(Editor's Note: This article is part of our "China Credit Spotlight" series, which examines the credit conditions for China's top corporates and banks, key sectors, local and regional governments, and structured finance. )
China's push to end local governments' reliance on off-budget debt has so far been ineffective, with state-owned entities (SOEs) continuing to bury liabilities. S&P Global Ratings estimates this is a Chinese renminbi (RMB) 20 trillion (US$3 trillion) problem, with local government hidden debt equal to about one-quarter of Chinese GDP.
The issue presumably keeps policy planners and investors in cold sweats precisely because the debt is hidden. Few know which government-linked vehicle could blow up next, or to what extent the central government or state banks might need to bail out insolvent entities. The solution of central authorities has been to force local governments to drag their liabilities into view, and onto balance sheets. They also want local governments to solve their debt problems with their own resources.
But as local governments contend with rising deficits and indebtedness, those objectives have been eclipsed. Most will be unable to end their dependence on hidden debt over the next two to three years. We expect the level of such debt to stay stable, but that it will become a smaller part of total local government debt, which will increasingly be on balance sheet.
Much of this accounted for in our models. We maintain a stable outlook on the sector's creditworthiness, and we note that no SOE carrying hidden debt has defaulted yet.
Local Governments Still Need Their Funding Vehicles
There are no official data tracking China's off-budget-borrowing. We developed a range of proxy measures using data from WIND, a Chinese financial information company, alongside government and SOE figures.
We focused on the balance-sheet-management of the SOEs where the local government was the largest shareholder. This included financially weak SOEs that operate largely in form of local government financing vehicles (LGFVs) to fund social spending with little cash flow.
LGFV debt served as a proxy for hidden debt, on the view that such liabilities are not on the balance sheet but are ultimately backstopped by the local government.
We found that while the quantity of China's hidden debt problem is steady, the quality of the total debt composition is changing.
Chart 1
Chart 2
Authorities want local governments to stop hiding debt. But it also wants the governments to keep borrowing to fund projects that promote fixed-asset investment targets and GDP growth.
These objectives are often at odds with each other. Local governments would be stretched to borrow more while recognizing billions of dollars in fresh liabilities--investors might flee.
The workaround has been to let local governments continue to hide much of their legacy borrowing, but to force them to put new debt on their balance sheets.
We expect the new debt will focus on projects with cash flows. The hope is that the new debts will be largely self-funding and will not contribute to some fresh credit crisis down the line.
We expect local governments' on-budget borrowings will rise more than 10% over the next two years, supported by central authorities' willingness to let local governments fund capital expenditure (capex) with bond issuance. We project local governments' off-budget debt will rise at the mid-single-digit level only over this period.
Chinese local government debt, including off-budget borrowings, should grow in line with national GDP over the next two years.
Chart 3
Role Of Debt To Hitting Economic Targets
China's local governments need debt more than ever, to plug deficit holes, meet GDP targets, and fund infrastructure. The composition of local government debt is reshaping as these dynamics play out.
We've noted that the provinces with a high dependence on investment-linked growth have struggled to match national GDP targets over the past two years.
Recent controls on LGFV debt have led to a slowdown of new investment in China, especially for infrastructure, with local governments unable to fully take up the slack. If the economy slows down more than expected, we believe that central authorities will allow LGFVs to borrow more to help the country hit its economic growth targets.
Chart 4
While local government bond issuance and bond stock will stay high by global standards, we expect rapid changes in the use of such funds. In addition to refinancing (see, for example, the program to swap LGFV debt for local government debt initiated by central authorities in 2015-2018), new debt will be increasingly put to cash-flow-backed projects.
This debt--so-called special-purpose bonds--will be key to fund local government capex and an important catalyst to commercial projects driven by the private sector. We expect such issuance to surge, with the approval of the central government.
Debt-raising plugging holes in local government budgets
Since 2015 local governments' budget deficits have been widening. We expect this dynamic to persist for the next two years. This can be primarily attributed to tax cuts enacted to promote local growth.
The central government in 2018 cut corporate profit taxes (mainly to benefit small to midsized enterprises) and personal income tax (mainly to benefit the poor), which meant revenue growth for most local governments stayed modest. Increases in capex in 2018 and the first half of 2019 have added to local governments' deficits and debt piles. Capex spending should continue to rise over the next two years.
