mid-year real estate review · 1. uhero (may 2014)*: “incremental [tourism] gains for 2014 will...
TRANSCRIPT
Copyright 2014Copyright 2014Paul H. Brewbaker, Ph.D.Paul H. Brewbaker, Ph.D.
Oahu housing: extending economic expansion?Oahu housing: extending economic expansion?
slides prepared for a presentation to theslides prepared for a presentation to the
Distinctive Homes Hawaii, Honolulu Distinctive Homes Hawaii, Honolulu HomeLoansHomeLoans,,Old Republic Title & Escrow of HawaiiOld Republic Title & Escrow of Hawaii
MidMid--Year Real Estate ReviewYear Real Estate ReviewWaialaeWaialae Country ClubCountry Clubbyby Paul H. Brewbaker, Ph.D.Paul H. Brewbaker, Ph.D.TZ Economics, Kailua, HawaiiTZ Economics, Kailua, HawaiiJuly 31, 2014July 31, 2014
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1. Near-term: extending the current economic expansionThe recession ended in June 2009, the expansion now is five years oldAverage expansion duration, post-1982: eight years (longest: ten (1990s))
2. Hawaii still growing, but several sectors experienced “sudden stop” in 2013
3. Long-term: relieving capacity constraintsPopulation growth slowed, but homebuilding still inadequateTourism footprint hasn’t changed in two decades
4. Challenge: will investors bet on Hawaii’s future if tourism is capacity-constrainedand federal government is shrinking?
Framing the outlook: if the economy is growing, Framing the outlook: if the economy is growing, then why haventhen why haven’’t General Fund Revenues? t General Fund Revenues?
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in months Mean Median Max Mean Median Max
1857-1928 25.5 22 46 20.5 18 65 *1929-1982 46.2 39 106 ** 13.8 11 43 †
1983-2010 95.0 92 120 ● 11.3 8 18 ∆
*The Panic (Oct. 1873 - Mar. 1879)†The Great Depression (Aug. 1929 - Mar. 1933)**Camelot (Feb. 1961 - Dec. 1969)●dot.com (Mar. 1991 - Mar. 2001)∆The Great Recession (Dec. 2007 - Jun. 2009)
Expansions Contractions
Duration of economic expansions and contractionsfrom NBER troughs to peaks and back again
U.S. economic cycles: five years of expansion, U.S. economic cycles: five years of expansion, past the halfway point?past the halfway point?
Source: National Bureau of Economic Research (http://www.nber.org/cycles.html)
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-8
-4
0
4
8
2002 2004 2006 2008 2010 2012 2014
U.S. real GDP growth through midU.S. real GDP growth through mid--20142014
2.1% p.a. since mid-2009
Per
cent
Sources: BEA (http://bea.gov/national/index.htm#gdp)
U.S. recession shaded
Polar Vortex
SandyTohoku
Preliminary data released July 30)
44
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44
48
52
56
60
64
68
72
2000 2005 2010 2015 2020
Hawaii quarterly real personal incomeHawaii quarterly real personal income——short of the short of the 22--3% growth rates forecast by DBEDT, UHERO3% growth rates forecast by DBEDT, UHERO
@1.25%
@3.2.%
Billion 2013$ (s.a., logs) Percent change, y-o-y
U.S. recession shaded U.S. recession shaded
Real growth
Real income
Annualized real growth rates are based on trend regressions 1998:1-2005:1 and 2010.3-2014.1
-4
-2
0
2
4
6
8
2000 2005 2010 2015
Source: BEA, BLS; deflation and seasonal adjustment by TZ Economics; for forecasts see Hawaii DBEDT (May 8, 2014) and UHERO (May 23, 2014) (http://dbedt.hawaii.gov/economic/qser/outlook-economy/ and http://www.uhero.hawaii.edu/assets/14Q2CountyForecast-PublicSummary.pdf)
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Employment trends to characterize the expansionEmployment trends to characterize the expansion
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0
2
4
6
8
10
02 04 06 08 10 12 14
Hawaii unemployment rates starting to settle?Hawaii unemployment rates starting to settle?
OahuMon
thly
, per
cent
, s.a
.
U.S. recession shaded
Neighbor Islands
Source: Data through June 2014(P) from Hawaii DLIR, DBEDT; seasonal adjustment by TZ Economics
4.0 %
5.1 %No Aloha
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380
400
420
440
460
480
130
140
150
160
170
180
2002 2004 2006 2008 2010 2012 2014
Oahu(left scale)
Thou
sand
jobs
(log
sca
le)
Oahu and Neighbor Isle nonOahu and Neighbor Isle non--agricultural job counts: agricultural job counts: parallel recovery, somewhat asynchronousparallel recovery, somewhat asynchronous
U.S. recession shaded
Neighbor Islands(right scale)
Thousand jobs (log scale)
Source: Hawaii DLIR, DBEDT; seasonal adjustment, trend extractions using Hodrick-Prescott filter by TZ Economics
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380
400
420
440
460
480
130
140
150
160
170
180
2002 2004 2006 2008 2010 2012 2014
Oahu(left scale)
Thou
sand
jobs
(log
sca
le)
Trend components of nonTrend components of non--agricultural job counts: agricultural job counts: Oahu was leading, is it decelerating?Oahu was leading, is it decelerating?
