From Theory to Practice: ESG as a Management Tool for Sustainable Manufacturing—Empirical Evidence from Bulgaria
Abstract
1. Introduction
2. Literature Review
2.1. ESG as a Framework for Better Corporate Sustainability and Performance
2.2. ESG Integration and Sustainable Manufacturing
2.3. Research Gap and New ESG Empirical Approach in Manufacturing Context
2.4. Research Questions and Hypotheses
- RQ1: To what extent are ESG principles integrated into the Bulgarian manufacturing companies?
- RQ2: To what extent have sustainable production practices been implemented?
- RQ3: Is there a relationship between ESG integration and sustainable production practices?
3. Materials and Methods
3.1. Questionnaire Development and Measurement
3.2. Selection Procedure and Sample Size
3.3. Measurement of Construct Elements and Development of Indexes
3.4. Analytical Strategy and Statistical Procedures
4. Results
4.1. Sample Profile
4.2. Extent of ESG Integration
4.3. Implementation of Sustainable Production Practices
4.4. Differences by Company Size in ESG Integration and Sustainable Production Practices
4.5. Challenges and Opportunities in ESG Integration
4.6. Reliability of the Scales
4.6.1. Theoretical Rationale for Aggregated Index Construction
4.6.2. Common-Method Bias Risk
4.7. Overall Assessment of the Indexes
5. Discussion
Limitations of the Study
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Survey Instrument and Measurement
| Aggregate Index | Indicator/Survey Statement | Scale |
|---|---|---|
| ESG Integration | The company has integrated ESG policies. | 1–5 |
| Senior management is committed to ESG integration. | 1–5 | |
| The company has clearly defined ESG responsibilities. | 1–5 | |
| The company has established specific ESG goals and priorities. | 1–5 | |
| There are internal procedures in place to monitor ESG practices. | 1–5 | |
| Mechanisms for stakeholder engagement are maintained. | 1–5 | |
| ESG/non-financial reporting is a common practice. | 1–5 | |
| Social policies are implemented in human resources management. | 1–5 | |
| Sustainable Production Practices | Energy efficiency measures are being implemented. | 1–5 |
| Measures are being implemented to reduce waste. | 1–5 | |
| Resource optimization practices are implemented. | 1–5 | |
| Emissions control measures are being implemented. | 1–5 | |
| Circular economy practices are implemented. | 1–5 | |
| Clean technologies are being implemented. | 1–5 | |
| Healthy and safe working conditions are ensured. | 1–5 | |
| Staff training is being conducted on topics related to sustainability. | 1–5 | |
| Sustainability requirements apply to suppliers. | 1–5 | |
| Challenges | The lack of financial resources hinders ESG integration. | 1–5 |
| A lack of expertise hinders ESG integration. | 1–5 | |
| Limited administrative capacity hinders ESG integration. | 1–5 | |
| A lack of regulatory clarity hinders ESG integration. | 1–5 | |
| Low internal motivation hinders ESG integration. | 1–5 | |
| Limited market pressure makes ESG integration difficult. | 1–5 | |
| Opportunities | ESG integration improves compliance with regulatory requirements. | 1–5 |
| ESG integration is associated with a better image and reputation. | 1–5 | |
| ESG integration is associated with increased efficiency. | 1–5 | |
| ESG integration is linked to access to new markets and partners. | 1–5 | |
| ESG integration is linked to improved relationships with stakeholders. | 1–5 | |
| ESG integration is linked to risk reduction. | 1–5 |
Appendix B. Additional Statistical Tests of Group Differences and the Main ESG–SPP Relationship
| Additional Test | Purpose of the Analysis | Interpretation |
|---|---|---|
| One-Way Analysis of Variance | It examines whether the differences between small, medium, and large enterprises are statistically significant. | Supports a more precise interpretation of differences in size without making causal assumptions. |
| Simple Linear Regression Model | It assesses the statistical relationship between the ESG integration index and the sustainable production practices index. | Complements correlation analysis and limits the conclusion to a relationship within the study sample. |
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| Construct Element/Indexes | Number of Indicators | Key Measurements | Aggregation Method | Methodological Function |
