แปลบทความวิจัยa variable.Thismayhav

แปลบทความวิจัยa variable.Thismayhavebeenaproblem,asthiscoefficient
measures thetotalnumberoftheeconomicallyactivepopulation
in agriculture;here,weseealimitationofourdata,whichhas
affected ourprobitestimation.
R&D isstatisticallysignificantinallcolumns;thisvariableis
positive incolumns3and9aswell,whichagreeswithour
intuition—higher levelsofexpenditureonR&Dleadstowardsthe
adoption ofbiofuelpolicies(NewGDPwasusedinthisregression,
due tothehighcorrelationbetweenGDPandR&D).Theelasticity
of R&Dincolumn3islargerthanthoseofTarrifsandFeedstockP
(Table A6, Appendix 6). Thisagreeswith Berg (2004), whoopines
that havingappropriatetechnologiesisafundamentalfactor
contributing tosuccessfulbiofuelproduction.Thenegativesign
in column6ispuzzling;R&Dbecomespositiveintheprobit
model afterPopInAgricincolumn7istakenout.Thismaybe
another indicationofthedifficultyofutilisingPopInAgricinthe
probit estimation.ThesignificanceofPopInAgricactually
increases incolumn3,comparedtocolumn2.Allothersignifi-
cance levelsdecreaseintheOLSmodel.Thisislikelyduetothe
lack ofsufficientandconsistentR&Ddata,whichconsiderably
minimised oursamplesize,whichmustbeconsidered.Observing
that thesamplesizedecreasessignificantly,andthatourpseudo-
R2 equals oneincolumns7,8,and10,indicatesthatthisprobit
regression maynotbecompletelyreliable.
Contrastingourintuition,Oilisnegativeandsignificant,while
we expectedthisvariabletobepositive.Infact,Oilisonlypositive
whenGDPandR&Dareremoved,whichisdemonstratedin
columns 5and11.Bydroppingthesevariables,though,onlyOil
and Tariffsremainstatisticallysignificant.Wewillseehowouroil
importsvariablereactswhensplitintoOECDandNon-OECDgroups.
Though Almirall etal.(2010) find thatadecreaseinlandleads
to increasecropprices,thecorrelationoffeedstockpricesand
biofuel policiesinoursampleis 0.01659. Thus,thereisnota
correlation problembetweenthesetwovariables.Furthermore,
regressing BioPolonFeedstockPleavesBioPolstatisticallyinsig-
nificant, asisdemonstratedin Table 2.

ผลลัพธ์ (อังกฤษ) 1:

Translate a research article, variable.Thismayhavebeenaproblem, asthiscoefficientmeasures thetotalnumberoftheeconomicallyactivepopulationin agriculture;here,weseealimitationofourdata,whichhasaffected ourprobitestimation.R&D isstatisticallysignificantinallcolumns;thisvariableispositive incolumns3and9aswell,whichagreeswithourintuition—higher levelsofexpenditureonR&Dleadstowardstheadoption ofbiofuelpolicies(NewGDPwasusedinthisregression,due tothehighcorrelationbetweenGDPandR&D).Theelasticityof R&Dincolumn3islargerthanthoseofTarrifsandFeedstockP(Table A6, Appendix 6). Thisagreeswith Berg (2004), whoopinesthat havingappropriatetechnologiesisafundamentalfactorcontributing tosuccessfulbiofuelproduction.Thenegativesignin column6ispuzzling;R&Dbecomespositiveintheprobitmodel afterPopInAgricincolumn7istakenout.Thismaybeanother indicationofthedifficultyofutilisingPopInAgricintheprobit estimation.ThesignificanceofPopInAgricactuallyincreases incolumn3,comparedtocolumn2.Allothersignifi-cance levelsdecreaseintheOLSmodel.Thisislikelyduetothelack ofsufficientandconsistentR&Ddata,whichconsiderablyminimised oursamplesize,whichmustbeconsidered.Observingthat thesamplesizedecreasessignificantly,andthatourpseudo-R2 equals oneincolumns7,8,and10,indicatesthatthisprobitregression maynotbecompletelyreliable.Contrastingourintuition,Oilisnegativeandsignificant,whilewe expectedthisvariabletobepositive.Infact,OilisonlypositivewhenGDPandR&Dareremoved,whichisdemonstratedincolumns 5and11.Bydroppingthesevariables,though,onlyOiland Tariffsremainstatisticallysignificant.WewillseehowouroilimportsvariablereactswhensplitintoOECDandNon-OECDgroups.Though Almirall etal.(2010) find thatadecreaseinlandleadsto increasecropprices,thecorrelationoffeedstockpricesandbiofuel policiesinoursampleis 0.01659. Thus,thereisnotacorrelation problembetweenthesetwovariables.Furthermore,regressing BioPolonFeedstockPleavesBioPolstatisticallyinsig-nificant, asisdemonstratedin Table 2.

ผลลัพธ์ (อังกฤษ) 2:

A research article Variable.Thismayhavebeenaproblem, Asthiscoefficient
measures Thetotalnumberoftheeconomicallyactivepopulation
in agriculture; here, Weseealimitationofourdata, whichhas
affected Ourprobitestimation.
R & D Isstatisticallysignificantinallcolumns; Thisvariableis
positive Incolumns3and9aswell, Whichagreeswithour
Intuition-higher LevelsofexpenditureonR & Dleadstowardsthe
Adoption Ofbiofuelpolicies (NewGDPwasusedinthisregression,
Due TothehighcorrelationbetweenGDPandR & D) .Theelasticity
of R & Dincolumn3islargerthanthoseofTarrifsandFeedstockP
(Table A6, Appendix 6). Thisagreeswith Berg (the 2,004th), Whoopines
that Havingappropriatetechnologiesisafundamentalfactor
Contributing Tosuccessfulbiofuelproduction.Thenegativesign
in Column6ispuzzling; R & Dbecomespositiveintheprobit
Model AfterPopInAgricincolumn7istakenout.Thismaybe
another IndicationofthedifficultyofutilisingPopInAgricinthe
probit Estimation.ThesignificanceofPopInAgricactually
increases Incolumn3, Comparedtocolumn2.Allothersignifi-
CANCE LevelsdecreaseintheOLSmodel.Thisislikelyduetothe
Lack OfsufficientandconsistentR & Ddata, Whichconsiderably
minimized Oursamplesize, Whichmustbeconsidered.Observing
that Thesamplesizedecreasessignificantly. , Andthatourpseudo-
R2 equals Oneincolumns7,8, and10, Indicatesthatthisprobit
regression Maynotbecompletelyreliable.
Contrastingourintuition, Oilisnegativeandsignificant, while
we Expectedthisvariabletobepositive.Infact, Oilisonlypositive
WhenGDPandR & Dareremoved, Whichisdemonstratedin
Columns 5and11.Bydroppingthesevariables, though, OnlyOil
and Tariffsremainstatisticallysignificant.Wewillseehowouroil
ImportsvariablereactswhensplitintoOECDandNon-OECDgroups.
Though Almirall etal. (. 2,010th) Find Thatadecreaseinlandleads
to Increasecropprices, Thecorrelationoffeedstockpricesand
Policiesinoursampleis biofuel? .01659. Thus, Thereisnota
correlation Problembetweenthesetwovariables.Furthermore,
regressing BioPolonFeedstockPleavesBioPolstatisticallyinsig-
Nificant, Asisdemonstratedin Table 2.

ผลลัพธ์ (อังกฤษ) 3:

Translation research articles a. Variable.Thismayhavebeenaproblem asthiscoefficient
measures,, Thetotalnumberoftheeconomicallyactivepopulation
in. Agriculture;,, here weseealimitationofourdata whichhas
affected ourprobitestimation.
R & D. Isstatisticallysignificantinallcolumns; thisvariableis
positive. Incolumns3and9aswell whichagreeswithour
-, intuition higher. LevelsofexpenditureonR & Dleadstowardsthe
.Adoption ofbiofuelpolicies (NewGDPwasusedinthisregression
due,, TothehighcorrelationbetweenGDPandR & D). Theelasticity
of. R & Dincolumn3islargerthanthoseofTarrifsandFeedstockP
(Table, A6 Appendix 6). Thisagreeswith Berg (2004), whoopines
that. Havingappropriatetechnologiesisafundamentalfactor
contributing. Tosuccessfulbiofuelproduction.Thenegativesign
in. Column6ispuzzling; R & Dbecomespositiveintheprobit
.Model afterPopInAgricincolumn7istakenout.Thismaybe
another. IndicationofthedifficultyofutilisingPopInAgricinthe
probit. Estimation.ThesignificanceofPopInAgricactually
increases. Incolumn3, the comparedtocolumn2.Allothersignifi -
cance. LevelsdecreaseintheOLSmodel.Thisislikelyduetothe
lack. OfsufficientandconsistentR, & Ddata whichconsiderably
minimised. Oursamplesize, the whichmustbeconsidered.Observing
.That, thesamplesizedecreasessignificantly andthatourpseudo -
R2, equals oneincolumns7 8 and10 indicatesthatthisprobit
regression,,, Maynotbecompletelyreliable.

we Contrastingourintuition Oilisnegativeandsignificant while,,, Expectedthisvariabletobepositive.Infact Oilisonlypositive
, whenGDPandR, & Dareremoved whichisdemonstratedin
columns. ,, 5and11.Bydroppingthesevariables though onlyOil
.And Tariffsremainstatisticallysignificant.Wewillseehowouroil

, Though importsvariablereactswhensplitintoOECDandNon-OECDgroups. Almirall etal. (2010) find thatadecreaseinlandleads
to. Increasecropprices thecorrelationoffeedstockpricesand
biofuel, policiesinoursampleis  0.01659. Thus thereisnota
correlation,, , problembetweenthesetwovariables.Furthermore
.Regressing BioPolonFeedstockPleavesBioPolstatisticallyinsig -
nificant asisdemonstratedin Table, 2.