How Does Environmental Sustainability Commitment Affect Corporate Environmental Performance: A Chain Mediation Model
Abstract
:1. Introduction
2. Theory and Hypotheses
2.1. Environmental Sustainability Commitment and Corporate Environmental Performance
2.2. The Mediating Role of Green Readiness
2.3. The Mediating Role of Green Opportunity Identification and Exploitation
2.4. The Chain Mediating Role of Green Readiness and Green Opportunity Identification and Exploitation
3. Methods
3.1. Sample
3.2. Measures
Construct and Derivation | Indicator | Measures |
---|---|---|
Corporate environmental performance (CEP), Sahoo et al. (2023) [69] | CEP1 CEP2 CEP3 CEP4 CEP5 | We can promote the reduction of air emissions. We can promote the reduction of wastewater. We can promote the reduction of solid wastes. We can decrease the consumption of hazardous/ harmful/toxic materials. We can improve the company’s environmental situation. |
Environmental sustainability commitment (ESC), Rehman et al. (2022) [33] | ESC1 ESC2 ESC3 ESC4 | Environmental protection is part of the business. Committing to environmental sustainability is good for my business. Our commitment to the environment allows us to gain more customers. We are proud to do business in the local community. |
Green technology readiness (GTR), Zhang et al. (2020) [41] | GTR1 GTR2 GTR3 GTR4 GTR5 | Our green technologies meet our operational needs. Our green technologies match the requirements of suppliers/customers. Our green technologies increase operational efficiency. Our green technologies promote job effectiveness. Our green technologies enhance product/service quality. |
Green organization readiness (GOR), Zhang et al. (2020) [41] | GOR1 GOR2 GOR3 GOR4 GOR5 GOR6 | Our organization cultivates a green culture among employees. Our organization pays attention to environmental protection in daily operations. Our organization incorporates sustainable development in corporate strategy. Our organization encourages employees to think creatively. Our organization provides managerial support at all levels. Our organization makes resources available as possible. |
Green environment readiness (GER), Zhang et al. (2020) [41] | GER1 GER2 GER3 GER4 GER5 | Our organization pays attention to and complies with environmental policies. Our organization shares policy updates with employees. Our organization keeps track of green product/service demands. Our organization understands customers’ environmental concerns. Our organization regards customers as environmental partners. |
Green opportunities identification and exploitation (GOIE), Ozgen et al. (2007) [67] and Dewar and Dutton (1986) [68] | GOIE1 GOIE2 GOIE3 GOIE4 GOIE5 GOIE6 | Our company can gather green opportunity information quickly. Our company can identify the impact of new information quickly. Our company can master new green opportunity information. Our company can master new green opportunity information. Our company can provide new green products/services. Our company can provide new green products/services. |
3.3. Evaluation of Common Method Bias
4. Results
4.1. Measurement Model Assessment
4.2. Model Selection
4.3. Hypotheses Testing
4.4. Robustness Tests
5. Discussion and Conclusions
5.1. Conclusions
5.2. Theoretical Contributions
5.3. Managerial Implications
5.4. Limits and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Descriptive Items | Number | Percentage |
---|---|---|
Firm size (employees) | ||
Less than 50 | 31 | 9.57% |
51–100 | 34 | 10.49% |
101–500 | 69 | 21.30% |
501–1000 | 53 | 16.36% |
Above 1000 | 137 | 42.28% |
Industry type | ||
Manufacturing | 148 | 45.68% |
Construction | 29 | 8.95% |
Transportation and Logistics | 17 | 5.25% |
Information Technology | 51 | 15.74% |
Retail and Wholesale Trade | 17 | 5.25% |
Financial Services | 20 | 6.17% |
Others | 42 | 12.96% |
Firm age (years) | ||
Less than 3 | 41 | 12.65% |
3–5 | 63 | 19.44% |
5–10 | 72 | 22.22% |
10–15 | 89 | 27.47% |
