What Impact Does Corporate Governance Have on Corporate Environmental Performances? An Empirical Study of Italian Listed Firms
Abstract
:1. Introduction
2. Framework and Hypothesis
2.1. Board Characteristics
2.1.1. Monitoring
2.1.2. Resource Provision
2.2. Family and No-Family Firms
3. Method
3.1. Sample Selection
- having exceeded 20 million euros on the balance sheet;
- having exceeded 40 million euros in total net revenue from sales and services.
3.2. Dependent Variables
3.3. Independent Variables
- board independence. This is measured as the rapport between the number of independent board members and the total number of board members;
- board size. This is measured as the number of board members;
- directors’ interlocks. This is measured as the number of directorships that directors of sampled firms have outside that specific firm (i.e., on other firms’ boards). It is a proxy of social and human capital for board members. The director of the focal firm that sits on other boards is a multiple director. Increasing multiple directorships also increases that director’s expertise and the board’s directorate ties to external organisations that could provide resources to the focal firm.
- family firm status. This is a dummy variable equal to 1 if the firm was identified as a family firm, 0 otherwise. In line with the reference framework, a family firm is a company in which a family has used its equity holding in that firm company to appoint a family member to the position of CEO or chairman of the board (in the case of no CEO duality). In the end, we identified 49 family firms and 34 no-family firms in the sample.
3.4. Control Variables
- firm size. This is measured as the natural log of total assets. Clarkson et al. [106] suggested that larger firms are more likely to see green issues as a priority in itself to be managed effectively;
- firm age. This is measured as the fiscal year for which the data apply minus the year of establishment. Berrone et al. [47] suggested that it is probable that older firms will have sunk costs which make it convenient to continue making use of equipment and plant that are dated primitive and more polluting;
- financial performance. This is measured by using returns on assets (Roa). Profitable firms could perform better environmentally since they are able to support large environmental compliance costs [58].
- leverage. This is measured as total debt divided by total assets. Clarkson et al. [106] suggest that firms with higher leverage have better environmental performances.
- internationalization. Firms which have rendered their productive processes international have to relate to a wider range of shareholders and may have to respect different anti-pollution legislation. Therefore, we use a further, dummy, control variable, the “internationalization” varaiable, which takes a value of “1” when the firm also has centres of production outside the European Union and “0” otherwise.”
- polluting industry. The industrial sector can have an impact on the single firm’s environmental performance [47]. We control for the firm’s belonging to a given sector by using a dummy variable. When a firm operates in a sector with a great environmental impact, the dummy variable is coded 1 and 0 otherwise. In line with prior studies [30], the sectors classified as having a great environmental impact are: Forestry (SIC codes between 800–899), Metal Mining (SIC codes between 1000–1099), Coal Mining and Oil and Gas Exploration (SIC codes between 1200–1399), Paper and Pulp Mills (SIC codes between 2600–2699), Chemicals, Pharmaceutical and Plastics Manufacturing (SIC codes between 2800–3099), Iron and Steel Manufacturing (Iron and Steel Manufacturing SIC codes between 3300–3399), and Electricity, Gas and Waste Water (SIC codes between 4900–4999). When identifying the sectors to which the sampled firms belonged, we found that 49 of the firms (out of the 83 analysed) were associated with sectors with a great environmental impact. In particular, 4 firms belonged to the Metal Mining sector; 11 firms were a part of the Coal Mining and Oil and Gas Exploration sector; 1 firm was in the Paper and Pulp Mills sector; 17 firms were in the Chemicals, Pharmaceutical and Plastics Manufacturing sector; 3 firms were in the Iron and Steel Manufacturing sector; 13 firms belonged to the Electricity, Gas and Waste Water sector.
