INTEGRATED PROTECTED AREA CO-MANAGEMENT (IPAC) - BIDS

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Figure 5.59: Lorenz curve: Gura fish Cumulative income share (%) 100 90 80 70 60 50 40 30 20 10 0 Gini Coefficient = (Area A)/(Area A+ Area B) Line of equality Gura fish Area A Lorenz curve 0 10 20 30 40 50 60 70 80 90 100 Cumulative income decile (%) Area B Gini Coefficient = 0.53 5.3.3 Sada (Large) Fish An average collector of sada (large) fish earns annual income in the range of only Tk 63,311 (but much higher compared to golpata or gura fish), almost progressively followed by Farias/Beparis (Tk 85,407), Choto Mahajans (Tk 89,023), Boro Mahajans (Tk 648,970), Aratdars (271,888), wholesalers (Tk 156,952) and retailers (Tk 127,510) (Table 5.17). Unlike in other products such as golpata and gura fish, Boro Mahajans in the value chain earn the highest amount of income, presumably as they play as Aratdars too. The degree of inequality in the value chain appears to be quite high in that the average annual income earned by a collector, for example, estimates as more than 10 times as less as earned by an Aratdar. In terms of total income aggregated for all actors, only 4.4 percent is due to collectors, followed by Farias/Beparis (5.9%), Choto Mahajans (6.2%), Boro Mahajans (45.0), Aratdars (18.8%), wholesalers (10.9%) and retailers (8.8%) (Figure 5.60). In terms of deciles distribution of income, the distribution appears to be again skewed (Table 5.18). Considering two deciles, representing two extreme actors groups - Decile 1 for the bottom-ranking actors and Decile 10 for the top-ranking actors, the evidence suggests that the top 10 percent (Decile 10) of the actors earn as high as 19 times as much income as the bottom 10 percent (Decile 1) (i.e., 1:19) (See Figures 5.61 and 5.62) . Gini coefficient for Sada (large) fish estimates as 0.44, which is a bit lower compared to most other SRF products. Table 5.17: Annual income level of SRF Actors: sada (large) fish Actors Monthly income Duration (Month) Annual % of total Peak Non-peak Peak Nonpeak Adjusted income income non-peak Collector 6,704 4,997 6.00 5.70 4.620 63,311 4.39 Faria/Bepari 8,404 5,901 7.14 4.86 4.305 85,407 5.92 Choto 10,460 6,799 5.67 5.50 4.370 89,023 6.17 Mahajan Boro 57,500 46,210 7.67 4.50 4.500 648,970 44.97 Mahajan Aratdar 30,867 16,761 6.33 5.67 4.564 271,888 18.84 136
Wholesaler 16,860 9,515 7.00 5.00 4.092 156,952 10.88 Retailer 13,780 8,078 6.33 5.50 4.988 127,519 8.84 Total 144,575 98,261 - - - 1,443,070 100.00 Note: Non-peak months are standardized with corresponding number of days worked. Figure 5.60: Annual income level (%) of SRF Actors: sada (large) fish Annual income level (%) of SRF Actors: Sada (large) fish Wholesaler 11% Retailer 9% Collector 4% Faria/Bepari 6% Choto Mahajan 6% Aratdar 19% Boro Mahajan 45% Table 5.18: Distribution of SRF actors income by product: Sada (large) fish Income decile of actors Percentage share of income Sada fish Decile 1 1.6 Decile 2 2.5 Decile 3 4.3 Decile 4 4.5 Decile 5 7.4 Deciles: 1-5 20.3 Decile 6 7.5 Decile 7 9.1 137
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INTEGRATED PROTECTED AREA CO-MANAGE
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Washington, DC 20036 202-289-0100 F
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money lenders) who were often suspi
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2.1 Profile of SIZ Districts ......
