First Republic collapse signals wider US bank ills

First Republic Bank became the second-biggest bank failure in US history after the lender was seized by the Federal Deposit Insurance Corp. and sold to JPMorgan Chase on May 1, 2023. First Republic is the latest victim of the panic that has roiled small and midsize banks since the failure of Silicon Valley Bank in March 2023.

The collapse of SVB and now First Republic underscores how the impact of risky decisions at one bank can quickly spread into the broader financial system. It should also provide the impetus for policymakers and regulators to address a systemic problem that has plagued the banking industry from the savings and loan crisis of the 1980s to the financial crisis of 2008 to the recent turmoil following SVB’s demise: incentive structures that encourage excessive risk-taking.

The Federal Reserve’s top regulator seems to agree. On April 28, the central bank’s vice chair for supervision delivered a stinging report on the collapse of Silicon Valley Bank, blaming its failures on its weak risk management, as well as supervisory missteps.

We are professors of economics who study and teach the history of financial crises. In each of the financial upheavals since the 1980s, the common denominator was risk. Banks provided incentives that encouraged executives to take big risks to boost profits, with few consequences if their bets turned bad. In other words, all carrot and no stick.

One question we are grappling with now is what can be done to keep history from repeating itself and threatening the banking system, economy and jobs of everyday people.

S&L crisis sets the stage

The precursor to the banking crises of the 21st century was the savings and loan crisis of the 1980s.

The so-called S&L crisis, like the collapse of SVB, began in a rapidly changing interest rate environment. Savings and loan banks, also known as thrifts, provided home loans at attractive interest rates.

When the Federal Reserve under Chairman Paul Volcker aggressively raised rates in the late 1970s to fight raging inflation, S&Ls were suddenly earning less on fixed-rate mortgages while having to pay higher interest to attract depositors. At one point, their losses topped US$100 billion.

Paul Volcker in a file photo. Image: Twitter

To help the teetering banks, the federal government deregulated the thrift industry, allowing S&Ls to expand beyond home loans to commercial real estate. S&L executives were often paid based on the size of their institutions’ assets, and they aggressively lent to commercial real estate projects, taking on riskier loans to grow their loan portfolios quickly.

In the late 1980s, the commercial real estate boom turned bust. S&Ls, burdened by bad loans, failed in droves, requiring the federal government take over banks and delinquent commercial properties and sell the assets to recover money paid to insured depositors. Ultimately, the bailout cost taxpayers more than $100 billion.

Short-term incentives

The 2008 crisis is another obvious example of incentive structures that encourage risky strategies.

At all levels of mortgage financing – from Main Street lenders to Wall Street investment firms – executives prospered by taking excessive risks and passing them to someone else. Lenders passed mortgages made to people who could not afford them onto Wall Street firms, which in turn bundled those into securities to sell to investors. It all came crashing down when the housing bubble burst, followed by a wave of foreclosures.

Incentives rewarded short-term performance, and executives responded by taking bigger risks for immediate gains. At the Wall Street investment banks Bear Stearns and Lehman Brothers, profits grew as the firms bundled increasingly risky loans into mortgage-backed securities to sell, buy and hold.

As foreclosures spread, the value of these securities plummeted, and Bear Stearns collapsed in early 2008, providing the spark of the financial crisis. Lehman failed in September of that year, paralyzing the global financial system and plunging the U.S. economy into the worst recession since the Great Depression.

Executives at the banks, however, had already cashed in, and none were held accountable. Researchers at Harvard University estimated that top executive teams at Bear Stearns and Lehman pocketed a combined $2.4 billion in cash bonuses and stock sales from 2000 to 2008.

A familiar ring

That brings us back to Silicon Valley Bank.

Executives tied up the bank’s assets in long-term Treasury and mortgage-backed securities, failing to protect against rising interest rates that would undermine the value of these assets. The interest rate risk was particularly acute for SVB, since a large share of depositors were startups, whose finances depend on investors’ access to cheap money.

