Loading [MathJax]/jax/output/SVG/jax.js
Research article

The spread of debt risk from real estate companies to banks: Evidence from China

  • The recent real estate debt crisis in China has dealt a huge blow to the banking sector. To address this challenge, we construct a dynamic game model that considers the interaction of the government, banks and real estate companies. The model is used to analyze the default behavior of real estate companies and loan losses for banks when facing information asymmetry. In addition, we empirically demonstrate the contagion effect of debt risk of real estate companies to banks, using a sample of 119 listed real estate companies and 42 listed banks in China from 2001 to 2020. The results show the following. (1) The debt risk associated with non-state-owned real estate companies is more likely to be contagious to banks compared to state-owned real estate companies. (2) The contagion effect of debt risk of real estate companies to banks is more significant among small and medium-sized banks. (3) The debt risk of non-state-owned real estate companies is most contagious for rural banks, followed by urban banks. Further tests show that the rising debt risk of non-state-owned real estate companies significantly increases the asset risk of small and medium-sized banks. This effect is reinforced through the liquidity channel. This implies that controlling the contagion of debt risk of non-state-owned real estate companies to small and medium-sized banks is an effective way to prevent the occurrence of banking crises.

    Citation: Yonghong Zhong, Junhao Zhong. The spread of debt risk from real estate companies to banks: Evidence from China[J]. Quantitative Finance and Economics, 2023, 7(3): 371-390. doi: 10.3934/QFE.2023018

    Related Papers:

    [1] Eunha Shim . Optimal strategies of social distancing and vaccination against seasonal influenza. Mathematical Biosciences and Engineering, 2013, 10(5&6): 1615-1634. doi: 10.3934/mbe.2013.10.1615
    [2] Hamed Karami, Pejman Sanaei, Alexandra Smirnova . Balancing mitigation strategies for viral outbreaks. Mathematical Biosciences and Engineering, 2024, 21(12): 7650-7687. doi: 10.3934/mbe.2024337
    [3] Pannathon Kreabkhontho, Watchara Teparos, Thitiya Theparod . Potential for eliminating COVID-19 in Thailand through third-dose vaccination: A modeling approach. Mathematical Biosciences and Engineering, 2024, 21(8): 6807-6828. doi: 10.3934/mbe.2024298
    [4] Sarafa A. Iyaniwura, Musa Rabiu, Jummy F. David, Jude D. Kong . Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study. Mathematical Biosciences and Engineering, 2021, 18(6): 8905-8932. doi: 10.3934/mbe.2021439
    [5] Lili Liu, Xi Wang, Yazhi Li . Mathematical analysis and optimal control of an epidemic model with vaccination and different infectivity. Mathematical Biosciences and Engineering, 2023, 20(12): 20914-20938. doi: 10.3934/mbe.2023925
    [6] Antonios Armaou, Bryce Katch, Lucia Russo, Constantinos Siettos . Designing social distancing policies for the COVID-19 pandemic: A probabilistic model predictive control approach. Mathematical Biosciences and Engineering, 2022, 19(9): 8804-8832. doi: 10.3934/mbe.2022409
    [7] Seyedeh Nazanin Khatami, Chaitra Gopalappa . Deep reinforcement learning framework for controlling infectious disease outbreaks in the context of multi-jurisdictions. Mathematical Biosciences and Engineering, 2023, 20(8): 14306-14326. doi: 10.3934/mbe.2023640
    [8] Avinash Shankaranarayanan, Hsiu-Chuan Wei . Mathematical modeling of SARS-nCoV-2 virus in Tamil Nadu, South India. Mathematical Biosciences and Engineering, 2022, 19(11): 11324-11344. doi: 10.3934/mbe.2022527
    [9] Chloe Bracis, Mia Moore, David A. Swan, Laura Matrajt, Larissa Anderson, Daniel B. Reeves, Eileen Burns, Joshua T. Schiffer, Dobromir Dimitrov . Improving vaccination coverage and offering vaccine to all school-age children allowed uninterrupted in-person schooling in King County, WA: Modeling analysis. Mathematical Biosciences and Engineering, 2022, 19(6): 5699-5716. doi: 10.3934/mbe.2022266
    [10] Amira Bouhali, Walid Ben Aribi, Slimane Ben Miled, Amira Kebir . Impact of immunity loss on the optimal vaccination strategy for an age-structured epidemiological model. Mathematical Biosciences and Engineering, 2024, 21(6): 6372-6392. doi: 10.3934/mbe.2024278
  • The recent real estate debt crisis in China has dealt a huge blow to the banking sector. To address this challenge, we construct a dynamic game model that considers the interaction of the government, banks and real estate companies. The model is used to analyze the default behavior of real estate companies and loan losses for banks when facing information asymmetry. In addition, we empirically demonstrate the contagion effect of debt risk of real estate companies to banks, using a sample of 119 listed real estate companies and 42 listed banks in China from 2001 to 2020. The results show the following. (1) The debt risk associated with non-state-owned real estate companies is more likely to be contagious to banks compared to state-owned real estate companies. (2) The contagion effect of debt risk of real estate companies to banks is more significant among small and medium-sized banks. (3) The debt risk of non-state-owned real estate companies is most contagious for rural banks, followed by urban banks. Further tests show that the rising debt risk of non-state-owned real estate companies significantly increases the asset risk of small and medium-sized banks. This effect is reinforced through the liquidity channel. This implies that controlling the contagion of debt risk of non-state-owned real estate companies to small and medium-sized banks is an effective way to prevent the occurrence of banking crises.



