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Doing Business with India: Issues, Perspectives, and Strategies
Dr. Amit Kapoor
Institute for Competitiveness (IFC), India is an independent, international initiative centred in India, dedicated to enlarging and disseminating the body of
research and knowledge on competition and strategy, pioneered over the last 25 years by Professor M.E. Porter of the Institute for Strategy and
Competitiveness, Harvard Business School (ISC, HBS), USA. IFC, India works in affiliation with ISC, HBS, USA to offer academic & executive courses, conduct
indigenous research and provide advisory services to corporate and Government within the country. The institute studies competition and its implications for
company strategy; the competitiveness of nations, regions & cities; suggests and provides solutions for social problems. IFC, India brings out India City
Competitiveness Report, India State Competitiveness Report, India Economic Quarterly, Journal of Competitiveness and funds academic research in the area
of strategy & competitiveness. To know more about the institute write to us at info@competitiveness.in.
1
Agenda
Macroeconomic
Trends in India
Additional
Issues
Strategizing
for India
5.4
33.1
61.5
World GDP in 1990
Agriculture Value Added as a Percentage of GDP Industry Value Added as a Percentage of GDP Services Value Added as a Percentage of GDP
8.8
38.2
53.0
World GDP in 1970
2.8
25.4
71.8
World GDP in 2009
GDP over the years
Source: WDI and Institute for Competitiveness Analysis
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
European Union India China United States Rest of the World
39% in
2010
23% in
2010
9% in
2010
3% in
2010
26% in
2010
GDP and Population in the World Economy
Source: World Bank dataset , Institute of Competitiveness Analysis
19.6% of the world
population and 9. 38%
of world GDP
China
India17.1 % of the world
population and
2.73% of world GDP
0.90% of the world
population and 3.56%
of world GDP
United Kingdom
United States of
America
4.5% of the world
population and 23.11
% of world GDP
Japan
1.86 % of the world
population and 8.65%
of world GDP
Geopolitical Hotspots
China
India
Cross-strait
relations
Offshore Oil reserves
Kashmir Conflict Tibet Conflict
Source: Deutche, Institute for Competitiveness Analysis
Agriculture and Allied
Industry
Manufacturing
Services
ConstructionTransport, Storage & Communication
Finance, Business & Real Estate Services
Community and Personal Services
-10
-8
-6
-4
-2
0
2
4
6
8
10
-10 0 10 20 30 40 50 60
%ChangeintheContributiontoGDP(1994-2000)
Percentage Contribution in GDP (2000)
Structural shift in Indian Economy (1994-2000)
Institute for competitiveness Analysis
Agriculture and Allied
Industry
Manufacturing
Electricity, Gas and Water Supply
Services
Construction
Transport, Storage & Communication
Finance, Business & Real Estate Services
Community and Personal Services
-15
-10
-5
0
5
10
15
-10 0 10 20 30 40 50 60 70
(%changeincontribution2000-2010)
Percenatge Contribution in GDP (2010)
Structural shift in Indian Economy (2000-2010)
Institute for competitiveness Analysis
Macro Economic Trends in India – The Big Idea
Opportunities in India India versus Bharat
Base of
the
Pyramid
The
Indian
Middle
Class
Factor
Conditions
Demand
Conditions
The rural
and the
urban
India
The Big Idea
Diamond for India
Context for Firm
Strategy and
Rivalry
Related and
Supporting
Industries
Demand
Conditions
- Local rules and incentives that encourage
investment and productivity e.g.
- Tax laws could be made easy
- Cost competitive salaries
- Robust banking support
- IP protection is weak as of now but is slated
to be better in the coming future.
- SEZ’s and Cities along the proposed
corridors could look at long term growth.
- Vigorous local competition in some sectors
but certain sectors do not have competition.
- Companies increasingly becoming
sophisticated
- Local availability of suppliers and
supporting industries
- MSME Sector has been particularly
good in India
- Focus should be on quality
- Presence of clusters instead of isolated
firms
- Presently some 380 clusters are present
in India
- A huge Consumption Driven Middle
Class (estimated by NCAER at 160
Million slated to rise to 267 Million by
2017.
- Often quality, environmental and
safety norms are flouted at the cluster
level.
- CCI has recently been formed by the
CCI act.
- Online trade is bound to pick up as
internet users rise from 130 million to
180 million in the near future
- Entry of global majors like IKEA etc.
into Indian Market will change the
dynamics of competition
- Access to high quality business
inputs
- Biggest producer of
Tea, Coffee, Jute, Cotton and
sponge iron. Second largest
producer of wheat and largest
producer of pulses.
- 1.2 Billion People, but low female
participation in workforce remains a
challenge.
- Stable monetary and fiscal scenario
- Education is also seen as a key
enabler
- Improvement in Physical
infrastructure-
Roads, Ports, Airports, Railways.
- Has good higher institutions but is
not able to produce quality research
and scientific output.