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5.3.6 Shrimp Small (galda and bagda
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Table 3.13: Distance of harvest pla
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Table 5.20: Distribution of SRF act
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Figure 5.1: Basic structure of SRF
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Figure 5.55: Distribution of income
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Acronyms and Abbreviations ACF = As
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Glossary Arat Aratdar Bahaddar Baza
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In particular, the study is expecte
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Characteristics of SRF Actors and P
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The most difficult problem that had
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GDP and Livelihoods Based on availa
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Occupation Pattern of SRF Collector
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Chapter 4: Mapping for Core Steps a
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Nevertheless, the shrimp fry collec
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Crab Chain: Collector ⇒ Mahajan
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Value addition and return for gura
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Value addition and return for hilsh
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Wholesaler 3.1 26.1 19.3 Retailer 1
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Crab Crab collectors provide the hi
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Distribution of Actors Income - Inc
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Shrimp Large (galda and bagda) The
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Majhis/Beparis (9.5 %), Choto Mahaj
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of value chains, in terms of return
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Service Centers and Financial Suppo
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those leased-out canals. There shou
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Infrastructure of web-cam through o
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Chapter 1: Introduction, Study Back
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Although the resource users are bla
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advocates of conservation in return
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1.4.1 Principal Tools Briefly, the
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Shrimps have been divided into four
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In the process of our consultations
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The value chain framework, which is
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The study carries out micro level a
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an idea about possible market power
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Table 1.4: Usual harvest time of SR
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others, occupational pattern, incom
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Chapter 2: SIZ District and Upazila
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Map 2.2: Map of SIZ Districts: Khul
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Table 2.2: Proportion of SIZ area a
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SIZ 58 55.7 93 44.5 5 25 Districts
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Figure 2.5: Per capita district GDP
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Figure 2.7: SIZ per capita lands by
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CHAPTER 3 FINDINGS FROM THE SURVEY
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Satkhira 60 25.3 Pirojpur 11 4.6 Ba
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Retailer 107.2 30.2 All 87.5 48.7 F
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Like in other harvests, some of the
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Aratdars (11.6%) and Farias/Beparis
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Table 3.13: Distance of harvest pla
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Hantal 1.0 16.0 1.0 1.0 19.0 All 1.
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8.Unemployed 7.Self-employed 6.Cons
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Table 3.19: Repayment mode in SRF t
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In spite of the above, dadon is pre
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Incidence of pests 8.9 24.9 48.1 7.
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• Set up hand-driven tube-well at
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3.5 Historical Moratorium on SRF Pr
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Chandpai .15* - 1.62** .16* .17* .1
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CHAPTER 4 MAPPING FOR CORE STEPS AN
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Table 4.1: Sectors and products und
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We start with timber 4.3.1 Timber -
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4.3.3 Fish The fish sector consists
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Shrimp (Galda and Bagda) Chain 1: F
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Flow chart 4.8: Value chain for Cra
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Average number of boats involved in
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ola Khulna 1019 200 58 31 10 2 12 1
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year. On the assumption that one ac
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600 569 000 no. 500 400 300 200 225
Page 146 and 147: Table 4.11: Proportions of SRF prod
Page 148 and 149: Figure 4.7: Volume of products (%)
Page 150 and 151: Chapter 5: Value Chain Analysis for
Page 152 and 153: Beparis sell, in addition to Choto
Page 154 and 155: Volume of trade The price value add
Page 156 and 157: 5.2.2 Gura Fish As large network of
Page 158 and 159: 140 Gura fish selling price (Tk per
Page 160 and 161: A specific group of people having g
Page 162 and 163: Sada fish gross return (monthly) by
Page 164 and 165: Net/boat owners are actually Mahaja
Page 166 and 167: Figure 5.17: Hilsha gross return (T
Page 168 and 169: Gross returns and net returns Aratd
Page 170 and 171: Figure 5.23: Shrimp galda large net
Page 172 and 173: Figure 5.25: Shrimp bagda large sel
Page 174 and 175: Table 5.7: Value addition and retur
Page 176 and 177: Figure 5.31: Shrimp galda small net
Page 178 and 179: Figure 5.36: Shrimp bagda small val
Page 180 and 181: Average selling Price/piece Price V
Page 182 and 183: Figure 5.40: Shrimp fry galda value
Page 184 and 185: Shrimp fry bagda value addition (%)
Page 186 and 187: Crab gross return (monthly) by acto
Page 188 and 189: Note: See note under Table 5.1. (10
Page 190 and 191: Honey net return (monthly) by actor
Page 192 and 193: The degree of inequality is quite h
Page 194 and 195: Cumulative income share (%) 100 80
Page 198 and 199: Decile 8 14.6 Decile 9 17.9 Decile
Page 200 and 201: Annual income level (%) of SRF Acto
Page 202 and 203: Actors Monthly income Duration (Mon
Page 204 and 205: Table 5.24: Annual income level of
Page 206 and 207: Annual income level (%) of SRF Acto
Page 208 and 209: anking actors, it can be seen that
Page 210 and 211: In terms of distribution by deciles
Page 212 and 213: Table 5.32: Annual income level of
Page 214 and 215: Decile 3 2.9 Decile 4 3.9 Decile 5
Page 216 and 217: CHAPTER 6 CONCLUDING REMARKS AND PO
Page 218 and 219: actors community). Our survey findi
Page 220 and 221: The foremost policy, therefore, wil
Page 222 and 223: nets” to the collectors, along wi
Page 224 and 225: empowerment, awareness and overall
Page 226 and 227: of co-management. That co-managemen
Page 228 and 229: SRF collectors as a major problem o
Page 230 and 231: the problem as very high is more th
Page 232 and 233: Bernacsek, G. and E. Haque (2001).
Page 234 and 235: Kleih Ulrich (2003). “Fish Distri
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