    Let (X,Θ) be a dlt pair, projective over a base scheme S, and H an R-divisor that is ample over S. As we run the (X,Θ)-MMP over S with scaling of H as in Definition 1, at the ith step there are 3 possibilities.

    ● (Divisorial) XiϕiZi=Xi+1,

    ● (Flipping) XiϕiZiϕ+i(Xi)+=Xi+1.

    ● (Mixed) XiϕiZi, whose exceptional set contains a divisor, followed by a small modification ZiψiXi+1.

    Note that the mixed case can occur only if either Xi is not Q-factorial or ϕi contracts an extremal face of dimension 2. In most treatments this is avoided by working with Q-factorial varieties and choosing H sufficiently general.

    We can almost always choose the initial X to be nonsingular, but frequently other considerations constrain the choice of H.

    Our aim is to discuss a significant special case where the Xi are not Q-factorial and we do contract extremal faces of dimension 2, but still avoid the mixed case. This has several applications, some of which are discussed in Section 2.

    Definition 1 (MMP with scaling). Let X,S be Noetherian, normal schemes and g:XS a projective morphism. Let Θ be an R-divisor on X and H an R-Cartier, R-divisor on X. Assume that KX+Θ+rXH is g-ample for some rX.

    By the (X,Θ)-MMP with scaling of H we mean a sequence of normal, projective schemes gj:XjS and birational contractions τj:XjXj+1, together with real numbers rX=r0>r1, that are constructed by the following process.

    We start with (X1,Θ1,H1):=(X,Θ,H) and r0=rX. If D is any R-divisor on X, we let Dj denote its birational transform on Xj.

    If Xj,Θj,Hj are already defined, we let rj<rj1 be the unique real number for which KXj+Θj+rjHj is gj-nef but not gj-ample. Then the jth step of the MMP is a diagram

    (Xj,Θj)ϕjZjψj(Xj+1,Θj+1)gjgj+1S (1.1)

    where

    (2) ϕj is the contraction defined by KXj+Θj+rjHj,

    (3) ψj is small, and

    (4) KXj+1+Θj+1+(rjϵ)Hj+1 is gj+1-ample for 0<ϵ1.

    Note that (4) implies that Hj+1 must be R-Cartier.

    In general such a diagram need not exist, but if it does, it is unique and then Xj+1,Θj+1,Hj+1 satisfy the original assumptions. Thus, as far as the existence of MMP-steps is concerned, we can focus on the 1st step. In this case it is customary to drop the upper indices and write (1.1) as

    (X,Θ)ϕZϕ+(X+,Θ+)gg+S (1.5)

    We say that the MMP terminates with gj:XjS if

    (6) either KXj+Θj is gj-nef, in which case (Xj,Θj) is called a minimal model of (X,Θ),

    (7) or ϕj:XjZj exists and dimZj<dimXj; then ϕj is called a Fano contraction.

    Warning 1.8. Our terminology is slightly different from [7], where it is assumed that Xj/Zj has relative Picard number 1, and rj=rj1 is allowed. In effect, we declare that the composite of all [7]-steps with the same value of r is a single step for us. Thus we sometimes contract an extremal face, not just an extremal ray.

    One advantage is that our MMP steps are uniquely determined by the starting data. This makes it possible to extend the theory to algebraic spaces [33].

    Theorem 2 is formulated for Noetherian base schemes. We do not prove any new results about the existence of flips, but Theorem 2 says that if the MMP with scaling exists and terminates, then its steps are simpler than expected, and the end result is more controlled than expected.

    On the other hand, for 3-dimensional schemes, Theorem 2 can be used to conclude that, in some important cases, the MMP runs and terminates, see Theorem 9.

    Theorem 2. Let Y be a Noetherian, normal scheme and g:XY a projective, birational morphism with reduced exceptional divisor E=E1++En. Assume the following (which are frequently easy to achieve, see Paragraphs 7-8).

    (i) (X,Θ) is dlt and the Ei are Q-Cartier.

    (ii) KX+ΘgEΘ, where EΘ=eiEi.

    (iii) H=hiEi, where H is effective and suppH=E=Ex(g).

    (iv) KX+Θ+rXH is g-ample for some rX>0.

    (v) The hi are linearly independent over Q(e1,,en).

    We run the (X,Θ)-MMP with scaling of H. Assume that we reached the jth step as in (1.1). Then the following hold.

    (1) Ex(ϕj)supp(Ej) and

    (a) either Ex(ϕj) is an irreducible divisor and Xj+1=Zj,

    (b) or ϕj is small, and there are irreducible components Eji1,Eji2 of Ej such that Eji1 and Eji2 are both ϕj-ample.

