HomeMy WebLinkAbout0493.000, ,
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o o THE SU8JECT0:l
THIS REPORT
!SA
COUNCIL PRIORITY ,
----'
HONORABlE CI1Y COUNCil
Pila Alto" (aliforn;.
Attention: finance and Public Works Committee
~mbers of the Cou~cil:
~tatemellt (If Pu_-,-,,~os_~_
On february ]3, 1990, the fi"anc~ and Public ~o~ks Committee {f&PW). after
reviewing ".ayor Cobb's outline on eCQ(lQrnic trends and issues. reql1ested tl'lat
staff provide information on the relationship between planning decis;ons and
potential revenue impacts 00 t~e City. This staff report responds to that
request ~
~flENIJf: HIPACT ANAL YSI S
Jhe contents Qf t~is report ..-jll include.: l} oil brief des.<:riptfon of the
'istory of revenue impact analysis im Pal~ Altors planning re~iew process; 2J
an i~entificatfon of the principal revenues affected by planning decisions,
partic~larl, 11 t~e prgject review process; 3J a d€scriptinn of the size of
suc~ revenues 11 t~e (it1's general fund, ~;tk exampTes of amounts of revenues
generated from specffic districts and ~ses; 4) a d;scwssicn of resources
necessary to determfne potent1a1 revenue impacts; and 5) a discussion of
options a~i11ab1e to the City in considering f~ture revenue impacts.
A separate report address;ng re~evelopment issues and opportunities will be
sellt tit the finance and Publ lC Works Committee h Ue flear future for re ... few
at a subsequent meeting4
Hi s tor:I~ons i derit i on 0..f_!j_~_~~J ___ Jmpacts
Consideratfon of potential locaT government revenue impacts ~as not been i
s;gniffcant element of the land ~se planning and decision 4 making ~rocess in
Pila Alt~ since the ]9605, ~hen (;tl revenues reached sufficient magnitude to
cover betA operating and capital expenditures of tne (;tJ4 During the 1970s
and 198Cs. d€velepment projects and changes i~ PiTo Alta land use po1icles and
regulations were evaluated ;1 tne approval proc~ss according to Comprehensive
Plan objectives and policies. zoning regulitions and, especiilly after
appro,.l of the C.lifor," En,ironment.l Qu.lity Act (CEQA) j, the 19705,
env; r{)nment a1 criteria ~
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Rev~n.ues Af[ected by Planni.':!3 Oeci~Lons-.1prQlliJ __ ~n_rov __ ~J~.l
Sources of (it¥ revenU~5 that could be ~ost affected by new development or
c~anges in ~se are 1) taxable sales revenue; 2J propert, ta~ revenue; and 3)
transfent occupanc~ ta( revenue. T~e paragraphs below summarize t~e relative
importance of these reveD-ties to tne. (it)'~ tI'leir prfncipal generators and
factors .fretting their yariat;on and fluct~atfon.
~_te_~ Tu: R_~_venue~
11 fiscal ,year ]989-90, saTes tax revenues for Palo Alto totalled SIC mOl iQn~
.. r.icia equates to appro'-:il7late11 24 percent of the Cit,)'~5 general fUnd revenues
including utility fund transfers. ThE eits receives one cent on eac~ taxab1e
sales dolra~_ Approximatel, two-thirds of this re~enue co~s fro~ ta~able
retail sales and Dne-third comes fro~ business sales transactions_
Since PropOSition 11 (Jar~isJGann Ta~ i~;tlative} restrlcte1 increased
propert~ taxes ~s I major source of additional revenue far munfcipalities.
(aliforlii citffS~ including Palo Alto, ~ave increas;ngl, relied upon the
sales tax as a ~ajor revenue generator.
As a resolt of t~is increasing importance of sales ti~ revenues, t~e CitS
retained ~unfcfpal Resource Consultants to tract and analyze taKable sales
treR1$ withl. the entire Cit]. Wit~;~ t~js scope ~f work. t~e consultants are
monitoriDg (our districts separately for taxable sales aeti,;t,: the Stanford
Shopping (eRter, Downtown Palo Alto 7 the (alifortia Avenue Business Distr;ct
and the Stanford Research Pari_ Table] below shows t~e ~ercentage Qf taxable
sales for these districts f~ calendar year 1989.
