Notes on Indian manufacturing, growth, and industrial policies · Notes on Indian manufacturing,...
Transcript of Notes on Indian manufacturing, growth, and industrial policies · Notes on Indian manufacturing,...
Roadmap
• Productivity gaps – both symptom of underdevelopment and growth potential
– ‘internal convergence’
• Structural change– Where does India stand with respect to pace and direction of
structural change?
• Policies to foster requisite structural change– Conventional policies
– Relative price of tradables: real exchange rate
– “industrial policies”
Growth requires both new activities and
ongoing structural change
05
01
00
15
0
7 8 9 10 11ln_sumlprod
In %, = (agr_lprod_kppp00/non_agr_lprod_kppp00)*100 Fitted values
1960
1961
19621963
1964
1965
1966
1967196819691970
1971
19721973
19741975
197619771978
197919801981
198219831984198519861987
1988198919901991199219931994
1995199619971998
19992000200120022003
20042005
1950 19541955
195619571958
19591960
1961
19621963196419651966
19671968
196919701971
197219731974197519761977
1978
197919801981
1982
1983
1984
19851986
19871988
1989
1990
1991
19921993
1994
1995
199619971998
199920002001
2002
2003
2004
2005
19601961196219631964196519661967196819691970197119721973197419751976197719781979
19801981
198219831984198519861987
1988
1989199019911992
199319941995199619971998
1999200020012002200320042005
02
04
06
08
0
In %
, =
(a
gr_
lpro
d_
kp
pp
00
/no
n_
ag
r_lp
rod
_kp
pp
00
)*1
00
7 8 9 10 11ln_sumlprod
IND FRA
PER
Relationship between economy-wide labor productivity (horizontal axis) and the ratio of
agricultural productivity to non-agricultural productivity (percent, vertical axis)
India
India is at the stage of development where the potential for growth-enhancing structural change is nearing its maximum.
Productivity gaps within economy are large, but diminish over the course of development
MWI
ETH
ZMB
GHA
KEN
SEN
NGA
BOL
IND
CHN
PHL
IDNBRA
PER
THA
COL
CRI
VEN
MEXTURCHLARG
MYSKOR
MUS
ZAF
DNKTWN
ESP
UKM
JPN
SWEITA
NLD
FRA
SGP
HKG
USA
-.35
-.3
-.25
-.2
-.15
Com
pon
en
t plu
s r
esid
ual
7 8 9 10 11lnlabprod05
Relationship between inter-sectoral productivity gaps and income levels
dis
per
sio
n in
lab
or
pro
du
ctiv
ity
acro
ss b
road
sec
tors
Economy-wide labor productivity
Productive heterogeneity in the economy
Indian labor productivity as percent of U.S., 2005
Manufacturing has the greatest potential to create jobs, yet is among the least productive activities outside of agrculture
63% of employment
63% of employment63% of employment11% of employment
2% of employment
Heterogeneity within organized manufacturing
Indian labor productivity as percent of China, 2005
2.7 % of formal manuf. empl.
20% of formal manuf. empl.
1.4 % of formal manuf. empl.
