IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1147-d871473.html
   My bibliography  Save this article

China’s Transport Land: Spatiotemporal Expansion Characteristics and Driving Mechanism

Author

Listed:
  • Liangen Zeng

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Haitao Li

    (Department of International Relations, Tsinghua University, Beijing 100084, China)

  • Xiao Wang

    (Guanghua School of Management, Peking University, Beijing 100871, China)

  • Zhao Yu

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Haoyu Hu

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Xinyue Yuan

    (School of Insurance, Central University of Finance and Economics, Beijing 102206, China)

  • Xuhai Zhao

    (School of Economics and Management, Tsinghua University, Beijing 100871, China)

  • Chengming Li

    (School of Economics, Minzu University of China, Beijing 100871, China)

  • Dandan Yuan

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Yukun Gao

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Yang Nie

    (Guanghua School of Management, Peking University, Beijing 100871, China)

  • Liangzhen Huang

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

Abstract

The literature about changes in land use includes many studies of global sustainable development goals, while studies of transport land expansion have been relatively scarce. In this paper, we present an analysis of the spatiotemporal characteristics of transport land expansion in China’s 31 provinces from 2009 to 2017, applying the spatial Dubin model to identify the factors that influenced changes in per capita transport land area ( PCTLA ). The eastern and western regions have continued to lead the nation in terms of the total area dedicated to transport land. The expansion speed of transport land in the central and western regions, however, has been faster than in the eastern and northeast regions. As for PCTLA , the western region had the greatest amount and the central region the least. Further, PCTLA showed significant spatial autocorrelation. Economic development, government regulations, industrial structure, and the extent of opening up and urbanization had significant positive impacts on PCTLA , while the development of railway freight had a negative impact. This paper concludes with some policy suggestions for optimizing transport investment, accelerating the adjustment of industrial structure and transport structure, and implementing high-quality urbanization. The results should be of interest to those involved in the sustainable development of transport systems.

