Abstract

Research background: Countries are likely the most important subjects involved in the environmental control and response to global environmental issues, while the majority of the related metabolic analyses are focused on the metabolism at the city scale.

Objective: Analyzing why and how to scale up the metabolic study from city to country.

Methods: Combining quantitative analysis with a literature review socio-metabolic research, since it is an effective method to study resource and environmental issues and has been applied at different scales.

Results: 1) A single city or a smaller area is hardly self-sufficient, and its sustainability and resilience needs the support of the surrounding environment; 2) At the country scale, systems exhibit a higher level of self-organization and a corresponding higher level of complexity, addressing the need for applying the metabolic theory at the national scale; 3) The emergy analysis methods show its advantages in study metabolic processes for national metabolism; 4) Input-output analysis plays an important role in and region coordination.

Conclusions: The interactions among and within the scales are nested, as well as the goals and methods. Therefore, socio-metabolic research on scales differ in their priority goals, and the methods adopted must be targeted.

Details

Title
From local to national metabolism: a review and a scale-up framework
Author
Yan, Ningyu 1   VIAFID ORCID Logo  ; Liu, Gengyuan 2 ; Ripa, Maddalena 3 ; Wang, Ning 4 ; Zheng, Hongmei 5 ; Gonella, Francesco 6 

 State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China 
 State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China; Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing, China 
 Institut De Ciència I Tecnologia Ambientals, Universitat Autònoma De Barcelona, Bellaterra, Spain 
 Beijing Key Lab of Green Development Decision Based on Big Data, Beijing Information Science and Technology University, China 
 Department of Resource Management, Tangshan Normal University, Tangshan, China 
 State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China; Department of Molecular Sciences and Nanosystems, Università Ca’ Foscari Venezia, Venice, Italy 
Publication year
2020
Publication date
Dec 2020
Publisher
The American Association for the Advancement of Science
ISSN
20964129
e-ISSN
23328878
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2474448333
Copyright
© 2020 The Author(s). Published by Taylor & Francis Group and Science Press on behalf of the Ecological Society of China. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.