IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i3p376-d763734.html
   My bibliography  Save this article

Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model

Author

Listed:
  • Jing Cheng

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518057, China)

  • Xiaowei Luo

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999077, China)

Abstract

In this paper, the government behavior of leasing different land use rights in Beijing, China, is analyzed using data analysis based on the multinomial logit model. The factors that lead the government to lease different land use rights are considered from the aspects of the land features, geographical location of the land, district economic development, government finance and political tenure of the district head, etc. Considering the factors as the variables, the multinomial logit model is presented to analyze the factors that affect the district government behavior on leasing different land use rights. The data of the variables are obtained in Beijing at the district level from 2004 to 2015. From the results, we can see that the area and price of the land, gross domestic product, foreign direct investment, distance of the land from airport, distance of the land from city center, distance of the land from the nearest industrial park, government fiscal deficit and tenure of the district head all influence the district government behavior on leasing land. Finally, the policy implications are proposed. The results and implications can be referenced by other metropolises in China and other developing countries with public ownership of land.

Suggested Citation

  • Jing Cheng & Xiaowei Luo, 2022. "Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model," Land, MDPI, vol. 11(3), pages 1-14, March.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:376-:d:763734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/3/376/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/3/376/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Solé-Ollé, Albert & Viladecans-Marsal, Elisabet, 2012. "Lobbying, political competition, and local land supply: Recent evidence from Spain," Journal of Public Economics, Elsevier, vol. 96(1), pages 10-19.
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Xu, Tao & Zhang, Ming & Aditjandra, Paulus T., 2016. "The impact of urban rail transit on commercial property value: New evidence from Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 223-235.
    4. Chengri Ding & Erik Lichtenberg, 2011. "Land And Urban Economic Growth In China," Journal of Regional Science, Wiley Blackwell, vol. 51(2), pages 299-317, May.
    5. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    6. Yang, Jiawen & Chen, Junxian & Le, Xiaohui & Zhang, Qin, 2016. "Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen," Transport Policy, Elsevier, vol. 51(C), pages 93-102.
    7. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
    8. Yuan, Feng & Wei, Yehua Dennis & Xiao, Weiye, 2019. "Land marketization, fiscal decentralization, and the dynamics of urban land prices in transitional China," Land Use Policy, Elsevier, vol. 89(C).
    9. Jin, Wanfu & Zhou, Chunshan & Zhang, Guojun, 2020. "Characteristics of state-owned construction land supply in Chinese cities by development stage and industry," Land Use Policy, Elsevier, vol. 96(C).
    10. Deininger, Klaus & Jin, Songqing & Nagarajan, Hari K., 2009. "Determinants and Consequences of Land Sales Market Participation: Panel Evidence from India," World Development, Elsevier, vol. 37(2), pages 410-421, February.
    11. Wang, Songtao & Yang, Zan & Liu, Hongyu, 2011. "Impact of urban economic openness on real estate prices: Evidence from thirty-five cities in China," China Economic Review, Elsevier, vol. 22(1), pages 42-54, March.
    12. Cao, Rui-fen & Zhang, An-lu & Cai, Yin-ying & Xie, Xiang-xiang, 2020. "How imbalanced land development affects local fiscal condition? A case study of Hubei Province, China," Land Use Policy, Elsevier, vol. 99(C).
    13. Liang Peng & Thomas Thibodeau, 2012. "Government Interference and the Efficiency of the Land Market in China," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 919-938, November.
    14. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    15. Zhang, Ming & Wang, Lanlan, 2013. "The impacts of mass transit on land development in China: The case of Beijing," Research in Transportation Economics, Elsevier, vol. 40(1), pages 124-133.
    16. Pan, Jiun-Nan & Huang, Jr-Tsung & Chiang, Tsun-Feng, 2015. "Empirical study of the local government deficit, land finance and real estate markets in China," China Economic Review, Elsevier, vol. 32(C), pages 57-67.
    17. Xing Su & Zhu Qian, 2020. "State Intervention in Land Supply and Its Impact on Real Estate Investment in China: Evidence from Prefecture-Level Cities," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    18. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    19. Zheng, Siqi & Kahn, Matthew E., 2008. "Land and residential property markets in a booming economy: New evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 63(2), pages 743-757, March.
    20. Jing Cheng, 2020. "Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, April.
    21. Anping Chen & Marlon Boarnet & Mark Partridge & Siqi Zheng & Weizeng Sun & Rui Wang, 2014. "Land Supply And Capitalization Of Public Goods In Housing Prices: Evidence From Beijing," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 550-568, September.
