Submitted:
15 October 2024
Posted:
16 October 2024
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Abstract
Keywords:
1. Introduction
1.1. Introduction
1.2. Research Gap
1.3. Significance of the Study
1.4. Aims
1.5. Objectives
- To analyze the content and structure of sustainability reports from UK environmentally sensitive businesses about the SDGs.
- To examine the use of corporate websites for the communication of SDG- related information.
- To evaluate the role of social media in disseminating information about the SDGs to stakeholders.
- To identify best practices and areas for improvement in SDG disclosure among these businesses.
1.6. Research Questions
- To what extent, do UK environmentally sensitive organizations report SDG- related information in their sustainability reports?
- What kind of content concerning the SDGs is provided on the business’s corporate sites?
2. Literature Review
2.1. Sustainable Development Goals and Corporate Responsibility
2.2. Disclosure and Dissemination Mechanisms
Sustainability Reports
2.3. Websites
2.4. Social Media
2.5. Case Studies: The Two Oil and Gas Companies Are British Petroleum, also Referred to as BP and Shell UK
2.5.1. British Petroleum (BP) Sustainability Reports
2.5.2. Websites
2.5.3. Social Media
2.6. Shell UK
2.6.1. Sustainability Reports
2.6.2. Websites
2.6.3. Social Media
2.7. Comparative Analysis
2.8. Challenges and Opportunities
2.8.1. Challenges
2.8.2. Opportunities
2.9. Conclusions
3. Methodology
3.1. Research Design
3.2. Study Area
The Population of the Study Area
3.3. Sample and Sampling Techniques
3.4. Data Collection Instruments
3.5. Data Collection Methods
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Amount of Finance Invested:
- -
- Technology
- -
- Profit Growth
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Amount of Money Invested:
- -
- Social Satisfaction
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Level of Investments:
- -
- Shareholder Equity.
-
On the Sustainable Development Goals (SDGs):
- -
- CSR investment
- -
- Compared to renewable energy sources
- -
- Annual Corporate Social Responsibility (CSR) report
- -
- Company website and official documents
- -
- Financial reporting and disclosures to regulators
- -
- Social media platforms and sentiment analysis tools
- -
- Public opinion polls conducted by reputable research organizations or trusted market research firms
- -
- On the Sustainable Development Goals (SDGs) Government progress reports and disclosures
- -
- Environmental assessment and sustainability certification
3.6. Data Analysis Methods
- The SDGs represent change based, Sustainable Development Goals
- Policies on social responsibility, economic development and public opinion are independent variables
- α is the block
- β1, β2, and β3 are the means of each independent variable
- ε represents the error term
- Game theory can be incorporated by using interaction terms or developing a separate regression model that incorporates game-theory parameters to explore the relationships between variables.
4. Chapter Results
4.1. Model Summary
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
| Companies = BP (Selected) | ||||
| 1 | .991a | .982 | .929 | 1.00139E9 |
4.2. ANOVAb,c
| Model | Sum of Squares | df | Mean Square | F | Sig. |
| 1 Regression | 5.522E19 | 3 | 1.841E19 | 18.357 | .170a |
| Residual | 1.003E18 | 1 | 1.003E18 | ||
| Total | 5.623E19 | 4 |
4.3. Coefficientsa,b
| Model | Unstandardized Coefficients | Standardize d Coefficients | t | Sig. | |
| B | Std. Error | Beta | |||
| 1 (Constant) | 3.551E10 | 7.343E9 | 4.836 | .130 | |
| Social_Satisfaction | -15.996 | 25.727 | -.102 | -.622 | .646 |
| ShareHolder_Equity | -.029 | .015 | -.304 | -1.966 | .300 |
| Amount_Invested_F | |||||
| -48.812 | 7.735 | -1.130 | -6.311 | .100 | |
| inance | |||||

4.4. Model Summary
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
| Companies = Shell (Selected) | ||||
| 1 | .528a | .279 | -1.885 | 8.46533E9 |
4.5. ANOVAb,c
| Model | Sum of Squares | df | Mean Square | F | Sig. |
| 1 Regression | 2.769E19 | 3 | 9.231E18 | .129 | .931a |
| Residual | 7.166E19 | 1 | 7.166E19 | ||
| Total | 9.936E19 | 4 |
4.6. Coefficientsa,b
| Model | Unstandardized Coefficients |
Standardized Coefficients |
t | Sig. | |
| B | Std. Error | Beta | |||
| 1 (Constant) | 1.495E10 | 1.466E10 | 1.020 | .494 | |
| Social_Satisfaction | -50.141 | 103.651 | -.552 | -.484 | .713 |
