File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Urban transformation optimization model: How to evaluate industrial structure under water resource constraints?

TitleUrban transformation optimization model: How to evaluate industrial structure under water resource constraints?
Authors
KeywordsBeijing
Industrial structure
Input-output optimization
Sustainable development
Urban transformation
Water resources
Issue Date2018
Citation
Journal of Cleaner Production, 2018, v. 195, p. 1497-1504 How to Cite?
AbstractMany major cities today are beginning to experience increasing water shortages. A major use of water is often in industrial production, and therefore its reduction should go a long way to correcting the situation. The composition of the whole local or regional industrial structure has a significant influence on this, with its combination of sectors of different resource-intensities varying in their scale of use. However, the form of industrial structure also has an influence on other aspects of city life – particularly its economic performance. Evaluating industrial structure, therefore, involves an optimization problem of, on the one hand, determining the appropriate proportions of various types of sectors that will best satisfy the objective of minimizing water consumption in the face of a range of economic and other constraints. Alternatively, it can be seen as an optimization problem with the objective of maximizing economic benefit under a range of water use and other constraints. In developing the optimization model, we first break down industrial water use into two objectives - (1) minimizing total consumption and (2) minimizing intensity (per unit) of consumption. Adding the economic objective of maximizing Gross Domestic Product (GDP), all three are then optimized retrospectively by a series of input-output analyses to evaluate the suitability of the industrial structure. The application of the model is demonstrated in a case study of Beijing that indicates that, while its industrial structures in 1992 and 2002 were far from optimal, the actual 2012 industrial structure was quite close to that determined by the model and augurs well for the city's future sustainable development.
Persistent Identifierhttp://hdl.handle.net/10722/333303
ISSN
2023 Impact Factor: 9.7
2023 SCImago Journal Rankings: 2.058
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Zhuoying-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorShi, Minjun-
dc.date.accessioned2023-10-06T05:18:19Z-
dc.date.available2023-10-06T05:18:19Z-
dc.date.issued2018-
dc.identifier.citationJournal of Cleaner Production, 2018, v. 195, p. 1497-1504-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/333303-
dc.description.abstractMany major cities today are beginning to experience increasing water shortages. A major use of water is often in industrial production, and therefore its reduction should go a long way to correcting the situation. The composition of the whole local or regional industrial structure has a significant influence on this, with its combination of sectors of different resource-intensities varying in their scale of use. However, the form of industrial structure also has an influence on other aspects of city life – particularly its economic performance. Evaluating industrial structure, therefore, involves an optimization problem of, on the one hand, determining the appropriate proportions of various types of sectors that will best satisfy the objective of minimizing water consumption in the face of a range of economic and other constraints. Alternatively, it can be seen as an optimization problem with the objective of maximizing economic benefit under a range of water use and other constraints. In developing the optimization model, we first break down industrial water use into two objectives - (1) minimizing total consumption and (2) minimizing intensity (per unit) of consumption. Adding the economic objective of maximizing Gross Domestic Product (GDP), all three are then optimized retrospectively by a series of input-output analyses to evaluate the suitability of the industrial structure. The application of the model is demonstrated in a case study of Beijing that indicates that, while its industrial structures in 1992 and 2002 were far from optimal, the actual 2012 industrial structure was quite close to that determined by the model and augurs well for the city's future sustainable development.-
dc.languageeng-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectBeijing-
dc.subjectIndustrial structure-
dc.subjectInput-output optimization-
dc.subjectSustainable development-
dc.subjectUrban transformation-
dc.subjectWater resources-
dc.titleUrban transformation optimization model: How to evaluate industrial structure under water resource constraints?-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2017.10.291-
dc.identifier.scopuseid_2-s2.0-85033218111-
dc.identifier.volume195-
dc.identifier.spage1497-
dc.identifier.epage1504-
dc.identifier.isiWOS:000440390900126-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats