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dc.creatorHalkos G.E., Paizanos E.A.en
dc.date.accessioned2023-01-31T08:27:42Z
dc.date.available2023-01-31T08:27:42Z
dc.date.issued2016
dc.identifier10.1016/j.enpol.2015.10.035
dc.identifier.issn03014215
dc.identifier.urihttp://hdl.handle.net/11615/73857
dc.description.abstractThis paper examines the effects of fiscal policy on CO2 emissions using Vector Autoregressions on U.S. quarterly data from 1973 to 2013. In particular, we analyze the short- and mid-term interactions between fiscal policy and emissions by using sign restrictions to identify the policy shocks. We construct the impulse responses to linear combinations of fiscal shocks, corresponding to the scenarios of deficit-financed spending and deficit-financed tax-cuts. To consider possible variations of the effect of fiscal policy according to the sources of pollution, we distinguish between production- and consumption- generated CO2 emissions. The results point out that the implementation of expansionary fiscal spending provides an alleviating effect on emissions from both sources of the pollutant, whereas deficit-financed tax-cuts are associated with an increase on consumption-generated CO2 emissions. The exact pattern of the effects depends on the source of emissions, the scenario of fiscal policy that is implemented and the functional class of government expenditure being increased. © 2015 Elsevier Ltd.en
dc.language.isoenen
dc.sourceEnergy Policyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84949657472&doi=10.1016%2fj.enpol.2015.10.035&partnerID=40&md5=60db6ac3089d2970772fae9bae9c280d
dc.subjectPollutionen
dc.subjectRegression analysisen
dc.subjectTaxationen
dc.subjectFiscal policiesen
dc.subjectFunctional classen
dc.subjectGovernment expenditureen
dc.subjectLinear combinationsen
dc.subjectProduction and consumptionen
dc.subjectTax cutsen
dc.subjectVector autoregressionsen
dc.subjectCarbon dioxideen
dc.subjectElsevier Ltden
dc.titleThe effects of fiscal policy on CO2 emissions: Evidence from the U.S.A.en
dc.typejournalArticleen


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