    (2) The Ej+1i are all Q-Cartier.

    (3) Ej+1Θ+(rjϵ)Hj+1 is a gj+1-ample R-divisor supported on Ex(gj+1) for 0<ϵ1.

    Furthermore, if the MMP terminates with gm:XmY, then

    (4) EmΘ is effective, suppEmΘ=g1m(gm(suppEmΘ)), and

    (5) if EmΘ is effective and suppEΘ=E, then Xm=Y.

    Remark 2.6. In applications the following are the key points:

    (a) We avoided the mixed case.

    (b) In the fipping case we have both ϕ-positive and ϕ-negative divisors.

    (c) In (3) we have an explicit, relatively ample, exceptional R-divisor.

    (d) In case (5) we end with Xm=Y (not with an unknown, small modification of Y).

    (e) In case (5) the last MMP step is a divisorial contraction, giving what [35] calls a Kollár component; no further flips needed.

    Proof. Assertions (1-3) concern only one MMP-step, so we may as well drop the index j and work with the diagram (1.5). Thus assume that KX+Θ+(r+ϵ)H is g-ample, KX+Θ+rH is g-nef and it determines the contraction ϕ:XZ.

    Let N1(X/Z) be the relative cone of curves. The Ei give elements of the dual space N1(X/Z). If CX is contracted by ϕ then we have a relation

    hi(EiC)=r1(EΘC). (2.7)

    By Lemma 3 this shows that the Ei are proportional, as functions on N1(X/Z). Let C be another contracted curve; set e:=(EΘC) and e:=(EΘC). Using (2.7) for C and C, we can eliminate r to get that

    hi(e(EiC)e(EiC))=0. (2.8)

    By the linear independence of the hi this implies that e(EiC)=e(EiC) for every i. That is, all contracted curves are proportional, as functions on E1,,EnRRn. Informally speaking, as far as the Ei are concerned, N1(X/Z) behaves as if it were 1-dimensional.

    Assume first that ϕ contracts some divisor, call it E1. Then (E1C)<0 for some contracted curve CE1, hence (E1C)<0 for every contracted curve C. Thus Ex(ϕ0)=E1. We also know that

    ϕ(EΘ+rH)=i>1(ei+rhi)ϕ(Ei)

    is R-Cartier on Z and Z/Y-ample, where r is computed by (2.7). So, by Lemma 4, the {ei+rhi:i>1} are linearly independent over Q, hence the ϕ(Ei) are Q-Cartier on Z by Lemma 5. Thus ϕ(EΘ)=i>1eiϕ(Ei) is R-Cartier, hence X1=Z. This proves (2-3) in the divisorial contraction case.

    Otherwise ϕ is small, let C be a contracted curve. Since (HC)>0, we get that (E1C)<0 for some E1. So CE1. By [22,3.39] EΘ+rH is anti-effective and

    g1(g(supp(EΘ+rH)))=supp(EΘ+rH). (2.9)

    If E1 has coefficient 0 in EΘ+rH then let C1E1 be any curve contracted by g and not contained in the other Ei for i>1. Then C1 is disjoint from supp(EΘ+rH) by (2.9), hence (C1EΘ+rH)=0. Varying C1 shows that E1 is contracted by ϕ, a contradiction.

    Thus E1 appears in EΘ+rH with negative coefficient, contributing a positive term to the intersection ((EΘ+rH)C)=0. So there is another divisor E2Ex(g) such that (E2C)>0. This shows (1.b).

    Assume next that the flip ϕ+:X+Z exists. Since ϕ+ is small, supp(E+Θ+rH+) contains all X+/Y-exceptional divisors. In particular, E+Θ+(rϵ)H+ is still anti-effective for 0<ϵ1. By definition E+Θ+(rϵ)H+ is X+/Y-ample and its support is the whole X+/Y-exceptional locus. Thus we also have (2-3) in the flipping case.

    Finally, if the MMP terminates with gm:XmY then EmΘ is a gm-nef, exceptional R-divisor. Thus EmΘ is effective and suppEmΘ=g1m(gm(suppEmΘ)) by [22,3.39], proving (4). In case (5) this implies that Ex(gm) does not contain any divisor, but, by (3) it supports a gm-ample divisor. Thus dimEx(gm)=0, hence Xm=Y.

    Lemma 3. Let V be a K-vectorspace with vectors viV. Let L/K be a field extension and h1,,hnL linearly independent over K. Assume that

    ni=1hivi=γv0  for  some  γL.

    Then dimKv1,,vn1.

    Proof. We may assume that dimV=2. Choose a basis and write vi=(ai,bi). Then

    ni=1hiai=γa0  and  ni=1hibi=γb0.

    This gives that

    ni=1hi(b0aia0bi)=0.

    Since the hi are linearly independent over K, this implies that b0aia0bi=0 for every i. That is vi(b0,a0)t=0 for every i.

    Lemma 4. Let L/K be a field extension and h0,,hnL linearly independent over K. Let γ1=ni=0rihi for some riK with r00. Then, for any eiK, the e1+γh1,,en+γhn are linearly independent over K.