Factor
Conditions
Income Levels
Income Distribution
Rich
Consumers
ClimbersAspirants
Destitute
McKinsey Global
Institute: The “ Bird of
Gold”: The Rise of
India’s Consumer
Market, May 2007.p.12
Share of population in each income
bracket %millions of people
Household income brackets
thousand, Indian rupees, 2000
100%
755 928 1,107 1,278 1,429
Global{>100}
Strivers (500-1,000)
Seekers (200-500)
Aspirers (90-200)
Deprived (<90)
Middle
class
93
80
54
35
22
6
18
41
43
36
1 2 4
19
32
0 0 1 1
9
0 0 0
1
2
1985 1995 2005E 2015F 2025F
India will see further reduction in poverty and growth of its middle
class
The Ageing Population
Demographic Dividend Demographic Burden
Understanding the Demographic Opportunity
Stage 1
Stage 2
Demographic
Window of
Opportunity
Stage 3
Population
Ageing
The Second
Opportunity
Demographics
55328
58396
59500
59529
59176
60113
61859
60313
51965
43702
37704
32968
28268
22185
15820
9937
8412
49256
51790
52734
52739
52410
55998
56739
54219
46466
41361
38267
34124
28651
21982
15819
10644
11465
80000 60000 40000 20000 0 20000 40000 60000 80000
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80+
Projected Population of males / females in Thousands
Age Pyramid for India in 2026
Male
Female
Source : Expert group on Population 2006
Education: Undereducated, Employability etc
Source: USPTO
PATENTS OVER THE YEARS
RESEARCHERS IN R AND D PER MILLION PEOPLE
NOTE: The data used is last year data or thelatest year available data
Source: World Bank, Institute of Competitiveness Analysis
696
4335
1199
3780
136
3091
396
3794
4673
1270
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
Brazil Canada China Germany India Russian
Federation
South Africa United
Kingdom
United States World
Traffic Jams and Healthcare
Urbanization in India
Aspiring India
Advent of Urbanizations - Some Fast Facts
590 million people
living in cities, nearly
twice the population
of the US today
68 cities will have
population of 1 million
plus, up from 42
today; Europe has 35
today
Institute for Competitiveness, India
SNAPSHOT OF URBAN INDIA IN 2011
10 - 30 million
5 - 10 million
1 - 5 million
0.1 – 1 million
Cities Size Class By Population
Source:- India Urban Conference 2011: Evidence & Experience - IIHS
Jugaad Urbanism
Urbanization
A Closer Look at India
Town Class Population Number of Towns
Class I 1,00,000 and above 423
Class II 50,000 – 99,999 498
Class III 20,000 – 49,999 1,386
Class IV 10,000 – 19,999 1,560
Class V 5,000 – 9,999 1,057
Class IV Less than 5,000 110
Total no. of towns 5,034
1mn + : 27 0.5mn – 1.0mn :42 0.1mn -0.5mn: 354
Source: MART
A Closer Look at Rural India
Population No. of Villages % of Total Villages
Less than 200 92,541 15.6
200- 500 1,27,054 21.4
501- 1,000 1,44,817 24.4
1,001 -2,000 1,29,662 21.9
2,001 – 5,000 80,313 13.5
More than 5,000 18,758 03.2
Total no of Villages* 5,93,145 100.0
*The Total number of villages includes uninhabited ones adds up to 6,38,365
Source : MART
The States in India
Stages of the Economy – Indian Context
Factor-driven economies: Factor-driven economies focus on low-cost
basic factor conditions, such as low-skilled labour, natural resources
and geographic location. Factor-driven economies need to focus on
input costs, macro, political and legal stability, efficient basic
infrastructure and lowering the regulatory cost of doing business.
Investment-driven economies: Investment-driven economies would
have the ability to produce standard products and services of high
quality using efficient methods but at lower wages than advanced
economies. Investment-driven economies need to focus on building
efficiencies, enhancing local competition, market
openness, incentives and rules for encouraging productivity.
Innovation-driven economies: Innovation driven economies would
focus on innovative products and services at the global technology
frontier. Innovation driven economies would need to focus on
advanced skills, advanced infrastructure, incentives and rules
encouraging innovation.
Stage 1
Stage 2
Stage 3
Prosperity in India
Highly Productive and Prosperity
Rising versus India
Andhra Pradesh
Arunachal Pradesh
Assam
Bihar
Chhattisgarh
Delhi
Goa
Gujarat
Haryana
Himachal Pradesh
Jammu & Kashmir Jharkhand
Karnataka
Kerala
Madhya Pradesh
Maharashtra
Manipur
Meghalaya
Mizoram
Nagaland
Orissa
Punjab
Rajasthan
Sikkim
Tamil Nadu
Tripura
Uttar Pradesh
Uttarakhand
West Bengal
0
20000
40000
60000
80000
100000
120000
140000
0 2 4 6 8 10 12 14 16
Gross Domestic Product per Capita CAGR rate, 2008-2010
High but declining versus India
Low and declining versus India Low but rising versus India
High and rising versus India
All
India
Avera
ge
57.28
Index
Points
All India GSDP /Capita
rate (CAGR) of 8.36 %
All India Average
of 46,836
Rupees/capita
GrossDomesticProductperCapita,2010
Country Equivalents
Source: Economist Intelligence Unit, National Statistics
State Competitiveness Report 2011
© Institute for Competitiveness, India
The State Competitiveness Report
• The report incorporates hard data rather
than soft data such as executive opinion
surveys, etc., which might introduce
sampling errors and bias.
• The hard data allows a more correct
assessment of competitiveness ranking
with mapping of incremental or quantum
changes in values of input indicators.
• From an execution and policy formulation
perspective, this approach provides clarity
to the choice of relatively important
indicators; a virtual Pole Star for those keen
to enhance competitiveness.
erchunkofworking-agepeople,whocan
contributetotheGDPandgeneratehigh-
eroutput percapita.
Infact,theInternational Labour Orga-
nization (ILO) hasstated that Indiawill
account for thehighest workingagepop-
among several others, that is dragging
downtheeconomicgrowthof relatively
affluent states like Maharashtra, Kar-
natakaandTamil Nadu.Yet,afew states
such asBihar, AndhraPradesh andGu-
jarat with largepopulationsareexhibit-
force,which
moreproduc
Group 2: Sta
population gr
garh, Delhi, H
cusonsector
POLICIESTHATMAKEPRODUCTIVEUSEOFAVAILABLERESOURCESAR
Chandigarh
Delhi
Uttarakhand
Haryana
Gujarat
Bihar
Chhattisgarh
Sikkim
Nagaland
Himachal Pradesh
5.05
3.11
1.59
1.98
1.64
1.86
1.76
1.58
4.89
1.59
Population
growth rates
areHIGHER
than national
average
Population
growth rates
areLOWER
than national
average
GDP
(India avg 7.99)State
Population
growth rate
(India avg 1.55)
13.12
11.86
11.8
11.69
10.8
10.83
9.78
9.6
9.54
8.88
AndhraPradesh
Orissa
Meghalaya
Tripura
Arunachal Pradesh
Kerala
0.99
1.07
1.39
0.99
1.27
0.77
9.52
9.37
8.05
8.4
8.79
9.55
PEOPLEPOWER
States contributing to India’s GDPgrowth
(GDPgrowth higher than national average)
Population size vs GDPgrowth rate
14
12
10
8
CH
GO
TR
MGHP
DL
HRUK
SK CG KR
ORAR
NL
TN
AP
BR
KA RJ
WB
MH
GJ
populationtogrow
POLICYTHEECONOMICTIMESON SATURDAYMUMBAI 27 NOVEMBER2010 * 9
erchunkofworking-agepeople,whocan
contributetotheGDPandgeneratehigh-
eroutput percapita.