The central government's commitment to making large cash transfers to local governments was meant to mitigate these deficit challenges. However, the transfers have not kept pace with the wider economy or the commitments of local governments.
Chart 5
The upshot is that, as local governments wrangle their ever-enlarging deficits and spend to support the economy, central authorities have been less willing to press them on that other matter: putting huge blocks of hidden debt onto the balance sheet.
Top Tier Of Local Government Less Burdened By Hidden Debt
In our survey, we looked at top 14 provincial governments, which accounted for about 70% of China's GDP in 2018. We compare their tier-one performance with that of the "whole province" data, which captures the performance of all tiers of local government.
We found a widening gap between the fiscal performance of the top tier of local government and the rest.
China has a highly centralized political system, and a five-level administrative system comprised of the central government and four tiers of local government.
Provinces, autonomous regions, municipalities, and cities with state-planning status comprise China's first tier of local government, and have the strongest ties with the capital.
This tier has sufficient buffers to manage the most severe market or economic disruption. This can be mainly attributed to their better discretion, especially in capex.
Chart 6
China's tier two governments are mainly composed of cities of provinces, prefectures of autonomous regions, and districts of municipalities. These local governments generally operate in deficit because they have large capex responsibilities, but limited fiscal resources.
Lower tiers of local government are often dependent on their tier-one peers, receiving funds from their bond issuance.
Assuming widening deficits among local governments, we believe local governments' access to external funds will remain key to their public finances. In our view, the stronger local governments will be able to issue new bonds to fund important infrastructure projects, easing their funding strains.
We predict the top tier of local government will move out of hidden debt faster than lower-tier peers. The biggest, richest and more politically connected governments have enough funding to end the practice. But the poorer local governments are adding more hidden debt. This means that China's US$3 trillion problem is not going away.
Appendix
Table 1
Local Government Economic Profile | ||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GDP per capita* | GDP* | Real GDP growth (%) | Investment growth % | |||||||||||||||||||||||||||
US$ | RMB | Bil. U$ | Bil. RMB | 2014 | 2015 | 2016 | 2017 | 2018 | 2014 | 2015 | 2016 | 2017 | 2018 | |||||||||||||||||
Beijing | 21,188 | 140,211 | 458 | 3,032 | 7.3 | 6.9 | 6.7 | 6.7 | 6.6 | 7.5 | 8.3 | 5.9 | 5.3 | (5.5) | ||||||||||||||||
Chongqing | 9,964 | 65,933 | 308 | 2,036 | 10.9 | 11.0 | 10.7 | 9.3 | 6.0 | 17.9 | 17.0 | 12.1 | 9.5 | 7.0 | ||||||||||||||||
