IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i7p2792-d340179.html
   My bibliography  Save this article

Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China

Author

Listed:
  • Shengfu Yang

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

  • Shougeng Hu

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

  • Weidong Li

    (Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Mansfield, CT 06269, USA)

  • Chuanrong Zhang

    (Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Mansfield, CT 06269, USA)

  • Dongdong Song

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

Abstract

Industrialization has brought about great differences in industrial development and land use demand among different regions and cities, especially in rapidly industrializing countries with a vast territory. In those areas, implementing local-specific policies on industrial land price is of great significance to improve industrial land use efficiency and facilitate the sustainable development of regional economy. Based on the land pricing monition files of 105 industrializing cities, geographically weighted regression (GWR) was applied to detect the spatial variation of the industrial land price and its main impact factors (for example, tax, leased land, population, and location quotient index) in China in 2009, 2011 and 2014. The results show that the relationships were generally spatio-temporally nonstationary. More specifically, while the effect of tax on industrial land price was significantly positive and spatially stable all over China in 2009, the effect varied spatially in the two later studied years, weakened in North and East China and strengthened in South China. The effect of leased land on industrial land price was generally negative; it was very weak in 2009 and 2011 but became negatively strong in most studied cities in 2014, except for a few cities in Middle China. Population had a significant positive effect on industrial land price in the cities of East and Northeast China. For the three studied years, the location quotient index always had negative effect in Bohai Economic Rim and positive effect in Yangtze River Delta Economic Zone, and the negative effect strengthened with time. Meanwhile, the underlying reasons behind the relationships were further analyzed, showing that the spatio-temporal changes of industrial land price are closely correlated with the population mobility, industrial agglomeration, government intervention and economic situation.

Suggested Citation

  • Shengfu Yang & Shougeng Hu & Weidong Li & Chuanrong Zhang & Dongdong Song, 2020. "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2792-:d:340179
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/7/2792/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/7/2792/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    2. Gluszak, Michal & Zygmunt, Robert, 2018. "Development density, administrative decisions, and land values: An empirical investigation," Land Use Policy, Elsevier, vol. 70(C), pages 153-161.
    3. Richard K. Green & Stephen Malpezzi & Stephen K. Mayo, 2005. "Metropolitan-Specific Estimates of the Price Elasticity of Supply of Housing, and Their Sources," American Economic Review, American Economic Association, vol. 95(2), pages 334-339, May.
    4. Ana Maria Bonomi Barufi & Eduardo Amaral Haddad & Peter Nijkamp, 2016. "Industrial scope of agglomeration economies in Brazil," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(3), pages 707-755, May.
    5. Epifani, Paolo & Gancia, Gino, 2011. "Trade, markup heterogeneity and misallocations," Journal of International Economics, Elsevier, vol. 83(1), pages 1-13, January.
    6. Can Li & Yu Meng & Yingkui Li & Jingfeng Ge & Chaoran Zhao, 2019. "Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China," Sustainability, MDPI, vol. 11(17), pages 1-29, August.
    7. Kowalski, Joseph G. & Paraskevopoulos, Christos C., 1990. "The impact of location on urban industrial land prices," Journal of Urban Economics, Elsevier, vol. 27(1), pages 16-24, January.
    8. Thomas Davidoff, 2013. "Supply Elasticity and the Housing Cycle of the 2000s," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 41(4), pages 793-813, December.
    9. Billings, Stephen B. & Johnson, Erik B., 2012. "The location quotient as an estimator of industrial concentration," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 642-647.
    10. Bob Thompson & Sotiris Tsolacos, 2001. "Industrial Land Values — A Guide to Future Markets?," Journal of Real Estate Research, American Real Estate Society, vol. 21(1/2), pages 55-76.
    11. Shengfu Yang & Shougeng Hu & Weidong Li & Chuanrong Zhang & José A. Torres, 2017. "Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    12. Paul K. Asabere & Forrest E. Huffman, 1991. "Zoning and Industrial Land Values: The Case of Philadelphia," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(2), pages 154-160, June.
    13. Ihlanfeldt, Keith R., 2007. "The effect of land use regulation on housing and land prices," Journal of Urban Economics, Elsevier, vol. 61(3), pages 420-435, May.
    14. William L. Attebery & Ronald C. Rutherford & Mark E. Eakin, 1993. "Industrial Real Estate Prices and Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 8(3), pages 377-386.
    15. A. Fotheringham & Ricardo Crespo & Jing Yao, 2015. "Exploring, modelling and predicting spatiotemporal variations in house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 417-436, March.
    16. Larry J. Lockwood & Ronald C. Rutherford, 1996. "Determinants of Industrial Property Value," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(2), pages 257-272.
    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. 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. Dongdong Song & Tong Jiang & Chuanping Rao, 2022. "Review of Policy Framework for the Development of Carbon Capture, Utilization and Storage in China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    3. Dongdong Song & Jing Rui, 2023. "Research on Legal Promotion Mechanism of Biomass Energy Development under “Carbon Peaking and Carbon Neutrality” Targets in China," Energies, MDPI, vol. 16(11), pages 1-21, May.
    4. Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    5. Xiaoying Ju & Huizhao Li & Peng Yao & Jianxu Liu & Fei Chen & Songsak Sriboonchitta, 2022. "Analysis of the Impact of Industrial Land Price Distortion on Overcapacity in the Textile Industry and Its Sustainability in China," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    6. Shenjie Yang & Lanjiao Wen, 2023. "Regional Heterogeneity in China’s Rural Collectively Owned Commercialized Land Market: An Empirical Analysis from 2015–2020," Land, MDPI, vol. 12(2), pages 1-15, February.
    7. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    8. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.

