Pro fe sso r Uwe Dulle c k & Pro fe sso r Re b e ka h Russe ll-Be nne tt
Hug, Nudge , Shove or Smac k?
T e sting appro ac he s to e nab ling c o nsume r e ne rg y use b e havio ur c hang e :
Me tho d
F unde d by
Who we a re Pr ofe ssor Uwe Dulle c k Pr ofe ssor Re be kah - - PowerPoint PPT Presentation
F unde d by Hug, Nudge , Shove or Smac k? T e sting appro ac he s to e nab ling c o nsume r e ne rg y use b e havio ur c hang e : Me tho d Pro fe sso r Uwe Dulle c k & Pro fe sso r Re b e ka h Russe ll-Be nne tt Who we a re Pr ofe
Pro fe sso r Uwe Dulle c k & Pro fe sso r Re b e ka h Russe ll-Be nne tt
Hug, Nudge , Shove or Smac k?
T e sting appro ac he s to e nab ling c o nsume r e ne rg y use b e havio ur c hang e :
F unde d by
Pr
Uwe Dulle c k
Be ha vio ura l E c o no mic s Pro fe sso r o f E c o no mic s, QUT Qld Be ha vio ura l E c o no mic s Gro up (QuBE ) Ho n. Pro fe sso r o f Be ha vio ura l E c o no mic s, Cra wfo rd Sc ho o l o f Pub lic Po lic y ANU
Pr
Re be kah Russe ll- Be nne tt
So c ia l Ma rke ting a nd Co nsume r Psyc ho lo g y Pro fe sso r o f Ma rke ting QUT Busine ss Sc ho o l Adjunc t Pro fe sso r, Na tio na l Unive rsity o f I re la nd, Ga lwa y Ste e ring Co mmitte e Me mb e r, GE E R
12.30-12.50pm: I
12.50-1.00pm: Brie f Ba c kg ro und to the Pro je c t 1.00-2.30pm: I
We lc o me to tho se who also atte nde d the
What we know
he fo ur po lic y le ve rs c a n b e suc c e ssful a t a ffe c ting b e ha vio ur c ha ng e
What we don’t know
c o nsume rs will re spo nd to e a c h o f the fo ur le ve rs whe n it c o me s to T
pric ing
Re se ar c h Que stions
Q1: Ho w do c o nsume rs re spo nd to
e a c h o f the fo ur po lic y le ve rs?
R Q2: Ho w do e s the initia l e ffe c t de c a y
R Q3: Ho w do individua l diffe re nc e s
influe nc e c o nsume r re spo nse s to the le ve rs?
E xpe r ime ntal L ab De sign
like pro so c ia l pro pe nsity
Sample
Da ta Cle a ning a nd Ana lysis
e sts a nd ANOVAs – Whic h le ve r is mo st influe ntia l, Ho w d o e s this d e c a y o ve r time
a c to ria l ANOVA – Whic h ind ivid ua l d iffe re nc e s influe nc e the e ffe c tive ne ss o f the le ve rs fo r e nc o ura g ing pro so c ia l b e ha vio ur?
E
le c tric ity pric e s a re inc re a sing
T
he re is inc re a se d pre ssure o n c o nsume rs
We c a n e ithe r
influe nc e the de ma nd
So urc e : Da ta fro m ABS, Gra ph fro m ACCC: Re tail E le c tric ity Pric ing I nq uiry – Pre liminary Re po rt, 22 Se pte mb e r 2017
Consume r E le c tr ic ity Pr ic e Inde x, Infla tion Adjuste d
De faults and E
ffic ie nc y
“De fault is an implic it e ndor se me nt”
(Sunste in, 2016; Ma dria n & She a , 2001; Mc K e nzie e t a l, 2006).
Smar
Oe la nde r a nd T
Sunste in (2016), Jo hnso n a nd Go ldste in, se e
L
Ho w a pric e is pre se nte d ma tte rs – T
Bro wn e t a l. (2013) – pe o ple g o with the
Sunste in (2016):
We lfa re , ne t-b e ne fits: Gre e n
Dig nity/ Auto no my: Ac tive Cho ic e . Se lf g o ve rnme nt – trusting
A ‘public good’ socia
Individual choices generally are made based on intuitive
Prosocia
E
ndo wme nt- re fe rs to the sum o f 10 to ke ns e a c h pla ye r
is g ive n to use during e a c h ro und
Co o pe r
ating- hig h c o ntrib utio ns to the pub lic g o o d
c o rre spo nd to a c ting pro -e nviro nme nta lly, a nd in turn re duc e d e le c tric ity c o nsumptio n
Co ntr
ibutio n- dire c tly tra nsla te s a s e le c tric ity
c o nsumptio n b e ha vio ur
Ac hie ving high le ve ls of c ontribution by the group is c onside re d c o- ope ration. High le ve ls of c oope ration are the ultimate goal of the public good game .