    Proof. Assume that ni=1si(ei+γhi)=0, where siK. It rearranges to

    ni=1sihi=(ni=1siei)ni=0rihi.

    If ni=1siei=0 then the s1,,sn are all zero since the hi are linearly independent over K. Otherwise we get a contradiction since the coefficient of h0 is nonzero.

    The following is a slight modifications of [3,Lem.1.5.1]; see also [17,5.3].

    Lemma 5. Let X be a normal scheme, Di Q-divisors and d1,,dnR linearly independent over Q. Then diDi is R-Cartier iff each Di is Q-Cartier.

    Comments on Q-factoriality. Theorem 2 may sound unexpected from the MMP point of view, but it is quite natural if one starts with the following conjecture, which is due, in various forms, to Srinivas and myself, cf. [26].

    Conjecture 6. Let X be a normal variety, xX a closed point and {DXi:iI} a finite set of prime divisors on X. Then there is a normal variety Y, a closed point yY and prime divisors {DYi:iI} on Y such that the following hold.

    (1) The class group of the local ring Oy,Y is generated by KY and the DYi.

    (2) The completion of (X,DXi) at x is isomorphic to the completion of (Y,DYi) at y.

    Using [30,Tag 0CAV] one can reformulate (6.2) as a finite type statement:

    (3) There are elementary étale morphisms

    (x,X,DXi)(u,U,DUi)(y,Y,DYi).

    Almost all resolution methods commute with étale morphisms, thus if we want to prove something about a resolution of X, it is likely to be equivalent to a statement about resolutions of Y. In particular, if something holds for the Q-factorial case, it should hold in general. This was the reason why I believed that Theorem 2 should work out.

    A positive answer to Conjecture 6 (for I=) is given for isolated complete intersections in [26] and for normal surface singularities in [27].

    (Note that [27] uses an even stronger formulation: Every normal, analytic singularity has an algebraization whose class group is generated by the canonical class. This is, however, not true, since not every normal, analytic singularity has an algebraization.)

    Existence of certain resolutions.

    7 (The assumptions 2.i-v). In most applications of Theorem 2 we start with a normal pair (Y,ΔY) where ΔY is a boundary, and want to find g:XY and Θ that satisfy the conditions (2.i-v).

    Typically we choose a log resolution g:X(Y,ΔY). That is, g is birational, X is regular, ΔX:=g1ΔY, E=Ex(g) and E+ΔX is a simple normal crossing divisor. Then we choose ΔXΘE+ΔX; that is, we are free to choose the coefficients of the Ei in [0,1]. Then (2.i) holds and if KY+ΔY is R-Cartier then so does (2.ii). There are also situations where one can use the theorem to show that numerical equivalence in (2.ii) implies R-linear equivalence; see [6,9.12].

    We want KX+Θ+rH to be g-ample for some r, which is easiest to achieve if H is g-ample. Thus we would like H to be g-ample and g-exceptional for (2.iii-iv) to hold. If X is regular (or at least Q-factorial) then we can wiggle the coefficients of H to achieve (2.v).

    The existence of a g-ample and g-exceptional Q-divisor is somewhat subtle, we discuss it next.

    8 (Ample, exceptional divisors). Assume that we blow up an ideal sheaf IOY to get π1:Y1Y. The constant sections of OY give an isomorphism OY1(1)OY1(E1) where E1 is supported on π11supp(OY/I). Thus, if Y is normal and supp(OY/I) has codimension 2, then E1 is π1-ample and π1-exceptional. A composite of such blow-ups also has an ample, exceptional Q-divisor. Since Hironaka-type resolutions use only such blow-ups, we get the following. (See [32] for the most general case and [18] for an introduction.)

    Claim 8.1. Let Y be a Noetherian, quasi-excellent scheme over a field of characteristic zero. Then any proper, birational YY is dominated by a log resolution g:XY that has a g-ample and g-exceptional Q-divisor.

    Resolution of singularities is also known for 3-dimensional excellent schemes [10], but in its original form it does not guarantee projectivity in general. Nonetheless, combining [6,2.7] and [23,Cor.3] we get the following.

    Claim 8.2. Let Y be a normal, integral, quasi-excellent scheme of dimension at most three that is separated and of finite type over an affine, quasi-excellent scheme S. Then any proper, birational YY is dominated by a log resolution g:XY that has a g-ample and g-exceptional Q-divisor.

    Next we mention some applications. In each case we use Theorem 2 to modify the previous proofs to get more general results. We give only some hints as to how this is done, we refer to the original papers for definitions and details of proofs.

    The first two applications are to dlt 3-folds. In both cases Theorem 2 allows us to run MMP in a way that works in every characteristic and also for bases that are not Q-factorial.

    Relative MMP for dlt 3-folds.

    Theorem 9. Let (Y,Δ) be a 3-dimensional, normal, Noetherian, excellent pair such that KY+Δ is R-Cartier and Δ is a boundary. Let g:XY be a log resolution with exceptional divisor E=Ei. Assume that E supports a g-ample R-divisor H (we can then choose its coefficients sufficiently general).