Infact,theInternational Labour Orga-
nization (ILO) hasstated that Indiawill
account for thehighest workingagepop-
ulationinthenext10years,inareport re-
leasedrecently.Inthedocumentprepared
for the G-20 Summit held earlier this
month inSeoul,theILOsaysthat theG-
20nationswill seetheirworkingagepop-
ulationbetween15and64yearsincrease
by 212million in theperiod2010-2020.
Over64%ofthisincreasewilloccurinIn-
diaalone!
Thismonth’sIFCIndiaStateDevelopment
Barometer takesasharplookat what pop-
ulation really means to the economic
growthofIndia’sstatesandanalyseshow
statescanusetheirdemographicsituation
to improve their competitiveness, and
hence,enhancetheir prosperity.
Rising stars among states
ItiswidelyacceptedthatgrowthamongIn-
dianstatesisskewed,withsomeprosper-
ousstatesbearingtheburden of growth,
among several others, that is dragging
downtheeconomicgrowthof relatively
affluent states like Maharashtra, Kar-
natakaandTamil Nadu.Yet,afew states
such asBihar, AndhraPradesh andGu-
jarat with largepopulationsareexhibit-
inghighGDPgrowth.
Noburdenoneconomic growth
SixteenstatesinIndiahaveaGDPgrowth
higher than the national average. Of
these, ten states show a population
growth ratehigher thanthenational av-
erage,whilesixother stateshaveapopu-
lationgrowthratelower thanthenation-
al average.
Population growth, considered abur-
den toeconomicgrowth, seemstohave
littlecorrelation withGDPgrowth(corre-
lation=0.24). LargestatessuchasBihar,
for instance,haveshowedsustainedGDP
growth over the decade along with a
steadilyrisingpopulation,whereasstates
suchasPunjabandManipur withslower
population increase are showing GDP
growth ratesthat arelower than thena-
tional average.
force,whicharealsocorrespondingly far
moreproductive.
Group 2: States with healthy GDP and
population growthrates,suchasChandi-
garh, Delhi, HaryanaandBihar must fo-
cusonsectorswheretheyareinherently
competitive because of the presence of
natural resourcesor traditional skillsand
knowledge.Thesestatesshouldfindways
to turn the availability of alarge work-
forcein their favour by offeringsuitable
educationpoliciesandopportunities. Set-
ting the right priorities iscritical to en-
hancecompetitivenessforthisbandofIn-
dianstates.
Group3:Anumber of statessuch asKar-
nataka, West Bengal, Rajasthan, Tamil
Nadu andMizoramareperformingonly
slightly below India’s average GDP
growthrate.Thesestatescanquicklycat-
apult themselvesintoGroup2withafo-
cusedeffort onproductivity.
Group4:Aroadmapfor enhancingcom-
petitivenessiscritical for poorlyperform-
ingstates.Amongthese,statessuchasUt-
tar Pradesh and Madhya Pradesh with
largeandgrowingpopulationsmust con-
P
l
w
G
d
f
m
n
gatenetgovernment de
trillion —44%ofworld
—in2015.Advancede
Prasadestimatesther
vancedeconomieswill
ther to85%in2015.In
better.Thecorrespondi
26%respectively.In20
grossdomesticproduct
debt.By2015,theyare
account for just 14%o
shareinworldGDP,thei
Toput that moregraph
nal rather thanborrowe
Thishastwo major
theywill beabletousem
purposesrather thanfo
or repayment. Two, the
wheresucceedinggene
lier generationswill be
advancedeconomies. A
pendencyratio—read
group—andclearly,th
Thisisgraphicallybr
withtheriseinGDP.EM
levelsfrom2007to201
2010 to2015. In contr
over thesetwoperiods
Averagedebt percapita
rose to $29,100 in 201
$41,000in2015.By20
$48,000 per person. T
$75,900,thehighest in
bejust $1,200in2015.
