Productive Finance for the Belt and Road Initiative: Reexamining China’s Debt Sustainability Framework
This paper critiques China's current debt sustainability framework for its reliance on traditional IMF/World Bank models that overlook asset accumulation, productive multipliers, and currency composition, and proposes new indicators to better reflect the unique nature of Belt and Road Initiative financing.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
When nations borrow money to build roads, power plants, or ports, they are making a bet on their own future. They take on a liability, a debt that must be repaid, with the expectation that the new infrastructure will generate enough wealth to cover the cost. For decades, the standard way to check if this bet is safe has been to look almost exclusively at the debt itself. Financial experts have asked: How much is owed? How fast is it growing compared to the size of the economy? If the debt looks too heavy, the advice has usually been to stop borrowing and cut spending. This approach treats a nation's balance sheet like a simple ledger of what it owes, largely ignoring what it owns. It assumes that a new highway is just a cost on the books, rather than a productive asset that can earn money for the government for decades to come. This distinction matters deeply for the billions of dollars flowing into developing nations through the Belt and Road Initiative, a massive global infrastructure program led by China.
A researcher at Willamette University, Yan Liang, has taken a close look at how China evaluates the safety of these loans. China has become the largest lender to the developing world, committing over $1.3 trillion in financing since the turn of the century. As the loans begin to come due, there is growing concern about whether the borrowing countries can pay them back. In response, Chinese officials have created their own set of rules to assess debt risk, a framework that closely mirrors the system used by the International Monetary Fund and the World Bank. However, Liang argues that this system is fundamentally flawed when applied to the specific type of lending China does. The current framework, she finds, fails to see the full picture because it counts the debt but ignores the assets the debt builds, it underestimates how much these projects can boost economic growth, and it treats all money owed as the same, regardless of whether it is owed in local currency or foreign currency.
The core of the problem lies in how the current system views a nation's financial health. It focuses on the "liability" side of the equation—the debts owed to lenders—while largely ignoring the "asset" side. When China finances a railway or a power station, that project becomes a public asset. It is a piece of infrastructure that the government owns and can operate to generate revenue. Liang points out that standard debt checks often miss this entirely. For example, a country might have a high level of debt, which looks dangerous on paper, but if it also owns valuable public assets like ports or energy grids, its true financial position is much stronger. In one case study, a country with a high debt load was found to have a positive net worth once its public assets were counted, because those assets were generating enough income to cover the costs. By failing to include these assets in the calculation, the current system paints a gloomier picture than reality warrants, potentially causing lenders to pull back from projects that would actually help a country grow and pay its bills.
The second issue is how the system predicts the future. The current models rely on historical data to guess how much a country's economy will grow. They assume that spending money on infrastructure will have a predictable, modest effect on growth. But Liang suggests this is too conservative for the Belt and Road Initiative. The projects China funds are often in countries that lack basic infrastructure, meaning a new road or power line can unlock massive economic potential that didn't exist before. These projects don't just add a little bit of growth; they can transform an economy by removing bottlenecks that have held it back for years. By using old, static numbers to predict the future, the current framework underestimates the ability of these countries to generate the wealth needed to repay their loans. It treats a transformative investment the same way it treats routine spending, missing the unique power of infrastructure to change a nation's trajectory.
The third flaw involves the type of money being borrowed. The current framework often treats debt owed in a country's own currency the same as debt owed in foreign currencies, like the US dollar. This is a dangerous oversight. If a country borrows in its own currency, it can usually print more of it to pay the debt, or raise taxes in that currency to cover the cost. But if it borrows in a foreign currency, it must earn that foreign currency through exports or trade to make the payment. If the country's currency loses value against the dollar, the debt suddenly becomes much more expensive to pay, even if the economy is growing. Liang argues that the current system does not separate these two types of risk. It fails to ask whether the projects being funded will actually help the country earn the specific foreign currency it needs to repay the loan. Without this distinction, a country might appear safe on paper while actually facing a hidden crisis if its currency weakens.
To fix these problems, Liang proposes a new way of looking at debt sustainability. Instead of just counting the debt, the new system would calculate the net worth of a country by subtracting its debts from the value of its public assets. This would give a much clearer picture of whether a country is truly solvent. It would also adjust its growth predictions to account for the specific, transformative nature of the infrastructure being built, rather than relying on generic historical averages. Finally, it would split the analysis into two separate tracks: one for debt owed in local currency and another for debt owed in foreign currency. This would allow lenders to see exactly how much foreign money a country needs to earn and whether its new projects will help it do so.
The paper does not claim that these new methods are perfect or that they have been tested on every single country. The author notes that gathering the detailed data needed to value public assets is difficult, and the specific formulas for the new indicators are still being worked out. However, the argument is clear: the old way of measuring risk is too blunt an instrument for the complex reality of modern infrastructure lending. By ignoring what nations own, underestimating how fast they can grow, and blurring the lines between different types of money, the current system risks misjudging the safety of billions of dollars in loans. A more accurate framework would not only protect lenders from unexpected losses but also ensure that developing nations are not discouraged from building the very infrastructure they need to thrive. The goal is not to stop lending, but to lend smarter, ensuring that the debt taken on today builds a future that can pay it back.
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