| Literature DB >> 33076357 |
Obey Dzomonda1, Olawale Fatoki1.
Abstract
The importance of heeding the environmental sustainability commitment call cannot be underestimated. Laggards in terms of environmental sustainability commitment are likely to face fines and penalties as talks to tighten environmental legislation are now at an advanced stage globally. The current work assessed the link between environmental sustainability commitment and financial performance of firms listed on the Johannesburg Stock Exchange (JSE). The study was quantitative in nature with a case study research design. The longitudinal design was adopted where the researcher collected panel data from 2011-2018. The population of the study included all firms listed on the JSE Responsible Investment Index in South Africa. The sample constituted of 32 firms listed on the Financial Times Stock Exchange FTSE/JSE Responsible Investment Index in South Africa. The researchers employed the panel regression analysis model to analyze the data. Specifically, the Feasible Generalized Least Squares regression model was used in this study. Financial performance was treated as the dependent variable as measured by earnings per share and share price. The independent variables of the study included components of environmental sustainability such as carbon emission reduction and environmental compliance. Control variables such as firm size and liquidity were used in the study. The findings indicated that carbon emission reduction was positively and significantly related to earnings per share and share price. The findings further exhibited that environmental compliance was positively related to earnings per share and share price. It was concluded that firms can enhance their financial performance from environmental investment as all the hypotheses were supported. This study contributes practically towards shaping environmental policies and it also serves as motivation to listed companies that they can enhance both their profitability and market value from environmental investments.Entities:
Keywords: Johannesburg Stock Exchange; South Africa; environmental sustainability commitment; financial performance; firms; sustainable development
Mesh:
Substances:
Year: 2020 PMID: 33076357 PMCID: PMC7602536 DOI: 10.3390/ijerph17207504
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
List of firms listed on the FTSE/JSE Responsible Investment Index.
| Statistic Date | Firm Code | Industry |
|---|---|---|
| 2018/06/18 | 0 | Mining |
| 2018/06/18 | 1 | Mining |
| 2018/06/18 | 2 | Mining |
| 2018/06/18 | 3 | Mining |
| 2018/06/18 | 4 | Banking |
| 2018/06/18 | 5 | Mining |
| 2018/06/18 | 6 | Manufacturing |
| 2018/06/18 | 7 | Health and pharmaceuticals |
| 2018/06/18 | 8 | Retail |
| 2018/06/18 | 9 | Mining |
| 2018/06/18 | 10 | Mining |
| 2018/06/18 | 11 | Financial services |
| 2018/06/18 | 12 | Financial services |
| 2018/06/18 | 13 | Services |
| 2018/06/18 | 14 | Mining |
| 2018/06/18 | 15 | Health and Pharmaceutical |
| 2018/06/18 | 16 | Retail |
| 2018/06/18 | 17 | Health and Pharmaceutical |
| 2018/06/18 | 18 | Insurance and Financial services |
| 2018/06/18 | 19 | Manufacturing |
| 2018/06/18 | 20 | Manufacturing |
| 2018/06/18 | 21 | Telecommunications |
| 2018/06/18 | 22 | Banking |
| 2018/06/18 | 23 | Health and Pharmaceutical |
| 2018/06/18 | 24 | Financial services |
| 2018/06/18 | 25 | Manufacturing |
| 2018/06/18 | 26 | Oil and gas Chemical |
| 2018/06/18 | 27 | Banking |
| 2018/06/18 | 28 | Telecommunications |
| 2018/06/18 | 29 | Retail |
| 2018/06/18 | 30 | Telecommunications |
| 2018/06/18 | 31 | Retail |
Source: Johannesburg Stock Exchange (JSE) [64].
Content Analysis Procedure.
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| Carbon emission reduction | ||||||||
| Reductions in direct emissions (scope 1) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Reductions in indirect emissions (scope 2) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Investments in technology to trap CO2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| Environmental compliance | ||||||||
| Presence of ISO 14001 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Absence of fines and penalties | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Internal environmental policies | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
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| Carbon emission reduction | ||||||||
| Reductions in direct emissions (scope 1) | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
| Reductions in indirect emissions (scope 2) | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| Investments in technology to trap CO2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | 1 | 3 | 1 | 1 | 3 | 2 | 1 | 3 |
| Environmental compliance | ||||||||
| Presence of ISO 14001 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Absence of fines and penalties | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Internal environmental policies | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
Source: The authors’ own compilation.
Descriptive statistics.
| Variable | Obs | Mean | Std. Dev. | Min | Max |
|---|---|---|---|---|---|
| Carbon Emission Reduction | 256 | 2.253906 | 0.942454 | 0 | 3 |
| Environmental Compliance | 256 | 2.785156 | 0.411518 | 0 | 3 |
| EPS | 256 | 1181.074 | 1385.127 | −1764.32 | 12,044.82 |
| Share Price | 256 | 15,695.86 | 14,525.73 | 0 | 86,734 |
| Liquidity | 256 | 1.425118 | 0.9830142 | 0 | 6.8176 |
| Firm Size | 256 | 929,723 | 47,711.28 | 0 | 428,668 |
Correlation Analysis.
| Variables | EPS | Share Price | Emissions | Compliance |
|---|---|---|---|---|
| EPS | 1 | |||
| Share Price | 0.7843 | 1 | ||
| Carbon emission reduction | 0.149 | 0.1442 | 1 | |
| Compliance | 0.1955 | 0.2121 | 0.1008 | 1 |
| Liquidity | 0.0241 | 0.1333 | 0.0777 | 0.0465 |
| Firm size | 0.1721 | −00061 | 0.0688 | −0.1388 |
Model 1 Feasible Generalized Least Squares (FGLS) regression—EPS.
| Cross sectional Time Series FGLS Regression | |||||||
|---|---|---|---|---|---|---|---|
| Coefficients: Generalized Least Squares | |||||||
| Panels: | Heteroskedastic | ||||||
| Correlation: Common AR (1) Coefficient for All Panels (0.0298) | |||||||
| Estimated covariances | = | 8 | Number of obs= | 256 | |||
| Estimated autocorrelation | = | 1 | Number of groups= | 8 | |||
| Estimated coefficients | = | 11 | Time periods= | 32 | |||
| Wald chi2 (10)= | 63.67 | ||||||
| Prob >chi2= | 0.0000 | ||||||
| EPS | Coef. | Std. Err. | z | [95% confi. | Interval] | ||
| Emissions | 284.074 | 85.54287 | 3.32 | 0.001 | 116.4131 | 451.735 | |
| Compliance | 545.7638 | 204.024 | 2.67 | 0.007 | 145.8841 | 945.6435 | |
| Liquidity | 238.6154 | 73.12317 | 3.26 | 0.01 | 95.29661 | 381.9342 | |
| Firm size | 0.0015856 | 0.001781 | 0.89 | 0.373 | −0.0019058 | 0.005077 | |
| _cons | −0.2044149 | 1183.034 | −1.73 | 0.084 | −4362.852 | 274.5548 | |
Model 2 FGSL regression—share price.
| Cross sectional Time series FGLS Regression | |||||||
|---|---|---|---|---|---|---|---|
| Coefficients: Generalized Least Squares | |||||||
| Panels: | Heteroskedastic | ||||||
| Correlation: Common AR (1) Coefficient for All Panels (0.0298) | |||||||
| Estimated covariances | = | 8 | Number of obs= | 256 | |||
| Estimated autocorrelation | = | 1 | Number of groups= | 8 | |||
| Estimated coefficients | = | 11 | Time periods= | 32 | |||
| Wald chi2 (10)= | 75.18 | ||||||
| Prob > chi2= | 0.0000 | ||||||
| Share Price | Coef. | Std. Err. | z | [95% confi. | Interval] | ||
| Emissions | 2807.732 | 939.4598 | 2.99 | 0.003 | 966.4246 | 4649.039 | |
| Compliance | 5493.066 | 2238.029 | 2.45 | 0.014 | 1106.61 | 9879.523 | |
| Liquidity | 1281.386 | 793.505 | 1.61 | 0.106 | −273.8551 | 2836.628 | |
| Firm size | 0.0189978 | 0.087419 | 1.01 | 0.311 | −0.0177356 | 0.0557313 | |
| _cons | 12,391.2 | 12,990.94 | 0.95 | 0.340 | −13070.58 | 3785299 | |