Suggested Citation

  • Liangen Zeng & Haitao Li & Xiao Wang & Zhao Yu & Haoyu Hu & Xinyue Yuan & Xuhai Zhao & Chengming Li & Dandan Yuan & Yukun Gao & Yang Nie & Liangzhen Huang, 2022. "China’s Transport Land: Spatiotemporal Expansion Characteristics and Driving Mechanism," Land, MDPI, vol. 11(8), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1147-:d:871473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1147/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1147/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jinlong Gao & Yehua Dennis Wei & Wen Chen & Komali Yenneti, 2015. "Urban Land Expansion and Structural Change in the Yangtze River Delta, China," Sustainability, MDPI, vol. 7(8), pages 1-27, July.
    2. Junjie Hong & Zhaofang Chu & Qiang Wang, 2011. "Transport infrastructure and regional economic growth: evidence from China," Transportation, Springer, vol. 38(5), pages 737-752, September.
    3. Jun Zhang & Junping Yan & Liang Xue & Yuanzhi Yao & Xin Shu, 2021. "Is there a regularity: the change of arable land use pattern under the influence of human activities in the Loess Plateau of China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7156-7175, May.
    4. Guohui Yao & Haidong Li & Nan Wang & Lijun Zhao & Hanbei Du & Longjiang Zhang & Shouguang Yan, 2022. "Spatiotemporal Variations and Driving Factors of Ecological Land during Urbanization—A Case Study in the Yangtze River’s Lower Reaches," Sustainability, MDPI, vol. 14(7), pages 1-15, April.
    5. Haiyan Zhang & Michinori Uwasu & Keishiro Hara & Helmut Yabar, 2011. "Sustainable Urban Development and Land Use Change—A Case Study of the Yangtze River Delta in China," Sustainability, MDPI, vol. 3(7), pages 1-16, July.
    6. Zeng, Ka & Eastin, Joshua, 2012. "Do Developing Countries Invest Up? The Environmental Effects of Foreign Direct Investment from Less-Developed Countries," World Development, Elsevier, vol. 40(11), pages 2221-2233.
    7. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    8. Lei Kang & Li Ma, 2021. "Expansion of Industrial Parks in the Beijing–Tianjin–Hebei Urban Agglomeration: A Spatial Analysis," Land, MDPI, vol. 10(11), pages 1-18, October.
    9. Baochao Li & Xiaoshu Cao & Jianbin Xu & Wulin Wang & Shishu Ouyang & Dan Liu, 2021. "Spatial–Temporal Pattern and Influence Factors of Land Used for Transportation at the County Level since the Implementation of the Reform and Opening-Up Policy in China," Land, MDPI, vol. 10(8), pages 1-17, August.
    10. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    11. Najabat Ali & Khamphe Phoungthong & Kuaanan Techato & Waheed Ali & Shah Abbas & Joshuva Arockia Dhanraj & Anwar Khan, 2022. "FDI, Green Innovation and Environmental Quality Nexus: New Insights from BRICS Economies," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    12. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    13. Jianglong Chen & Jinlong Gao & Feng Yuan & Yehua Dennis Wei, 2016. "Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China," Sustainability, MDPI, vol. 8(9), pages 1-25, August.
    14. J. Paul Elhorst, 2014. "Spatial Panel Data Models," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 37-93, Springer.
    15. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    16. Hui Xiang & Yinhua Ma & Rongrong Zhang & Hongji Chen & Qingyuan Yang, 2022. "Spatio-Temporal Evolution and Future Simulation of Agricultural Land Use in Xiangxi, Central China," Land, MDPI, vol. 11(4), pages 1-16, April.
    17. Chenxi Li & Kening Wu & Jingyao Wu, 2018. "Urban land use change and its socio-economic driving forces in China: a case study in Beijing, Tianjin and Hebei region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1405-1419, June.
    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. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    2. Liangen Zeng & Chengming Li & Zhongqi Liang & Xuhai Zhao & Haoyu Hu & Xiao Wang & Dandan Yuan & Zhao Yu & Tingzhang Yang & Jingming Lu & Qi Huang & Fuyao Qu, 2022. "The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors," Land, MDPI, vol. 11(8), pages 1-19, July.
    3. Le Yang & Zhongqi Liang & Wentao Yao & Hongmin Zhu & Liangen Zeng & Zihan Zhao, 2023. "What Are the Impacts of Urbanisation on Carbon Emissions Efficiency? Evidence from Western China," Land, MDPI, vol. 12(9), pages 1-18, 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. Lenaerts, Bert & Allroggen, Florian & Malina, Robert, 2021. "The economic impact of aviation: A review on the role of market access," Journal of Air Transport Management, Elsevier, vol. 91(C).
    2. Cebula, Richard J., 2022. "Coal Mining, Health, and Morbidity: A Brief Overview of the Empirical Scholarly Literature from a Regional Science Perspective," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), October.
    3. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Shunguang Hu & Zijuan Zhu, 2020. "Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    4. Liang, Cong & Hui, Eddie C.M. & Yip, Tsz Leung, 2018. "Time on market (TOM): The impact of new residential stamp duty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1117-1130.
    5. Huxiao Zhu & Xiangjun Ou & Zhen Yang & Yiwen Yang & Hongxin Ren & Le Tang, 2022. "Spatiotemporal Dynamics and Driving Forces of Land Urbanization in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 11(8), pages 1-21, August.
    6. Qi, Guanqiu & Shi, Wenming & Lin, Kun-Chin & Yuen, Kum Fai & Xiao, Yi, 2020. "Spatial spillover effects of logistics infrastructure on regional development: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 96-114.
    7. Gonzalez, Juan Nicolas & Gomez, Juan & Vassallo, Jose Manuel, 2023. "Are low emission zones and on-street parking management effective in reducing parking demand for most polluting vehicles and promoting greener ones?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    8. De Salvo, Maria & Capitello, Roberta & Gaudenzi, Barbara & Begalli, Diego, 2019. "Risk management strategies and residual risk perception in the wine industry: A spatial analysis in Northeast Italy," Land Use Policy, Elsevier, vol. 83(C), pages 47-62.
    9. Josip Grgić, 2021. "Impact of transport infrastructure on local development in Dalmatia," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 527-558, June.
    10. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    11. Yuxue Sheng & James LeSage, 2021. "A spatial regression methodology for exploring the role of regional connectivity in knowledge production: Evidence from Chinese regions," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 847-874, August.
    12. Wen, Le & Suomalainen, Kiti & Sharp, Basil & Yi, Ming & Sheng, Mingyue Selena, 2022. "Impact of wind-hydro dynamics on electricity price: A seasonal spatial econometric analysis," Energy, Elsevier, vol. 238(PC).
    13. Gong, Xiaodong & Gao, Jiti & Liang, Xuan, 2019. "Inter-City Spillover and Intra-City Agglomeration Effects among Local Labour Markets in China," IZA Discussion Papers 12329, Institute of Labor Economics (IZA).
    14. Ziming Bai & Tianyi Wang & Jiabin Xu & Cuixia Li, 2023. "Can Agricultural Productive Services Inhibit Carbon Emissions? Evidence from China," Land, MDPI, vol. 12(7), pages 1-20, June.
    15. Vicente Rios & Pedro Pascual Arzoz & BelÉn iraizoz Apezteguia, 2016. "Development Differentials and Interaction Effects in the European Regions: A Study Based on the Regional Lisbon Index," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(3), pages 347-364, July.
    16. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    17. Xiaodong Gong & Jiti Gao & Xuan Liang & Xin Meng, 2018. "Inter-regional spillover and intra-regional agglomeration effects among local labour markets in China," Monash Econometrics and Business Statistics Working Papers 20/18, Monash University, Department of Econometrics and Business Statistics.
    18. Wei Chen & Rui He & Qun Wu, 2017. "A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    19. Wei Tang & Tiancai Zhou & Jian Sun & Yurui Li & Weipeng Li, 2017. "Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City," Sustainability, MDPI, vol. 9(9), pages 1-19, August.
    20. Liangen Zeng & Chengming Li & Zhongqi Liang & Xuhai Zhao & Haoyu Hu & Xiao Wang & Dandan Yuan & Zhao Yu & Tingzhang Yang & Jingming Lu & Qi Huang & Fuyao Qu, 2022. "The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors," Land, MDPI, vol. 11(8), pages 1-19, July.

    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:8:p:1147-:d:871473. 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.