S
ind
THEEXPLOS
SERIOUSLO
POLICIESTHATMAKEPRODUCTIVEUSEOFAVAILABLERESOURCESARECRITICAL
ARINDAM
INDIA
Source: IMFFiscal Monitor,
ILOEconomically-ActivePo
DEBTBURDE
Grossdebt to GDP(
Grossdebt
(USdollarsinbillions
Grossdebt per
capita(USdollars)
Grossdebt per
working-age
person (USdollars)
Chandigarh
Delhi
Uttarakhand
Haryana
Gujarat
Bihar
Chhattisgarh
Sikkim
Nagaland
Himachal Pradesh
5.05
3.11
1.59
1.98
1.64
1.86
1.76
1.58
4.89
1.59
Population
growth rates
areHIGHER
than national
average
Population
growth rates
areLOWER
than national
average
GDP
(India avg 7.99)State
Population
growth rate
(India avg 1.55)
13.12
11.86
11.8
11.69
10.8
10.83
9.78
9.6
9.54
8.88
AndhraPradesh
Orissa
Meghalaya
Tripura
Arunachal Pradesh
Kerala
0.99
1.07
1.39
0.99
1.27
0.77
9.52
9.37
8.05
8.4
8.79
9.55
PEOPLEPOWER
States contributing to India’s GDPgrowth
(GDPgrowth higher than national average)
Population size vs GDPgrowth rate
Comparison of state population growth and GDPgrowth
0 500 1000
Populationsizeinlakhs
1500 2000 2500
14
12
10
8
6
4
2
0
CH
GO
TR
MG
MZ
HP
JH
PJ
MPAS
AN
MN
JK
PD
DL
HRUK
SK CG KR
ORAR
NL
TN
AP
BR
KA RJ
WB
MH
UP
DL: Delhi
CH: Chandigarh
AS: Assam
NL: Nagaland
TN: Tamil Nadu
BR: Bihar
UP: Uttar Pradesh
AP: AndhraPradesh
0 1 2
Populationgrowth(%)
3 4 5
14
12
10
8
6
4
2
0
AP
TR KR
WB
AS
TN
KR OR
AR
MG
MH
RJ
GO
AN
PD
JH
PJ
JK
UP
MN
MP
SK CG
HP
GJ BR
UK HR DL CH
NL
GJ
MZ
Statescanharnesstheir
populationtogrow
NDIAisatthecentreofthepopulation-versus-
growthdebate.Withtheworld’ssecond-largest
e
n
a
u
l
f
m
2
u
b
O
d
B
u
g
s
t
h
R
I
d
o
w
g
s
a
g
g
f
r
Comparison of state population growth and GDPgrowth
0 500 1000
Populationsizeinlakhs
1500 2000 2500
12
10
8
6
4
2
0
GO
TR
MG
MZ
HP
JH
PJ
MPAS
AN
MN
JK
PD
DL
HRUK
SK CG KR
ORAR
NL
TN
AP
BR
KA RJ
WB
MH
UP
DL: Delhi
CH: Chandigarh
KR: Kerala
TR: Tripura
MG: Meghalaya
PD: Puducherry
KA: Karnataka
WB: West Bengal
AS: Assam
NL: Nagaland
UK: Uttarakhand
HR: Haryana
GJ: Gujarat
CG: Chattisgarh
SK: Sikkim
JH: Jharkhand
TN: Tamil Nadu
BR: Bihar
RJ: Rajasthan
GO: Goa
MZ: Mizoram
PJ: Punjab
MN: Manipur
OR: Orissa
UP: Uttar Pradesh
AP: AndhraPradesh
AR: Arunachal Pradesh
HP: Himachal Pradesh
JK: Jammu&Kashmir
MP: MadhyaPradesh
AN: Andaman &Nicobar Islands
MH: Maharashtra
0 1 2
Populationgrowth(%)
3 4 5
14
12
10
8
6
4
2
0
AP
TR KR
WB
AS
TN
KR OR
AR
MG
MH
RJ
GO
AN
PD
JH
PJ
JK
UP
MN
MP
SK CG
HP
GJ BR
UK HR DL CH
NL
GJ
MZ
JAYEETA
Indian Market is Highly Regional
Uneven Pattern of
Wealth Distribution
Seasonality
Cultures &
Languages
Strategizing for Success in India
Is it an easy
market to
crack
Where
should we
focus
Who are
the
successful
players
Why is India so Complex?
• India is good at resource
maximization
• Indian businesses have a
way of making things
differently and with
minimal resources maybe
because India is a poor
country
Innovation or Ind’ovation
Ind’ovation commonly know
in Hindi as Jugaad is a striking
feature of the Indian business
landscape. It indicates the
ingenuity to achieve results by
out of box thinking, at times
even temporary fixes.
Doing it for India
Creating Unique Business Models
Disaggregation of Sales
Local Mom and Pop Store
How many bidis are sold in a day in India by 502 Pataka
Manufacturing Company?
100,000,000
Indian Culture
How we look at things Collectivism
Karma
The
Concept
of Time
Varies
within
States
India Is
hierarchy
driven
Noticeable lack
of privacy &
importance of
interpersonal
contact
The Basic Idea
Risks for India
EconomicSocietal Geopolitical Environmental Technological
• Overpopulation
• Diseases
• Migration
• Food Shortage
• Religious and
caste problem
• Education
• Rising Fiscal Deficit
• Meeting the
Infrastructure Spending
target
• Inflation
• Inability to Attract FDI
• Policy Lock jam
• Overspending on
Government welfare
Schemes
• Energy Imports
• Labour Market Demand
Supply Mismatch
• Ease of Doing Business
• Rising Inequality
• Liquidity Problem
• Risks of Overexposure
• Poverty
• Overregulation
• Conflicts with
neighboring
countries
• Governance
Failure
• Maoist Insurgency
• Resource
Nationalization
• High Crime Rates
• Failure of
Diplomatic
Conflict
Resolution
• Rising Pollution
Levels
• Mismanaged
Urbanization
• Geophysical
Extraction Resulting
in Destruction
• Extinction of Species
• Extreme Weather
• Nuclear waste
• Cyber Security
• Failure of IP
Regime
• Lack of
Awareness of
Technology
RISKS FACED BT INDIA AT PRESENT IN 2013
RISK MEASUREMENT = LIKELIHOOD OF OCCURENCE * IMPACT
Disparity
• Rich & Poor
• Urban & rural
• Educated &
Uneducated
Development
• Right amount of
regulation
• Allowing business
to create new
methods & new
models
Demography
• 550 million below 25
years
• Health, Nutrition
• Education, Jobs
Indian
Challenges
Source: GOI
INDIA’S MAJOR CHALLENGES
INCLUSIVE BUSINESS MODELS: SOME EXAMPLES IN MANUFACTURING
DOMAIN
CONSERVING
NATURAL
RESOURCES
NURTURING
SKILLS AND
CAPABILITIES
CHANGING PRICE/
PERFORMANCE ENVELOPE
ENHANCING INCOME AND
LIFESYTLE
MARICO
(SAFFLOWER
INITIATIVE)
HUL (SHAKTI)
ITC
E CHOUPAL
FIRST ENERGY
(OORJA STOVE)
JAIN
IRRIGATION
SYSTEMS
TATA
(NANO)
KEGGFARMS
(KUROILER)
Source: Accenture, Quest for Inclusive growth
Corruption and Competitiveness
(Effect on the National Diamond)
Factor Conditions Demand Conditions
Related, Supporting
Industries &
Institutions
Context for Firms
Strategy and Rivalry
• Resource allocation is
skewed; providing goods and
services at below market
price
• Rent seeking behavior by
bureaucracy
• Arbitrary tax for fast track
treatment
• Disincentives for labor to
perform
• High level of Government
intervention
• Degree of regulation a
predictor of corruption
• Collusion and cartelization
