资源描述：
《估计地震风险评估的消费者-来自日本的房地产市场【外文翻译】》由会员上传分享，免费在线阅读，更多相关内容在行业资料-天天文库。
1、外文翻译原文EstimatingConsumerValuationofEarthquakeRisk-EvidencefromJapaneseHousingMarketsMaterialSource:InternationalRealEstateReviewAuthor:MichioNaoi,KazutoSumita,MikiSekoItiswellknownthatjapanisthemostfrequentearthquakesinthecountrybecauseitislocatedint
2、hestructureoffour.accordingtoopinionsurvey（currentpress,2002,theearthquake）（73.2％）consideredthemostimportantriskfactor.mainlyofnaturalandhumandisasterandfire（66.1％）,theflood（43.2％）andvolcaniceruptions（15.7％）.Becauseearthquakesarehavingariskfactor,dep
3、endonspecificlocation,andtheirrisksshouldbecapitalizedforthelocalhousingandlandprice.theearthquakeriskisimportant,notonlybecauseitisadirectmeasurementtothewelfareoftheloss,butalsobecauseitisnecessarytoassessthedamage.thedangershouldbedividedintotwopa
4、rts：（1）thetwopossibilities（2）place,thepropertydamage.Thestrengthoftheprobabilityispureandhadnobasisofcontrolanddisasterpreventionpolicytoolshouldbefocusedontotheutmostreductionintheearthquakedamage.thetwocomponentsareinterrelated,whichisresistanttoqu
5、akespoliciesmaybewidelyimplementedintheareaofahigherprobabilityofcomponents,itisthesewillleadtoinaccurateresults.Forexample,ifweuseoftheearthquakerisk,probabilityandwehaveomittedfromthelocalpropertyanalysis,theprobabilitythatwillbeunderestimated,beca
6、usethevibrationontheimplementationofpoliciesinthisarea.therefore,weneedtoconsiderallthecomponentsusedtoassesstheeffectivenessofthevibrationpolicyobservationdata.Inthistreatise,wewillcombinefamilycoversalloftheverticaldata.theearthquakeofinformationto
7、makesomeassessmentofearthquakerisk.aspreviousstudies,ourcontributionisasfollows：First,weclearlymadeanumberofmeasuresfortheearthquakeriskinthosestatedabove,theprobabilityofearthquakesoccurfourordamageandthelocalpropertyasaseparatetheearthquakerisk.Sec
8、ondly,therewasasmallerareaofresearchandconcentrateon,weareusingthelongitudinaldatainouranalysis,toenableustochecktheeffectofthejapanesemarketofhousing.theearthquakerisk.Third,theresearchmainlyconcentratedinthelandandleasingmarketforourdatasetswhichwe