When the Fed began raising interest rates last year, SVB was doubly exposed. As startups’ fundraising slowed, they withdrew money, which required SVB to sell long-term holdings at a loss to cover the withdrawals. When the extent of SVB’s losses became known, depositors lost trust, spurring a run that ended with SVB’s collapse.

Silicon Valley Bank’s troubles could be the tip of the iceberg for US banks. Image: Screengrab / Twitter / TechCrunch

For executives, however, there was little downside in discounting or even ignoring the risk of rising rates. The cash bonus of SVB CEO Greg Becker more than doubled to $3 million in 2021 from $1.4 million in 2017, lifting his total earnings to $10 million, up 60% from four years earlier. Becker also sold nearly $30 million in stock over the past two years, including some $3.6 million in the days leading up to his bank’s failure.

The impact of the failure was not contained to SVB. Share prices of many midsize banks tumbled. Another American bank, Signature, collapsed days after SVB did.

First Republic survived the initial panic in March after it was rescued by a consortium of major banks led by JPMorgan Chase, but the damage was already done. First Republic recently reported that depositors withdrew more than $100 billion in the six weeks following SVB’s collapse, and on May 1, the FDIC seized control of the bank and engineered a sale to JPMorgan Chase.

The crisis isn’t over yet. Banks had over $620 billion in unrealized losses at the end of 2022, largely due to rapidly rising interest rates.

The big picture

So, what’s to be done?

We believe the bipartisan bill recently filed in Congress, the Failed Bank Executives Clawback, would be a good start. In the event of a bank failure, the legislation would empower regulators to claw back compensation received by bank executives in the five-year period preceding the failure.

Clawbacks, however, kick in only after the fact. To prevent risky behavior, regulators could require executive compensation to prioritize long-term performance over short-term gains. And new rules could restrict the ability of bank executives to take the money and run, including requiring executives to hold substantial portions of their stock and options until they retire.

The Fed’s new report on what led to SVB’s failure points in this direction. The 102-page report recommends new limits on executive compensation, saying leaders “were not compensated to manage the bank’s risk,” as well as stronger stress-testing and higher liquidity requirements.

It comes down to this: Financial crises are less likely to happen if banks and bank executives consider the interest of the entire banking system, not just themselves, their institutions and shareholders.

Alexandra Digby is Adjunct Assistant professor of Economics, University of Rochester; Dollie Davis is Associate Dean of Faculty, Minerva University, and Robson Hiroshi Hatsukami Morgan is Assistant Professor of Social Sciences, Minerva University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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US Fed weighs mixed signals in next crucial rate call

Is the Federal Reserve finished raising interest rates now that inflation has decreased and the US market has cooled? After all, the central bank’s goal when it started jacking up prices more than a year later was to gradually lower the direction of prices without crashing the economy.

According to data released on April 27, 2023, the gross domestic product— the most comprehensive indicator of an economy’s output — expanded at a rate of just 1.1 % annually in the first quarter, down from 2.6 % during the last three months of 2022. Additionally, the most recent customer premium data from March indicates that inflation is slowing to 5 % annually, which is the lowest level in about a year.

However, the Fed hasn’t most finished raising rates just yet, which is bad news for consumers and businesses who are tired of skyrocketing borrowing costs. When the Fed meets for a two-day meet that ends May 3, 2023, commercial businesses are forecasting another quarter-point increase. Additionally, there might be additional changes in the future.

But this does bring up another crucial question: Is the Fed getting close to creating the” soft landing” it’s been hoping for with all the recent, frequently contradictory data and narratives about inflation, bank failures, and layoffs in the tech sector?

The market oscillates between zigzags.

The GDP facts offers some hints to the solution despite being a mixed bag.

Ultimately, the most recent GDP figures point to a good economic slowdown in the future, which is largely attributable to an increase in inventories, meaning that rather than ordering new goods, businesses are relying more on items that are already in storage.

Companies appear to be more likely to sell what is already available than to purchase different goods, probably in anticipation of a decline in consumption. Additionally, business investment fell 12.5 % during the quarter.

