| Literature DB >> 35886576 |
Sohail Ahmad Javeed1, Boon Heng Teh2, Tze San Ong3,4, Lee Lee Chong2, Mohd Fairuz Bin Abd Rahim2, Rashid Latief5.
Abstract
Global warming is becoming more and more of a concern, leading authorities to take action. The industrial sector is a key contributor to environmental and social problems. Based on stakeholder theory and agency theory, this research proposes that green innovation strategies at the firm level can overcome the industry's negative environmental impact. As a result, the focus of this research is on green innovation strategies for corporate financing. In addition, this research suggests that corporate social responsibility and gender diversity directly affect corporate financing and their interaction. This study used Chinese 301 manufacturing firms (3010 observations) for the period 2010-2019 for this purpose. This study looks into panel data issues in depth by using approaches such as the fixed effect and generalized method of moment. The feasible generalized least square was employed to increase robustness. Furthermore, green innovation strategies were used for corporate financing. Second, the study discovered that corporate social responsibility aided firm financing. Our findings also imply that corporate social responsibility helps to attenuate the association amid green innovative strategies and corporate financing. Finally, these findings revealed that gender diversity had a favorable effect on corporate financing. Furthermore, this study confirmed that the moderating role of gender diversity is beneficial to green innovative strategies and corporate financing. These findings add to the literature by providing policymakers and regulatory bodies with useful information for advancing sustainable development.Entities:
Keywords: corporate financing; corporate social responsibility; environmental pollution; gender diversity; green innovation strategy
Mesh:
Year: 2022 PMID: 35886576 PMCID: PMC9316076 DOI: 10.3390/ijerph19148724
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Conceptual roadmap.
Descriptive statistics and Pearson correlation.
| Variables | Mean | Standard Deviation | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. CF | 0.307 | 0.386 | 1 | ||||||||||
| 2. GIS | 0.738 | 0.933 | 0.967 *** | 1 | |||||||||
| 3. CSR | 1.282 | 0.781 | 0.203 *** | 0.224 *** | 1 | ||||||||
| 4. GD | 0.253 | 0.671 | 0.001 | −0.041 ** | −0.527 *** | 1 | |||||||
| 5. GISCSR | 0.022 | 0.044 | 0.760 *** | 0.675 *** | 0.268 *** | −0.118 *** | 1 | ||||||
| 6. GISGD | 0.024 | 0.110 | 0.251 *** | 0.217 *** | −0.092 *** | 0.039 *** | 0.324 *** | 1 | |||||
| 7. EA | 0.428 | 0.434 | −0.106 *** | −0.122 *** | 0.409 *** | 0.076 *** | −0.022 *** | −0.044 *** | 1 | ||||
| 8. FS | 8.080 | 6.084 | 0.134 *** | 0.155 *** | 0.516 *** | −0.022 *** | 0.104 *** | −0.065 *** | 0.425 *** | 1 | |||
| 9. ATO | 6.363 | 5.144 | 0.233 *** | 0.255 *** | 0.135 *** | -0.243 *** | 0.196 *** | 0.067 *** | −0.243 *** | −0.049 *** | 1 | ||
| 10. PPE | 0.501 | 0.524 | 0.702 *** | 0.669 *** | 0.201 *** | 0.015 *** | 0.641 *** | 0.226 *** | 0.172 *** | 0.095 *** | 0.120 *** | 1 | |
| 11. LIQ | 0.222 | 0.391 | 0.542 *** | 0.486 *** | 0.178 *** | 0.083 *** | 0.455 *** | 0.147 *** | 0.232 *** | 0.466 *** | 0.003 *** | 0.678 *** | 1 |
Significance levels: ** p < 0.05, *** p < 0.01. CF reveals corporate financing; GIS shows the green innovation strategy; CSR presents corporate social responsibility; GD reveals gender diversity; FS shows the firm size; LIQ reveals the liquidity; PPE highlights the ratio of plant, property, and equipment; ATO shows the asset turnover; and EA reveals environmental awareness.
Results of the link between GIS and CF, CSR and CF, GD and CF.