Choic e (re stric te d/ fre e ) a nd Outc ome (re wa rd/ punishme nt)
(Ac tive De c ision) F r e e c hoic e
I nc e ntive re wa rd
Hug
F re e c ho ic e o f E CU le ve ls Re wa rd o f a dditio na l $ e ndo wme nt
Smac k
F re e c ho ic e o f E CU le ve ls Punishme nt o f lo ss o f $ e ndo wme nt Disinc e ntive Punishme nt
Nudge
Re stric te d c ho ic e o f E CU le ve ls Re wa rd o f a dditio na l $ e ndo wme nt
Shove
Re stric te d c ho ic e o f E CU le ve ls Punishme nt o f lo ss o f $ e ndo wme nt
Re str ic te d c hoic e (Passive De c ision )
Que stio n: Ho w do yo u think the se finding s mig ht he lp to o pe ra tio na lise the nudg e , hug , smac k and sho ve in the e ne rg y se c to r?
Ba se line : Pa yoff = (10 – x)+ [ ¼ *(x+y)]*1.6
Standar d T r e atme nt
Hug : Pa yoff = (10 – x)+0.1x+ [¼*(x+y)]*1.6
Re wa rd fo r c o ntrib utio n
Nudg e : Pa yoff = (10 – x)+ [¼ *(x+y)]*1.6
Auto -se le c te d c o ntrib utio n a mo unt
Shove : Pa yoff = (10 – x)+ [¼ *(x+y)]*1.6
Cho ic e re stric tio n
Sma c k: Pa yoff = (10 – x) * 0.9 + [¼* (x+y)]*1.6
Punishme nt fo r no n- c o ntrib utio n
Que stio n: Wha t a re the e xisting le ve rs tha t yo u a re a wa re o f tha t e nc o ura g e c o nsume rs to c ha ng e the ir e ne rg y b e ha vio urs? Ho w a re c o nsume rs re spo nding ?
Co nsume r re spo nse s:
Willing ne ss to c o nse rve e ne rg y (kwh) Que stio n: wha t o the r va ria b le s wo uld yo u like to b e a b le to influe nc e ?
Stage 1: QuBE
Stage 2: Online surve y using pa rtne r Rub in8
http:/ / www.rub in8.c o m.a u/
Que stio n: wha t do yo u think o f the o nline vs the
sho uld b e in e a c h?
We c a n c o lle c t o nline o r o ffline Se e king g e ne ra l po pula tio n a dults
Que stio n: wha t sa mpling c rite ria a re c ritic ally impo rta nt?
Gro ups o f 4 pla ye rs (16 pe o ple a t a time ) simulta ne o usly Re a d instruc tio ns, T e st q ue stio ns Pla y 16 ro unds
T he n c o mple te surve y – de mo g ra phic s a nd mo de ra ting va ria b le s
Intro d uc tio n Sc re e n Co ntro l Che c k Que stio ns Co ntrib ute Sc re e n Ro und F e e d b a c k Sc re e n Surve y Pa yme nt Pa g e
Que stio n: Are the instruc tio ns c le a r a nd intuitive fo r the e xpe rime nt?
Que stio n: T he fig ure o f 160% c o me s fro m the lite ra ture …is this re a listic ?
I ma g ine in ne ig hb o urho o d 1, the se we re the c o ntrib utio ns:
9 5 3 5
If we a dd the se to g e the r, we g e t 20 to ke ns fo r the ne ig hb o urho o d to sha re . T he inve stme nt me a ns this to ta l g o e s up b y 160%, me a ning the ne ig hb o urho o d a c tua lly ha s 32 to ke ns. Whe n we divide 32 b y 4 pe o ple , this me a ns tha t e a c h pe r
son g e ts 8 toke ns ba c k.
