which would facilitate better bank supervision and regulations.

Most previous studies have primarily used the macroeconomic and institutional factors to explain the EU bank lending. In contrast, this study explores the growing importance of the CEE financial development and bilateral trade in explaining the EU bank lending.

This study constructs a comprehensive, internationally comparative set of foreign trade data for the period 1857–1875. The dataset is constructed using information at the commodity group-level and contains import and export values for the UK, France, the Zollverein, the Netherlands, Belgium, Austria-Hungary, and the United States, itemised by trade partner. The study tackles three basic problems related to the heterogeneity in national statistics of the period: different definitions of aggregates, inadequate ‘official’ pricing, and the ‘proximity bias’, i.e. the misleading practice of crediting imports to bordering countries from where they physically entered, but where they did not originate. After passing successfully a consistency test, the resulting dataset contains harmonised and country of origin-corrected bilateral trade values for 7 central importers, 10 points in time, and 21 commodity groups, along with ad valorem tariff rates for all commodity groups and countries. They offer new detailed insights into the composition and evolution of trade and tariffs in the third quarter of the 19th century. Furthermore, a basic implementation of the gravity equation shows that as a consequence of the proximity bias estimates using uncorrected data are to be taken with care, especially when assessing border effects and the impact of policy variables.

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) flows from some leading developed countries (the USA, Japan, Germany, the Netherlands, the UK and France) into major four Asian economies (China, Korea, India and Singapore).

Using one basic and four augmented versions of gravity model technique, the authors tried to examine the determinants of bilateral FDI flows in four major Asian economies. The study used World Development Indicators, CEPII, KOF and Heritage Foundation data for period 2001–2012.

The results revealed that besides the market size for host and source country, other criteria such as distance, common language and common border also influence foreign investors. Other macroeconomic factors such as inflation rate and real interest rate are among the key factors that attract more FDI. In addition to economic factors, institutional and infrastructural factors such as telecommunication, degree of openness, index of globalisation and index of economic freedom also stimulate the international investors from the developed world to the major Asian countries.

It is altogether possible that only a set of home country specific characteristics or host country specific characteristics does not matter when determining FDI. Most empirical studies using indices such as the index of globalisation and economic freedom are subject to certain methodological limitations such as model selection, parameter heterogeneity, outliers and moral hazard.

More distance between the host and source country would result in less FDI flows due to more managerial and raw material supply chain cost. Similarly, more gross domestic product (GDP) and per capita income (PCI) are leading to more FDI flows into Asian economics. Therefore, major Asian economies should frame their economic policies in such a manner where these counties can strengthen their GDP as well as PCI. Furthermore, above countries should open its economy more and more for better FDI flows as it seems that economic globalisation and economic freedom are major determinants of bilateral FDI flows. The negative impact of inflation and interest rate should be controlled.

From policy perspective, higher scores of economic, social and political globalisation also attract high FDI to the host country. On the same line higher scores in economic freedom mean that less restrictions in terms of economic policies and the policy environment are conducive for free trade and resource transfers. Higher scores in trade freedom, investment freedom and freedom from corruptions also show more developed and conducive policy environment. In the same reasoning higher scores in the composite index of economic freedom which takes information from trade freedom, investment freedom and freedom from corruption and others also encourage flow of FDI in to the host country.

This is the first paper which combines the globalisation index, economic freedom index and distance along with some major macroeconomic variables.

Two fundamental reasons that account for the domestic bias of consumption are distance and borders. Distance proxies for unobservable trading costs, which include, among other things, transport and administrative costs. Distance is a powerful deterrent to international trade. This fact is illustrated by considering the situation of Bahrain and Qatar, Belgium and India, and Indonesia and Guyana, which are, respectively, the closest (55.5mi), the median (4,414.7mi), and the farthest (12,351.1mi) country pairs in a large sample of bilateral trade flows (see Chapter 2). For Bahrain and Qatar, distance is estimated to reduce the estimate of bilateral trade flows by 39%; for Belgium and India, the reduction is 58%; for Indonesia and Guyana, the reduction is 121% (it exceeds the value of bilateral transactions). The success of the gravity model in explaining bilateral trade flows is due, to no small measure, to distance. For example, the standard trade model of complete specialization, without trading costs, makes two strong predictions. The first is that a country will import goods from all other countries in the world and the second that bilateral trade flows are proportional to the income of the two countries. Both predictions are way off the mark. Countries import from a small fraction of the potential pool of exporters and incomes alone over-predict actual trade flows by a large margin.