Fujian | 13,781 | 91,197 | 541 | 3,580 | 9.9 | 9.0 | 8.4 | 8.1 | 8.3 | 19.0 | 17.4 | 9.3 | 13.9 | 11.5 | ||||||||||||||||
Guangdong | 13,058 | 86,412 | 1,470 | 9,728 | 7.8 | 8.0 | 7.5 | 7.5 | 6.8 | 15.9 | 15.9 | 10.0 | 13.5 | 10.7 | ||||||||||||||||
Hebei | 7,219 | 47,772 | 544 | 3,601 | 6.5 | 6.8 | 6.8 | 6.7 | 6.6 | 15.5 | 10.6 | 8.4 | 5.3 | 6.0 | ||||||||||||||||
Henan | 7,579 | 50,152 | 726 | 4,806 | 8.9 | 8.3 | 8.1 | 7.8 | 7.6 | 19.2 | 16.5 | 13.7 | 10.4 | 8.1 | ||||||||||||||||
Hubei | 10,067 | 66,616 | 595 | 3,937 | 9.7 | 8.9 | 8.1 | 7.8 | 7.8 | 19.3 | 16.2 | 13.1 | 11.0 | 11.0 | ||||||||||||||||
Hunan | 8,001 | 52,949 | 550 | 3,643 | 9.5 | 8.6 | 7.9 | 8.0 | 7.8 | 19.4 | 18.4 | 13.8 | 13.1 | 10.0 | ||||||||||||||||
Jiangsu | 17,404 | 115,168 | 1,399 | 9,260 | 8.7 | 8.5 | 7.8 | 7.2 | 6.7 | 15.5 | 10.5 | 7.5 | 7.5 | 5.5 | ||||||||||||||||
Shandong | 11,525 | 76,267 | 1,156 | 7,647 | 8.7 | 8.0 | 7.6 | 7.4 | 6.4 | 15.8 | 13.9 | 10.5 | 7.3 | 4.1 | ||||||||||||||||
Shanghai | 20,398 | 134,982 | 494 | 3,268 | 7.0 | 6.9 | 6.8 | 6.9 | 6.6 | 6.5 | 5.6 | 6.3 | 7.2 | 5.2 | ||||||||||||||||
Sichuan | 7,387 | 48,883 | 615 | 4,068 | 8.5 | 7.9 | 7.7 | 8.1 | 8.0 | 14.7 | 10.2 | 13.1 | 10.6 | 10.2 | ||||||||||||||||
Tianjin | 18,241 | 120,711 | 284 | 1,881 | 10.0 | 9.3 | 9.0 | 3.6 | 3.6 | 15.2 | 12.6 | 8.0 | 0.5 | (5.6) | ||||||||||||||||
Zhejiang | 14,907 | 98,643 | 849 | 5,620 | 7.6 | 8.0 | 7.5 | 7.8 | 7.1 | 16.6 | 13.2 | 10.9 | 8.6 | 7.1 | ||||||||||||||||
China | 9,769 | 64,644 | 13,605 | 90,031 | 7.3 | 6.9 | 6.7 | 6.8 | 6.6 | 15.7 | 10.0 | 8.1 | 7.2 | 5.9 | ||||||||||||||||
*Calendar year 2018. RMB--renminbi. Bil.--billion. Source: National Bureau of Statistics, S&P Global Ratings. |
Table 2a
Local Government Fiscal Profile | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Whole province basis | ||||||||||||||||||||
Total revenue* | Revenue composition (2018) (%) | Balance after capital accounts as % of total revenue† | ||||||||||||||||||
2018 (bil. RMB) | General revenue | Government funds | Transfer payments§ | 2014 | 2015 | 2016 | 2017 | 2018 | ||||||||||||
Beijing | 880 | 65.7 | 22.8 | 11.5 | 7.2 | (10.6) | (10.4) | 1.5 | (15.1) | |||||||||||
Chongqing | 645 | 35.1 | 35.9 | 29.0 | (8.8) | (5.3) | (7.6) | (3.3) | (12.2) | |||||||||||
Fujian | 664 | 45.3 | 38.9 | 15.8 | 1.8 | (9.4) | (6.9) | (10.1) | (17.8) | |||||||||||
Guangdong | 1,979 | 61.2 | 29.8 | 9.1 | 3.1 | (19.4) | (7.8) | (8.1) | (8.3) | |||||||||||
Hebei | 956 | 36.7 | 30.3 | 32.9 | 1.9 | (8.4) | (9.6) | (7.4) | (15.6) | |||||||||||
Henan | 1,159 | 32.5 | 24.9 | 42.6 | 0.0 | (4.6) | (7.0) | (7.8) | (3.7) | |||||||||||
Hubei | 1,005 | 32.9 | 35.2 | 31.9 | 7.3 | (0.8) | (7.0) | (11.3) | (11.8) | |||||||||||
Hunan | 862 | 33.2 | 25.9 | 41.0 | (1.4) | (4.5) | (6.4) | (9.3) | (12.0) | |||||||||||
Jiangsu | 1,867 | 46.2 | 44.0 | 9.7 | 0.4 | (3.0) | (3.5) | (8.4) | (12.0) | |||||||||||
Shandong | 1,541 | 42.1 | 38.9 | 19.0 | (1.0) | (6.2) | (7.3) | (8.8) | (9.6) | |||||||||||
Shanghai | 1,007 | 70.6 | 20.8 | 8.6 | 4.4 | (0.9) | (4.0) | (4.1) | (8.8) | |||||||||||