• Too much market power to a
few companies (industry
capture)
• Innovation is curtailed
• Manipulation of policy and provide
poor quality services
• Failure of institutional support
• Lower acceptance of established
institutions
• Bureaucratic rigidity
• Weakening institutional foundations
• Poor quality services
• Heightened income disparity
• Consumer interests are
compromised
• Social versus self interest
Thank You

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Norway india competitiveness_doing_business_strategizing_india

  • 1. Doing Business with India: Issues, Perspectives, and Strategies Dr. Amit Kapoor Institute for Competitiveness (IFC), India is an independent, international initiative centred in India, dedicated to enlarging and disseminating the body of research and knowledge on competition and strategy, pioneered over the last 25 years by Professor M.E. Porter of the Institute for Strategy and Competitiveness, Harvard Business School (ISC, HBS), USA. IFC, India works in affiliation with ISC, HBS, USA to offer academic & executive courses, conduct indigenous research and provide advisory services to corporate and Government within the country. The institute studies competition and its implications for company strategy; the competitiveness of nations, regions & cities; suggests and provides solutions for social problems. IFC, India brings out India City Competitiveness Report, India State Competitiveness Report, India Economic Quarterly, Journal of Competitiveness and funds academic research in the area of strategy & competitiveness. To know more about the institute write to us at info@competitiveness.in. 1
  • 3. 5.4 33.1 61.5 World GDP in 1990 Agriculture Value Added as a Percentage of GDP Industry Value Added as a Percentage of GDP Services Value Added as a Percentage of GDP 8.8 38.2 53.0 World GDP in 1970 2.8 25.4 71.8 World GDP in 2009
  • 4. GDP over the years Source: WDI and Institute for Competitiveness Analysis 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 European Union India China United States Rest of the World 39% in 2010 23% in 2010 9% in 2010 3% in 2010 26% in 2010
  • 5. GDP and Population in the World Economy Source: World Bank dataset , Institute of Competitiveness Analysis 19.6% of the world population and 9. 38% of world GDP China India17.1 % of the world population and 2.73% of world GDP 0.90% of the world population and 3.56% of world GDP United Kingdom United States of America 4.5% of the world population and 23.11 % of world GDP Japan 1.86 % of the world population and 8.65% of world GDP
  • 6. Geopolitical Hotspots China India Cross-strait relations Offshore Oil reserves Kashmir Conflict Tibet Conflict Source: Deutche, Institute for Competitiveness Analysis
  • 7. Agriculture and Allied Industry Manufacturing Services ConstructionTransport, Storage & Communication Finance, Business & Real Estate Services Community and Personal Services -10 -8 -6 -4 -2 0 2 4 6 8 10 -10 0 10 20 30 40 50 60 %ChangeintheContributiontoGDP(1994-2000) Percentage Contribution in GDP (2000) Structural shift in Indian Economy (1994-2000) Institute for competitiveness Analysis
  • 8. Agriculture and Allied Industry Manufacturing Electricity, Gas and Water Supply Services Construction Transport, Storage & Communication Finance, Business & Real Estate Services Community and Personal Services -15 -10 -5 0 5 10 15 -10 0 10 20 30 40 50 60 70 (%changeincontribution2000-2010) Percenatge Contribution in GDP (2010) Structural shift in Indian Economy (2000-2010) Institute for competitiveness Analysis
  • 9. Macro Economic Trends in India – The Big Idea Opportunities in India India versus Bharat Base of the Pyramid The Indian Middle Class Factor Conditions Demand Conditions The rural and the urban India The Big Idea
  • 10. Diamond for India Context for Firm Strategy and Rivalry Related and Supporting Industries Demand Conditions - Local rules and incentives that encourage investment and productivity e.g. - Tax laws could be made easy - Cost competitive salaries - Robust banking support - IP protection is weak as of now but is slated to be better in the coming future. - SEZ’s and Cities along the proposed corridors could look at long term growth. - Vigorous local competition in some sectors but certain sectors do not have competition. - Companies increasingly becoming sophisticated - Local availability of suppliers and supporting industries - MSME Sector has been particularly good in India - Focus should be on quality - Presence of clusters instead of isolated firms - Presently some 380 clusters are present in India - A huge Consumption Driven Middle Class (estimated by NCAER at 160 Million slated to rise to 267 Million by 2017. - Often quality, environmental and safety norms are flouted at the cluster level. - CCI has recently been formed by the CCI act. - Online trade is bound to pick up as internet users rise from 130 million to 180 million in the near future - Entry of global majors like IKEA etc. into Indian Market will change the dynamics of competition - Access to high quality business inputs - Biggest producer of Tea, Coffee, Jute, Cotton and sponge iron. Second largest producer of wheat and largest producer of pulses. - 1.2 Billion People, but low female participation in workforce remains a challenge. - Stable monetary and fiscal scenario - Education is also seen as a key enabler - Improvement in Physical infrastructure- Roads, Ports, Airports, Railways. - Has good higher institutions but is not able to produce quality research and scientific output. Factor Conditions
  • 13.
