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Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China

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  • Shengfu Yang

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

  • Shougeng Hu

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

  • Weidong Li

    (Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Mansfield, CT 06269, USA)

  • Chuanrong Zhang

    (Department of Geography and Center for Environmental Sciences and Engineering, University of Connecticut, Mansfield, CT 06269, USA)

  • Dongdong Song

    (School of Public Administration, China University of Geosciences (CUG), Wuhan 430074, China
    The Key Laboratory of the Ministry of Natural Resources for Legal Evaluation Engineering, Wuhan 430074, China)

Abstract

Industrialization has brought about great differences in industrial development and land use demand among different regions and cities, especially in rapidly industrializing countries with a vast territory. In those areas, implementing local-specific policies on industrial land price is of great significance to improve industrial land use efficiency and facilitate the sustainable development of regional economy. Based on the land pricing monition files of 105 industrializing cities, geographically weighted regression (GWR) was applied to detect the spatial variation of the industrial land price and its main impact factors (for example, tax, leased land, population, and location quotient index) in China in 2009, 2011 and 2014. The results show that the relationships were generally spatio-temporally nonstationary. More specifically, while the effect of tax on industrial land price was significantly positive and spatially stable all over China in 2009, the effect varied spatially in the two later studied years, weakened in North and East China and strengthened in South China. The effect of leased land on industrial land price was generally negative; it was very weak in 2009 and 2011 but became negatively strong in most studied cities in 2014, except for a few cities in Middle China. Population had a significant positive effect on industrial land price in the cities of East and Northeast China. For the three studied years, the location quotient index always had negative effect in Bohai Economic Rim and positive effect in Yangtze River Delta Economic Zone, and the negative effect strengthened with time. Meanwhile, the underlying reasons behind the relationships were further analyzed, showing that the spatio-temporal changes of industrial land price are closely correlated with the population mobility, industrial agglomeration, government intervention and economic situation.

Suggested Citation

  • Shengfu Yang & Shougeng Hu & Weidong Li & Chuanrong Zhang & Dongdong Song, 2020. "Spatio-Temporal Nonstationary Effects of Impact Factors on Industrial Land Price in Industrializing Cities of China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2792-:d:340179
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    4. Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    5. Xiaoying Ju & Huizhao Li & Peng Yao & Jianxu Liu & Fei Chen & Songsak Sriboonchitta, 2022. "Analysis of the Impact of Industrial Land Price Distortion on Overcapacity in the Textile Industry and Its Sustainability in China," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
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    7. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    8. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.

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