    22. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    23. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    24. Zheng, Siqi & Hu, Xiaoke & Wang, Jianghao & Wang, Rui, 2016. "Subways near the subway: Rail transit and neighborhood catering businesses in Beijing," Transport Policy, Elsevier, vol. 51(C), pages 81-92.
    25. Pengfei An & Can Li & Yajing Duan & Jingfeng Ge & Xiaomiao Feng, 2021. "Inter-metropolitan land price characteristics and pattern in the Beijing-Tianjin-Hebei urban agglomeration, China," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-25, September.
    26. Sun, Weizeng & Zheng, Siqi & Wang, Rui, 2015. "The capitalization of subway access in home value: A repeat-rentals model with supply constraints in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 104-115.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zebin Xing & Heng Cheng & Jing Cheng, 2023. "Deep Learning Method Based on Physics-Informed Neural Network for 3D Anisotropic Steady-State Heat Conduction Problems," Mathematics, MDPI, vol. 11(19), pages 1-21, September.
    2. Huijun Tang & Jufeng Wang & Le Wang, 2023. "Mining Significant Utility Discriminative Patterns in Quantitative Databases," Mathematics, MDPI, vol. 11(4), pages 1-18, February.
    3. Yue Zhao & Xuelian Guo & Botong Su & Yamin Sun & Yiyun Zhu, 2023. "Multi-Lane Traffic Load Clustering Model for Long-Span Bridge Based on Parameter Correlation," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    4. Yumin Cheng, 2022. "Preface to the Special Issue on “Numerical Computation, Data Analysis and Software in Mathematics and Engineering”," Mathematics, MDPI, vol. 10(13), pages 1-5, June.
    5. Pei Yin & Jing Cheng & Miaojuan Peng, 2022. "Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    6. Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
    7. Sun, Fengxin & Wang, Jufeng & Xu, Ying, 2024. "An improved stabilized element-free Galerkin method for solving steady Stokes flow problems," Applied Mathematics and Computation, Elsevier, vol. 463(C).
    8. Heng Cheng & Zebin Xing & Yan Liu, 2023. "The Improved Element-Free Galerkin Method for 3D Steady Convection-Diffusion-Reaction Problems with Variable Coefficients," Mathematics, MDPI, vol. 11(3), pages 1-19, February.
    9. Yan Chen & Qiang Du & Xiyang Yin & Renjie Fu & Yiyun Zhu, 2023. "Stress Analysis of the Radius and Ulna in Tennis at Different Flexion Angles of the Elbow," Mathematics, MDPI, vol. 11(16), pages 1-17, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Jing Cheng, 2021. "Mathematical Models and Data Analysis of Residential Land Leasing Behavior of District Governments of Beijing in China," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    4. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    5. Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
    6. Li, L. & Bao, Helen X.H. & Robinson, Guy M., 2020. "The return of state control and its impact on land market efficiency in urban China," Land Use Policy, Elsevier, vol. 99(C).
    7. Jing Cheng, 2024. "Analysis of the Government’s Decision on Leasing Different Lands under Public Ownership of Land," Land, MDPI, vol. 13(7), pages 1-23, June.
    8. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    9. Li, Zheng, 2018. "The impact of metro accessibility on residential property values: An empirical analysis," Research in Transportation Economics, Elsevier, vol. 70(C), pages 52-56.
    10. Deininger,Klaus W. & Jin,Songqing & Liu,Shouying & Xia,Fang, 2015. "Impact of property rights reform to support China?s rural-urban integration : household-level evidence from the Chengdu national experiment," Policy Research Working Paper Series 7388, The World Bank.
    11. Li Li & Jiahui Yu & Hang Cheng & Miaojuan Peng, 2021. "A Smart Helmet-Based PLS-BPNN Error Compensation Model for Infrared Body Temperature Measurement of Construction Workers during COVID-19," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    12. Jinfei Chai, 2021. "Research on Dynamic Response Characteristics for Basement Structure of Heavy Haul Railway Tunnel with Defects," Mathematics, MDPI, vol. 9(22), pages 1-23, November.
    13. Li, Jianyi & Huang, Hao, 2020. "Effects of transit-oriented development (TOD) on housing prices: A case study in Wuhan, China," Research in Transportation Economics, Elsevier, vol. 80(C).
    14. Linfang Shen & Kuoyu Liu & Jinfei Chai & Weibin Ma & Xiaoxiong Guo & Yao Li & Peng Zhao & Boying Liu, 2022. "Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
    15. Xu, Tao & Zhang, Ming & Aditjandra, Paulus T., 2016. "The impact of urban rail transit on commercial property value: New evidence from Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 223-235.
    16. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    17. Dong, Yilin, 2016. "A note on geographical constraints and housing markets in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 15-21.
    18. Fengxin Sun & Jufeng Wang & Xiang Kong & Rongjun Cheng, 2021. "A Dimension Splitting Generalized Interpolating Element-Free Galerkin Method for the Singularly Perturbed Steady Convection–Diffusion–Reaction Problems," Mathematics, MDPI, vol. 9(19), pages 1-15, October.
    19. Deininger,Klaus W. & Jin,Songqing & Liu,Shouying & Shao,Ting & Xia,Fang, 2015. "Impact of property rights reform to support China?s rural-urban integration : village-level evidence from the Chengdu national experiment," Policy Research Working Paper Series 7389, The World Bank.
    20. Huang, Zhonghua & Du, Xuejun, 2018. "Holding the market under the stimulus plan: Local government financing vehicles' land purchasing behavior in China," China Economic Review, Elsevier, vol. 50(C), pages 85-100.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:376-:d:763734. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.