| Literature DB >> 32987738 |
Abstract
Private firms have been struggling to simultaneously achieve both environmental and economic goals. The concept of eco-efficiency captures the extent to which firms gain competitiveness through environmental management. Based on stakeholder salience theory and organizational learning theory, this study proposes that relationship with public stakeholders can hinder or promote private firms' eco-efficiency. Our findings showed that firm eco-efficiency is reduced by a relationship with the government but is enhanced by relationships with non-governmental organizations (NGOs). This study also found that the effects on eco-efficiency of a firm's relationship with public stakeholders are contingent on firm size. The findings of this study shed light on the organizational learning perspective of eco-efficiency and multi-stakeholder management by theoretically and empirically differentiating the effects on firm eco-efficiency of relationships with the government and NGOs.Entities:
Keywords: eco-efficiency; organizational learning; stakeholder relationship; stakeholder salience
Mesh:
Year: 2020 PMID: 32987738 PMCID: PMC7579038 DOI: 10.3390/ijerph17196983
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Salience in relationships with the government and non-governmental organizations (NGOs).
| Salience in Public Stakeholder Relationships | Government | NGO |
|---|---|---|
| Power asymmetry | Direct power | Indirect power |
| Legitimacy conferral | Political legitimacy | Normative legitimacy |
| Issue urgency | Time-sensitivity | Criticality |
Regression models for firm eco-efficiency.
| Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 |
|---|---|---|---|---|---|---|
| Relationship with the government | −0.845 *** | −0.934 *** | −0.876 *** | −0.956 *** | ||
| (0.132) | (0.137) | (0.134) | (0.139) | |||
| Relationship with NGO | 0.369 * | 0.515 *** | 0.498 *** | 0.585 *** | ||
| (0.145) | (0.148) | (0.149) | (0.160) | |||
| Relationship with the government × Firm size | −0.162 * | |||||
| (0.0647) | ||||||
| Relationship with NGO × Firm size | −0.221 ** | |||||
| (0.075) | ||||||
| Firm size | 0.164 *** | 0.258 *** | 0.131 ** | 0.223 *** | 0.290 *** | 0.308 *** |
| (0.039) | (0.042) | (0.039) | (0.041) | (0.063) | (0.052) | |
| Firm age | 0.025 | 0.036 ** | 0.021 | 0.032 * | 0.030 * | 0.031 * |
| (0.013) | (0.013) | (0.014) | (0.014) | (0.014) | (0.014) | |
| Leverage | −0.002 * | −0.002 * | −0.002 * | −0.002 * | −0.002 * | −0.002 * |
| (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | |
| Export | 0.032 | 0.030 | 0.031 | 0.029 | 0.031 | 0.034 |
| (0.026) | (0.026) | (0.026) | (0.026) | (0.026) | (0.026) | |
| Foreign ownership | 0.579 | 0.581 | 0.607 | 0.621 | 0.569 | 0.630 |
| (0.754) | (0.745) | (0.766) | (0.760) | (0.757) | (0.752) | |
| Founder age | −0.002 | −0.001 | −0.001 | −0.001 | −0.001 | −0.001 |
| (0.007) | (0.007) | (0.007) | (0.007) | (0.007) | (0.007) | |
| Education | −0.034 | −0.024 | −0.039 | −0.029 | −0.029 | −0.027 |
| (0.019) | (0.019) | (0.020) | (0.019) | (0.019) | (0.019) | |
| Gender | −0.028 | −0.045 | −0.028 | −0.046 | −0.037 | −0.032 |
| (0.163) | (0.163) | (0.163) | (0.162) | (0.162) | (0.162) | |
| Institutional development | 0.004 | −0.005 | 0.012 | 0.004 | −0.005 | −0.018 |
| (0.072) | (0.078) | (0.071) | (0.077) | (0.077) | (0.077) | |
| Industry fixed effect | Y | Y | Y | Y | Y | Y |
| Province fixed effect | Y | Y | Y | Y | Y | Y |
| _cons | 0.432 | 0.142 | 0.441 | 0.124 | 0.0169 | −0.0116 |
| (0.646) | (0.687) | (0.636) | (0.674) | (0.681) | (0.675) | |
| F value | 7.21 *** | 6.93 *** | 7.18 *** | 6.94 *** | 6.76 *** | 6.75 *** |
| N | 3701 | 3701 | 3701 | 3701 | 3701 | 3701 |
Standard errors in parentheses; F value is the ratio of the mean regression sum of squares divided by the mean error sum of squares; * p < 0.05, ** p < 0.01, *** p < 0.001. Data source: National Survey of Chinese Private Enterprises (NSCPE) database.
