Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance
Abstract
:1. Introduction
- (1)
- What are the effects of coercive, normative, and mimetic pressure on cleaner production in the Bangladeshi textile manufacturing industry?
- (2)
- What is cleaner production’s mediating role in the relationship between institutional pressures and environmental performance?
- (3)
- How does environmental performance mediate the relationship between cleaner production and economic performance?
2. Literature Review
2.1. Institutional Pressure
2.2. Cleaner Production
2.3. Sustainable Firm Performance
3. Research Framework and Hypothesis Development
3.1. Research Framework
3.2. Hypothesis Development
3.2.1. Coercive Pressure and Cleaner Production
3.2.2. Normative Pressure and Cleaner Production
3.2.3. Mimetic Pressure and Cleaner Production
3.2.4. Coercive Pressure and Environmental Performance
3.2.5. Mimetic Pressure and Environmental Performance
3.2.6. Cleaner Production and Environmental Performance
3.2.7. Environmental Performance and Economic Performance
3.2.8. The Role of Cleaner Production in Mediating Institutional Pressures and Environmental Performance
3.2.9. The Mediation Effect of Environmental Performance between Cleaner Productions and Economic Performances
3.2.10. Control Variable
4. Research Methodology and Data Analysis
4.1. Questionnaire Design and Variable Measurement
4.2. Sample and Data Collection
4.3. Data Analysis Procedure
4.4. Measurement Model
5. Results and Findings
5.1. Structural Model and Hypothesis Testing
5.2. Test for Mediation Effect
6. Discussion and Implications
6.1. Discussion
6.2. Theoretical Implications
6.3. Managerial Implications
6.4. Limitations and Future Research Directions
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Category | Frequency (N) | Percentage (%) |
---|---|---|
Sex | ||
Male | 220 | 89.4 |
Female | 26 | 10.6 |
Education | ||
Undergraduate | 33 | 13.4 |
Graduate | 145 | 58.9 |
Postgraduate | 66 | 26.8 |
Doctorate | 2 | 0.8 |
Work experience | ||
Less than five years | 31 | 12.6 |
5–10 years | 48 | 19.5 |
11–15 years | 137 | 55.7 |
16–20 years | 28 | 11.4 |
More than 20 years | 2 | 0.8 |
Position | ||
Executive officer | 80 | 32.5 |
Senior executive officer | 27 | 11 |
Assistant manager | 93 | 37.8 |
Senior manager/Manager | 26 | 10.6 |
General manager/DGM | 12 | 4.9 |
Managing director/Director/CEO | 8 | 3.3 |
Company type | ||
Yarn manufacturing | 10 | 4.1 |
Fabric manufacturing | 29 | 11.8 |
Garments manufacturing | 102 | 41.5 |
Dyeing industry | 73 | 29.7 |
Printing industry | 7 | 2.8 |
Washing industry | 7 | 2.8 |
Home textiles | 2 | 0.8 |
Sweater manufacturing | 6 | 2.4 |
Accessories industry | 6 | 2.4 |
Textile chemical industry | 4 | 1.6 |
Working department | ||
Production | 91 | 37.0 |
Supply chain | 91 | 37.0 |
Operations | 30 | 12.2 |
Marketing | 26 | 10.6 |
Research and development | 8 | 3.3 |
Age of company | ||
Less than 5 years | 28 | 11.4 |
6 to 10 years | 39 | 15.9 |
11 to 15 years | 56 | 22.8 |
16 to 20 years | 36 | 14.6 |
More than 20 years | 87 | 35.4 |
Employee | ||
Under 200 employees | 49 | 19.9 |
Over 200 to 500 employees | 27 | 11.0 |
Over 500 to 1000 employees | 29 | 11.8 |
Over 1000 to 2000 employees | 33 | 13.4 |
Over 2000 employees | 108 | 43.9 |
Is your company ISO 9000 certified? | ||
Yes | 178 | 72.4 |
No | 68 | 27.6 |
Is your company ISO 14001 certified? | ||
Yes | 140 | 53.9 |
No | 106 | 43.1 |
Total | 246 | 100 |
Cronbach’s Alpha | Composite Reliability | Average Variance Extracted (AVE) | |
---|---|---|---|
CLP | 0.810 | 0.875 | 0.638 |
CP | 0.851 | 0.894 | 0.628 |
CoP | 0.796 | 0.881 | 0.711 |
ENP | 0.775 | 0.848 | 0.529 |
MP | 0.785 | 0.875 | 0.700 |
NP | 0.792 | 0.878 | 0.706 |