    Then the MMP over Y, starting with (X0,Θ0):=(X,E+g1Δ) with scaling of H runs and terminates with a minimal model gm:(Xm,Θm)Y. Furthermore,

    (1) each step XiXi+1 of this MMP is

    (a) either a contraction ϕi:XiXi+1, whose exceptional set is an irreducible component of Ei,

    (b) or a flip XiϕiZiψi(Xi)+=Xi+1, and there are irreducible components Eii1,Eii2 such that Eii1, and Eii2 are both ϕi-ample,

    (2) Ex(gm) supports a gm-ample R-divisor, and

    (3) if either (Y,Δ) is plt, or (Y,Δ) is dlt and g is thrifty [20,2.79], then Xm=Y.

    Proof. Assume first that the MMP steps exist and the MMP terminates. Note that

    KX+E+g1ΔRg(KY+Δ)+j(1+a(Ej,Y,Δ))Ejg,Rj(1+a(Ej,Y,Δ))Ej=:EΘ.

    We get from Theorem 2 that (1.a-b) are the possible MMP-steps, and (2-3) from Theorem 15-5.

    For existence and termination, all details are given in [6,9.12].

    However, I would like to note that we are in a special situation, which can be treated with the methods that are in [1,29], at least when the closed points of Y have perfect residued fields

    The key point is that everything happens inside E. We can thus understand the whole MMP by looking at the 2-dimensional scheme E. This is easiest for termination, which follows from [1,Sec.7].

    Contractions for reducible surfaces have been treated in [1,Secs.11-12], see also [12,Chap.6] and [31].

    The presence of Eii1,Eii2 means that the flips are rather special; called 1-complemented flips in [29] and easy flips in [1,Sec.20]. I believe that the methods of [1,29] prove the existence of 1-complemented 3-fold flips in our case; but the details have not been written down.

    The short note [34] explains how [15,3.4] gives 1-complemented 3-fold flips; see [16,3.1 and 4.3] for stronger results.

    Inversion of adjunction for 3-folds. Using Theorem 9 we can remove the Q-factoriality assumption from [15,Cor.1.5]. The characteristic 0 case, in all dimensions, was proved in [1,17.6],

    Corollary 10. Let (X,S+Δ) be a 3-dimensional, normal, Noetherian, excellent pair. Assume that X is normal, S is a reduced divisor, Δ is effective and KX+S+Δ is R-Cartier. Let ˉSS denote the normalization. Then (ˉS,DiffˉSΔ) is klt iff (X,S+Δ) is plt near S.

    This implies that one direction of Reid's classification of terminal singularities using 'general elephants' [28,p.393] works in every characteristic. This could be useful in extending [2] to characteristics 5.

    Corollary 11. Let (X,S) be a 3-dimensional pair. Assume that X is normal, KX+S is Cartier, X and S have only isolated singularities, and the normalization ˉS of S has canonical singularities. Then X has terminal singularities in a neighborhood of S.

    Divisor class group of dlt singularities. The divisor class group of a rational surface singularity is finite by [24], and [8] plus an easy argument shows that the divisor class group of a rational 3-dimensional singularity is finitely generated. Thus the divisor class group of a 3-dimensional dlt singularity is finitely generated in characteristic 7, using [4,Cor.1.3]. Theorem 9 leads—via [21,B.14]—to the following weaker result, which is, however, optimal in characteristics 2,3,5; see [9] for an application.

    Proposition 12. [21,B.1] Let (y,Y,Δ) be a 3-dimensional, Noetherian, excellent, dlt singularity with residue characteristic p>0. Then the prime-to-p parts of Cl(Y),Cl(Yh) and of Cl(ˆY) are finitely generated, where Yh denotes the henselisation and ˆY the completion.

    It seems reasonable to conjecture that the same holds in all dimensions, see [21,B.6].

    Grauert-Riemenschneider vanishing. One can prove a variant of the Grauert-Riemenschneider (abbreviated as G-R) vanishing theorem [13] by following the steps of the MMP.

    Definition 13 (G-R vanishing). Let (Y,ΔY) be a pair, Y normal, ΔY a boundary (that is, all coefficients are in [0,1]) and g:XY a proper, birational morphism with X normal. For an R-divisor F on X let Ex(F) denote its g-exceptional part. Assume that Y has a dualizing complex. We say that G-R vanishing holds for g:X(Y,ΔY) if the following is satisfied.

    Let D be a Z-divisor and ΔX an effective R-divisor on X. Assume that

    (1) Dg,RKX+ΔX, and

    (2) gΔXΔY, Ex(ΔX)=0.

    Then RigOX(D)=0 for i>0.

    We say that G-R vanishing holds over (Y,ΔY) if G-R vanishing holds for every log resolution g:(X,E+g1ΔY)(Y,ΔY).

    By an elementary computation, if X is regular, WX is regular and G-R vanishing holds for XY then it also holds for the blow-up BWXY. This implies that if G-R vanishing holds for one log resolution of (Y,ΔY), then it holds for every log resolution; see [5,Sec.1.3].