T hanks for playing in r
Your e ar nings in this r
8 toke ns
Your total toke ns le ft: 9 toke ns
T he lo ng -te rm e ffe c tive ne ss o f the sho ve a ppro a c h T he sho rt-te rm e ffe c tive ne ss o f the hug a ppro a c h T he ine ffe c tive ne ss o f the nudg e a nd sma c k T he mo de ra ting e ffe c ts o f pro - so c ia l pro pe nsity in e le c tric ity c o nsumptio n. Ma le s a nd fe ma le s re spo nd diffe re ntly to inte rve ntio n a ppro a c he s. Pr ac tic al Implic ations for Polic y De ve lopme nt in the Pr
nvir
F re e Cho ic e
Sa tura tio n Po int
So urc e : Orr, Russe ll-Be nne tt & Dulle c k, 2017
1 2 3 4 5 6 7 8
A VERA G E C O NT RIBUT IO NS- DEC A Y EFFEC T (RO UNDS 1 - 1 6 )
Ba se line Hug Nudg e Sho ve Sma c k
T he d a ta sa ys:
tre a tme nt ma ke s the hig he st c o ntrib utio ns o f a ll fo ur tre a tme nts.
tre a tme nt ma ke s hig he r c o ntrib utio ns tha n the b a se line tre a tme nt.
c o ntrib utio ns we re no t sta tistic a lly d iffe re nt c o mpa re d to ro und 1.
we re sta tistic a lly sma lle r in the hug tre a tme nt c o mpa re d to ro und 1. Wha t this me a ns…
he sho ve is the mo st e ffe c tive a ppro a c h to a c hie ving susta ine d re d uc e d e le c tric ity c o nsumptio n.
he hug pro vid e s o nly te mpo ra ry b e ha vio ur c ha ng e in re d uc ing e le c tric ity c o nsumptio n.
he nud g e a nd sma c k a re no t e ffe c tive a ppro a c he s to a c hie ving re d uc e d e le c tric ity c o nsumptio n.
Que stio n: Ho w c lo se ly do yo u think the e xpe rime nts ma tc h wha t ha s b e e n do ne ? Wha t is ne w o r diffe re nt?
Optio ns: 1, 3, 5, 7, 9 De fa ult: No t a pplie d F
Optio ns: 1, 3, 5, 7, 9 De fa ult: No t a pplie d F
Optio ns: 1, 3, 5, 7, 9 De fa ult: Auto ma tic a lly la nds o n 7 F
Optio ns: 1, 3, 5, 7, 9 De fa ult: No t a pplie d F
Optio ns: 5, 7, 9 De fa ult: Re mo ve s lo we r o ptio ns e ntire ly F
Que stio n: T he stude nt re sults indic a te d the sho ve wo rke d b e st BUT wa s the b o tto m le ve l re stric tio n to o hig h – wa s it re a listic (e xte rna l va lidity)?
Wha t do we think mig ht influe nc e the e ffe c t
So c ia l/ e nviro nme nta l c o nsc io usne ss De mo g ra phic s – g e nde r, a g e , inc o me Po litic a l pe rsua sio n (c itize n type ) Struc tura l e ne rg y e ffic ie nc y to o ls e .g . so la r PV,
L
Se lf e ffic a c y Pe rc e ive d b e ha vio ura l c o ntro l
Que stio n: wha t o the r individua l diffe re nc e s do yo u think a re inte re sting in this c o nte xt?
Po we r a nd c o ntro l Po litic a l le a ning s Othe rs?
Ho w c lo se ly d o yo u think the e xpe rime nts ma tc h wha t ha s b e e n d o ne ? Wha t is ne w o r d iffe re nt?
Wha t a re the e xisting le ve rs tha t yo u a re a wa re o f tha t e nc o ura g e c o nsume rs to c ha ng e the ir e ne rg y b e ha vio urs? Ho w a re c o nsume rs re spo nd ing ?
De pe nd e nt va ria b le s: wha t o the r va ria b le s wo uld yo u like to b e a b le to influe nc e ?
Wha t d o yo u think o f the o nline vs the o ffline a ppro a c h? Wha t pe rc e nta g e o f sa mple sho uld b e in e a c h?
Wha t sa mpling c rite ria a re c ritic ally impo rta nt?
Are the instruc tio ns c le a r a nd intuitive fo r the e xpe rime nt?
T he e xpe rime nts: T he fig ure o f 160% c o me s fro m the lite ra ture …is this re a listic ?
Ho w d o yo u think the se find ing s mig ht he lp to o pe ra tio na lise the nudg e , hug , smac k and sho ve in the e ne rg y se c to r?
T he stud e nt re sults ind ic a te d the sho ve wo rke d b e st BUT wa s the b o tto m le ve l re stric tio n to o hig h – wa s it re a listic (e xte rna l va lid ity)?
Wha t o the r ind ividua l d iffe re nc e s d o yo u think a re inte re sting in this c o nte xt?
Disc ussio n to da y Sub missio n o f dra ft re se a rc h pla n E
F
T