SAGARMALA

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ii Globally, ports have had a significant economic impact Port of long beach ▪ Supports 2% of jobs in State of California Houston ▪ Supports 9% of jobs in State of Texas Port of Rotterdam ▪ Value-added is 3% of Netherland’s GDP Chittagong Export processing zone ▪ Contributes 8% to Bangladesh’s merchandise exports Hsinchu science park ▪ Output is 7% of Taiwan’s GDP Shenzhen ▪ >100x GDP growth in 30 years City of Ulsan ▪ World’s largest automotive and shipbuilding hub Pohang ▪ 1/4 th of total steel production of South Korea Singapore ▪ Houses 5,000 maritime establishments, contributing 7% to country’s GDP Nagoya port ▪ Supports 2% of total jobs in Japan primarily in automotive sector SOURCE: Individual ports’ data
iii Port-led development of China GDP/capita: >USD 2,000 GDP/capita: USD 1,000–2,000 GDP/capita: USD 500–1,000 GDP/capita :
Page 3: SAGARMALA “Building Gateways of G
Page 10 and 11: iv ■ ■ ■ Port led development
Page 12 and 13: vi Hamburg - Le Havre (HLH) range i
Page 14 and 15: viii Steel production follows an in
Page 16 and 17: x Port enabled eco-system of Steel
Page 18 and 19: xii Export-driven production is two
Page 20 and 21: xiv Overview of Shenzhen Key facts
Page 22 and 23: xvi Shenzhen had a substantial impa
Page 25 and 26: Executive summary i
Page 27 and 28: iii Comparative impact of port-led
Page 29 and 30: v Impact from Sagarmala - 2025 INR
Page 31 and 32: vii ■ ■ ■ Comparison of end-t
Page 33 and 34: ix Sagarmala: Port-led development
Page 35 and 36: xi Traffic handled at Indian ports
Page 37 and 38: xiii EXIM and domestic shipping car
Page 39 and 40: xv 6-8 potential new ports based on
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Page 45 and 46: xxi Proposed coastal economic zones
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Page 49 and 50: xxv 40 lakh potential new direct jo
Page 51: xxvii Sagarmala could mobilise inve
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Page 56 and 57: 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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- 99
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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
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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
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150 National waterway - 5 Jharsugud
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152 National Waterway 2 Congested r
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154 - - Key clusters for coastal mo
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156 IB Valley/Taclher to Paradip/Dh
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158 ■ ■ ■ ■ ■ ■ ■ ■
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160 ■ ■
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162
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164 Based on the above analysis we
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166 Location justification for Tela
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168 ■ → → → ■ → → ■
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170 Enabler for increased rail shar
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172 Comparison of carrying a contai
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174 Current and potential critical
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176 ■ ■ ■ ■ ■ ■ ■ ■
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182 Four levers identified for cost
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184 ■ ■ 4. 2. ■ ■ ■ ■
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187 4. Port-led industrialisation S
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189
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191 By 2025, India may face ~15 MMT
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193 Trade balance in 2025 with plan
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195 Potential impact from each powe
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197 Limestone reserve mapping for m
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199 Potential impact from each ceme
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201 Two new proposed steel clusters
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203
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205 MARKET TRENDS Globally, overcap
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207 Foreign exchange earnings throu
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Surface ships Submarine 209 INDIA O
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211 India has a significant share i
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213 Key automotive production clust
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215 India’s auto export competive
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217 Breakdown of value chain cost o
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219 Discrete manufacturing selectio
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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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