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Variables | Corporate Financing | Corporate Financing | Corporate Financing | |||
| Fixed Effect | GMM | Fixed Effect | GMM | Fixed Effect | GMM | |
| GIS | 0.338 *** | 0.340 *** | ||||
| CSR | 0.036 *** | 0.054 *** | ||||
| GD | 0.075 *** | 0.092 *** | ||||
| EA | −0.101 *** | −0.130 *** | −0.469 *** | −0.617 *** | −0.466 *** | −0.615 *** |
| FS | 0.106 *** | −0.119 *** | 0.091 | 0.352 *** | 0.137 | 0.447 *** |
| ATO | 0.003 *** | 0.002 *** | 0.007 *** | 0.004 *** | 0.008 *** | 0.004 *** |
| PPE | 0.118 *** | 0.115 *** | 0.548 *** | 0.579 *** | 0.547 *** | 0.578 *** |
| LIQ | −0.016 *** | −0.014 *** | 0.023 | −0.008 *** | 0.019 *** | −0.012 |
| Constant | 0.021 *** | 0.023 *** | 0.131 *** | 0.116 *** | 0.154 *** | 0.154 *** |
| R2 | 0.9711 | 0.6653 | 0.6663 | |||
| F | 20.80 *** | 12.02 *** | 12.37 | |||
| N | 3006 | 2403 | 3006 | 2403 | 3006 | 2403 |
| Hausman Test | 774.82 *** | 60.77 *** | 98.17 *** | |||
| Wald Chi2 | 89,566.40 *** | 4168.49 *** | 4167.28 *** | |||
Significance levels: *** p < 0.01.
The moderating results.
| Model 4 | Model 5 | |||
|---|---|---|---|---|
| Variables | Corporate Financing | Corporate Financing | ||
| Fixed Effect | GMM | Fixed Effect | GMM | |
| GIS | 0.327 *** | 0.330 *** | 0.331 *** | 0.340 *** |
| CSR | -0.002 | 0.008 | ||
| GISCSR | 0.580 *** | 0.425 *** | ||
| GD | 0.018 *** | 0.022 *** | ||
| GISGD | 0.044 *** | 0.026 *** | ||
| EA | −0.093 *** | −0.121 *** | −0.101 *** | −0.128 *** |
| FS | 0.113 *** | −0.104 *** | 0.109 *** | 0.118 *** |
| ATO | 0.002 *** | 0.001 *** | 0.007 *** | 0.002 *** |
| PPE | 0.108 *** | 0.106 *** | 0.117 *** | 0.113 *** |
| LIQ | −0.015 *** | −0.013 *** | −0.016 *** | −0.014 *** |
| Constant | 0.024*** | 0.012 *** | 0.015 *** | 0.017 ** |
| R2 | 0.9743 | 0.9615 | ||
| F | 15.79 *** | 19.92 *** | ||
| N | 3006 | 2403 | 3006 | 2403 |
| Hausman Test | 564.03 *** | 433.66 *** | ||
| Wald Chi2 | 98,063.04 *** | 90,936.28 *** | ||
Significance levels: ** p < 0.05, *** p < 0.01.
The robustness results with FGLS.
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
|---|---|---|---|---|---|
| Variables | Corporate Financing | Corporate Financing | Corporate Financing | ||
| FGLS | FGLS | FGLS | FGLS | FGLS | |
| GIS | 0.316 *** | 0.281 *** | 0.313 *** | ||
| CSR | 0.019 *** | −0.011 *** | |||
| GISCSR | 2.279 *** | ||||
| GD | 0.018 *** | 0.014 *** | |||
| GISGD | 0.067 *** | ||||
| EA | −0.037 *** | −0.249 *** | −0.237 *** | −0.024 *** | −0.044 *** |
| FS | 0.010 | 0.624 *** | 0.689 *** | 0.070 *** | 0.027 ** |
| ATO | −0.001 *** | 0.002 *** | 0.004 *** | −0.005 *** | 0.001 ** |
| PPE | 0.159 *** | 0.586 *** | 0.582*** | 0.107 *** | 0.158 *** |
| LIQ | 0.025 *** | 0.026 ** | 0.023 *** | −0.008 ** | 0.021 *** |
| Constant | 0.003 *** | 0.014 *** | 0.013 *** | 0.015 *** | −0.001 *** |
| N | 3006 | 3006 | 3006 | 3006 | 3006 |
| Wald Chi2 | 147,243.45 *** | 22,324.66 *** | 29,497.17 *** | 248,769.99 *** | 131,969.86 *** |
Significance levels: ** p < 0.05, *** p < 0.01.