|---|---|---|---|---|
| ESG Integration Index | 8 | ESG Policies; Senior Management Commitment; ESG Responsibilities; ESG Goals; Internal Procedures; Stakeholder Engagement; ESG/non-financial Reporting; Social HR Policies | Arithmetic mean of the indicators | Measures the extent of internal management integration of ESG |
| Sustainable Manufacturing Practices Index | 9 | Energy efficiency; Waste Reduction; Resource Optimization; Emissions Control; Circular Practices; Clean Technologies; Healthy and Safe Working Conditions; Training; Supplier Requirements | Arithmetic mean of the indicators | Measures the extent to which sustainable production practices have been implemented |
| Challenges Index | 6 | Financial Resources; Expertise; Administrative Capacity; Regulatory Clarity; Internal Motivation; Market Pressure | Arithmetic mean of the indicators | Measures perceived barriers to ESG integration |
| Opportunities Index | 6 | Regulatory Compliance; Reputation; Efficiency; Market Access; Stakeholder Relations; Risk Mitigation | Arithmetic mean of the indicators | Measures the perceived benefits and opportunities of ESG integration |
| Indicator | Category | Number | % |
|---|---|---|---|
| Company size | Small | 45 | 30.0% |
| Medium | 60 | 40.0% | |
| Large | 45 | 30.0% | |
| Geographical location | Sofia City | 48 | 32.0% |
| Plovdiv | 30 | 20.0% | |
| Varna | 24 | 16.0% | |
| Burgas | 21 | 14.0% | |
| Other regions in the country | 27 | 18.0% | |
| Business activity | Food and beverage industry | 30 | 20.0% |
| Machinery and equipment | 27 | 18.0% | |
| Metal products | 24 | 16.0% | |
| Chemical and pharmaceutical industry | 21 | 14.0% | |
| Textiles and clothing | 18 | 12.0% | |
| Woodworking and furniture | 15 | 10.0% | |
| Plastics and rubber | 15 | 10.0% | |
| Export activity | Yes | 87 | 58.0% |
| No | 63 | 42.0% | |
| ESG/non-financial reporting | Yes | 54 | 36.0% |
| No | 96 | 64.0% |
| Indicator | Average Value | Standard Deviation | Interpretation |
|---|---|---|---|
| The company has integrated ESG policies | 3.24 | 1.18 | Moderate level |
| Senior management is committed to ESG integration | 3.92 | 0.96 | High level |
| There are clearly defined ESG responsibilities | 3.38 | 1.07 | Moderate level |
| Specific ESG goals and priorities are in place | 3.46 | 1.02 | High level |
| Internal procedures are in place to monitor ESG practices | 3.18 | 1.11 | Moderate level |
| The company maintains mechanisms for stakeholder engagement | 3.52 | 0.94 | High level |
| There is a practice of ESG/non-financial reporting | 3.06 | 1.20 | Moderate level |
| The company implements social policies for human resources | 4.02 | 0.88 | High level |
| Overall ESG integration index | 3.47 | 0.79 | High level |
| Indicator | Average Value | Standard Deviation | Interpretation |
|---|---|---|---|
| Energy efficiency measures are implemented | 4.08 | 0.81 | High level |
| Waste reduction measures are implemented | 3.94 | 0.89 | High level |
| Resource optimization practices are implemented | 3.88 | 0.86 | High level |
| Emissions control measures are implemented | 3.26 | 1.10 | Moderate level |
| Circular economy practices are implemented | 2.98 | 1.14 | Moderate level |
| Clean technologies are implemented | 3.12 | 1.09 | Moderate level |
| Workplace health and safety are ensured | 4.22 | 0.73 | Very high level |
| Staff training is conducted | 3.74 | 0.97 | High level |
| Sustainability requirements are applied to suppliers | 3.16 | 1.05 | Moderate level |
| Overall index of sustainable production practices | 3.58 | 0.74 | High level |
| Category | Comparison Indicator | Types of Companies | Maximum Mean Difference | ||
|---|---|---|---|---|---|
| Small | Medium | Large | |||
| ESG Integration | ESG Policies | 2.67 | 3.35 | 3.79 | 1.12 |
| Senior Management Commitment | 3.54 | 3.95 | 4.28 | 0.74 | |
| ESG Reporting | 2.48 | 3.10 | 3.60 | 1.12 | |
| Internal Procedures | 2.73 | 3.22 | 3.58 | 0.85 | |
| Overall ESG Integration Index | 3.01 | 3.46 | 3.91 | 0.90 | |
| Sustainable manufacturing practices | Energy Efficiency | 3.72 | 4.11 | 4.38 | 0.66 |
| Waste Reduction | 3.61 | 4.02 | 4.21 | 0.60 | |
| Emissions Control | 2.88 | 3.24 | 3.70 | 0.82 | |
