- Our estimate of China’s mounting bad debt shows a difficult winter ahead
- Credit losses climbed to between 26% and 31% in 2021
- Utilities, consumer staples and real estate are the most exposed sectors
- A quarter of all corporate bonds outstanding are about to mature in the next 6 months
- Watch out for financials exposed to utilities and consumer staples
Xi Jinping may feel secure enough politically to embark on his first foreign visit since the outbreak of Covid, but he should be seriously worried about the dire straits of China’s economy. A new analysis by Enodo Economics shows severe credit losses in 2021, with more to come this year.
Investor worries about China’s mounting bad debt reached a premature crescendo in 2015-16, inuring them to its subsequent rise. At that time, I argued that Beijing had not reached the end of the road, but our estimate of credit losses for 2021 should be ringing alarm bells now.
Enodo Economics has combined bottom-up analysis of China’s quoted sector loans with a top-down macro evaluation of the returns on credit to estimate expected loan losses following its post-GFC borrowing binge.
Taking into account 2021 figures for impairment rates, we estimate credit losses at a startling 26% of GDP for 2021.
Our estimates are conservative, based on the share of loans to firms with an interest coverage ratio of 1.5 times to total loans. If we are to use an interest coverage ratio of 2 times, the respective impairment rates and credit loss estimates surge to 31% of GDP.*
Dealing with China’s bad debt is a daunting challenge. Not just because of the enormous size of losses, but also because the pandemic has delayed efforts to speed the clean-up and get on with the necessary banking recapitalisation. Moreover, Xi’s dynamic zero-Covid policy has hobbled growth. Beijing is yet again relying on boosting credit to pump prime the economy.
Looking at impairment rates by sector, it is noteworthy that consumer staples is the sector most at risk after utilities, surpassing real estate. The impairment rate of both consumer staples and real estate has surged well above their 2016 level while that of utilities is as high as it was that year. These three sectors account for over 30% of all quoted sector loans.
This is yet another piece of evidence that the Chinese consumer is in the doldrums, and the much-needed rebalancing of the economy has stalled if not rapidly reversed.
Worse still, about a quarter of all corporate bonds are due to mature between now and the next session of the National People’s Congress, held in March next year. Both the utilities and consumer sectors rely more on bank loans than corporate bonds. Financials account for over 74% of those bonds maturing in the next 6 months, so beware of those institutions exposed to the utilities and consumer staples sectors.
Both the amount and number of corporate bond defaults decreased in the year to August 2022 compared with the same period last year.
We expect this decrease to reverse in the coming months. While allowing more corporate bond defaults is a good sign that China is learning to price risk properly, the size of likely credit losses bodes ill for growth.
This is surely the last time China can backstop the fallout from its chosen mode of credit-driven development without ultimately triggering major economic, if not political, upheaval.
Appendix
There are five steps to our methodology.
First, we estimate the average GDP return on credit over the period 1985 to 2004. We chose 2004 rather than 2008 as the cut-off point because on our estimates that was when China’s overinvestment started. The return on credit was 0.80, meaning one additional dollar of credit boosted GDP by 80 cents.
Second, we calculate the implied amount of credit used to generate GDP in 2005-2021 at a return of 0.80.
Third, we compare the actual amount of credit with the implied amount of credit in that period. The difference is how much credit is potentially unproductive.
Fourth, we apply an impairment rate to the estimated total of unproductive credit to obtain the amount of bad debt. The impairment rate is calculated using firm-level data from Wind for China’s quoted sector in 2021. It is defined as the share of loans to firms with an interest coverage ratio of 1.5 times to total loans. The interest coverage ratio is earnings before interest and tax divided by interest payments. This proxy for the impairment rate comes out at 20%.
Fifth, the total of impaired credit is multiplied by a loss ratio. Conservatively, the ratio we use is the cash recovery rate of 0.2 based on available CEIC data on China’s asset management companies.
Credit loss table
Credit to all sectors (non-financial corporations, households & the government) | |||
Historical period spans from 1985 to 2004 | |||
Unproductive credit | Rmb, Billions | ||
a. GDP return on credit (1985-2004) | 0.80 | ||
b. GDP increase between 2021 and 2004 | 96,450 | ||
c. Amount of credit used to generate this GDP at a return 0.80 (b/a) | 121,084 | ||
d. Actual credit extended from end-2004 to end-2021 | 303,504 | ||
e. Implied excess (unproductive credit) (d-c) | 182,420 | ||
f. - share of 2021 outstanding credit (f/d) | 55.7% | ||
- share of 2021 GDP | 162.0% | ||
Impairment and loss rates | |||
a. Impairment rates2 | 20% | 24% | |
b. Unproductive credit | 182,420 | 182,420 | |
c. Amount of impaired credit (a*b) | 36,600 | 43,999 | |
d. Loss rate (1- recovery rate1) | 0.79 | ||
e. Estimated loss (c*d) | 29,091 | 34,972 | |
f. - of which banks' share | 24,207 | 29,100 | |
g. Estimated loss in % of 2021 GDP | 26% | 31% | |
Existing buffers in the economy | |||
Banking capital as of Sept 2021 | |||
- Commercial bank: net capital | 27,409 | ||
- Commercial bank: net capital: Tier 1 capital | 22,736 | ||
Fiscal scope | |||
- Government debt in 2021 (in billions) | 82,473 | ||
- Government debt in 2021 (% of GDP) | 73.3% | ||
1 We use cash recovery ratio for conservative purposes 2 Impairment rate of 20%/24% corresponds to the share of firms (IRC data) with an interest coverage ratio (IRC) below 1.5/2.0 | |||
Source: Enodo Economics, CEIC |