Delhi
-
Upload
amit-kapoor -
Category
Documents
-
view
474 -
download
1
description
Transcript of Delhi
STATE PROFILES – DELHI
ECONOMIC CHALLENGE FOR CHIEF MINISTERS IN 2012
Achieving Fiscal Stability
Enhancing State Competitiveness
• Competitiveness is the only way to achieve sustainable job growth, improving incomes and stable public finances
• Creating a clear economic strategy for the state that engages all stakeholders is even more important in times of budget cutting and austerity
4 Major Pillars
12 Sub Indices
350* Indicators
HIERARCHY OF MEASUREMENT OF STATE COMPETITIVENESS INDEX
* Approximate figure
STAGES OF THE ECONOMY
Innovation Driven Economies (Per capita GDP 900 to 1300 USD)
Transition Economies (Per capita GDP 800 to 900 USD)
Investment Driven Economies (Per capita GDP 500 to 800 USD)
Evolving / Changeover Economies (Per capita GDP 400 to 500 USD)
Factor Driven Economies(Per capita GDP < 400 USD)
City States (Per capita GDP>1300 USD)
CategorizationMicroeconomic Competitiveness Ranks
City States (Per capita Incomes >1300 USD)Delhi 1Goa 2Innovation Driven Economies (Per capita Incomes 900 to1300 USD)Haryana 1Maharashtra 2Gujarat 3Kerala 4Transition Economies (Per capita Incomes 800 to 900 USD) Punjab 1Tamil Nadu 2Himachal Pradesh 3Investment Driven Economies (Per capita Incomes 500 to 800 USD)Andhra Pradesh 1Karnataka 2Uttarakhand 3West Bengal 4Chhattisgarh 5Sikkim 6Mizoram 7Meghalaya 8Arunachal Pradesh 9Tripura 10Evolving/ Changeover Economies (Per capita Incomes 400 to 500 USD) Rajasthan 1Jharkhand 2Orissa 3Jammu and Kashmir 4Factor Driven Economies(Per capita Incomes < 500 USD) Bihar 1Madhya Pradesh 2Assam 3Uttar Pradesh 4Manipur 5Nagaland 6
STATES ACCORDING TO CATEGORIZATION
Source: Institute for Competitiveness Analysis
NEAR TERM STATE PROSPERITY PERFORMANCE
0 20000 40000 60000 80000 100000 120000 1400003
4
5
6
7
8
9
4.62350853352568
7.6278484490127
6.73359595768002
8.46647739642783
7.41891476970897
6.09570455287321
5.58039543672937
6.43520792763588
7.95625280603685
6.93926849714979
5.62083153617318
6.25021075613883
5.59124474257295
6.38141428317387
4.9111415621641
4.65695007969728
3.88809123120777
6.381806139708936.48641960630365
5.24640544014614
6.20991726485538
7.88722081959546
5.65571633151618
4.58574703499539
8.29820096470497
7.28711379871985
6.76430960164225
6.28702199982809
5.71650821954235
Gross Domestic Product per Capita, 2011
Gro
ss D
omes
tic P
rodu
ct p
er C
apita
real
gro
wth
rate
, 200
8-20
11
All India Average 57.28 Index Points
All India GSDP /Capita rate (CAGR) of 6.27 %
All India Average of 47,998 Rupees/capita
Highly Productive and Prosperity Rising versus India
High but declining versus India
Low but rising versus India
Low and declining versus India
COMPETITIVENESS: UNDERLYING CONCEPTS
• Competitiveness is the productivity with which a state utilizes its human,
capital, and natural resources
• Productivity determines wages and the standard of living –
Productivity growth determines sustainable economic growth
• Productivity depends on how a state competes, not what industries it
competes in
• Innovation in products and processes is necessary to drive productivity
growth
• Only productive businesses can create wealth and jobs. States compete to
offer the most productive environment for business
• The public and private sectors play different but interrelated roles in creating
a productive economy
DELHI PERFORMANCE SNAPSHOT
Top 33.33% of the states
33.33%-66.67% of the states
66.67% to 100% of the states
Position Trend
Prosperity
Productivity
Labour Mobilization
State of Clusters
Leading ClustersApparels and Related IndustriesMachinery and EquipmentDomestic and Electric IndustriesOther Service Industries
Type of Economy City State
Labour MobilizationPopulation, 2011 Rank: 1• In Delhi
1,67,53,235• % of India
1.38%
Population Growth, GAGR, 2001-2011 Rank: 1• In Delhi
1.92%• In India
1.61%
Employment, 2010 Rank: 1• In Delhi
12905780• % India
4.53%
Employment growth, annual rate, 2000-2010 Rank: 1• In Delhi
1.43%• In India
2.78%
Unemployment, 2010 (Per hundred People) Rank: 1 • In Delhi
28.10• In India
9.39
Change in Unemployment rate, 2000-2010 Rank: 1• In Delhi
319.40 %• In India
41.37
ClustersTotal Number of People employed in all Factory sector Rank: 1• In Delhi
1,21,161• In India
1,15,06,838• State Employment to total India Employment (factory sector) 1.05%
ProductivityGross State Domestic Product per labour force participant, 2011
Rank: 2• In Delhi
Rs 2,62,352.• In India
Rs 1,21,265• State Difference to India
+116.35%
Growth in Gross State Domestic Product Rank: 2
per Labour force participant, 2001-11• In Delhi
8.59%• In India
8.44%
Average Private Wage in 2008-09, Rank:2
• In DelhiRs 59,910
• In IndiaRs 64,741
• State Difference to India-7.46.%
Private Wage Growth, CAGR, 2000-2009 Rank:2
• In Delhi3.46%
• In India4.53%
ProsperityGross State Domestic Product per Capita, 2011 Rank: 2 • In Delhi
Rs. 1,01,333 • In India
Rs. 47,998• State Difference to India +111.40%.
Growth in Gross State Domestic Product per Capita, 2008-11 , (CAGR) Rank: 2
• In Delhi5.28%
• In India 6.28%
DELHI COMPETITIVENESS – OVERALL PERFORMANCE INDICATORS
GSD
P at
cur
rent
pric
e at
fact
or c
ost i
n Ru
pees
Cro
reUNDERSTANDING STATE ECONOMIC PERFORMANCE
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110
20000
40000
60000
80000
100000
120000
140000
160000
180000
20000055
220
6012
5
6502
7
7136
1
7946
8 9205
3
1058
14
1253
81
1443
03
1659
48
1632
54 1753
96
Delhi
Source : Institute for Competitiveness Analysis
GSD
P at
cur
rent
pric
e at
fact
or c
ost i
n Ru
pees
Cro
reCONTRIBUTION OF DELHI’S GSDP TO INDIAN GSDP
Source : Institute for Competitiveness Analysis
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-11
Ratio of Delhi's GSDP to Indian
GDP in Percentage
Terms
3.24 3.35 3.37 3.43 3.37 3.48 3.54 3.61 3.59 3.62 3.27 3.51
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110
1000000
2000000
3000000
4000000
5000000
6000000
Delhi's GDP Indian GDP
WHAT DRIVES STATE PRODUCTIVITY
1. Overall business climate conducive to
growth
2. Stage of Economy (strong clusters)
3. Proper Policy enactment and strong
rule of law
MODEL USED FOR ANALYSIS
Climate for Innovation based
local rivalry
Clusters of Related and Supporting
Industries
Demand Conditions
• Local rules and incentives that encourage investment and productivity e.g.
- salaries,- incentives for capital investments, - intellectual property protection• Vigorous local competition i.e., - Openness to foreign and local competition; - Sophistication of company operations
Local availability of suppliers and supporting industriesPresence of clusters instead of isolated firms
Sophisticated and demanding local customers and needs e.g.,- Strict quality, safety, and environmental standards– Consumer protection laws – Government procurement ofadvanced technology – Early demand for products andServices.
Access to high quality business inputs i.e., - Natural endowments,- Human resources, - Capital availability,- Physical infrastructure,- Administrative infrastructure,- Information infrastructure, - Scientific and technological infrastructure
Factor Conditions
Source: Michael E Porter
IMPROVING PRODUCTIVITY IN BUSINESS ENVIRONMENT
Key Issues for States
• More power in terms of tax sharing with center
• Reduce costs of doing business
• Developing training programs which meet the specific needs of the state
industrial clusters
• Focus on infrastructure investments on the most leveraged areas for
productivity and economic growth
• Implementing policies to support small growth businesses
• Enhancing the state’s skill development and training institutions for the same
• Relentlessly improve of the public education system, the essential
foundation
Nation
Neighboring states
States
City Regions
Rural Regions
GEOGRAPHIC INFLUENCES ON COMPETITIVENESS
• Influence and access federal policies and programs
• Integrate policies and infrastructure with neighbors
• Assist each city area in developing its own strategy
• Connect rural regions with urban areas
CONTRIBUTION OF AGRICULTURE SECTOR TO GSDP G
SDP
at c
urre
nt p
rice
at fa
ctor
cos
t in
Rupe
es C
rore
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-11
Ratio of Agricultural
GSDP in Delhi to the total
GSDP in Delhi in Percentage
terms
1.38 1.36 1.28 1.20 1.10 0.95 0.86 0.77 0.69 0.66 0.65 0.63
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
Source : Institute for Competitiveness Analysis
CONTRIBUTION OF MANUFACTURING SECTOR TO GSDP G
SDP
at c
urre
nt p
rice
at fa
ctor
cos
t in
Rupe
es C
rore
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-11
Ratio of Manufacturing GSDP in Delhi to the
total GSDP in Delhi in
Percentage terms
11.41 10.55 9.90 10.37 9.17 9.46 9.30 9.03 8.92 7.91 8.36 8.26
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
Source : Institute for Competitiveness Analysis
CONTRIBUTION OF SERVICE SECTOR TO GSDP G
SDP
at c
urre
nt p
rice
at fa
ctor
cos
t in
Rupe
es C
rore
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-11
Ratio of Services GSDP in
Delhi to the total GSDP in
Delhi in Percentage
terms
80.36 79.33 80.72 79.94 80.82 78.68 78.64 79.12 78.93 79.88 79.20 79.16
Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
Source : Institute for Competitiveness Analysis
Agriculture, forestry and fishing 1%
Industry20%
Services 79%
COMPOSITION OF DELHI’S ECONOMY
Source : Institute for Competitiveness Analysis
GSD
P in
Rs.
