IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5967-d400110.html
   My bibliography  Save this article

What Is the Amount of China’s Building Floor Space from 1996 to 2014?

Author

Listed:
  • Linwei Pan

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Minglei Zhu

    (Research Center for Economy of Upper Reaches of the Yangtse River, Chongqing Technology and Business University, Chongqing 400067, China
    Chongqing Yukang Asset Management Co., Ltd., Chongqing 400020, China)

  • Ningning Lang

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Tengfei Huo

    (School of Economics and Management, Hebei University of Technology, Tianjin 300401, China)

Abstract

The amount of building floor space (BFS) plays a key role in the energy and material demand prediction. Unfortunately, BFS estimation has faced the challenge of ineffective and inadequate approaches, and thus reliable data concerning China’s BFS is unavailable. This study proposes a new estimation method for China’s BFS and then estimates historical BFS by type in China from 1996 to 2014. The results show that total Chinese BFS grew from 28.1 billion m 2 in 1996 to 61.3 billion m 2 in 2014, increasing more than twice, with an annual growth rate of 4.4% from 1996 to 2014. During 1996–2014, urban residential BFS witnessed the highest annual increase rate (9.3%), while the growth rate for commercial and rural residential BFS was lower: 4.4% and 1.6%, respectively. By comparing with available statistics data, this study finds the model deviations are well below 5%, which indicates the reliability of the proposed method and robustness of the results. The proposed method not only can address the deficiencies of statistic yearbook and overcome the shortages of previous estimation approaches but also can derive more accurate and reliable data. This study lays a sound basis for the following study on building stock and building energy efficiency work.

Suggested Citation

  • Linwei Pan & Minglei Zhu & Ningning Lang & Tengfei Huo, 2020. "What Is the Amount of China’s Building Floor Space from 1996 to 2014?," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5967-:d:400110
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5967/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/16/5967/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mingming Hu & Ester Van Der Voet & Gjalt Huppes, 2010. "Dynamic Material Flow Analysis for Strategic Construction and Demolition Waste Management in Beijing," Journal of Industrial Ecology, Yale University, vol. 14(3), pages 440-456, June.
    2. Hong, Lixuan & Zhou, Nan & Feng, Wei & Khanna, Nina & Fridley, David & Zhao, Yongqiang & Sandholt, Kaare, 2016. "Building stock dynamics and its impacts on materials and energy demand in China," Energy Policy, Elsevier, vol. 94(C), pages 47-55.
    3. Kelly, S., 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Cambridge Working Papers in Economics 1139, Faculty of Economics, University of Cambridge.
    4. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    5. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    6. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    7. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
    8. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    9. Maria Cecilia P Moura & Steven J Smith & David B Belzer, 2015. "120 Years of U.S. Residential Housing Stock and Floor Space," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
    10. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
    11. Yang, Tao & Pan, Yiqun & Yang, Yikun & Lin, Meishun & Qin, Bingyue & Xu, Peng & Huang, Zhizhong, 2017. "CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model," Energy, Elsevier, vol. 128(C), pages 208-223.
    12. Tso, Geoffrey K.F. & Guan, Jingjing, 2014. "A multilevel regression approach to understand effects of environment indicators and household features on residential energy consumption," Energy, Elsevier, vol. 66(C), pages 722-731.
    13. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    14. Stefan Pauliuk & Anders Arvesen & Konstantin Stadler & Edgar G. Hertwich, 2017. "Industrial ecology in integrated assessment models," Nature Climate Change, Nature, vol. 7(1), pages 13-20, January.
    15. Scott Kelly, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Working Papers EPRG 1117, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    16. Cai, W.G. & Wu, Y. & Zhong, Y. & Ren, H., 2009. "China building energy consumption: Situation, challenges and corresponding measures," Energy Policy, Elsevier, vol. 37(6), pages 2054-2059, June.
    17. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    18. Yuan, Xueliang & Zuo, Jian, 2011. "Transition to low carbon energy policies in China--from the Five-Year Plan perspective," Energy Policy, Elsevier, vol. 39(6), pages 3855-3859, June.
    Full references (including those not matched with items on IDEAS)

    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. Maria Cecilia P Moura & Steven J Smith & David B Belzer, 2015. "120 Years of U.S. Residential Housing Stock and Floor Space," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
    2. Satre-Meloy, Aven, 2019. "Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models," Energy, Elsevier, vol. 174(C), pages 148-168.
    3. Wei Zhou & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    4. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).
    5. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
    6. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    7. Wang, Xia & Ding, Chao & Cai, Weiguang & Luo, Lizi & Chen, Mingman, 2021. "Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach," Energy, Elsevier, vol. 237(C).
    8. Streltsov, Artem & Malof, Jordan M. & Huang, Bohao & Bradbury, Kyle, 2020. "Estimating residential building energy consumption using overhead imagery," Applied Energy, Elsevier, vol. 280(C).
    9. Boukarta Soufiane & Berezowska-Azzag Ewa, 2018. "Assessing Households’ Gas and Electricity Consumption: A Case Study of Djelfa, Algeria," Quaestiones Geographicae, Sciendo, vol. 37(4), pages 111-129, December.
    10. Estiri, Hossein & Zagheni, Emilio, 2018. "Evaluating the Age-Energy Consumption Profile in Residential Buildings," SocArXiv yqkva, Center for Open Science.
    11. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    12. Fei Wang & Yili Yu & Xinkang Wang & Hui Ren & Miadreza Shafie-Khah & João P. S. Catalão, 2018. "Residential Electricity Consumption Level Impact Factor Analysis Based on Wrapper Feature Selection and Multinomial Logistic Regression," Energies, MDPI, vol. 11(5), pages 1-26, May.
    13. Ana-María Martínez-Llorens & Paloma Taltavull de La Paz & Raul-Tomas Mora-Garcia, 2020. "Effect of The Physical Characteristics of a Dwelling on Energy Consumption and Emissions: The Case of Castellón And Valencia (Spain)," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    14. Rosenberg, Eva, 2014. "Calculation method for electricity end-use for residential lighting," Energy, Elsevier, vol. 66(C), pages 295-304.
    15. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
    16. Neves, Catarina & Oliveira, Tiago, 2021. "Drivers of consumers’ change to an energy-efficient heating appliance (EEHA) in households: Evidence from five European countries," Applied Energy, Elsevier, vol. 298(C).
    17. Bouw, Kathelijne & Noorman, Klaas Jan & Wiekens, Carina J. & Faaij, André, 2021. "Local energy planning in the built environment: An analysis of model characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    18. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
    19. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    20. Tan, Xianchun & Lai, Haiping & Gu, Baihe & Zeng, Yuan & Li, Hui, 2018. "Carbon emission and abatement potential outlook in China's building sector through 2050," Energy Policy, Elsevier, vol. 118(C), pages 429-439.

    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:jijerp:v:17:y:2020:i:16:p:5967-:d:400110. 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.