Mean | SD | CLP | CP | CoP | ENP | MP | NP | |
---|---|---|---|---|---|---|---|---|
CLP | 3.644 | 1.07 | 0.799 | |||||
CP | 3.739 | 1.082 | 0.736 | 0.792 | ||||
CoP | 3.769 | 0.986 | 0.577 | 0.519 | 0.843 | |||
ENP | 3.856 | 1.009 | 0.676 | 0.746 | 0.489 | 0.727 | ||
MP | 3.818 | 0.952 | 0.495 | 0.431 | 0.567 | 0.49 | 0.837 | |
NP | 3.981 | 0.868 | 0.545 | 0.472 | 0.561 | 0.508 | 0.658 | 0.84 |
CLP | CP | CoP | ENP | MP | NP | |
---|---|---|---|---|---|---|
CLP | ||||||
CP | 0.884 | |||||
CoP | 0.717 | 0.632 | ||||
ENP | 0.85 | 0.891 | 0.621 | |||
MP | 0.615 | 0.527 | 0.709 | 0.624 | ||
NP | 0.676 | 0.576 | 0.706 | 0.645 | 0.825 |
CLP | CP | CoP | ENP | MP | NP | |
---|---|---|---|---|---|---|
CLP1 | 0.737 | 0.553 | 0.379 | 0.506 | 0.359 | 0.425 |
CLP2 | 0.829 | 0.639 | 0.458 | 0.597 | 0.415 | 0.475 |
CLP3 | 0.81 | 0.588 | 0.496 | 0.524 | 0.355 | 0.389 |
CLP4 | 0.816 | 0.567 | 0.504 | 0.53 | 0.447 | 0.45 |
CP1 | 0.547 | 0.815 | 0.397 | 0.636 | 0.268 | 0.384 |
CP2 | 0.533 | 0.829 | 0.359 | 0.575 | 0.307 | 0.344 |
CP3 | 0.614 | 0.826 | 0.434 | 0.601 | 0.381 | 0.367 |
CP4 | 0.542 | 0.776 | 0.45 | 0.527 | 0.389 | 0.39 |
CP5 | 0.671 | 0.71 | 0.418 | 0.603 | 0.37 | 0.383 |
CoP1 | 0.468 | 0.44 | 0.85 | 0.406 | 0.441 | 0.381 |
CoP2 | 0.51 | 0.437 | 0.885 | 0.399 | 0.483 | 0.443 |
CoP3 | 0.479 | 0.434 | 0.792 | 0.43 | 0.507 | 0.591 |
ENP1 | 0.533 | 0.584 | 0.351 | 0.656 | 0.353 | 0.365 |
ENP2 | 0.472 | 0.513 | 0.394 | 0.722 | 0.33 | 0.397 |
ENP3 | 0.454 | 0.577 | 0.388 | 0.806 | 0.401 | 0.415 |
ENP4 | 0.445 | 0.453 | 0.286 | 0.662 | 0.306 | 0.255 |
ENP5 | 0.54 | 0.565 | 0.349 | 0.777 | 0.379 | 0.396 |
MP1 | 0.473 | 0.394 | 0.551 | 0.43 | 0.852 | 0.574 |
MP2 | 0.394 | 0.362 | 0.482 | 0.415 | 0.876 | 0.591 |
MP3 | 0.367 | 0.32 | 0.374 | 0.38 | 0.778 | 0.481 |
NP1 | 0.403 | 0.398 | 0.484 | 0.436 | 0.458 | 0.809 |
NP2 | 0.5 | 0.413 | 0.515 | 0.43 | 0.61 | 0.878 |
Np3 | 0.463 | 0.38 | 0.416 | 0.417 | 0.576 | 0.832 |
Hypothesis | Path | Path Coefficient | T-Statistics | p Values | Decision |
---|---|---|---|---|---|
H1 | CoP -> CLP | 0.362 | 5.534 | 0 ** | Supported |
H2 | NP -> CLP | 0.267 | 3.99 | 0 ** | Supported |
H3 | MP -> CLP | 0.114 | 1.504 | 0.133 | Not Supported |
H4 | CoP -> ENP | 0.073 | 1.127 | 0.26 | Not Supported |
H5 | MP -> ENP | 0.178 | 2.91 | 0.004 * | Supported |
H6 | CLP -> ENP | 0.546 | 10.197 | 0 ** | Supported |
H7 | ENP -> EP | 0.746 | 26.465 | 0 ** | Supported |
Indirect Path | |||||||||
---|---|---|---|---|---|---|---|---|---|
Hypothesis | Path | B | Path | B | Mediation Effect B | t-Values | Total Effect | VAF | Decision |
H8a | CoP-CLP | 0.717 | CLP-ENP | 0.836 | 0.599 | 5.338 * | 0.836 | 0.717 | Partial |
H8b | NP-CLP | 0.677 | CLP-ENP | 0.766 | 0.519 | 5.967 * | 0.766 | 0.677 | Partial |
H8c | MP-CLP | 0.617 | CLP-ENP | 0.755 | 0.466 | 6.060 * | 0.755 | 0.617 | Partial |
H9 | CLP-ENP | 0.852 | ENP-EP | 0.587 | 0.500 | 3.379 * | 0.890 | 0.562 | Partial |
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Habib, M.A.; Karim, M.R.; Dulal, M.; Munir, M.S. Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance. Sustainability 2022, 14, 16748. https://doi.org/10.3390/su142416748
Habib MA, Karim MR, Dulal M, Munir MS. Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance. Sustainability. 2022; 14(24):16748. https://doi.org/10.3390/su142416748
Chicago/Turabian StyleHabib, Md. Ahashan, Md. Rezaul Karim, Marzia Dulal, and Mohammad Shayekh Munir. 2022. "Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance" Sustainability 14, no. 24: 16748. https://doi.org/10.3390/su142416748
APA StyleHabib, M. A., Karim, M. R., Dulal, M., & Munir, M. S. (2022). Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance. Sustainability, 14(24), 16748. https://doi.org/10.3390/su142416748