Cro
re
Indian contribution
Delhi’s contribution
Agriculture, forestry and fishing Industry Services 0
500000
1000000
1500000
2000000
2500000
3000000
1100 35447138849
924340
1492375
2549085
COMPOSITION OF DELHI’S ECONOMY
Source : Institute for Competitiveness Analysis
Del
hi /
Nati
onal
GSD
P sh
are
(Per
cent
) ,20
11
Change in contribution of GSDP of Delhi to total Indian GSDP, CAGR (2000-2011)
-20 -15 -10 -5 0 5 10 15 20 250
2
4
6
8
10
12
1170.836
33060.202
9325.90799999992
20450.802
3014.958
4.12 6.41
15926.96
4.51
17128.43610322.358
1339.862
35169
66.756
46003.396
8224.03
COMPOSITION OF DELHI’S ECONOMY IN GREATER DEPTH
STATE PRIVATE WAGE PERFORMANCE
0 2 4 6 8 10 12 140
20000
40000
60000
80000
100000
120000
140000
160000
47742.7664157396
60596.2341858291
53663.3856078301
103729.007699828
72550.5006334112
59909.5394736842
58297.8800507338
62461.5133055243
46191.779078646
19570.5024311183
26329.4422827497
18923.1485006133
68781.4482607744
43090.7565419747
76286.0451624519
139586.529985962
99358.600249465
Chhattisgarh 71478.747999288668090.4093021014
94050.7696279544
53575.9506192379
71120.4374069925
90099.8890122086
47611.9416510846 58416.3773774083
Wage Growth (CAGR), 2001 to 2008
Low and declining versus India Low but rising versus India
Average Wage : Rupees 64,741
Wage Growth rate 4.53%
Aver
age
Wag
es in
Rup
ees
,200
9
Source : Institute for Competitiveness Analysis, Data as of 2010
LABOUR PRODUCTIVITY
5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.000
50000
100000
150000
200000
250000
300000
350000
400000
125040
87249
72275
36279
104840
262352
359998
155348
200316
154452
7423763957
125112
158692
61832
177525
65467
8827296059 99924
90910
164891
80620
117218130463
91669
58151
110569102978
All India Average 57.28 Index Points
All India Average of of 1,21,265 Rupees/Labour force participant
All India Average of 8.44%
GSDP /Labor force participant growth rate(CAGR)
GSD
P at
Cur
rent
Pric
es p
er la
bour
forc
e pa
rtici
pant
, 201
1
High but declining versus India Highly productive and Productivity rising versus India
Low but rising versus India Low and declining versus India
Source : Institute for Competitiveness Analysis
LONG TERM JOB GROWTH
0 0.5 1 1.5 2 2.5 3 3.50
10000000
20000000
30000000
40000000
50000000
60000000
70000000
80000000
90000000
4985906.734781652663784.14608668
10979396.7442656 10088713.7648088
78797263.8629423
26971437.2905054
6685530.46379193940741.204717
40901595.9997301
16281265.2991471
35720008.4147666
12167578.9928477
1148263.887942281430650.18772842 423763.0379165111054166.94627444777515.597114693 544241.771664499
241076.018709201
12890897
23780813.8746064
44179023.0668054
567142.310342655
28506296.4146229
9882711.42859073
32753419.860397
23783536.8581226
12649885.2112901
27887828.0306864
Job growth rate CAGR, 2001-2010
Num
ber o
f Job
s, 2
011
Losing Jobs Gaining Jobs
All India average of 1,62,99,464 Jobs /State
All India Average of 2.05%
Source : Institute for Competitiveness Analysis
-25 -20 -15 -10 -5 0 5 10 150
5
10
15
20
25
30
7.6
7.7 6.1
16.8
Chhattisgarh
28.1
10
8.7
5.9
4.9
27.4
2.9
10.7
7.9
6
7.7
11.7
7.7
7.7
0.8
9.610.5
18
6.36
7.7
8.2
4.9
11.3
Change in Employment rate 1999-2010
Unemployment rate All India Average of 9.39%
All India Average 57.28 Index Points
All India Average of -2.12%
Unemployment Rising
Below average Unemployment
Above Average UnemploymentUne
mpl
oym
ent r
ate
2010
LONG TERM UNEMPLOYMENT RATE
Source : Institute for Competitiveness Analysis, Data as of 2010
NEAR TERM UNEMPLOYMENT RATE
-30 -25 -20 -15 -10 -5 0 5 100
5
10
15
20
25
30
7.67.7
6.1
16.8
Chhattisgarh
28.1
10
8.7
5.94.9
27.4
2.9
10.7
7.9
6
7.7
11.7
7.7 7.7
0.8
9.610.5
18
6.36
7.78.2
4.9
11.3
Change in Employment rate 2008 to 2010
All India Average of 9.39%
All
Indi
a Av
era
ge
57.2
8 In
dex
Poin
tsAll India Average of -6.55%
Une
mpl
oym
ent r
ate
2010
Source : Institute for Competitiveness Analysis, Data as of 2010
GROSS AREA SOWN VERSUS IRRIGATED AREA
10 100 1000 10000 10000010
100
1000
10000
100000
1134971
78706458
2492722208
44
1261
791090169752
3839
283292
96
400
272
118
2391
12224
22655
170
20416
5748
1356712893
2761
5815
Log of Irrigated Area in ‘000 hectares
Log
of a
rea
sow
n in
‘000
hec
tare
s
All India Average 67,41,000 hectares All
India
All India Average 30,03,000 hectares
Source: MOA, Institute for Competitiveness Analysis, Data as of 2010
HEALTHCARE
0 1000 2000 3000 4000 5000 60001
2
3
4
5
6
7
8
9
10
5.39523275790643
4.61626148459957
3.0143854190775
3.36700638440205
3.947114462083313.83804321190171
9.24765992082578
4.62465962833802
3.104949729460113.08113591911593
4.06134790129675
4.43722220432342
4.062943874031093.877781529478913.80545533731578
4.66096487994294
3.86947054193034
2.06737855360012
3.532270741923613.35841817579464
3.7101605403407
3.22632918415725
5.62155199722664
3.25526727985773
3.574221077088053.40822309789499
3.45403006377407
4.48222078567123
4.10557374730155
Perc
enta
ge o
f Tot
al g
over
nmen
t Exp
endi
ture
on
Med
ical
, Hea
lth
and
Sani
tatio
n
Total Government Expenditure on Medical, Health and Sanitation in Crores
All India Average 4.02%
All India
All India Average 1633 Crores
Source: Institute for Competitiveness Analysis
PERCENTAGE OF VILLAGES ELECTRIFIED
Andhra Prad
esh
Arunach
al Prad
eshAssa
mBihar
Chhattisga
rhDelhi
Goa
Gujarat
Haryan
a
Himach
al Prad
esh
Jammu &
Kashmir
Jharkhan
d
Karnata
kaKeral
a
Madhya
Pradesh
Mahara
shtra
Manipur
Meghala
ya
Mizoram
Nagala
ndOris
sa
Punjab
Rajasth
anSik
kim
Tamil N
adu
Tripura
Uttar Prad
esh
Uttarakh
and
West
Bengal
0
20
40
60
80
100
120
100.0
56.8
80.8
61.3
96.9100.0100.099.7100.098.2 98.2
31.1
99.9100.096.4
88.385.8
59.3
80.6
64.4 62.6
100.0
69.2
94.4
100.0
57.2
88.3
96.9 97.3All India Average of 84.96 %
Source: Institute for Competitiveness Analysis
TELEDENSITY
50 70 90 110 130 150 170 190 210 230 2500
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.272727272742743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.2
41863.1333333333
f(x) = 429.333880574923 x + 12630.3922244405R² = 0.388153614577269
Teledensity
GSD
P pe
r Cap
ita
Source: Ministry of telecom, Institute for Competitiveness Analysis
DEBT TO GDP RATIO
AndhraArunachal
AssamBihar
ChattisgarhDelhiGoa
GujaratHaryana
HimachalJammu & Kashmir
JharkhandKarnataka
KeralaMadhya Pradesh
MaharashtraManipur
MeghalyaMizoramNagaland
OrissaPunjab
RajasthanSikkim
Tamil NaduTripura
Uttar PradeshUttaranchal
West Bengal
0 20 40 60 80 100 120
30.1115.9
2839.7
15.213.8
35.532.1
1955.7
70.133.6
24.334.334.4
25.177.4
37.3109.1
59.430.6
35.241.1
80.625.5
42.243.5
41.142.8
Prescribed limit according to WTO for developing
economies
Prescribed limit according to the growth and stability Pact of EU
Source: Institute for Competitiveness Analysis
RURAL POPULATION VERSUS RURAL POPULATION GROWTH RATES
10,000 100,000 1,000,000 10,000,000 100,000,000 1,000,000,000
-10.000
-8.000
-6.000
-4.000
-2.000
0.000
2.000
4.000
0.163
2.082
1.438
2.166
1.648
-7.802
-2.032
0.8870.9571.185
1.820 1.797
0.738
-2.960
1.702
0.989
1.790
2.422
1.686
-1.565
1.1140.733
1.759
-0.533
0.631
0.211
1.653
1.0800.747
Population in Rural areas as per census (provisional Data) in Thousands
Gro
wth
rate
(CAG
R 20
01-2
011)
Source: Census 2011, Institute for Competitiveness Analysis
URBAN POPULATION VERSUS URBAN POPULATION GROWTH RATES
0 10000000 20000000 30000000 40000000 50000000 600000000
2
4
6
8
10
12
3.142118432873313.23939754403892
2.46791404612314
3.05459855270376
