开发时滞在房价上涨中的中介效应研究
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  • 英文篇名:Research on the intermediary effect of development lag in the rise of house price
  • 作者:张帅 ; 王雪青 ; 刘炳胜 ; 侯鑫彧
  • 英文作者:ZHANG Shuai;WANG Xueqing;LIU Bingsheng;HOU Xinyu;School of Management and Economics, Tianjin University;School of Finance, Nankai University;
  • 关键词:开发时滞 ; 土地杠杆 ; 中介效应 ; 实物期权
  • 英文关键词:development lag;;land leverage;;intermediary effect;;real option
  • 中文刊名:XTLL
  • 英文刊名:Systems Engineering-Theory & Practice
  • 机构:天津大学管理与经济学部;南开大学金融学院;
  • 出版日期:2019-01-25
  • 出版单位:系统工程理论与实践
  • 年:2019
  • 期:v.39
  • 基金:国家自然科学基金(71172148)~~
  • 语种:中文;
  • 页:XTLL201901006
  • 页数:19
  • CN:01
  • ISSN:11-2267/N
  • 分类号:72-90
摘要
因开发时滞已成为限制房屋供应效率的核心因素,受国内土地杠杆不断提升现象启发,我们试图验证两者的作用机制.我们首先利用实物期权模型,建立更贴近实际的二重随机微分方程,定量测算土地杠杆和开发时滞的非线性交互机制.局部均衡模型显示,在市场预期稳定的情况下,土地开发周期主要由土地杠杆(即土地价值与房屋价值的比例)决定.2002-2015年全国31个省域的面板数据回归结果显示,在有效控制人口密度等外部因素的影响后,平均来看,土地杠杆每提高100个百分点,当年开发时滞提高20个百分点.在经过时间趋势、外生事件冲击和地区位置等稳健性检验后,这一结论仍然成立.继而,建立三阶段中介效应模型,计算得到整体的中介效应为46%,但随着土地杠杆的提升,相较于时滞的间接途径,直接成本效应已成为影响房价的主要途径.而在此过程中,开发时滞对房价的影响始终是相对稳定且显著的.同时,土地杠杆存在类似的加速器效应,即随着从较低状态提高到较高状态,土地杠杆对房屋价格的正向溢出效应更强,作用力度提高约80%.上述研究证实,忽视土地杠杆过高对房地产市场的负面作用、单纯从需求端控制房价可能是不足的,凸显了从土地供给端进行结构性改革的重要性,需要将管理开发时滞纳入房地产调控整体政策框架中.
        In view of development lag has become the core factor to limit the efficiency of housing supply.Inspired by the continuous upgrading of domestic land leverage, we try to verify the mechanism of land leverage and development lag. We first use real option model to establish a more practical double stochastic differential equation and partial equilibrium model shows that when the market expectation is stable, the land development cycle is mainly determined by the land lever(i.e. the ratio of land price to housing price).In the past 2002-2015 years, the panel data regression of 31 provinces in China showed that, after controlling the external factors such as population density effectively, on average, the land leverage increased by 100 percentage points, and the development lag increases 20 percentage points. This conclusion is still stable after the test of the time trend, the impact of exogenous events and the location of the region. Then, the three stage mediating effect is established, and the overall mediating effect is 46% with the promotion of land leverage, the direct cost effect has become the main way to influence housing price compared with the indirect way of development lag. At the same time, there is a similar accelerator effect in land leverage,that is, with the improvement from lower to higher level, the positive spillover effect of land leverage on housing prices is stronger, and the effect is increased by about 80%. The study highlights the importance of structural reforms from the land supply side which implies the importance of effective management of development lag as well as land leverage in the overall policy framework of real estate regulation.
引文
[1]邓长荣,马永开.我国住宅价格多层面因素模型及其实证研究[J].系统工程理论与实践,2010, 30(1):48-55.Deng C R, Ma Y K. Chinese housing multi-aspect factors model:A theoretical&empirical study[J]. Systems Engineering—Theory&Practice, 2010, 30(1):48-55.
    [2]况伟大,李涛.土地出让方式、地价与房价[J].金融研究,2012(8):56-69.