    If Y is essentially of finite type over a field of characteristic 0, then G-R vanishing is a special case of the general Kodaira-type vanishing theorems; see [22,2.68].

    G-R vanishing also holds over 2-dimensional, excellent schemes by [24]; see [20,10.4]. In particular, if Y is any normal, excellent scheme, then the support of RigOX(D)=0 has codimension 3 for i>0.

    However, G-R vanishing fails for 3-folds in every positive characteristic, as shown by cones over surfaces for which Kodaira's vanishing fails. Thus the following may be the type of G-R vanishing result that one can hope for.

    Theorem 14. [5] Let Y be a 3-dimensional, excellent, dlt pair with a dualizing complex. Assume that closed points of Y have perfect residue fields of characteristic 2,3,5. Then G-R vanishing holds over Y.

    Proof. Let (Y,ΔY) be a 3-dimensional, dlt pair, and g:XY a log resolution. With D as in Definition 13 we need to show that RjgOX(D)=0 for j>0. Let gi:XiY be the MMP steps as in Theorem 9. The natural idea would be to show that the sheaves Rj(gi)OXi(Di) are independent of i. At the end then we have an isomorphism gm:XmY, hence Rj(gm)OXm(Dm)=0 for j>0.

    A technical problem is that we seem to need various rationality properties of the singularities of the Xi. Therefore, we show instead that, if G-R vanishing holds over Xi and Xi satisfies (15.1-3), then G-R vanishing also holds over Xi+1. Then Theorem 15 gives that Xi+1 also satisfies (15.1-3), and the induction can go ahead.

    For divisorial contractions XiXi+1 with exceptional divisor S this is straightfoward, the method of [14,Sec.3] shows that if Kodaira vanishing holds for S then G-R vanishing holds for XiXi+1. This is where the char2,3,5 assumption is used: Kodaira vanishing can fail for del Pezzo surfaces if char=2,3,5; see [4].

    For flips XiZiXi+1 the argument works in any characteristic. First we show as above that G-R vanishing holds over Zi. Going to Xi+1 is a spectral sqeuence argument involving ψi:Xi+1Zi. For 3-folds the only nontrivial term is R1(ψi)OXi+1(Di+1), and no unexpected cancellations occur; see [5,Lem.21].

    From G-R vanishing one can derive various rationality properties for all excellent dlt pairs. This can be done by following the method of 2 spectral sequences as in [19] or [20,7.27]; see [5] for an improved version.

    Theorem 15. [5] Let (X,Δ) be an excellent dlt pair such that G-R vanishing and resolution of singularities hold over (X,Δ). Then

    (1) X has rational singularities.

    (2) Every irreducible component of Δ is normal and has rational singularities.

    (3) Let D be a Z-divisor on X such that D+ΔD is R-Cartier for some 0ΔDΔ. Then OX(D) is CM.

    See [5,12] for the precise resolution assumptions needed. The conclusions are well known in characteristic 0, see [22,5.25], [12,Sec.3.13] and [20,7.27]. For 3-dimensional dlt varieties in char7, the first claim was proved in [4,14].

    The next two applications are in characteristic 0.

    Dual complex of a resolution. Our results can be used to remove the Q-factoriality assumption from [11,Thm.1.3]. We refer to [11] for the definition of a dual complex and the notion of collapsing of a regular cell complex. We start with the weaker form, Corollary 16, and then state and outline the proof of the stronger version, Theorem 17.

    Corollary 16. Let (Y,Δ) be a dlt variety over field of characteristic 0 and g:XY a thrifty log resolution whose exceptional set supports a g-ample divisor. For a closed point yY let Eyg1(y) denote the divisorial part. Then D(Ey) is collapsible to a point (or it is empty).

    Theorem 17. Let (Y,Δ) be a dlt variety over field of characteristic 0 and g:XY a projective, birational morphism with exceptional set E=iEi. For yY let Eyg1(y) denote the divisorial part. Assume that

    (1) (X,E+g1Δ) is dlt and the Ei are Q-Cartier.

    (2) a(Ei,Y,Δ)>1 for every i.

    (3) E supports a g-ample divisor.

    Then D(Ey) is collapsible to a point (or it is empty).

    Proof. Fix yY. We may assume that (y,Y) is local and, after passing to an elementary étale neighborhood (cf. [30,Tag 02LD]) of yY, we may also assume that g1(y)Ei is connected for every irreducible exceptional divisor Ei (cf. [30,Tag 04HF]).

    Let us now run the (X,E+g1Δ)-MMP with scaling of a g-ample R-divisor H that is supported on E and has sufficiently general coefficients. Theorem 2 applies, as we observed during the proof of Theorem 9.

    Note that D(Ey)D(E) is a full subcomplex (that is, a simplex is in D(Ey) iff all of its vertices are), hence an elementary collapse of D(E) induces an elementary collapse (or an isomorphism) on D(Ey). Thus it is enough to show that D(E) is collapsible to a point (or it is empty).

    We claim that each MMP-step as in Theorem 2 induces either a collapse or an isomorphism of D(E).