    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. Howard, Greg & Liebersohn, Jack, 2021. "Why is the rent so darn high? The role of growing demand to live in housing-supply-inelastic cities," Journal of Urban Economics, Elsevier, vol. 124(C).
    2. Gyourko, Joseph & Molloy, Raven, 2015. "Regulation and Housing Supply," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1289-1337, Elsevier.
    3. Jackson, Kristoffer (Kip), 2018. "Regulation, land constraints, and California’s boom and bust," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 130-147.
    4. Kok, Nils & Monkkonen, Paavo & Quigley, John M., 2014. "Land use regulations and the value of land and housing: An intra-metropolitan analysis," Journal of Urban Economics, Elsevier, vol. 81(C), pages 136-148.
    5. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    6. Koster, Hans R.A. & van Ommeren, Jos & Volkhausen, Nicolas, 2021. "Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles," Journal of Urban Economics, Elsevier, vol. 124(C).
    7. Bahadir, Berrak & Mykhaylova, Olena, 2014. "Housing market dynamics with delays in the construction sector," Journal of Housing Economics, Elsevier, vol. 26(C), pages 94-108.
    8. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    9. Huub Ploegmakers & Pascal Beckers & Erwin Van der Krabben, 2018. "The impact of planning intervention on business development: Evidence from the Netherlands," Urban Studies, Urban Studies Journal Limited, vol. 55(14), pages 3252-3273, November.
    10. Larson, William & Yezer, Anthony & Zhao, Weihua, 2022. "Urban planning policies and the cost of living in large cities," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    11. Hans Koster, "undated". "The Welfare Effects of Greenbelt Policy: Evidence from England," Tinbergen Institute Discussion Papers 19-023/VIII, Tinbergen Institute.
    12. Nichols, Joseph B. & Oliner, Stephen D. & Mulhall, Michael R., 2013. "Swings in commercial and residential land prices in the United States," Journal of Urban Economics, Elsevier, vol. 73(1), pages 57-76.
    13. Eli Beracha & William G. Hardin & Hilla Maaria Skiba, 2018. "Real Estate Market Segmentation: Hotels as Exemplar," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 252-273, February.
    14. Holmes, Thomas J. & Hsu, Wen-Tai & Lee, Sanghoon, 2014. "Allocative efficiency, mark-ups, and the welfare gains from trade," Journal of International Economics, Elsevier, vol. 94(2), pages 195-206.
    15. Satyajit Chatterjee & Burcu Eyigungor, 2013. "Do supply restrictions raise the value of urban land? The (neglected) role of production externalities," Working Papers 13-37, Federal Reserve Bank of Philadelphia.
    16. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    17. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, vol. 9(1), pages 1-21, January.
    18. Charles Ka Yui Leung, 2015. "Availability, Affordability and Volatility: The Case of the Hong Kong Housing Market," International Real Estate Review, Global Social Science Institute, vol. 18(3), pages 383-428.
    19. Diana Silva & Carlos Azzoni, 2022. "Worker and firm heterogeneity, agglomeration, and wages in Brazil," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 107-133, February.
    20. Hongwei Dong, 2018. "The impact of income inequality on rental affordability: An empirical study in large American metropolitan areas," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2106-2122, August.

    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:jsusta:v:12:y:2020:i:7:p:2792-:d:340179. 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.