U.S. recession shaded
Neighbor Islands(right scale)
Thousand jobs (log scale)
Source: Hawaii DLIR, DBEDT; seasonal adjustment, trend extractions using Hodrick-Prescott filter by TZ Economics
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540
560
580
600
620
640
02 03 04 05 06 07 08 09 10 11 12 13 14 15
Thou
sand
jobs
(log
sca
le)
NonNon--agricultural payroll employment in Hawaii:agricultural payroll employment in Hawaii:statewide statewide decelerationdeceleration of job growth since 2012of job growth since 2012
U.S. recession shaded
Source: Hawaii DLIR, DBEDT; seasonal adjustment, trend extractions using Hodrick-Prescott filter by TZ Economics
SARS
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Normalized employment trends: U.S. has grown Normalized employment trends: U.S. has grown faster, farther from a deeper trough; Hawaii boggedfaster, farther from a deeper trough; Hawaii bogged
-2
-1
0
1
2
-2
-1
0
1
2
2004 2006 2008 2010 2012 2014
U.S.Hawaii
Scales are standard deviations from means for the period June 2003 (i.e. post-SARS) through June 2014, for seasonally-adjusted payroll employment
Source: Hawaii DLIR, DBEDT; seasonal adjustment, trend extractions using Hodrick-Prescott filter by TZ Economics
U.S. recession shaded
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Recap macro conditionsRecap macro conditions
Economy passed 5th anniversary of official end of U.S. recession in June
Hawaii economic growth has proceeded slowly, 1-2% since 2009 (2-3% 2000s)
Job growth has slowed recently, falling behind pace of mainland
Economic growth forecasts predicated on housing-led second-half of expansion1. UHERO (May 2014)*: “Incremental [tourism] gains for 2014 will be slight. Beyond this year,
available capacity will limit further visitor industry growth.”2. DBEDT (May 2014)‡: “Visitor expenditures are expected to increase 4.6 percent in 2016
and 4.5 percent in 2017.”3. UHERO (May 2014)*: “The construction expansion has proceeded further on Oahu..., but it
is also poised to contribute growth momentum to all counties going forward.”4. DBEDT (June 2014)†: “Change the mindset from controlling growth to generating growth.”
*UHERO (May 23, 2014) (http://www.uhero.hawaii.edu/assets/14Q2CountyForecast-PublicSummary.pdf)‡Hawaii DBEDT (May 8, 2014) (http://dbedt.hawaii.gov/economic/qser/outlook-economy/) †Richard Lim, Director Hawaii DBEDT (June 20, 2014) “Hawaii’s Economic Future,” presentation to The Counselors of Real Estate
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Last yearLast year’’s avg. singles avg. single--family sales volumes, pricesfamily sales volumes, prices
0
1
2
3
4
5
260 280 300 320
June 2013 - June 2014Observations 13 months
Mean sales 280.782Median 277.1351Maximum 313.2524Minimum 258.0491Std. Dev. 18.10645Skewness 0.731100Kurtosis 2.386102
0
1
2
3
4
5
640 660 680
June 2013 - June 2014Observations 13 months
Mean price $665.843Median 666.6329Maximum 685.7504Minimum 640.6926Std. Dev. 15.28883Skewness -0.311829Kurtosis 1.748943
Monthly volumes Prices (thousand $)
No. of months
No. of months
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Trends in Oahu existing home sales volumesTrends in Oahu existing home sales volumes
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Oahu existing singleOahu existing single--family home sales volumes family home sales volumes
100
200
400
1990 1995 2000 2005 2010 2015
Seasonally-adjusted
Mon
thly
clo
sing
s, s
.a. (
log
scal
e)
U.S. recessions shaded
Source: Honolulu Board of Realtors; seasonal adjustment by TZ Economics
Not seasonally-adjusted
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Oahu existing singleOahu existing single--family home sales volumesfamily home sales volumes
100
200
400
1990 1995 2000 2005 2010 2015
Trend component
Mon
thly
clo
sing
s, s
.a. (
log
scal
e)
U.S. recessions shaded
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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SingleSingle--family sales recovery has come in 2 stagesfamily sales recovery has come in 2 stages——seasonallyseasonally--adjusted sales flat since last summeradjusted sales flat since last summer
150
200
250
300
350
400
2006 2008 2010 2012 2014
c.280 / month
Mon
thly
clo
sing
s, s
.a. (
log
scal
e)
U.S. recessions shaded
Lehman Brothers
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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Oahu existing residential condominium sales:Oahu existing residential condominium sales:monthly trading volume around 400; prices to $370kmonthly trading volume around 400; prices to $370k
100
200
400
800
1990 1995 2000 2005 2010 2015
± 400 / month
Mon
thly
clo
sing
s, s
.a. (
log
scal
e)
U.S. recessions shaded
Source: Honolulu Board of Realtors; seasonal adjustment TZ Economics
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Trends in Oahu existing home sales pricesTrends in Oahu existing home sales prices
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1919
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100
200
400
800
1995 2000 2005 2010 2015
Oahu monthly existing home sales prices:Oahu monthly existing home sales prices:this is not the 90s; this is not the housing bubblethis is not the 90s; this is not the housing bubble
Thou
sand
$, s
.a. (
log
scal
e)
Sources: data through June 2014 from Honolulu board of Realtors; seasonal adjustment by TZ Economics
SingleSingle--familyfamily
CondominiumCondominium
U.S. recessions shaded
2020
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Oahu existing singleOahu existing single--family home prices family home prices ratcheting upward slowlyratcheting upward slowly
200
400
800
00 02 04 06 08 10 12 14
Thou
sand
$, s
.a. (
log
scal
e)
U.S. recessions shaded
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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When $700k isnWhen $700k isn’’t quite $700k: seasonallyt quite $700k: seasonally--adjustedadjustedOahu singleOahu single--family home prices breaking out?family home prices breaking out?
520
560
600
640
680
720
06 07 08 09 10 11 12 13 14 15
Thou
sand
$, s
.a. (
log
scal
e)
U.S. recession shaded
Lehman Brothers
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
2222
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600
620
640
660
680
700
13:3 13:4 14:1 14:2600
620
640
660
680
700
12:1 12:2 12:3 12:4 13:1
YR:QTR YR:QTR
Two distinct levels for Oahu singleTwo distinct levels for Oahu single--family home family home prices over the last two years (thousand $, prices over the last two years (thousand $, s.as.a.).)
Two years agoTwo years ago
The last yearThe last year
June 2014$685,750
Source: Honolulu Board of Realtors; seasonal adjustment by TZ Economics
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600
620
640
660
680
700
13:3 13:4 14:1 14:2600
620
640
660
680
700
12:1 12:2 12:3 12:4 13:1
YR:QTR YR:QTR
Two distinct levels for Oahu singleTwo distinct levels for Oahu single--family home family home prices over the last two years (thousand $, prices over the last two years (thousand $, s.as.a.).)
