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Study on economic value of urban land resources based on emergy and econometric theories

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Abstract

Extensive economic growth, waste of land resources and low land value are common problems in many cities around the world. Therefore, it is necessary to calculate the value of urban land resources reasonably. An economic value accounting model of urban land resources was constructed based on emergy and econometric theory in this study. Among them, emergy theory served natural land resources (waterbody, forest land and grassland) and economic theory served non-natural land resources (road and building land). Taking Zhengzhou City, China, as the study area, the results showed that the economic value of waterbody, forest land, grassland, road and building land in 2012 was, respectively, ¥3.08 × 1010, 9.19 × 109, 5.48 × 109, 3.07 × 1010, 2.83 × 1012. Due to the characteristic of building land, both economic value and economic density were the largest, exceeding the total value of urban natural resources. This research may provide scientific management and decision-making basis for the government to develop general plans for land use. Moreover, the value research of urban land resources is the basis and precursor for urban flood disaster assessment.

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Acknowledgements

This present study is financially supported by the Key Program (Grant No. 51739009), the General Program (Grant No. 51879241) and the Youth Program (Grant No. 51809239) of National Natural Science Foundation of China. We also grateful acknowledge the Chinese Academy of Sciences Resource and Environmental Data Center and the Zhengzhou Bureau of Statistics for providing data and information. We also thank reviewers for their insightful comments that have helped improve this manuscript.

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  1. School of Water Conservancy & Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Hong Lv, Xinjian Guan & Yu Meng

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  1. Hong Lv
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  2. Xinjian Guan
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  3. Yu Meng
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Correspondence to Yu Meng.

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Lv, H., Guan, X. & Meng, Y. Study on economic value of urban land resources based on emergy and econometric theories. Environ Dev Sustain 23, 1019–1042 (2021). https://doi.org/10.1007/s10668-019-00573-4

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