| ShareHolder_Equity | .003 | .077 | .038 | .033 | .979 |
| Amount_Invested_Fi | |||||
| -.002 | .442 | -.004 | -.005 | .997 | |
| nance | |||||
4.6.1. Model Summary
4.6.2. ANOVA

4.6.3. Table of Coefficients
4.7. Correlations
| Compani es | Years | Social_Sa tisfaction | ShareHol der_Equit y | CSR | Amount_I nvested_F inance | ||
| Companies | Pearson Correlation | .000 | .627 | .560 | .342 | .326 | |
| Sig. (2-tailed) N |
10 | 1.000 10 |
.052 10 |
.092 10 |
.334 10 |
.357 10 |
|
| Years Pearson Correlation |
.000 | 1 | .310 | -.066 | .277 | .320 | |
| Sig. (2-tailed) | 1.000 | .383 | .856 | .438 | .367 | ||
| N | 10 | 10 | 10 | 10 | 10 | 10 | |
| Social_Satisfacti Pearson on Correlation |
.627 | .310 | 1 | .693* | .017 | .188 | |
| Sig. (2-tailed) | .052 | .383 | .026 | .962 | .602 | ||
| N | 10 | 10 | 10 | 10 | 10 | 10 | |
| ShareHolder_Equ Pearson ity Correlation |
.560 | -.066 | .693* | 1 | .044 | .096 | |
| Sig. (2-tailed) | .092 | .856 | .026 | .904 | .791 | ||
| N | 10 | 10 | 10 | 10 | 10 | 10 | |
| CSR Pearson Correlation |
.342 | .277 | .017 | .044 | 1 | .109 | |
| Sig. (2-tailed) | .334 | .438 | .962 | .904 | .763 | ||
| N | 10 | 10 | 10 | 10 | 10 | 10 | |
| Amount_Invested Pearson _Finance Correlation |
.326 | .320 | .188 | .096 | .109 | 1 | |
| Sig. (2-tailed) | .357 | .367 | .602 | .791 | .763 | ||
| N | 10 | 10 | 10 | 10 | 10 | 10 | |
- Companies indicate a sturdy superb correlation with Social_Satisfaction (0.627) and ShareHolder_Equity (0.560) and a slight acceptable correlation with CSR (0.342) and Amount_Invested_Finance (0.326). The correlation with Years is negligible (0.000).
- Years does not display a widespread correlation with any of the opposite variables, as the correlation coefficients are near 0 and the p-values are not good sized.
- Social_Satisfaction presentations a robust, excellent correlation with ShareHolder_Equity (0.693) and a slight high-quality correlation with Companies (0.627). However, it has a weak, advantageous correlation with CSR (0.017) and a negligible correlation with Amount_Invested_Finance (0.188).
- ShareHolder_Equity shows a sturdy tremendous correlation with Social_Satisfaction (0.693) and a slight excellent correlation with Companies (0.560). However, it has a susceptible superb correlation with CSR (0.044) and negligible correlation with Amount_Invested_Finance (0.096).
- CSR has a moderate high-quality correlation with Companies (0.342) and Years (0.277) and negligible correlations with the other variables.
- Amount_Invested_Finance has a moderate advantageous correlation with Companies (0.326) and Years (0.320) and negligible correlations with the alternative variables.
4.8. SDG Performance of BP and Shell on Their Reputation and Business Operations in the UK
5. Investigation: Discussion of the Results
5.1. Discussion of the Results
- Null hypothesis (H0): There is no significant relationship between the selected predictors (amount_invested_finance, shareholder_equity, and social_satisfaction) and the dependent variable (CSR) of both BP and Shell companies
- Alternative Hypothesis (H1): There is a significant relationship between the selected predictors and the dependent variable for the two firms.
5.1.1. The BP Company
- Model summary: The R-square value of .982 indicates that the model accounts for 98.2% of the variation in CSR for BP. Therefore, we reject the null hypothesis and accept the alternative hypothesis of BP, which shows a significant relationship between the selected predictors and CSR.
- ANOVA: the p-value of .170 for the F-statistic indicates that the overall model may not be statistically significant at the usual alpha level of .05. We there-fore could not reject the null hypothesis and conclude that the overall sample may not be statistically significant for BP.
- Coefficients: The P-values of the predictors for BP were .646, .300, and .100, respectively. These p-values indicate that the predictors may not have a statistically significant effect on the dependent variable at the 5% significance level.
5.1.2. Shell Companies
- Model summary: The R-square value of .279 indicates that the model accounts for 27.9% of the variation in CSR for the shell. The adjusted R- square value is -1.885, which is unusual and may indicate potential problems with the fit of the model. Therefore, due to insufficient model adequacy, we cannot accept or reject Shell’s alternative hypothesis.