3.55618143616157
2.38364949053398
3.05825008262657 3.10965193307033
3.73202880111196
1.46334528648549
3.096904349027562.83800521407566 2.75824734654202
6.7807817768657
2.308011315209172.14678067444074
3.622560570152
2.739659477638322.45364273623232
5.28564311786535
2.403211749494142.315075964321412.59970144367721
9.74508394624667
2.43217405590814
5.82105955338828
2.55939483122321
3.55833923865534
2.6508374196224
Population in Urban areas as per census (provisional Data) in Thousands
Gro
wth
rate
(CAG
R 20
01-2
011)
Source: Census 2011, Institute for Competitiveness Analysis
RURAL AND URBAN POPULATION IN INDIA
0
20,000,000
40,000,000
60,000,000
80,000,000
100,000,000
120,000,000
140,000,000
160,000,000
151,
726
561,
977
313,
446
906,
309
573,
741
822,
132
595,
036
960,
981
688,
704
3,09
1,16
9
3,41
4,10
6
16,3
33,9
16
8,82
1,58
8
5,93
6,53
8
10,3
87,4
36
4,38
8,75
6
7,92
9,29
2
15,9
32,1
71
6,99
6,12
4 25,7
12,8
11
23,5
78,1
75
17,0
80,7
76 34,9
49,7
29
20,0
59,6
66
28,3
53,7
45
29,1
34,0
60
11,7
29,6
09
50,8
27,5
31
44,4
70,4
55
4559
62
5290
37
1069
165
5514
14
1406
861
1899
624
2368
971
2710
051
6167
805
7025
583
9134
820
4193
19
1653
1493
1960
3658
1731
6800
2678
0516
2503
6946
1745
5506
3495
1234
3467
0817
3755
2529 51
5402
36
3718
9229 52
5378
99
5631
1788
6221
3676
9207
5028
6154
5441
1551
1102
2
Urban Population in 2011 Rural Population in 2011
Source: Census 2011, Institute for Competitiveness Analysis
DEMOGRAPHIC PROFILE IN DELHIPo
pula
tion
in N
umbe
rs
Source: Institute for Competitiveness Analysis
0-4 years
5-9 years
10-14 years
15-19 years
20-24 years
25-29 years
30-34 years
35-39 years
40-44 years
45-49 years
50-54 years
55-59 year
60-64 years
65-69 years
70-74 years
75-79 years
80+ years
0
500000
1000000
1500000
2000000
2500000
1465
000
1414
000 16
3500
0
1813
000 20
7200
0
1937
000
1660
000
1482
000
1267
000
1062
000
8350
00
6150
00
4380
00
3010
00
2080
00
1380
00
1070
00
RURAL URBAN AND TOTAL POPULATION
0 10 20 30 40 50 60 70 80 90 1000
20
40
60
80
100
120
84665533
1382611
31169272103804637
25540196
16753235
1457723
60383628
25353081
6856509
1254892632966238
61130704
33387677
72597565
112372972
2721756
2964007
1091014
1980602
41947358
27704236
68621012
607688
72138958
3671032
19958147710116752
91347736
Urb
an P
opul
ation
as
a pe
rcen
tage
of t
otal
Pop
ulati
on
All India Average 32.98%
All
Indi
aAll India Average 67.02%
Source: Census 2011, Institute for Competitiveness Analysis
Rural Population as a percentage of total Population
SEX RATIO VERSUS SEX RATIO GROWTH RATES
850 900 950 1000 1050 1100
-0.4
-0.2
0
0.2
0.4
0.6
0.8
0.151751209857398
0.369937327967928
0.227720116953845
-0.0609909746569603
0.0112887884475166
0.704240098361186
0.350762393684056
0.000527832943442163
0.25740751646115
0.0953377337117089
-0.163038701598239
0.0783445270180261
0.0234098572919006
0.309615234089144
0.150903285133075
0.0488174712958145
0.108736646913643
0.173661337104769
0.51479874087399
0.404576108127941
0.0656294601348195
0.275965266691847
0.0821715251974941
0.168122175299312
0.0861539155463831
0.155850684737491
0.14125756041925
0.00961102188654639
0.157160523740374
All India Average 0.169% CAGR
All
Indi
aAll India Average 940 females/1000 males
CAG
R gr
owth
rate
200
1-11
Sex ratio
Source: Census 2011, Institute for Competitiveness Analysis
LITERACY RATES VERSUS GDP
60 65 70 75 80 85 90 95 1000
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 1576.435444664 x − 73239.0978387493R² = 0.254023415924728
GSD
P p
er c
apita
at c
urre
nt p
rices
201
1
Literacy rate 2011
Source: RBI , Census 2011, Institute for Competitiveness Analysis
REVENUE EXPENDITURE VERSUS REVENUE RECEIPTSRe
venu
e Ex
pend
iture
in R
s. C
rore
s
Revenue Receipts in Rs. Crores
0 20000 40000 60000 80000 100000 1200000
20000
40000
60000
80000
100000
120000
17455.54
12511.18
35107.1332055.12
111660.97
46877.92
15417.4512772.02
43942.72
32862.41
67282.09
33079.9
4060.334722.422913.984301.974381.47
3341.723053.07
20242.58
58014.83
112846.88
5044.78
47788.47
21378
86891.72
56189.23
36219.25
75542.61
All India
All India Average 34757 Rs. Crores
All India Average 34190 Rs. Crores
Source: RBI , Institute for Competitiveness Analysis
LITERACY RATES VERSUS POPULATION
60 65 70 75 80 85 90 95 1000
50000000
100000000
150000000
200000000
250000000
84665533
1382611
31169272
103804637
Chhattisgarh
1457723
60383628
25353081
685650912548926
32966238
61130704
33387677
72597565
112372972
27217562964007 10910141980602
16753235
41947358
27704236
68621012
607688
72138958
3671032
199581477
10116752
91347736
Literacy rates in Percentage terms
All India Average 67232968 People/state
All India
All India Average Literacy level of
77.12%
Source: Census 2011 , Institute for Competitiveness Analysis
0 5000 10000 15000 20000 25000 30000 35000 40000 45000
-5
0
5
10
15
20
4.52210830159938
5.80585290085816
16.0731817030601
15.2468269375791
12.2857461375391
8.1087926950217
5.198450253191775.11547071253451
9.4976925508756
12.944673798886
9.62666799098342
11.0563452577862
12.7633893046095
5.85141280767283
4.71691928703295
2.971883657804232.36589990047718
12.9251199523838
7.63356870969947
-3.0755560476653
17.1128014242258
11.9169125448308
5.36864761269329
11.517502640002
16.3730449903232
14.3436875292484
8.5012624949083
9.93117124701507
13.2815764079908
Outstanding commercial scheduled bank credit to Agriculture in Rs. Crores
All India Average of 9.30 % CAGR growth rate
All India
All India Average of 12,157 Crores/state
CAG
R gr
owth
rate
in A
gric
ultu
re 2
005-
10GROWTH RATE IN AGRICULTURE VERSUS BANK CREDIT TO AGRICULTURE
Source: MOA , Institute for Competitiveness Analysis
PERCENTAGE OF FACTORIES IN OPERATION VERSUS TOTAL NUMBER OF FACTORIES
0 5000 10000 15000 20000 250000
2
4
6
8
10
12
14
16
3.08285163776493
4.33168316831683
2.340374459913592.16078066914498
3.589450633152433.41382181515404
7.51811594202892
3.55555555555556
14.919113241462
7.14285714285714
2.94553233503373
6.81330472103004
1.51515151515152
13.680781758957713.5593220338983
14.6788990825688
13.7106918238994
2.76058342226966
3.93885949441501
0.920810313075506
3.28702134869536
6.15696887686062
8.3470550981634
4.54371410338226
8.7010455431508
6.98330590171644
Total number of factories
Perc
enta
ge o
f fac
tori
es n
ot in
ope
ratio
n
All India Average of 4.1% factories not in operation/state average
All India
All India Average of 6198 Factories/state
Source: ASI , Institute for Competitiveness Analysis, Data as of 2010
SLUM POPULATION GROWTH RATE (2001-2011)
0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00
-5
0
5
10
15
20
25
30
11.1
25.9
16.9
25.1
Chhattisgarh
20.96
8.2
19.219.9
12.8
23.7
22.3
15.7
4.9
20.3
16
18.7
27.8
22.8
-0.5
14 13.7
21.4
12.4
15.614.7
20.119.2
13.9
Percentage Change in the Slum Population
Popu
latio
n D
ecad
al G
row
th R
ate
India’s decadal population growth rate is 17%.
Average change in slum population is 26%.
Source: MOUA, Data as of 2010
50 100 150 200 250 300 350 400 450 500 5500
50
100
150
200
250
300
350
400
450
500
Andhra Pradesh
224
353
Chhattisgarh
464
99
271
353
230
167
214
95
384
336
113
128141
271
366
447
176
453
269
281
SPM Level (Industrial Area)
SPM
Lev
el (R
esid
entia
l)
SPM Level above 140 is considered dangerous for residential areas
SPM Level above 400 is considered dangerous for industrial areas
SPM is Suspended Particulate matter. The above mentioned limits are are prescribed by Central Pollution Control Board (CPCB), India.
