SAGARMALA

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172 Comparison of carrying a container from a factory to port at a distance of 1,100 km by road and rail INR/TEU 000’s First mile Price 1 Cost 1 Rail transport Potential savings with increased rail share Road DFC 2 8–10 17 25–27 30–39 Current rail 8–10 23 31–33 7–9 16 7–9 12 23–25 19–21 27–35 Potential volumes of North hinterland, FY25 Cost of transporting with Rail@38% share Cost of transporting with Rail@80% share Price of transporting with Rail@38% share Price of transporting with Rail@80% share 7.7 mn TEUs INR 20–24k cr INR 17–18k cr INR 24–28k cr INR 21–23k cr 1 Does not include ICD/CFS and port handling charges 2 To achieve IRR of 16%, prices can be reduced to 25% assuming cost of building western DFC is INR 48,000 cr at current cost of construction, 25% lesser operating cost due to double stacking, no cross subsidisation and capex amortisation over 30 years SOURCE: Interviews with DFCCIL; transporters
173 Build a true multimodal system by having integrated rail freight charges for first and last mile connectivity Coastal shipping supported by first and last mile connectivity Current – separate charges for first and last mile Integrated charges for first and last leg Railway fare comparison INR per tonne Hazaribagh Talcher to Krishna 445 520 Talcher Haldia Bijapur Krishna Paradip Kakinada Hazaribagh to Bijapur 1,162 1,280
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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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xxiii
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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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81
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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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109
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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
Page 173 and 174: 121 Coal: Non-availability of port
Page 175 and 176: 123 Traffic projection for Paradip
Page 177 and 178: 125 Eastern Hinterland: Kolkata Doc
Page 179: 127 Cargo handled at Haldia and Kol
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Page 184 and 185: 132 Comparison of end-to-end time o
Page 186 and 187: 134 Commodity to mode mapping Road
Page 188 and 189: 136 Current rail network is congest
Page 190 and 191: 138 BAGALKOT (BGK) 93.290 BELGAUM (
Page 192 and 193: 140 Hinterland evacuation is domina
Page 194 and 195: 142 High freight charges making rai
Page 196 and 197: 144 Current crude pipeline network
Page 198 and 199: 146 Current product pipeline networ
Page 200 and 201: 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 ■ ■ ■ ■ ■ ■ ■ ■
Page 212 and 213: 160 ■ ■
Page 214 and 215: 162
Page 216 and 217: 164 Based on the above analysis we
Page 218 and 219: 166 Location justification for Tela
Page 220 and 221: 168 ■ → → → ■ → → ■
Page 222 and 223: 170 Enabler for increased rail shar
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 and 252: 199 Potential impact from each ceme
Page 253 and 254: 201 Two new proposed steel clusters
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Page 257 and 258: 205 MARKET TRENDS Globally, overcap
Page 259 and 260: 207 Foreign exchange earnings throu
Page 261 and 262: Surface ships Submarine 209 INDIA O
Page 263 and 264: 211 India has a significant share i
Page 265 and 266: 213 Key automotive production clust
Page 267 and 268: 215 India’s auto export competive
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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223
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225 Chief purchasing officers plan
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227 Three clusters of cotton produc
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229 World leather exports Raw hides
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231 Leather production centres in I
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233 ■ ■ India lags behind the o
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235 Segment-wise contribution to gl
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237 Processed food cargo flows from
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239 Levels of food processing in In
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241 India’s export basket compris
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243 ■ ■ Potential Impact from e
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245 China has a near monopoly in ex
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247 Furniture cargo flows from Indi
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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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