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New horizons are opening for Africa, with a growing number of Chinese andIndian businesses fostering its integration into advanced markets. However,significant imbalances will have to be addressed on both sides of the equation to support long-term growth.

This paper extends Grossman and Helpman's seminal work (1991), and presents an endogenous growth model where innovations created in a high-tech sector may be assimilated or adapted by a low-tech sector. Applying a simple Heckscher-Ohlin framework, the effects of technological diffusion are found to allow a country relatively scarce in human capital to benefit from nondecreasing rates of growth through its low-tech sector. The model is tested by using a dynamic panel data approach (Arellano and Bover, 1995). Results are consistent with the predictions of the model and robust to a broad range of definitions of technological intensity.

The shipping sector is encountering remarkable costs concerning decarbonization of the maritime business. Both the International Maritime Organization and the European Union are developing tools to limit greenhouse gas emissions of shipping. Given all the tools and planned regulations, it seems that energy efficiency and cost cutting would be a feasible strategy of the future. However, in addition to cost cutting, shipping with net-zero or zero emission fuels might be a way to promote sustainable shipping services. A growing consumer segment is ready to pay for sustainability-marketed consumer goods, and it is possible that people would be ready to pay for net-zero or zero emission shipping as well. Our objective is to pinpoint, how big price premiums would be needed to cover the costs of shipping with sustainable, and typically more expensive, maritime fuels. We do this by calculating the amounts of fuel needed to ship specific good categories at first, and then we estimate the costs of shipping these goods with alternative fuels. We analyze Finnish maritime foreign trade during the year 2018, the time prior to the outbreak of COVID-19 pandemic. We estimate fuel consumption to the value and quantities of goods. Our findings indicate that a shift to low carbon and carbon neutral fuels would have a limited effect to the price of most goods.

Countries of the Southeast Europe (SEE) region have witnessed significant economic improvement since the beginning of their transition to market economies in the early 1990s. Growth has been particularly strong in the past six years, but still lower than in other fast growing countries in the East Asia and Baltic regions, or some of the other new member states of the European Union (EU). The purpose of this study is twofold: (i) to present recent trends in intra regional trade in SEE, in particular following the implementation of Central European Free Trade Agreement (CEFTA); and (ii) to bring the attention of policy makers to some of the remaining impediments to enhanced intra regional trade. The rest of the study is organized as follows. Chapter two describes intraregional trade patterns, both prior and after the entry of CEFTA into force, including more detailed analysis of trade structure. Chapter three emphasizes the role of nontariff barriers (NTBs), such as technical regulations and standards, and their potential impact on trade enhancement, as well as the importance of the trade related environment drawing on global surveys and reports (doing business, Business Environment and Enterprise Performance Survey (BEEPS), logistics performance indicator, and the enabling trade index). It also looks at rules of origin and their role in trade creation. Chapter four aims to present the view of the private sector on CEFTA and on trade related reforms in general through two case studies of regional firms. Finally, chapter five concludes by summarizing the key recommendations of the study.

A certain country can increase production and welfare only if it produces in industries in which price is not the single factor explaining the competitive edge. This paper attempts to assess the qualitative competitiveness of Macedonia as a candidate country for European Union (EU) accession. EU remains a main trading partner of the country, making up around two-thirds of its foreign trade. Having a small economy implies that Macedonia has to rely mainly on export-led growth. As such, addressing external competitiveness has become a more prominent issue than ever before, while improving the competitiveness is quite important in terms of EU accession. We calculate unit values to signal the Macedonia’s quality position, and then perform a country-specific segmentation of markets according to the revealed price elasticity concept (REVELAST 1). The findings suggest that Macedonia exhibits low export unit values due to the country’s specialization mostly in industries at the lower end of the quality spectrum. The analysis of product groups indicates a certain weakening—inadequate position prevails both for the levels and the type of competitive performance. The rising number of product groups in the segment with structural problems is particularly worrisome, and specifically for sectors which are the most important for achieving competitiveness with dynamic potentials. The only way for Macedonia to establish an adequate structure of foreign trade and higher levels of competitiveness is to create an appropriate environment, so that some product groups of this segment move into the segments of successful quality—and/or price competition.

We study a competitive theory of middlemen with brand-name reputations necessary to overcome product quality moral hazard problems. Agents with heterogeneous abilities sort into different sectors and occupations. Middleman margins do not equalize across sectors if production of different goods are differentially prone to moral hazard, generating endogenous mobility barriers. We embed the model in a setting of North-South trade, and explore the distributive implications of trade liberalization. With large intersectoral moral hazard differences, results similar to those of Ricardo-Viner specific-factor models obtain, whereby southern inequality increases. Otherwise, opposite (i.e., Stolper-Samuelson) results obtain.

Ukraine's Trade Policy identifies the key drivers of Ukraine's recent trade performance, assesses current trade policies, and proposes recommendations to strengthen the Ukraine’s trade integration strategy. It also identifies core bottlenecks in the ongoing integration processes, including global and regional integration. The study concludes that the main obstacles to furthering Ukraine’s trade integration are domestic, and relate to deficiencies in the business environment. Problems in customs administration, standardization, and administrative barriers for new entry require immediate attention. The report highlights specific policy issues that hamper WTO accession, such as trade legislation, protection of intellectual property rights, government support for specific industries, and export restrictions. It also recommends improvements in the structure of Ukraine’s import tariffs, reform of both the regime of free economic zones and mechanism of VAT refund, and investment in a major upgrade of government capacity for investment and export promotion. The report also draws attention to the importance of the post-WTO accession agenda for Ukraine. To take advantage of WTO membership, the Government will need to undertake significant institutional reforms to implement WTO regulatory rules in ways that facilitate integration into the world economy and provide benefits to private sector participants.

The task of trademark text recognition is a fundamental component of scene text recognition (STR), which currently faces a number of challenges, including the presence of unordered, irregular or curved text, as well as text that is distorted or rotated. In applications such as trademark infringement detection and analysis of brand effects, the diversification of artistic fonts in trademarks and the complexity of the product surfaces where the trademarks are located pose major challenges for relevant research. To tackle these issues, this paper proposes a novel recognition framework named SwinCornerTR, which aims to enhance the accuracy and robustness of trademark text recognition. Firstly, a novel feature-extraction network based on SwinTransformer with EFPN (enhanced feature pyramid network) is proposed. By incorporating SwinTransformer as the backbone, efficient capture of global information in trademark images is achieved through the self-attention mechanism and enhanced feature pyramid module, providing more accurate and expressive feature representations for subsequent text extraction. Then, during the encoding stage, a novel feature point-retrieval algorithm based on corner detection is designed. The OTSU-based fast corner detector is presented to generate a corner map, achieving efficient and accurate corner detection. Furthermore, in the encoding phase, a feature point-retrieval mechanism based on corner detection is introduced to achieve priority selection of key-point regions, eliminating character-to-character lines and suppressing background interference. Finally, we conducted extensive experiments on two open-access benchmark datasets, SVT and CUTE80, as well as a self-constructed trademark dataset, to assess the effectiveness of the proposed method. Our results showed that the proposed method achieved accuracies of 92.9%, 92.3% and 84.8%, respectively, on these datasets. These results demonstrate the effectiveness and robustness of the proposed method in the analysis of trademark data.