    [3]刘修岩,李松林,秦蒙.开发时滞、市场不确定性与城市蔓延[J].经济研究,2016(8):159-171.Liu X Y, Li S L, Qin M. Development lag, market uncertainty and urban sprawl[J]. Economic Research Journal,2016(8):159-171.
    [4]钟远,朱清华,李启明.房地产市场土地供应时滞效应分析[J].建筑经济,2006(s2):156-159.
    [5]邹至庄,牛霖琳.中国城镇居民住房的需求与供给[J].金融研究,2010(1):1-11.
    [6]况伟大.预期、投机与中国城市房价波动[J].经济研究,2010(9):67-78.Zhu W D. Expectation, speculation and urban housing price volatility in China[J]. Economic Research Journal,2010(9):67-78.
    [7] Gu G, Michael L,Cheng Y. Housing supply and its relationships with land supply[J]. International Journal of Housing Markets and Analysis, 2015, 8(3):375-395.
    [8] Bar-Ilan A, Strange W C. Urban development with lags[J]. Journal of Urban Economics, 1996, 39(39):87-113.
    [9] Holland A S, Ott S H, Riddiough T J. The role of uncertainty in investment:An examination of competing investment models using commercial real estate data[J]. Real Estate Economics, 2000, 28(1):33-64.
    [10] Cunningham C R. House price uncertainty, timing of development, and vacant land prices:Evidence for real options in Seattle[J]. Journal of Urban Economics, 2006, 59(1):1-31.
    [11]郭晓旸,刘洪玉.政府土地供应决策中等待期权的实证检验[J].系统工程理论与实践,2013, 33(11):2787-2794.Guo X Y, Liu H Y. Empirical test of the government's waiting option in land transfer[J]. Systems Engineering—Theory&Practice, 2013, 33(11):2787-2794.
    [12]王媛,贾生华.不确定性、实物期权与政府土地供应决策:来自杭州的证据[J].世界经济,2012(3):125-145.
    [13] Wheaton W C. Real estate “cycles”:Some fundamentals[J]. Real Estate Economics,1999, 27:209-230.
    [14] Rhys H, Song J,Jindrichovska I. The timing of real option exercise:Some recent developments[J]. Engineering Economist, 2002, 47(4):436-450.
    [15]梁以德,徐佳娜,崔舆芯.异质预期条件下房价波动非线性延滞差分方程[J].应用数学和力学,2007, 28(6):699-712.Liang Y D, Xu J N, Cui Y X. Nonlinear delay difference equations for housing dynamics assuming heterogeneous backward-looking expectations[J]. Applied Mathematics and Mechanics, 2007, 28(6):699-712.
    [16]蔡晓钰,陈忠,蔡晓东·随机条件下房地产开发的最优时机选择及其可达性问题研究[J].管理工程学报,2007, 21(1):12-19.Cai X Y, Chen Z, Cai X D. Research of the optimal time to develop and its'passage problem for real estate developers under the stochastic conditions[J]. Journal of Industrial Engineering and Engineering Management,2007, 21(1):12-19.
    [17]梁以德,徐佳娜,崔舆芯.住宅市场价格波动的异质有限预期模型[J].应用数学和力学,2009, 30(10):1223-1233.Liang Y D, Xu J N, Cui Y X. Heterogeneous boundedly rational expectation model for housing market[J]. Applied Mathematics and Mechanics, 2009, 30.(10):1223-1233.
    [18] Grimes A, Aitken A. Housing supply, land costs and price adjustment[J]. Real Estate Economics, 2010, 38(2):325-353.
    [19] Paciorek A. Supply constraints and housing market dynamics[J]. Journal of Urban Economics, 2013, 77(1):11-26.
    [20] Murphy A. A dynamic model of housing supply[R]. Social Science Electronic Publishing, 2013.
    [21] Bostic R W, Longhofer S D, Redfearn C L. Land leverage:Decomposing home price dynamics[J]. Real Estate Economics, 2007, 35(2):183-208.
    [22] Zhou Y, Wang K. On the determinants of house value volatility[J]. Journal of Real Estate Research, 2010, 32(4):377-396.
    [23] Bourassa S C, Hoesli M, Scognamiglio D, et al. Land leverage and house prices[J]. Regional Science and Urban Economics, 2011, 41(2):134-144.