Tab!e I
Percentage Palo A1to Sales Tax Revenues
By DistTlct
1989
Downtown Palo Alto
Stanford Shopping Center
Califormfa A~enue
Stanford R.s.ar'~ Park
Other
Tot.l
Percent
__ !~H_l __
IZ.O%
2,. 7~
5.9\
lO.7X
~'c7,!
100.0%
Tradltional retail sales activities (e.g., apparel, department stores,
restaurants and auto sales) are responsible for generatlng most of the ta~able
sales il Do~tQwn Pala Alto, Stanford Shopping Center and to a lesser degree
il Califorlra Avenue. However. most Qf the Stanford Researc~ Park ta~able
sales re~€nues orfginate from so-called busfness-to-business transactfons,
rather than (rom sales transactions wit~ individuals or ~ousehold consumers.
J~xabl! sales withi. tne retail sector also can be examined by business
cllss;fication. e.g. apparel. general merchandi~, auto and eating and
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drin\;ng~ lib'e 1]. pre~ared by Municipal Resource Consdltints. sho~s the
total percentlgt of t~xable sales re~!~ues gene~ited by ~ajor retail
categories for 'al. Alt. i. 1989. Tabl •• III and If compar. 'a10 Alto's
relltf~e share Qf taxable sales O~ i per capita bas;s il ~ost of these
citegorles~ -nth per capttl sales in these categories withj~ San ~ateD and
Santa (lara CQ~ftt(es~ WhIle campetiti~n is incre~siog te both cQuntie$~ Palo
Alto co~tfnues tD bold I significant share of the re9iona1 market 1! apparel,
department store and fl restaurant taxable sales4 On the other ha~d. Palo
A1tl falls below its nom!nal per capita share wit~i~ the t.a-county region for
building ~at~rlil siles~
Tabl. II
Percent.ge 'al. ~lt. Taxable S.l •• Rev.nu ••
B, S.l •• Catega<,
1989
'able til
Apparel
De~artment St~res
Drug 'Stores
food Stores.
L 1Quor Stores
Restaurants
fur.it~r~/Applicance
Building ~at.rj.ls
Automobile
service Stltfons
Other Retail
Subtotal: Retail
B~siness tD Business
Tota 1 ,qevenues
,.1. Alto 'er Capita S.le.
'ersus San ~.teo County
Per Capita Sales
19a9
-.p1'AAE\. 110ft.S,
DE~ lYEWT IIlClA[I
DRUIIl'OAI:I
1"000 1T0At'
't.\CIIJOI &la.w ..
1I1'~""'T'
F~/,,",UAJIIC£
M/lu..tG 1W1Jt:IW.oIIl'
"'-.
0.0%
11.3l1.
0.7:1.
Z.3l1.
0.3%
10.2\
3.0lI.
1.1%
10.6\
2.2\
11.7~
66.0li.
31.~
100.0li.
Tabl. IV
'al0 Alto 'er Capita Sale.
'.rsus Santa Clara County
'er CapIta Sales
198!1
N'~Sl:()g£'
D!Ei"MTWENT nOR£I
R:""ICE .JW1OtQ
JILL O'HOI JIOIIIL jll!!!!l!!!I!!!I!l!!!!~
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1lilE.lM. ~tI iPOLL~S
DA\J11I aTOI'tEI
'000 IntmCl
UQlJO~ 1't0f'lE'
~E.&P\IJA...".nl
FURNnm[/lV"PU~
IIUlLa..I(llIlJElfl."lL1
NollOlloe .. £
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ALL OlHUI AE ..... IL l~~_~_,_.
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o o lix~ble sales revenues. particwlarlJ retail sales, are frequ€ntlJ e~iluated on
the amount of annull sile revenues genented per s.qlJare foot of floor irea.
