Zhou Xiaochuan: Cryptocurrency Should Consider 100% Cash Reserves

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The rapid evolution of information technology—ranging from big data and cloud computing to mobile internet and blockchain—has significantly reshaped the financial landscape. Terms like FinTech and BigTech have become commonplace, reflecting the growing influence of digital innovation in finance. New financial services such as peer-to-peer (P2P) lending, crowdfunding, and digital payments are emerging at an unprecedented pace. These developments not only transform traditional financial operations but also pose new challenges for public policy. In response, institutions like the International Monetary Fund (IMF) and the Bank for International Settlements (BIS) have examined the implications of BigTech’s rise on financial systems, culminating in a 2018 BIS report titled BigTech in Finance and the Challenge to Public Policy. While the scope of that report is broad, this discussion focuses specifically on the financial policy dimension.

China has been at the forefront of FinTech innovation, especially in electronic payments. The People's Bank of China (PBOC) established a dedicated research institute for digital currency early on and took decisive regulatory actions in 2017 by halting initial coin offerings (ICOs) and shutting down domestic Bitcoin trading platforms. These moves attracted global attention and sparked international interest in understanding China’s regulatory philosophy: What drives Chinese financial authorities? What principles guide their decision-making?

Core Principles for Financial Policy in the Age of Technology

Finance as an Information Industry

At its core, finance is fundamentally an information industry. Although traditionally seen as a tool or support system, information technology (IT) now underpins nearly every aspect of finance. Most monetary value exists digitally as M1 or M2—entries in computer systems rather than physical cash or gold. Pricing mechanisms for loans and deposits rely heavily on data analytics, and financial transactions are executed through high-speed data networks, rendering physical trading floors obsolete.

Even bank branches and ATMs can be viewed as user interfaces of larger IT systems. The success of major Chinese banks post-Asian financial crisis underscores this reality: institutions that invested heavily in robust IT infrastructure advanced faster. Therefore, any effective financial policy must recognize and respond to the deep interdependence between finance and technology.

Sensitivity, Support, and Tolerance for Technological Experimentation

Financial regulators must remain highly sensitive to technological advances, offering strong support while allowing room for failure. History shows that many cutting-edge technologies become obsolete before full deployment. For example, in the late 1980s, the PBOC began developing satellite communication systems due to limitations in ground-based networks. However, these systems were soon overtaken by newer KU-band satellites and fiber-optic cables.

Similarly, massive investments in magnetic disk farms during the 1990s gave way to early cloud storage within just a few years. These examples highlight the inherent risks in adopting new technologies. Financial institutions must embrace experimentation—but with awareness that failures are part of progress.

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Maintaining Clarity Amidst Technological Hype

While IT vendors often promote their innovations as revolutionary or even essential for national security, financial institutions must maintain critical judgment. Not every breakthrough is truly disruptive; most progress follows a linear or logarithmic trajectory rather than sudden paradigm shifts. True disruption would reshape not only technology but also social structures, public policy, and regulatory frameworks.

Yet, marketing narratives can blur these lines. Some vendors exaggerate benefits or discredit competitors by claiming foreign products threaten cybersecurity—arguments sometimes used to justify protectionist measures despite weak technical foundations. Moreover, political lobbying and media campaigns may subtly influence policy decisions behind the scenes.

Relying on Market Competition for Technological Selection

Given the uncertainty surrounding technology adoption, market forces—not government mandates—should drive selection. Central banks and regulators should foster competitive environments where superior technologies naturally emerge. This approach avoids reputational risks associated with state-led failures, which could undermine confidence in monetary policy itself.

Historical parallels exist: when China selected PAL color TV standards, it later benefited from chips capable of handling multiple formats. Similarly, dual-mode mobile phones resolved GSM vs. CDMA competition. Such innovations show that coexistence and compatibility can overcome early-stage fragmentation.

Addressing BigTech and Market Dynamics

Combating "Winner-Takes-All" Effects

Network effects often lead to monopolistic outcomes—“winner-takes-all” dynamics—that distort fair competition. In China, companies frequently engage in aggressive user acquisition through heavy subsidies ("burning money"), akin to anti-competitive practices addressed by WTO rules on dumping and subsidies.

While such tactics may cause manageable damage in sectors like bike-sharing, they pose systemic risks in finance, where misallocation can trigger crises. Examples include云南泛亚 (Yunnan Pan-Asia) and E-lease Treasure (Ezubao), both involving massive investor losses due to Ponzi schemes and self-financing.

Regulators must monitor cross-subsidization strategies—such as using payment float income to subsidize other services or leveraging profits from one business to attract deposits into another. These practices may appear benign in non-financial contexts but carry amplified risks when dealing with large-scale capital flows.

Licensing Challenges and Regulatory Arbitrage

Defining the boundary between financial and non-financial activities remains complex. BigTech firms often exploit regulatory gray areas—for instance, whether funds held in Alipay’s Yu’E Bao constitute deposits subject to banking regulations or belong under securities oversight via its link to Tianhong Asset Management.

This regulatory arbitrage allows companies to pick favorable jurisdictions, avoiding costly capital requirements or risk provisions. Many aim to operate financial-like services without licenses—benefiting from light commercial registration rules while sidestepping stringent supervision.