June 2014$685,750
Two years agoTwo years ago
The last yearThe last year
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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Quarterly existing singleQuarterly existing single--family home sales prices:family home sales prices:Oahu being outpaced by California reboundOahu being outpaced by California rebound
50
100
200
400
800
1980 1985 1990 1995 2000 2005 2010 2015
OahuSan Francisco, Oakland, FremontAnaheim, Santa Ana, Irvine
Sources: National Association of Realtors, Prudential Locations, UHERO, Honolulu Board of Realtors; seasonal adjustment by TZE
U.S. recessions shaded
Thou
sand
dol
lars
, s.a
. (lo
g sc
ale)
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100
200
400
00 02 04 06 08 10 12 14
Oahu existing residential condominium prices Oahu existing residential condominium prices exhibiting smoother appreciationexhibiting smoother appreciation
Thou
sand
$, s
.a. (
log
scal
e)
U.S. recessions shaded
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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260
280
300
320
340
360
380
06 07 08 09 10 11 12 13 14
Oahu condo prices pushing harder upward in the Oahu condo prices pushing harder upward in the last 12 months (small pause in June) last 12 months (small pause in June)
Thou
sand
$, s
.a. (
log
scal
e)
U.S. recession shaded
Lehman Brothers
Source: Honolulu Board of Realtors; seasonal adjustment, trend extraction using Hodrick-Prescott filter by TZ Economics
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Trends in Oahu existing home sales inventoriesTrends in Oahu existing home sales inventories
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0
2
4
6
8
10
12
14
00 02 04 06 08 10 12 14
Single-familyCondominium
Oahu months of inventory remainingOahu months of inventory remaining(inventory/sales ratio)(inventory/sales ratio)
Mon
ths
rem
aini
ng, s
.a.
Source: Data through June 2014 from Honolulu Board of Realtors; seasonal adjustment by TZE
U.S. recessions shaded
Lehman Brothers
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Historical relationship (1994Historical relationship (1994--2014): 10% appreciation 2014): 10% appreciation with the current 3 months of inventory remainingwith the current 3 months of inventory remaining
Source: Data through June 2014 from Honolulu Board of Realtors; regressions on seasonally-adjusted data by TZE
Single-family Condominium
-20
-10
0
10
20
30
40
0 4 8 12 16 20 24
Monthsof inventory remaining
Pric
eap
prec
iatio
n(%
)
-20
-10
0
10
20
30
40
0 4 8 12 16 20 24
Monthsof inventory remaining
Pric
eap
prec
iatio
n(%
)
3030
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-10
-5
0
5
10
15
20
0 2 4 6 8 10
Monthsof inventory remaining
Pric
ea p
prec
iatio
n(%
)-10
-5
0
5
10
15
20
0 2 4 6 8 10
Monthsof inventory remaining
Pric
ea p
prec
iatio
n(%
)Data since 2010: lower than predicted appreciationData since 2010: lower than predicted appreciation——at 3 monthsat 3 months’’ inventory, appreciation inventory, appreciation ““below the linebelow the line””
Single-family Condominium
Source: Data through June 2014 from Honolulu Board of Realtors; regressions on seasonally-adjusted data by TZE
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Recap Oahu housing market conditionsRecap Oahu housing market conditions
Ratcheting upward, existing homes have settled into steady sales pace
Approximately 280 single-family, 400 unit condominium monthly sales
Condo prices have enjoyed more recent breakout than single-family prices
Listings, absorption balanced; slower appreciation than in past with 3 months inventory remaining
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Mysteries of monetary policy and interest ratesMysteries of monetary policy and interest rates
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QE1QE1Le Havre (1952)Le Havre (1952)
QE2QE2Honolulu (1992)Honolulu (1992)
QE3QE3Honolulu (2014)Honolulu (2014)
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Federal Reserve securities holdings, monthly changesFederal Reserve securities holdings, monthly changes
-100
-50
0
50
100
150
200
250
2008 2009 2010 2011 2012 2013 2014 2015 2016
Treasury notes, bonds, TIPSMortgage-backed securitiesFederal agency debt
Billio
n do
llars
per
mon
th
Source: Federal Reserve Board (H.4.1 Factors Affecting Reserve Balances of Depository Institutions); average monthly changes in U.S. Treasury notes and bonds (including TIPS), federal agency debt securities, and mortgage-backed securities (http://www.federalreserve.gov/releases/h41/)
Actual Projected
QE1QE1
QE2QE2 QE3QE3
Operation Twist
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0
1
2
3
4
Aug-07 Aug-08 Aug-09 Aug-10 Aug-11 Aug-12 Aug-13 Aug-14
Deposits at the FedU.S. Treasury balanceCurrency in circulation
0
1
2
3
4
Aug-07 Aug-08 Aug-09 Aug-10 Aug-11 Aug-12 Aug-13 Aug-14
SecuritiesOther assetsMaiden LaneTALFTerm AuctionCP fundingCurrency swaps
Federal Reserve balance sheetFederal Reserve balance sheet
Assets Liabilities
Source: Federal Reserve Board (http://www.federalreserve.gov/monetarypolicy/bst_recenttrends.htm)
LehmanBrothers
Trillion U.S. dollars
LehmanBrothers
QE1QE1
QE2QE2QE3QE3
QE1QE1
QE2QE2QE3QE3
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““Printing money?Printing money?”” Link from bank reserves to money Link from bank reserves to money stockstock——the multiplierthe multiplier——now now halfhalf its starting valueits starting value
Initially (post-Lehman; September 2008) the Fed’s response—quantitative easing—to an autonomous increase in liquidity demand reflected collapse of interbank funding and flight from risky asset classes; the Fed’s response supplied financial markets’ increasing “liquidity preference” U.S. recession
shaded
Collapse of Lehman Brothers
Source for graph: Federal Reserve Bank of St. Louis (http://research.stlouisfed.org/fred2/series/MULT)
cer
cm++
+=
1 money multiplier