Table Y compares 1989 annual taxabl! sales revenues per square foot of floor
irel for the entire Stanford S~opp;ng Center, selected block frontages alang
Un'~erslt, Avenue ;g downtown Palo Alto, i selected block frontage on
C.alifoTlfi Avenue and PiTo Alto's three neighborhood skopp\ng centers t
Edgewood Shoppfng Center, (harlestan Center and Alma Plaza.
Table'
Sales Tax Revenue Per Square foot
By Retail Sites
floo< Are. (1989)
Al~. PIau
Charleston fIazl
Edgewood Plaza
Downtown
(300-400 Blocks UnIY.)
Sales Tax
Revenue
$
t
$
$
52,570
39,048
80,849
197,858
(iI' t fOrlia Avenue A'S 33,311
(310-414 (aliforll. Ave.)
Stanford Shopping Ce.ter n,145,117
Annual
Sales Tax
floor Area Revenue Per
_Sg"_O_'O Feet _~_floor Are.
55,SIO SO.95
31,972 SL03
58,031 SL39
100,301 Sl.97
19,664 SLll
1,400,000 S1.2S
Nott: 'iCant stores, available for occupancy. were included ;~ the
computations for sales data i~ this Table is well as occupied
commerclal frontage ~ose ~ses do not generate taxable sales.
Taxable sales revenU~$ generated OD a square foot basis vary substantially by
~istrlct as ~el1 is by areas wit"i~ a district. Thus s;tes along ~pr;me
areas-~f Universit, Avenue have a \igh taxab1e sales yield per square foot of
floof" area. wflereas Hie sales tax revenue yield for total commerci a1 floof'
area 1. Downtown Palo ~lto ~ou'd be less t~an S .5D per ~ square foot because
~uc~ of this commercial floor area is not occupied by activities gener~ting
taxable sales.
Retail sales activities w1thi~ a c't1 SUCA as Palo Alto are affected by
seasonal cycles. as well is business cycles. Seasonal retail cycles ~suallJ
peak during the Chrjst~as shopping season. Regarding the effects of bus loess
<JcTes, ~eQ the ~at;o"al and local econcmies are on upward growth curves.
lOCil retail sales can be expected to increi~e on an annual basis. When the
econo~jes are ·soft.~ local retlil saTes maj decline. Business sa1es are
affected not onl, b1 b~s;ness tycles but also by uniQue needs of Tocal
business sales clients. for example~ sales for spec1alized business ~ac~in~ry
orders may not respond t~ or reflect any ~easurab1e business cycle.
r_ re~Jew;ng a pr~Ject for potentia' sales ti~ revenues, professional land
deweloprnent economists could project J range of taxabie sales for projects
propos;~g traditional retiil ~ommercial spate. On the other hand. proJecting
taxable ula revenues for proposed ofUce "s.es 'IIIou1d be ex.tremely diffi<:wlt,
becau>E typicil cfffce functions, partjc~lar]1 l' Pil~ Alto, are service
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oriented and IS ~ result ~re not generators of sales tax revenues.
Nonet~eless* Dffices for busfness ~achfne salPi or ot~er b~lk ~aterial sales
could and do generate substantial revenues I~r cit1es where the1 are located.
Decisions regarding the location of sucb sales offices, under ~ost
circumstances, are not affected by local ,lann1ng decisi9ns but rather ~y
corporate needs and policies concerning t~e appr~priate location Df sue' sales
affiees.
Property Tax Re¥en~
Pala Alto·s propertJ tax revenues (or f$scal year 1989-90 tot,lled S7.43
.illfon, or 12.1 percent of t~e C;ty·s general (und revenues. Since t~e
passage of PropOSition J3 fn 1918, Palo Alto's property tax ~ontribution to
general fund re~enues ~as declined from a1most l4 percent i~ fiscal year
1971-18 to the c~rrent 12.1 percent. Nonetheless, the property ta~ is still a
major source of revenue tD the City's general fu~d.
Propertl tax revenue t~ a municipality originates from two principal sources:
i) secured assessments Df land, bu1ldfngs, and leasehold improvements~ and 2J
unsecured assessments ~blc~ are assessments on goods (e.g., eqUipment,
~e~icles, furliture) tnat are not physically attached to a structure.
