外溢效应与攀比效应对城市地价空间关联的影响
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摘要
现有地价空间关联的研究通常集中于探讨地理接近性的影响,不仅忽略了除地理接近性以外的其他接近性指标,而且未能深入探究接近性对地价关联的作用机制。鉴于此,该文选取102个地价监测城市为研究对象,基于2011-2016年24个季度的综合地价环比指数,从多维接近性(地理接近性和层级接近性)的角度,研究外溢效应、攀比效应及其交互作用对地价空间关联及其网络结构的影响。利用格兰杰因果检验确定城市间地价关联关系,通过构建地价关联网络,运用QAP回归和线性回归方法检验外溢效应与攀比效应对地价空间关联及其网络中心性的影响。结果表明,外溢效应与攀比效应是影响城市地价关联网络的重要因素,外溢效应的影响主要体现在对地理邻近区域间的价格传导,攀比效应是影响层级接近城市间地价关联的驱动力量,两种效应的交互作用影响城市间地价的传导与扩散,进而对地价空间关联网络中心性产生影响。对网络结构进行拓展研究发现,广州、武汉、成都、杭州在地价关联网络中处于中心位置,此外广州在地价关联网络中占据结构洞位置。研究结论不仅拓展了地价空间关联的影响因素,而且为城市土地出让价格制定提供参考。
Recent studies on the spatial correlation of land price usually focus on the influence of geographical proximity,not only neglect other proximity indicators,but also fail to delve into the mechanism of proximity to land price.To fill these gaps,this paper selects 102 land price monitoring cities as target.Based on the comprehensive land price index of 24 quarters from 2011 to 2016,this paper explores the influences of "spillover effect" and "comparison effect" and their interaction on land price space association and network structure from the perspective of multidimensional proximity(geographical proximity and hierarchical proximity).The study uses Granger causality test to determine the relationship of urban land price,and further builds the land price correlation network.QAP regression and linear regression are employed to test the influences of spillover effect and comparison effect on land price space association and its network centrality.Empirical results show that both spillover effect and comparison effect exert important impacts on the urban land price correlation network;the impact of spillover effect is mainly on the price transmission between geographically adjacent areas,while the comparison effect is the driving force of land price correlation between hierarchical proximity cities;the interaction of these two effects affects the transmission and diffusion of land price between cities,further plays a role in the centrality of land price spatial correlation network.Through the extend research on network structure,it is found that Guangzhou,Wuhan,Chengdu and Hangzhou are in the central position of the land price correlation network,and Guangzhou occupies structural holes of the land price correlation network.The study results not only extend the recent researches on the influence factors of land price correlation,but also offer suggestions for establishing the price of land leasing.
Recent studies on the spatial correlation of land price usually focus on the influence of geographical proximity,not only neglect other proximity indicators,but also fail to delve into the mechanism of proximity to land price.To fill these gaps,this paper selects 102 land price monitoring cities as target.Based on the comprehensive land price index of 24 quarters from 2011 to 2016,this paper explores the influences of "spillover effect" and "comparison effect" and their interaction on land price space association and network structure from the perspective of multidimensional proximity(geographical proximity and hierarchical proximity).The study uses Granger causality test to determine the relationship of urban land price,and further builds the land price correlation network.QAP regression and linear regression are employed to test the influences of spillover effect and comparison effect on land price space association and its network centrality.Empirical results show that both spillover effect and comparison effect exert important impacts on the urban land price correlation network;the impact of spillover effect is mainly on the price transmission between geographically adjacent areas,while the comparison effect is the driving force of land price correlation between hierarchical proximity cities;the interaction of these two effects affects the transmission and diffusion of land price between cities,further plays a role in the centrality of land price spatial correlation network.Through the extend research on network structure,it is found that Guangzhou,Wuhan,Chengdu and Hangzhou are in the central position of the land price correlation network,and Guangzhou occupies structural holes of the land price correlation network.The study results not only extend the recent researches on the influence factors of land price correlation,but also offer suggestions for establishing the price of land leasing.
引文
[1] 卢新海,陈丹玲,匡兵.区域一体化对城市土地利用效率的影响——以武汉城市群为例[J].城市问题,2018(3):19-26.
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[8] 兰峰,张毅.城市房价小周期波动下的空间溢出效应研究——以长江中游城市群25个城市为例[J].郑州大学学报(哲学社会科学版),2018,51(4):48-52.