  • 14. McKinsey Global Institute: The “ Bird of Gold”: The Rise of India’s Consumer Market, May 2007.p.12 Share of population in each income bracket %millions of people Household income brackets thousand, Indian rupees, 2000 100% 755 928 1,107 1,278 1,429 Global{>100} Strivers (500-1,000) Seekers (200-500) Aspirers (90-200) Deprived (<90) Middle class 93 80 54 35 22 6 18 41 43 36 1 2 4 19 32 0 0 1 1 9 0 0 0 1 2 1985 1995 2005E 2015F 2025F India will see further reduction in poverty and growth of its middle class
  • 17. Understanding the Demographic Opportunity Stage 1 Stage 2 Demographic Window of Opportunity Stage 3 Population Ageing The Second Opportunity
  • 18. Demographics 55328 58396 59500 59529 59176 60113 61859 60313 51965 43702 37704 32968 28268 22185 15820 9937 8412 49256 51790 52734 52739 52410 55998 56739 54219 46466 41361 38267 34124 28651 21982 15819 10644 11465 80000 60000 40000 20000 0 20000 40000 60000 80000 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80+ Projected Population of males / females in Thousands Age Pyramid for India in 2026 Male Female Source : Expert group on Population 2006
  • 21. RESEARCHERS IN R AND D PER MILLION PEOPLE NOTE: The data used is last year data or thelatest year available data Source: World Bank, Institute of Competitiveness Analysis 696 4335 1199 3780 136 3091 396 3794 4673 1270 0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 Brazil Canada China Germany India Russian Federation South Africa United Kingdom United States World
  • 22. Traffic Jams and Healthcare
  • 23.
  • 25. Aspiring India Advent of Urbanizations - Some Fast Facts 590 million people living in cities, nearly twice the population of the US today 68 cities will have population of 1 million plus, up from 42 today; Europe has 35 today
  • 26. Institute for Competitiveness, India SNAPSHOT OF URBAN INDIA IN 2011 10 - 30 million 5 - 10 million 1 - 5 million 0.1 – 1 million Cities Size Class By Population Source:- India Urban Conference 2011: Evidence & Experience - IIHS
  • 29. A Closer Look at India Town Class Population Number of Towns Class I 1,00,000 and above 423 Class II 50,000 – 99,999 498 Class III 20,000 – 49,999 1,386 Class IV 10,000 – 19,999 1,560 Class V 5,000 – 9,999 1,057 Class IV Less than 5,000 110 Total no. of towns 5,034 1mn + : 27 0.5mn – 1.0mn :42 0.1mn -0.5mn: 354 Source: MART
  • 30. A Closer Look at Rural India Population No. of Villages % of Total Villages Less than 200 92,541 15.6 200- 500 1,27,054 21.4 501- 1,000 1,44,817 24.4 1,001 -2,000 1,29,662 21.9 2,001 – 5,000 80,313 13.5 More than 5,000 18,758 03.2 Total no of Villages* 5,93,145 100.0 *The Total number of villages includes uninhabited ones adds up to 6,38,365 Source : MART
  • 31. The States in India
  • 32. Stages of the Economy – Indian Context Factor-driven economies: Factor-driven economies focus on low-cost basic factor conditions, such as low-skilled labour, natural resources and geographic location. Factor-driven economies need to focus on input costs, macro, political and legal stability, efficient basic infrastructure and lowering the regulatory cost of doing business. Investment-driven economies: Investment-driven economies would have the ability to produce standard products and services of high quality using efficient methods but at lower wages than advanced economies. Investment-driven economies need to focus on building efficiencies, enhancing local competition, market openness, incentives and rules for encouraging productivity. Innovation-driven economies: Innovation driven economies would focus on innovative products and services at the global technology frontier. Innovation driven economies would need to focus on advanced skills, advanced infrastructure, incentives and rules encouraging innovation. Stage 1 Stage 2 Stage 3
  • 33.
  • 34. Prosperity in India Highly Productive and Prosperity Rising versus India Andhra Pradesh Arunachal Pradesh Assam Bihar Chhattisgarh Delhi Goa Gujarat Haryana Himachal Pradesh Jammu & Kashmir Jharkhand Karnataka Kerala Madhya Pradesh Maharashtra Manipur Meghalaya Mizoram Nagaland Orissa Punjab Rajasthan Sikkim Tamil Nadu Tripura Uttar Pradesh Uttarakhand West Bengal 0 20000 40000 60000 80000 100000 120000 140000 0 2 4 6 8 10 12 14 16 Gross Domestic Product per Capita CAGR rate, 2008-2010 High but declining versus India Low and declining versus India Low but rising versus India High and rising versus India All India Avera ge 57.28 Index Points All India GSDP /Capita rate (CAGR) of 8.36 % All India Average of 46,836 Rupees/capita GrossDomesticProductperCapita,2010
  • 35. Country Equivalents Source: Economist Intelligence Unit, National Statistics
  • 36.
  • 37.
  • 38. State Competitiveness Report 2011 © Institute for Competitiveness, India
  • 39. The State Competitiveness Report • The report incorporates hard data rather than soft data such as executive opinion surveys, etc., which might introduce sampling errors and bias. • The hard data allows a more correct assessment of competitiveness ranking with mapping of incremental or quantum changes in values of input indicators. • From an execution and policy formulation perspective, this approach provides clarity to the choice of relatively important indicators; a virtual Pole Star for those keen to enhance competitiveness.