Productivity dispersion within manufacturing
0.2
.4.6
.81
kd
en
sity lnla
bor_
pro
du
ctivity
7 8 9 10 11 12x
India China
Log labor productivity across 4-digit manufacturing industries
Growth-enhancing structural transformation is not automatic
-0.02 -0.01 0 0.01 0.02 0.03 0.04 0.05
HI
ASIA
AFRICA
LAC
within
structural
Decomposition of productivity growth by country group, 1990-2005
Productivity growth
within sectors
Productivity growth due
to structural change
Perverse structural change in Latin America: Argentina
agrcon
cspsgsfire
man
min
pu
tsc
wrt
-.5
0.5
11.5
2
Lo
g o
f S
ecto
ral P
rod
uctivity/T
ota
l P
rodu
ctiv
ity
-.06 -.04 -.02 0 .02 .04
Change in Employment Share(Emp. Share)
Fitted values
*Note: Size of circle represents employ ment share in 1990**Note: denotes coef f . of independent v ariable in regression equation: ln(p/P) = + Emp. Share
Source: Author's calculations with data f rom Timmer and de Vries (2009)
= -7.0981; t-stat = -1.21
Correlation Between Sectoral Productivity andChange in Employment Shares in Argentina (1990-2005)
Perverse structural change in Latin America: Brazil
agr
con
cspsgs
fire
man
min
pu
tsc
wrt
-10
12
Lo
g o
f S
ecto
ral P
rod
uctivity/T
ota
l P
rodu
ctiv
ity
-.1 -.05 0 .05
Change in Employment Share(Emp. Share)
Fitted values
*Note: Size of circle represents employ ment share in 1990**Note: denotes coef f . of independent v ariable in regression equation: ln(p/P) = + Emp. Share
Source: Author's calculations with data f rom Timmer and de Vries (2009)
= -2.2102; t-stat = -0.17
Correlation Between Sectoral Productivity andChange in Employment Shares in Brazil (1990-2005)
Perverse structural change in Latin America: Chile
agr
con
cspsgs
fire
man
minpu
tsc
wrt-.5
0.5
11.5
2
Lo
g o
f S
ecto
ral P
rod
uctivity/T
ota
l P
rodu
ctiv
ity
-.1 -.05 0 .05 .1
Change in Employment Share(Emp. Share)
Fitted values
*Note: Size of circle represents employ ment share in 1990**Note: denotes coef f . of independent v ariable in regression equation: ln(p/P) = + Emp. Share
Source: Author's calculations with data f rom Timmer and de Vries (2009)
= -2.3674; t-stat = -0.43
Correlation Between Sectoral Productivity andChange in Employment Shares in Chile (1990-2005)
Patterns of structural change: India
agr
concspsgs
fire
man
min
pu
tsc
wrt
-10
12
Lo
g o
f S
ecto
ral P
rod
uctivity/T
ota
l P
rodu
ctiv
ity
-.04 -.02 0 .02
Change in Employment Share(Emp. Share)
Fitted values
*Note: Size of circle represents employ ment share in 1990**Note: denotes coef f . of independent v ariable in regression equation: ln(p/P) = + Emp. Share
Source: Author's calculations with data f rom Timmer and de Vries (2009)
= 35.2372; t-stat = 2.97
Correlation Between Sectoral Productivity andChange in Employment Shares in India (1990-2005)
Patterns of structural change: Thailand
agr
con
cspsgsfire
man
min
pu
tsc
wrt
-10
12
3
Lo
g o
f S
ecto
ral P
rod
uctivity/T
ota
l P
rodu
ctiv
ity
-.2 -.1 0 .1
Change in Employment Share(Emp. Share)
Fitted values
*Note: Size of circle represents employ ment share in 1990**Note: denotes coef f . of independent v ariable in regression equation: ln(p/P) = + Emp. Share
Source: Author's calculations with data f rom Timmer and de Vries (2009)
= 5.1686; t-stat = 1.27
Correlation Between Sectoral Productivity andChange in Employment Shares in Thailand (1990-2005)
India versus Thailand
agr
concspsgs
fire
man
min
pu
tsc
wrt
-10
12
3
Lo
g o
f S
ecto
ral P
rodu
ctiv
ity/
To
tal P
rod
uctiv
ity
-.2 -.1 0 .1
Change in Employment Share( Emp. Share)
= 35.2372; t-stat = 2.97
India
agr
con
cspsgsfire
man
min
pu
tsc
wrt
-10
12
3
Lo
g o
f S
ecto
ral P
rodu
ctiv
ity/
To
tal P
rod
uctiv
ity
-.2 -.1 0 .1
Change in Employment Share( Emp. Share)
= 5.1686; t-stat = 1.27
Thailand
*Note: Size of circle represents employment share in 1990**Note: denotes coeff. of independent variable in regression equation: ln(p/P) = + Emp. Share
Source: Authors' calculations with data from Timmer and de Vries (2009)
Correlation Between Sectoral Productivity andChange in Employment Shares in India and Thailand(1990-2005)
Fitted values
Sources of economy-wide productivity growth
Respective contributions of labor productivity within broad sectors and of structural change to economy-wide growth during 1990-2005
Are resources moving in the right direction within manufacturing?
151
153
154
155
171172
191
202
210
221
222
241
242
251
269
273
281
289
291
292331
351
359
369
above average productivity
below average productivity
textiles, spinning, weaving
basic chemicals
transport equip. nec
gen. purpose mach.
other chemicals
grain mill products, etc
-1-.
