IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v52y2021i2p1062-1079.html
   My bibliography  Save this article

Growth in surrounding consumer amenities: The economic externality of urban parks

Author

Listed:
  • Fenjie Long
  • Lang Shi

Abstract

Many cities in China have issued various policies aimed at strengthening the investment and construction of urban parks to promote ecological development. An urban park is often considered by scholars and policy makers only in terms of its ecological and social values. However, its economic externalities have not been studied fully. This paper adopts Points of Interest data to identify and measure the impact of urban park opening on surrounding consumer amenities, based on a difference‐in‐differences model. The empirical results show that the newly built parks in Guiyang, also known as the “Thousand‐park City,” promote the surrounding consumer amenities, especially dining and daily‐life services. Besides, parks in different locations and with different characteristics show heterogeneity in this spill‐over effect. This study enriches the understanding of the economic roles of urban parks, provides references for the planning of urban green space, and supports the urban synchronous economic and ecological development mode to some extent.

Suggested Citation

  • Fenjie Long & Lang Shi, 2021. "Growth in surrounding consumer amenities: The economic externality of urban parks," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1062-1079, June.
    • Handle: RePEc:bla:growch:v:52:y:2021:i:2:p:1062-1079
    DOI: 10.1111/grow.12474
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12474
    Download Restriction: no
    File URL: https://libkey.io/10.1111/grow.12474?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liu, Qing & Qiu, Larry D., 2016. "Intermediate input imports and innovations: Evidence from Chinese firms' patent filings," Journal of International Economics, Elsevier, vol. 103(C), pages 166-183.
    2. Du, Mengbing & Zhang, Xiaoling, 2020. "Urban greening: A new paradox of economic or social sustainability?," Land Use Policy, Elsevier, vol. 92(C).
    3. Tadao Hoshino & Koichi Kuriyama, 2010. "Measuring the Benefits of Neighbourhood Park Amenities: Application and Comparison of Spatial Hedonic Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(3), pages 429-444, March.
    4. 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.
    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. Zhen Yin & Lifei Wang & Zhen Xu, 2025. "Retrofit-Oriented Large Parks’ Walking-Shed Evaluation—A Case Study of Rizhao, China," Land, MDPI, vol. 14(3), pages 1-22, February.
    2. Jingyuan Zhang & Jusheng Song & Jiaming Zeng, 2025. "Toward Resilience: Assessing Retail Location’s Complex Impact Mechanism Using PLS-SEM Aided by Machine Learning," Sustainability, MDPI, vol. 17(16), pages 1-26, August.
    3. Wu, Aohui & Wang, Zhitai, 2025. "Multi-scenario simulation and carbon storage assessment of land use in a multi-mountainous city," Land Use Policy, Elsevier, vol. 153(C).
    4. Zhipeng Xing & Sidong Zhao & Kerun Li, 2023. "Evolution Pattern and Spatial Mismatch of Urban Greenspace and Its Impact Mechanism: Evidence from Parkland of Hunan Province," Land, MDPI, vol. 12(11), pages 1-31, November.

    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. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    2. Yiping Sun & Xiangyi Li & Tengyuan Zhang & Jiawei Fu, 2022. "Does Trade Policy Uncertainty Exacerbate Environmental Pollution?—Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    3. Peng Dai & Song Han & Guannan Fu & Hui Fu & Yanjun Wang, 2023. "Optimization Path of Metro Commercial Passageway Based on Computational Analysis," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    4. Chen, Zhiyuan & Wang, Zhihao & Zhu, Ting & Gu, Kejian & Tang, Ying, 2025. "Trade policy uncertainty and market diversification by risk-averse firms," China Economic Review, Elsevier, vol. 91(C).
    5. Cong Cheng & Zefeng Miao, 2025. "Leveraging digital connectivity for innovation performance: a fsQCA study on Chinese high-tech manufacturing firms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    6. Jingbo Cui & Zhenxuan Wang & Haishan Yu, 2022. "Can International Climate Cooperation Induce Knowledge Spillover to Developing Countries? Evidence from CDM," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 923-951, August.
    7. Lu, Yunguo & Zhang, Lin, 2022. "National mitigation policy and the competitiveness of Chinese firms," Energy Economics, Elsevier, vol. 109(C).
    8. Andres Dominguez & Hernán Enríquez Sierra & Nicolás Cuervo Ballesteros, 2021. "Regional Spatial Structure and Land Use: Evidence from Bogotá and 17 Municipalities," Land, MDPI, vol. 10(9), pages 1-22, August.
    9. Zihan Hu & Min Wu & Dan Yang & Tao Luo & Yihao Tian, 2024. "How Resource-Exhausted Cities Get Out of the Innovation Bottom? Evidence from China," Land, MDPI, vol. 13(8), pages 1-22, July.
    10. Jianjun Sun & Nannan Zu & Chao Zhang, 2025. "Big data and firm greenwashing: evidence from China’s national big data comprehensive pilot zone," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
    11. Shuai Chen & Faqin Lin & Xi Yao & Peng Zhang, 2020. "WTO accession, trade expansion, and air pollution: Evidence from China’s county‐level panel data," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 1020-1045, September.
    12. Wentao, Guo & Hongyu, Nian & Zhiqiang, Zhang, 2025. "How do firms adapt trade liberalization through diverse innovation strategies?," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 304-320.
    13. Matano, Alessia & Naticchioni, Paolo, 2025. "China's import competition, innovation strategies, and the role of unions," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 423-433.
    14. Han Hu & Shihui Yang & Lin Zeng & Xuesi Zhang, 2024. "U.S.–China trade conflicts and R&D investment: evidence from the BIS entity lists," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    15. Maria Bas & Vanessa Strauss-Kahn, 2024. "Lower prices or higher quality? Firms’ response to increased competition following trade liberalization," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(2), pages 279-309, May.
    16. Xiaoling Zhao & Mingru Peng & Xing Wang & Rui Xu & Yongze Cui, 2024. "The Effect of Trade Policy Uncertainty on Green Technology Innovation: Evidence from China’s Enterprises," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    17. Chen, Ji & Wu, Liudan & Hao, Lili & Yu, Xiao & Streimikiene, Dalia, 2024. "Does the import of green products encourage green technology innovation? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    18. Liu, Qing & Lu, Ruosi & Lu, Yi & Luong, Tuan Anh, 2021. "Import competition and firm innovation: Evidence from China," Journal of Development Economics, Elsevier, vol. 151(C).
    19. Min Zhong & Zengtao Wang & Xing Ge, 2022. "Does Cross-Border E-Commerce Promote Economic Growth? Empirical Research on China’s Pilot Zones," Sustainability, MDPI, vol. 14(17), pages 1-18, September.
    20. Evgeniy Ozhegov & Nikita Kosolapov & Iuliia Pozolotina, 2017. "On dependence between housing value and school characteristics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 28-48.

    More about this item

    Statistics

    Access and download statistics

    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:bla:growch:v:52:y:2021:i:2:p:1062-1079. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.