    [24] Nichols J B, Oliner S D, Mulhall M R. Swings in commercial and residential land prices in the United States[J].Journal of Urban Economics, 2013, 73(1):57-76.
    [25]徐爽,李宏瑾.土地定价的实物期权方法:以中国土地交易市场为例[J].世界经济,2007(8):63-72.
    [26]王松涛,刘洪玉.土地供应政策对住房供给与住房价格的影响研究[J].土木工程学报,2009(10):116-121.Wang S T, Liu H Y. The impact of land supply policy on housing supply and prices[J]. China Civil Engineering Journal, 2009(10):116-121.
    [27] Jud G D, Winkler D T. The Q theory of housing investment[J]. Journal of Real Estate Finance and Economics,2003, 27(3):379-392.
    [28] Glaeser E L, Gyourko J, Saiz A. Housing supply and housing bubbles[J]. Journal of Urban Economics, 2008,64(2):198-217.
    [29] Lerbs O W. House prices, housing development costs, and the supply of new single-family housing in German counties and cities[J]. Journal of Property Research, 2014, 31(3):183-210.
    [30] Glaeser E L, Gyourko J, Morales E, et al. Housing dynamics:An urban approach[J]. Journal of Urban Economics,2014, 81(1):45-56.
    [31] Gyourko J,Saiz A. Construction cost and the supply of housing structure[J]. Journal of Regional Science,2006,46(4):661-680.
    [32] Davis M A,Heathcote J. The price and quantity of residential land in the United States[J]. Journal of Monetary Economics, 2004, 54(8):2595-2620.
    [33] Davis M A, Palumbo M G. The price of residential land in large US cities[J]. Journal of Urban Economics, 2008,63(1):352-384.
    [34]李仲飞,张浩.成本推动、需求拉动——什么推动了中国房价上涨?[J].中国管理科学,2015, 23(5):143-150.Li Z F, Zhang H. Cost-push or demand-pull:What is driving the housing prices in China?[J]. Chinese Journal of Management Science, 2015, 23(5):143-150.
    [35] Berg L, Berger T. The Q theory and the Swedish housing market—An empirical test[J]. Journal of Real Estate Finance and Economics, 2006, 33(4):329-344.
    [36] Leishman C, Jones C, Fraser W. The influence of uncertainty on house builder behavior and residential land values[J]. Journal of Property Research, 2000, 17(2):147-168.
    [37] Cheng Y, Clark S P. Land-use rights in a compound option model of real estate development[R]. 2012.
    [38] Lai R N, Wang K, Zhou Y Q. Sale before completion of development:Pricing and strategy[J]. Real Estate Economics, 2010, 32(2):329-357.
    [39] Edelstein R, Liu P, Wu F. The market for real estate presales:A theoretical approach[J]. Journal of Real Estate Finance and Economics, 2012, 45(1):30-48.
    [40] Wong S K,Yiu C Y,Tse M K S,et al. Do the forward sales of real estate stabilize spot prices?[J]. Journal of Real Estate Finance and Economics, 2006, 32(3):289-304.
    [41]伍海军,马永开.商品房预售的固定价格合同模型[J].系统工程理论与实践,2010, 30(5):835-840.Wu H J, Ma Y K. Fixed price contract model of pre-sale housings[J]. Systems Engineering—Theory&Practice,2010, 30(5):835-840.
    [42]伍海军,马永开.带违约罚金的商品房预售合同[J].系统管理学报,2012, 21(2):218-223.Wu H J, Ma Y K. Pre-sale housing contract with penalty[J]. Journal of Systems&Management, 2012, 21(2):218-223.
    [43] McDonald R, Siegel D. The value of waiting to invest[J]. The Quarterly Journal of Economics, 1986, 101(4):707-728.
    [44] Sarkar S. On the investment-uncertainty relationship in a real options model[J]. Journal of Economic Dynamics and Control, 2000, 24(2):219-225.
    [45]王频,侯成琪.预期冲击、房价波动与经济波动[J].经济研究,2017(4):48-63.Wang P, Hou C Q. Expectation shocks, house price movements and economic fluctuation[J]. Economic Research Journal, 2017(4):48-63.
