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Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models

Environmental Monitoring and Assessment volume 190, Article number: 541 (2018) Cite this article

Abstract

Significant differences in urban greening have occurred in Chinese cities, accompanied by China’s rapid urbanization. However, there are relatively few studies on the spatial differentiation of urban greening in China at the city level. In addition, there is no unanimous conclusion on the main factors influencing the spatial differentiation of urban greening. Based on 2014 emission inventory data from 289 cities, the spatial differentiation pattern and spatial correlation characteristics of the urban green space ratio, urban green coverage rate, and public green area per capita were calculated and analyzed using global and local Moran’s I. We then used ordinary least squares, spatial error model, spatial autoregression, and geographically weighted regression to quantify the impact and spatial variations of China’s economy on urban greening. The results showed (1) a significant spatial dependence and heterogeneity existed in urban greening values, and the patterns showed influences of both the stage of economic development and spatial agglomeration; (2) regression models revealed per capita GDP had a positive effect on the urban green space ratio and public green area per capita while the urbanization rate, secondary industry, urban land, and population density had opposite effects on these two greening indexes; and (3) geographically weighted regression revealed per capita GDP had a greater influence on urban greening in the northwestern region than in the southeastern region. The study could constitute a valuable reference for mid-to-long-term green space planning policy in diverse parts of China and could further assist in coordinating the development of urban greening and economic growth.

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 31670704), Research and Development Plan of Beijing Municipal Science and Technology Commission (Grant No. D17110900710000), China Postdoctoral Science Foundation (Grant No. 2018M630196) and State Key Laboratory of Subtropical Building Science (Grant No. 2017ZB09).

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Affiliations

  1. School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China

    Fangzheng Li, Xiyue Wang, Xiong Li, Xi Zhang, Yue Sun & Yuhong Wang

  2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Haimeng Liu

Authors
  1. Fangzheng Li
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  2. Xiyue Wang
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  3. Haimeng Liu
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  4. Xiong Li
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  5. Xi Zhang
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  6. Yue Sun
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  7. Yuhong Wang
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Contributions

Fangzheng Li contributed to the development of the idea and participated in all phases. Xiyue Wang, Haimeng Liu, Xiong Li, Yue Sun, and Xi Zhang helped perform the analysis with constructive discussion. Yuhong Wang helped improve the figures and manuscript. All authors have read and approved the final manuscript.

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Correspondence to Xiong Li.

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Li, F., Wang, X., Liu, H. et al. Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models. Environ Monit Assess 190, 541 (2018). https://doi.org/10.1007/s10661-018-6871-4

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  • DOI: https://doi.org/10.1007/s10661-018-6871-4

Keywords

  • Urban greening
  • Economic growth
  • Urban environment
  • Spatial variation
  • Geographically weighted regression
  • China