Consumer spending, which makes up about two-thirds of GDP, increased at a healthy 3.7 % rate at the same time that investment in machinery like computers and robotics increased by 11.2 %. However, this category is quite volatile and could easily change in the coming quarters.

A decline, such as a decrease in new purchases for manufactured goods, is also indicated by some data. This, along with the decrease in stock in the GDP report, may imply that companies are bracing themselves for a decline in consumer demand for goods and services.

Job openings have been declining when we consider the labor market, despite the fact that job growth has been strong( 334, 000 over the past six months ). According to the Bureau of Labor Statistics, holes decreased to about 9.9 million as of February 2022 from a peak of around 12 million.

Is the price of prices high or low?

We can also see opposing figures in terms of prices.

Since its peak in June 2022 at 9.1 %, the headline consumer price index has in fact been steadily declining. The Fed’s preferred solution of inflation, the primary preferred eating index, has nevertheless remained obstinately elevated.

The index, which excludes volatile food and energy prices, was up 4.6 % in March from a year earlier and has barely budged in months, according to the most recent data, released on April 28, 2023.

a grocery store in Washington, DC, selling fruits and vegetables. AFP portrait by Brendan Smialowski

However, wages increased at an annual 5.1 % in the first quarter, also in line with data released on April 28. Income, when rising, can have a significant upward thrust on price. Even though it’s down from its 5.7 % peak in the second quarter of 2022, wage growth is still moving at the fastest rate in at least 20 years.

More excursions are coming.

What does all of this mean for the Fed’s interest rate policy, then?

The market chances strongly favor another 0.25 amount stage increase, making it the 10th straight increase since March 2022, when the next meeting is scheduled to start on May 3.

The central bank is probably not finished raising rates because the inflation rate is still well above the Fed’s target of about 2 %, along with continued job growth and a low unemployment rate. I concur with the competition conflict pricing for a quarter-point increase for the meeting in May. Future content will direct any rate increases that come after that.

The good news is that, in my opinion, the higher price changes have historically occurred.

landing gently, or at least slowly

That brings us full circle to the crucial query: How near is the Fed to implementing a soft landing in which the US business is able to control inflation without erupting?

Unfortunately, it’s also soon to tell. Political and international functions, such as potential impasse on debt ceiling deals or further escalation of the Ukraine combat, you turn things upside down. Work businesses can be very unstable. Having said that, a development or mild recession is what we are anticipating.

What makes them different? A growth recession indicates a poor economy, but not enough to cause unemployment to rise drastically. This is preferable to an even mild recession that results in multiple quarterly GDP declines and significantly higher unemployment.

Simply put, we are unsure of which is more plausible. However, I believe that a severe downturn has been avoided, barring any fatal and unexpected events.

Christopher Decker, Professor of Economics, University of Nebraska Omaha

Under a Creative Commons license, this article is republished from The Conversation. Read the original publication.

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Decoupling or not, China still opening wide its economy

The private sector and foreign investors have become increasingly skeptical about doing business in China since Covid-19. The risks of shutdowns, travel restrictions, disruptions to normal operation and supply chains, and liquidity shortages resulting from China’s zero-Covid policy have significantly shaken their confidence.

China has engaged in a multi-pronged regulatory crackdown on a wide range of sectors, from platform economy to online finance to real estate. The crackdown signals that Beijing values loyalty from the private sector and financial stability over growth and access to capital. Beijing’s advocation for “common prosperity” and opposition to “unconstrained economic growth” has only heightened business concerns regarding China’s aggressive redistribution policies.

The increasing antagonism and decoupling between China and the West as well as China’s decision to develop “self-reliance in technology and science” have created enormous uncertainties for business operations and lowered companies’ confidence. Many have questioned whether China is adopting a state-centric and inward-facing economic development strategy and whether the reform and opening-up era has come to an end.

With the termination of China’s zero-Covid policy at the end of 2022 and the recent announcement of a new line-up of top government leaders, 2023 is a crucial year for China to restore business confidence. China will need to demonstrate to the world that it still places a premium on opening up and pro-business policies, particularly for the private sector, in the post-pandemic era.

Chinese leaders have reiterated their determination to open the country up. The 2022 report of the 20th National Party Congress of the Chinese Communist Party emphasizes that China will remain “committed to reform and opening up”, “promote high-standard opening up” and “facilitate the healthy development of the non-public sector.”

During the first plenary session of the State Council’s new term, the new Chinese Premier Li Qiang told his colleagues that advancing opening up, empowering private sectors and attracting more foreign investment are their top priorities.

Li highlighted the importance of the private sector in upgrading China’s manufacturing by visiting the facilities of Build Your Dreams, one of the country’s largest electric vehicle makers and a private company, on his first trip out of Beijing after he became the premier.

China’s newly-elected Premier Li Qiang takes an oath after being elected during the fourth plenary session of the National People’s Congress (NPC) at the Great Hall of the People in Beijing, China on March 11, 2023. Image: Pool / Twitter / Screengrab

During this trip, he also met with a number of heads of big enterprises. Among these heads was the CEO of Xiaomi, one of China’s largest smartphone manufacturers and a privately held company in China.

During the meeting, Li promised to create a business-friendly environment. In addition to sending a message to the domestic private sector, the Chinese government has used international conferences to reassure foreign investors. For instance, Chinese President Xi Jinping sent an unprecedented congratulatory letter to this year’s China Development Forum, reiterating that opening up is China’s fundamental national policy.

During the Forum, both Li and Chinese Vice President Han Zheng met with CEOs of numerous multinational corporations and promised to promote high-quality opening up. Li clearly stated in his opening remarks at the Boao Forum of Asia’s annual meeting that China will continue to increase market access with new measures and improve the business climate for state-owned enterprises (SOEs), private Chinese firms and foreign businesses.

China has taken a whole-of-government approach to addressing the concerns of the private sector. Xi emphasizes that the operation of SOEs must follow the market. This could be interpreted to mean that SOEs should not enjoy privileges and should compete in the market. The central government has taken steps to ease up on the regulatory crackdowns on businesses.

For instance, it granted publishing licenses to 44 foreign games for domestic release and approved over one hundred new video game licenses for domestic companies and Didi Chuxing, a domestic ride-hailing company, has been allowed to register new users.

Ministries of the Central government and local governments have taken steps to promote the development of the domestic private sector and expand opening up. In collaboration with provincial governments, the Ministry of Commerce has launched “The Year of Investment in China” to attract more foreign investment through exhibitions and forums.

The provincial governments of Hebei, Shaanxi, Hainan and Hunan have issued policy measures to support the development of the private economy. Their measures include reducing government intervention in the operation of the private sector, providing financial and credit support to private companies through multiple channels and awarding cash to outstanding private companies.

A Chinese worker at a spinning factory in Xingtai City, Hebei province. Photo: Xinhua

Provincial leaders have also traveled abroad to entice foreign investment and broaden the opening of their respective provinces. Guangxi Party Secretary Liu Ning, for instance, traveled to Vietnam, Singapore and Malaysia in March and April 2023, signing contracts with a total value of 89.1 billion RMB (US$12.9 billion).

The Chinese government has sent a clear message that it is fully committed to opening up and improving the business environment, especially for the private sector. In the post-pandemic era, it is nearly impossible for China to overthrow its opening up and support for the private sector.

It would be unfeasibly expensive for Chinese leaders to retract their support for the private sector after making statements at high-profile international events. The path-dependence of China’s outward-looking economy also means that any actions against opening up or the development of private sectors would have enormous negative effects not only in economics but also in politics and society.

Xirui Li is a PhD candidate at the S Rajaratnam School of International Studies, Nanyang Technological University, and a Research Fellow at the Intellisia Institute, Guangzhou.

This article was originally published by East Asia Forum and is republished under a Creative Commons license.

