Accounting researchers say they have uncovered a theoretically possible solution to simplify the tracking of Scope 3 greenhouse gas emissions up and down the value chain using smart contracts and non-fungible tokens on a blockchain platform, easing the carbon reporting process and allowing for increased automation.
Under certain regulations in the European Union, California and other jurisdictions, entities need to report direct emissions from a company’s facilities and vehicles (Scope 1), indirect emissions from the energy used to run its operations (Scope 2), and emissions from upstream suppliers and downstream end users that buy a company’s products (Scope 3), which are generally understood to be the most complex and difficult to track. The accounting researchers—from Auburn University and John Carroll University—believe they have found a technological solution that, theoretically, could make this process easier.
The theoretical solution, outlined in the Accounting Review paper Using Blockchain, Non-Fungible Tokens, and Smart Contracts to Track and Report Greenhouse Gas Emissions, consists of a system that would take the form of a web-based connection that allows companies involved in a value chain to enter their emissions data. This data, with proper permissions, could then be accessed by third parties along the value chain who need to report on not just their emissions but those of their suppliers upstream and their customers downstream.
Emissions rise from smokestacks at the PKN Orlen SA oil refinery in Plock, Poland.
Bartek Sadowski/Bloomberg
More specifically, each component of a tangible asset would have an associated NFT minted by a self-executing smart contract once that component enters the value chain as a blockchain input. This NFT is assigned data showing Scope 1 emissions associated with creating the component; a separate NFT is then minted for the Scope 2 emissions generated to create the component. As these components move through the physical value chain, the corresponding NFTs move between the same firms on the blockchain. When components are combined in manufacturing, smart contracts would “burn” the associated NFTs and mint new ones that represent the updated in-process assets and their aggregated emissions to that point in the value chain. Each one of these updates is recorded onto the blockchain ledger, which the researchers said would be collectively maintained and approved by consortium members.
“This system creates a near real-time cradle-to-grave provenance for tangible assets and their associated emissions as they move through the value chain and allows all emissions to be counted and claimed. Furthermore, all value chain participants can use this system to determine the total emissions associated with a product and their classification as Scope 1, 2, or 3 from their reporting vantage point,” said the paper.
Their system also has the ability to turn on and off different levels of privacy to protect each company’s proprietary information. Participants also can view just the upstream and downstream Scope 3 emissions by categories such as purchased goods or services, transportation and distribution and end-of-life treatment for sold products. When their system is fully built out, according to the paper, any company with authorized access can query the blockchain ledger to see the value of each of their products’ total emissions along all three scopes.
This is in contrast to current practices, which is generally seen as a complex and arduous affair that relies heavily on manual processes.
“In the process of conducting our research, we interviewed one [individual] who works for a large retail company, and he manually enters data from about 4,000 vendors into a spreadsheet and then performs calculations,” said Jenkins, noting that this method is time-intensive and could result in data entry errors and the double-counting of emissions,” said Greg Jenkins, one of the study’s authors.
The paper, however, did not say this technique was a slam dunk. It noted there are many practical hurdles to overcome before such a system could be fully implemented, as well as many risks that must be accounted for. While technologically feasible, experts the researchers ran the concept past pointed to, one, a need for governance and coordination, two, a lack of trust in the blockchain, and, three, blockchain latency. This is on top of other anticipated difficulties such as the challenge of obtaining accurate emissions data to enter into the blockchain in the first place, differences in reporting calendars potentially disrupting coordination, potential exposure of confidential information, and other risks that the technology is meant to address. However, the researchers believe that these challenges can be overcome, and that it will be worth it once they are.
“Notwithstanding the need for future research and refinement, our proposed solution and the prototype we demonstrate can improve the tracking and reporting of value chain emissions. If implemented, it would enable a cradle-tograve provenance for emissions tracking. With its ‘hand-off’ of emissions between firms, the ecosystem allows for tracking emissions as they move between parties, thus alleviating concerns about having to use secondary data sources to estimate upstream and downstream Scope 3 emissions. It would also alleviate concerns around the timing of emissions reporting, by making emissions data available to all value chain participants in near real-time. Finally, the complete and linear provenance of emissions recorded in a verified and secure ledger should help provide a path to higher levels of assurance on emissions disclosures (i.e., reasonable rather than limited assurance),” said the paper’s conclusion.
The emissions tracking technology is protected by a U.S. patent, “System, method, and computer-readable medium for using blockchain, NFTs, and smart contracts to track and report greenhouse gas emissions,” filed in May 2024.
While blockchains have the potential to be very energy intensive themselves, thus creating significant greenhouse gases, Mark Sheldon, another of the study’s authors, noted that specific applications do not necessarily have to be.
“Blockchains use different consensus mechanisms to ensure the various nodes (computers) agree on updates to the underlying ledger. Proof-of-stake, an option to use with our solution, is very energy efficient when compared to proof-of-work which is the one everyone hears about with Bitcoin. In fact, the Ethereum blockchain recently changed from proof-of-work to proof-of-stake and reports to be 99% more energy efficient. There are other factors that also come into play with our specific model, but this is the big one for energy efficiency,” he said in an email.
As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.
Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.
The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.
However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.
WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.
The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.
Untested Legal Mechanism
To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.
White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.
Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.
“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.
USMCA Impact and Carve-Outs
Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).
However, the administration confirmed key targeted exemptions:
Energy products (including oil and natural gas)
Potash and critical minerals
Fish and seafood
Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)
Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.
Canadian Response and Market Reaction
Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.
Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.
Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.
With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.
The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.
The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.
Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.
However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.