|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Cryptocurrency News Articles
Bitcoin Mining Bans Can Backfire on Climate Conscious Governments, a New Research Finds
Nov 02, 2024 at 03:13 am
The intensive energy usage of the Bitcoin network could tempt governments to ban mining due to environmental concerns. A new research paper indicates that could be a mistake, depending on the jurisdiction.

Some governments may consider banning Bitcoin (BTC) mining due to concerns over the industry’s carbon footprint, but a new study suggests that such measures could actually backfire in some jurisdictions.
According to the study, titled “The Unintended Carbon Consequences of Bitcoin Mining Bans: A Paradox in Environmental Policy,” a blanket ban on bitcoin mining can lead to an increase in the industry’s overall carbon emissions.
The study was conducted by crypto research firm Exponential Science and published on Thursday. It found that when miners are forced to relocate due to a mining ban, they may move to new regions with electric grids that rely on fossil fuels.
“Bitcoin mining has seen a rough couple of years from a PR perspective, with respect to its environmental credentials,” Juan Ignacio Ibañez, one of the paper's contributors, told CoinDesk.
“Although it is true that proof of work mining is an energy-intensive activity, this does not directly translate into carbon emissions or environmental harm.”
The carbon footprint of bitcoin mining depends on the source of energy used. A coal-powered electric grid will obviously produce more carbon emissions than a hydro-powered one.
“Mining bans can have the unfortunate effect of driving the industry away from green sources of energy, hence increasing the global emissions from the network,” Ibañez said.
The study’s findings suggest that the effectiveness of a mining ban from an environmental perspective will vary widely depending on the country.
The team’s model showed that a mining ban in Kazakhstan, for example, would reduce the Bitcoin network’s global annual carbon emissions by 7.63%. The same ban in Paraguay, however, would increase emissions by 4.32%.
Overall, mining bans would be more effective, from an environmental perspective, in countries such as China, Russia, and Malaysia, with Kazakhstan taking the lead in that category. They will backfire, however, in most of the Americas and in Europe, with a special emphasis on Nordic countries and Canada.
But even within the same nation, the situation may vary from region to region.
In the U.S., for example, a mining ban in Kentucky or Georgia would likely have a positive impact in terms of emissions, while bans in New York, Texas, the state of Washington, and California would be detrimental.
Interestingly, a similar dynamic is playing out in China. The Chinese government famously banned crypto mining in 2021, but mining models now agree that some Chinese miners, instead of relocating, simply went underground and continued to operate illegally.
The result? The cessation of all mining activity in the province of Xinjiang could still result in a 6.9% reduction in global annual emissions, while a similar move in Sichuan would cause almost a 3.8% increase.
“What this underscores is the importance of science-informed regulation,” Nikhil Vadgama, co-founder of Exponential Science, told CoinDesk. “Emerging technologies such as blockchain are complex systems, and thus regulatory interventions can produce a butterfly effect” — meaning policy decisions can have unintended, far-reaching consequences.
For Ibañez, one of the takeaways of the research is that, as an increasing number of bitcoin mining operations come online, new jurisdictions will grow to have an outsized impact on the network’s total carbon emissions.
“Currently, our model does not place a large effect on Sweden, but it's a safe bet to think that more and more miners may move there if conditions continue to be so favorable. Other countries such as Iceland and potentially Argentina could enter the radar soon,” Ibañez said.
The full version of the study can be found here.
By Tom Carreras
Markets Reporter
Tom Carreras is a markets reporter for CoinDesk. He holds BTC, ETH and SOL above CoinDesk's disclosure threshold of $1,000.
Disclaimer:info@kdj.com
The information provided is not trading advice. kdj.com does not assume any responsibility for any investments made based on the information provided in this article. Cryptocurrencies are highly volatile and it is highly recommended that you invest with caution after thorough research!
If you believe that the content used on this website infringes your copyright, please contact us immediately (info@kdj.com) and we will delete it promptly.
-
- NYC Alert: AI-Driven Attacks Hit Crypto Exchanges at Machine Speed – Are Your Digital Assets Safe?
- Nov 05, 2026 at 12:05 pm
- India's CERT-In warns of "CRAFTY FALCON" leveraging AI to launch sophisticated attacks on crypto exchanges, operating at machine speed and exploiting API vulnerabilities. This advisory is a wake-up call for the entire financial sector.
-
-
-
-
-
- French Bank Crypto Loss: ZachXBT Unearths Alleged $133M Heist at Crédit Mutuel Arkéa
- Nov 04, 2026 at 04:05 pm
- On-chain sleuth ZachXBT has spotlighted French banking giant Crédit Mutuel Arkéa as the alleged victim of a crypto theft exceeding $133 million, raising red flags about traditional finance's digital asset security.
-
-
- US Midterms, Prediction Markets & Crypto Races: A High-Stakes Wager on Washington's Future
- Nov 04, 2026 at 04:05 am
- Prediction markets are heavily favoring Democrats in the US midterms, with record trading activity and significant crypto industry implications. Will these digital wagers accurately forecast the political landscape and its impact on crypto regulation?
-
- Digital Assets, Global Finance, and AI: Navigating the Next Frontier at DavosWeb3 and Beyond
- Nov 04, 2026 at 04:05 am
- DavosWeb3 convenes leaders to discuss the integration of digital assets, global finance, and AI. Ripple highlights tokenization's rise, while XTEND AI Robotics showcases advanced tech. The future is here!

































