Resource Economy

The Analysis of Border Effect of Urban Land Based on Structural Equation Modeling: A Case Study of Beijing-Tianjin-Hebei Agglomeration

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  • 1. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2015-08-28

  Revised date: 2016-01-30

  Online published: 2016-07-20

Supported by

National Natural Science Foundation of China, No.71441036

Abstract

How the administrative boundary influences the urban land-use scale? Quoting the study case of Beijing-Tianjin-Hebei agglomeration, we build the border effect model of urban land based on the structural equation model. In the process of developing the model, we select economic factors, industry factors, population factors, the administrative elements and urban land as the latent variables, then the fitted models are constructed according to the indexes’ values of the year 1990, 1995, 2000, 2005 and 2010. Based on the built model, the mechanism and evolution process of urban land expansion under the border effect is revealed. The results show that: Firstly, the administrative boundary has no significant direct effect on the urban land-use scale; secondly, the administrative boundary has indirect influence on the process of urban land expansion, the indirect effects including the economic factors, population elements and other factors; thirdly, according to the measuring values at five time nodes (1990, 1995, 2000, 2005, 2010), the financial expenses and non-agricultural population play a leading role in the indirect influence of the administrative boundary on the expansion of the urban land in Beijing-Tianjin-Hebei agglomeration. The social fixed assets, the actual utilization of foreign invest-ment and the average wages also play an important role in different periods. The final but not the least point is that the social fixed assets is a pivotal indirect element when the socio-economic development is in the low-level, while the important role of the actual utilization of foreign investment and the average wages cannot be denied in the urban land-use border effect when the social and economic elements flow is frequent and efficient. Based on this study, the theoretical support and policy recommendations can be provided for rational expansion of urban land in Beijing-Tianjin-Hebei agglomeration and delineation of the urban development boundary.

Cite this article

WANG Cheng-long, LIU Hui, ZHANG Meng-tian . The Analysis of Border Effect of Urban Land Based on Structural Equation Modeling: A Case Study of Beijing-Tianjin-Hebei Agglomeration[J]. JOURNAL OF NATURAL RESOURCES, 2016 , 31(7) : 1127 -1137 . DOI: 10.11849/zrzyxb.20150932

References

[1] 刘纪远, 邓祥征. LUCC 时空过程研究的方法进展 [J]. 科学通报, 2009, 54(21): 3251-3258.
[2] 王丽萍, 周寅康, 薛俊菲. 江苏省城市用地扩张及驱动机制研究 [J]. 中国土地科学, 2005, 19(6): 26-29.
[3] 韦素琼, 陈健飞. 闽台建设用地变化与工业化耦合的对比分析 [J]. 地理研究, 2006, 25(1): 87-95.
[4] 廖和平, 彭征, 洪惠坤, 等. 重庆市直辖以来的城市空间扩展与机制 [J]. 地理研究, 2007, 26(6): 1137-1146.
[5] 王丰龙, 刘云刚. 中国城市建设用地扩张与财政收入增长的面板格兰杰因果检验 [J]. 地理学报, 2013, 68(12): 1595-1606.
[6] LI L, SATO Y, ZHU H H. Simulating spatial urban expansion based on a physical process [J]. Landscape and Urban Planning, 2003, 64(1/2): 67-76.
[7] DENG X Z, HUANG J K, ROZELLE S. Economic growth and the expansion of urban land in China [J]. Urban Studies, 2010, 47(4): 813-843.
[8] SETO K C, KAUFMANN R K. Modeling the driver of urban land use change in the Pearl River Delta, China: Iintegra-ting remote sensing with socioeconomic data [J]. Land Economics, 2003, 79(1): 106-121.
[9] MCCALLUM J. National borders matter: Canada-U.S. regional trade patterns [J]. The American Economic Review, 1995, 85(3): 615-623.
[10] HELLIWELL J E. How Much do National Borders Matter? [M]. Brookings Institution Press, 1998.
[11] HELLIWELL J F. National borders, trade and migration [J]. Pacific Economic Review, 1997, 2(3): 165-185.
[12] ANDERSON J E, VAN WINCOOP E. Gravity with gravitas: A solution to the border puzzle [J]. American Economic Review, 2003, 20(1): 170-192.
[13] HEAD K, MAYER T. Illusory Border Effects: Distance Mismeasurement Inflates Estimates of Home Bias in Trade [M]. Paris: CEPII, 2002.
[14] ENGEL C, ROGERS J H. How wide is the border? [J]. The American Economic Review, 1996, 86(5): 1112-1125.
[15] 李铁立. 边界效应与跨边界次区域经济合作研究 [M]. 北京: 中国金融出版社, 2005.
[16] 王振波, 朱传耿, 徐建刚. 省际边界区域边界效应的测定——以淮海经济区为例 [J]. 经济地理, 2008, 28(5): 765-770.
[17] 李郇, 徐现祥. 边界效应的测定方法及其在长江三角洲的应用 [J]. 地理研究, 2006, 25(5): 792-802.
[18] 王成龙, 刘慧, 张梦天. 行政边界对城市群城市用地空间扩张的影响——基于京津冀城市群的实证研究 [J]. 地理研究, 2016, 35(1): 173-183.
[19] 武文杰, 刘志林, 张文忠. 基于结构方程模型的北京居住用地价格影响因素评价 [J]. 地理学报, 2010, 65(6): 676-684.
[20] 吴明隆. 结构方程模型: AMOS 的操作与应用 [M]. 重庆: 重庆大学出版社, 2010.
[21] 荣泰生. AMOS 与研究方法 [M]. 重庆: 重庆大学出版社, 2009.
[22] 王婧, 方创琳, 李裕瑞. 中国城乡人口与建设用地的时空变化及其耦合特征研究 [J]. 自然资源学报, 2014, 29(8): 1271-1281.
[23] 张利, 雷军, 李雪梅, 等. 1997—2007年中国城市用地扩张特征及其影响因素分析 [J]. 地理科学进展, 2011, 30(5): 607-614.
[24] 舒帮荣, 朱建军, 李永乐, 等. 不同经济发展阶段下城市用地规模扩张动力研究——基于省际面板数据的考察 [J]. 中国土地科学, 2013(11): 65-71.
[25] 鲁春阳, 文枫, 杨庆媛. 城市土地利用结构影响因素的通径分析 [J]. 地理科学, 2012, 32(8): 936-943.
[26] 赵可, 张安录, 李平. 城市建设用地扩张的驱动力——基于省际面板数据的分析 [J]. 自然资源学报, 2011, 26(8): 1323-1332.
[27] 曾馨漫. 京津冀城市群城市用地扩张地理机制研究 [D]. 北京: 中国科学院大学, 2015.
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