Skip to main content
Log in

How does urban land use impact green total factor productivity? Evidence from 108 cities in the Yangtze River Economic Belt of China

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

The green use of urban land plays a crucial role in the high-quality development of regional economy. Meanwhile the green total factor productivity is considered an important indicator for measuring high-quality economic development. Based on panel data for 108 cities in the Yangtze River Economic Belt from 2003 to 2018, Spatial Durbin Model and Panel Threshold Model are used in this paper to analyze the impact of urban land scale endowments and land economic endowments on green total factor productivity. The results show that: (1) the green total factor productivity of cities in the Yangtze River Economic Belt ranges from 0.164 to 1.209, which is more than half of the cities achieved growth, and the average value fluctuated up and down during the study period; (2) the expansion of urban land scale significantly inhibits green total factor productivity, while GDP per unit land area promotes green total factor productivity; (3) the spatial correlation exists in urban land use and green total factor productivity, and there is heterogeneity in this impact among regions; (4) there is a threshold effect between urban land use and green total factor productivity, and the effect differs depending on which variables are considered (environmental regulations, average wage, and population density); and (5) under the regulation of urban population density, the influence of the urban land economic benefit on green total factor productivity changes from inhibition to promotion, showing a U-shaped relationship. Finally, we provide some policy suggestions for optimizing land use structures and improving land eco-economic efficiency of the Yangtze River Economic Belt.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The datasets used during the current study are available from the corresponding author on reasonable request.

References

Download references

Acknowledgements

We would like to thank the editors and the reviewers for their constructive comments and suggestions.

Funding

This work was supported by Humanities and Social Sciences Foundation of the Ministry of Education of China (No. 22YJA790030), and by the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUG2642022006).

Author information

Authors and Affiliations

Authors

Contributions

KG contributed to conceptualization, methodology, writing—original draft preparation, data collection, software and revising, formal analysis, validation. SL contributed to supervision, validation, writing—reviewing and editing. JB contributed to writing—reviewing and editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Shixiang Li.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest. There is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.

Consent to publish

All authors agreed to publish.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, K., Li, S. & Bai, J. How does urban land use impact green total factor productivity? Evidence from 108 cities in the Yangtze River Economic Belt of China. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-023-04439-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10668-023-04439-8

Keywords

Navigation