1. Introduction

Enhancing export capacity has become a strategic priority for emerging economies aiming to achieve sustainable growth, employment generation, and industrial diversification. Recent studies indicate that export performance depends not only on factor endowments but also on strategic interventions such as government policy support, technological advancement, access to finance, quality compliance, and integration into global markets [1,2]. In this context, traditional industries such as silk represent underutilized opportunities for export diversification in developing economies.

Bangladesh’s export structure remains highly concentrated in the ready-made garments sector, increasing vulnerability to external demand shocks and global market volatility [1]. With the country approaching graduation from Least Developed Country (LDC) status, the anticipated reduction in preferential market access further strengthens the need to develop alternative export-oriented sectors [2]. The silk industry, supported by its historical relevance and value-added potential, offers a promising avenue for broadening the national export base.

Government policy support plays a critical role in shaping export competitiveness in developing countries. Empirical evidence suggests that targeted export incentives, regulatory reforms, and institutional coordination significantly enhance firms’ export capabilities [2,5]. However, in Bangladesh, policy focus has traditionally prioritized large-scale garment exporters, resulting in limited strategic support for traditional sectors such as silk.

Technology adoption is another key determinant of export capacity. Firms that invest in modern production technologies tend to achieve higher productivity, improved quality consistency, and better compliance with international standards [3]. In the silk sector, technological upgrading is particularly important for improving yarn quality and meeting the stringent requirements of international buyers, yet adoption remains limited due to financial and institutional constraints.

Figure 1. Trends in Cocoon & Raw Silk Production in Bangladesh Over the Last Decade [9]

Above illustrates the fluctuating trend in cocoon and raw silk production in Bangladesh over the last decade, reflecting variations in input availability, technological adoption, and policy support. The pattern highlights structural challenges in sustaining consistent production growth, which directly influences the country’s capacity to expand silk exports.

Access to finance further influences export performance, as financially constrained firms are less likely to invest in technology, certification, and market expansion [8]. Studies show that export promotion programs combined with financial support mechanisms significantly improve export competitiveness and sustainability [8]. For small and medium-sized silk producers in Bangladesh, limited access to formal credit continues to restrict export readiness.

Quality certification and branding function as strategic tools for signaling reliability and compliance in international markets. Research demonstrates that firms holding internationally recognized certifications experience higher export volumes and improved market access compared to uncertified firms [4,7]. Given the premium positioning of silk products, certification and branding are particularly critical for enhancing competitiveness in global markets.

International market linkage, including participation in trade fairs, global value chains, and regional trade agreements, further strengthens export performance by diversifying destinations and reducing market dependency [6]. Despite its potential, Bangladesh’s silk sector remains weakly integrated into international networks, limiting its global visibility.

Figure 2. The Cumulative Export of Silk Fabric [10]

Above image presents the cumulative export performance of silk fabric, demonstrating a gradual but constrained growth trajectory. The figure underscores the gap between production potential and export realization, emphasizing the need for strategic interventions to strengthen market linkage, quality compliance, and export facilitation.

Despite growing literature on export performance in emerging economies, sector-specific empirical studies focusing on the silk industry remain limited. This study addresses this gap by developing and empirically testing a strategic framework linking government policy support, technology adoption, access to finance, quality certification and branding, and international market linkage to silk export capacity in Bangladesh.

2. Literature Review

Silk Production & Historical Context

Silk has been a highly valued textile fiber for centuries, with cultural, economic, and social significance across many countries [11]. Historical analyses of sericulture indicate that traditional practices have gradually adapted to meet modern market demands, laying the foundation for the global silk trade [12]. The global silk industry has also been shaped by production trends, export-import patterns, and the dominant roles of major producers such as China and India [14]. Studies on China’s silk exports demonstrate how competitiveness and market structure influence trade growth, particularly during global disruptions such as pandemics [15].

Sericulture & Rural Economic Potential

Sericulture provides critical livelihood opportunities in rural areas, offering alternative income and enhancing community development [11–13]. Evidence from Bangladesh highlights that while sericulture can empower rural households and women, it faces challenges including high production costs, low technological adoption, and limited profitability [16–18]. Socioeconomic analyses indicate that rural income diversification and women’s empowerment through silk production contribute to local development and social sustainability [13,18].

The Silk Value Chain

Value chain studies emphasize the importance of a holistic understanding of sericulture from mulberry cultivation and silkworm rearing to reeling, weaving, and marketing [19,20]. Comparative analyses in regions like Nepal and Thailand highlight the critical role of linkages between producers, processors, and exporters in enhancing productivity and competitiveness [19–21]. Efficient value chain integration is essential for upgrading the industry and improving export readiness.

Figure 3. Integrated Silk Value Chain and Export Pathway [29]

This diagram illustrates the complete journey of silk production, starting from sericulture farms and cocoon harvesting, through reeling, spinning, weaving, and finishing processes, to the manufacturing of finished silk garments. Each stage adds value, ensuring quality enhancement and market readiness, highlighting the interconnected roles of stakeholders in the silk industry.

Strategic Frameworks & Sustainability

Developing economies aiming to boost silk exports require strategic interventions. Trade competitiveness studies suggest that understanding structural strengths and weaknesses informs export-oriented policies [22]. Sustainability research emphasizes integrating circular economy practices and technological innovations, including nanotechnology, to improve production efficiency and environmental outcomes [23,24]. Combining innovation with traditional production enhances market appeal and global competitiveness.

Bangladesh Sericulture: Status & Barriers

Bangladesh’s sericulture sector faces declining production and increasing dependency on imports, limiting its potential in the global market [16–18]. Institutional support from the Bangladesh Sericulture Development Board and the Bangladesh Sericulture Research and Training Institute is crucial for research, cultivar development, and knowledge dissemination [25,26]. However, studies suggest the need for better infrastructure, policy coordination, and capacity-building programs to increase productivity and export potential [17,18]. Local success stories, including NGO-supported integrated value chains, demonstrate the potential for socio-economic improvements through sericulture [18].

Figure 4. The Total Amount of Exported Silk Fabric [10]

The data chart indicates that silk exports were minimal in 2011–12, amounting to only USD 0.10 million. However, exports rose sharply in the following year, reaching USD 14.52 million—the highest level recorded to date. Subsequently, export performance declined due to factors such as export duties, increasing international competition, and limited sectoral awareness. Despite this downturn, signs of recovery are evident, as silk fabric exports generated USD 4.43 million. Currently, most locally produced silk is consumed within the domestic market and is not extensively exported. With improvements in product quality and value addition, the export potential of silk products could be significantly enhanced. Therefore, the long-term prospects and sustainability of the sericulture industry remain strong [31].

Global Silk Trade & Export Strategies

Global trade studies reveal that moving up the value chain—from raw silk to high-value finished textiles—is vital for developing economies to compete internationally [27]. Export promotion programs in other manufacturing sectors indicate that targeted interventions can significantly enhance export performance when tailored to specific market conditions [28].

For Bangladesh, adopting such strategic frame works, combined with technology transfer and market intelligence, could increase global competitiveness in silk exports.

This illustration presents the global silk market size and growth trajectory from 2019 to 2032, highlighting a projected compound annual growth rate (CAGR) of 7.6%. It also illustrates regional market shares and key application segments, emphasizing expanding export opportunities and increasing demand for silk in textile, medical, and cosmetic industries.

Figure 5. Global Silk Market Trends & Export Growth Outlook [30]

Literature Gap

Despite the wealth of studies on global silk production, value chains, and export strategies, there is limited research specifically linking Bangladesh’s cocoon-to-export journey with strategic frameworks for enhancing export potential. Most studies focus on either production challenges or rural socio-economic benefits [16–18] but do not provide an integrated view that connects production, value addition, technology adoption, and export strategies in the context of Bangladesh. Furthermore, while global case studies provide models for competitive value chain development [19–22], there is a lack of empirical research evaluating their applicability in Bangladesh’s unique socio-economic and institutional environment.

This study is essential because it aims to fill the gap by providing a comprehensive framework that links cocoon production to global silk market participation, tailored for Bangladesh. It integrates production challenges, technological innovations, value chain dynamics, and strategic export planning, enabling policymakers, industry stakeholders, and entrepreneurs to identify actionable strategies to enhance export performance.

The article should be written in English. An article should be between 6 and 25 pages, and exceed 2000 words. For original research articles, it should include the headings Introduction, Materials and Methods, Results, Discussion and Conclusions. Other types of articles can be written with a more flexible structure.