    [46]郑思齐,刘洪玉.住房需求的收入弹性:模型、估计与预测[J].土木工程学报,2005, 38(7):122-126.Zheng S Q, Liu H Y. Income elasticity of housing demand in China:Model, estimation and forecast[J]. China Civil Engineering Journal, 2005, 38(7):122-126.
    [47] Kuruklis S A, Ladas G. Oscillation and global attractivity in a discrete delay logistic model[J]. Quarterly of Applied Mathematics, 1992, 2(2):227-233.
    [48] Bar-Ilan A. Investment with an arithmetic process and lags[J]. Managerial and Decision Economics, 2000, 21(5):203-206.
    [49] Bar-Ilan A, Strange W C. Investment lags[J]. American Economic Review, 1996, 86(3):610-622.
    [50]刘涛.基于噪声实物资产的房地产开发调控政策[J].系统工程理论与实践,2009, 29(9):58-63.Liu T. Real estate development regulatory policy based on noisy real assets[J]. Systems Engineering—Theory&Practice, 2009, 29(9):58-63.
    [51] Somerville C T. Permits, starts, and completions:Structural relationships versus real options[J]. Real Estate Economics, 2010, 29(1):161-190.
    [52]杨赞,张晓营,张蔚.房价不确定性开发商销售行为的影响[J].工理学报,2015(2):126-131.Yang Z, Zhang X Y, Zhang W. Effect of housing price uncertainty on trading behavior of developers[J]. Journal of Engineering Management, 2015(2):126-131.
    [53]王岳龙,武鹏.房价与地价关系的再检验——来自中国28个省的面板数据[J].南开经济研究,2009(4):131-143.Wang Y L, Wu P. Re-inspection on the relationship between housing price and land price—From the panel data of China's 28 provinces[J]. Nankai Economic Studies, 2009(4):131-143.
    [54]马文明,卞正富.地产估价中容积率修正系数的确定[J].中国土地科学,2005, 19(2):54-56.Ma W M, Bian Z F. Determination of the revising coefficient of the floor-area ratio in land property appraisal[J].China Land Science, 2005, 19(2):54-56.
    [55]秦波,孙亮.容积率和出让方式对地价的影响——基于特征价格模型[J].中国土地科学,2010, 24(3):70-74.Qin B, Sun L. The impacts of floor area ratio and transfer modes on land prices:Based on hedonic price model[J].China Land Science, 2010, 24(3):70-74.
    [56]曲卫东,刘晓龙.北京市土地拍卖溢价实证检验[J].系统工程理论与实践,2013, 33(1):117-124.Qu W D, Liu X L. Empirical examination of land auction price of Beijing land market[J]. Systems Engineering—Theory&Practice, 2013, 33(1):117-124.
    [57]张所地,范新英.基于面板分位数回归模型的收入、利率对房价的影响关系研究[J].数理统计与管理,2015, 34(6):1057-1065.Zhang S D, Fan X Y. An empirical research about the dynamic influence of income and interest rate on the housing price based on quantile regression[J]. Journal of Applied Statistics and Management, 2015, 34(6):1057-1065.
    [58]王岳龙.地价对房价影响程度区域差异的实证分析——来自囯土资源部楼盘调查数据的证据[J].南方经济,2011,29(3):29-42.Wang Y L. Empirical estimate the different impact of landing price on housing among regions—Based on the survey data from Ministry of Land and Resources[J]. South China Journal of Economics, 2011, 29(3):29-42.
    [59]张五六.物价、利率与收入对居民消费需求影响研究——基于时变参数状态空间模型[J].数理统计与管理,2010, 29(4):662-669.Zhang W L. Price, interest rate and income to Chinese resident consumer demand effect research based on timevarying parameter state space model[J]. Journal of Applied Statistics and Management, 2010, 29(4):662-669.
    [60]陈东,刘金东.农村信贷对农村居民消费的影响——基于状态空间模型和中介效应检验的长期动态分析[J].金融研究,2013(6):160-172.
    [61]温忠麟,张雷,侯杰泰,等.中介效应检验程序及其应用[J].心理学报,2004, 36(5):614-620.Wen Z L, Zhang L,Hou J T,et al. Testing and application of the mediating effects[J]. Acta Psychologica Sinica,2004, 36(5):614-620.