50
.51
1.5
-.04 -.02 0 .02change in employment share, 1998-2005
Structural change within manufacturing has reduced labor productivity growth of the sector by 0.9% p.a. during 1998-2005.
Structural change as engine of productive development
• Low productivity in manufacturing, plus slow (or perverse) structural change are both a drag on the economy
• It would be a mistake to focus only at the high-end, most competitive industries
– Skill- and capital-intensive, and unlikely to generate the levels of employment needed
– Shift of labor to mid-range industries would still generate growth, as well as more employment
What constrains the structural change process?
• Labor laws?
• Infrastructure?
• Red tape/corruption?
• Self-discovery/coordination externalities?
• …
The (real) exchange rate as a short-cut
Relationship between undervaluation and growth(developing country sample, FE)
MNG75
ROM65MNG80
YEM90
MNG85
NGA80
GHA80
ZAR75
SYR85
BRA55
NGA75
SYR65
MOZ65
CHN60
SYR80
SYR90
MOZ70
CHN65
COG100
CHN55SUR90
TUR55ROM70
UGA75
BTN75
IRN85TZA80GHA75
GNQ65NGA95
CHN70
SYR75
GNB70
GNB80
SCG95
SYR70SDN85
ZAR80NGA70
SYR95
GNB65
SYR100TZA75
UGA80
BRA65
YEM100JAM100
LBR95
BRA70
UGA85
SCG100
GNB75
TZA70
BRA60
LBN100
SDN75
YEM95
TON75
LBR90
MAR55
SOM80
CHN75
SDN80
SDN90
NGA85
ZMB80
CAF90SUR85GNQ70COG65TZA85
MWI60
LBR100
TZA65
ETH85
MOZ75COG75SUR80
ZAR100
MWI65ZMB100
SUR75ZMB75COG70
TUR75
MRT80
AFG90
ZMB95
GHA65
LBN95
MWI55
PAN55
EGY85GRD95GRD90GMB75
MNG90
TON90TUR65
TGO100
COG90SEN90NGA100FSM100
PAN60ETH55
KIR95
TUR90
LKA55TWN55
JAM95
KIR90MRT90BTN80
ETH65COG85TUR60
BTN85MWI70COG95
ETH60MRT85
TON80
HND100TGO90PAK65
GHA60
BEN90
KIR80
LKA60
BEN75
GNB85CMR75ZMB90ETH70CAF85
GNB90STP85TON95
VUT75MLI90
TUR100GMB90
MRT75
MDG100
HND85
KIR100
BEN60
TZA95
PAK60
BWA90
BWA80GNQ90
ISR55PAN65
TZA90
PER95
CMR90
STP80DOM55
CIV75
STP75
ZMB70
UGA70PER100
TGO65
WSM90
TCD75IND60
SDN100
GHA70
FSM95TUR95TGO95
CMR85
CHN80GMB80
NGA65
CIV90
PER90
IND55MOZ80
BTN100FJI80WSM95COL55CIV65
URY65TUR70
SLV100
LKA65
FSM90
CAF95GMB85
ZAR95
WSM100
KEN75GNB95
BFA90
TZA100
SOM100JAM65
COG80
IRN90
BEN80
MYS60SOM95BIH100
NGA90CAF100SEN85
JOR100
NER75
CAF75
VUT100TGO85
SUR95NER90
BEN65
CMR80
BWA75BFA75BFA65
WSM75
MDG80PAK55KOR55
KIR75
BFA60
MDV95
JAM70HND65TCD65KEN80VUT90GTM100
DZA85
BIH95
VUT95TGO75KIR85ZAR90PAN70MWI90
BDI80
MDG95
ETH75FSM80
MDG90TCD70IND65
ZAR85
JAM75
FJI75SEN75MDV100
GNQ95
MYS65
MAR60
KEN70
JAM60
TON100
MWI75
TCD80
FSM75BEN100GMB100
KEN100TWN60
IRN95
GHA85
LBR85
DOM60BEN95
ERI100
HND80CUB100
BTN90
ZMB65
HND70GHA90
FJI85
COL60GRD85IRL60STP90
THA55
BFA70
PHL55ETH90
MDG75
DOM65
RWA85
JOR80BLZ90SLE80
FJI95CIV80
AFG100
KEN85
SEN70ETH80
CPV75
FJI90
NER85SEN65
JAM55
HND60SEN95
GNB100
BFA85
NAM90BEN85
IRN80
MLI85CHL55
BOL80
MDV90BEN70
SLE100CMR70
SLB100
NPL65LSO90
MLI95
JAM80
LKA70CIV85
CIV95
MLI100
SDN95
TUR80
UGA95
HND55ECU100
GMB95JOR75ZMB85PAN75DOM75
DOM70MYS70
