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Impacts of land finance on green land use efficiency in the Yangtze River Economic Belt: a spatial econometrics analysis

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Abstract

This paper uses the Global Malmquist-Luenberger Index (GMLI) based on directional distance function (DDF) super efficiency model to measure the urban green land use efficiency (UGLUE) of 108 cities in the Yangtze River Economic Belt (YREB) from 2007 to 2018, and it utilizes the spatial economic model to analyze the impact of land finance on the UGLUE and its mechanism of action. The results show that, firstly, the UGLUE in the YREB shows a steady development trend, the overall efficiency level is high, and there are spatial agglomeration characteristics. Secondly, the impact of land finance on the UGLUE presents “inverted U-shaped.” With the continuous expansion of the scale of land finance, the impact of land finance on the UGLUE in the city has changed from positive to negative. Thirdly, land finance has a spatial spillover effect. Land finance will inhibit the improvement of UGLUE in surrounding areas through the “peer effect.” With the continuous expansion of land finance scale, land finance will promote the improvement of UGLUE in surrounding cities through the “warning effect.”

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Data availability

The data that support the findings of this study are available from [www.cnki.net], but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [www.cnki.net].

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Funding

We sincerely thank the following project for their support on the study: Special Project of Philosophy and Social Science Research in Heilongjiang Province (20GLD235) and General Project of Philosophy and Social Science Research in Heilongjiang Province (17GLB024).

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Authors and Affiliations

  1. School of Finance, Harbin University of Commerce, Harbin, China

    Shen Zhong, Xiaona Li & Jun Ma

Authors
  1. Shen Zhong
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  2. Xiaona Li
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  3. Jun Ma
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Contributions

Shen Zhong: Conceptualization, resources, supervision. Xiaona Li: Methodology, software, data curation, investigation. Jun Ma: Formal analysis.

Corresponding author

Correspondence to Jun Ma.

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This study involves the macro data of human economy and society. All the data are from the Statistical Yearbook. The data collection process is in line with the ethical and moral standards. The research method of this study is spatial econometric method, and there is no need for ethical approval and animal experiment content. The author guarantees that the process, content, and conclusion of this study do not violate the theory and moral principles.

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Not applicable.

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The authors declare no competing interests.

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Zhong, S., Li, X. & Ma, J. Impacts of land finance on green land use efficiency in the Yangtze River Economic Belt: a spatial econometrics analysis. Environ Sci Pollut Res 29, 56004–56022 (2022). https://doi.org/10.1007/s11356-022-19450-1

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  • DOI: https://doi.org/10.1007/s11356-022-19450-1

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