POLLUTION
Source: CPCB , Institute for Competitiveness Analysis
AIR POLLUTION
50 100 150 200 250 300 350 400 450 500 5500
50
100
150
200
250
300
350
400
450
500
284
224
353
Chhattisgarh
464
99
271
353
230
167
214
95
384
336
113
128
141
271
366
447
176
453
269
281
SPM Level (Industrial Area)
SPM
Lev
el (R
esid
entia
l)
SPM Level above 140 is considered dangerous for residential areas
SPM Level above 400 is considered dangerous for industrial areas
SPM is Suspended Particulate matter. The above mentioned limits are are prescribed by Central Pollution Control Board (CPCB), India.
CAPITAL OUTLAY BY MAJOR SECTORS
Social service17%
Economic service83%
General economic services0%
Delhi
INDUSTRIES IN DELHI
Stainless Steel Utensils & Cutlery
Chemicals
Electrical Engineering Equipment
Electronic Goods
Leather Products
Mechanical Engineering Equipment
Packaging Material
Wire DrawingMetal Fabrication
Furniture
Electro Plating
Auto Components
Hosiery
Readymade Garments
Sanitary Fittings
Chemicals
Electrical Engineering Equipment
Electronic Goods
Food Products
Mechanical Engineering Equipment
Packaging Material
Packaging Material
Auto Components
Auto Components
Hosiery
Hosiery
SEZ’S IN DELHI
1 IT SEZ in Baprola
1 IT SEZ in Shastri Park 1 Jems and Jewellery SEZ in Baprola
POPULATION PERCENTAGES IN VARIOUS DISTRISTCS OF DELHI
21.8
5.3
13.4
10.20.8
3.5
15.1
13.7
16.3
FACTOR CONDITIONSG
SDP
in R
s. C
rore
Factor Conditions Score
50 52 54 56 58 60 62 64 66 680
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 2567.63207606884 x − 97812.3035810147R² = 0.143109837714404
Source: MOSPI, Institute for Competitiveness Analysis
SUB PILLARS OF FACTOR CONDITIONS - FINANCIAL CONDITIONSG
SDP
in R
s. C
rore
Financial Conditions Score
50 55 60 65 70 750
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 5200.23545909806 x − 249158.282919252R² = 0.750759569558875
Source: MOSPI, Institute for Competitiveness Analysis
SUB PILLARS OF FACTOR CONDITIONS - PHYSICAL CONDITIONS R
oad
len
gth
per
on
e lakh
of
Pop
ula
tion
Physical Conditions Score
45 50 55 60 65 70 75 800
500
1000
1500
2000
2500
264.86
1376.79
782.52
128.3
319.88
1993.19
662.22
258.94
122.98
550.39
198.3
58.09
443.88
605.75
241.12 206.83
698.05
388.89
634.849999999998
1027.36
543.2
169.07
265.72316.92
274.12
908.99
149.63
431.51
243.43
f(x) = 35.8139286923004 x − 1554.58676271273R² = 0.254612150402453
Source: MORTH, Institute for Competitiveness Analysis
SUB PILLARS OF FACTOR CONDITIONS - COMMUNICATION CONDITIONSTe
led
en
sit
y
Communication Conditions Score
45 55 65 75 85 95 1050
50
100
150
200
250
80.64
64.74
45.4648.25
78.1
236.33
78.190.04
87.82
119.59
54.17
78.1
96.81
107.77
53.52
96.5
64.7464.74 64.7464.74
65.45
113.25
71.8
64.74
116.57
64.7460.16
78.179.25
f(x) = 0.878164887828627 x + 32.1970803014184R² = 0.115702963280919
Source: Ministry of Telecom , Institute for Competitiveness Analysis
SUB PILLARS OF FACTOR CONDITIONS – ADMINSTRATIONTo
tal N
um
ber
of
Govern
men
t H
osp
itals
Administration Conditions Score
35 40 45 50 55 60 65 700
200
400
600
800
1000
1200
1400
1600
1800
2000
359
161153
1717
218
130
20
373
15414292
500
919
386 377
765
283820
48
1709
231
475
30
581
31
925
695
294
f(x) = 28.919094403807 x − 1185.0785051709R² = 0.14847769028748
Source: CBHI, Institute for Competitiveness Analysis
SUB PILLARS OF FACTOR CONDITIONS - HUMAN CONDITIONSPo
pula
tion
in th
e ag
e gr
oup
15-6
4 ye
ars
Human Conditions Score
40 45 50 55 60 65 70 75 80 85 900
20000000
40000000
60000000
80000000
100000000
120000000
140000000
58419000
282206.656515119
20117000
59919000
1540700013181000
694191.534626689
39772000
16834000
46240007798000
20259000
40707000
23799000
45073000
75688000
436451.961424117 377658.907983468373508.810093539270448.045826987
27446000
18878000
42260000
58793.0534406497
47139000
480719.672250018
120865000
6357000
61904000
f(x) = 1946159.5356292 x − 84677392.9202145R² = 0.42983680427651
Source: Report on Population , Institute for Competitiveness Analysis
SUB PILLAR OF FACTOR CONDITIONS- INNOVATION RATING
45 50 55 60 65 70 75 80 85 90 9560
65
70
75
80
85
90
95
100
67.6666.95
73.18
63.83
71.04
86.3487.4
73.91
76.64
83.78
68.7467.63
75.6
93.91
70.63
82.11
79.85
75.48
91.58
80.11
73.45
76.68
67.06
82.2
80.33
87.75
69.72
79.63
77.08
f(x) = 0.0172934805648994 x + 75.9176631795427R² = 0.000463719098389048
Lit
era
cy r
ate
Innovation ScoreSource: Census 2011, Institute for Competitiveness Analysis
DEMAND CONDITIONS
30 35 40 45 50 55 60 65 700
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 1048.47076296082 x − 4544.32810032136R² = 0.211509855514709
Lit
era
cy r
ate
Demand ConditionsSource: Census 2011, Institute for Competitiveness Analysis
SUB PILLAR OF DEMAND CONDITIONS- DEMOGRAPHY
30 35 40 45 50 55 60 65 700
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 1048.47076296082 x − 4544.32810032136R² = 0.211509855514709
Per
cap
ita G
SD
P a
t sta
te level
DemographySource: MOSPI, Institute for Competitiveness Analysis
SUB PILLAR OF DEMAND CONDITIONS- INCOME AND CONSUMPTION
Income Distribution
Tota
l num
ber o
f hou
seho
lds
20 30 40 50 60 70 800
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
30,000,000
35,000,000
21,024,534
261,614
6,367,295
18,940,629
5,622,850
3,340,538
322,813
12,181,718
4,717,954
1,476,5812,015,088
6,181,607
13,179,911
7,716,370
14,967,597
23,830,580
507,152 538,299221,077399,965
9,661,085
5,409,699
12,581,303
128,131
18,493,003
842,781
32,924,266
1,997,068
20,067,299
f(x) = 262293.333660285 x − 4803010.30062423R² = 0.143386779228611
Source: Census 2011, Institute for Competitiveness Analysis
SUPPORTING CONDITIONS
50 55 60 65 70 75 800
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
f(x) = 2607.74422982713 x − 109845.110601021R² = 0.654123018898392
GSD
P/ C
apita
Supporting ConditionsSource: MOSPI, Institute for Competitiveness Analysis
SUB PILLAR OF SUPPORTING CONDITIONS- DIVERSITY OF FIRMS
45 50 55 60 65 70 75 800
5000
10000
15000
20000
25000
15790
0
1864 16691478
3312
543
14055
4304
808519
1590
7835
5643
2951
18711
59
66 0109
1862
8332
6005
0
21265
307
10503
900
6077
f(x) = 402.492090453652 x − 18290.6859569574R² = 0.299507985254445
Tota
l num
ber o
f fac
torie
s
Diversity of Firms Index
Source: ASI, Institute for Competitiveness Analysis
SUB PILLAR OF SUPPORTING CONDITIONS - BUSINESS INCENTIVES
55 60 65 70 75 80 85 90 95 1000
200000
400000
600000
800000
1000000
1200000
303338.020666667
1760.2033333333321890.003333333333954.098666666629324.322
449299.126666667
8612.70533333334
188908.448666667
89240.562
14496.47217770.9973333333
26108.1006666667
273055.568
107712.1881534.9913333334
1026256.104
1422.33
1812.268
1900.471308.97266666667
51086.372
109250.996666667112660.936
1820.66
363624.733333334
2636.904
163386.97
17512.33
194420.961333334f(x) = 5370.04633420334 x − 224861.987656489R² = 0.0461479296652255
Out
stan
ding
Sch
edul
ed c
omm
erci
al b
ank
cred
it
Business IncentivesSource : RBI, Institute for Competitiveness Analysis
STRATEGIC CONTEXTG
SDP
per c
apita
Strategic context
45 50 55 60 65 70 750
20000
40000
60000
80000
100000
120000
140000
49149.0181818182
39272.2727272727
29340.2363636364
15494.5090909091
42743.9454545455
101333.490909091
129488.116666667
64639.0121212121
82016.5818181818
58540.4181818182
32532.1833333333
26904.193939394
50993.2909090909
59056.0727272727
25109.1636363636
71389.2545454544
25591.4969696969
39608.769696969637525.0666666666
27510.1428571428
36800.0363636364
63847.7272727272
32881.1454545455
47268.3090909091
54663.793939394
37502.0777777777
23472.1818181818
45407.241863.1333333333
Source: Institute for Competitiveness Analysis
SUB PILLARS OF STRATEGIC CONTEXT – SUPPLIER SOPHISTICATION
45 50 55 60 65 70 75 800
200000
400000
600000
800000
1000000
1200000
1400000
1600000
972634
342836
128662
67447112254 127999
39046
887511
396155
5683840609
148300
641864
336997
217758
1245096
1970 4332
342836
2862
144554
439246
290941342836
1355789
19221
648449
71097
516107
f(x) = 20093.1746578652 x − 805345.331779489R² = 0.206490317670218
Tota
l Num
ber o
f Fac
tory
Wor
kers
Supplier sophisticationSource: ASI, Institute for Competitiveness Analysis
SUB PILLAR OF STRATEGIC CONTEXT- INSTITUTIONAL SUPPORT
Institutional Support Index
Educ
ation
al In
stitu
tions
– U
nive
rsiti
es p
er c
rore
of p
opul
ation
40 45 50 55 60 65 70 75 80 850
10
20
30
40
50
60
3.89768998442376
14.465384696057
1.924972774468391.637691772863673.52385706045482
9.550394296982056.86001387094803
3.974587283824684.73315255057167
7.292340752414976.37504755387035
2.12338453662805
5.23468533913824
2.99511703075359
2.34167633583854
3.64856417609031
7.34819726676454
3.37381119545264
9.16578522365432
5.048969959638533.09912247631901
3.970511946259774.08038284250311
49.3674385539948
6.93106767635873
5.44805929231889
1.90398430611875
13.8384335209561
2.18943576226126
f(x) = 0.980609302873957 x − 49.2643428230167R² = 0.650879870522763
Source: UGC, Institute for Competitiveness Analysis
PROSPERITY AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700
10000
20000
30000
40000
50000
60000
70000
80000
90000
34225
27114
19409
12464
Chhattisgarh
80932
87590
46116
51766
42728
23234 19807
34953
45694
18468
46285
19289
2795825902
18527
23846
40218
24212
32804
39256
26676
15693
3184230124
f(x) = 2486.3946169893 x − 105523.182010099R² = 0.517206221772705
Microeconomic Competitiveness Scores
Per c
apit
a St
ate
Dom
estic
pro
duct
at c
onst
ant p
rice
201
1
POLICE OFFICIALS VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 47 49 51 53 55 57 59 61 63 650
20000
40000
60000
80000
100000
120000
140000
160000
180000
93000
3423
27900
46973
Chhattisgarh
4063
48185
35778
9781
63151
30188
65627
36898
55503
166611
8541588535685637
29085
49031
59680
1985
75244
9648
114433
11453
61716
f(x) = 2830.02498779477 x − 116354.765220695R² = 0.122679000568475
Microeconomic Competitiveness Scores
Num
ber o
f Pol
ice
Offi
cial
s
PORT INFRASTRUCTURE VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
50 55 60 65 70 75 800
10
20
30
40
50
60
12
5
40
13
53
2
15
1
f(x) = 0.225649924684749 x + 2.81446719331649R² = 0.00587108617684906
Microeconomic Competitiveness Score
Num
ber o
f Por
ts
NATIONAL HIGHWAY INFRASTRUCTURE VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700
1000
2000
3000
4000
5000
6000
7000
4472
392
2836
3642
Chhattisgarh
72269
3245
1512
12081245
1805
3843
1457
4670
4176
959810927
494
3704
1557
5585
62
4462
400
5874
1991
2524f(x) = 65.1332906126909 x − 1354.5765342575R² = 0.0355762663002036
Microeconomic Competitiveness Score
Leng
th o
f Tot
al N
ation
al H
ighw
ays,
In K
m
AIRPORT INFRASTRUCTURE VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650
1
2
3
4
5
6
7
8
9
4
0
3
1Chhattisgarh 11
7
1
3
2
1
4
3
4 4
1
1
2
1 1
3
2
0
3
1
2
2
8
f(x) = 0.116841012848905 x − 4.22553033930473R² = 0.0985391538365862
Num
bers
of D
omes
tic A
irpo
rts
Microeconomic Competitiveness Scores
TELEDENSITY VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700
50
100
150
200
70.27
42.5
31.2
50.07
Chhattisgarh
208.9
52.74
76.12 77.5
104.86
8.41 6
24.2
33.2
57.763.8
42.5 42.5 42.5
42.5
22.1
97.9
62.3
17.4 15.7
42.5
49.9
15.5
21.8
f(x) = 4.65025121467647 x − 210.867686013178R² = 0.340309430613794
Microeconomic Competitiveness Scores
Tele
dens
ity
, Pho
nes
per 1
00 p
eopl
e in
the
popu
latio
n
LITERACY RATES VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 6560
65
70
75
80
85
90
95
100
67.6666.95
73.18
63.83
71.04
86.3487.4
73.91
76.64
83.78
68.7467.63
75.6
93.91
70.63
82.11
79.85
75.48
91.58
80.11
73.45
76.68
67.06
82.2
80.33
87.75
69.72
79.63
77.08f(x) = 0.23745019107205 x + 63.6233273719388R² = 0.0230890244406737
Microeconomic Competitiveness Score
Lite
racy
Rat
es
EDUCATION VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650
2000000
4000000
6000000
8000000
10000000
12000000
14000000
16000000
18000000
20000000
9199595
59342400677
2348067
Chhattisgarh 829978
71225
2108448
1384204
398933363433817755
2822455
1370273
3940985
5017347
105168 92304486246631
895963
750877
3055642
18828
3815998
175382
18670953
538493
3359084
f(x) = 89218.1269101837 x − 2805505.52227174R² = 0.0142323688170369
Microeconomic Competitiveness Score
Stud
ents
enr
olle
d in
hig
her s
econ
dary
cla
sses
RURAL TO URBAN LITERACY RATIO VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 7070.00
75.00
80.00
85.00
90.00
95.00
100.00
75.91
72.83
79.2578.51Chhattisgarh
95.65
94.35
83.35
86.77
90.72
83.09
74.91
79.87
97.82
77.64
85.81
89.73
77.90
85.94
84.09
81.87
86.56
77.22
89.42
84.59
91.42
87.72
90.50
85.31f(x) = 0.305008316073137 x + 67.3356524031035R² = 0.0563311710014939
Microeconomic Competitiveness Score
Ratio
of U
rban
to ru
ral l
iter
acy
rate
s in
per
cent
age
term
s
GENDER DISPARITY (LITERACY) VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 7060.00
65.00
70.00
75.00
80.00
85.00
90.00
95.00
100.00
79.06
80.84
85.36
72.67
Chhattisgarh
88.9088.18
81.08
78.20
84.33
74.12
71.65
82.23
95.79
74.53
84.0384.60
95.6195.39
92.08
78.11
87.56
65.41
87.56
85.08
90.20
74.79
80.04
77.85
f(x) = 0.00768116890507336 x + 81.9721733727757R² = 2.51588168754813E-05
Microeconomic Competitiveness Score
Ratio
of F
emal
e Li
tera
cy R
ate
to m
ale
Lite
racy
rate
s
_x0003_0-4
_x0003_5-9
_x0005_10-14
_x0005_15-19
_x0005_20-24
_x0005_25-29
_x0005_30-34
_x0005_35-39
_x0005_40-44
_x0005_45-49
_x0005_50-54
_x0005_55-59
_x0005_60-64
_x0005_65-69
_x0005_70-74
_x0005_75-79
_x0003_80+
80000 60000 40000 20000 0 20000 40000 60000 80000
60746
60092
61318
63479
62281
54078
46050
40596
36773
33218
28157
22391
16693
11991
8910
6075
4469
54133
53394
57259
58248
55757
47877
42855
40164
36691
31993
26038
20447
15712
12406
10034
7017
5163
Age Pyramid for India in 2011
MalesFemale
Population of males / females in Thousands in 2011
DEMOGRAPHICS OF INDIA 2011
Source: Census of India, Institute for Competitiveness Analysis
_x0003_0-4
_x0003_5-9
_x0005_10-14
_x0005_15-19
_x0005_20-24
_x0005_25-29
_x0005_30-34
_x0005_35-39
_x0005_40-44
_x0005_45-49
_x0005_50-54
_x0005_55-59
_x0005_60-64
_x0005_65-69
_x0005_70-74
_x0005_75-79
_x0003_80+
80000 60000 40000 20000 0 20000 40000 60000 80000
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
Age Pyramid for India in 2026
Male Female
Projected Population of males / females in Thousands
DEMOGRAPHICS OF INDIA 2026
Source: Census of India, Institute for Competitiveness Analysis
Andhra Pradesh
Assam
Bihar
Chattisgarh
Delhi
Gujarat
Haryana
Himachal Pradesh
Jammu & Kashmir
Jharkhand
Karnataka
Kerala
Madhya Pradesh
Maharashtra
NE States Excluding Assam
Orissa
Punjab
Rajasthan
Tamil Nadu
Uttar Pradesh
Uttarakhand
West Bengal
80.0 60.0 40.0 20.0 0.0 20.0 40.0 60.0 80.0
45.05
51.97
49.71
57.45
39.96
48.40
51.12
46.91
50.27
55.35
45.97
45.23
60.18
48.85
44.57
48.47
46.62
60.51
43.07
66.11
56.39
44.58
42.49
45.14
47.67
48.40
34.81
43.16
41.24
42.87
43.11
47.13
43.46
45.96
48.37
42.72
42.23
43.43
41.77
46.67
43.78
55.02
47.88
42.35
Dependence Ratios 2011 Dependence ratio 2026
Dependence ratio 2011 Dependence ratio 2026
OVERALL DEPENDENCE RATIO OF STATES
Source: Census of India, Institute for Competitiveness Analysis
GOVERNMENT HOSPITALS VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650
200
400
600
800
1000
1200
1400
1600
1800
359
161 153
1717
Chhattisgarh
130
20
373
154142
92
500
919
386377
765
28 382048
1709
231
475
30
581
31
925
695
294
f(x) = 11.6625248823723 x − 253.380571713428R² = 0.0168977887808635
Microeconomic Competitiveness Score
Num
ber o
f go
vern
men
t Hoi
spit
als
REGISTERED DOCTORS VERSUS COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
4487
445
2103
3979
Chhattisgarh
3629
939
2282
1836
2185
1701
5083
38063662
4520
584 504380314
5079
3545
6285
222
7107
716
6766
1135
8825
f(x) = 158.811520195752 x − 5888.67123002622R² = 0.114375447377846
Microeconomic Competitiveness Scores
Tota
l num
ber o
f re
gist
ered
Allo
path
ic d
octo
rs
PER CAPITA REVENUUE EXPENDITURE ON MEDICAL, HEALTH AND EXPENDITURE AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700.00
500.00
1000.00
1500.00
2000.00
2500.00
436.39
1098.45
551.15
196.53
Chhattisgarh
1238.05
2329.84
372.67
483.97
929.00846.30
214.14
349.55
520.48
346.84374.00
839.80
627.41
1333.16
646.13
292.23
425.61
318.91
1609.06
520.35548.49
240.12
674.68
321.18
f(x) = 6.69646355370972 x + 281.172260081531R² = 0.00494322876233144
Microeconomic Competitiveness Scores
Per c
apit
a re
venu
e ex
peni
ture
on
med
ical
, hea
lth
and
sani
tatio
n
HOUSEHOLDS AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45.00 50.00 55.00 60.00 65.000
5000000
10000000
15000000
20000000
25000000
30000000
35000000
21,024,534
261,614
6,367,295
18,940,629
5,622,850
322,813
12,181,718
4,717,954
1,476,5812,015,088
6,181,607
13,179,911
7,716,370
14,967,597
23,830,580
507,152538,299221,077
399,965
3,340,538
9,661,085
5,409,699
12,581,303
128,131
18,493,003
842,781
32,924,266
1,997,068
20,067,299
f(x) = 371145.931037376 x − 12281342.0148405R² = 0.0453207739242667
Microeconomic Competitiveness Score
Num
ber o
f Hou
seho
lds
in M
illio
ns
AGRICULTURAL GSDP PER CAPITA AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650.00
5000.00
10000.00
15000.00
20000.00
25000.00
12347.30
8365.167707.95
3544.25
Chhattisgarh
656.74
10395.169946.62
16813.45
12243.08
8061.98
2338.53
7240.20
8737.01
6764.89
7843.13
6263.776613.70
5163.39
13079.33
8268.70
21855.81
7689.918132.27
6276.60
7837.13
6519.647001.50
8608.96f(x) = 199.83119189307 x − 2794.91890931174R² = 0.060546362701113
Microeconomic Competitiveness Score
Agr
icul
tura
l G
SDP
per c
apit
a in
Rup
ees
/Ann
um
PER CAPITA FERTILIZER CONSUMPTION AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650
10
20
30
40
50
60
23.2282244062646
0.376100002097481
4.57501862731988
8.7462374151937
13.465832447018
0.0322325807523144
2.49018503515414
20.5552405695133
37.4656634434292
4.839197323302575.80368391685472
0.0118302852754991
16.6235612140178
3.52465372179083
13.749772461376614.9687239739463
1.9068571907254
1.02226479222215
1.878985970849140.348378927215059
7.10128156343005
50.7052423318947
12.6947996628205
8.91584821616082
3.2579394568067
16.0713311085477
11.3178617010677
8.2278995945778
f(x) = 1.04723769096585 x − 48.1097220763482R² = 0.212263036459636
Microeconomic Competitiveness Score
Per c
aipi
ta co
nsum
ption
of N
itrog
enou
s fer
tilize
rs in
Kg
per a
nnum
MANUFACTURING AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 650
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
5430.21255178303
686.735459214487
2891.29349358347
682.662952715686
Chhattisgarh8836.25449055063
46639.8853249593
19883.9813555643
13941.5802494905
6290.15241818638
2006.28215484706
8087.451248354979042.10623846243
4666.22935961271
2445.18829247234
13611.1736904137
1565.76465095818 2184.97369720562
641.60252144641745.924884181839
5306.7860277001
8746.31710953275
4066.47194302526
1584.64650719887
10283.5405523878
1102.44319833204
3144.66731131901
5805.66213345943
4150.88360810606
f(x) = 966.525225315819 x − 47031.9642177853R² = 0.295490224708507
Microeconomic Competitiveness Score
Man
ufac
turi
ng G
SDP
per c
apit
a in
Rup
ees
/Ann
um
SERVICES AND COMPETITIVENESS
Source: Institute for Competitiveness Analysis
45 50 55 60 65 700
10000
20000
30000
40000
50000
60000
70000
80000
90000
23830.8442074848
13332.4625171746
14073.8369934766
8729.01043910014
Chhattisgarh
84579.139252807
57222.4321386466
24877.1747202735
39781.8745053775
22050.0714479239
13090.9656749756
9804.28865839448
26863.2689065711
37117.1820868721
11122.8531517093
41977.5430815631
10327.4699617943
17087.6699458987
25214.9639387457
19471.7811305824
16181.6684616943
29658.5227375818
14138.5717249405
22754.1084679419
28658.8304385174
18821.40322354
10972.020748532
21557.288083500822633.2650287761
f(x) = 2177.67552876506 x − 97701.5650054445R² = 0.463669855488293
Microeconomic Competitiveness Score
Serv
ices
GSD
P pe
r cap
ita
in R
upee
s /A
nnum
Andhra Prad
esh
Arunach
al Prad
eshAssa
mBihar
Chhattisga
rh Goa
Gujarat
Haryan
a
Himach
al Prad
esh
Jammu &
Kashmir
Jharkhan
d
Karnata
kaKera
la
Madhya
Pradesh
Mahara
shtra
Manipur
Meghala
ya
Mizoram
Nagala
nd
Odisha
Punjab
Rajasth
anSik
kim
Tamil N
adu
Tripura
Uttar Prad
esh
Uttarakh
and
West
Benga
l
16.85
0.21 4.94
13.98
4.15 0.289.64
3.53 1.24 1.55 4.8610.23
6.6010.92
19.06
0.40 0.42 0.16 0.337.87
4.279.34
0.10
14.17
0.66
25.76
1.59
15.72
21.02
0.266.37
18.94
5.62 0.32
12.18
4.72 1.48 2.026.18
13.18
7.72
14.97
23.83
0.51 0.54 0.22 0.40
9.66
5.41
12.58
0.13
18.49
0.84
32.92
2.00
20.07
Households in India (in Millions) 2001 and 2011
Andhra Prad
esh
Arunach
al Prad
eshAssa
mBihar
Chhattisga
rh Goa
Gujarat
Haryan
a
Himach
al Prad
esh
Jammu &
Kashmir
Jharkhan
d
Karnata
kaKera
la
Madhya
Pradesh
Mahara
shtra
Manipur
Meghala
ya
Mizoram
Nagala
nd
Odisha
Punjab
Rajasth
anSik
kim
Tamil N
adu
Tripura
Uttar Prad
esh
Uttarakh
and
West
Benga
l
67.254.7
24.9 10.3
53.1
93.680.4 82.9
94.880.7
24.3
78.6 70.2 70.0 77.560.0
42.7
69.6 63.6
26.9
91.9
54.7
77.8 78.2
41.831.9
60.3
37.5
92.2
65.7
37.1
16.4
75.3
96.990.4 90.5
96.885.1
45.8
90.6 94.467.1
83.9
68.460.9
84.2 81.6
43
96.6
67
92.5 93.4
68.4
36.8
87
54.5
Percentage of Households in India 2001 and 2011 having electricity
Percentage of Households having electricity in India 2001 Percentage of Households having electricity in India 2011
HOUSEHOLDS IN INDIA
Source: Census of India,2011 Institute for Competitiveness Analysis
ACCESS TO WATER
Jammu &
Kashmir
Himach
al Prad
esh
Punjab
Uttarakh
and
Haryan
a
Rajasth
an
Uttar Prad
esh Bihar
Sikkim
Arunach
al Prad
esh
Nagala
nd
Manipur
Mizoram
Tripura
Meghala
yaAssa
m
West
Benga
l
Jharkhan
d
Odisha
Chhattisga
rh
Madhya
Pradesh
Gujarat
Mahara
shtra
Andhra Prad
esh
Karnata
ka GoaKera
la
Tamil N
adu
0
10
20
30
40
50
60
70
80
90
100
63.9
89.5
51
68.2 68.8
40.6
27.3
4.4
85.3
65.5
47.2
38.6
58.7
33.2
39.3
10.5
25.4
12.9 13.8
20.723.4
69 67.969.9
66.1
85.4
29.3
79.8
6.5
2.9
0.5
1.1 3
10.8
4
4.3
0.6
5.7
25.7
7.5
4.7
27.4
25.4
18.9
636.5
19.511.4
20
7.114.4
6.49
11.1
62
5.1
11.4
3.6
24.7
2212
25.3 64.9
86.6
0
10.72.2
6.5
0.8
18.12.8
50.250.1
43.8
41.5
58.4
47.1
11.6
9.9
13.7
5.5
0.1
0.5
4.6
1.5
0.7
21.9
212.9
12.2
2.93
0
2.4
4.5
0.4
0.9
16.3
2.6
9.2
16.7
3.5
20
7.2 7.69.6
5.76.9
16
0.3 3.7 8.216.7
3.4 26.7
3.111.1
0.9 1.714.1
15.820.6
47.2
34.8
5.1
29.9
11.3
1.8 3.4 5.2 2.3 2 2.6 2.2 3.2 3.53.2
4.4 2.4
Tap water Well Handpump Tubewell Tank, Pond, Lake, River, Spring, Canal and any other source
Perc
enta
ge b
y so
urce
of h
ouse
hold
s
Source: Census of India,2011 Institute for Competitiveness Analysis
Gujarat 25%
Maharash-tra 21%
Tamil Nadu 9%
Karnataka 5%
Andhra Pradesh
5%
Haryana 3%
Uttar Pradesh
3%
West Bengal 3%
Odisha 3%
Kerala 3%
Delhi 2%
Rajasthan 2%
Punjab 2%
Madhya Pradesh
1%
Goa 1%
Rest of the states11%
Share of Exports from various states in 2010-11
Gujarat
Mahara
shtra
Tamil N
adu
Karnata
ka
Andhra Prad
esh
Haryan
a
Uttar Prad
esh
West
Bengal
Odisha
