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The paper focuses on the comparative analysis of the impact of trade facilitation measures on the export performance of countries such as Vietnam, Kenya, and Germany. The countries have been selected based on the differences on their income, development levels, and locations in various continents but common in successful application of the e-custom clearance system to reduce the trade cost. The paper employs panel data analysis to assess the impact of trade facilitation on export performance across such countries from 2007 to 2017. The parameters denoting trade facilitation adoption include time for export (time_ex), cost for export (cost_ex), the Logistic Performance Index (LPI), and the e-clearance procedure of World Bank. Results obtained through empirical analysis indicated that trade facilitation measures i.e. electronic clearance, time for exports, cost of export cause, and impact exports significantly. The study suggested that the government of each nation should focus on adapting trade simplification and facilitation measures to help further in reduction of time and cost of exports. There is a need to implement electronic data interface for promotion of exports, especially in Vietnam.

This study comes from the theme of World Customs Organization “Trade facilitation initiatives and intergovernmental schemes of customs community have been providing logistics enterprises with many opportunities to join effectively and profitably in the integrated supply chains all over the world” (World Customs Organization, 2016). Authorized Economic Operator (AEO) and AEO Mutual Recognition Agreements (AEO MRAs) are the security and trade facilitation initiatives aiming to enhance global trade security and foster business competitiveness in many countries. In principle, this initiative helps well-regulated enterprises to gain priorities in trade and supply chain operations provided that they adequately meet the criteria of the AEO program. However, the Vietnamese logistics companies cannot gain benefits from the AEO program due to specific requirements of doing international trade transactions like very high exports and imports turnover as well as big volume of customs declarations. That is why there is no Vietnamese logistics company who has been granted AEO status by the end of 2018 (GDVC, 2018). This study aims to figure out the reality that the Vietnam’s current AEO program is highly challenging the Vietnamese logistics companies.

Despite enormous academic interest in international trade costs and keen policy interest in efforts to reduce them, little is known about the effects of trade facilitation measures. This study evaluates a significant Albanian reform that sharply reduced physical inspections of import shipments. An estimation strategy that isolates quasi-random variation in the allocation of shipments to physical inspections is used to show that reduced inspections significantly increase imports. Import flows that are observed least frequently see the largest trade responses to reduced inspections. The effect of inspections on imports is virtually independent of changes in clearance time and clearance time uncertainty. Tariff and other tax revenues collected at the border rise in direct proportion to growth in declared import value. There is no compelling evidence that reduced inspections increase evasive behavior, perhaps because most of Albania's imports are tariff-free.

The growing trend of economic integration and globalization has made the need to harmonize cross-border trade and their associated procedures among trading countries, inevitable. Nonetheless, there is an emerging debate about the environmental consequences of engaging in trade interactions among the policymakers, trade pundits and researchers alike. To this end, this study examines whether Africa’s inefficient trade facilitation procedures hold plausible explanations for her coincidental low incidence of carbon emissions. The empirical evidence is based on both Pooled Ordinary Least Squares (POLS) and Two-Step System Generalized Method of Moments (Sys-GMM) on six components of trade facilitation (costs, documents and time required to import and export) vis-à-vis the environmental measures including carbon emissions (CO2), and nitrous oxides (N2O) on a panel of 48 African countries over the period spanning, 2005–2014. While the choice of the former estimator is chiefly influenced by the need to have a baseline model on the one hand, the choice of the latter is motivated by the need to account for econometric concerns including endogeneity, reverse causality and simultaneity bias, respectively, on the other hand. The main finding from the study reveals a significant negative relationship between trade facilitation and environmental pollution captured. On the policy perspective, determining the threshold levels of trade procedural measures is necessary for achieving effective regulation of inflow of carbon–embodied goods and services into an already environmentally lax continent.