Summary of hypothesis testing.
| Hypothesis | Results |
|---|---|
| Supported | |
| Supported | |
| Supported | |
| Supported |
Robustness check with alternative measure of eco-efficiency.
| Variables | Model 7 | Model 8 | Model 9 | Model 10 |
|---|---|---|---|---|
| Relationship with the government | −0.773 *** | −0.820 *** | −0.868 *** | |
| (0.128) | (0.129) | (0.133) | ||
| Relationships with NGOs | 0.311 * | 0.435 ** | 0.498 ** | |
| (0.141) | (0.144) | (0.154) | ||
| Relationship with the government × Firm size | −0.084 * | |||
| (0.041) | ||||
| Relationships with NGOs × Firm size | −0.172 * | |||
| (0.071) | ||||
| Firm size | 0.129 *** | 0.015 | 0.134 * | 0.165 *** |
| (0.038) | (0.036) | (0.058) | (0.048) | |
| Firm age | 0.038 ** | 0.025 | 0.0342 * | 0.0346 ** |
| (0.012) | (0.013) | (0.013) | (0.013) | |
| Leverage | −0.001 | −0.001 | −0.001 | −0.001 |
| (0.001) | (0.001) | (0.001) | (0.001) | |
| Export | −0.001 | −0.004 | −0.005 | −0.002 |
| (0.026) | (0.026) | (0.026) | (0.026) | |
| Foreign ownership | 0.660 | 0.682 | 0.668 | 0.702 |
| (0.718) | (0.736) | (0.729) | (0.724) | |
| Founder age | −0.002 | −0.002 | −0.001 | −0.002 |
| (0.007) | (0.007) | (0.007) | (0.007) | |
| Education | −0.015 | −0.028 | −0.019 | −0.018 |
| (0.018) | (0.019) | (0.018) | (0.018) | |
| Gender | −0.024 | −0.009 | −0.021 | −0.015 |
| (0.158) | (0.158) | (0.158) | (0.158) | |
| Institutional development | −0.003 | 0.011 | −0.001 | −0.013 |
| (0.066) | (0.058) | (0.066) | (0.067) | |
| Industry fixed effect | Y | Y | Y | Y |
| Province fixed effect | Y | Y | Y | Y |
| _cons | −0.254 | 0.0193 | −0.325 | −0.375 |
| (0.598) | (0.551) | (0.605) | (0.602) | |
| F value | 1.73 ** | 1.74 ** | 1.99 *** | 2.05 *** |
| N | 3701 | 3701 | 3701 | 3701 |
Standard errors in parentheses; F value is the ratio of the mean regression sum of squares divided by the mean error sum of squares; * p < 0.05, ** p < 0.01, *** p < 0.001. Data source: NSCPE database.
Robustness check for moderating the effect of firm size.
| Variables | Model 11 | Model 12 | Model 13 | Model 14 | Model 15 |
|---|---|---|---|---|---|
| Relationship with the government | −0.831 *** | −0.869 *** | −0.978 *** | −1.142 *** | |
| (0.134) | (0.135) | (0.195) | (0.221) | ||
| Relationships with NGOs | 0.580 *** | 0.642 *** | 0.704 * | 0.350 * | |
| (0.151) | (0.158) | (0.290) | (0.166) | ||
| Relationship with the government × Firm size | −0.041 * | ||||
| (0.022) | |||||
| Relationships with NGOs × Firm size | −0.139 ** | ||||
| (0.042) | |||||
| Relationship with affiliated NGOs | 0.211 * | ||||
| (0.074) | |||||
| Relationship with independent NGOs | 0.423 ** | ||||
| (0.113) | |||||
| Firm size | 0.128 *** | 0.165 *** | 0.072 * | 0.097 *** | 0.016 |
| (0.028) | (0.023) | (0.032) | (0.021) | (0.036) | |
| Firm age | 0.034 * | 0.033 * | 0.066 ** | −0.006 | 0.0255 |
| (0.013) | (0.013) | (0.024) | (0.016) | (0.013) | |
| Leverage | −0.001 | −0.001 | −0.001 | −0.033 * | −0.001 |
| (0.001 | (0.001) | (0.001) | (0.014) | (0.001) | |
| Export | 0.041 | 0.043 | −0.041 | 0.051 | −0.004 |
| (0.026) | (0.026) | (0.058) | (0.029) | (0.026) | |
| Foreign ownership | 0.566 | 0.570 | 0.903 | 0.364 | 0.689 |
| (0.766) | (0.757) | (1.037) | (0.951) | (0.734) | |
| Founder age | 0.001 | 0.001 | −0.011 | 0.007 | −0.002 |
| (0.007) | (0.007) | (0.012) | (0.008) | (0.007) | |
| Education | −0.027 | −0.025 | −0.006 | −0.062 * | −0.026 |
| (0.019) | (0.019) | (0.024) | (0.026) | (0.018) | |
| Gender | −0.081 | −0.075 | −0.315 | 0.475 | −0.009 |
| (0.160) | (0.160) | (0.197) | (0.306) | (0.158) | |
| Institutional development | −0.025 | −0.024 | 0.067 | −0.085 | 0.011 |
| (0.072) | (0.075) | (0.043) | (0.111) | (0.058) | |
| Industry fixed effect | Y | Y | Y | Y | Y |
| Province fixed effect | Y | Y | Y | Y | Y |
| _cons | 0.320 | 0.0263 | 0.0176 | 1.695 | 0.021 |
| (0.647) | (0.672) | (0.479) | (1.007) | (0.516) | |
| F value | 7.10 *** | 7.25 *** | 4.10 *** | 3.61 *** | 1.79 ** |
| N | 3701 | 3701 | 1866 | 1835 | 3701 |
Standard errors in parentheses; F value is the ratio of the mean regression sum of squares divided by the mean error sum of squares; * p < 0.05, ** p < 0.01, *** p < 0.001. Data source: NSCPE database.