SAGARMALA

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200 Coastal steel capacity in India Plant sizes < 1 MTPA 2–5 MTPA 1–2 MTPA >5 MTPA Coastal capacity Hazira Dolvi Visakhapatnam Other maritime nations have >20% steel capacity at coastal locations ▪ China (25%) ▪ South Korea (75%) SOURCE: Ministry of steel; VDEH plant facts Coastal steel plants provide logistics cost saving of ~INR 1,000 per tonne Steel logistics cost for serving demand in Chennai INR per tonne 5,250 2 Coking coal (Exporting port to plant) Iron ore (Mine to plant) Steel (Plant to demand centre) Other costs 1 1,920 4,240 890 4,090 870 120 820 450 510 750 2,390 2,390 2,390 80 -1,160 Hinterland capacity Coastal capacity (close to raw material at Paradip/Vizag) Coastal capacity (close to demand centre at Ennore/Chennai) 1 Other cost includes internal logistics cost and logistics cost for other materials such as refractory, spares, etc. 2 Base case logistics cost is estimated as 15% of total steel production cost SOURCE: DGCIS data – 2013-14
201 Two new proposed steel clusters (40 MTPA capacity) that would save the economy annual savings of ~INR 3,500 cr Saving >INR 1,000/tonnes Saving between INR 500–1,000/tonnes Ports Potential steel cluster locations Mundra Pipavav JNPT Goa New Mangalore West Coast Kochi Kolkata Paradip Dhamra Gopalpur Vizag/Gangavaram Gangavaram Kakinada Machilipatnam Krishnapatnam Ennore Karaikal Tuticorin Chennai East Coast Region East coast West coast No. of districts New steel demand over 2015–2025 (mn tonnes) Average saving (INR/ tonnes) Saving from two 20 Total MTPA steel saving cluster (INR cr) (INR cr) 85 22–25 900 2,830 1,800 105 40–42 880 2,640 1760 Total 190 60–65 890 5,470 3,560 Potential Impact from each steel cluster INR 80,000– 85,000 cr Output 1–1.3 lakh Jobs INR 15,000– 20,000 cr INR Exports 1,400– Investment 1 1,600 cr INR 35,000– 40,000 cr Economic impact ~10,000 acre Area required 1 Investment includes only internal roads and provision for water, sewage, electricity and land levelling
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SAGARMALA “Building Gateways of G
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ii Globally, ports have had a signi
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iv ■ ■ ■ Port led development
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vi Hamburg - Le Havre (HLH) range i
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viii Steel production follows an in
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x Port enabled eco-system of Steel
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xii Export-driven production is two
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xiv Overview of Shenzhen Key facts
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xvi Shenzhen had a substantial impa
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Executive summary i
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iii Comparative impact of port-led
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v Impact from Sagarmala - 2025 INR
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vii ■ ■ ■ Comparison of end-t
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ix Sagarmala: Port-led development
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xi Traffic handled at Indian ports
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xiii EXIM and domestic shipping car
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xv 6-8 potential new ports based on
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xvii
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xix
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xxi Proposed coastal economic zones
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xxv 40 lakh potential new direct jo
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xxvii Sagarmala could mobilise inve
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2 -
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4 Demand centres, production and di
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6 Export decision of private player
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8 LPG demand to outpace domestic pr
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10 Even in the best case scenario,
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12 Gas demand may be concentrated i
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14 12
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16 , 10 states account for 80% of c
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18 Demand growth for thermal coal G
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20 Example of optimisation model: N
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22 Key clusters for coastal movemen
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24 Steel production in India MTPA 6
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26 Steel plants 1 relevant for coki
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28 Imported coking coal origin by c
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30 Iron ore movement in India, FY 1
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32 Iron ore import: Source country
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34 Prevalent market conditions make
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36 — —
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38 Almost every major plant has the
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40 Demand and supply of cement A de
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42 Modes used for cement transporta
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44 Plant-wise potential to shift to
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46 Imported finished fertilisers: O
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48 - Methodology snapshot: For each
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50 ■ ■
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52 EXIM container volumes split for
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54 Overview of expected container t
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56 Comparison of end-to-end time of
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59 2. Port modernisation Prominent
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61 Comparison of port-related KPIs
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63 Port-wise capacity utilisation C
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65 State-wise cargo traffic in 2015
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67 EXIM and domestic shipping cargo
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69 Most ports in India characterise
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71 Substantial performance change t
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73 ■ ■ Ports with cape-size han
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75 ■ ■ ■ ■ ■ ■ ■ ■
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77 Traffic forecast for West Bengal
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79 West Bengal cluster: New opportu
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83 Ports in the northern Andhra Pra
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85
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87 ■ ■ ■
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89 Northern TN cluster: New opportu
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91
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93 Kerala cluster: New opportunitie
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95 - Ports in the Karnataka cluster
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97 Mangalore Port: New opportunitie
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101
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103 ■ ■ ■ - - - - ■
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105 Northern Maharashtra: New oppor
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107 Ports in the Saurashtra cluster
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113 New port identification framewo
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115 Traffic projection for Vadhavan
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117 Deviation from main sailing rou
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119 ■ ■ Traffic projection for
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121 Coal: Non-availability of port
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123 Traffic projection for Paradip
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125 Eastern Hinterland: Kolkata Doc
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127 Cargo handled at Haldia and Kol
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130
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132 Comparison of end-to-end time o
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134 Commodity to mode mapping Road
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136 Current rail network is congest
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138 BAGALKOT (BGK) 93.290 BELGAUM (
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140 Hinterland evacuation is domina
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142 High freight charges making rai
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144 Current crude pipeline network
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146 Current product pipeline networ
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148 NW1 is 1,620 km navigable stret
Page 202 and 203: 150 National waterway - 5 Jharsugud
Page 204 and 205: 152 National Waterway 2 Congested r
Page 206 and 207: 154 - - Key clusters for coastal mo
Page 208 and 209: 156 IB Valley/Taclher to Paradip/Dh
Page 210 and 211: 158 ■ ■ ■ ■ ■ ■ ■ ■
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Page 216 and 217: 164 Based on the above analysis we
Page 218 and 219: 166 Location justification for Tela
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Page 222 and 223: 170 Enabler for increased rail shar
Page 224 and 225: 172 Comparison of carrying a contai
Page 226 and 227: 174 Current and potential critical
Page 228 and 229: 176 ■ ■ ■ ■ ■ ■ ■ ■
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Page 234 and 235: 182 Four levers identified for cost
Page 236 and 237: 184 ■ ■ 4. 2. ■ ■ ■ ■
Page 239 and 240: 187 4. Port-led industrialisation S
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Page 243 and 244: 191 By 2025, India may face ~15 MMT
Page 245 and 246: 193 Trade balance in 2025 with plan
Page 247 and 248: 195 Potential impact from each powe
Page 249 and 250: 197 Limestone reserve mapping for m
Page 251: 199 Potential impact from each ceme
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Page 257 and 258: 205 MARKET TRENDS Globally, overcap
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Page 261 and 262: Surface ships Submarine 209 INDIA O
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Page 265 and 266: 213 Key automotive production clust
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Page 269 and 270: 217 Breakdown of value chain cost o
Page 271 and 272: 219 Discrete manufacturing selectio
Page 273 and 274: 221 Scoring of discrete manufacturi
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Page 277 and 278: 225 Chief purchasing officers plan
Page 279 and 280: 227 Three clusters of cotton produc
Page 281 and 282: 229 World leather exports Raw hides
Page 283 and 284: 231 Leather production centres in I
Page 285 and 286: 233 ■ ■ India lags behind the o
Page 287 and 288: 235 Segment-wise contribution to gl
Page 289 and 290: 237 Processed food cargo flows from
Page 291 and 292: 239 Levels of food processing in In
Page 293 and 294: 241 India’s export basket compris
Page 295 and 296: 243 ■ ■ Potential Impact from e
Page 297 and 298: 245 China has a near monopoly in ex
Page 299 and 300: 247 Furniture cargo flows from Indi
Page 301 and 302: 249 Comparison of Indian units in t
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251 Potential Impact from each furn
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253 Indian electronics and IT hardw
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255 Electronics supply chain Silico
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257 Hsinchu science park has grown
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259 Proposed coastal economic zones
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263 5. Coastal community developmen
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265 HDI 2007-08 0.790 Above all-Ind
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273 BPL families % BPL fishermen fa
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277 ■ ■ ■ ■ ■ ■ ■ ■
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279 ■ ■ ■ ‒ ‒ ‒ ‒ ■
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281 Indian islands Oceanic islands
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283 Roadmap for island development
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SAGARMALA

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