Kerala
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
4027244667
1854012296 9897 4792 7571 5583 3351 4753
3877543356
16085
9093 85595679 5524 4197 3230 5843
6169453788
23378
1360312567
8584 82087111 6990 6547
Value of Exports from various states
2008-09 2009-10 2010-11
Expo
rts i
n M
illio
ns o
f Dol
lars
EXPORT COMPETITIVENESS
Source: Economic Survey of India 2011, Institute for Competitiveness Analysis
COUNTRY EQUIVALENTS
Source: EIU 2011, Institute for Competitiveness Analysis
BAHAMAS
CUBA
Punjab
Uttar Pradesh
Haryana
Madhya Pradesh
Bihar
Rajasthan
Maharashtra
Gujarat
Jammu and Kashmir
Uttarakhand
Andhra Pradesh
Tamil Nadu
Karnataka
Odisha
West Bengal
Kerala
Chhattisgarh
Jharkhand
Himachal Pradesh
Arunachal Pradesh
Assam
Manipur
Mizoram
MeghalayaNagaland
SikkimDelhi
Goa
ChinaPakistan
Arabian SeaBay of Bengal
Indian OceanSri Lanka
Nepal
Tripura24.6
21.4
9.3
5.4
5.0
3.4
3.3
2.8
2.8
2.6
2.4
2.1
1.6
1.2
0.7
EXPORTS FROM THE TOP 15 STATES PERCENTAGE OF THE TOTAL
Source: Institute for Competitiveness Analysis
Punjab
Uttar Pradesh
Haryana
Madhya Pradesh
Bihar
Rajasthan
Maharashtra
Gujarat
Jammu and Kashmir
Uttarakhand
Andhra Pradesh
Tamil Nadu
Karnataka
Odisha
West Bengal
Kerala
Chhattisgarh
Jharkhand
Himachal Pradesh
Arunachal Pradesh
Assam
Manipur
Mizoram
Meghalaya
Nagaland
SikkimDelhi
Goa
ChinaPakistan
Arabian SeaBay of Bengal
Indian OceanSri Lanka
Nepal
Tripura
3
1
35
4015
22
18
11 364
100
5233
108
88
74
33
21
2
67
317
88
72
00
0
0
NUMBER OF PPP PROJECTS IN INDIA
Source: Institute for Competitiveness Analysis
Punjab
Uttar Pradesh
Haryana
Madhya Pradesh
Bihar
Rajasthan
Maharashtra
Gujarat
Jammu and Kashmir
Uttarakhand
Andhra Pradesh
Tamil Nadu
Karnataka
Odisha
West Bengal
Kerala
Chhattisgarh
Jharkhand
Himachal Pradesh
Arunachal Pradesh
Assam
Manipur
Mizoram
Meghalaya
Nagaland
SikkimDelhi
Goa
ChinaPakistan
Arabian SeaBay of Bengal
Indian OceanSri Lanka
Nepal
Tripura
1.04
0.57
2.29
2.09
16.495.67
1.38
0.84
8.58
3.47
7.55
2.580.24
0.300.09
0.22
0.16
0.11
2.724.99
9.29
0.12
6.002.11
7.00
5.05
2.765.96
POPULATION PERCENTAGES IN STATES
Source: Institute for Competitiveness Analysis
Punjab
Uttar Pradesh
Haryana
Madhya Pradesh
Bihar
Rajasthan
Maharashtra
Gujarat
Jammu and Kashmir
Uttarakhand
Andhra Pradesh
Tamil Nadu
Karnataka
Odisha
West Bengal
Kerala
Chhattisgarh
Jharkhand
Himachal Pradesh
Arunachal Pradesh
Assam
Manipur
Mizoram
MeghalayaNagaland
SikkimDelhi
Goa
ChinaPakistan
Arabian SeaBay of Bengal
Indian OceanSri Lanka
Nepal
Tripura
1788
16521056
945
941
933
872
821
801
713
698
669
650
615
571
553
544
534
529
494
487
474
404
396
394
378
377
320
254
All the figures are in dollars, The exchange rate taken for arriving at the figures was 1 US$ = 49 Rupees
PROSPERITY IN INDIA
Source: Institute for Competitiveness Analysis
STATE OF INDUSTRIES
0 20000 40000 60000 80000 100000 12000010000
100000
1000000
10000000
415770
68842
1729061
1367915
5791480
24225432821656
399736
16399781931929
5831565
1234256
102485
165686
22081
116967
69985
4159125018
712596
3060899
6465654
141029
1245945
732306
5943243
3710227
30241242555405
Contribution in Rs Crores
All India Average of 18,54,826 people employed/ state
All IndiaAll India Average
23816.62 Crores
Source: MSME , Institute for Competitiveness Analysis
CONTRIBUTION PER PERSON IN INDUSTRIES
Jammu &
Kashmir
Himach
al Prad
esh
Punjab
Haryan
a
Uttar Prad
esh
Rajasth
anDelh
i
Uttarakh
and
BiharOris
sa
West
Benga
l
Assam
Meghala
ya
Tripura
Mizoram
Manipur
Nagala
nd
Arunach
al Prad
eshSik
kim
Jharkhan
d
Gujarat
Mahara
shtra Goa
Madhya
Pradesh
Chhattisga
rh
Andhra Prad
esh
Karnata
kaKera
la
Tamil N
adu
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
3.79 3.883.56
3.34
1.411.77
0.30
2.96
0.36
0.760.51 0.55 0.43 0.35
1.37
0.14
1.98
0.62
0.20
0.62
1.26
1.72
5.75
2.27
0.76
0.25
1.20
0.81
2.76
Cont
ribu
tion
in L
akhs
of R
upee
s
Average Contribution of
1.57 Lakhs/Person
Source: MSME 4th round , Institute for Competitiveness Analysis
PER UNIT EMPLOYMENT VERSUS PER UNIT GROSS OUTPUT
Source: MSME, Institute for Competitiveness Analysis
Manufacturing
Services
0.00
200.00
400.00
600.00
800.00
1000.00
1200.00
1400.00
1600.00
1800.00
Per unit employment (Person)
Per unit Gross Output (in Lakhs of Rupees)
Manufacturing Services
Per unit employment (Person) 29.25 33.93
Per unit Gross Output (in Lakhs of Rupees) 1142.66 1682.57
Per unit revenues/ per unit employment 39.07 49.59
MARKET VALUE VERSUS ORIGINAL VALUE OF PLANT AND EQUIPMENT
Source: MSME, Institute for Competitiveness Analysis
Manufacturing
Services
0.00
100.00
200.00
300.00
400.00
500.00
600.00
700.00
800.00
900.00
Market value of Fixed Investments in Crores of RupeesOriginal value of Plant and Machinery/ Equipment in Crores of Rupees
Manufacturing Services
Market value of Fixed Investments in Crores of Rupees 836.89 15.38
Original value of Plant and Machinery/ Equipment in Crores of Rupees 190.63 1.51
No of times valued by the market 4.39 10.19
Top 7 types of Industries in the state
7-14 types of Industries in the state
15-21 types of Industries in the state
21-28 types of Industries in state
STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF FACTORIES
Mining
TextilesApparels and related industries
Publishing and
Printing
Glass and related
industries
Footwear
Lighting Electric
equipment
Minerals
Tobacco
Automotive
Oil and Gas
Medical equipment
Furniture
Other transportat
ion
Leather industries
Wood and Forest
Products
Rubber and Plastic
Industries
Television and allied electronic industries
Processed food
Chemicals
Pulp and Paper
Agricultural Products
Agricultural services
Other Service
Industries
Machinery and
Equipment
Metals
Domestic and electric Industries
Production
Source: ASI 2008-09, Institute for Competitiveness Analysis
STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF EMPLOYEES
Top 7 types of Industries in the state
7-14 types of Industries in the state
15-21 types of Industries in the state
21-28 types of Industries in state
Mining
TextilesApparels and related industries
Publishing and
Printing
Glass and related
industries
Footwear
Lighting Electric
equipment
Minerals
Tobacco
Automotive
Oil and Gas
Medical equipment
Furniture
Other transportat
ion
Leather industries
Wood and Forest
Products
Rubber and Plastic
Industries
Television and allied electronic industries
Processed food
Chemicals
Pulp and Paper
Agricultural Products
Agricultural services
Other Service
Industries
Machinery and
Equipment
Metals
Domestic and electric Industries
Production
Source: ASI 2008-09, Institute for Competitiveness Analysis
STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF PEOPLE
Apparels and related IndustriesMachinery and equipment
Printing and PublishingDomestic and electric industries
Chemicalother service industries
Television and allied electronic industriesLeather Industries
FootwearAutomotive
Agriculture ProductsTextiles
Rubber and Plastic IndustriesLighting and electric equipment
MetalsMedical
Productionother transportation
Food ProcessingPulp and Paper
TobaccoFurnitureMinerals
Glass IndustriesWood and forest Products
Oil and GasMining
Agriculture services
0 10000 20000 30000 40000 50000 60000 70000 80000
7883918091
101709640
727168106448
57795529543653524967
36603520
2678263623112302
1629984909632338181646000
Number of People EmployedSource: ASI 2008-09, Institute for Competitiveness Analysis
CREATING A STATE ECONOMIC STRATEGY
State Value Proposition
Achieving and Maintaining parity with peers
Developing Unique Strengths
What are the main strengths, positive attributes, location advantage etc of the particular state in question.
