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Considering the proliferation of free trade agreements (FTAs) worldwide, this study develops and empirically tests a conceptual model to explain the impact of CEO attitudes on the intention of exporting firms to utilize FTA preferential tariffs. Based on a survey of 221 exporting small and medium-sized enterprises in South Korea, this study employed partial least squares structural equation modelling to test the hypotheses. Results show that perceived usefulness and organizational learning partially mediate the relationship between CEO attitudes and intention to use FTA schemes. This study deepens our understanding on the firm’s internal process for utilizing FTA preferential tariffs.

Banks play a crucial role in the sustainable development of exports as they finance much of the trade. Additionally, in Brazil's case, banks provide exporting companies with advisory and training services, which facilitate the internationalization process. This work aims to analyze the role of public and private banks in the export process of companies in Brazil.

Interviews are conducted with a sample of 318 Brazilian exporting companies. Two research questions are posed: What type of export services do companies use from public and private banks in Brazil? Is exporting companies' access to credit, as a type of banking service, related to their size or export experience? A descriptive study of the functions of public and private banks in helping Brazilian exports is presented. Hypotheses are proposed regarding companies' access to credit and its relationship with their size and export experience.

It is found that public and private banks in Brazil provide exporting companies with banking services, other services related to technical aspects, and export consulting. There are significant differences in access to credit in both public and private banks, depending on the exporting company's size.

This work contributes to the internationalization literature on the role of banks in supporting exports in an emerging country like Brazil.

The purpose of this paper is to examine the influence of innovation indicators: Internet usage, patent rights, innovation in exporting countries and innovation in the importing country on the export competitiveness of firms in the East African Community (EAC).

The study adopted the structural gravity model and the Poisson Pseudo Maximum Likelihood a nonlinear estimation method that was applied in STATA on balanced panel data from 2007 to 2018. Data were obtained from World Bank International Trade Center and World Bank development indicators.

Results show that innovation in the importing country, innovation in the exporting country and patent rights of exports are positive and significant predictors of export competitiveness in developing countries. While Internet usage is an insignificant predictor in the EAC.

There is a need to examine the complicated nature of the EAC economy to further this study's findings.

Exporting countries need to take deeper reforms as regards structural transformation to enable firms to integrate into the Global Value Chains (GVCs) to enable them to increase their productivity by reviewing the existing policies to match the changes in the market.

This study explains the complex dynamic interactions of technological innovation indicators in the EAC using quantitative data and that this interaction has an effect on the export competitiveness in import-oriented countries with less harmonization in their trade policies.

China is not only the biggest importing country of the raw materials of forest products, but also the biggest exporting country of intermediate and final forest products. The paper aims to discuss these issues.

The authors use the Khandelwal (2010) method and trade data from 2000 to 2014 of bilateral forest products between China and ten main developed countries to evaluate the quality of China’s forestry imports and exports. Subsequently, the influencing factors of product quality are analyzed.

The results show that the current export quality of plywood and fiberboard is decreasing, and the export quality of particleboard and paper products is on the rise. A further study finds that several factors have the positive effects on the quality of forestry exports, including gross domestic product of the importing country, forestry export value of the importing country as well as the number of forestry higher education graduates of the exporting country. Moreover, the study also finds that the status of an Asia-Pacific Economic Cooperation member has a negative effect on the quality of forestry exports, while the distance cost has a negative influence on fiberboard, paper and paperboard.

The study suggests that China needs to strengthen the research and development investment on forest products, and improve the quality of forest products to promote the trade development of forestry exports.

The existing literature has not shown much research regarding the quality of China’s forestry exports through econometric analysis. Therefore, the research results provide new perspective about the influencing factors on China’s forestry trade activities.

This paper aims to examine the relationship between innovation capabilities (INVC) and export performance (EXPERF) of manufacturing small and medium enterprises (SMEs). Moreover, the paper aims to investigate the moderating effect of risk-taking propensity (RSTP) in the relationship between INVC and the SMEs’ EXPERF.

A cross-sectional survey design was used and data were collected through structured questionnaires from 250 manufacturing exporting SMEs in Tanzania. Confirmatory factor analysis was used to test the measurement model. The hypotheses were empirically tested using PROCESS macro test.

The findings affirm that INVC is a significant predictor of EXPERF. Additionally, RSTP was found to be a significant moderator of the relationship between INVC and EXPERF.

Although the study was able to accomplish its overall objective, it is limited in terms of the context under which the study was conducted. This study covered only manufacturing SMEs in a single country, Tanzania. Hence, the findings should be interpreted with caution since each country has specific institutional environments that support innovation.

The findings of this study expand the application of the resource-based view (RBV) theory in exporting context. The study revealed how INVC as an intangible resource can lead to successful performance. Hence, the findings of this study broaden the applicability of RBV theory. Also, this study contributes to the debate about the innovation-export performance relationship by revealing a moderating role of RSTP in the relationship between INVC and EXPERF.