    By [11,Thm.19] we get an elementary collapse (or an isomorphism) if there is a divisor EjiEj that has positive intersection with the ϕj-contracted curves. This takes care of flips by Theorem 9.b and most divisorial contractions.

    It remains to deal with the case when we contract EjEj and every other Eji has 0 intersection number with the contracted curves. Thus EjiEj is either empty or contains g1j(y)Ej. Thus the link of Ej in D(Ej) is a simplex and removing it is a sequence of elementary collapses.

    Dlt modifications of algebraic spaces. By [25], a normal, quasi-projective pair (X,Δ) (over a field of characteristic 0) has both dlt and lc modifications if KX+Δ is R-Cartier. (See [20,Sec.1.4] for the definitions.) The lc modification is unique and commutes with étale base change, hence local lc modifications automatically glue to give the same conclusion if X is an algebraic space.

    However, dlt modifications are rarely unique, thus it was not obvious that they exist when the base is not quasi-projective. [33] observed that Theorem 2 gives enough uniqueness to allow for gluing. This is not hard when X is a scheme, but needs careful considerations to work for algebraic spaces.

    Theorem 18 (Villalobos-Paz). Let X be a normal algebraic space of finite type over a field of characteristic 0, and Δ a boundary R-divisor on X. Assume that KX+Δ is R-Cartier. Then (X,Δ) has a modification g:(Xdlt,Δdlt)(X,Δ) such that

    (1) (Xdlt,Δdlt) is dlt,

    (2) KXdlt+Δdlt is g-nef,

    (3) gΔdlt=Δ, and

    (4) g is projective.

    Xdlt is not unique, and we can choose

    (5) either Xdlt to be Q-factorial, or Ex(g) to support a g-ample Q-divisor.

    I thank E. Arvidsson, F. Bernasconi, J. Carvajal-Rojas, J. Lacini, A. Stäbler, D. Villalobos-Paz, C. Xu for helpful comments and J. Witaszek for numerous e-mails about flips.



