Carbon Credits on Blockchain

Patel, Dhiren; Britto, Benita; Sharma, Sanidhya; Gaikwad, Kaustubh; Dusing, Yash; Gupta, Mrinal

doi:10.1109/icitiit49094.2020.9071536

Cited by 18 publications

(6 citation statements)

References 1 publication

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“…Greenhouse Gas (GHG) emissions are the main contributors to climate change globally. Countries aim to reduce their emissions to promote better and cleaner practices (Patel et al, 2020). These changes are caused by the intense use of fossil fuels, which increases the concentration of carbon dioxide in the atmosphere (Ventura, Tosini & Cuoco, 2007).…”

Section: Carbon Creditsmentioning

confidence: 99%

“…The Clean Development Mechanism (CDM) allows emission reduction projects in developing countries to earn certified emission reduction (CER) credits, hereinafter referred to as carbon credits, each equivalent to one ton of CO2. These carbon credits can be traded and sold, and used by industrialized countries to meet part of their emissions reduction targets under the Kyoto Protocol (Patel et al, 2020).…”

mentioning

confidence: 99%

“…If established on a sound economic basis, carbon credit trading can lead countries and industries to environmentally sound practices and reduce air pollutants. The commercialization of carbon credits is currently accompanied by the registration of the Clean Development Mechanism, as stipulated in the first session of the Conference of the Parties to the Kyoto Protocol (Patel et al, 2020).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Análise Bibliométrica Da Produção Científica Sobre Créditos De Carbono (2012-2021)

Dias¹,

Bonfim²,

Matos³

et al. 2023

RGSA

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Na última década, os problemas ambientais cada vez mais graves atraíram muita atenção dos governos e do setor público. O controle de emissão de carbono tornou-se um desafio global para profissionais e pesquisadores. Nesse cenário, o objetivo deste estudo foi realizar uma análise bibliométrica da produção científica sobre Créditos de Carbono, na base de dados Web of Science, no período compreendido de 2012 a 2021. Esta pesquisa classifica-se como descritiva e quantitativa. Os dados foram coletados na base de dados Web of Science mediante acesso ao Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, com recorte temporal entre 01 de janeiro de 2012 a 31 de dezembro de 2021. Foram utilizados para a análise dos dados os softwares RStudio® e VOSviewer® e os pacotes bibliométricos Bibliometrix e Biblioshiny. Como resultados, identificou-se 160 artigos, sendo que as maiores produções científicas acerca da temática são oriundas dos Estados Unidos da América, China, Índia e Brasil. O ano de 2021 possui os documentos mais citados seguidos de 2018. As fontes mais citadas, são: Journal of Cleaner Production seguido de Energy Policy. As principais coocorrências de palavras-chave são: créditos de carbono, modelo, emissões e energia. Com relação à coautoria entre países, têm-se a prevalência de China, Estados Unidos da América e Alemanha. Já os autores mais relevantes, são: Tiwari GN, em primeiro lugar entre todos os autores, seguido por Agrawal S. e Wang Y. Com relação a cocitação entre autores, houve prevalência da(e): UNFCCC; IPCC; Tsao, YC; Agrawal, S.; e, Fearnside, PM Quanto aos estudos mais citados globalmente nos últimos dez anos em âmbito internacional, têm-se: Simin AN (2021); Corante CY (2015); e Agrawal S. (2013). Por fim, conclui-se que este estudo visa aprimorar a base de conhecimento sobre Créditos de Carbono e campo de estudos relacionados.

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Section: Carbon Creditsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Análise Bibliométrica Da Produção Científica Sobre Créditos De Carbono (2012-2021)

Dias¹,

Bonfim²,

Matos³

et al. 2023

RGSA

View full text Add to dashboard Cite

show abstract

“…The unique functions of smart contracts in supply networks have been emphasized in a number of studies, including (Saberi et al 2019; Wang, Yan, and Wang 2021; Liu, Li, and Jiang 2021) [7]. (Ivanov, Dolgui, and Sokolov 2019; Vatankhah Barenji et al 2020; Saberietal.2019) These address a wide range of issues, including traceability, product safety, supply disruption, sustain ability, demand forecasting, scheduling, visibility, tariffs, compliance violation, transparency, certification, audits, and transaction settlements.…”

Section: B Blockchain and Smart Contractsmentioning

confidence: 99%

Ensuring Logistics Integrity: An Ethereum Framework

Gouri Shankar Mishra, Sachin Kumar, Abhishek Sharma

2023

IJRITCC

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In this study, we examine the potential benefits and difficulties of integrating blockchain technology based on Ethereum into logistics management systems. Our goal is to offer a thorough grasp of this technology's influence on the logistics sector by looking at its theoretical underpinnings and real-world implementations. Significant outcomes from our research include greater logistic transparency, real-time updates, increased security, and automation of contractual duties. These findings underscore the need to embrace innovation and create a legislative framework that facilitates the implementation of blockchain technology, with broad ramifications for logistics firms and legislators. Our study adds to the expanding corpus of information on the application of blockchain technology in logistics, offering insightful information to scholars, policymakers, and business professionals.

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“…For the energy-intensive fashion apparel manufacturing industries, Fu et al [38] present blockchain-based models for measuring carbon emissions in the production cycle. Beyond general application models of blockchain-based carbon emissions trading [19,[39][40][41][42], Kim and Huh [18] focus on the governance system, whereas Tang and Tang [20] concentrate on the accounting perspective. An integration model of blockchain-based peer-to-peer trading in the energy and the carbon emission market is given by Hua et al [21].…”

Section: Related Literaturementioning

confidence: 99%

A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework

Mandaroux

Dong

Li³

2021

Sustainability

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The European Union Emissions Trading System (EU ETS) is a major pillar of the European energy policy to reduce greenhouse gas emissions. However, the reportedly pervasive frauds in this market are constraining the beneficial role of the EU ETS. In this conceptual paper, we propose to digitalize the EU ETS by distributed ledger technology (DLT), enabling the verification of authenticity and provenance, proof of ownership, and lifecycle traceability of carbon certificates and assets. Our platform allows verifiable credentials to validate emission allowances, real-time tracking of trading participants’ emissions, and the audit trail reporting of the decentralized trading records. Furthermore, we complement the DLT application concept with a structured interdisciplinary evaluation framework. Our framework and analysis aim to stimulate further interdisciplinary research in this area to support regulators, such as the European Commission, in designing effective digital emissions trading systems.

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Carbon Credits on Blockchain

Cited by 18 publications

References 1 publication

Análise Bibliométrica Da Produção Científica Sobre Créditos De Carbono (2012-2021)

Análise Bibliométrica Da Produção Científica Sobre Créditos De Carbono (2012-2021)

Ensuring Logistics Integrity: An Ethereum Framework

A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework

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