A network-based frequency analysis of Inclusive Wealth to track sustainable development in world countries.
Using human (HC), natural (NC), and produced (PC) capital from Inclusive Wealth as representatives of the triple bottom line of sustainability and utilizing elements of network science, we introduce a Network-based Frequency Analysis (NFA) method to track sustainable development in world countries f...
| Publicado en: | Journal of Environmental Management Vol. 218; pp. 348 - 355 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Academic Press Inc.
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=129566500&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 129566500 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Jul2018 vid: 218 pid: 735 pub: Academic Press Inc. artinfo: ui: 129566500 10.1016/j.jenvman.2018.04.070 ppf: 348 ppct: 7 formats: tig: atl: A network-based frequency analysis of Inclusive Wealth to track sustainable development in world countries. aug: au: Ahmad, Nasir Derrible, Sybil Managi, Shunsuke affil: Complex and Sustainable Urban Networks (CSUN) Laboratory, 2095 Engineering Research Facility, 842 W. Taylor Street (M/C 246), University of Illinois at Chicago, Chicago, IL 60607-7023, USA Departments of Urban and Environmental Engineering, School of Engineering, Kyushu University, Japan su: Sustainable development Socioeconomics Trends Natural resources management Frequencies of oscillating systems sug: subj: Sustainable development Socioeconomics Trends Administration of General Economic Programs Administration of Air and Water Resource and Solid Waste Management Programs Natural resources management Frequencies of oscillating systems keyword: Inclusive wealth Network science Inclusive wealth Network science ab: Using human (HC), natural (NC), and produced (PC) capital from Inclusive Wealth as representatives of the triple bottom line of sustainability and utilizing elements of network science, we introduce a Network-based Frequency Analysis (NFA) method to track sustainable development in world countries from 1990 to 2014. The method compares every country with every other and links them when values are close. The country with the most links becomes the main trend, and the performance of every other country is assessed based on its ‘orbital’ distance from the main trend. Orbital speeds are then calculated to evaluate country-specific dynamic trends. Overall, we find an optimistic trend for HC only, indicating positive impacts of global initiatives aiming towards socio-economic development in developing countries like the Millennium Development Goals and ‘Agenda 21’. However, we also find that the relative performance of most countries has not changed significantly in this period, regardless of their gradual development. Specifically, we measure a decrease in produced and natural capital for most countries, despite an increase in GDP, suggesting unsustainable development. Furthermore, we develop a technique to cluster countries and project the results to 2050, and we find a significant decrease in NC for nearly all countries, suggesting an alarming depletion of natural resources worldwide. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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