=c currency/deposit ratio =e excess reserves/deposit ratio =r required reserves/deposit ratio
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0 5 10 150 5 10 150 5 10 150 5 10 15
FOMC forecasts for the fed funds target rate and FOMC forecasts for the fed funds target rate and weighted averages: June 18, 2014weighted averages: June 18, 2014
2014 2015 Longer-run
Perc
ent
Number of observations (FOMC participants, total = 16)
0.30%
2.53%
3.78%
2016
1.20%
5
4
3
2
1
0
Source: Figure 2. Overview of FOMC participants’ assessments of appropriate monetary policy released with June 18, 2014 projections (http://www.federalreserve.gov/monetarypolicy/files/fomcprojtabl20140618.pdf)
4040
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0
1
2
3
4
5
6
07 08 09 10 11 12 13 14 15 16 17 18
U.S. Treasury yields: interest rate normalizationU.S. Treasury yields: interest rate normalization
QE1 QE2 QE3
Lehman Brothers
Operation Twist
Recession NormalizationNormalization
AnticipationAnticipation
30 yr20
10
7
5
3
2
Per
cent
June 2014 June 2014 FOMC fed funds rate FOMC fed funds rate
target average forecasttarget average forecast
Source: Federal Reserve Board (H.15) and Chairman’s FOMC Press Conference Projections Materials, June 18, 2014 (http://www.federalreserve.gov/monetarypolicy/files/fomcprojtabl20140618.pdf)
3.78%
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Approaching Fed monetary policy normalization:Approaching Fed monetary policy normalization:the yield curve is rotatingthe yield curve is rotating——flatteningflattening
Yields on U.S. Treasury Securities (adjusted to constant maturities)
July 2013
Source: Federal Reserve Board (http://www.federalreserve.gov/releases/h15/)
Per
cent
July 2012
0
1
2
3
4
5
FF1-y
r2-y
r3-y
r5-y
r7-y
r
10-yr
20-yr
30-yr
Jul 06
Jul 12
Jul 07
Jul 08
Jul 09 Jul 10 Jul 11
July 2014
Jul 13
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Implied longImplied long--run inflation expectations wellrun inflation expectations well--anchored,* anchored,* but keep your eyes on the 5but keep your eyes on the 5--year breakyear break--even rateeven rate
Source: Federal Reserve Board (http://www.federalreserve.gov/releases/h15/), calculations by TZE
Per
cent
*Expected inflation or the “break-even”inflation rate is calculated as the difference between constant-maturity U.S. Treasury yields and corresponding TIPS yields
2% FOMC goal
Post-Lehman Brothers
-2
-1
0
1
2
3
FF1-y
r2-y
r3-y
r5-y
r7-y
r
10-yr
20-yr
30-yr
July 2014
Nov 2008
Feb 2009
Jul 2006-2013
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How can the economy grow and taxes not grow?How can the economy grow and taxes not grow?A mystery for the gubernatorial candidatesA mystery for the gubernatorial candidates
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200
300
400
500
600
02 04 06 08 10 12 14
Mon
thly
, milli
on 2
013$
, s.a
. (lo
g sc
ale)
Sudden stop: Hawaii real General Fund tax revenueSudden stop: Hawaii real General Fund tax revenue
Real revenues stopped rising at the end of 2012
U.S. recession shaded
Source: Raw monthly data through May 2014 from Hawaii DoTAX; deflation using U.S. personal consumption expenditure deflator, seasonal adjustment using Census X-12 ARIMA filter, and trend extraction using Hodrick-Prescott filter through November 2012 by TZE
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2.4
2.6
2.8
3.0
3.2
28
29
30
31
32
2004 2006 2008 2010 2012 2014
000 s.a. 3.4 33 000 s.a.
Hawaii civilian federal payroll employment droppedHawaii civilian federal payroll employment dropped
FY2013
−−5.75.7%%Percent change in seasonally-adjusted Hawaii federal civilian monthly payroll employment, October 2012 – February 2014 (also: no earmarks, and no Inouye)
U.S. recession shaded
Source: Hawaii DLIR, Hawaii DBEDT; monthly averages through May 2014, seasonal adjustment by TZE
Decennial census
Oahu(right scale)
Neighbor Isles(left scale)
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300
400
500
600
700
800
900
04 05 06 07 08 09 10 11 12 13 14
Statewide real Hawaii Statewide real Hawaii contracting receipts contracting receipts decliningdeclining
Milli
on 2
013$
, s.a
. (lo
g sc
ale)
Sources: Hawaii Department of Taxation, Hawaii DBEDT, U.S. Bureau of the Census; seasonal adjustment, deflation using construction cost deflator and trend extraction by TZE, tax base data through February 2014, building permit data (inset) through April 2014
U.S. recession shaded
This surge (no pun intended) partly was just a transitory impulse of photovoltaic panel installation—that was never really construction anyway, it was equipmentinvestment, not capital formation in new structures: panels are not buildings.
0
50
100
150
2012 2013 2014
Photovoltaic
Other**
Oahu PV permits ($mil)
*Additions and alterations
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450
500
550
600
650
700
750
04 06 08 10 12 14
Recent revisions donRecent revisions don’’t change sideways movement t change sideways movement of recent tourism aggregates (all of recent tourism aggregates (all s.as.a., log scales)., log scales)
Visitor expenditure(billion 2013$)
Visitor days(million)
Visitor arrivals(thousand)
4.0
4.5
5.0
5.5
6.0
6.5
7.0
04 06 08 10 12 140.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
04 06 08 10 12 14
H1N1-A
Tohoku
TohokuTohoku
H1N1-A H1N1-A
Source: Hawaii Tourism Authority, Hawaii DBEDT, includes 2013-2014(Apr) revisions; seasonal adjustment and deflation by TZ Economics
U.S. recession shaded U.S. recession shaded U.S. recession shaded
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Oahu has no more lodging than 25 years agoOahu has no more lodging than 25 years ago——capacity capacity is constrainedis constrained——so, real room rates at allso, real room rates at all--time highstime highs
0
5
10
15
20
25
30
35
40
45
70 80 90 00 1060
65
70
75
80
85
90
2005 2010 2015
120
140
160
180
200
220
2005 2010 2015
Oahu visitor plant inventory
(including vacation rentals)
Thousand rooms Percent, s.a. 2013$, s.a.
