| Literature DB >> 34393619 |
Abstract
In this research, we examine empirically the impact of sustainable supply chain practices on financial performances, considering the case of Indian firms. Here, we use a sample of 25 Indian firms listed for their sustainability performances in the Thomson Reuters Environmental, Social and Governance (ESG) scores. The sustainability performance data have been accessed from the Bloomberg terminal, where the overall sustainability performance on ESG is measured as a discounted score on ESG considering various controversies on ESG reported for the firm. And for the study, we associate financial data using the profit indicators of firms. We perceive that the sustainable supply chain practices considering environmental, social and governance performances may not positively impact the financial performance measured by the Return on Asset (ROA) and Return on Equity (ROE), during the considered period of five years for the study. We construct the empirical model and use Partial Least Square (PLS) regression modeling to analyze the results. The study can be further extended for many Indian firms and for firms across different developing economies, as well. The major implications of this research are to observe for firms and their supply chains whether the implementation of Environmental, Social and Governance (ESG) practices can help them in achieving financial benefits, along with other competitive advantages. The research is built on the concept and theory of ecological modernization, which suggests for the economic benefits of environmentalism.Entities:
Keywords: Corporate social responsibility; ESG scores; Empirical study; Financial performances; Sustainability performances
Year: 2021 PMID: 34393619 PMCID: PMC8349707 DOI: 10.1007/s10668-021-01717-1
Source DB: PubMed Journal: Environ Dev Sustain ISSN: 1387-585X Impact factor: 4.080
Recent literature on sustainability ratings and financial performances
| Sl. No | Author(s) | Objectives | Findings | Limitations | Future directions |
|---|---|---|---|---|---|
| 1 | Folger-Laronde et al. ( | Observed the differences and relationships between financial returns of exchange-traded funds and their Eco-fund ratings during the COVID-19 pandemic-related financial market crash | Perceived that higher levels of sustainability performance of exchange-traded funds need not safeguard investments from financial losses in situations of a severe market downturn | The research considers financial performances during a market downturn only | Suggested that additional variables can be explored while considering sustainability and financial performance of investments |
| 2 | Garcia and Orsato ( | Investigated the relationship among environmental, social, and governance ratings and financial performance of firms from emerging and developed countries considering institutional differences | Pointed that there is some prevalence in the institutional environment in relation to the financial and ESG performances of firms | Considered a short period of 8 years for the analysis | Noticed the need for extending the period of study and for incorporating recent data of variables involved |
| 3 | Nekhili et al. ( | Examined the impact and moderating roles of different types of employee board representation on environmental, social, and corporate governance performance | Observed that labor board representatives act in a reverse direction to employee shareholder board representatives and the same focuses solely on bettering social performances and reducing environmental and corporate governance performances | Although different databases for ESG have common dimensions, they do not converge | Suggested for the validation of the study results by means of a different database of ESG |
| 4 | Ouni et al. ( | Observed the effect of gender diversity on the board of directors in consideration of the financial performances and also observed the mediating role of environmental, social, and governance orientation in this relationship | Pointed that gender diversity in turnover has effects on the financial performance of firms | The study does not show information regarding a threshold below and above, which the effects may not manifest or reversed, respectively | Recommended the use of critical mass theory and group heterogeneity theory to explore further on the topic |