Revenues from secured property tax issessme~ts are partic~1arll iffected by
P.·oposHiorl l3, becoit!.lse properties are not reassessed to Ilariet nl[Je unless
owners~ip changes or properties ~n~ergo c~ange il USE. Unsecured property is
assessed at 100 percent ~f marlet wal[Je during its first year of purc~l$e and
t~e~ fs subject to ~ s~ort te~ straight-line deprecfition formula.
As previousl, stated~ two factors t~at Cin change sec~red rtll propertJ tax
revenues for a gi~eR prQ~ertl are title transfers and new development. As a
resttt. the variation 11 propert} tax assessments between new development and
.lder development that ~as not c~anged own~rshi~ ;s significant. Table YI
c~ares as>essme~ts on a per square foot basis cf two prime office buildings
in Palo Alt~, one constructed prior to 1978 that ~as ~~t undergone c~ange ~f
ownersh19 and one constructed in 1983.
Table WI
Assessed ,.lue of Selected Office BuIldings
(Average Yalue per Square foot of Floor Area)
Site
52, University Ave.
400 Hamilton Ave.
Assessed
¥alue
S 9,245,943
S2Q,383,924
Average lalue
floor Area Per Square foot
_~~_~.:r-_~ ___ Fe!_t ___ Gf n~" Ar~ __
201,279
97,740
S 45.94
S20e.S5
Newer buildings ~an easily generate 400 percent more f~ property ta~ revenue
on a square footage basis than older buildings. As I result, if proposed
projects are e~aluated il the isolited context of their potent ill property tax
revenues. the new praject will usua11y demonstrate substant1ally .f9~er
propertl tax revenue potentiil. The exception, of ~ourse, is ~here propertJ
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has rei:E'ntl, dla~ged title and .• presumahly. appreciited up to liMll lIlarket
nlues.
It shotll(j be noted t~at the noncomplying facilitJ pro'rlision appro lied by the
Cou~il i. the 19a9 Citywide Study a'lo~s ~uildio9S exceeding existing site
development regulations, e.g.~ t~e floor area ratio, t~ redevelop up to tne
building~s present size. ]n situations where such buildings ~ave been
completel1 rede~eloped and there ~as been a c~ange of use, reassess~nt will
occur.
Tr a n s i _~n J _~_t:: __ lJ_p_anc.t_r.~_~
The transient occupancy tiX is applied to all transient occupancies fn tne
titJ~5 hotels, motels and bed and brea~fist 1nns for indi~id~a1 O~ familJ
occupancies of up to 30 days in duration. The City's ta~ rite \s JO perc~nt
of the per diem occupanC1 rate. The Cfty collected over Sl.9 millioo f~
transient occupancy tax re~enues during 89-90. These revenues accounted for
)lmo~t ~ percent ~f the C,ty's general fund revenues. Whi1e the transient
occupancy tax is not one nf the largEst re¥enue generaters for the City.
hotels are major rewenue generators relatfve tG theiT number and size ift Palo
Alto; and. unlike tne effects of mani commercial, office and industrial wses,
hotel fu~ticns usual1s are not major centribut~rs to peak period traffic
congestion. I~ te~s af specific revenue generation. two of Palo Alto~s first
class botels i~ F1 1989-90 gener~ted over 52,000 per roorn lA transient
occupancy tax rewenues. CollectfveTy, t~ey contributed over $].700 l 000 fa
tAls period to the tityTs occupancy tax re~enues.
IN additicnl Yirt~all1 all ffrst~class hotel facilities ~ave ancillary eating
and drinkin~ establi~hments and~ on occasion, retail outlets. As a res~lt,
they can also ~ontrlbute sales tax revenues to t~ls (it,. Since hotels are
~ajor reve~ue generators, special floor area Titio iocent,~es were approved in
t~e Citywide Study for two sites, iickei's Hyatt and Dinah~s ~otor todge, in
order to enco~rage their retentton and possible upgra1in9~
'ariable factors affecting transient occupancy tax revenues are the relative
<ompetitfon of hotels withiD a ~arket area tr.at extends beyond municfpal
boundaries and local ind national business tides. Such blJs.iness <icles tan
affect bot~ ~iscretionary tourist occupancies as well as business occupancies.