More than 15 | 59 | 18.21% |
Working experience (years) | ||
Less than 3 | 22 | 6.79% |
3–5 | 44 | 13.58% |
5–10 | 77 | 23.77% |
10–15 | 92 | 28.40% |
More than 15 | 89 | 27.47% |
Variables | Items | Loading | KMO | Cronbach’s Alpha | C.R. | AVE |
---|---|---|---|---|---|---|
CEP | CEP1 CEP2 CEP3 CEP4 CEP5 | 0.753 0.832 0.722 0.827 0.850 | 0.885 | 0.895 | 0.897 | 0.637 |
ESC | ESC1 ESC2 ESC3 ESC4 | 0.820 0.845 0.785 0.788 | 0.837 | 0.884 | 0.884 | 0.656 |
GTR | GTR1 GTR2 GTR3 GTR4 GTR5 | 0.805 0.684 0.831 0.833 0.771 | 0.875 | 0.888 | 0.890 | 0.619 |
GOR | GOR1 GOR2 GOR3 GOR4 GOR5 GOR6 | 0.843 0.784 0.786 0.769 0.850 0.861 | 0.917 | 0.922 | 0.923 | 0.666 |
GER | GER1 GER2 GER3 GER4 GER5 | 0.728 0.781 0.718 0.734 0.893 | 0.841 | 0.879 | 0.881 | 0.598 |
GOIE | GOIE1 GOIE2 GOIE3 GOIE4 GOIE5 GOIE6 | 0.808 0.818 0.700 0.816 0.863 0.708 | 0.908 | 0.907 | 0.907 | 0.621 |
1 | 2 | 3 | 4 | 5 | 6 | |
---|---|---|---|---|---|---|
Fornell and Larcker criterion | ||||||
1.CEP | 0.798 | |||||
2.ESC | 0.417 *** | 0.810 | ||||
3.GTR | 0.552 *** | 0.301 *** | 0.787 | |||
4.GOR | 0.608 *** | 0.344 *** | 0.571 *** | 0.816 | ||
5.GER | 0.542 *** | 0.226 *** | 0.671 *** | 0.575 *** | 0.773 | |
6.GOIE | 0.626 *** | 0.375 *** | 0.542*** | 0.644 *** | 0.537 *** | 0.788 |
Heterotrait–Monotrait ratio criterion | ||||||
1.CEP | ||||||
2.ESC | 0.424 | |||||
3.GTR | 0.564 | 0.304 | ||||
4.GOR | 0.620 | 0.352 | 0.586 | |||
5.GER | 0.544 | 0.222 | 0.671 | 0.588 | ||
6.GOIE | 0.617 | 0.371 | 0.537 | 0.639 | 0.521 |
Model | χ2/d.f. | GFI | CFI | NNFI | IFI | PNFI | RMSEA |
---|---|---|---|---|---|---|---|
M0 | 2.273 | 0.844 | 0.920 | 0.911 | 0.920 | 0.786 | 0.063 |
M1 | 2.352 | 0.834 | 0.914 | 0.906 | 0.914 | 0.788 | 0.065 |
M2 | 2.555 | 0.815 | 0.901 | 0.892 | 0.902 | 0.775 | 0.069 |
Hypothesis | Path | Coefficient | S.E. | C.R. | p | Result |
---|---|---|---|---|---|---|
H1 | ESC→CEP | 0.173 | 0.051 | 2.796 | 0.005 | Supported |
Hypothesis | Path | Coefficient | S.E. | p | LLCI | ULCI | Result |
---|---|---|---|---|---|---|---|
H2a | ESC→GTR→CEP | 0.051 | 0.030 | 0.038 | 0.003 | 0.124 | Supported |
H2b | ESC→GOR→CEP | 0.089 | 0.039 | 0.003 | 0.031 | 0.186 | Supported |
H2c | ESC→GER→CEP | 0.044 | 0.028 | 0.029 | 0.004 | 0.117 | Supported |
H3 | ESC→GOIE→CEP | 0.042 | 0.025 | 0.018 | 0.007 | 0.107 | Supported |
H4a | ESC→GTR→GOIE→CEP | 0.017 | 0.012 | 0.012 | 0.002 | 0.053 | Supported |
H4b | ESC→GOR→GOIE→CEP | 0.046 | 0.020 | 0.000 | 0.019 | 0.106 | Supported |
H4c | ESC→GER→GOIE→CEP | 0.015 | 0.010 | 0.003 | 0.003 | 0.046 | Supported |
Paths | Estimate | S.E. | LLCI | ULCI |
---|---|---|---|---|
ESC—CEP | 0.375 | 0.051 | 0.268 | 0.468 |
ESC—GTR—CEP | 0.075 | 0.026 | 0.031 | 0.129 |
ESC—GOR—CEP | 0.103 | 0.032 | 0.049 | 0.173 |
ESC—GER—CEP | 0.053 | 0.022 | 0.016 | 0.101 |
ESC—GOIE—CEP | 0.162 | 0.039 | 0.093 | 0.246 |
ESC—GTR—GOIE—CEP | 0.041 | 0.014 | 0.018 | 0.073 |
ESC—GOR—GOIE—CEP | 0.053 | 0.018 | 0.024 | 0.092 |
ESC—GER—GOIE—CEP | 0.029 | 0.013 | 0.009 | 0.058 |
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Zhang, J.; Shao, X.; Sun, T. How Does Environmental Sustainability Commitment Affect Corporate Environmental Performance: A Chain Mediation Model. Sustainability 2025, 17, 3461. https://doi.org/10.3390/su17083461
Zhang J, Shao X, Sun T. How Does Environmental Sustainability Commitment Affect Corporate Environmental Performance: A Chain Mediation Model. Sustainability. 2025; 17(8):3461. https://doi.org/10.3390/su17083461
Chicago/Turabian StyleZhang, Jinshan, Xuan Shao, and Tingshu Sun. 2025. "How Does Environmental Sustainability Commitment Affect Corporate Environmental Performance: A Chain Mediation Model" Sustainability 17, no. 8: 3461. https://doi.org/10.3390/su17083461
APA StyleZhang, J., Shao, X., & Sun, T. (2025). How Does Environmental Sustainability Commitment Affect Corporate Environmental Performance: A Chain Mediation Model. Sustainability, 17(8), 3461. https://doi.org/10.3390/su17083461