Oahu hotel occupancy Oahu real average daily room rates
Source: HTA, Hawaii DBEDT, Hospitality Advisors LLC, BLS; seasonal adjustment using Census X-12 ARIMA filter and deflation by TZE
Recession shaded Recession shaded
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190
200
210
220
230
240
250
260
270
280
2005 2010 201555
60
65
70
75
80
2005 2010 2015
Neighbor Isle lodging has compressedNeighbor Isle lodging has compressed——capacity is capacity is constrainedconstrained——again, real room rates near highsagain, real room rates near highs
Neighbor Isle visitor plant inventory
(including vacation rentals)
Thousand rooms Percent, s.a. 2013$, s.a.
Neighbor Isle hotel occupancy
Neighbor Isle real average daily room rates
Source: HTA, Hawaii DBEDT, Hospitality Advisors LLC, BLS; seasonal adjustment using Census X-12 ARIMA filter and deflation by TZE
Recession shaded Recession shaded0
5
10
15
20
25
30
35
40
45
1975 2000
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NearNear--term economic recapterm economic recap
DBEDT, UHERO forecasts for 2-3 percent real economic growth at odds with recent outcomes: no real state general fund revenue growth since 2012
In 2013 Hawaii hit the Trifecta:1. Federal government down (civilian and defense are 15% of Hawaii GDP)2. Construction spending falling (mostly PV equipment, not buildings)3. Tourism no growth (another 15% of Hawaii GDP)
Hawaii tourism supply-constrained, homebuilding suppressed, for 20+ years
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LongerLonger--run population and housing trendsrun population and housing trends
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Is Hawaii population going to grow or are we done?Is Hawaii population going to grow or are we done?
10,000
100,000
1,000,000
1850 1900 1950 2000
976,370 (Oahu)
415,940 (N. Isles)
1,404,054 Statewide983,429 Oahu190,821 Big Island160,292 Maui69,512 Kauai
Population by County*
*July 1, 2013
Sources: Robert C. Schmitt, Historical Statistics of Hawaii (1976), University of Hawaii Press; Bureau of the Census, U.S. Department of Commerce; Hawaii DBEDT (http://files.hawaii.gov/dbedt/census/popestimate/2013_county_char_hi_file/2013_popest_sumtab.xls)
Per
sons
, log
sca
le
Oahu
Neighbor Islands
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100 200100 200
Hawaii population by age cohortHawaii population by age cohort
HawaiiHawaii’’s legacy of declining fertility + aging:s legacy of declining fertility + aging:more even distribution of population across cohortsmore even distribution of population across cohorts
Sources: Hawaii DBEDT, U.S. Bureau of the Census (decennial enumerations compiled by TZ Economics)
Thousands
0-1515-2425-3435-4445-5455-6465+
100 200 100 200 100 200 100 200 100 200 100 200 100 200 100 200 100 200
1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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40 20 0 20 40Under 5
5 to 910 to 1415 to 1920 to 2425 to 2930 to 3435 to 3940 to 4445 to 4950 to 5455 to 5960 to 6465 to 6970 to 7475 to 7980 to 84
85 +
Oahu population by 5Oahu population by 5--year age cohort, 2012 year age cohort, 2012 →→ 2030:2030:substantial expansion of elderly sharesubstantial expansion of elderly share
Thousands by 5-year cohort
FemaleFemale MaleMale
Sources: Hawaii DBEDT (http://hawaii.gov/dbedt/info/census/population-estimate); graphic by TZE
40 20 0 20 40Under 5
5 to 910 to 1415 to 1920 to 2425 to 2930 to 3435 to 3940 to 4445 to 4950 to 5455 to 5960 to 6465 to 6970 to 7475 to 7980 to 84
85 +
Thousands by 5-year cohort
2012 2030
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Hawaii actual and projected population growth rates Hawaii actual and projected population growth rates by age group from 2010 through 2025by age group from 2010 through 2025
Source: Hawaii DBEDT compilation from U.S. Census Bureau, Population Division, "Annual Estimates of the Resident Population by Single Year of Age and Sex Population for the United States, States, and Puerto Rico Commonwealth: April 1, 2010 to July 1, 2013 - Hawaii" (PEPSYASEX) (June 26, 2014) (http://www.census.gov/popest/data/datasets.html), Hawaii DBEDT (March 2012) Population and Economic Projections for the State of Hawaii to 2040: DBEDT 2040 Series (http://files.hawaii.gov/dbedt/economic/data_reports/2040-long-range-forecast/2040-long-range-forecast.pdf)
(Growth rates in percent or as noted) Under 60 60+ Multiple
2010-2013 (actual) 0.4% 3.1 7.2x
2015-2025 (projected) 0.3 2.5 8.3x
2010-2025 (projected) 0.2 2.8 13.6x
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Oahu population growth rate in recent decades Oahu population growth rate in recent decades outstripped net new housing formationoutstripped net new housing formation
Source: U.S. Bureau of the Census, Hawaii DBEDT (various), Robert C. Schmitt Historical Statistics of Hawaii (1976) UH Press
-2.0
0.0
2.0
4.0
6.0
8.0
1930s 1950s 1970s 1990s 20-teens
Housing stock Housing stock growth rate (%) growth rate (%) ((ΔΔKKtt/K/Ktt--11))
Population Population growth rate growth rate
(%)(%)
Per
cent
at a
nnua
l rat
es
Mid-20th century construction boom transformed the housing stock for demographic transition to larger share of younger families
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-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
1930s 1950s 1970s 1990s 20-teens
Sources: Robert C. Schmitt Historical Statistics of Hawaii, Hawaii DBEDT (http://dbedt.hawaii.gov/economic/county_report/), Bank ofHawaii Annual Economic Report (various), annual TZE data through 2012
Neighbor Isles: population growth > housing formationNeighbor Isles: population growth > housing formation
Housing stock Housing stock growth rate (%) growth rate (%) ((ΔΔKKtt/K/Ktt--11))
Population Population growth rate (%)growth rate (%)
Per
cent
at a
nnua
l rat
es
Falling behind in the 21st century
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Homebuilding on Oahu now recovering, but last five Homebuilding on Oahu now recovering, but last five yearsyears’’ new units still lowest production since WWIInew units still lowest production since WWII
Uni
ts a
utho
rized
by b
uild
ing
perm
it
0
4000
8000
12000
1930 1940 1950 1960 1970 1980 1990 2000 2010 2020
WWII
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Projection assumes that existing home sales prices rise 15% annually 2014-2017 to approximately $1 million (SF), $530k (condo), long-term Treasury bond yields rise to 4% by 2015, production of 5,500 high-rise condominium units in Kakaako is completed but absorption reduces notional annual production amounts at Koa Ridge (300 units) and Ho’opili (500 units) by one-third in 2017 and two-thirds in 2018 at the end of a U.S. economic expansion of average duration for the post-1970s era (eight years)
Ann
ual i
n th
ousa
nds,
s.a
. (lo
g sc
ale)
My residential construction forecast midMy residential construction forecast mid--2013: 2013: Oahu new housing units authorized by building permitOahu new housing units authorized by building permit
Sources: County building departments, Hawaii DBEDT, TZE database; trend extraction by TZE
1.0
2.0
4.0
8.0
80 85 90 95 00 05 10 15 20
Actual/projectedTrend/cycle