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Welcome to the age of AI inequality

On November 30, 2022, OpenAI launched the AI chatbot ChatGTP, making the latest generation of AI technologies widely available.

In the few months since then, we have seen Italy ban ChatGTP over privacy concerns, leading technology luminaries calling for a pause on AI systems development, and even prominent researchers saying we should be prepared to launch airstrikes on data centers associated with rogue AI.

The rapid deployment of AI and its potential impacts on human society and economies is now clearly in the spotlight.

What will AI mean for productivity and economic growth? Will it usher in an age of automated luxury for all, or simply intensify existing inequalities? And what does it mean for the role of humans?

Economists have been studying these questions for many years. My colleague Yixiao Zhou and I surveyed their results in 2021, and found we are still a long way from definitive answers.

The big economic picture

Over the past half-century or so, workers around the world have been getting a smaller fraction of their country’s total income.

At the same time, growth in productivity – how much output can be produced with a given amount of inputs such as labor and materials – has slowed down. This period has also seen huge developments in the creation and implementation of information technologies and automation.

Better technology is supposed to increase productivity. The apparent failure of the computer revolution to deliver these gains is a puzzle economists call the Solow paradox.

Will AI rescue global productivity from its long slump? And if so, who will reap the gains? Many people are curious about these questions.

While consulting firms have often painted AI as an economic panacea, policymakers are more concerned about potential job losses. Economists, perhaps unsurprisingly, take a more cautious view.

Radical change at a rapid pace

Perhaps the single greatest source of caution is the huge uncertainty around the future trajectory of AI technology.

Compared to previous technological leaps – such as railways, motorized transport and, more recently, the gradual integration of computers into all aspects of our lives – AI can spread much faster. And it can do this with much lower capital investment.

This is because the application of AI is largely a revolution in software. Much of the infrastructure it requires, such as computing devices, networks and cloud services, is already in place.

There is no need for the slow process of building out a physical railway or broadband network – you can use ChatGPT and the rapidly proliferating horde of similar software right now from your phone.

A photo of a phone showing ChatGPT on the screen.
Unlike great technological innovations of the past, many AI tools will be instantly available to anyone with an internet connection. Photo: Shutterstock via The Conversation

It is also relatively cheap to make use of AI, which greatly decreases the barriers to entry. This links to another major uncertainty around AI: the scope and domain of the impacts.

AI seems likely to radically change the way we do things in many areas, from education and privacy to the structure of global trade. AI may not just change discrete elements of the economy but rather its broader structure.

Adequate modeling of such complex and radical change would be challenging in the extreme, and nobody has yet done it. Yet without such modeling, economists cannot provide clear statements about likely impacts on the economy overall.

More inequality, weaker institutions

Although economists have different opinions on the impact of AI, there is general agreement among economic studies that AI will increase inequality.

One possible example of this could be a further shift in the advantage from labor to capital, weakening labour institutions along the way. At the same time, it may also reduce tax bases, weakening the government’s capacity for redistribution.

Most empirical studies find that AI technology will not reduce overall employment. However, it is likely to reduce the relative amount of income going to low-skilled labor, which will increase inequality across society.

Moreover, AI-induced productivity growth would cause employment redistribution and trade restructuring, which would tend to further increase inequality both within countries and between them.

As a consequence, controlling the rate at which AI technology is adopted is likely to slow down the pace of societal and economic restructuring. This will provide a longer window for adjustment between relative losers and beneficiaries.

In the face of the rise of robotics and AI, there is a possibility for governments to alleviate income inequality and its negative impacts with policies that aim to reduce inequality of opportunity.

What’s left for humans?

The famous economist Jeffrey Sachs once said

What humans can do in the AI era is just to be human beings, because this is what robots or AI cannot do.

But what does that mean, exactly? At least in economic terms?

In traditional economic modeling, humans are often synonymous with “labor”, and also being an optimizing agent at the same time. If machines can not only perform labor, but also make decisions and even create ideas, what’s left for humans?

A close up photo of an eye with a bright white halo around the pupil.
What’s so special about humans? Economists are still working on that one. Photo: Arteum.ro / Unsplash via The Conversation

The rise of AI challenges economists to develop more complex representations of humans and the “economic agents” which inhabit their models.

As American economists David Parkes and Michael Wellman have noted, a world of AI agents may actually behave more like economic theory than the human world does.

Compared to humans, AIs “better respect idealized assumptions of rationality than people, interacting through novel rules and incentive systems quite distinct from those tailored for people.”

Importantly, having a better concept of what is “human” in economics should also help us think through what new characteristics AI will bring into an economy.

Will AI bring us some kind of fundamentally new production technology, or will it tinker with existing production technologies? Is AI simply a substitute for labor or human capital, or is it an independent economic agent in the economic system?

Answering these questions is vital for economists – and for understanding how the world will change in the coming years.

Yingying Lu is Research Associate, Center for Applied Macroeconomic Analysis, Crawford School of Public Policy, and Economic Modeller, CSIRO

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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US debt: The bomb is ticking

The US debt ceiling will be increased by$ 1.5 trillion, according to a deal between Democrats and Republicans. Markets do not, however, expand quickly, and the price of default insurance ( CDS ) on US government bonds is still skyrocketing.

Why don’t people support the bill put forth by House Speaker Kevin McCarthy? It all revolves around President Joe Biden’s reluctance to give in or, more accurately, reduce public investing. In the end, the leader will reject it even if both houses of Congress vote” Yes.”

Treasury securities are dissipating in the interim, and the offer on a 13-week Treasury bill is approaching 5 %. At this rate, Elon Musk’s anticipation that the nation will mistake will be realized sooner rather than later. The challenge of the US default, on the other hand, is by no means different.

Researchers at Fitch Ratings predict that the US institutional leveraged loan default price will end in 2023 at 2 to 3 % despite the CDS spike, escalating economic headwinds, and recessionary danger. Therefore, never actually 50 %, so there is still nothing to worry about.

What happens if the veil comes down?

Even if the nation doesn’t repay its loans on time, it will still be considered a professional default, in which case the debts, including the interest, may be settled. The primary remaining query is when. In the worst-case approach, the nation’s credit rating might be lowered, which might raise the price of loans.

Speaking of the repercussions for the US market, prices could drop on the one hand, and the challenge of a recession would be even more clear in light of declining borrowing and spending. Everyday Americans’ retirement addresses would also be impacted.

According to Moody’s Analytics, real GDP could fall by more than 4 %, resulting in a reduction in the number of jobs lost and the potential for an employment rate of over 8 %. Additionally, at the worst of the downturn, stock prices could drop by nearly a fifth, wiping out$ 10 trillion in home income.

The S & amp, P 500, fell 17 % in 2011 as a result of the political unrest in Washington over the country’s debt limit. The recovery of past worth took about seven weeks. The results may be even worse if things do not go as planned this day.

Is there a place to hide then?

There are devices like the ProShares Trust Ultrashort 20 Year Treasury ETF, the Rydex Inverse Government Long Bond Fund, and the Powershares DB US Dollar Bearish Fund for those who think a proxy is inevitable. Finally, but most importantly, gold( XAUUSD ) might increase.

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US bans intensify chip-making equipment competition

Export controls on semiconductor technology have been expanded after the conclusion of US bilateral negotiations with Japan and the Netherlands in March 2023. This is only the beginning as the United States is set to further tighten export controls, as recommended in the National Security Commission on Artificial Intelligence’s final report.

The US Department of Commerce’s Bureau of Industry and Security issued new regulations on October 7, 2022, which were expected to bring about protests from semiconductor equipment makers and foundries.

While Washington insists that the measures are designed to protect US intellectual property and defend national security, they reflect the heavy competition in the global semiconductor equipment business.

According to 2019 figures, the United States had a 17% share of overall semiconductor manufacturing equipment exports, trailing behind Japan (28%) and closely followed by the Netherlands (17%), Singapore (10%) and South Korea (10%).