Brazil uses the dollar as a vehicle currency to invoice its exports. This fact produces a tendency toward equalizing the prices of products in dollars in the international market and reducing the ability of firms to practice pricing-to-market (PTM). This study aims to evaluate the hypothesis by estimating error correction models in panel data, obtaining estimates of PTM for 25 manufacturing products exported by Brazil between 2010 and 2020.

This study uses the correlated common effect estimator proposed by Pesaran (2006) and Chudik and Pesaran (2015b) to estimate the PTM coefficients.

Results of this study indicate that exporters practice local-currency pricing stability for dollar prices. This study obtains that Brazilian exporters tend to stabilize their dollar price for exports, reducing heterogeneity between destination markets. The results are in agreement with the hypothesis of the prevalence of the coalescing effect of Goldberg and Tille (2008) and lower sensitivity of the markup adjustment to the specific market, as pointed out by Corsetti et al. (2018). The pricing of Brazilian exports in dollars reflects a profit maximization strategy that considers an international price system based on global demand for products.

In addition to analyzing the dollar role in the pricing of Brazilian exports through the triangular decomposition, this study also shows the importance of examining the cross-section dependence of errors, considering the heterogeneous cointegration in export pricing models and producing PTM estimates for short-term and long-term.

This paper provides remarkable insight into the structural components of a firm's core competence and its development via research and development (R&D) activities for innovation and exporting activities.

The authors have used a positivist design and a deductive methodology. The authors have examined the extant literature developing a theoretical framework to empirically investigate the relationships between a firm's core competence, organisational learning (OL), tacitness, dynamic capability and R&D activities. To carry out this investigation, the authors have collected stratified sample data from 330 firms operating in North East England, a peripheral region of England.

The authors have found that there are indeed significant statistical relationships between these structural components, R&D activities and a firm's core competence, and this nexus is pertinent to innovation and exporting. Furthermore, it is found that North East England is significantly constrained by the lack of finance, technological capability, experts and brain drain. Based on these findings, the authors propose a cooperative R&D framework to narrow down these constraints to assist firms in developing core competencies for innovation and exporting in peripheral regions.

There is an urgent need to investigate the incidence of knowledge-driven activities, R&D, the extent of innovation and exporting activities of firms operating in North East England, a peripheral region of the United Kingdom (UK).

This study provides an original and systematic investigation of the firm's core competence and its formation via key structural components for innovation and exporting within an empirical framework.

This study aims to examine the influence of the entrepreneurial orientation (EO) dimensions (innovativeness, risk-taking, proactiveness, competitive aggressiveness and autonomy) on the export performance (EXP) of small and medium enterprises (SMEs).

In this study a cross-sectional survey design was used and data were collected from 250 managers of manufacturing-exporting SMEs in Tanzania. The developed conceptual model was empirically tested using confirmatory factor analysis and hierarchical regression.

The results reveal that innovativeness, risk-taking, competitive aggressiveness and autonomy have a significant positive influence on EXP. However, proactiveness hurts EXP. Additionally, findings indicate that the dimensions of EO do not have an equal impact on SMEs’ EXP.

This study only covered SMEs; future studies would be advised to include large firms because they may behave differently with respect EO due to their resource advantages. Furthermore, this study was conducted in a single country, Tanzania, and thus the findings should be interpreted cautiously, since each country has specific institutional frameworks that foster entrepreneurship and entrepreneurial culture in a different way.

The context of this study contributes significantly to the research’s originality. The study contributes to the body of knowledge on the EO-EXP link in developing countries, where research on EO-export is scant, and it further contributes to the debate on the EO-EXP link by demonstrating that the dimensions of EO do not have an equal impact on SMEs’ EXP, and accordingly a disaggregated approach would be more meaningful. Furthermore, the study contributes with regards the role of competitive aggressiveness and autonomy in improving SMEs’ EXP, which has received little attention in previous studies.

The purpose of this paper is to settle the methodological debate on the decomposition of value added in gross exports, proposing a standard, exposing the drawbacks of the alternatives and quantifying the differences.

This paper systematizes the analytical framework and assesses and quantifies the various methodologies and its main differences.

The decomposition method of Borin and Mancini (2023), using a source-based approach and an exporting country perspective, should be considered as the standard for decomposing the value added in gross exports. This study finds that alternative approaches and perspectives are methodologically inferior, and that tailored perspectives do not provide an increase in accuracy that compensates their drawbacks.

This paper’s contribution is fourfold: it rejects the alleged equivalence between approaches and perspectives, defending the superiority of a particular method, approach and perspective; it gives quantitative examples of the differences between them; it proves that the drawbacks of tailored perspectives do not compensate their alleged accuracy (as they do not result in big quantitative differences with the standard perspective); and it argues that no valid standard decomposition can forego the calculation of value added exported, which requires the expression of exports in terms of final demand.