Sichuan | 1,264 | 30.9 | 30.2 | 38.8 | (2.3) | (3.7) | (8.2) | (6.4) | (8.9) | |||||||||||
Tianjin | 377 | 55.9 | 30.8 | 13.2 | 1.1 | (2.8) | (7.5) | (13.1) | (26.2) | |||||||||||
Zhejiang | 1,644 | 40.1 | 53.1 | 6.7 | 0.7 | (12.4) | (5.2) | (6.2) | (10.8) | |||||||||||
China | 23,996 | 40.8 | 29.8 | 29.4 | 0.1 | (6.8) | (7.0) | (7.6) | (11.4) | |||||||||||
Top 14 LRGs‡ | 15,850 | 45.2 | 34.4 | 20.3 | 1.2 | (7.2) | (6.8) | (7.2) | (11.1) | |||||||||||
*Total revenue: Sum of operating revenue, capital revenue and transfer inflows. §Transfer payments: Both operating account and capital account. †Balance after capital accounts as of total revenue as per S&P Global Ratings criteria. ‡Local and regional governments--refers to top 10 tier-one governments as measured by GDP scale, and all four municipal governments. RMB--renminbi. Bil.--billion. Source: Local government fiscal reports, Ministry of Finance, S&P Global Ratings. |
Table 2b
Local Government Fiscal Profile | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tier-one local government | ||||||||||||||||||||
Total revenue* | Revenue composition (2018)(%) | Balance after capital accounts as % of total revenue† | ||||||||||||||||||
2018 (bil. RMB) | General revenue | Government funds | Transfer payments§ | 2014 | 2015 | 2016 | 2017 | 2018 | ||||||||||||
Beijing | 596.9 | 56.4 | 15.2 | 28.5 | 5.6 | (8.0) | (6.4) | 3.7 | (9.9) | |||||||||||
Chongqing | 415.4 | 20.7 | 29.1 | 50.2 | (3.0) | (4.9) | (2.7) | 1.6 | (8.7) | |||||||||||
Fujian | 155.4 | 17.0 | 1.8 | 81.2 | (12.0) | (28.3) | 0.7 | 3.7 | 1.5 | |||||||||||
Guangdong | 544.6 | 57.5 | 1.2 | 41.4 | (7.1) | (16.2) | 5.2 | 0.1 | (0.8) | |||||||||||
Hebei | 418.0 | 17.9 | 5.6 | 76.5 | (0.1) | (3.3) | (1.8) | (0.8) | (0.9) | |||||||||||
Henan | 534.0 | 3.9 | 5.1 | 91.0 | 0.2 | (3.6) | (1.9) | (2.6) | (1.4) | |||||||||||
Hubei | 411.9 | 3.5 | 3.7 | 92.8 | 2.3 | (7.9) | (0.3) | (0.8) | (2.8) | |||||||||||
Hunan | 431.6 | 11.9 | 3.7 | 84.4 | (2.5) | (6.2) | (4.8) | (4.1) | (5.4) | |||||||||||
Jiangsu | 393.9 | 6.8 | 3.2 | 90.0 | 0.3 | (1.3) | 1.5 | 2.1 | (5.9) | |||||||||||
Shandong | 365.2 | 6.5 | 2.0 | 91.6 | (2.1) | (7.3) | (6.7) | (4.9) | (4.8) | |||||||||||
Shanghai | 503.5 | 66.8 | 12.2 | 21.1 | 7.8 | 3.0 | (2.0) | 4.8 | (7.5) | |||||||||||
Sichuan | 597.7 | 13.2 | 1.0 | 85.7 | (0.4) | (1.2) | (2.8) | 0.8 | 0.3 | |||||||||||
Tianjin | 186.4 | 46.4 | 24.3 | 29.3 | (1.7) | (7.3) | (2.2) | (13.1) | (13.5) | |||||||||||
Zhejiang | 280.5 | 11.1 | 2.9 | 86.0 | 7.5 | (17.0) | (0.6) | (5.2) | (3.6) | |||||||||||
China | N.A. | N.A. | N.A. | N.A. | 0.0 | (5.3) | (2.5) | (2.0) | N.A. | |||||||||||
Top 14 LRGs‡ | 5,835.0 | 25.8 | 7.6 | 66.6 | 0.2 | (6.3) | (1.8) | (0.3) | (4.4) | |||||||||||
*Total revenue: sum of operating revenue, capital revenue and transfer inflows. §Transfer payments: both operating account and capital account. †Balance after capital as of total revenue as per S&P Global Ratings criteria. ‡Local and regional governments--refers to top 10 tier-one governments as measured by GDP scale, and all four municipal governments. RMB--renminbi. Bil.--billion. N.A.--Not available. Source: Local government fiscal reports, Ministry of Finance, S&P Global Ratings. |
