IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1675-d1226478.html
   My bibliography  Save this article

Mixed Land Use and Its Relationship with CO 2 Emissions: A Comparative Analysis Based on Several Typical Development Zones in Shanghai

Author

Listed:
  • Yishao Shi

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

  • Bo Zheng

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
    Shanghai Natural Resources Registration Center, Shanghai 200003, China)

  • Zhu Wang

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

  • Jianwen Zheng

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

Abstract

While development zones are the main locations of the urban industrial economy and sources of energy consumption, studies on the interactive relationship between mixed land use and CO 2 emissions in these zones have not attracted much attention. In this paper, the development zone is selected as the research object, and a honeycomb grid with a side length of 50 meters is used as the unit to measure multiple dimensions of mixed land use. The efficiency and intensity of CO 2 emissions are estimated for these units, and the coupling model is used to analyse the interactive relationship between these two factors. The results show that (1) the mixed land use degree of different types of development zones differs; the bonded zone has the highest degree, while the economic and technological development zone and the high-tech development zone have higher degrees than the industrial development zones. (2) The CO 2 emissions capacities of economic and technological development zones and high-tech development zones are better than those of industrial development zones and bonded areas. (3) There is a strong interaction between the mixing degree of land use and the intensity of CO 2 emissions; the relationship between the two may be diverse and complex in different development zones. (4) The coordinated development level between mixed land use and CO 2 emissions in economic and technological development zones and bonded areas is better than that in high-tech development zones, which in turn is better than that in industrial development zones. Based on existing measurements of mixed land use, the index of land use intensity is introduced in this paper and the land use classification in development zones is refined to supplement the land use compatibility matrix. The results of this study have implications for the development zone to enhance mixed land use and low-carbon development.

Suggested Citation

  • Yishao Shi & Bo Zheng & Zhu Wang & Jianwen Zheng, 2023. "Mixed Land Use and Its Relationship with CO 2 Emissions: A Comparative Analysis Based on Several Typical Development Zones in Shanghai," Land, MDPI, vol. 12(9), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1675-:d:1226478
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1675/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/9/1675/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian, Li & Liang, Yinlong & Zhang, Bo, 2017. "Measuring residential and industrial land use mix in the peri-urban areas of China," Land Use Policy, Elsevier, vol. 69(C), pages 427-438.
    2. Jan Ritsema van Eck & Eric Koomen, 2008. "Characterising urban concentration and land-use diversity in simulations of future land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 123-140, March.
    3. Heping Li & Tao Lin, 2022. "Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China," IJERPH, MDPI, vol. 19(20), pages 1-17, October.
    4. Hongji Chen & Kangchuan Su & Lixian Peng & Guohua Bi & Lulu Zhou & Qingyuan Yang, 2022. "Mixed Land Use Levels in Rural Settlements and Their Influencing Factors: A Case Study of Pingba Village in Chongqing, China," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    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. Kai Zhao & Wanshu Wu & Shengxiang Xu & Jialin Liu & Weidong Sun, 2024. "Location-Oriented Policies in China: Establishment of State-Level Development Zones and Enterprise Innovation Behaviors," Sustainability, MDPI, vol. 16(8), pages 1-22, April.

    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. Hongyu Zheng & Yuefei Zhuo & Zhongguo Xu & Cifang Wu & Jianhong Huang & Qi Fu, 2021. "Measuring and characterizing land use mix patterns of China’s megacities: A case study of Shanghai," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2509-2539, December.
    2. Yuefei Zhuo & Xin Jing & Xiaoying Wang & Guan Li & Zhongguo Xu & Yang Chen & Xueqi Wang, 2022. "The Rise and Fall of Land Use Mix: Review and Prospects," Land, MDPI, vol. 11(12), pages 1-21, December.
    3. Lijing Dong & Lingyu Zhang, 2022. "Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    4. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    5. Jing Yang & Xinyu Zhu & Wei Chen & Yizhong Sun & Jie Zhu, 2023. "Modeling land-use change using partitioned vector cellular automata while considering urban spatial structure," Environment and Planning B, , vol. 50(8), pages 2273-2293, October.
    6. Zhe Cheng & Tianyu Zhao & Tao Song & Li Cui & Xinfa Zhou, 2022. "Assessing the Spatio-Temporal Pattern and Development Characteristics of Regional Ecological Resources for Sustainable Development: A Case Study on Guizhou Province, China," Land, MDPI, vol. 11(6), pages 1-18, June.
    7. Arturas Kaklauskas & Edmundas Kazimieras Zavadskas & Natalija Lepkova & Saulius Raslanas & Kestutis Dauksys & Ingrida Vetloviene & Ieva Ubarte, 2021. "Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field," Sustainability, MDPI, vol. 13(13), pages 1-42, July.
    8. Manaugh, Kevin & Kreider, Tyler, 2013. "What is mixed use? Presenting an interaction method for measuring land use mix," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 63-72.
    9. Mingjie Tian & Zhun Chen & Wei Wang & Taizheng Chen & Haiying Cui, 2022. "Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    10. Alessia Iannillo & Isidoro Fasolino, 2021. "Land-Use Mix and Urban Sustainability: Benefits and Indicators Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    11. Hongji Chen & Kangchuan Su & Lixian Peng & Guohua Bi & Lulu Zhou & Qingyuan Yang, 2022. "Mixed Land Use Levels in Rural Settlements and Their Influencing Factors: A Case Study of Pingba Village in Chongqing, China," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    12. Ha Na Im & Chang Gyu Choi, 2019. "The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix," Urban Studies, Urban Studies Journal Limited, vol. 56(9), pages 1865-1881, July.
    13. Kerong Zhang & Liangyu Jiang & Yanzhi Jin & Wuyi Liu, 2022. "The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China," IJERPH, MDPI, vol. 19(24), pages 1-28, December.
    14. Singh, Yamini Jain & Fard, Pedram & Zuidgeest, Mark & Brussel, Mark & Maarseveen, Martin van, 2014. "Measuring transit oriented development: a spatial multi criteria assessment approach for the City Region Arnhem and Nijmegen," Journal of Transport Geography, Elsevier, vol. 35(C), pages 130-143.
    15. Vanessa Carlow & Olaf Mumm & Dirk Neumann & Anne-Kathrin Schneider & Boris Schröder & Maycon Sedrez & Ryan Zeringue, 2022. "TOPOI – A method for analysing settlement units and their linkages in an urban–rural fabric," Environment and Planning B, , vol. 49(6), pages 1663-1681, July.
    16. Hachem-Vermette, Caroline & Grewal, Kuljeet Singh, 2019. "Investigation of the impact of residential mixture on energy and environmental performance of mixed use neighborhoods," Applied Energy, Elsevier, vol. 241(C), pages 362-379.
    17. Yuning Wang & Duanfang Lu & David Levinson, 2023. "Equilibrium or imbalance? Rail Transit and Land Use Mix in Station Areas," Transportation, Springer, vol. 50(6), pages 2403-2421, December.
    18. George Grekousis & Zhuolin Pan & Ye Liu, 2021. "Do Neighborhoods with Highly Diverse Built Environment Exhibit Different Socio-Economic Profiles as Well? Evidence from Shanghai," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    19. 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.
    20. Brad R. Watts & George A. Erickcek & Jacob Duritsky & Kevin O'Brien & Claudette Robey & James Robey, 2011. "What Should EDA Fund? Developing a Model for Preassessment of Economic Development Investments," Economic Development Quarterly, , vol. 25(1), pages 65-78, February.

    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:12:y:2023:i:9:p:1675-:d:1226478. 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.