000 02378nam a2200349 i 4500
001 CR9781009022910
003 UkCbUP
005 20260610102058.0
007 cr||||||||||||
008 201222s2024||||enk o ||1 0|eng|d
020 _a9781009022910 (ebook)
020 _z9781316516980 (hardback)
020 _z9781009016544 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aHC79.E5
_bG84 2024
082 0 4 _a333.72
_223
100 1 _aGuerrero, Omar A.,
_eauthor.
245 1 0 _aComplexity economics and sustainable development :
_ba computational framework for policy priority inference /
_cOmar A. Guerrero, Gonzalo Castañeda.
264 1 _aCambridge :
_bCambridge University Press,
_c2024.
300 _a1 online resource (xxvi, 392 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 15 Jan 2024).
520 _aThe Sustainable Development Goals are global objectives set by the UN. They cover fundamental issues in development such as poverty, education, economic growth, and climate. Despite growing data across policy dimensions, popular statistical approaches offer limited solutions as these datasets are not big or detailed enough to meet their technical requirements. Complexity Economics and Sustainable Development provides a novel framework to handle these challenging features, suggesting that complexity science, agent-based modelling, and computational social science can overcome these limitations. Building on interdisciplinary socioeconomic theory, it provides a new framework to quantify the link between public expenditure and development while accounting for complex interdependencies and public governance. Accompanied by comprehensive data of worldwide development indicators and open-source code, it provides a detailed construction of the analytic toolkit, familiarising readers with a diverse set of empirical applications and drawing policy implications that are insightful to a diverse readership.
650 0 _aEnvironmental economics.
650 0 _aEnvironmental policy.
700 1 _aCastañeda, Gonzalo,
_eauthor.
776 0 8 _iPrint version:
_z9781316516980
856 4 0 _uhttps://doi.org/10.1017/9781009022910
999 _c10374
_d10374