The United States is dominant in the upstream integrated circuit design process but it faces competition from the Netherlands and Japan in the midstream integrated circuit manufacturing process. It also does not have a substantial market share in the downstream integrated circuit packaging and testing process.

The competitive nature of the global semiconductor industry is particularly salient in lithography equipment (dubbed scanners or steppers). The Dutch company ASML Holding NV dominates this market, which was valued at US$11.8 billion in 2022 and is expected to grow at a compound annual growth rate of 10%, reaching $18 billion by 2025.

The current moves to deter the Netherlands and Japan from exporting semiconductor equipment to China aim to undercut China’s access to high-end chip manufacturing equipment. But these efforts might also lead to a shift in market share depending on how export controls are implemented.

Dutch firm ASML employees at work. Photo: ASML

After months of deliberation amid negotiations with the United States, ASML announced it would prevent the sales of specific models of semiconductor equipment to an unnamed country.

The affected models were the TWINSCAN NXT:2000i, the NXT:2050i and the NXT:2100i, which are immersion-deep ultraviolet machinery used for lithographic processes in the most advanced logic and memory chips.

ASML has announced that the added measures will not affect its revenue, as it is currently operating at capacity. But given that the US Department of Commerce’s Bureau of Industry and Security has already prohibited the sale of extreme ultraviolet machinery to China, ASML must plan its next steps wisely and diversify into other jurisdictions.

The additional measures are pending implementation until the Netherlands enacts new laws and ASML is bound by any existing contracts to deliver machines until that time.

Japan has expressed its intent to participate in export controls, announcing its own export control mechanisms in March 2023. But Japanese Foreign Minister Yoshimasa Hayashi subsequently paid a visit to his counterpart in Beijing, Qin Gang, given the possible backlash from China.

As expected, China has contemplated placing export controls on rare earth materials in retaliation. There is speculation on which Japanese companies would be subject to the ban on semiconductor equipment sales to China, with the most likely being Tokyo Electron.

Depending on how Japan implements the export curbs, Japanese companies Canon and Nikon may seek to revive their lithography businesses, a market in which they once flourished but in which they have lost market share as they have instead focussed on camera lenses.

The Bureau of Industry and Security measures announced on October 7, 2022, have led to a plunge in semiconductor equipment sales to China, demonstrating the immediate impact of the measures on US companies such as Applied Materials, KLA and Lam Research.

The implementation of US export controls on semiconductor equipment may reset the competition for market share and create uncertainty for major players. Other countries such as Singapore, Germany and South Korea are likely to be subject to additional measures in the near future.

As access to the Chinese market shrinks under US export controls, it is bound to spur heightened competition and geo-economic conflict between the United States and China.

June Park is a political economist and an inaugural Asia Fellow of the International Strategy Forum at Schmidt Futures.

This article was originally published by East Asia Forum and is republished under a a Creative Commons license.

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Huawei’s ERP software overcomes US sanctions

Chinese tech giant Huawei has announced the introduction of its own Enterprise Resource Planning (ERP) software, ending its dependence on America’s Oracle and making another move away from vulnerability to US sanctions.

On April 20, Huawei announced that it had “replaced the legacy ERP system” with its own MetaERP system “over which it has full control.” The legacy system was provided by US software company Oracle.

Oracle defines ERP as “a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations.”

It says: “A complete ERP suite also includes enterprise performance management, software that helps plan, budget, predict, and report on an organization’s financial results.”

Huawei refers to ERP as “the most critical enterprise management IT system.” It was therefore critical when Oracle was forced to stop providing software upgrades and technical services to Huawei after the Bureau of Industry and Security of the US Department of Commerce added Huawei to its Entity List in May 2019.

Tao Jingwen, president of Huawei’s Quality, Business Process & IT Management Department, said “We were cut off from our old ERP system and other core operation and management systems more than three years ago. Since then, we have not only been able to build our own MetaERP, but also manage the switch and prove its capabilities. Today we are proud to announce that we have broken through the blockade. We have survived!”