| 5 | Dorfleitner et al. ( | Observed the relationship between corporate social performance and corporate financial performance of firms based on environmental, social, and governance ratings | Commented that the inclusion of ESG controversies score in portfolio selection enables a modest implementation for quantification and evaluation to avoid any ESG-based scandal | Pointed that there can be some other hidden issues and opportunities for investors to benefit from ESG | Commented on future opportunities for investors, who are interested in ESG performances to reward better scoring and to gain higher returns |
| 6 | Albitar et al. ( | Observed the effect of environmental, social and governance disclosure on firm performance considering the introduction of integrated reporting | Observed a positive and significant relationship between ESG scores and financial performances for the sample firms considered for study | The study was focused on UK firms and cannot be generalized for other developing countries | Provided future directions of research for considering the industry level firm performances, while investigating the roles of gender diversity and board size |
| 7 | García et al. ( | Developed a rough set model to relate ESG scores to popular corporate financial performance measures | Suggested that industry sector and financial variables can serve to observe large differences among firms related to ESG | The model is less significant for explaining small differences in ESG scores | Recommended for including additional financial and non-financial variables and large dataset for generalizability of results |
| 8 | Uyar et al. ( | Explored whether board characteristics can lead to greater corporate social responsibility (CSR) performances and observed whether CSR performances can boost financial performances of firms | Observed that CSR performances do not enhance financial performances of firms | The study considered only hospitality and tourism firms for analysis | Pointed on the need of further research by considering country level indicators, instead of firm level indicators for firms to perform CSR |
| 9 | Nirino et al. ( | Explored the impact of corporate controversies on financial performances and observed the positive moderating role of ESG practices on the above relation | Pointed that ESG principles do not mitigate the negative effects of controversies from the viewpoint of shareholders | The study focuses on European companies only | Pointed the need for understanding the managerial choices and the antecedents of it to study the ESG principles |
| 10 | Broadstock et al. ( | Examined the role of ESG performance in the course of market-wide financial crisis | Pointed that high ESG performance portfolios mostly leave behind low-ESG portfolios | The study was confined for the period of COVID-19 global pandemic crisis | Commented on the need of interpreting the ESG performance as an indicator of future stock performances and crisis mitigation ways |
Fig. 1Proposed model
Descriptive Statistics
| Scores | N | Minimum | Maximum | Mean | Std. deviation |
|---|---|---|---|---|---|
| ESG | 125 | 25.5617647 | 85.8224508 | 58.265848949 | 14.9517397753 |
| Resource | 125 | 14.5390071 | 99.1749175 | 62.908585263 | 21.8945703345 |
| Emissions | 125 | 4.9450549 | 99.5192308 | 63.369013642 | 26.1182946967 |
| Environmental Innovation | 125 | 0.2673797 | 99.6721312 | 49.340285379 | 33.8257557857 |
| Workforce | 125 | 5.1020408 | 99.5049505 | 57.148833684 | 23.2345642723 |
| Human Rights | 125 | 16.2721894 | 99.0291262 | 63.134537471 | 27.6675940311 |
| Community | 125 | 18.0769231 | 99.6183206 | 63.695823124 | 26.4144470632 |
| Product Responsibility | 125 | 5.4945055 | 99.6721312 | 59.465358413 | 28.2480656332 |
| Management | 125 | 6.2500000 | 99.5192308 | 54.786619906 | 25.1592868520 |
| Shareholders | 125 | 0.5555556 | 99.5098039 | 57.352850490 | 30.3110727110 |
| CSR Strategy | 125 | 0.9615385 | 99.4047619 | 58.820571337 | 27.3369246822 |
| ESG Combined | 125 | 23.003795 | 80.066592 | 48.07402518 | 13.549429319 |
| ESG Controversies | 125 | 2.1428571 | 71.4285714 | 42.840775485 | 24.2213846562 |
| ROA | 125 | 0.060444 | 2.975184 | 1.18020342 | 0.670518185 |
| ROE | 125 | 0.149351 | 14.633205 | 2.85318138 | 2.495452000 |
| Valid N (list wise) | 125 |
Correlation matrix
| ESG | Resource | Emissions | Environmental Innovation | Workforce | Human Rights | Communit y | Product Responsi bilily | Management | Shareholders | CSR Strate gy | ESG Combinned | ESG Controversies | ROA | ROE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ESG | 1 | ||||||||||||||
| Resource | 0.841 | 1 | |||||||||||||
| Emissions | 0.788 | 0.649 | 1 | ||||||||||||
| Environmental Innovation | 0.465 | 0.451 | 0.414 | 1 | |||||||||||
| Workforce | 0.726 | 0.559 | 0.544 | 0.139 | 1 | ||||||||||
| Human Rights | 0.646 | 0.633 | 0.601 | 0.499 | 0.414 | 1 | |||||||||
| Community | 0.571 | 0.506 | 0.386 | 0.023 | 0.329 | 0.265 | 1 | ||||||||