- ANOVA: The P-value of .931 for the F-statistic indicates that the overall model is not statistically significant for Shell. We therefore could not reject the null hypothesis and conclude that the overall sample may not be statistically significant for Shell.
- Coefficients: The P-values of the predictors for shell were .713, .979, and .997, indicating that the predictors probably did not have a statistically significant effect on the dependent variable at the 5% significance level. A survey of large UK businesses committed to the Sustainable Development Goals (SDGs) provides valuable insights into the impact of the private sector on the implementation of the 2030 Agenda Zabihollah, et al. (2023) provides a new tool and vital vocabulary for managing corporate conversations on Twitter, and focus on main social aspects of the SDGs. This study provides a comprehensive and near-real-time visualization of corporate engagement with the SDGs, shedding light on the dispersion and impact of global carbon emission regimes from MNCs on Shell's performance and future strategies, as examined by Lewis (2023).
5.2. Profitability Comparison
5.3. Hypotheses Assessment Summary Table
| Hypotheses | Decision |
| Hi: There is a significant relationship between financial investment, | Rejected |
| shareholder equity, and life satisfaction with corporate social responsibility (CSR) performance for the selected BP company. |
|
| H2: There is a significant relationship between financial investment, social satisfaction, and shareholder equity with corporate social responsibility (CSR) performance for the selected Shell company. |
Rejected |
| H3: There is a significant relationship between the amount of financial investment and corporate social responsibility (CSR) performance across both BP and Shell companies. |
Rejected |
| H4: There is a significant relationship between the level of social satisfaction and corporate social responsibility (CSR) performance across both BP and Shell companies. |
Rejected |
| H5: There is a significant relationship between shareholder equity and corporate social responsibility (CSR) performance across both BP and Shell companies. |
Rejected |
| H6: There are significant differences in the predictors' effects on corporate social responsibility (CSR) performance between BP and Shell companies, indicating unique factors influencing CSR performance in each company. |
Rejected |
| H7: There is a significant relationship SDG 7 and Shell (Affordable and Clean Energy) |
Accepted |
| H8: There is a significant relationship Shell SDG 13 (Climate Action). | Accepted |
| H9: BP is committed to becoming a passive entity by 2050 or sooner and is focused on SDG 7. |
Accepted |
| BP is committed to becoming a passive entity by 2050 or sooner and is focused on SDG 12 (responsible management and product development), |
Accepted |
6. Conclusions
6.1. SDG 7: Affordable and Clean Energy
6.2. SDG 12: Responsible Consumption and Production
6.3. SDG 13: Climate Action
6.4. Recommendations
- Align progress disclosures with the SDGs to strengthen the link between corporate performance indicators and disclosures (Luis, 2023).
- Examine the impact of sustainable finance for organizational learning (SFOL) to enhance sustainable organizational performance.
- Herenia, Gutiérrez-Ponce., Sigit, Arie, Wibowo. (2023) explore environmental and social governance (ESG) disclosures across industries through different processes to determine best practices.
- Vishwa, Naik, Raiker., Tania, Shirodkar. (2023) To better understand the public discourse, look at the sectors’ discussions about the SDGs through platforms like Twitter, mainly focusing on their social and environmental impact.
- Graziella, Sicoli., Giovanni, Bronzetti., Marcantonio, Ruisi., Maurizio, Rija. (2024) examine the alignment of companies’ online sustainability communications with their real-world activities and ensure accuracy and clarity.
- Analyze the impact of emissions regulations on multinational companies and develop strategies to reduce their emissions. New technologies and green production systems will also be used.
- Integrating priority analysis with other sustainability assessment systems
- Comparative priority analysis results in projects and projects.
- Examine the impact of the SDGs on sustainability reporting for businesses.
- Zabihollah, Rezaee., Saeid, H., Nick, J., Rezaee., Ehsan, Poursoleyman. (2023) examine how SRA affects firms’ financial performance and stakeholder communication.
- Provision of resources to enhance and demonstrate environmental activities.
- Inputs for future Global Reporting Initiative (GRI) guidance (Omar et al.., Helena, 2015).
Author Contributions
Funding
Conflicts of Interest
List of Acronyms
| BP | British Petroleum |
| SDGs | Sustainable Development Goals |
| SRs | Sustainability Reports |
| ESG | Environmental, Social, and Governance |
| GRI | Global Reporting Initiative |
| IR | Integrated Reporting |
| TCFD | Task Force on Climate-related Financial Disclosures |
| NGOs | Non-Governmental Organizations CCUS: Carbon Capture, Utilization, and Storage CSR: Corporate Social Responsibility |
| UN | United Nations |
| KPI | Key Performance Indicator |
| UK | United Kingdom |
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