KHM85THA60TWN65
TGO80
DOM80
MEX70BLZ95MWI80
NER80
NAM95
DJI90
HND95MEX65
TGO70
MOZ85NER70
CRI55CUB75BWA85
SLB95
IRL55
JOR95
JOR90
CPV70
SLV95
BTN95FSM85CIV70JOR85GTM95BFA80TCD90KOR80
MDG85FJI100
CPV90TUR85
CAF80IND70
KHM80
VUT85VUT80
UGA90
DZA90
SLE75DOM95
GMB70
MNG100
CHL60
THA65SOM85
TWN70NGA60
MKD95
BOL95
GRC55GRC60NGA55
TWN75
SEN100ZMB60
GMB65
MEX60
CUB95
MLI80ECU95MWI85CMR65
HND75COL65
GNQ85
BDI65
LBR80
KHM100
SEN80GHA95
BDI85MYS75MRT95MYS80PNG90
LBR75SLB90
MAR65
MAR70PAK70DZA75
RWA75CHL65
TON85
BOL90
ZWE100CIV100
COM90
KOR75
GTM55BOL100WSM80CRI60
NER65
BLZ85
NAM75
JAM90DZA80
RWA95
CUB80
MDG65
MLI75COL80
VCT90TCD85
MNG95RWA90
NER100KEN95ROM100
MKD100
CMR95
NAM100MAR75HND90SGP65
COM100
GTM60SOM75DOM90
KHM95
KEN60BDI75KEN65
ZWE65
PRY80
IDN75
KHM75
MDG70
BFA95HKG65NPL70
ALB100RWA80
MDV85
MYS85
BOL85
ESP55GTM80
JAM85
JPN60
CPV95
WSM85
VCT85DJI95
LCA85
BDI70
CRI70
TCD100
LSO95
EGY55
KEN55SLV90
LSO65
BDI90
ZWE60
THA90
CPV65NAM80BOL55
PHL60
CRI65POL80MAR95
KHM90
DJI85
NER95
SLB80
MWI95ROM75
ERI95
LCA80
KOR60
UGA100MAR90
THA70SLB85
DZA70GTM90TTO55TCD95GTM65
LSO70
KOR70
PAK75STP100MAR100KEN90
IDN80COL70
BFA100
EGY60PHL95TUN75
PRT65
JPN55
CMR100
MDV75GTM85
DZA100PRT60
IND75
SLB75BOL75LSO80
ATG75PRT55
TUN90
SLV85MEX55
GRD80
EGY80
EGY75STP95
DJI100
DZA95
PNG75
GTM75IND80
ZWE55
BDI95
HTI100COL90IDN70CHN85
PHL65
CUB90
EGY95
MRT100MDV80PRY95PAK80
SLE95
DMA85
IDN65
COL75
CPV100
LCA75COM95
TUN70BOL60THA75DZA65
CHL75
MLI70ROM95
ZAF60LSO75
CPV85
CPV80COL85EGY65
THA80
SLE90
PRY90HTI95
PER85
PHL90GTM70
ZWE70
RWA70ZAF55
ZWE85
ECU80BOL65
KOR65
UGA65
MWI100
LSO100
RWA100
MLI65
IND85ECU90
ALB95ZWE75
EGY100
GIN70
EGY90
PNG80EGY70
MAR80
MOZ95
THA85
JOR70
PRY75PAK90JOR55VCT80
GRD75
NAM85DJI80PNG85GHA100
ZWE80
UGA60UGA55
COM85
PRY85ESP60
PRY65
PHL100
TUN65
NIC100PRY55
IDN90
NIC90
BLZ80
BOL70
ROM90
LSO85TUN80
PRY60
MAR85BLZ75PRY70
PER65ETH95
VCT75
CHN90
CHN100
MOZ90
ECU85
PER70
NPL75
TUN85BGD95GIN90
ECU65
SLV80
PAK95
JOR60
PAK85
GIN65NIC85
CHN95
BGD90
AFG95
PAK100IDN85
NIC95
GNQ75
RWA65
ZWE90DMA80
NPL80LKA75BGD75
BGD100
ECU75
ECU70
KNA75
GIN75
PRY100
JOR65
BGD85
MOZ100IND90SLV60
SLV55
HTI85HTI90
KNA80COM75
BDI100
NPL85
GIN60
PER60PNG95
BGD80PHL80
GIN85DOM85PHL85
ECU60
AZE100
LKA90
ETH100
SLE85PHL75VNM100
GNQ80
NPL90
LKA95
PER80ZWE95
COM80SLV65GIN95
GIN80NIC80PHL70
SOM90LKA100VNM95IND95
IDN100PER75
AZE95
ECU55
IND100
NPL100IDN95NPL95
DMA75
IRN60LKA80
GEO95
PER55LKA85IRN65
UZB95SLV70
SWZ75
SLV75SWZ80
MDA100HTI80
MUS60ARM100
AFG85
PNG100
MUS55MUS65
GEO100HTI75
NIC55
MDA95
UKR95
NIC60
MUS70GIN100
AFG75
COM65
UKR100
COM70
AFG80
VNM90
TJK95
TJK100
KGZ95
UZB100KGZ100
-.2
-.1
0.1
Com
pon
en
t plu
s r
esid
ual
-2 -1 0 1 2underval
Undervaluation, industrial employment and growth
Industrial employment and growth
-.05
0
.05
.1
gro
wth
(ort
hogonal part
to o
ther
regre
ssors
)
0 .1 .2 .3 .4 .5industrial employment share
-.15
-.1
-.05
0
.05
.1