  • 40. erchunkofworking-agepeople,whocan contributetotheGDPandgeneratehigh- eroutput percapita. Infact,theInternational Labour Orga- nization (ILO) hasstated that Indiawill account for thehighest workingagepop- among several others, that is dragging downtheeconomicgrowthof relatively affluent states like Maharashtra, Kar- natakaandTamil Nadu.Yet,afew states such asBihar, AndhraPradesh andGu- jarat with largepopulationsareexhibit- force,which moreproduc Group 2: Sta population gr garh, Delhi, H cusonsector POLICIESTHATMAKEPRODUCTIVEUSEOFAVAILABLERESOURCESAR Chandigarh Delhi Uttarakhand Haryana Gujarat Bihar Chhattisgarh Sikkim Nagaland Himachal Pradesh 5.05 3.11 1.59 1.98 1.64 1.86 1.76 1.58 4.89 1.59 Population growth rates areHIGHER than national average Population growth rates areLOWER than national average GDP (India avg 7.99)State Population growth rate (India avg 1.55) 13.12 11.86 11.8 11.69 10.8 10.83 9.78 9.6 9.54 8.88 AndhraPradesh Orissa Meghalaya Tripura Arunachal Pradesh Kerala 0.99 1.07 1.39 0.99 1.27 0.77 9.52 9.37 8.05 8.4 8.79 9.55 PEOPLEPOWER States contributing to India’s GDPgrowth (GDPgrowth higher than national average) Population size vs GDPgrowth rate 14 12 10 8 CH GO TR MGHP DL HRUK SK CG KR ORAR NL TN AP BR KA RJ WB MH GJ populationtogrow POLICYTHEECONOMICTIMESON SATURDAYMUMBAI 27 NOVEMBER2010 * 9 erchunkofworking-agepeople,whocan contributetotheGDPandgeneratehigh- eroutput percapita. Infact,theInternational Labour Orga- nization (ILO) hasstated that Indiawill account for thehighest workingagepop- ulationinthenext10years,inareport re- leasedrecently.Inthedocumentprepared for the G-20 Summit held earlier this month inSeoul,theILOsaysthat theG- 20nationswill seetheirworkingagepop- ulationbetween15and64yearsincrease by 212million in theperiod2010-2020. Over64%ofthisincreasewilloccurinIn- diaalone! Thismonth’sIFCIndiaStateDevelopment Barometer takesasharplookat what pop- ulation really means to the economic growthofIndia’sstatesandanalyseshow statescanusetheirdemographicsituation to improve their competitiveness, and hence,enhancetheir prosperity. Rising stars among states ItiswidelyacceptedthatgrowthamongIn- dianstatesisskewed,withsomeprosper- ousstatesbearingtheburden of growth, among several others, that is dragging downtheeconomicgrowthof relatively affluent states like Maharashtra, Kar- natakaandTamil Nadu.Yet,afew states such asBihar, AndhraPradesh andGu- jarat with largepopulationsareexhibit- inghighGDPgrowth. Noburdenoneconomic growth SixteenstatesinIndiahaveaGDPgrowth higher than the national average. Of these, ten states show a population growth ratehigher thanthenational av- erage,whilesixother stateshaveapopu- lationgrowthratelower thanthenation- al average. Population growth, considered abur- den toeconomicgrowth, seemstohave littlecorrelation withGDPgrowth(corre- lation=0.24). LargestatessuchasBihar, for instance,haveshowedsustainedGDP growth over the decade along with a steadilyrisingpopulation,whereasstates suchasPunjabandManipur withslower population increase are showing GDP growth ratesthat arelower than thena- tional average. force,whicharealsocorrespondingly far moreproductive. Group 2: States with healthy GDP and population growthrates,suchasChandi- garh, Delhi, HaryanaandBihar must fo- cusonsectorswheretheyareinherently competitive because of the presence of natural resourcesor traditional skillsand knowledge.Thesestatesshouldfindways to turn the availability of alarge work- forcein their favour by offeringsuitable educationpoliciesandopportunities. Set- ting the right priorities iscritical to en- hancecompetitivenessforthisbandofIn- dianstates. Group3:Anumber of statessuch asKar- nataka, West Bengal, Rajasthan, Tamil Nadu andMizoramareperformingonly slightly below India’s average GDP growthrate.Thesestatescanquicklycat- apult themselvesintoGroup2withafo- cusedeffort onproductivity. Group4:Aroadmapfor enhancingcom- petitivenessiscritical for poorlyperform- ingstates.Amongthese,statessuchasUt- tar Pradesh and Madhya Pradesh with largeandgrowingpopulationsmust con- P l w G d f m n gatenetgovernment de trillion —44%ofworld —in2015.Advancede Prasadestimatesther vancedeconomieswill ther to85%in2015.In better.Thecorrespondi 26%respectively.In20 grossdomesticproduct debt.By2015,theyare account for just 14%o shareinworldGDP,thei Toput that moregraph nal rather thanborrowe Thishastwo major theywill beabletousem purposesrather thanfo or repayment. Two, the wheresucceedinggene lier generationswill be advancedeconomies. A pendencyratio—read group—andclearly,th Thisisgraphicallybr withtheriseinGDP.EM levelsfrom2007to201 2010 to2015. In contr over thesetwoperiods Averagedebt percapita rose to $29,100 in 201 $41,000in2015.By20 $48,000 per person. T $75,900,thehighest in bejust $1,200in2015. S ind THEEXPLOS SERIOUSLO POLICIESTHATMAKEPRODUCTIVEUSEOFAVAILABLERESOURCESARECRITICAL ARINDAM INDIA Source: IMFFiscal Monitor, ILOEconomically-ActivePo DEBTBURDE Grossdebt to GDP( Grossdebt (USdollarsinbillions Grossdebt per capita(USdollars) Grossdebt per working-age person (USdollars) Chandigarh Delhi Uttarakhand Haryana Gujarat Bihar Chhattisgarh Sikkim Nagaland Himachal Pradesh 5.05 3.11 1.59 1.98 1.64 1.86 1.76 1.58 4.89 1.59 Population growth rates areHIGHER than national average Population growth rates areLOWER than national average GDP (India avg 7.99)State Population growth rate (India avg 1.55) 13.12 11.86 11.8 11.69 10.8 10.83 9.78 9.6 9.54 8.88 AndhraPradesh Orissa Meghalaya Tripura Arunachal Pradesh Kerala 0.99 1.07 1.39 0.99 1.27 0.77 9.52 9.37 8.05 8.4 8.79 9.55 PEOPLEPOWER States contributing to India’s GDPgrowth (GDPgrowth higher than national average) Population size vs GDPgrowth rate Comparison of state population growth and GDPgrowth 0 500 1000 Populationsizeinlakhs 1500 2000 2500 14 12 10 8 6 4 2 0 CH GO TR MG MZ HP JH PJ MPAS AN MN JK PD DL HRUK SK CG KR ORAR NL TN AP BR KA RJ WB MH UP DL: Delhi CH: Chandigarh AS: Assam NL: Nagaland TN: Tamil Nadu BR: Bihar UP: Uttar Pradesh AP: AndhraPradesh 0 1 2 Populationgrowth(%) 3 4 5 14 12 10 8 6 4 2 0 AP TR KR WB AS TN KR OR AR MG MH RJ GO AN PD JH PJ JK UP MN MP SK CG HP GJ BR UK HR DL CH NL GJ MZ Statescanharnesstheir populationtogrow NDIAisatthecentreofthepopulation-versus- growthdebate.Withtheworld’ssecond-largest e n a u l f m 2 u b O d B u g s t h R I d o w g s a g g f r Comparison of state population growth and GDPgrowth 0 500 1000 Populationsizeinlakhs 1500 2000 2500 12 10 8 6 4 2 0 GO TR MG MZ HP JH PJ MPAS AN MN JK PD DL HRUK SK CG KR ORAR NL TN AP BR KA RJ WB MH UP DL: Delhi CH: Chandigarh KR: Kerala TR: Tripura MG: Meghalaya PD: Puducherry KA: Karnataka WB: West Bengal AS: Assam NL: Nagaland UK: Uttarakhand HR: Haryana GJ: Gujarat CG: Chattisgarh SK: Sikkim JH: Jharkhand TN: Tamil Nadu BR: Bihar RJ: Rajasthan GO: Goa MZ: Mizoram PJ: Punjab MN: Manipur OR: Orissa UP: Uttar Pradesh AP: AndhraPradesh AR: Arunachal Pradesh HP: Himachal Pradesh JK: Jammu&Kashmir MP: MadhyaPradesh AN: Andaman &Nicobar Islands MH: Maharashtra 0 1 2 Populationgrowth(%) 3 4 5 14 12 10 8 6 4 2 0 AP TR KR WB AS TN KR OR AR MG MH RJ GO AN PD JH PJ JK UP MN MP SK CG HP GJ BR UK HR DL CH NL GJ MZ JAYEETA
  • 41.
  • 42.
  • 43.
  • 44. Indian Market is Highly Regional Uneven Pattern of Wealth Distribution Seasonality Cultures & Languages
  • 45. Strategizing for Success in India Is it an easy market to crack Where should we focus Who are the successful players
  • 46. Why is India so Complex? • India is good at resource maximization • Indian businesses have a way of making things differently and with minimal resources maybe because India is a poor country
  • 47. Innovation or Ind’ovation Ind’ovation commonly know in Hindi as Jugaad is a striking feature of the Indian business landscape. It indicates the ingenuity to achieve results by out of box thinking, at times even temporary fixes.
  • 48. Doing it for India
  • 49.
  • 50.
  • 53. Local Mom and Pop Store
  • 54. How many bidis are sold in a day in India by 502 Pataka Manufacturing Company? 100,000,000
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60. Indian Culture How we look at things Collectivism Karma The Concept of Time Varies within States India Is hierarchy driven Noticeable lack of privacy & importance of interpersonal contact The Basic Idea
  • 61. Risks for India EconomicSocietal Geopolitical Environmental Technological • Overpopulation • Diseases • Migration • Food Shortage • Religious and caste problem • Education • Rising Fiscal Deficit • Meeting the Infrastructure Spending target • Inflation • Inability to Attract FDI • Policy Lock jam • Overspending on Government welfare Schemes • Energy Imports • Labour Market Demand Supply Mismatch • Ease of Doing Business • Rising Inequality • Liquidity Problem • Risks of Overexposure • Poverty • Overregulation • Conflicts with neighboring countries • Governance Failure • Maoist Insurgency • Resource Nationalization • High Crime Rates • Failure of Diplomatic Conflict Resolution • Rising Pollution Levels • Mismanaged Urbanization • Geophysical Extraction Resulting in Destruction • Extinction of Species • Extreme Weather • Nuclear waste • Cyber Security • Failure of IP Regime • Lack of Awareness of Technology RISKS FACED BT INDIA AT PRESENT IN 2013 RISK MEASUREMENT = LIKELIHOOD OF OCCURENCE * IMPACT
  • 62. Disparity • Rich & Poor • Urban & rural • Educated & Uneducated Development • Right amount of regulation • Allowing business to create new methods & new models Demography • 550 million below 25 years • Health, Nutrition • Education, Jobs Indian Challenges Source: GOI INDIA’S MAJOR CHALLENGES
  • 63. INCLUSIVE BUSINESS MODELS: SOME EXAMPLES IN MANUFACTURING DOMAIN CONSERVING NATURAL RESOURCES NURTURING SKILLS AND CAPABILITIES CHANGING PRICE/ PERFORMANCE ENVELOPE ENHANCING INCOME AND LIFESYTLE MARICO (SAFFLOWER INITIATIVE) HUL (SHAKTI) ITC E CHOUPAL FIRST ENERGY (OORJA STOVE) JAIN IRRIGATION SYSTEMS TATA (NANO) KEGGFARMS (KUROILER) Source: Accenture, Quest for Inclusive growth
  • 64. Corruption and Competitiveness (Effect on the National Diamond) Factor Conditions Demand Conditions Related, Supporting Industries & Institutions Context for Firms Strategy and Rivalry • Resource allocation is skewed; providing goods and services at below market price • Rent seeking behavior by bureaucracy • Arbitrary tax for fast track treatment • Disincentives for labor to perform • High level of Government intervention • Degree of regulation a predictor of corruption • Collusion and cartelization • Too much market power to a few companies (industry capture) • Innovation is curtailed • Manipulation of policy and provide poor quality services • Failure of institutional support • Lower acceptance of established institutions • Bureaucratic rigidity • Weakening institutional foundations • Poor quality services • Heightened income disparity • Consumer interests are compromised • Social versus self interest