3. Methodology

3.1. Research Design

This study adopts a quantitative, descriptive, hypothesis-driven research design to examine the strategic determinants of silk export capacity in a developing economy, with Bangladesh as the case study. The design is appropriate for identifying statistically significant relationships between strategic interventions and export performance using measurable indicators.

The research follows a cross-sectional survey approach, collecting primary data at a single point in time from relevant stakeholders in the silk export ecosystem.

3.2. Conceptual Framework

The study is grounded in a strategic export performance framework where multiple institutional, technological, and market-related factors influence silk export capacity.

Independent Variables:

• Government policy support

• Technology adoption in silk production

• Access to finance

• Quality certification and branding

• International market linkage

Dependent Variable:

• Silk export capacity/performance

The framework assumes that improvements in strategic interventions positively influence export outcomes.

3.3. Hypotheses Development

General Hypothesis

• H₀: Strategic interventions have no significant effect on silk export capacity in developing economies.

• H₁: Strategic interventions have a significant positive effect on silk export capacity in developing economies.

Specific Hypotheses

• H1: Government policy support has a significant positive impact on silk export capacity.

• H2: Technology adoption in silk production significantly enhances silk export capacity.

• H3: Access to finance has a significant positive effect on silk export capacity.

• H4: Quality certification and branding significantly improve silk export capacity.

• H5: International market linkage has a significant positive influence on silk export capacity.

3.4. Population and Sample

Target Population

The population includes stakeholders directly involved in or influencing the silk export sector in Bangladesh:

• Silk producers and exporters

• Government policy officials (textiles, commerce, agriculture)

• Trade officers

• Industry association members (e.g., silk or textile associations)

Sample Size and Sampling Technique

A purposive and stratified sampling technique will be employed to ensure representation from all stakeholder categories.

• Expected sample size: 50 respondents, which is statistically adequate for regression and ANOVA analysis.

• Each subgroup will be proportionally represented to minimize sampling bias.

3.5. Data Collection Instrument

3.5.1. Questionnaire Design

Primary data will be collected using a structured questionnaire based on a 5-point Likert scale:

1 = Strongly Disagree

2 = Disagree

3 = Neutral

4 = Agree

5 = Strongly Agree

Each construct (independent and dependent variables) will be measured using multiple items adapted from export performance and strategic management literature, modified to fit the silk industry context.

Table 1. Measurement of Variables

3.5.2. Collection of Data

In this research, mainly primary sources are used to collect information. Responses were collected by hard copy of the questionnaire and with the help of Google form.

3.6. Reliability and Validity

Reliability Test

• Cronbach’s Alpha will be used to assess internal consistency.

• A value of α ≥ 0.70 will be considered acceptable.

3.7. Data Analysis Techniques

Data will be analyzed using SPSS following these steps:

1. Descriptive Statistics

o Frequency, mean, and standard deviation to profile respondents and variables.

2. Correlation Analysis

o To examine the strength and direction of relationships between variables.

3. Regression Analysis

Multiple linear regression to test the impact of independent variables on silk export capacity.

Model specification:

[SEP = β₀ + β₁GPS + β₂TA + β₃AF + β₄QCB + β₅IML + ε]

4. ANOVA

o To compare export performance across different respondent groups, where applicable.

5. Cronbach’s Alpha Test

it is a reliability test used to measure the internal consistency of a questionnaire or scale—that is, how closely related a set of items are as a group.

3.8. Ethical Considerations

• Participation will be voluntary.

• Respondents’ identities will remain anonymous.

• Data will be used solely for academic purposes.

3.9. Methodological Justification

The selected quantitative methodology allows for objective measurement, hypothesis testing, and generalization within the silk export sector. The approach ensures statistical rigor while remaining feasible within time and resource constraints.

Table 2

4. Data Processing & Results

This section presents the results of the regression analyses conducted to examine the effects of strategic interventions on silk export capacity. Silk export capacity is treated as the dependent variable. Simple linear regression models were first estimated for each independent variable, followed by a multiple regression model including all predictors simultaneously.

4.1. Hypothesis Testing

Figure 6. Effect of Government Policy Support on Silk Export Capacity (H1) [32]

Figure 6 presents the simple linear regression results examining the effect of government policy support on silk export capacity. The regression model is statistically significant (F = 6.41, p = 0.015). Government policy support has a statistically significant positive effect on silk export capacity (β = 0.34, t = 2.53, p = 0.015).

