Application of Artificial Intelligence in Carbon Accounting and Firm Performance: A Review Using Qualitative Analysis
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 35, Issue 6
Abstract
The increasing role of the corporate sector in global carbon emissions has raised significant concern among stakeholders, leading to a thorough reassessment of corporate responsibility. Corporations, directly influencing society due to their carbon emissions, acknowledged as externalities, are facing growing pressure to tackle this environmental challenge actively. As a reaction, companies are increasingly implementing carbon accounting and other environmentally conscious practices in line with a broader dedication to comprehensive environmental ethics. The accounting department, tasked with incorporating carbon accounting into non-financial reports alongside regular financial statements, encounters adoption obstacles such as limited awareness, insufficient expertise, unclear guidelines, and a lack of standardized terminology. This paper conducts a comprehensive study to evaluate the feasibility of using artificial intelligence (AI) solutions in carbon accounting and its subsequent effect on firm performance based on the well-established effectiveness of AI in financial reporting and accounting tasks. As of 2021, Saudi Aramco, the foremost emitter of carbon dioxide worldwide, accounts for more than 4 percent of global Greenhouse Gas Emissions. This highlights the pressing necessity for intervention in this industry. Moreover, the study highlights electricity and heat production as the primary global sources of carbon emissions. The research demonstrates a clear link between effective carbon accounting practices and improved firm performance, especially when stakeholders are highly aware of sustainability issues. Nevertheless, the paper highlights the considerable obstacles and the urgent requirement for extensive advancement in AI applications to fully exploit its potential as a significant resolution to the complexities of carbon accounting. The study is limited by the wide range of accounting standards companies use to disclose their environmental impact and a need for more information on using artificial intelligence in carbon accounting. The research highlights the crucial significance of collaborative endeavours in promoting AI solutions to strengthen carbon accounting practices, thereby enhancing corporate sustainability and overall performance.
Authors and Affiliations
Abdulrahman Saad H. Alqahtani
Apoptosis: From Oncogenesis to Oncotherapy
Cell death is critical in maintaining the balance between cell proliferation and elimination in all living organisms. Among the different modalities of regulated cell death, apoptosis remains the most extensively studied...
Advanced News Archiving System with Machine Learning-Driven Web Scraping and AI-Powered Summarization Using T5, Pegasus, BERT and BART Architectures
Data plays a crucial role in the contemporary era of technology, as it is a vital element in the publication of news on the internet or a website. Nevertheless, understanding long reports in order to fully comprehend eve...
Analysis of Land Use and Land Cover Change Detection for Indore District of Malwa Plateau Region Using Supervised Machine Learning
The main aim of this work is to find out LULC classes for the Indore region. For the last seven years, Indore has been crowned the cleanest city in India according to the latest ranking of 2023. In the Indian state of Ma...
A Privacy-Preserving Data Mining Through Comprehensive GNIPP Approach in Sensitive Data Sets
The quick growth of methods for analyzing data and the availability of easily available datasets have made it possible to build a thorough analytics model that can help with support decision-making. In the meantime, prot...
Determining the Predominant Risk Factor of Low Back Pain Among Pre-Menopausal and Post-Menopausal Women
Low back pain is a widely observed and complex illness that substantially influences the quality of life for women between the ages of 40 and 60, both before and after menopause. It is vital to comprehend the primary ris...