Table 3
Local Government Official Debt Composition | ||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Whole province basis | Tier-one local government | |||||||||||||||||||||||||||
Province | Official government debt* (bil. RMB) | 2018 official debt stock | 2018 official debt stock | |||||||||||||||||||||||||
2014 | 2015 | 2016 | 2017 | 2018 | Debt owed for projects with no cash flow§ | Debt owed for cash-flow-backed projects | Official debt to GDP (%) | Official debt to adjusted operating revenue§ (%) | Adjusted official debt† (bil. RMB) | Debt owed for projects with no cash flow§ | Debt owned for cash-flow-backed projects | Adjusted official debt† to adjusted operating revenue§ (%) | ||||||||||||||||
Beijing | 638 | 573 | 374 | 388 | 425 | 203 | 221 | 14.0 | 62.6 | 160 | 100 | 60 | 32.8 | |||||||||||||||
Chongqing | 325 | 338 | 374 | 402 | 469 | 236 | 233 | 23.0 | 115.2 | 142 | 63 | 79 | 50.4 | |||||||||||||||
Fujian | 416 | 422 | 449 | 490 | 542 | 260 | 282 | 15.1 | 134.0 | 10 | 9 | 1 | 6.9 | |||||||||||||||
Guangdong | 849 | 819 | 840 | 891 | 996 | 529 | 467 | 10.2 | 71.8 | 105 | 90 | 15 | 19.5 | |||||||||||||||
Hebei | 548 | 531 | 569 | 615 | 728 | 456 | 271 | 20.2 | 109.6 | 71 | 67 | 4 | 18.2 | |||||||||||||||
Henan | 534 | 547 | 552 | 555 | 654 | 406 | 248 | 13.6 | 75.4 | 88 | 73 | 15 | 17.4 | |||||||||||||||
Hubei | 444 | 457 | 510 | 572 | 668 | 374 | 293 | 17.0 | 103.4 | 34 | - | - | 8.7 | |||||||||||||||
Hunan | 627 | 615 | 683 | 767 | 871 | 558 | 313 | 23.9 | 137.1 | 170 | 143 | 27 | 41.4 | |||||||||||||||
Jiangsu | 1,064 | 1,056 | 1,092 | 1,203 | 1,329 | 665 | 663 | 14.3 | 127.7 | 53 | 51 | 2 | 14.0 | |||||||||||||||
Shandong | 821 | 814 | 849 | 913 | 1,144 | 637 | 506 | 15.0 | 122.2 | 92 | 66 | 26 | 26.0 | |||||||||||||||
Shanghai | 581 | 488 | 449 | 469 | 503 | 264 | 239 | 15.4 | 63.3 | 71 | 36 | 35 | 16.2 | |||||||||||||||
Sichuan | 749 | 747 | 781 | 850 | 930 | 547 | 383 | 22.9 | 106.6 | 59 | 59 | - | 10.1 | |||||||||||||||
Tianjin | 250 | 238 | 291 | 342 | 408 | 140 | 268 | 21.7 | 156.7 | 153 | 42 | 111 | 108.8 | |||||||||||||||
Zhejiang | 685 | 643 | 699 | 770 | 1,079 | 581 | 499 | 19.2 | 140.7 | 37 | 21 | 16 | 13.7 | |||||||||||||||
China | 15,400 | 16,000 | 15,400 | 16,471 | 18,386 | 10,994 | 7,392 | 20.4 | 109.7 | N.A. | N.A. | N.A. | N.A. | |||||||||||||||
Top 14 LRGs | 8,531 | 8,288 | 8,512 | 9,227 | 10,745 | 5,857 | 4,888 | 16.5 | 122.4 | 1,246 | 821 | 390 | 23.4 | |||||||||||||||
*Debt explicitly under local-government legal name, including bonds and non-bonds. §Adjusted operating revenue: operating revenue plus operating transfer inflow. †Adjusted official debt: Local-government direct debt after deducting on-lent debt to lower tier governments. N.A.--Not available. RMB--renminbi. Bil.--billion. LRGs--Local and regional governments. Source: Local government fiscal reports, Ministry of Finance, S&P Global Ratings. |