PurposeThe purpose of this study is to explore the potential for the development of a country logistics performance assessment approach based upon textual big data analytics.Design/methodology/approachThe study employs design science principles. Data were collected using the Global Perspectives text corpus that describes the logistics systems of 20 countries from 2006–2014. The extracted texts were processed and analysed using text analytic techniques, and domain experts were employed for training and developing the approach.FindingsThe developed approach is able to generate results in the form of logistics performance assessments. It contributes towards the development of more informed weights of the different country logistics performance categories. That said, a larger text corpus and iterative classifier training is required to produce a more robust approach for benchmarking and ranking.Practical implicationsWhen successfully developed and implemented, the developed approach can be used by managers and government bodies, such as the World Bank and its stakeholders, to complement the Logistics Performance Index (LPI).Originality/valueA new and unconventional approach for logistics system performance assessment is explored. A new potential for textual big data analytic applications in supply chain management is demonstrated. A contribution to performance management in operations and supply chain management is made by demonstrating how domain-specific text corpora can be transformed into an important source of performance information.

This study examines the impact of trade facilitation, as measured by the World Bank’s logistic performance index (LPI), on intra-Southern Africa Development Community (SADC) exports. It further performs counterfactual simulations to estimate expected intra-SADC export gains resulting from improvements in components of the LPI. Gravity results show that a 1% increase in LPI by the importer is associated with a 1.225% increase in intra-SADC exports on average. With regard to components of LPI, a 1% improvement in customs and border efficiency and timeliness is associated with a respective increase in intra-SADC exports by 1.333% and 2.072% on average, respectively. Counterfactual simulations show that if SADC member states whose LPI and components of LPI, particularly customs and border efficiency and timeliness, are below the SADC average are improved to reach the SADC average, intra-SADC exports would increase by US$7.8 billion, US$1.45 billion and US$1.53 billion, respectively. Furthermore, the biggest beneficiaries of these improvements would be Angola, the Democratic Republic of Congo and Zimbabwe. The study recommends that underperforming member states undertake trade facilitation reforms in components of LPI.

International trade in services has become more important in recent years as advances in technology have permitted new means of providing services across borders. Services have emerged as crucial economic activities in India, more prominently over the last decade. Apart from providing the bulk of employment and income in India, the services sector also serves as a vital input for producing other goods and services. While a large part of India's services sector is untapped and rarely explored by the international market, a growing number of barriers have been impeding India's international market access in the services sector. In this article, we performed a gravity analysis of the linkages between India's services trade flow and its probable barriers. The estimated results show that a 1 per cent improvement in services trade facilitation measures would lead to a 2 per cent rise in services exports in India. The paper concludes that improved trade facilitation may help unlock unrealized services trade potential, and, therefore, more effective policy toward an improved services trade infrastructure would be needed to facilitate services exports from India.

Subject and purpose of work: This study analyzes the determinants of intra-ECCAS trade, with special attention paid to the role of institutional quality from 1996 to 2021. Materials and methods: The study conducts descriptive analysis and utilizes a Negative Binomial Pseudo Maximum Likelihood to analyze the determinants of intra-ECCAS trade. Results: The results suggest that gross domestic product (GDP), population, time taken for export shipment in the exporting countries and the bilateral real exchange rate of the importing partner country enhance intra-ECCAS trade flow. On the other hand, distance, two trading partners being landlocked, time for importing countries and bilateral real exchange rate of the exporting partner discourage this. Furthermore, the findings reveal that institutions are vital to intra-ECCAS trade. Conclusions: T he key d rivers of intra-ECCAS t rade a re GDP, population, t ime t aken for export shipment in the exporting countries, bilateral real exchange rate of the importing partner country, and institutions’ quality measures.

The research aims to examine the extent to which trade facilitation impacts bilateral trade in the India–Middle East–Europe economic corridor. By utilizing cross-sectional data from the year 2022 and applying the ordinary least squares method, the study establishes a significant positive relationship between the bilateral trade in the India–Middle East–Europe economic corridor and the following independent variables: common borders, resource endowment in the exporting country, and market size in the importing country. Conversely, there is a significant inverse relationship between bilateral trade in the India–Middle East–Europe economic corridor and the variability in trade facilitation between the two participating parties. Accordingly, the intensity of bilateral trade increases as there is a greater degree of convergence and similarity in trade facilitation performance among the countries involved in the India–Middle East–Europe economic corridor.