Huawei’s announcement included this statement: “Today, Huawei hosted the MetaERP Award Ceremony to recognize the individuals and teams who made critical contributions to this project. The event titled ‘Heroes Fighting to Cross the Dadu River’ was held at the company’s Xi Liu Bei Po Village Campus in Dongguan, China.”

Huawei has a new homegrown ERP system. Image: Twitter

In addition to thousands of its own employees, Chinese partner companies including Qi An Xin Technology, Kingdee International Software and Kingsoft contributed to the project.

Qi An Jin is one of China’s largest cybersecurity companies. Kingdee is one of China’s larger providers of ERP software. Kingsoft provides office, security and other software, and cloud computing services.

In 1935, the Red Army of the Chinese Communist Party defeated Nationalist forces in the Battle of Luding Bridge, crossing the Dadu River in western Sichuan on the Long March.

In the words of Tao Jingwen, “Not having access to ERP became Huawei’s ‘Dadu River’ that blocked our way forward and threatened our very existence.”

According to Huawei: “The old ERP system was the core system underpinning Huawei’s enterprise operations and rapid development for more than 20 years. It supported Huawei’s efficient business operations, which generate hundreds of billions of dollars every year, across more than 170 countries and regions worldwide.”

In 2016, Huawei and Oracle agreed to deepen their collaboration using Huawei’s KunLun Mission Critical Server and Oracle’s database platform technologies.

In 2017, they announced a “Power IoT Ecosystem Partnership” in advanced metering infrastructure and smart grid software. After that, however, the relationship unraveled.

In 2019, Oracle laid off around 900 of the 1,600 workers at its R&D Center in China, most of them researchers and Huawei soon thereafter announced its own database management software called GaussDB.

Then, with the onset of US government sanctions, Huawei “decided to develop a completely self-controlled MetaERP system to replace the old ERP system.”

“MetaERP,” according to Huawei, “currently handles 100% of Huawei’s business scenarios and 80% of its business volume. MetaERP has already passed the tests of monthly, quarterly, and yearly settlements, while ensuring zero faults, zero delays, and zero accounting adjustments.”

ERP in China

China’s commercial ERP market should grow by about 15% this year to $2.2 billion, in the estimation of Chinese market research and consulting firm Tenba Group.

The global ERP market, according to Tenba Group, is forecast to grow by 11% to $55 billion, with China accounting for only 4% of the total. Given the size and sophistication of the Chinese economy, China should continue to outgrow the global market for many years.

Two companies, SAP and Oracle, have more than half of the ERP business at large Chinese companies, according to Tenba, while the top seven suppliers have almost 90%. These companies are:

  1. SAP (33%) – Germany
  2. Oracle (20%) – USA
  3. Yonyou (14%) – China
  4. IBM (8%) – USA
  5. Kingdee (6%) – China
  6. Talosoft (5%) – China
  7. Infor (3%) – USA

Most Chinese small and medium-sized enterprises (SMEs) use domestic ERP providers, but SAP has about 15% and Oracle 6% of the market.

The manufacturing and communications industries are the largest users of ERP in China, followed by construction, utilities and transportation.

SAP has been in China for 30 years. It now has more than 6,500 employees, 100 official partners, 20,000 certified consultants and about 16,000 customers in the country.

In March, the president of SAP Greater China told Chinese state news agency Xinhua that “Chinese companies are going fully digital, connected and environment-friendly, which opens a window of opportunity for SAP in China.”

“As a multinational company founded in Germany, SAP’s business development in China has benefited from China’s deepening reform and opening up and rapid economic development,” he said. Indeed, the market share numbers bear this out.

Huawei now has its own ERP software and SAP is the largest provider of ERP software in China, with Oracle running a distant second. That makes two own goals for the US government – a result perhaps only to be expected when government trade strategy prioritizes vindictiveness over profit motive.

Follow this writer on Twitter: @ScottFo83517667

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