[9] 王巍,崔文田,孙笑明,等.多维接近性对关键研发者知识搜索的影响研究[J].科学学与科学技术管理,2017,38(10):107-119.
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[12] 甘文霄,霍小龙.京津冀土地要素市场一体化措施研究——以供给侧结构性改革为视角[J].人民论坛,2016(14):215-217.
[13] 卢洪友,龚锋.政府竞争、“攀比效应”与预算支出受益外溢[J].管理世界,2007(8):12-22.
[14] 陈明华,刘华军,孙亚男,等.城市房价联动的网络结构特征及其影响因素——基于中国69个大中城市月度数据的经验考察[J].南方经济,2016(1):71-88.
[15] 龚维进,徐春华.空间外溢效应与区域经济增长:基于本地利用能力的分析[J].经济学报,2017,4(1):41-61.
[16] KELLER W.Geographic localization of international technology diffusion[J].American Economic Review,2002,92(1):120-142.
[17] 王松涛,杨赞,刘洪玉.我国区域市场城市房价互动关系的实证研究[J].财经问题研究,2008(6):122-129.
[18] 向希尧,裴云龙.地理接近性对跨国专利合作的影响——社会接近性的中介作用研究[J].科学学与科学技术管理,2016,37(4):17-24.
[19] 党兴华,常红锦.网络位置、地理临近性与企业创新绩效——一个交互效应模型[J].科研管理,2013,34(3):7-13.
[20] 杨奎奇,汪应宏,欧向军.江苏省小城镇地价空间分布与成因研究[J].经济地理,2014,34(2):73-79.
[21] 宋鸿,陈晓玲.中国土地市场化进程的空间自相关分析[J].华中师范大学学报(自然科学版), 2008,42(1):132-135.
[22] 解垩.政府效率的空间溢出效应研究[J].财经研究,2007,33(6):101-110.
[23] 李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释——基于网络分析方法[J].经济研究,2014,49(11):4-16.
[24] 刘江会,董雯.国内主要城市“竞合关系”对上海建设全球城市的影响——基于城市战略定位的比较分析[J].城市发展研究,2016,23(6):74-81.
[25] EVENETT S J,VENABLES A J.Export growth in developing countries:Market entry and bilateral trade flows[J].London School of Economics,2002(6):38-49.
[26] 向希尧,裴云龙.跨国专利合作网络中技术接近性的调节作用研究[J].管理科学,2015,28(1):111-121.
[27] 范剑勇,莫家伟.地方债务、土地市场与地区工业增长[J].经济研究,2014,49(1):41-55.
[28] 李尚蒲,罗必良.地方政府竞争:财政赤字扩张及其攀比效应——来自县域的证据[J].学术研究,2015(9):66-75.
[29] 沈昊婧,冯长春,侯懿珊.城市间土地价格及影响因素的空间差异研究[J].城市发展研究,2014,21(3):4-8.
[30] 钟业喜,冯兴华,文玉钊.长江经济带经济网络结构演变及其驱动机制研究[J].地理科学,2016,36(1):10-19.
[31] LEE N G,CHEN A.Regional output spillovers in China:Estimates from a VAR model[J].Regional Science,2010,86(1):101-122.
[32] FREEMAN L C.Centrality in social networks:Conceptual clarification[J].Social Networks,1979,1(3):215-239.
[33] 王翔宇,王成新,王波涛.基于结构视角的城市建设用地扩张的人口绩效研究——以山东省为例[J].人文地理,2017,32(5):83-88.
[34] BURT R S.Structural Holes:The Social Structure of Competition[M].Cambridge,MA:Harvard University Press,1992.
[2] 吕萍,龙双双,刘新平.地价在北京市城市扩张中的作用[J].城市问题,2007(12):34-38.
[3] 曹天邦,黄克龙,李剑波,等.南京市主城区住宅地价的时空演变[J].地理研究,2012,31(6):1029-1038.
[4] MARK T B.How spatially clustered are state-level farmland values[J].Journal of the Asfmra,2015(1):103-112.
[5] PáEZ A,UCHID T,MIYAMOTO K.Spatial association and heterogeneity issues in land price models[J].Urban Studies,2001,38(38):1493-1508.
[6] HARRIS R,DONG G,ZHANG W.Using contextualized geographically weighted regression to model the spatial heterogeneity of land prices in Beijing China[J].Transactions in GIS,2013,17(6):901-919.