industr
ial em
poym
ent share
(ort
hogonal part
)
-2 -1 0 1 2undervaluation index
Undervaluation and industrial employment
Each observation is a country over a 5-year period. Initial income and fixed effects for countries and time periods included.
Role of the real exchange rate
The undervaluation index is the price level of Indian goods relative to other countries, corrected for the Balassa-Samuelson-effect.
What about industrial policy
In addition to overcoming other failures that prevent new industries from getting off the ground, there exist a wide range of theoretical arguments for IP, based on the existence of market failures specific to such activities:
• Learning spillovers from the introduction of new products or new technologies (e.g., garments in Bangladesh, HYVs in India…)
• Upstream spillovers from FDI (e.g., auto plants)• Dynamic scale economies and LBD (e.g., Japanese steel)• Coordination and agglomeration externalities (e.g., tourism and
electronics clusters…)• Credit market imperfections (e.g., wide variation in interest rates across
borrowers in South Asia and elsewhere; absence of long-term credit markets)
The ambiguous case for IP (in practice)
Insurmountable obstacles to the practice of IP?
• Lack of information– can governments identify the relevant firms, sectors, markets subject to those
market imperfections?
• Political capture– can governments withstand lobbying and rent-seeking to prevent IP from
becoming an instrument of rent transfer to incumbents?
The debate on IP revolves not around its theoretical merits, but around sharply conflicting views regarding the relative importance and pervasiveness of these obstacles
• “Look at how difficult it all is…”• “But look at countries in East Asia who have done it …”
Does empirical work help? (1)
• Case studies
– plenty of “successes”• POSCO, Embraer, Chilean salmon, Singapore’s high-tech clusters…
– as well as “failures”• African white elephants, Proton, …
– but rarely subjected to explicit cost-benefit analysis• with a clear counterfactual
• some exceptions that come close
– Banerjee-Duflo (2004) on directed credit in India
– Irwin (2000) on U.S. tinplate industry in 1890s
– and not clear what we would learn even if they were• in view of selection biases
Does empirical work help? (2)
• Cross-industry econometrics
– did protected/subsidized industries do better?
– fair number of studies• Krueger and Tuncer (1982), Harrison (1994), World Bank (1993),
Lee (1996), Beason and Weinstein (1996), Lawrence and Weinstein (2001), …
– has the usual econometric complications of specification, omitted variable bias, measurement, etc.
– but the problems run much deeper
• Even when IP is appropriately targeted at industries with positive spillovers, observed correlation between measures of support and performance can be negative!
Where does this leave us?