ResotJr,-es fQ_r Revenue Impatt _____ ~_~_~_ly~ __ t~_
E~peris who forecast pote~tia.l revenues for new or expanded de~elopment
traditionall, are land use ind deve10pment econ~rnists. Currentl~ the City
does not ha~e tAls expertise witbin the organfzation. Several options are
aYiilab1e (or obtalling such information if the (ouneil believes it would be
valaable ;~ the fwture prDject review process. The {ity can h1re staff ~t~
s~h expertise; it can contract wit~ firms wit~ such expe~tise to prepare
estimated rewenue forecasts; or it can require applicants to submit suc~
re~enue for~casts when prQj~ct proposals are submitted for re~iew and
approval. In the latter situation, the City (ould select the cons~Ttant and
have the services paid for b~ tne applicant. [stimated cons~ltant costs per
project stirt it $5.000 -and vary roo~e ~ith the complexity of a ~roject t~an
wiUl its sc.a1e.
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Options for Considering Rey~_~_~acts
T~is report ~as identified (it1 revenues that could be aff~eted ~1 Plannfng
deefsfons. partfc~lar71 at the project review level~ The f~11ow;n9 paraqraphs
discuss several options available t~ the Cit, f. detenli~fn9 where such
revenue impacts s~ould be considered i. future Planning decfsions~
At t~e out~t. projects consistent Wit~ current ~olfcies and F€gulations, and
thus Dot requiriDg I lone c~ange~ do not appear s~itable for revenue impact
analysis. On t~e ot~er hand~ major projects requiring Comprehe~sfve Plan
~ndments and/or zone changes* would ippear to be s~ltabTe tandidates for
revenue impact analysis. I~ addition. it s~e~s equitable t~at 5UC~ costs for
revenue i~pact analysls bf borne by t~e applicant, 9ive~ t~e usual sCile of
.uc~ pr.ject. and the pot.ntiol gal' to be rf.li,ed b1 the applicant.
Nonetheless, requiring a comprehensi~e ff~al impact analysis of suc~
projects t whic. would include a forecast Df public costs is well as a forecast
of potenth,l revenues. to the (it1, 111 most situations )o;o1Jld not appear
necessary. Pale Alto is i de~eloped communit1 t~at ~a$ the necessary
i~frastructbre and a fill level of public services. Therefore J most public
<Qsts added by Dew development would be incremental and relativelJ small~
Another candidate for re~enue impatt analysiS would be specfal area studies
that afe ewalaating ~ajor c~anges i~ land use and development policies. The
i.tent Qf suc~ inalYiis would be to obtaf. a prQjettion of possi~le revenues
t~ the tit" assum1~9 the market place would respond positYel, t~ the land use
c~anges under consideration.
A mo~e aggressfve opt'OQ il deter.i.ing re~enue impacts, and one that is
mut.all, exclwsive from the options aiscussed above. would be to consider t~e
recr~itment of limited prifeisfonal services to IJ identif1 potentfal revenue
opportunities. i. the Ctf, withi~ the context Df existing CitJ Jand ~se
,lannfng policies and regulations, and 2J determine what actions ~ould be
necessa~y i~ order to ~ax;mile these re~~nue opportunities.
