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Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data

Author

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  • Wang, Xueqi
  • Liu, Gengyuan
  • Coscieme, Luca
  • Giannetti, Biagio F.
  • Hao, Yan
  • Zhang, Yan
  • Brown, Mark T.

Abstract

Emergy analysis is one of the ecological thermodynamics methods. With a specific set of indicators, it is proved to be highly informative for sustainability assessment of national/regional economies. However, a large amount of data needed for its calculation are from official statistical data by administrative divisions. The spatialization of emergy in early researches were limited to the administrative boundaries. The emergy inside an administrative boundary renders a single value, which hides plenty of information for more precise regional planning.

Suggested Citation

  • Wang, Xueqi & Liu, Gengyuan & Coscieme, Luca & Giannetti, Biagio F. & Hao, Yan & Zhang, Yan & Brown, Mark T., 2019. "Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data," Ecological Modelling, Elsevier, vol. 397(C), pages 1-15.
    • Handle: RePEc:eee:ecomod:v:397:y:2019:i:c:p:1-15
    DOI: 10.1016/j.ecolmodel.2019.01.021
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    References listed on IDEAS

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    1. Brown, Mark T. & Ulgiati, Sergio, 2016. "Emergy assessment of global renewable sources," Ecological Modelling, Elsevier, vol. 339(C), pages 148-156.
    2. Arbault, Damien & Rugani, Benedetto & Tiruta-Barna, Ligia & Benetto, Enrico, 2014. "A first global and spatially explicit emergy database of rivers and streams based on high-resolution GIS-maps," Ecological Modelling, Elsevier, vol. 281(C), pages 52-64.
    3. Mellino, Salvatore & Ripa, Maddalena & Zucaro, Amalia & Ulgiati, Sergio, 2014. "An emergy–GIS approach to the evaluation of renewable resource flows: A case study of Campania Region, Italy," Ecological Modelling, Elsevier, vol. 271(C), pages 103-112.
    4. Su, Meirong & Fath, Brian D. & Yang, Zhifeng & Chen, Bin & Liu, Gengyuan, 2013. "Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management," Energy Policy, Elsevier, vol. 59(C), pages 600-613.
    5. Lee, Jae Min & Braham, William W., 2017. "Building emergy analysis of Manhattan: Density parameters for high-density and high-rise developments," Ecological Modelling, Elsevier, vol. 363(C), pages 157-171.
    6. Raupach, M.R. & Rayner, P.J. & Paget, M., 2010. "Regional variations in spatial structure of nightlights, population density and fossil-fuel CO2 emissions," Energy Policy, Elsevier, vol. 38(9), pages 4756-4764, September.
    7. Guomin Li & Yaoqiu Kuang & Ningsheng Huang & Xiangyang Chang, 2014. "Emergy Synthesis and Regional Sustainability Assessment: Case Study of Pan-Pearl River Delta in China," Sustainability, MDPI, vol. 6(8), pages 1-28, August.
    8. Brown, Mark T. & Campbell, Daniel E. & De Vilbiss, Christopher & Ulgiati, Sergio, 2016. "The geobiosphere emergy baseline: A synthesis," Ecological Modelling, Elsevier, vol. 339(C), pages 92-95.
    9. Huang, Shu-Li & Kao, Wei-Chieh & Lee, Chun-Lin, 2007. "Energetic mechanisms and development of an urban landscape system," Ecological Modelling, Elsevier, vol. 201(3), pages 495-506.
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    1. Sangui Yi & Jihua Zhou & Liming Lai & Qinglin Sun & Xin Liu & Benben Liu & Jiaojiao Guo & Yuanrun Zheng, 2021. "Different Causal Factors Occur between Land Use/Cover and Vegetation Classification Systems but Not between Vegetation Classification Levels in the Highly Disturbed Jing-Jin-Ji Region of China," Sustainability, MDPI, vol. 13(8), pages 1-23, April.

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