• strong theoretical justifications for policy intervention• inconclusive empirical evidence on whether policy works “on average”• just like …
– education policy (human capital externalities)
– health policy (moral hazard, adverse selection)
– social insurance and safety nets (incomplete risk markets, behavioral factors)
– Infrastructure policy (natural monopoly)
– stabilization policy (Keynesian “rigidities”)
– …
• in all these areas, it is recognized that the market-failure arguments for intervention can be exploited by powerful insiders and overwhelmed by informational asymmetries
• but policy discussions typically focus not on whether the governmentshould do it, but on how– debate on what works and under what conditions
• making progress with IP requires a similar shift
Institutional design for IP must recognize that:
1. The requisite knowledge about the existence and location of the spillovers, market failures, and constraints that block structural change are diffused widely within society
– Especially in such a large economy as India
2. Businesses have strong incentives to “game” the government
3. The intended beneficiary of IP is neither bureaucrats nor business, but society at large
Design features for IP institutions (1):Embeddedness
• Economists tend to think of policy design in top-down, principal-agent terms– Takes informational incompleteness and asymmetries as given, while
keeping the private-sector at arms’ length
• This model has the advantage that it gives bureaucrats autonomy and protection from private sector rent-seeking…
• But it has the disadvantage that it severely restricts the flow of information from below– Businesses cannot communicate information about the
constraints they face other than through their actions
• “Capture” model also obviously wrong, since it leaves bureaucrats in the pockets of business.
Design features for IP institutions (1):Embeddedness
• Right model lies in between the two extremes:• strategic collaboration and coordination between the private
sector and the government with the aim of uncovering where the most significant bottlenecks are • deliberation councils, supplier development forums, “search networks,”
investment advisory councils, sectoral round-tables, private-public venture funds…
• IP as a process of discovery rather than as a list of policy instruments• focusing on learning where the binding constraints lie, rather than on
whether you should use tax breaks, R&D subsidies, credit incentives, and so on
• eliciting information on private sector’s willingness to invest subject to the removal of obstacles (or provision of incentives)
• combination of autonomy and embeddedness
Design features for IP institutions (2):Carrots and sticks
• Without rents for entrepreneurs, there is too little investment in cost discovery and other activities that promote structural change
– Schumpeter’s insight: entrepreneurship requires rents
– rents as second-best mechanisms to alleviate market failures discussed previously
• patents are the obvious rich-country example
• But open-ended rents bottle up resources in unproductive activities
Design features for IP institutions (2):Carrots and sticks
• Hence a two-pronged strategy:• encourage investments in non-traditional areas (carrot);• weed out projects/investments that fail (stick)
• conditional subsidies• sunset clauses• monitoring and evaluation
• Empirical background:• East Asia 1960-90: both incentives and discipline
• Lots of new activities, closely monitored for performance
• Latin America under ISI (1950-1980): lots of incentives, but too little discipline • Lots of new activities, some world-class performers, but many duds
• Latin America in the 1990s: lots of discipline, but too little incentives • Too few new activities
Design features for IP institutions (2):Carrots and sticks
• Success in IP is determined not by “picking winners” but by “letting losers go”
– given uncertainty, optimal policy outcomes will necessarily lead to mistakes
– trick is not to avoid mistakes altogether, but to ensure that
• mistakes are recognized as such
• and entail phasing out of support
– a much weaker requirement than “omniscience”
– governments may not be able to pick winners, but they can recognize losers
Design features for IP institutions (3):Accountability
• If bureaucrats monitor businesses, who monitors the bureaucrats?
• Need for mechanisms of transparency and accountability• A high-level political principal and “champion” for IP activities
• someone associated with IP activities and who can be held politically responsible
• as with education policy or monetary policy
• Mechanisms of transparency• publication of requests from business• publication of activities• accounting of expenditures• processes that are open to new entrants as well as incumbents • Periodic accounting of what was done and why (cf. inflation
targeting)
Concluding words
• Macro policy/RER critical to new tradable activities
– Cannot be separated from discussion on manufactures policy
• We need to “normalize” IP
– pragmatic rather than ideological approach
• Not “whether” but “how”?
• IP is a craft
– The importance of local learning-by-doing, and institutional innovation
• IP is a process and a frame of mind; not a set of policy tools and sectoral priorities
– The quality of government-business dialog is critical