[7] 詹海斌,占辉斌,吴群.江苏省城市地价水平的空间自相关分析[J].统计与决策,2011(20):102-104.
[8] 兰峰,张毅.城市房价小周期波动下的空间溢出效应研究——以长江中游城市群25个城市为例[J].郑州大学学报(哲学社会科学版),2018,51(4):48-52.
[9] 王巍,崔文田,孙笑明,等.多维接近性对关键研发者知识搜索的影响研究[J].科学学与科学技术管理,2017,38(10):107-119.
[10] 公云龙,张绍良,章兰兰.城市地价空间自相关分析——以宿州市为例[J].经济地理,2011,31(11):1906-1911.
[11] 綦建红,冯晓洁.市场相似性、路径依赖与出口市场扩张——基于2000-2011年中国海关HS-6产品数据的检验[J].南方经济,2014(11):25-42.
[12] 甘文霄,霍小龙.京津冀土地要素市场一体化措施研究——以供给侧结构性改革为视角[J].人民论坛,2016(14):215-217.
[13] 卢洪友,龚锋.政府竞争、“攀比效应”与预算支出受益外溢[J].管理世界,2007(8):12-22.
[14] 陈明华,刘华军,孙亚男,等.城市房价联动的网络结构特征及其影响因素——基于中国69个大中城市月度数据的经验考察[J].南方经济,2016(1):71-88.
[15] 龚维进,徐春华.空间外溢效应与区域经济增长:基于本地利用能力的分析[J].经济学报,2017,4(1):41-61.
[16] KELLER W.Geographic localization of international technology diffusion[J].American Economic Review,2002,92(1):120-142.
[17] 王松涛,杨赞,刘洪玉.我国区域市场城市房价互动关系的实证研究[J].财经问题研究,2008(6):122-129.
[18] 向希尧,裴云龙.地理接近性对跨国专利合作的影响——社会接近性的中介作用研究[J].科学学与科学技术管理,2016,37(4):17-24.
[19] 党兴华,常红锦.网络位置、地理临近性与企业创新绩效——一个交互效应模型[J].科研管理,2013,34(3):7-13.
[20] 杨奎奇,汪应宏,欧向军.江苏省小城镇地价空间分布与成因研究[J].经济地理,2014,34(2):73-79.
[21] 宋鸿,陈晓玲.中国土地市场化进程的空间自相关分析[J].华中师范大学学报(自然科学版), 2008,42(1):132-135.
[22] 解垩.政府效率的空间溢出效应研究[J].财经研究,2007,33(6):101-110.
[23] 李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释——基于网络分析方法[J].经济研究,2014,49(11):4-16.
[24] 刘江会,董雯.国内主要城市“竞合关系”对上海建设全球城市的影响——基于城市战略定位的比较分析[J].城市发展研究,2016,23(6):74-81.
[25] EVENETT S J,VENABLES A J.Export growth in developing countries:Market entry and bilateral trade flows[J].London School of Economics,2002(6):38-49.
[26] 向希尧,裴云龙.跨国专利合作网络中技术接近性的调节作用研究[J].管理科学,2015,28(1):111-121.
[27] 范剑勇,莫家伟.地方债务、土地市场与地区工业增长[J].经济研究,2014,49(1):41-55.
[28] 李尚蒲,罗必良.地方政府竞争:财政赤字扩张及其攀比效应——来自县域的证据[J].学术研究,2015(9):66-75.
[29] 沈昊婧,冯长春,侯懿珊.城市间土地价格及影响因素的空间差异研究[J].城市发展研究,2014,21(3):4-8.
[30] 钟业喜,冯兴华,文玉钊.长江经济带经济网络结构演变及其驱动机制研究[J].地理科学,2016,36(1):10-19.
[31] LEE N G,CHEN A.Regional output spillovers in China:Estimates from a VAR model[J].Regional Science,2010,86(1):101-122.
[32] FREEMAN L C.Centrality in social networks:Conceptual clarification[J].Social Networks,1979,1(3):215-239.
[33] 王翔宇,王成新,王波涛.基于结构视角的城市建设用地扩张的人口绩效研究——以山东省为例[J].人文地理,2017,32(5):83-88.
[34] BURT R S.Structural Holes:The Social Structure of Competition[M].Cambridge,MA:Harvard University Press,1992.