Systematic review on blockchain research for sustainability accounting applying methodology coding and text mining

Suta, Alex; Tóth, Árpád

doi:10.1016/j.clet.2023.100648

Cited by 7 publications

(3 citation statements)

References 64 publications

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“…Generating sufficient profits to cover operational costs is frequently an issue with current carbon trading models. The efficiency, transparency, and robustness of the tokenized system [28] will reduce operational costs for CTM. To be more specific: (i) by leveraging blockchain technology and smart contracts, transactions can be executed more efficiently, minimizing the required time and resources, and this efficiency will translate into cost savings for CTM; (ii) the transparency of the tokenized system not only enhances the trust and integrity of the carbon market, but also reduces the risk of costly disputes and legal challenges, ultimately lowering operational costs for the CTM; (iii) the robustness of the tokenized system can attract more investments and reduce disruptions and security breaches, thus reducing the operational costs for CTM.…”

Section: Carbon Investment: the Proposed Methodology To Finance Clima...mentioning

confidence: 99%

“…The shared and trusted environment of a blockchain would be effective and efficient for carbon accounting [27]. Pairing blockchain with digital accounting tools would improve the measurability and traceability of sustainability infor-mation, allowing corporations to better respond to the need for standardized corporate sustainability reporting [28].…”

Section: Carbon Accounting: the Carbon Footprint Calculatormentioning

confidence: 99%

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Using the Blockchain to Reduce Carbon Emissions in the Visitor Economy

Goean,

Font,

Xiong

et al. 2024

Sustainability

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The visitor economy is responsible for a substantial percentage of the global carbon footprint. The mechanisms used to decarbonize it are insufficient, and the industry is relying on carbon trading with substandard credits that allow businesses to outsource the responsibility to decarbonize. We aim to transform carbon markets, help finance climate investments, and support decarbonization strategies. We identify and define the problem, outline the components and their interactions, and develop a conceptual model to transform carbon markets. The new, blockchain-based Carbon Tokenomics Model rolls out a decentralized database to store, trade, and manage carbon credits, with the goal of enabling sustainable climate finance investment. We outline the criteria needed for an industry-wide carbon calculator. We explain the process needed to increase rigor in climate investments in the visitor economy and introduce a delegated Proof of Commitment consensus mechanism. Our inclusive and transparent model illustrates how to reduce transaction costs and how to build consumer and industry trust, generating much-needed investments for decarbonization.

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Section: Carbon Investment: the Proposed Methodology To Finance Clima...mentioning

confidence: 99%

Section: Carbon Accounting: the Carbon Footprint Calculatormentioning

confidence: 99%

Using the Blockchain to Reduce Carbon Emissions in the Visitor Economy

Goean,

Font,

Xiong

et al. 2024

Sustainability

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“…Tat is, consumer demand forecasting based on BCT would expedite the process of making accurate decisions in the SC. Apart from the demand forecast, Suta and Tóth [11] stated that BCT can contribute to the eforts to cut CO 2 by steadily tracing CO 2 beliefs and aiding apparent and efective CO 2 swap. Te blockchain-based inventory model has been shown to be one of the most critical aspects in cutting CO 2 in the SC.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Inventory System considering Uncertain Carbon Footprints and Pandemic Effects

Mala,

Palanivel,

Priyan

2023

Discrete Dynamics in Nature and Society

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The global supply chain has been severely impacted with the outbreak of COVID-19. The continuous supply of essential products in the post-COVID-19 world is a truly effective and strategic contest. The security and useability of inventory management are a main burden for industries along with the pressure from the government to fulfil the targets of net-zero economy in an uncertain circumstance. One of the most potential keys to these issues is an accurate demand forecasting process by blockchain technology. This article addresses a basic outline for blockchain-based supply chain (SC) and reveals how blockchain technology (BCT) can aid policymakers to cut carbon footprint during and postpandemic time in a fuzzy environment. This study fuzzifies all the carbon factors as intuitionistic triangular fuzzy numbers and uses a signed distance method to defuzzify the model. We consider that the retailer can embrace BCT to enhance demand forecasting. The planned scenario is modeled as an optimization problem to maximize the profit with low carbon emissions and suggest a solution method to solve it. A numerical example is also given to validate the model. We compare the optimal decisions of the SC with and without BCT. We discover that the pandemic and BCT have considerable influences on the optimal results. The study also shows that practitioners should exercise caution when developing operational strategies for maximizing profit with the least amount of carbon emissions during and postpandemic time.

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