• How can the state leverage on its unique capabilities and create new ones?
• Which businesses/ clusters can be made stronger?
• What are the key weaknesses which need to be taken care of while forming maintaining parity with peers?
State economic strategy requires setting clear priorities and measuring against predefined criteria.
COMPETITION AMONG STATES
Tactical (Zero Sum Competition)
Strategic (Positive Sum Competition)
• Focus on FDI investments
• Compete in every domain
• Offer tax benefits across the
spectrum
• Provide subsidies to lower / offset
business costs
• Every city and sub-region for itself
• Government is responsible for development of cluster.
• Focus on domestic and existing companies
• Compete in specialized cluster domains• Government incentives and support for
training, infrastructure, and institutions• Improve the efficiency of doing
business• Economies of scale to help benefit from
multiple geographies• Government and the private sector
collaborate to build cluster strength
Source: Michael E Porter
HOW SHOULD STATES COMPETE WITH EACH OTHER
Old Model New Model
Competitiveness is the result of both top-down and bottom-up processes in which many companies and institutions take responsibility
• Government drives economic development through policy decisions and incentives
• Economic development is a collaborative process involving government at multiple levels, companies, teaching and research institutions, and private sector organizations
Source: Michael E Porter
COMPETITION AMONG STATES
• The purpose of a sound economic policy is to increase the overall prosperity in the
state and for that the states should focus on increasing their competitiveness.
• Improvements and productivity and technological advancement are the guiding
principles in this regard.
• Competitiveness requires a fundamental rethinking of usage of your existing
resources.
• For government has to fundamentally rethink its role, it should try to foster a spirit
of entrepreneurship in the private sector.
• The criteria for judging the merits and demerits of an economic policy should be
by outcomes and not political philosophy.
• The prosperity of India will depend largely on the states and not just the (Center)
Delhi.
INTERPRETATION CHARTS
Top 33.33% of the states
33.33%-66.67% of the states
66.67% to 100% of the states
Position Trend
Prosperity
Productivity
Labour Mobilization
State of Clusters
Leading ClustersApparels and Related IndustriesMachinery and EquipmentDomestic and Electric IndustriesOther Service Industries
Type of Economy City State
• The snapshot chart summarizes the relative performance of a state on levels and trends in 5 key
measures. The circles in the chart show the measurement of the chart legend.
• Prosperity: State GDP per capita and 10 year trend.
• Productivity: Average Private wage and 10 year trend.
• Labour Mobilization: Total labour force as a share of civilian population and 10 year trend.
• Clusters: Total number of people employed in the cluster and total number of enterprises in the cluster.
• Type of Economy: Factor Driven economies, Changeover economies, Investment driven economies,
Transition economies, Innovation driven economies and city state economies.
Top 7 types of Industries in the state
7-14 types of Industries in the state
15-21 types of Industries in the state
21-28 types of Industries in the state
The Chart represents the number of factories in various types of Industries in state.
The position of the various types of factories shows relative proximity in terms of type of Industry. Thus, Chemical is placed next to Oil and gas, etc.
The colour coding is done to show the importance of factory sector in terms of number of enterprises in the state. Thus yellow shows the maximum number of industries in the state.
STATE OF CLUSTER DEVELOPMENT : FACTORIES
Mining
TextilesApparels and
related industries
Publishing and
Printing
Glass and related
industries
Footwear
Lighting Electric
equipment
Minerals
Tobacco
Automotive
Oil and Gas
Medical equipmen
t
Furniture
Other transporta
tion
Leather industries
Wood and Forest
Products
Rubber and Plastic Industries
Television and allied electronic industries
Processed food
Chemicals
Pulp and Paper
Agricultural
Products
Agricultural services
Other Service
Industries
Machinery and
Equipment
Metals
Domestic and
electric Industries
Production
Top 7 ranked types of Factories in the state
7-14 ranked types of Factories in the state
15-21 ranked types of Factories in the state
21-28 ranked types of Factories in the state
The Chart represents the number of Employees in various types of Industries in state.
The position of the various types of industries shows relative proximity in terms of type of Industry. Thus, Chemical is placed next to Oil and gas. etc.
The colour coding is done to show the importance of Industries in terms of number of employees in the state. Thus yellow shows the bracket of maximum number of employees in the state.
STATE OF CLUSTER DEVELOPMENT : EMPLOYEES
Mining
TextilesApparels and
related industries
Publishing and
Printing
Glass and related
industries
Footwear
Lighting Electric
equipment
Minerals
Tobacco
Automotive
Oil and Gas
Medical equipmen
t
Furniture
Other transporta
tion
Leather industries
Wood and Forest
Products
Rubber and
Plastic Industries
Television and allied electronic industries
Processed food
Chemicals
Pulp and Paper
Agricultural
Products
Agricultural services
Other Service
Industries
Machinery and
Equipment
Metals
Domestic and
electric Industries
Production
• The economy has been looked at from the primary, secondary and tertiary Perspective. These sectors
are then looked in detail to find the contribution of each sub sector to the three primary sectors namely
Agriculture, Industry and Services.
• The result is a bubble chart which shows the contribution of each sub sector to the economy.
• The size of the bubble represents the size of the GSDP contribution in Rs. Crores.
Strong and Growing Position
Cluster is growing faster than Indian Average
The regions share of cluster GSDP relative to its size
COMPONENTS OF REGIONAL ECONOMIES
Del
hi /
Nati
onal
GSD
P sh
are
(Per
cent
) ,20
11
Change in contribution of GSDP of Delhi to total Indian GSDP, CAGR (2000-2011)
-20 -15 -10 -5 0 5 10 15 20 250
2
4
6
8
10
12
1170.836
33060.202
9325.90799999991
20450.802
3014.958
4.12 6.41
15926.96
4.51
17128.43610322.358
1339.862
35169
66.756
46003.396
8224.03
• Clusters are geographically proximate
groups of interconnected companies and
associated institutions in a particular field.
Examples include chemical and
pharmaceutical clusters in Gujarat and
apparel and diamond cluster in Surat.
Clusters and sub clusters taken for the study
are taken at the end of this report.
• Employment by cluster gives a more
detailed profile of the activities in the state
economy that make up the Job Base. It can
be used to understand the importance of
the health of various groups of Industries
on the overall prosperity of the region.
EMPLOYMENT BY A CLUSTER
Apparels and related Industries
Printing and Publishing
Chemical
Television and allied electronic industries
Footwear
Agriculture Products
Rubber and Plastic Industries
Metals
Production
Food Processing
Tobacco
Minerals
Wood and forest Products
Mining
0 10000 20000 30000 40000 50000 60000 70000 80000
7883918091
101709640
72716810644857795529543653524967
36603520
26782636231123021629984909632338181646000
Number of People Employed
• The political boundaries of a state often encompass many distinct regional economies or portions of
large regional economies. A comprehensive approach to economic development should reflect both
the distinct economies within the state as well as strong linkages to the economies in the neighboring
states. In addition to this clusters should be mapped on areas of high economic growth. This will lead
to spillover effects in the long run.
• A state's or region’s economy can be divided
into 3 components namely
1. Primary/Agriculture sector
2. Secondary/Industry sector
3. Tertiary/Service sector
In this report we focus more on Industrial sector to bring out its components in detail.
GSD
P in
Rs.
Cro
re
A BRIEF NOTE OF THE REGIONS AND OVERALL ECONOMY OF DELHI
Agriculture, forestry and fishing
Industry Services 0
500000
1000000
1500000
2000000
2500000
3000000
1100 35447138849
924340
1492375
2549085
Agricultural products• Grain mill products, starches & starch products and prepared animal foods• Other food products• Beverages
Apparels and related industries• Knitted and crocheted fabrics and articles• Wearing apparel; dressing and dyeing of fur• Wearing apparel, except fur apparel
Agricultural services• Agriculture, hunting, and related services activities
Automotive• Bodies (coach work) for motor
vehicles• Parts and accessories for motor vehicles & their engines
Chemicals• Basic chemicals
Domestic and electric Industries• Domestic appliances• Office, accounting and computing machinery• Electrical machinery and apparatus • Electric motors, generators and transformers• Electricity distribution and control apparatus
Footwear• Footwear
Furniture• Furniture
Glass and related industries• Glass and glass products
Leather industries• Tanning & dressing of leather; luggage, handbags
Medical equipment• Medical, precision and optical instruments, watches & clocks
Metals• Basic Iron & Steel• Basic precious and non-ferrous metals• Casting of metals
Lighting electric equipment• Insulated wire and cable• Accumulators, primary cells and primary batteries• Electric lamps and lighting equipment• Other electrical equipment
Minerals• Minerals
Machinery and equipment• Structural metal products, tanks, reservoirs• Other fabricated metal products• Machinery and equipment • General purpose machinery• Special purpose machinery
Other service industries• Other Service Industries
Mining• Mining and quarrying
Processed food• Manufacture of food products and beverages• Meat, fish, fruit vegetables, oils and fats• Dairy product
Publishing and printing• Publishing• Printing and service activities related to printing
Rubber and plastic industries• Rubber products• Plastic products
Production• Manufacturing
Pulp and Paper• Pulp and Paper Industries
Wood and forest products• Wood and of products• Saw milling and planning of wood• Products of wood, cork, straw and plaiting materials
Textiles• Spinning, weaving and finishing of textiles• Other textiles
Oil and gas• Coke oven products• Refined petroleum products
Tobacco• Tobacco products
Television and allied electronic industries• Electronic valves and tubes and other electronic components• Television and radio transmitters and apparatus• Television and radio receivers
Other transportation• Other transport equipment• Railway and tramway locomotives and rolling stock• Transport equipment
CLUSTERS AND SUB CLUSTERS IN THE INDIAN ECONOMY