This study generally aims at investigating the basic factors behind the recent pelformance ofrnEthiopian cut-flower exports. Efforts are made to check whether factors of production andrnmarket and sector-specific incentives affect export supply, and to compute short-run and longrunrnelasticities. A one way error-component panel data model, based on data of 33 exportingrnfarms from 2005 through 2008, is estimated. Random-, fixed- and between-effects estimators arernfit to respectively capture over-all, short-run and long-run determinants and elasticities.rnThe descriptive analysis shows that the recent growth of Ethiopia 's cut-flower exports is notablernand can be explained by farms' use of more land under greenhouse cover. The econometricrnestimations generally reveal that both price and non-price factors explain cut-flower exportrnsupply. Land under greenhouse cover is found a strong determinant in all of our estimations.rnInfrastructure and transportation costs in the short-run and real exchange rates and hired laborrnin the long-run are additional important factors. All in all, cut-flower export supply is determinedrnsignificantly by relative prices, land, labor, sector-specific infrastructure and unit costs ofrntransporting flowers to major international markets. Being a foreign investor and associationrnmembership do not significantly affect export supply. Coefficients are found elastic for land,rninfrastructure and transportation costs, and inelastic for others. The results call forth strongrnefforts to fight inflation; reasonable worker payment, safety and training; continual follow-up ofrnfarms for effective and sustainable land use; and adequate infrastructural development.