    [62] Hayes A F. Beyond Baron and Kenny:Statistical mediation analysis in the new millennium[J]. Communication Monographs, 2009, 76(4):408-420.
    [63]甄红线,张先治,迟国泰.制度环境、终极控制权对公司绩效的影响——基于代理成本的中介效应检验[J].金融研究,2015(12):162-177.Zhen H X, Zhang X Z, Chi G T. The effect of the institutional environment and ultimate control on corporate performance:Based on the test of mediator effect of agency costs[J]. Journal of Financial Research, 2015(12):162-177.
    [64]陈健,陈杰,高波.信贷约束、房价与居民消费率——基于面板门槛模型的研究[J].金融研究,2012(4):45-57.
    [65] Dipasquale D. Why don't we know more about housing supply?[J]. Journal of Real Estate Finance and Economics,1999, 18(1):9-23.
    [66]王弟海,管文杰,赵占波.土地和住房供给对房价变动和经济增长的影响——兼论我国房价居高不下持续上涨的原因[J].金融研究,2015(1):50-67.Wang D H, Guan W J, Zhao Z B. The supply of land, house price and economic growth[J]. Journal of Financial Research, 2015(1):50-67.
    [67]邵新建,巫和懋,江萍,等.中国城市房价的“坚硬泡沫”——基于垄断性土地市场的研究[J].金融研究,2012(12):67-81.
    [68]龙开胜,陈利根.中国土地违法现象的影响因素分析——基于1999-2008年省际面板数据[J].资源科学,2011, 33(6):1171-1177.Long K S, Chen L G. Analysis of influencing factors of land law violations in China based on interprovincial panel data during the period 1999-2008[J]. Resources Science, 2011, 33(6):1171-1177.
    [69]吕晓,钟太洋,张晓玲,等.土地督察对土地违法的遏制效应评价[J].中国人口.资源与环境,2012,22(8):121-127.Lii X, Zhong T Y, Zhang X L, et al. Effects of land supervision on containing the illegal land use in China[J].China Population, Resources and Environment, 2012, 22(8):121-127.
    [70]张涵,康飞.基于bootstrap的多重中介效应分析方法[J].统计与决策,2016(5):75-78.
    1.在房屋存量-增量(stock-flow)模型中,开发时滞(development lag)和供应时滞(supply lag)两个词语存在混用现象.在中文文献中,两者的内涵也极其相近,如文献[3]、[4]分别使用了开发时滞和供应时滞的表述.本文的概念与刘修岩等的“开发时滞”概念最为接近,全文统一使用“开发时滞”的表述.
    2.也有一些研究将建造成本在房屋价值中所占的比例视为常数,如文献[32]、[33].
    3.如考虑预售(pre-sale)制度的影响,则情况更为复杂.国内绝大多数楼盘都是先预售再竣工交楼(两者通常有1~2年的间隔),预售显然处于开工和竣工两个节点之间.如果将期房视为远期商品,预售制度可发挥“风险共担”的作用~([38]),以规避房地产市场估值和违约风险(valuation and default)两个核心风险~([39]).一些实证研究证实,虽然预售制度能够平抑现房市场的收益~([40]),但并未有直接证据显示开发商会有意识利用预售制度来调节市场供给,而且国内预售条件相对较高,一般要达到主体完工后方可预售,与香港市场的“炒楼花”式预售制度存在显著差异,并不会直接催生房地产投机.即便考虑预售作为融资渠道的作用,无论是在固定价格~([41])还是带违约罚金的预售合同~([42])中,均未发现开发商利用预售来应对市场不确定性的证据.实践中,新建房屋一旦达到预售条件,开发商倾向于早日预售,并不会选择预售时机.综上所述,预售制度不会对开发时滞造成实质性影响,未在模型中引入预售制度.感谢审稿人指出这一点.
    4.可利用泰勒公式二阶展开后得到更为一般化的公式,限于篇幅,不再展开.
    5.限于篇幅,FE, FD, RE, BE, FE, TW等模型结果,不再赘述.
    6.我们曾考虑将土地杠杆系数视为随机变量,采用随机系数方程,但因随机系数方程会损失过多自由度,估计结果可信度降低,最终仍选用部分变系数模型.