Therefore, H1 is accepted.

Figure 7. Effect of Technology Adoption on Silk Export Capacity (H2) [32]

Figure 7 reports the regression results for technology adoption. The model is statistically significant (F = 10.10, p = 0.003). Technology adoption shows a statistically significant positive effect on silk export capacity (β = 0.42, t = 3.18, p = 0.003).

Hence, H2 is accepted.

Figure 8. Effect of Access to Finance on Silk Export Capacity (H3) [32]

Figure 8 shows the results of the regression analysis assessing the effect of access to finance. The regression model is statistically significant (F = 11.89, p = 0.001). Access to finance has a statistically significant positive effect on silk export capacity (β = 0.45, t = 3.45, p = 0.001).

Accordingly, H3 is accepted.

Figure 9. Effect of Certification and Branding on Silk Export Capacity (H4) [32]

Figure 9 presents the regression results for certification and branding. The regression model is statistically significant (F = 5.71, p = 0.021). Certification and branding exhibit a statistically significant negative effect on silk export capacity (β = −0.33, t = −2.39, p = 0.021). Since the hypothesized effect was positive, H4 is rejected.

Figure 10. Effect of International Market Linkage on Silk Export Capacity (H5) [32]

Figure 10 displays the regression results for international market linkage. The model is statistically significant (F = 4.86, p = 0.032). International market linkage has a statistically significant positive effect on silk export capacity (β = 0.30, t = 2.20, p = 0.032). Therefore, H5 is accepted.

Figure 11. Effect of Combined Effect of Strategic Interventions on Silk Export Capacity (General Hypothesis) [32]

Figure 11 presents the multiple regression results examining the combined effects of government policy support, technology adoption, access to finance, certification and branding, and market linkage on silk export capacity. The overall model is statistically significant (F = 4.04, p = 0.004), explaining 31% of the variance in silk export capacity (R² = 0.31).

Thus, the Null Hypothesis (H₀) is rejected and the Alternative Hypothesis (H₁) is accepted, confirming that strategic interventions have a significant effect on silk export capacity.

4.2. Reliability Testing

Figure 12. Internal Consistency of Variables Related to Silk Export Performance [32]

The reliability analysis revealed a Cronbach’s Alpha value of 0.71 for the six-item scale, indicating acceptable internal consistency. Therefore, the measurement instrument is considered reliable and suitable for further statistical analysis.

5. Discussion

This study examined the impact of strategic interventions on silk export capacity in developing economies. The results indicate mixed effects, reflecting the complex and context-dependent nature of export performance. Government policy support shows a positive association with export capacity, suggesting its role as an enabling institutional factor, although its statistical significance varies across models. Technology adoption and access to finance show positive but insignificant effects, suggesting that these interventions require complementary institutional and capability-building measures to yield measurable export gains.

Certification and branding exhibit a statistically significant negative relationship with silk export capacity, highlighting the burden of compliance costs and administrative requirements on exporters in developing economies. This finding suggests that, without adequate support mechanisms, quality and branding standards may constrain rather than enhance export performance. International market linkage shows a positive but insignificant association, implying that market access alone is insufficient without stronger integration into global value chains.

Table 3. Summary of Hypothesis Testing Results

Research Limitation

This study is subject to certain limitations. The sample size is relatively small due to the limited number of active stakeholders in the silk production and export sector in Bangladesh and the difficulty of accessing respondents during the data collection period. Therefore, the findings should be interpreted with caution and may have limited generalize ability. Future studies may include larger samples and broader industry coverage to further validate the results.

6. Conclusions

The findings suggest that strategic interventions influence silk export capacity in differentiated and non-linear ways. While not all interventions yield statistically significant effects, their directional influence underscores their strategic importance. Government policy support emerges as a key enabling factor, whereas certification and branding pose short-term constraints in the absence of supportive frameworks. Overall, the study highlights the need for coordinated, context-specific export strategies to enhance the long-term competitiveness of the silk sector in developing economies.

ACKNOWLEDGEMENTS

The authors would like to thank all respondents and industry stakeholders who provided valuable information and insights that contributed to this study.

Data Availability Statement

The data is available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix

Figure 1. Standard Regression Coefficients

Figure 2. Reliably of Study Constructs