Table 4
Local Government SOE Debt Profile | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Whole province basis | Tier one local government | |||||||||||||||||||
Total SOE debt* (bil. RMB) | Total SOE debt % to GDP | LGFV debt (bil. RMB)§ | Total local-government debt and LGFV debt as % of consolidated revenues † | Total SOE debt‡ (bil. RMB) | Provincial SOE debt as % whole province total SOE debt | LGFV debt§ (bil. RMB) | Total local-government debt and LGFV debt as % of consolidated revenues † | Total local-government debt (without on-lent debt) and LGFV debt as a % of consolidated revenues | ||||||||||||
Beijing | 4,476 | 147.6 | 1000-1500 | 60-120 | 1,859 | 41.5 | 300-500 | 60-120 | 60-120 | |||||||||||
Chongqing | 1,366 | 67.1 | 500-1000 | 120-240 | 461 | 33.8 | 300-500 | 120-240 | 60-120 | |||||||||||
Fujian | 1,382 | 38.6 | <500 | 60-120 | 413 | 29.9 | 100-300 | >240 | 60-120 | |||||||||||
Guangdong | 3,196 | 32.9 | 1000-1500 | 60-120 | 575 | 18.0 | 300-500 | 120-240 | 60-120 | |||||||||||
Hebei | 1,146 | 31.8 | <500 | 60-120 | 599 | 52.3 | 100-300 | 120-240 | <60 | |||||||||||
Henan | 1,400 | 29.1 | 500-1000 | 60-120 | 630 | 45.0 | 300-500 | 120-240 | 60-120 | |||||||||||
Hubei | 1,746 | 44.4 | 1000-1500 | 120-240 | 384 | 22.0 | 300-500 | 120-240 | 60-120 | |||||||||||
Hunan | 1,669 | 45.8 | 1000-1500 | 120-240 | 32 | 1.9 | <100 | 120-240 | <60 | |||||||||||
Jiangsu | 5,591 | 60.4 | >1500 | >240 | 318 | 5.7 | 100-300 | >240 | <60 | |||||||||||
Shandong | 3,053 | 39.9 | 500-1000 | 60-120 | 1,324 | 43.4 | 100-300 | 120-240 | 60-120 | |||||||||||
Shanghai | 1,870 | 57.2 | <500 | 60-120 | 644 | 34.4 | 100-300 | 60-120 | <60 | |||||||||||
Sichuan | 2,698 | 66.3 | 1000-1500 | 120-240 | 665 | 24.6 | <100 | 120-240 | <60 | |||||||||||
Tianjin | 2,132 | 113.3 | >1500 | >240 | 819 | 38.4 | >500 | >240 | >240 | |||||||||||
Zhejiang | 3,146 | 56.0 | >1500 | 120-240 | 320 | 10.2 | 100-300 | 120-240 | <60 | |||||||||||
*Total SOE debt: debt of SOEs with oustanding onshore bonds. §Local government financing vehicles. Refers to SOE debt of SOEs that S&P Global Ratings deems as financially or operationally dependent on a local government †Consolidated operating revenues: Local government operating revenues, plus operating revenue generated by referenced SOEs. ‡Total SOE debt: debt of provincial-level SOEs with outstanding onshore bond. SOE--State-owned enterprise. Source: WIND, local government fiscal reports, Ministry of Finance, S&P Global Ratings. |
Related Research
- Institutional Framework Assessments For International Local And Regional Governments, July 4, 2019
- Credit Conditions Asia-Pacific: Return Of Uncertainty, June 27, 2019
- How Can China Cut Taxes And Maintain Low Budget Deficits?, March 11, 2019
- Lifting The Lid On China's Local And Regional Government Debt Levels, Oct. 16, 2018
- Chinese LRG Risk Indicators By Province, Oct. 16, 2018
This report does not constitute a rating action.