ProjectedProjected
You are You are herehere
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100
1000
1980 1985 1990 1995 2000 2005 2010 2015
Reality: Oahu homebuilding upswing falteringReality: Oahu homebuilding upswing faltering
Sources: County building departments, Hawaii DBEDT, quarterly data through first quarter 2014; seasonal adjustment, trend extraction by TZE
Thou
sand
new
uni
ts, s
.a. (
log
scal
e)
U.S. recessions shaded
First quarter 2014 is lowest since the 1940s
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0.2
0.4
0.8
1.6
3.2
75 80 85 90 95 00 05 10 15
Reality: Neighbor Island quarterly new housing Reality: Neighbor Island quarterly new housing units authorized by building permit also weakunits authorized by building permit also weak
2014Q1 (259 units)
Sources: Hawaii DBEDT (http://dbedt.hawaii.gov/economic/qser/selected-county-tables); seasonal adjustment and cycle/trend extraction by TZE
U.S. recessions shaded
Thou
sand
uni
ts, s
.a. (
log
scal
e)
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SummarizingSummarizing
Stop counting cranes, nobody even knows what “a lot” is, any more1. “So much” Oahu homebuilding only WWII was worse than the last five years2. New household formation has outstripped homebuilding for two decades3. There are fewer tourist lodging units on Oahu than twenty years ago
Housing market conditions are balanced, but appreciation is less than expected1. Local economy hit the wall in 2013, home prices reflected momentum loss2. Installing PV or buying a diesel generator at Lowes is not construction
Extending local economic expansion requires an investment resurgence1. New homebuilding should be leading, but it isn’t—not yet anyway2. Public infrastructure investment was absolutely larger 50 years ago3. Economic outlook is less robust than is widely perceived
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Slides available from:Paul H. Brewbaker, Ph.D.Principal, TZ Economics606 Ululani St.Kailua, Hawaii [email protected]
MahaloMahalo!!
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Appendix 1. more construction detailsAppendix 1. more construction details
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Falling incrementalFalling incremental--capital ratios: annual private capital ratios: annual private and public construction as a percent of Hawaii GDPand public construction as a percent of Hawaii GDP
0
2
4
6
8
10
1960 1970 1980 1990 2000 2010 20200
2
4
6
8
10
Source: TZE database, county building departments, Hawaii DBEDT, U.S. Bureau of the Census; deflation and trend/cycle extraction by TZE
Private building permit values
Government construction contracts
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Hawaii real per capita personal income: decline in Hawaii real per capita personal income: decline in incrementalincremental--capital ratio matches growth slowdowncapital ratio matches growth slowdown
20
40
1950 1960 1970 1980 1990 2000 2010 2020
Thou
sand
201
3$ (l
og s
cale
)
Source: BEA, BLS; deflation and interval trend regressions on natural logs of real per capita income by TZE
$45,000
Faster growth
Slower growth
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Real private building permit values: as economy Real private building permit values: as economy slows, slows, ““buildingbuilding”” shifts to renovationsshifts to renovations
40
80
160
320
640
85 90 95 00 05 10 1540
80
160
320
640
85 90 95 00 05 10 15
New buildings Additions and alterations
Mon
thly
, mill
ion
2013
$, s
.a. (
log
scal
e)
Sources: Hawaii DBEDT, TZE database, Census Bureau; seasonal adjustment, deflation, and trend extraction by TZE
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Residential, 47.5
Commercial,25.5
Commercial, 15.3
Addn, Altn, 25.1 Addn, Altn,
37.3
Residential, 52.2
0%
25%
50%
75%
100%
Shifting shares of Hawaii private construction going Shifting shares of Hawaii private construction going from a high growth to a low growth economyfrom a high growth to a low growth economy
1983-2003 2003-present
Shares of total private building Shares of total private building permit estimated construction costspermit estimated construction costs
% of total1983-2003
2003-present
Residential 52.2 47.5
Commercial 25.5 15.3Additions,Additions,AlterationsAlterations 25.125.1 37.337.3
Source: TZE database, county building departments, Hawaii DBEDT, U.S. Bureau of the Census; share calculations by TZE
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Going from a high growth to a low growth economyGoing from a high growth to a low growth economy
0
2
4
6
8
10
60 70 80 90 00 10 20
20
40
60 70 80 90 00 10 20
Percent of Hawaii GDP
Private construction
Public construction
Low growth
High growth
Real per capita personal incomeReal per capita personal income
Thousand 2013$ (log scale)
$45k
Sources: BEA, BLS, Bureau of the Census, TZE database, county building departments, Hawaii DBEDT; deflation and trend/cycle extraction by TZE; deflation and interval trend regressions on natural logs of real per capita income by TZE
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Real Hawaii new residentialReal Hawaii new residentialbuilding permit valuesbuilding permit values
40
80
160
1980 1985 1990 1995 2000 2005 2010 2015 2020
11 2 3 4 55
1 Volcker interest rate rise2 Operation Desert Shield (HFDC initiates The Villages of Kapolei (http://www.villagesofkapolei.com/wp-content/uploads/2011/02/ArticlesInc-3.pdf)) 3 Operation Desert Storm4 9/115 Lehman Brothers collapse
U.S. recessions shaded
Quarterly million 2013$
s.a. (logs)
Sources: Hawaii DBEDT, TZE database, Census Bureau; seasonal adjustment, deflation, and trend extraction by TZE
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Combined federal, state, county government Combined federal, state, county government construction contractsconstruction contracts
100
200
400
800
1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015
Sources: Hawaii DBEDT, TZE database, Census Bureau; seasonal adjustment, deflation, and trend extraction by TZE
U.S. recessions shadedQuarterly
million 2013$s.a. (logs)
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Hawaii real construction spendingHawaii real construction spending1 and jobsand jobs2
(normalized)(normalized)3: so far, no construction : so far, no construction ““boomboom””
-2
-1
0
1
2
-2
-1
0
1
2
1990 1995 2000 2005 2010 2015
ContractingPayrolls
U.S. recessions shadedIniki6
“Japan”4
“Subprime”5
PV7
Boom (not)
Notes on next slide: contracting trend (dashed) is trend/cycle component from Hodrick-Prescott filter; sources are Hawaii Department of Taxation (contracting receipts), Hawaii DLIR, Hawaii DBEDT (payroll employment); seasonal adjustment, deflation by TZE
Scales are standard deviations from the means for each time series in real terms, seasonally-adjusted, for the period January 1990 – latest data 2014
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Notes to prior slideNotes to prior slide
1 General excise and use tax basis (Hawaii Department of Taxation) through February 2014, seasonally-adjusted, deflated using U.S. Census Bureau construction cost deflator (Fisher) for new single-family houses under construction.
