Export Barriers for SMEs from Emerging Market: A Model of Analysis for Non-Tech Companies

Morini, Cristiano; Pólis, Mário César Barreto; Silva, Dirceu da; Júnior, Edmundo Inácio

doi:10.1590/1807-7692bar2021200121

Cited by 4 publications

(5 citation statements)

References 68 publications

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“…Using the study of Leonidou (2004) The method that was used was to study 71 firms that are non-tech companies in emerging markets by using questionnaire, where the results are then analyzed using Confirmatory Factor Analysis (CFA). The results of the study was the main barriers related to external is the governmental and sociocultural barriers meanwhile main barriers related to internal are market barriers and the manager's personal dimensions [9].…”

Section: Literature Reviewmentioning

confidence: 95%

“…Another study was conducted by Morini et al (2021) where they study the barriers affecting the export process of small and medium-sized non-tech companies in emerging markets. Using the study of Leonidou (2004) The method that was used was to study 71 firms that are non-tech companies in emerging markets by using questionnaire, where the results are then analyzed using Confirmatory Factor Analysis (CFA).…”

Section: Literature Reviewmentioning

confidence: 99%

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A Study of Export Barrier in Garut Leather Tannery Industry

Permatasari¹,

Dellyana²

2023

ijcsrr

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The economic development of a country currently cannot be separated from the condition of global economy. Economic relations between country is an influencing factor for the development of both country involved. Therefore, export activity of an industry is very important for the development of a country’s economy. Based on data obtained through the Ministry of Trade of the Republic of Indonesia, export distribution in the form of footwear is 86%, leather finished goods are 13%, and leather is 1%. According to these data, it can be seen that the contribution of the leather tanning industry which is included in Leather Goods is very small in the total export distribution of leather. Meanwhile, by carrying out export activities, the leather industry will benefitted because it will open access to new customers who will have the potential to increase revenue and long-term growth. The data for this research was collected through 52 factory owners in this industry. After the data has been collected, an exploratory factor analysis was conducted to see how many factors become the barrier of exporting in Garut leather tannery industry. The result of this research is there are three factors that become the barrier to do export in Garut leather tannery industry, namely functional, international and governmental barriers. Meanwhile the result of descriptive analysis shows that Garut leather tannery industry perceive high cost of capital to finance exports, difficulties in organizing promotional activities abroad, and lack of financial resources to conduct market research in overseas markets as the barrier to do export activities. The findings suggest that the government should support both the knowledge and infrastructure regarding export for all the business owners in Garut leather tannery industry, meanwhile the business owners should also be active in searching for business opportunities in international market. For future studies, it was suggested to consider management’s entrepreneurship capabilities as a factor that can hinder exports.

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Section: Literature Reviewmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

A Study of Export Barrier in Garut Leather Tannery Industry

Permatasari¹,

Dellyana²

2023

ijcsrr

View full text Add to dashboard Cite

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“…Governmental barriers including tax-related (tariffs etc.) legislative rules (regulations, legal procedures) and socio-cultural barriers (cultural-linguistic differences) have been more intensively perceived as external barriers by SMEs (Morini, Mario Cesar, da Silva, Edmundo, 2021). Their lack of knowledge regarding foreign markets, lack of financial power and opaque structure are the main reasons for this issue (Malca, Peña-Vinces, Acedo, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Their lack of knowledge regarding foreign markets, lack of financial power and opaque structure are the main reasons for this issue (Malca, Peña-Vinces, Acedo, 2020). However, country-specific characteristics such as the quality of institutions, corruption level (Pietrovito, Pozzolo, 2021), economic conditions and export procedures (Morini et al, 2021) can also cause SMEs to perceive export obstacles in various extents. Thus, internationalization levels between developing and developed countries differ (Chandra, Paul, Chavan, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

International Differences in the Perceptions of Export Obstacles By SMEs in the Same Firm-Level Characteristics: Evidence from European Countries