Primary Credit Analyst: | Susan Chu, Hong Kong (852) 2912-3055; susan.chu@spglobal.com |
Secondary Contacts: | Felix Ejgel, London (44) 20-7176-6780; felix.ejgel@spglobal.com |
KimEng Tan, Singapore (65) 6239-6350; kimeng.tan@spglobal.com | |
Research Assistant: | Sandy Ng, Hong Kong |
No content (including ratings, credit-related analyses and data, valuations, model, software or other application or output therefrom) or any part thereof (Content) may be modified, reverse engineered, reproduced or distributed in any form by any means, or stored in a database or retrieval system, without the prior written permission of Standard & Poor’s Financial Services LLC or its affiliates (collectively, S&P). The Content shall not be used for any unlawful or unauthorized purposes. S&P and any third-party providers, as well as their directors, officers, shareholders, employees or agents (collectively S&P Parties) do not guarantee the accuracy, completeness, timeliness or availability of the Content. S&P Parties are not responsible for any errors or omissions (negligent or otherwise), regardless of the cause, for the results obtained from the use of the Content, or for the security or maintenance of any data input by the user. The Content is provided on an “as is” basis. S&P PARTIES DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, FREEDOM FROM BUGS, SOFTWARE ERRORS OR DEFECTS, THAT THE CONTENT’S FUNCTIONING WILL BE UNINTERRUPTED OR THAT THE CONTENT WILL OPERATE WITH ANY SOFTWARE OR HARDWARE CONFIGURATION. In no event shall S&P Parties be liable to any party for any direct, indirect, incidental, exemplary, compensatory, punitive, special or consequential damages, costs, expenses, legal fees, or losses (including, without limitation, lost income or lost profits and opportunity costs or losses caused by negligence) in connection with any use of the Content even if advised of the possibility of such damages.
Credit-related and other analyses, including ratings, and statements in the Content are statements of opinion as of the date they are expressed and not statements of fact. S&P’s opinions, analyses and rating acknowledgment decisions (described below) are not recommendations to purchase, hold, or sell any securities or to make any investment decisions, and do not address the suitability of any security. S&P assumes no obligation to update the Content following publication in any form or format. The Content should not be relied on and is not a substitute for the skill, judgment and experience of the user, its management, employees, advisors and/or clients when making investment and other business decisions. S&P does not act as a fiduciary or an investment advisor except where registered as such. While S&P has obtained information from sources it believes to be reliable, S&P does not perform an audit and undertakes no duty of due diligence or independent verification of any information it receives. Rating-related publications may be published for a variety of reasons that are not necessarily dependent on action by rating committees, including, but not limited to, the publication of a periodic update on a credit rating and related analyses.
To the extent that regulatory authorities allow a rating agency to acknowledge in one jurisdiction a rating issued in another jurisdiction for certain regulatory purposes, S&P reserves the right to assign, withdraw or suspend such acknowledgment at any time and in its sole discretion. S&P Parties disclaim any duty whatsoever arising out of the assignment, withdrawal or suspension of an acknowledgment as well as any liability for any damage alleged to have been suffered on account thereof.
S&P keeps certain activities of its business units separate from each other in order to preserve the independence and objectivity of their respective activities. As a result, certain business units of S&P may have information that is not available to other S&P business units. S&P has established policies and procedures to maintain the confidentiality of certain non-public information received in connection with each analytical process.
S&P may receive compensation for its ratings and certain analyses, normally from issuers or underwriters of securities or from obligors. S&P reserves the right to disseminate its opinions and analyses. S&P's public ratings and analyses are made available on its Web sites, www.standardandpoors.com (free of charge), and www.ratingsdirect.com and www.globalcreditportal.com (subscription), and may be distributed through other means, including via S&P publications and third-party redistributors. Additional information about our ratings fees is available at www.standardandpoors.com/usratingsfees.
Any Passwords/user IDs issued by S&P to users are single user-dedicated and may ONLY be used by the individual to whom they have been assigned. No sharing of passwords/user IDs and no simultaneous access via the same password/user ID is permitted. To reprint, translate, or use the data or information other than as provided herein, contact S&P Global Ratings, Client Services, 55 Water Street, New York, NY 10041; (1) 212-438-7280 or by e-mail to: research_request@spglobal.com.