2 Payroll employment in natural resources, mining, and construction (NAICS basis) through May 2014, seasonally adjusted (in Hawaii mining is primarily quarrying).
3 Monthly data are normalized to period averages (scale is in standard deviations).4 “Japan” denotes so-called Japan Bubble, a late-1980s/early-1990s period including construction of the last Class
A high-rise office towers in Honolulu: contracting receipts rose more than +1.5 standard deviations because high-rise buildings are a relatively capital-intensive construction process (replicating floors approximately weekly); construction employment did not rise as much.
5 “Sub-prime” denotes so-called Sub-prime Bubble, an early-2000s period distinctive in the excess of employment growth relative to contracting receipts reflecting a military housing privatization initiative during which approximately 17,000 base housing units on Oahu were renovated under exemption from building permits and general excise tax liability (numbers roughly equal to the contemporaneous, cumulative net increase in Oahu’s private housing stock, 16,843 units, 2002-2008.)
6 Hurricane Iniki produced a temporary increase in construction employment, associated with disaster relief, recovery, and reconstruction, without a comparable increase in contracting receipts.
7 State residential photovoltaic panel installation tax credits, complementing federal tax credits, and rising crude petroleum and electricity costs stimulated an early-20-teens surge in photovoltaic equipment investment without a commensurate increase in employment associated with new building (buildings).
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Appendix 2. more tourism detailsAppendix 2. more tourism details
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400
500
600
700
04 05 06 07 08 09 10 11 12 13 14
Neighbor IslesOahu
Real visitor expenditure stalled: Oahu was higher, Real visitor expenditure stalled: Oahu was higher, now, with Neighbor Islands, match last cyclical peaknow, with Neighbor Islands, match last cyclical peak
Mon
thly
, s.a
., m
illion
201
3$ (l
og s
cale
)
Neighbor Isles
Oahu
No Aloha
Tsunami
Source: Hawaii Tourism Authority, Hawaii DBEDT; BEA, U.S. Department of Commerce; deflation, seasonal adjustment by TZ Economics
U.S. recession shaded
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Total visitor arrivals stalled: Neighbor Islands Total visitor arrivals stalled: Neighbor Islands lower, Oahu higher than last cyclical peak; both flatlower, Oahu higher than last cyclical peak; both flat
250
300
350
400
450
500
04 05 06 07 08 09 10 11 12 13 14
Neighbor IslesOahu
Neighbor Isles
Oahu
No No AlohaAloha
Tsunami
Source: Hawaii Tourism Authority, Hawaii DBEDT; BEA, U.S. Department of Commerce; deflation, seasonal adjustment by TZ Economics
Mon
thly
, s.a
., 00
0 pe
rson
s (lo
g sc
ale)
U.S. recession shaded
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100
200
2000 2005 2010 2015
Hawaii visitor arrivals, Hawaii visitor arrivals, s.as.a., monthly, thousands: ., monthly, thousands: international and domestic offset; international and domestic offset; ““musical chairsmusical chairs””
300
350
400
450
500
2000 2005 2010 2015
U.S. recessions shaded
SARS
9/11
9/11
H1N1-A
Tohoku
Y2KNo Aloha
Source: Hawaii Tourism Authority, Hawaii DBEDT, includes 2013-2014(Apr) revisions; seasonal adjustment, trend extraction by TZ Economics
Both depicted on logarithmic scales
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Visitor length of stay recently declined, via offsetting Visitor length of stay recently declined, via offsetting growth in international, decline in domestic arrivalsgrowth in international, decline in domestic arrivals
8.4
8.8
9.2
9.6
10.0
98 00 02 04 06 08 10 12 14
SARS9/11
Source: Hawaii Tourism Authority, Hawaii DBEDT, includes 2013-2014(Apr) revisions; seasonal adjustment, trend extraction by TZ Economics
U.S. recessions shaded
Day
s pe
r vis
it
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Hawaii real hotel and retail receipts: each cycle, as Hawaii real hotel and retail receipts: each cycle, as room rates rise, hotel rentals steal from retail room rates rise, hotel rentals steal from retail
1.5
2.0
2.5
3.0
200
300
400
2004 2006 2008 2010 2012 2014
Hotel(right scale)
Retail(right scale)
Source: Hawaii Department of Taxation, BEA; seasonal adjustment, deflation using U.S. personal consumption expenditure deflator and trend extraction by TZ Economics
No Aloha
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If tourism, defense, and construction are shrinking, If tourism, defense, and construction are shrinking, in the longerin the longer--run (e.g. 25 years), what is growing? run (e.g. 25 years), what is growing?