4. Results
Robustness Checks
5. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Means | Standard Deviations | 11 | 10 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. environmental performance | −13.412 | 25.141 | 1 | ||||||||||
2. board independence | 0.612 | 0.124 | 1 | 0.19 ** | |||||||||
3. board size | 7.781 | 2.171 | 1 | 0.30 ** | 0.18 ** | ||||||||
4. director interlocks | 4.114 | 3.151 | 1 | 0.17 ** | 0.25 ** | 0.21 ** | |||||||
5. family firm status | 0.590 | 0.460 | 1 | 0.02 | 0.18 ** | −0.11 * | 0.07 | ||||||
6. firm size | 19.062 | 4.289 | 1 | 0.01 | 0.16 ** | 0.15 ** | 0.07 | 0.14 ** | |||||
7. firm age | 65,451 | 35,214 | 1 | 0.17 ** | 0.02 | 0.29 ** | 0.29 ** | 0.33 ** | −0.08 | ||||
8. financial performance | 5.711 | 6.374 | 1 | 0.11 * | 0.11 * | 0.10 * | −0.07 | 0.19 ** | 0.04 | 0.04 | |||
9. Tobin’s Q | 3.114 | 10.976 | 1 | 0.14 ** | −0.01 | −0.02 | 0.07 | 0.05 | 0.03 | −0.03 | 0.05 | ||
10. leverage | 0.653 | 0.179 | 1 | −0.17 ** | −0.14 ** | 0.03 | 0.17 ** | 0.21 ** | 0.35 ** | 0.04 | 0.09 | 0.12 * | |
11. polluting industry | 0.59 | 0.761 | 1 | −0.19 ** | −0.01 | −0.04 | 0.19 ** | 0.21 ** | 0.02 | 0.20 ** | 0.20 ** | 0.15 ** | −0.49 ** |
12. internationalization | 0.770 | 0.541 | 0.21 ** | 0.09 | 0.12 * | 0.16 ** | 0.03 | 0.23 ** | −0.05 | 0.02 | 0.11 * | 0.18 ** | 0.01 |
Model A | Model B | |||
---|---|---|---|---|
Variable | Parameter Estimate | p Value | Parameter Estimate | p Value |
Intercept | −39.29 | 0.21 | −31.07 | 0.04 * |
Controls | ||||
firm size | 0.13 | 0.002 ** | 0.10 | 0.001 ** |
firm age | −0.07 | 0.031 * | 0.08 | 0.029 * |
financial performance | 0.05 | 0.049 * | 0.04 | 0.035 * |
Tobin’s Q | 0.13 | 0.171 | 0.23 | 0.231 |
leverage | 0.73 | 0.217 | 0.69 | 0.094 † |
polluting industry | −1.19 | 0.009 ** | −1.25 | 0.004 ** |
internationalization | 0.14 | 0.124 | 0.19 | 0.171 |
Main effect | ||||
board independence | 1.15 | 0.007 ** | ||
board size | 0.16 | 0.013 * | ||
director interlocks | 0.97 | 0.127 | ||
family firm status | 0.39 | 0.008 ** | ||
Anova | ||||
F sign | 19.191 ** | 13.973 ** | ||
R2 | 0.248 | 0.276 | ||
Adj R2 | 0.235 | 0.256 | ||
ΔR2 | 0.248 | 0.028 | ||
F change | 19.191 ** | 6.210 ** |
Model A | Model B | |
---|---|---|
F-statistic | 2.654 | 2.499 |
Prob. F | 0.011 | 0.005 |
N*R-squared | 16.185 | 24.900 |
Prob. Chi-Square | 0.023 | 0.009 |
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Rubino, F.; Napoli, F. What Impact Does Corporate Governance Have on Corporate Environmental Performances? An Empirical Study of Italian Listed Firms. Sustainability 2020, 12, 5742. https://doi.org/10.3390/su12145742
Rubino F, Napoli F. What Impact Does Corporate Governance Have on Corporate Environmental Performances? An Empirical Study of Italian Listed Firms. Sustainability. 2020; 12(14):5742. https://doi.org/10.3390/su12145742
Chicago/Turabian StyleRubino, Franco, and Francesco Napoli. 2020. "What Impact Does Corporate Governance Have on Corporate Environmental Performances? An Empirical Study of Italian Listed Firms" Sustainability 12, no. 14: 5742. https://doi.org/10.3390/su12145742
APA StyleRubino, F., & Napoli, F. (2020). What Impact Does Corporate Governance Have on Corporate Environmental Performances? An Empirical Study of Italian Listed Firms. Sustainability, 12(14), 5742. https://doi.org/10.3390/su12145742