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Shaping Incentives to Prevent Misaligned Motives

Beyond licensing, incentive design plays a crucial role in shaping behavior. Many third-party payment providers primarily profit from interest spreads on customer funds ("reserve funds"), not technological innovation. To correct this, regulators can impose strict reserve fund custody rules and limit interest earnings—pushing firms to compete on efficiency rather than rent-seeking.

More dangerously, some platforms engage in self-financing, diverting client funds for internal use—a practice central to collapses like Shanghai Changgou, which defaulted on 800 million yuan after misappropriating customer money. Other motives include inflating valuations for IPO exits (e.g.,乐视 LeEco) or exchanging benefits for traffic and market share.

Only well-designed incentives can curb these distortions. Poorly structured policies risk becoming self-destructive—like “burning your own house down.”

Ensuring Fairness, Accountability, and Systemic Stability

Managing Failure: Exit Strategies Without Moral Hazard

When institutions fail due to misconduct, resolution methods matter. Allowing bailouts or forced acquisitions by BigTech players creates moral hazard: poorly managed firms expect rescue, investors ignore risk, and market discipline erodes.

In the case of Shanghai Changgou, authorities opted for bankruptcy and market exit, funded partially by central bank stability reserves—not private buyers. This sent a clear signal: no automatic rescues for reckless actors. It also reinforced stricter custody norms across the payment industry.

Promoting Fair Competition

To enable genuine innovation through competition:

Though enforcement lags in sectors like ride-hailing or shared bikes, laxity in finance could lead to catastrophic losses—orders of magnitude greater than those seen in physical goods markets.

Data Ethics and Algorithmic Responsibility

BigTech firms increasingly offer credit scoring using alternative data. But if scoring favors users who spend more on luxury goods—or discriminates based on social network composition—it raises ethical and fairness concerns.

Using unstructured data (e.g., social media interactions) requires algorithmic transparency and oversight to avoid bias. Like Enron’s auditor Arthur Andersen, data providers must bear accountability for errors or misuse. Systems should allow correction pathways—especially critical in decentralized environments where data immutability complicates rectification.

Pilot Programs: Controlled Experimentation and Reversibility

Effective testing requires sandbox environments with clear boundaries and rollback capabilities. Early sandboxes emphasized reversibility—ensuring experiments don’t cause irreversible harm.

For example, currency transitions illustrate scalability challenges: small nations can replace cash within a year; China’s process might take decades due to size and complexity. Similarly, digital currency pilots should start small—especially given tendencies toward speculative excess among retail investors.

The 2017 ban on RMB-Bitcoin trading was partly motivated by consumer protection concerns. When products invite widespread fraud or social unrest, halting operations—or limiting trials—is prudent.

Cryptocurrency Reserves: The Case for 100% Backing

A key proposal is that any digital currency or token should maintain 100% cash reserves—mirroring Hong Kong’s currency board system, where every 7.8 HKD issued requires 1 USD held in reserve.

This prevents issuers from treating money creation as pure profit (“seigniorage”) and ensures stability. Without full backing, operators may be tempted to misuse funds or engage in self-financing. Even so-called "stablecoins" require rigorous monitoring, proper custody frameworks, and aligned incentives to prevent collapse.

Bitcoin’s volatility highlights why reliance on market-driven valuation is insufficient for payment systems. True stability demands structural safeguards—not just promises.

Design Philosophy Behind PBOC’s DC/EP

China’s Digital Currency/Electronic Payment (DC/EP) initiative follows several guiding principles:

  1. No pre-selected technology: Encourage distributed R&D and market-driven selection across account-based systems (e.g., QR codes) and DLT/blockchain solutions.
  2. Parallel development allowed: Multiple technologies may coexist; fast switching between systems promotes resilience.
  3. Full reserve requirement: Ensure stability via strict reserve fund management.
  4. Pre-planned exit mechanisms: Like a “living will,” contingency plans must be designed before launch.
  5. Anti-distortion measures: Prohibit subsidy-driven user acquisition that undermines fair competition.

Frequently Asked Questions (FAQ)

Q: Why does finance depend so heavily on IT?
A: Modern finance operates almost entirely through digital systems—from storing value (M1/M2) to executing trades and assessing credit risk—all of which rely on data processing infrastructure.

Q: What is “winner-takes-all” in FinTech?
A: It refers to dominant firms capturing disproportionate market share through network effects and subsidized growth strategies, potentially distorting competition and increasing systemic risk.

Q: How can regulators prevent misuse of customer funds?
A: By enforcing strict reserve fund custody rules, limiting interest retention, banning self-financing, and designing incentive structures that reward service quality over rent extraction.

Q: What role do pilot programs ("sandboxes") play?
A: They allow safe testing of innovations under controlled conditions with predefined exit strategies, minimizing risks to consumers and financial stability.

Q: Why advocate 100% cash reserves for digital currencies?
A: To prevent seigniorage abuse, ensure redemption guarantees, maintain price stability, and protect users from insolvency risks arising from fractional reserve practices.

Q: How does DC/EP differ from cryptocurrencies like Bitcoin?
A: Unlike decentralized, volatile tokens, DC/EP is centrally issued, fully backed, designed for stability, integrated with existing monetary policy tools, and prioritizes regulated adoption over speculation.


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