Strategic (a.k.a. longStrategic (a.k.a. long--run) challenges for Hawaiirun) challenges for Hawaii
You get 2% productivity growth simply by downloading apps and upgrading software
In America—which in the 1940s had the Gini ratio of today’s Belgium, but now has the Gini ratio of Haiti*—95% of income growth went to the top 1% of the income distribution, 2009-2013.
Politics of NIMBY inhibits tourism’s ability to expand its capacity—no export growth possible
(Global lodging brands are delighted to exercise the market power gifted to them as a result)
Who would invest in an economy that is shrinking its principal exports, tourism and federal military?0
4
8
12
16
20
1925 1950 1975 2000 2025
Visitor arrivals
Real visitor expenditures
Billion 2013$ (statewide)Million tourists
Source: Hawaii Tourism Authority, Hawaii DBEDT; TZE database
*The Gini ratio is a measure of income inequality
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Some recent views from DBEDT and UHEROSome recent views from DBEDT and UHERO
UHERO (May 2014)*: “Incremental [tourism] gains for 2014 will be slight. Beyond this year, available capacity will limit further visitor industry growth.”
DBEDT (May 2014)‡: “Visitor arrivals are expected to increase 1.9 percent in 2016 and 1.8 percent in 2017. Visitor expenditures are expected to increase 4.6 percent in 2016 and 4.5 percent in 2017.”
UHERO (May 2014)*: “The construction expansion has proceeded further on Oahu than the elsewhere in the state, but it is also poised to contribute growth momentum to all counties going forward.”
DBEDT (June 2014)†: “Change the mindset from controlling growth to generating growth.”
Sounds good, but the last three are starting to sound increasingSounds good, but the last three are starting to sound increasingly implausiblely implausible
*UHERO (May 23, 2014) (http://www.uhero.hawaii.edu/assets/14Q2CountyForecast-PublicSummary.pdf)‡Hawaii DBEDT (May 8, 2014) (http://dbedt.hawaii.gov/economic/qser/outlook-economy/) †Richard Lim, Director Hawaii DBEDT (June 20, 2014) “Hawaii’s Economic Future,” presentation to The Counselors of Real Estate
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Appendix 3. urbanism and the services economyAppendix 3. urbanism and the services economy
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-6
-4
-2
0
2
4
6
8
1840 1870 1900 1930 1960 1990 2020
Oahu and Neighbor Island population growth rates Oahu and Neighbor Island population growth rates over decades and the midover decades and the mid--2020thth century migrationcentury migration
Per
cent
cha
nge
at a
nnua
l rat
es
Source: U.S. Bureau of the Census, Hawaii DBEDT (various), Robert C. Schmitt Historical Statistics of Hawaii (1976) UH Press
Neighbor Isles
Oahu
Now what?Net migration to Oahu
JetsPlantations
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Factors in Honolulu 20Factors in Honolulu 20thth century urbanizationcentury urbanization
Early 20th century plantations: centers of employment, communities1. Co-location of mills, canneries, harbors; people walked to work2. Mechanization led plantations to become increasingly capital-intensive
Mid-20th century Oahu population rose, Neighbor Islands declined1. Net migration from the Neighbor Islands to Oahu2. Affordable motor vehicles increased mobility ⇒ suburban spatial dispersion
1960s brought mass market tourism: statehood, commercial passenger jets
After 1970s Hawaii embraced “limits to growth” and “capacity constraints”1. Recent ordinance bans building heights in excess of Walter Dodds’ FHB tower 2. Proposed ordinance bans condominium conversions to timeshare (securitization)3. De facto cap on Oahu accommodations (10k (1965), 39k (1986), 35.75k (2013))
Source: Hawaii Tourism Authority, Visitor Plant Inventory (various)
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Fashionable to deride services as low-wage and presumptively less productive
Reality is the opposite during the last twenty years—skilled services ascendant
Rise of the service sector has reshaped economic and physical landscape*
Since the structural transformation shifts labor from high-productivity growth sectors to low-productivity growth sectors, Baumol (1967) feared that the economy was doomed to long-run stagnation. In our model this dismal prediction fails to materialize because it is exactly the structural transformation that makes the service sector concentrated enough for innovation to endogenously take off. This is consistent with the acceleration of services productivity growth in the mid-1990s, as well as with the increase in land rents and real wages around that period.
Services spatially concentrated to the point that innovation and productivity growth took off after the mid-1990s
Cities are where it’s at
Demographic transition alters patterns of housing Demographic transition alters patterns of housing demand; urbanization demand; urbanization bouyingbouying the services economythe services economy
*Klaus Desmet and Esteban Rossi-Hansberg (2014), “Spatial Development,” American Economic Review 104(4), pp. 1211-1243; William Baumol(1967), “Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis,” American Economic Review 57(3), pp. 415-426..
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Agglomeration economies: Agglomeration economies: ““density is proximitydensity is proximity””
Agglomeration economies: one person’s productivity rises when near others 1. Externality—productivity rises learning from or imitating a neighbor2. Internalized—supplier and customer co-locate to reduce transportation cost
Explains urban density without appeal to external factors (ports, canneries)*
...the evidence suggests that these external factors are no longer that important. The older cities were generally built around harbors, and those harbors were significant, but there is no natural advantage that can explain Las Vegas…
Mechanism is partly combinatoric: larger numbers of productive interactions are possible the more people are gathered in related occupational pursuits†
(e.g.) When research effort is applied, new ideas arise out of existing ideas in some kind of cumulative interactive process that intuitively has a very different feel from prospecting for petroleum. To me, the research process has a sort of pattern-fitting or combinatoric feel about it.
* Edward L. Glaeser (2008) Cities, Agglomeration and Spatial Equilibrium, Oxford University Press; Paul Krugman (1991), Geography and Trade.Cambridge MA: MIT Press. †Martin L. Weitzman (1996), “Hybridizing Growth Theory,” American Economic Review Papers and Proceedings 86(2)