| Product Responsibility | 0.785 | 0.642 | 0.58 | 0.365 | 0.586 | 0.503 | 0.396 | 1 | |||||||
| Management | 0.287 | 0.067 | − 0.023 | − 0.389 | 0.175 | − 0.182 | 0.276 | 0.172 | 1 | ||||||
| Shareholders | 0.127 | 0.092 | 0.109 | 0.053 | − 0.0 10 | 0.161 | − 0.082 | 0.063 | − 0.243 | 1 | |||||
| CSR Strategy | .668 | .592 | .565 | 0.558 | .311 | 0.475 | .355 | .355 | 0.036 | 0.051 | 1 | ||||
| ESG Combined | .553 | .426 | .407 | 0.243 | .349 | 0.331 | .29 1 | 0.39 | 0.202 | 0.216 | 0.443 | 1 | |||
| ESG Controversies | − 0.363 | − 0.347 | − 0.391 | − 0.163 | − 0.308 | − 0.285 | − 0.215 | − 0.327 | − 0.0 14 | 0.07 | − 0.195 | 0.531 | 1 | ||
| ROA | − 0.208 | − 0.267 | − 0.252 | − .28 1 | − 0.181 | − .402 | 0.209 | − 0.217 | 0.206 | − 0.119 | − 0.162 | − 0.088 | 0.092 | 1 | |
| ROE | − 0.131 | − 0.155 | − 0.159 | − 0.132 | − 0.037 | − 0.325 | 0.002 | − 0.09 | 0.096 | − 0.053 | − 0.181 | − 0.139 | 0.005 | 0.643 | 1 |
Measures of outer loadings, reliability, composite reliability, and AVE
| Latent variables | Indicators | Outer loadings | Indicator reliability | Composite reliability | AVE |
|---|---|---|---|---|---|
| Environment | Emission | 0.876 | 0.767376 | 0.856 | 0.668 |
| Environmental Innovation | 0.665 | 0.442225 | |||
| Resource | 0.892 | 0.795664 | |||
| Social | Community | 0.623 | 0.388129 | 0.838 | 0.567 |
| Human Rights | 0.724 | 0.524176 | |||
| Product Responsibility | 0.852 | 0.725904 | |||
| Workforce | 0.793 | 0.628849 | |||
| Governance | CSR Strategy | 0.92 | 0.8464 | 0.516 | 0.335 |
| Management | 0.355 | 0.126025 | |||
| Shareholders | 0.184 | 0.033856 |
R square matrix
| Indicators | R Square | R Square adjusted |
|---|---|---|
| ESG combined | 0.322 | 0.305 |
| ESG controversies | 0.175 | 0.154 |
| ESG score | 0.958 | 0.957 |
| ROA | 0.046 | 0.022 |
| ROE | 0.031 | 0.007 |
Fig. 2PLS model and results
Path coefficient matrix
| Indicators | Original Sample (O) | Sample Mean (M) | Standard Deviation (STDEV) | t Statistics (|O/STDEV|) | p Values |
|---|---|---|---|---|---|
| ESG combined_—> ROA | 0.166 | 0.161 | 0.37 | 0.449 | 0.654 |
| ESG combined_—> ROE_ | − 0.395 | − 0.363 | 0.421 | 0.937 | 0.349 |
| ESG controversies—> ROA | − 0.121 | − 0.115 | 0.359 | 0.336 | 0.737 |
| ESG controversies—> ROE | 0.284 | 0.259 | 0.405 | 0.701 | 0.483 |
| ESG score_—> ROA | − 0.343 | − 0.337 | 0.328 | 1.048 | 0.295 |
| ESG score_—> ROE | 0.191 | 0.188 | 0.34 | 0.56 | 0.576 |
| Environment—> ESG combined_ | 0.038 | 0.031 | 0.147 | 0.259 | 0.795 |
| Environment—> ESG controversies | − 0.3 | − 0.309 | 0.156 | 1.924 | 0.055 |
| Environment—> ESG score | 0.274 | 0.277 | 0.035 | 7.898 | 0.000 |
| Governance—> ESG combined_ | 0.382 | 0.381 | 0.103 | 3.717 | 0.000 |
| Governance—> ESG controversies | 0.124 | 0.126 | 0.108 | 1.156 | 0.248 |
| Governance—> ESG score | 0.291 | 0.284 | 0.034 | 8.486 | 0.000 |
| Social—> ESG combined | 0.231 | 0.232 | 0.139 | 1.666 | 0.096 |
| Social—> ESG controversies | -0.208 | − 0.204 | 0.155 | 1.336 | 0.182 |
| Social—> ESG score | 0.55 | 0.55 | 0.035 | 15.91 | 0.000 |
Summary of hypothesis testing
| Hypothesis | Relations | Standard Beta | Standard Error | t value | Decision | 5.00% | 95.00% |
|---|---|---|---|---|---|---|---|
| Hypothesis 4b | ESG combined– > ROA | 0.161 | 0.37 | 0.449 | not supported | −0.428 | 0.744 |
| Hypothesis 4b | ESG combined– > ROE_ | −0.363 | 0.421 | 0.937 | not supported | −1.037 | 0.375 |
| Hypothesis 4c | ESG controversies– > ROA | −0.115 | 0.359 | 0.336 | not supported | −0.688 | 0.465 |
| Hypothesis 4c | ESG controversies– > ROE_ | 0.259 | 0.405 | 0.701 | not supported | −0.47 | 0.89 |
| Hypothesis 4a | ESG score– > ROA | −0.337 | 0.328 | 1.048 | not supported | −0.856 | 0.194 |
| Hypothesis 4a | ESG score– > ROE_ | 0.188 | 0.34 | 0.56 | not supported | −0.388 | 0.734 |
| Hypothesis 2a | Environment– > ESG combined_ | 0.031 | 0.147 | 0.259 | not supported | −0.209 | 0.277 |
| Hypothesis 3a | Environment– > ESG controversies | −0.309 | 0.156 | 1.924 | supported | −0.578 | −0.041 |
| Hypothesis 1a | Environment– > ESG score_ | 0.277 | 0.035 | 7.898 | supported | 0.219 | 0.332 |
| Hypothesis 2b | Governance– > ESG combined_ | 0.381 | 0.103 | 3.717 | supported | 0.207 | 0.547 |
| Hypothesis 3b | Governance– > ESG controversies | 0.126 | 0.108 | 1.156 | not supported | -0.054 | 0.303 |
| Hypothesis 3a | Governance– > ESG score_ | 0.284 | 0.034 | 8.486 | supported | 0.225 | 0.34 |
| Hypothesis 2c | Social– > ESG combined_ | 0.232 | 0.139 | 1.666 | supported | 0.008 | 0.461 |
| Hypothesis 2a | Social– > ESG score_ | 0.55 | 0.035 | 15.91 | supported | 0.495 | 0.608 |
*: Critical t-values 1.96* (p < 0.05), 2.58** (p < 0.05)