Corporate Social Responsibility (CSR) Concerning Sustainability: Projecting Water Pollution and Articulating Emerging Technologies Fulfilling SDG 14 (Life Below Water)
Keywords:
CSR, Water Pollution, Legal Aspects, SDG 14, Emerging TechnologiesAbstract
The company’s responsibility for the social, environmental, and economic effects of its operations is known as corporate social responsibility, or CSR. The UN Global Compact, the OECD Guidelines for Multinational Enterprises, the UN Guiding Principles on Business and Human Rights, the fundamental ILO declaration on multinational enterprises and social policy, and ISO all articulate this responsibility. More specifically, corporate social responsibility (CSR) includes moral business conduct, employee-centered human resource management, responsible use of natural resources, protection of the environment and climate, sincere ties to local communities and accountability across the global supply chain. As humanity struggles with the myriad challenges posed by ocean pollution, the convergence of technological innovation, metaverse technologies, and evolving legal-policy frameworks offers an unprecedented opportunity to reshape our relationship with the aquatic environment. This study expresses the concerns of water pollution, SDG 14 and responsibility of corporate sector for sustainability.
References
Lubchenco J, Camp EF, Vargas CA, Belhabib D, Anna Z, Amon DJ, Harden-Davies H. Priorities for progress towards Sustainable Development Goal 14 ‘Life below water’. Nat Ecol Evol. 2023; 7(10): 1564–1569.
Gambín AF, Angelats E, González JS, Miozzo M, Dini P. Sustainable marine ecosystems: deep learning for water quality assessment and forecasting. IEEE Access. 2021; 9: 121344–121365.
Singh B. Legal Dynamics Lensing Metaverse Crafted for Videogame Industry and E-Sports: Phenomenological Exploration Catalyst Complexity and Future. Journal of Intellectual Property Rights Law (JIPRL). 2024; 7(1): 8–14.
Baker S, Constant N, Nicol P. Oceans justice: Trade-offs between sustainable development goals in the Seychelles. Mar Policy. 2023; 147: 105357.
Serodio J, Paterson DM. Role of Microphytobenthos in the Functioning of Estuarine and Coastal Ecosystems. In Life Below Water. Cham: Springer International Publishing; 2022; 894–906.
Braga HO, Musiello-Fernandes J. Types of Fisheries and Their Impact on Sustainable Development Goals. In Life Below Water. Cham: Springer International Publishing; 2022; 1075–1084.
Rossi S. Reinventing Marine Exploitation—New Mariculture, Energy and Marine Products Approach. In SDG 14: Life Below Water: A Machine-Generated Overview of Recent Literature. Cham: Springer International Publishing; 2022; 327–429.
Shivaprakash KN, Swami N, Mysorekar S, Arora R, Gangadharan A, Vohra K, Kiesecker JM, et al. Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India. Sustainability. 2022; 14(12): 7154.
Singh B. Blockchain Technology in Renovating Healthcare: Legal and Future Perspectives. In Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications. IGI Global; 2023; 177–186.
Andriamahefazafy M, Touron-Gardic G, March A, Hosch G, Palomares MLD, Failler P. Sustainable development goal 14: To what degree have we achieved the 2020 targets for our oceans? Ocean Coast Manag. 2022; 227: 106273.
Winther JG, Dai M, Rist T, Hoel AH, Li Y, Trice A, Whitehouse S. Integrated ocean management for a sustainable ocean economy. Nat Ecol Evol. 2020; 4(11): 1451–1458.
Singh B. Federated Learning for Envision Future Trajectory Smart Transport System for Climate Preservation and Smart Green Planet: Insights into Global Governance and SDG-9 (Industry, Innovation and Infrastructure). National J Environ Law. 2023; 6(2): 6–17.
Sardá R, Pogutz S, de Silvio M, Allevi V, Saputo A, Daminelli R, Perrini F. Business for ocean sustainability: Early responses of ocean governance in the private sector. Ambio. 2023; 52(2): 253–270.
Novaglio C, Bax N, Boschetti F, Emad GR, Frusher S, Fullbrook L, Fulton EA, et al. Deep aspirations: towards a sustainable offshore blue economy. Rev Fish Biol Fish. 2022; 32(1): 209–230.
Sharma A, Singh B. Measuring Impact of E-commerce on Small Scale Business: A Systematic Review. Journal of Corporate Governance and International Business Law (JCGIBL). 2022; 5(1).
Landrigan PJ, Stegeman JJ, Fleming LE, Allemand D, Anderson DM, Backer LC, Rampal P, et al. Human health and ocean pollution. Ann Glob Health. 2020; 86(1): 151.
Singh B. Understanding Legal Frameworks Concerning Transgender Healthcare in the Age of Dynamism. Electron J Soc Strategic Stud. 2022; 3: 56–65.
Santoro F, Selvaggia S, Scowcroft G, Fauville G, Tuddenham P. Ocean literacy for all: a toolkit. Vol. 80. UNESCO Publishing; 2017.
Rossi S. Fishing and Overfishing-Sustainable Harvest of the Sea. In SDG 14: Life Below Water: A Machine-Generated Overview of Recent Literature. Cham: Springer International Publishing; 2022; 207–325.
Singh B. Relevance of Agriculture-Nutrition Linkage for Human Healthcare: A Conceptual Legal Framework of Implication and Pathways. Justice and Law Bulletin (JLB). 2022; 1(1): 44–49.
Brodie Rudolph T, Ruckelshaus M, Swilling M, Allison EH, Österblom H, Gelcich S, Mbatha P. A transition to sustainable ocean governance. Nat Commun. 2020; 11(1): 3600.
Nayak PK, Dias ACE, Pradhan SK. Traditional Fishing Community and Sustainable Development. Life Below Water. Cham: Springer; 2020; 1–18.
Singh B. COVID-19 Pandemic and Public Healthcare: Endless Downward Spiral or Solution via Rapid Legal and Health Services Implementation with Patient Monitoring Program. Justice and Law Bulletin (JLB). 2022; 1(1): 1–7.
Parmentola A, Petrillo A, Tutore I, De Felice F. Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs). Bus Strategy Environ. 2022; 31(1): 194–217.
Rossi S. Science Monitoring and Scientific Outreach. In: SDG 14: Life Below Water: A Machine-Generated Overview of Recent Literature. Cham: Springer; 2022; 535–596.
Singh B. global Science and Jurisprudential Approach Concerning Healthcare and Illness. Indian Journal of Health and Medical Law (IJHML). 2020; 3(1): 7–13.
O'Hagan AM, Paterson S, Le Tissier M. Addressing the tangled web of governance mechanisms for land-sea interactions: Assessing implementation challenges across scales. Mar Policy. 2020; 112: 103715.
Stuchtey MR, Vincent A, Merkl A, Bucher M, Haugan PM, Lubchenco J, Haugan PM, et al. Ocean solutions that benefit people, nature and the economy. In The Blue Compendium: From Knowledge to Action for a Sustainable Ocean Economy. Cham: Springer International Publishing; 2023; 783–906.
Singh B. Profiling Public Healthcare: A Comparative Analysis Based on the Multidimensional Healthcare Management and Legal Approach. Indian Journal of Health and Medical Law (IJHML). 2019; 2(2): 1–5.
Potgieter T. Oceans economy, blue economy, and security: notes on the South African potential and developments. J Indian Ocean Reg. 2018; 14(1): 49–70.
Li W. Employing Earth Observations and Artificial Intelligence to Address Key Global Environmental Challenges in Service of the SDGs. Doctoral dissertation. California: Chapman University; 2019.
Tao H, Jawad AH, Shather AH, Al-Khafaji Z, Rashid TA, Ali M, Yaseen ZM, et al. Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters. Environ Int. 2023; 175: 107931.
Reusch TB, Dierking J, Andersson HC, Bonsdorff E, Carstensen J, Casini M, Zandersen M, et al. The Baltic Sea as a time machine for the future coastal ocean. Sci Adv. 2018; 4(5): eaar8195.
Al Duhayyim M. Modified Cuttlefish Swarm Optimization with Machine Learning-Based Sustainable Application of Solid Waste Management in IoT. Sustainability. 2023; 15(9): 7321.
Kumar D, Chauhan YK, Pandey AS, Srivastava AK, Kumar V, Alsaif F, Alsharif MH, et al. A Novel Hybrid MPPT Approach for Solar PV Systems Using Particle-Swarm-Optimization-Trained Machine Learning and Flying Squirrel Search Optimization. Sustainability. 2023; 15(6): 5575.
Katipoğlu OM, Yeşilyurt SN, Dalkılıç HY, Akar F. Application of empirical mode decomposition, particle swarm optimization, and support vector machine methods to predict stream flows. Environ Monit Assess. 2023; 195(9): 1108.
Katipoğlu OM, Sarıgöl M. Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye. Environ Sci Pollut Res. 2023; 30(16): 46074–46091.
Alsubai S, Dutta AK, Alkhayyat AH, Jaber MM, Abbas AH, Kumar A. Hybrid deep learning with improved Salp swarm optimization based multi-class grape disease classification model. Comput Electr Eng. 2023; 108: 108733.