    [1] Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2015) Systemic risk and stability in financial networks. Am Econ Rev 105: 564–608. https://doi.org/10.1257/aer.20130456 doi: 10.1257/aer.20130456
    [2] Ang A, Bai J, Zhou H (2018) The great wall of debt: real estate, political risk, and Chinese local government financing cost. Georgetown McDonough School of Business Research Paper, (2603022), 15–02.
    [3] Battistini N, Pagano M, Simonelli S (2014) Systemic risk, sovereign yields and bank exposures in the euro crisis. Econ Policy 29: 203–251. https://doi.org/10.1111/1468-0327.12029 doi: 10.1111/1468-0327.12029
    [4] Beirne J, Fratzscher M (2013) The pricing of sovereign risk and contagion during the European sovereign debt crisis. J Int Money Finance 34: 60–82. https://doi.org/10.1016/j.jimonfin.2012.11.004 doi: 10.1016/j.jimonfin.2012.11.004
    [5] Borisova G, Megginson WL (2011) Does government ownership affect the cost of debt? Evidence from privatization. Rev Financ Stud 24: 2693–2737. https://doi.org/10.1093/rfs/hhq154 doi: 10.1093/rfs/hhq154
    [6] Brunnermeier M, Rother S, Schnabel I (2020) Asset price bubbles and systemic risk. Rev Financ Stud 33: 4272–4317. https://doi.org/10.1093/rfs/hhaa011 doi: 10.1093/rfs/hhaa011
    [7] Chen T, Guestrin C (2016) Xgboost: A scalable tree boosting system, In: Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 785–794. https://doi.org/10.1145/2939672.2939785
    [8] Cuñat V, Cvijanović D, Yuan K (2018) Within-bank spillovers of real estate shocks. Rev Corp Financ Stud 7: 157–193. https://doi.org/10.1093/rcfs/cfy001 doi: 10.1093/rcfs/cfy001
    [9] Davis EP, Zhu H (2011) Bank lending and commercial property cycles: some cross-country evidence. J Inter Money Financ 30: 1–21. https://doi.org/10.1016/j.jimonfin.2010.06.005 doi: 10.1016/j.jimonfin.2010.06.005
    [10] Demirer M, Diebold FX, Liu L, et al. (2018) Estimating global bank network connectedness. J Appl Econometrics 33: 1–15. https://doi.org/10.1002/jae.2585 doi: 10.1002/jae.2585
    [11] Deng Y, Girardin E, Joyeux R (2018) Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy. China Econ Rev 48: 205–222. https://doi.org/10.1016/j.chieco.2016.10.011 doi: 10.1016/j.chieco.2016.10.011
    [12] Deng Y, Zeng Y, Li Z (2019) Real estate prices and systemic banking crises. Econ Model 80: 111–120. https://doi.org/10.1016/j.econmod.2018.09.032 doi: 10.1016/j.econmod.2018.09.032
    [13] Diebold FX, Yilmaz K (2012) Better to give than to receive: Predictive directional measurement of volatility spillovers. Int J Forecast 28: 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006 doi: 10.1016/j.ijforecast.2011.02.006
    [14] Foglia M, Addi A, Angelini E (2022) The Eurozone banking sector in the time of COVID-19: Measuring volatility connectedness. Glob Financ J 51: 100677. https://doi.org/10.1016/j.gfj.2021.100677 doi: 10.1016/j.gfj.2021.100677
    [15] Glaeser EL (2013) A nation of gamblers: Real estate speculation and American history. Am Econ Rev 103: 1–42. https://doi.org/10.1257/aer.103.3.1 doi: 10.1257/aer.103.3.1
    [16] Glancy D (2021) Housing bust, bank lending & employment: Evidence from multimarket banks. J Bank Financ 127: 106111. https://doi.org/10.1016/j.jbankfin.2021.106111 doi: 10.1016/j.jbankfin.2021.106111
    [17] Han Y, Zhang H, Zhao Y (2021) Structural evolution of real estate industry in China: 2002–2017. Struct Change Econ D 57: 45–56. https://doi.org/10.1016/j.strueco.2021.01.010 doi: 10.1016/j.strueco.2021.01.010
    [18] Jiménez G, Mian A, Peydró JL, et al. (2020) The real effects of the bank lending channel. J Monetary Econ 115: 162–179. https://doi.org/10.1016/j.jmoneco.2019.06.002 doi: 10.1016/j.jmoneco.2019.06.002
    [19] Koetter M, Poghosyan T (2010) Real estate prices and bank stability. J Bank Financ 34: 1129–1138. https://doi.org/10.1016/j.jbankfin.2009.11.010 doi: 10.1016/j.jbankfin.2009.11.010
    [20] Li Z, Zhong J (2020) Impact of economic policy uncertainty shocks on China's financial conditions. Financ Res Lett 35: 101303. https://doi.org/10.1016/j.frl.2019.101303 doi: 10.1016/j.frl.2019.101303
    [21] Lin C, He L, Yang G (2021) Targeted monetary policy and financing constraints of Chinese small businesses. Small Bus Econ 57: 2107–2124. https://doi.org/ 10.1007/s11187-020-00365-5 doi: 10.1007/s11187-020-00365-5
    [22] Liu C, Zheng Y, Zhao Q, et al. (2020) Financial stability and real estate price fluctuation in China. Phys A 540: 122980. https://doi.org/10.1016/j.physa.2019.122980 doi: 10.1016/j.physa.2019.122980
    [23] Liu TY, Chang HL, Su CW, et al. (2016) China's housing bubble burst? Econ Transit 24: 361–389. https://doi.org/10.1111/ecot.12093 doi: 10.1111/ecot.12093
    [24] Pagano MS, Sedunov J (2016) A comprehensive approach to measuring the relation between systemic risk exposure and sovereign debt. J Financ Stab 23: 62–78. https://doi.org/10.1016/j.jfs.2016.02.001 doi: 10.1016/j.jfs.2016.02.001
    [25] Pan JN, Huang JT, Chiang TF (2015) Empirical study of the local government deficit, land finance and real estate markets in China. China Econ Rev 32: 57–67. https://doi.org/10.1016/j.chieco.2014.11.003 doi: 10.1016/j.chieco.2014.11.003
    [26] Van Loon J, Aalbers MB (2017) How real estate became 'just another asset class': The financialization of the investment strategies of Dutch institutional investors. Eur Plann Stud 25: 221–240. https://doi.org/10.1080/09654313.2016.1277693 doi: 10.1080/09654313.2016.1277693
    [27] Walker T, Zhang X, Zhang A, et al. (2021) Fact or fiction: Implicit government guarantees in China's corporate bond market. J Int Money Financ 116: 102414. https://doi.org/10.1016/j.jimonfin.2021.102414 doi: 10.1016/j.jimonfin.2021.102414
    [28] Wang B (2021) The evolving real estate market structure in China, In: Understanding China's Real Estate Markets, Springer, Cham, 9–19. https://doi.org/10.1007/978-3-030-71748-3_2
    [29] Wang R, Hou J (2021) Land finance, land attracting investment and housing price fluctuations in China. Int Rev Econ Financ 72: 690–699. https://doi.org/10.1016/j.iref.2020.12.021 doi: 10.1016/j.iref.2020.12.021
    [30] Zhang H, Li L, Hui ECM, et al. (2016) Comparisons of the relations between housing prices and the macroeconomy in China's first-, second-and third-tier cities. Habitat Int 57: 24–42. https://doi.org/10.1016/j.habitatint.2016.06.008 doi: 10.1016/j.habitatint.2016.06.008
    [31] Zhang X, Wang Z (2020) Marketization vs. market chase: Insights from implicit government guarantees. Int Rev Econ Financ 69: 435–455. https://doi.org/10.1016/j.iref.2020.06.021 doi: 10.1016/j.iref.2020.06.021
  • This article has been cited by:

    1. Balázs Csutak, Gábor Szederkényi, Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation, 2025, 22, 1551-0018, 109, 10.3934/mbe.2025006
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2121) PDF downloads(321) Cited by(2)

Figures and Tables

Figures(3)  /  Tables(5)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog