| Literature DB >> 34948521 |
Camelia-Daniela Hategan1, Ruxandra-Ioana Pitorac2, Nicoleta-Daniela Milu3.
Abstract
Between the circular economy and corporate social responsibility, there is an ever-closer connection. Non-financial reporting of social responsibility actions is based on the circular economy concept, so reporting contributes to increasing the level of disclosure of circular strategies. In this context, large companies are required to report non-financial information to understand their activities better. The paper's objective is to assess the mandatory non-financial reporting of Romanian companies active in the non-financial sector for 2017-2019. The empirical analysis consisted of creating and awarding an evaluation score to the reports of the companies. An econometric model was tested using a feasible generalized least squares (FGLS) regression to identify the link of the obtained Score with a series of variables representing the characteristics of the companies: Information on a website (I), Foreign ownership (F), Private ownership (P), Listed company (L), Return on assets (ROA), and Return on equity (ROE). Research results highlight a positive correlation between Score and all variables statistically significant in the model. Our study empirically validated the link between non-financial reporting and financial performance. The practical implications for managers can be to focus on improving the quality of non-financial reporting by better presenting the sustainability actions in a circular economy context.Entities:
Keywords: circular economy; corporate social responsibility; mandatory; non-financial information; reporting
Mesh:
Year: 2021 PMID: 34948521 PMCID: PMC8701713 DOI: 10.3390/ijerph182412899
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
The dynamics of the number of companies.
| Year | Beginning of | Inputs | Outputs | End of |
|---|---|---|---|---|
| 2017 | 758 | 74 | 81 | 751 |
| 2018 | 751 | 64 | 61 | 754 |
| 2019 | 754 | 53 | 86 | 721 |
Figure 1The evolution of the number of companies.
Figure 2Distribution of companies by development regions.
Figure 3Activities.
Figure 4The stages and evaluation method the non-financial reporting.
Description of the score.
| Score | Description |
|---|---|
| 1 | lack of non-financial information in separate corporate social responsibility reports/statements or sections in the annual reports; |
| 2 | limited information, the information is mentioned on the website, but is not described in a section of a report or in a separate report; |
| 3 | some information is presented in the annual reports, but with deficiencies, the information is described in insufficient coverage; |
| 4 | almost comprehensive information, a good description of the information, but there is no connection with other sections of the report, this information can be found in separate reports or sections of the annual reports; |
| 5 | complete information, the information presented is comprehensive, with a clear link to other sections of the report. |
Description of indicators.
| Indicator | Code | Description |
|---|---|---|
| Score | S | 1 to 5 |
| Information on a website | I | 1—Yes; 0—No |
| Foreign ownership | F | 1—Yes; 0—No |
| Private ownership | P | 1—Yes; 0—No |
| Listed company | L | 1—Yes; 0—No |
| Return on assets | ROA | Own computation based on financial statements |
| Return on equity | ROE | Own computation based on financial statements |
| Employees | E | Number of employees |
| Website | W | 1—Yes; 0—No |
Source: Own Processing.
Descriptive statistics.
| Variables | Obs. | Mean | Std. Dev. | Min | Max |
|---|---|---|---|---|---|
| S | 1626 | 2.3862 | 1.5399 | 1 | 5 |
| I | 1626 | 0.5043 | 0.5001 | 0 | 1 |
| F | 1626 | 0.5092 | 0.5000 | 0 | 1 |
| P | 1626 | 0.8597 | 0.3473 | 0 | 1 |
| L | 1626 | 0.0405 | 0.1974 | 0 | 1 |
| ROE | 1626 | −0.1815 | 9.1171 | −280.06 | 4.03 |
| ROA | 1626 | 0.0716 | 0.1111 | −0.72 | 0.77 |
| E | 1626 | 1722.83 | 2392.755 | 500 | 23404 |
| W | 1626 | 0.9151 | 0.2787 | 0 | 1 |
Source: Own computation using Stata 17.
Correlation matrix.
| Obs. | S | I | F | P | L | ROE | ROA | E | W |
|---|---|---|---|---|---|---|---|---|---|
| S | 1 | ||||||||
| I | 0.6411 *** | 1 | |||||||
| F | 0.3294 *** | 0.3849 *** | 1 | ||||||
| P | −0.0540 ** | 0.1310 *** | 0.4114 *** | 1 | |||||
| L | 0.2116 *** | 0.0356 | −0.1347 *** | −0.1054 *** | 1 | ||||
| ROE | 0.0091 | −0.0332 | 0.0037 | 0.0443 * | 0.0058 | 1 | |||
| ROA | −0.0207 | 0.0143 | 0.0998 *** | 0.1656 *** | −0.0367 | 0.0882 *** | 1 | ||
| E | 0.2206 *** | 0.1524 *** | 0.0927 *** | −0.1248 *** | 0.0405 | 0.0054 | −0.0644 *** | 1 | |
| W | 0.2570 *** | 0.3072 *** | 0.0718 *** | −0.1039 *** | 0.0626 ** | −0.0128 | −0.1123 *** | 0.0570 ** | 1 |
*—10% level of significance, **—5% level of significance, ***—1% level of significance; Source: own computation using Stata 17.
Results of OLS regression.
| Obs. | R2 | F | I | F | P | L | ROE | ROA | E | W |
|---|---|---|---|---|---|---|---|---|---|---|
| All companies | ||||||||||
| 1626 | 0.8402 | 1045 *** | 1.6273 | 0.5606 | −0.1259 | 1.6055 | 0.0041 | 0.3613 | 0.0008 | 1.1782 |
| (26.74) *** | (9.69) *** | (−1.64) * | (13.99) *** | (4.56) *** | (1.40) | (5.48) *** | (15.12) *** | |||
| 1626 | 0.7979 | 1246 *** | 2.1367 | 0.5380 | 0.8036 | 2.041 | 0.0027 | 0.3873 | - | - |
| (38.93) *** | (9.74) *** | (19.97) *** | (14.80) *** | (1.41) | (1.38) | |||||
| Manufacturing industry | ||||||||||
| 708 | 0.8668 | 1530.5 *** | 1.9851 | 0.4810 | 0.5340 | 1.6687 | 0.0056 | 0.8792 | 0.0001 | 0.2386 |
| (23.11) *** | (5.80) *** | (4.44) *** | (10.39) *** | (11.52) *** | (2.05) ** | (3.17) *** | (2.08) *** | |||
| 708 | 0.8617 | 1926 *** | 2.098 | 0.569 | 0.831 | 1.718 | 0.0059 | 0.784 | - | - |
| (24.07) *** | (7.36) *** | (13.86) *** | (10.26) *** | (12.14) *** | (1.80) * | |||||
*—10% level of significance, **—5% level of significance, ***—1% level of significance; Source: own computation using Stata 17.
Results of FGLS regression.
| Wald CHI2 (10) | I | F | P | L | ROE | ROA | E | W |
|---|---|---|---|---|---|---|---|---|
| All companies | ||||||||
| 1643.5 *** | 1.7116 | 0.6293 | −0.7830 | 1.517 | 0.0057 | −0.0855 | 0.0005 | 0.1987 |
| (27.64) *** | (9.76) *** | (−8.89) *** | (10.94) *** | (1.93) * | (−0.34) | (4.68) *** | (1.92) * | |
| 1593.5 *** | 1.7799 | 0.6648 | −0.8731 | 1.5491 | 0.0061 | −0.1912 | - | - |
| (30.10) *** | (10.30) *** | (−10.07) *** | (11.10) *** | (11.10) *** | (−0.77) | |||
| Manufacturing Industry | ||||||||
| 3433.7 *** | 1.9958 | 0.4814 | 0.5123 | 1.663 | 0.011 | 1.167 | 0.001 | 0.225 |
| (18.93) *** | (4.44) *** | (3.31) *** | (7.83) *** | (1.81) * | (2.07) ** | (4.19) *** | (1.47) | |
| 3250.7 *** | 2.110 | 0.569 | 0.792 | 1.711 | 0.011 | 1.093 | - | - |
| (20.92) *** | (5.24) *** | (8.46) *** | (7.97) *** | (1.79) * | (1.91) ** | |||
*—10% level of significance, **—5% level of significance, ***—1% level of significance; Source: own computation using Stata 17.