| Circular Practices | 2.41 | 3.01 | 3.46 | 1.05 | |
| Clean Technologies | 2.58 | 3.18 | 3.70 | 1.12 | |
| Overall Sustainable Manufacturing Practices Index | 3.19 | 3.58 | 3.98 | 0.79 | |
| Indicator | Average Value (M) | F (2, 147) | p | η2 | Interpretation | ||
|---|---|---|---|---|---|---|---|
| Small Companies | Medium Companies | Large Companies | |||||
| ESG Policies | 2.67 | 3.35 | 3.79 | 11.82 | <0.001 | 0.139 | significant effect |
| Senior Management Commitment | 3.54 | 3.95 | 4.28 | 7.28 | 0.001 | 0.090 | moderate effect |
| ESG/Non-Financial Reporting | 2.48 | 3.10 | 3.60 | 11.19 | <0.001 | 0.132 | moderate to significant effect |
| Internal Procedures | 2.73 | 3.22 | 3.58 | 7.21 | 0.001 | 0.089 | moderate effect |
| Overall ESG Integration Index | 3.01 | 3.46 | 3.91 | 17.92 | <0.001 | 0.196 | significant effect |
| Energy Efficiency | 3.72 | 4.11 | 4.38 | 8.31 | <0.001 | 0.102 | moderate effect |
| Waste Reduction | 3.61 | 4.02 | 4.21 | 5.73 | 0.004 | 0.072 | moderate effect |
| Emissions Control | 2.88 | 3.24 | 3.70 | 6.78 | 0.002 | 0.084 | moderate effect |
| Circular Practices | 2.41 | 3.01 | 3.46 | 10.90 | <0.001 | 0.129 | moderate to significant effect |
| Clean Technologies | 2.58 | 3.18 | 3.70 | 13.97 | <0.001 | 0.160 | significant effect |
| Overall Index of Sustainable Production Practices | 3.19 | 3.58 | 3.98 | 15.28 | <0.001 | 0.172 | significant effect |
| Category | Factor | Average Value | Interpretation | Rank |
|---|---|---|---|---|
| Challenges | Lack of financial resources | 4.18 | High level | 1 |
| Lack of expertise | 3.96 | High level | 2 | |
| Limited administrative capacity | 3.74 | High level | 3 | |
| Insufficient regulatory clarity | 3.22 | Moderate level | 4 | |
| Low internal motivation | 2.88 | Moderate level | 5 | |
| Limited market pressure | 2.74 | Moderate level | 6 | |
| Overall challenge index | 3.45 | High level | - | |
| Opportunities | Better compliance with regulatory requirements | 4.12 | High level | 1 |
| Improved image and reputation | 4.06 | High level | 2 | |
| Increased efficiency | 3.98 | High level | 3 | |
| Access to new markets and partners | 3.84 | High level | 4 | |
| Improved stakeholder relations | 3.76 | High level | 5 | |
| Reduced risk | 3.68 | High level | 6 | |
| Overall Opportunity Index | 3.91 | High level | - |
| Scale | Number of Indicators | α | Interpretation |
|---|---|---|---|
| ESG Integration | 8 | 0.87 | Very good reliability |
| Sustainable Production Practices | 9 | 0.84 | Very good reliability |
| Challenges to ESG Integration | 6 | 0.79 | Good reliability |
| Potential Opportunities | 6 | 0.82 | Very good reliability |
| Indicator | ESG Integration | Sustainable Manufacturing Practices |
|---|---|---|
| ESG Integration | 1.000 | 0.58 ** |
| Sustainable Manufacturing Practices | 0.58 ** | 1.000 |
| Variable | Non-Standardized Coefficient | Standard Error | Standardized Coefficient | t-Statistics | p-Value |
|---|---|---|---|---|---|
| Constant | 1.695 | 0.223 | - | 7.59 | <0.001 |
| ESG Integration Index | 0.543 | 0.063 | 0.580 | 8.66 | <0.001 |
| Index | Range of Possible Values | Actual Average |
|---|---|---|
| ESG Integration | 1.00–5.00 | 3.47 |
| Sustainable Manufacturing Practices | 1.00–5.00 | 3.58 |
| Challenges | 1.00–5.00 | 3.45 |
| Opportunities | 1.00–5.00 | 3.91 |
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Luchkov, K.; Daskalova-Karakasheva, M. From Theory to Practice: ESG as a Management Tool for Sustainable Manufacturing—Empirical Evidence from Bulgaria. Sustainability 2026, 18, 7103. https://doi.org/10.3390/su18147103
Luchkov K, Daskalova-Karakasheva M. From Theory to Practice: ESG as a Management Tool for Sustainable Manufacturing—Empirical Evidence from Bulgaria. Sustainability. 2026; 18(14):7103. https://doi.org/10.3390/su18147103
Chicago/Turabian StyleLuchkov, Kiril, and Mina Daskalova-Karakasheva. 2026. "From Theory to Practice: ESG as a Management Tool for Sustainable Manufacturing—Empirical Evidence from Bulgaria" Sustainability 18, no. 14: 7103. https://doi.org/10.3390/su18147103
APA StyleLuchkov, K., & Daskalova-Karakasheva, M. (2026). From Theory to Practice: ESG as a Management Tool for Sustainable Manufacturing—Empirical Evidence from Bulgaria. Sustainability, 18(14), 7103. https://doi.org/10.3390/su18147103