Conclusions DO Revenue Impact An.!-.hsis _Qptt9!1~
tcnsl~erition of City revenue impacts is i 1egitimate ?~rt cf the 'lanning
land ~se and project approval process, partfc~'arl, ~~~re prDjects Dr area
$tudi~s require or are like1, to result in Cnmprehensive Plan and Zone ~ap
cnanges. ~owever, IS! ~f revenue forecasts should be considered ia the
context ~f ill City land ~~ planning policies and regulitions r.ther than
~aving decisions focus principall, on p~tent;al revenues. Jf the Council
~shes ta proceed 11 considering reven~e impacts il the aforeme~tioned are.s l
considEritfon also ~ll ha~e to be giveQ il determiBiog sources fo~ fi~a~cing
sue' .n.l)sls. As stated e~rlier. staff belie~es it is .pprO?rilt~ and
equitable te require applf,ants ~f projects requiring major discretionary
approvals to assume the costs for s~c~ revenue impact analysis. On the mth~r
~and, if the (;t, wishes t~ consider revenue impacts fl future special area
studies, it wl\l bave to commit the ~ecessar~ resources for suc\ analysls~
If in evalaation of potentia' revenue opportunities is p~rsued, one area that
c(luld benefit froll Sl.Iclri prgfessiol'iil expertisa would' be an assessment elf the
~ece~tl1 approved botel overlay lone il the Cit)'s zoning regulations. Suc\
an assessment could determine ~~ether the current loniDg pro~isions are indeed
apprnpriite incentives, and determine whether other nonreSidential sites would
be .,it.ble for it. application.
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Based Oft the precedi~g dlscwssiQn~ staff recamm~nds t~al the f,~ance and
Publfc Works Committee recommend the fo11o~;ng options regarding revenue
impact a~a'Jsfs be approved by the (ity Council:
1. That t~e Cit, require revenue impact analys's prepaTation fDr ~ajor
development proposals requiring Comprehensive PTan and lone ~ap
c~anges and that the applicant assume preparatfoo CQsts. and
2~ T~at the Cit1 allocate ~ecessary resources for revenue impact
anaiysis preparation on f~ture spec1al area studies that have
potential for sfgnificantlJ affecting Cit,. revenues.
further, that the finance and Public Woris Committee reQ~est that stiff return
t. the Committee .Itk I drlrt ~equ.st For Proposal (RFP} and estimated budget
for obtifn;ng Ji~ited professional services tc:
1. Identtf, potential revenue opportunities iR tne (it, wit~i. t~e
context of existing titJ plannlng policies and r~ul1tio"s, and
2. Determine what act inns would be ~e,essary 1m order t~ maximize thnse
revenue opportunlties.
Respectr.ll, ,u~itt.d.
~c tfORGf ll~~ ~t;lr.al-/: .Jd;//k-
KENNETH R. SCHREIBER ----~
Director ~f Planning and Assistant Flann; _~ Official
~, . ,
I ;;:z
cc: anning Commission
~ltecturil Review Board
C amber of Commerce
Communltl Envtronment
Stanforl Oo;Yer,ltl (Su S~'ff.r. And] Dotl. Pbil Williams)
Barron Park .Asso<:htio~1
Chestnut-Vl1ton Homeowners AS50ciition
(.ClIl1 ege Terrace Nef g'hborbood AHOC; at; all
Greenacres Improvement A5s~iati~n
Ho~~er Plrk Neighborhood Association
r~terdale Way Ho.eowners AS$O<lation
Leland Manor AssO(iation
~idto.n lIe,t
Old Trace Neighbor~ood
Pill ~lto ~;lls Romeowners Assocfation
Committee for GreeR foothills
Jentora .Nefghf:lorbood Association~ David Jecng
renturi R!ignborbood Associitio~~ Penn1 Petrosian
Yalnut Gro~e Homeowners Associatio~
W~bster Court Homeown~rs A5soc;itTO~
tr,irrleston Meadows fieighborhood ASSOCiation. Jane Barrett
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CharlestDn ~adows Nefghbor~ood Association$ Jean Almsted
Downtown North Kefghborhood Assoclition
Eyergree~ Park Neighborhood Association
Greea ~adow Commun1t, Assocfation
'rriter ~jranda C~n;t~ A$soclation
Southgate Nelshborbood
Stin(or~ ~fd-PeAfAsdla Urban Coalition
Vest Bayshore Resfdents Association
Greena<:res II
Jordon/Garland Refghborhood
Mont. lorna Neighborhood Assoc1ation
Southgate Neighborhood
Univers;tl Park Association
Universit, and Crescent Par~ ~ssocfition
,,1. Alta Housing Corparition
Steve 'hyer
David JlJry
James Saer
keenan land Company
CMR:493:0
lmAnalys/gldst
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'J£/90 -,-
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