Civelek

Polách

Švihlíková

et al. 2022

Folia Oeconomica Stetinensia

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Research background: Most of SMEs encounter many impediments when performing direct exporting activities. This is because various countries have different legislative and tax burdens and cultural-linguistic diversities that create export barriers for SMEs from other countries. Even SMEs that are the same size, age, from the same sector or legal form, their perceptions of export obstacles might differ depending on countries where they are located. Purpose: This research investigates the differences between the export obstacle perceptions of SMEs from different countries but with the same firm-level characteristics Research methodology: To achieve this aim, the researchers apply a random sampling method to determine the research sample. Moreover, the researchers created an online questionnaire to gather the research data. Finally, 408 SMEs from the Czech Republic, Slovakia and Hungary have been analyzed by performing a Kruskal-Wallis analyses with the Dunnett T3 Post Hoc Test to achieve the aims of the research. Results: The empirical results express the differences and the similarities between the perceptions of export obstacles by SMEs. While the perceptions of Czech-Hungarian and Slovak-Hungarian SMEs do not differ in any same firm-level characteristics, the differences exist between Czech and Slovak SMEs that are smaller in size, older and, that have limited liability and sector categories. Compare with their Czech counterparts in these categories, Slovak SMEs perceive export obstacles less intensively. The approaches of a government on SMEs and investment freedom in a nation and the exporting patterns of SMEs might be the reasons for these similarities and differences among SMEs in various countries which are in the same age, size, sector and legal form categories. Novelty: The significant results that this research proves in same firm-level characteristics and an international context makes this paper unique research in the literature. Therefore, policy makers, academicians, SMEs, and financing institutions might gain many benefits from the findings of this study.

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“…According to the Department of Business Economics, the Ministry of Commerce and the Royal Thai Government, agricultural exports to Asian nations increased by 25.19% from 2005 to the year 2020, totaling 119,222,250,000 THB. Over Morini et al [8] investigated the relationship between internal and external hurdles in this context and identified the barriers affecting the export of small and medium-sized nontech enterprises in emerging countries. They discovered that the main factors impeding SME development in the import-export market were a lack of knowledge and scarce resources.…”

Section: Introductionmentioning

confidence: 99%

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

et al. 2022

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In recent years, agriculture products have contributed to 28.75% of Thailand’s GDP. China, Vietnam, Myanmar, Cambodia, Laos and Vietnam are the main markets for agricultural products. The annual export volume exceeds 119,222 million THB. The majority of them are shipped over Thailand’s land borders to its neighbors. Small and medium-sized farmers make up more than 85% of those who produce agricultural items. Numerous scholars have studied the transportation methods used by the Greater Mekong Subregion (GMS) nations along the economic corridor, but the majority of them have concentrated on import–export operations involving sizable firms, which are not applicable to the transportation of agricultural products, particularly when attention is paid to small and medium-sized farmers. In this study, mixed-integer programming (MIP) is presented to design an agricultural product logistics network. In order to prolong the lifespan of the container used, the MIP’s primary goal is to maximize the total chain profit while maintaining the lowest container usage possible. The approach was developed to increase small and medium-sized farmers’ ability to compete. Small and medium-sized farmers bring their products to an agricultural product collecting center, also known as a container loading facility. After that, skilled logistics companies distribute the goods. In order to convey the goods to the final clients in neighboring nations, the proper locations of the containing loading centers, the correct transportation option and the borders must be decided. The issue was identified as multi-echelon location–allocation sizing (MELLS), an NP-hard problem that cannot be handled in an efficient manner. To solve a real-world problem, however, efficient techniques must be supplied. AMIS, an artificial multiple intelligence system, was created to address the suggested issue. AMIS was developed with the goal of leveraging a variety of methods for local search and development. There are several well-known heuristics techniques employed in the literature, including the genetic algorithm (GA) and the differential evolution algorithm (DE). With respect to the improved solutions obtained, the computational results show that AMIS exceeds the present heuristics, outperforming DE and GA by 9.34% and 10.95%, respectively. Additionally, the system’s farmers made a total of 15,236,832 THB in profit, with an average profit per container of 317,434 THB and an average profit per farmer of 92,344.44 THB per crop. The container loading center uses 48 containers, with a 5.33 container average per container loading center (CLC). The farmers’ annual revenues were previously less than 88,402 THB per family per year, so we can predict that the new network may increase customers’ annual income by 4.459% for each crop.

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Export Barriers for SMEs from Emerging Market: A Model of Analysis for Non-Tech Companies

Cited by 4 publications

References 68 publications

A Study of Export Barrier in Garut Leather Tannery Industry

A Study of Export Barrier in Garut Leather Tannery Industry

International Differences in the Perceptions of Export Obstacles By SMEs in the Same Firm-Level Characteristics: Evidence from European Countries

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

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