2008
DOI: 10.1016/j.ecolecon.2008.03.002
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Economic impact of alternative water policy scenarios in the Spanish production system: An input–output analysis

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Cited by 67 publications
(28 citation statements)
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“…For example, Llop (2008) assess the effect of introducing a water tax and improving water use efficiency on water consumption and production levels. The change in income multipliers due to dam construction has also been considered in the case of the Bakra Dam in India using a Social Accounting Matrix simulation model (Malik 2007).…”
Section: Iomsmentioning
confidence: 99%
“…For example, Llop (2008) assess the effect of introducing a water tax and improving water use efficiency on water consumption and production levels. The change in income multipliers due to dam construction has also been considered in the case of the Bakra Dam in India using a Social Accounting Matrix simulation model (Malik 2007).…”
Section: Iomsmentioning
confidence: 99%
“…MRIO can track the impacts of international/interregional production and supply chains, spanning multiple sectors in multiple countries/regions, and covers all indirect impacts along the upstream supply chains [21,22]. Thus, MRIO is widely used to examine embodied emissions and materials in international/interregional trade, such as carbon/CO 2 emissions [23][24][25][26][27][28][29][30][31], energy flows [32][33][34], water consumption [35,36], PM 2.5 [37], SO 2 emissions [37][38][39], NO X emissions [37,38], CH 4 emissions [40], non-methane volatile organic compounds (NMVOC) [37].…”
Section: Introductionmentioning
confidence: 99%
“…Linear IO models applied to water typically combine input-output matrices and water accounts and apply a structural decomposition analysis that disaggregates the effects of a given shock on economic outputs and water use at different levels, from urban ) to multi-regional (Wan et al 2016). Because of their descriptive nature, researchers have frequently resorted to IO models to determine which sectors consume more water (directly and indirectly) (Bogra et al 2016), estimate their productivity (apparent and induced) (Duarte et al 2002), assess their exposure and vulnerability to shortages (Zhao et al 2015), and support the design of water and agricultural policy (González 2011;Llop 2008). Despite much progress, linear IO models still tackle two major issues insufficiently: (i) disruptions, such as droughts, are most often a disruption in the supply-side of the production chain; and (ii) modeling the substitution capabilities of other regions and/or other industries.…”
Section: Introductionmentioning
confidence: 99%