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5. COST-BENEFIT ANALYSIS(Contd.)

5.9 Duck-cum-fish option

In the duck-cum-fish option, the farmer breeds and raises ducks until they reach market size. Ducks fertilize the ponds either directly when they are in the water or indirectly, with labor carrying the manure to the ponds. The ratio is 500 ducks/ha. Male breeders are replaced every year; female breeders every second year.

TABLE 5.24

DUCKS POPULATION ON 5 HA FISH-FARM

NUMBER OF DUCKS/HA: 500

FEMALE/MALE RATIO: 160/40 = 4

NUMBER OF DUCKLINGS PER FEMALE PER YEAR: 45

PRODUCTION CYCLE (EXCLUDING INCUBATION PERIOD OF 28 DAYS): 8 WEEKS

DUCKLINGS MORTALITY RATE:1st WEEK: 5%
 2nd WEEK - 8th WEEK: 9%

POPULATION BREAKDOWN

F: Number of female / M: Number of males / D: Number of ducklings

Optimal number of ducks on 5 Ha fish-farm: 2,500

2,500= F + M + D
 = F (1 + 0.25 + 7.58954)

F  =329
M =82
D  =2,089

NUMBER OF DUCKS PRODUCED IN ONE YEAR: 329 × 45 × 0.95 × 0.91 = 12,800

TABLE 5.25

FEED AND LITTER REQUIREMENTS FOR DUCKS, QUANTITIES AND COSTS

FEED

Broilers (For 100)

1st Week:Broiler mash3 kg/day21 kg  @ K0.4810.08
2nd Week:Broiler mash5.5kg/day38.5kg  @ K0.4818.48
3rd Week:Broiler mash11.5kg/day80.5kg  @ K0.4838.64
4th, 5th Weeks:Broiler mash10 kg/day140 kg  @ K0.4867.20
 Maize bran10 kg/day140 kg  @ K0.1521.00
6th, 7th, 8th Wks:Broiler mash12.5kg/day262.5 kg  @ K0.48126.00
 Maize bran12.5kg/day262.5kg @ K0.1539.375
   945K 320.775

Average number of broilers: 2089

Breeders

Feeding requirement: 25 kg/day/200 ducks

Number of breeders:F329 
 M82411

Liter requirements (maize bran)

2.015 kg/m2 of sheltered space, every two weeks

322 m2 × 2.015 kg × 26 = 16,870 kg

Cost @ K0.15: K2530

TABLE 5.26
COST OF REPLACING BREEDERS

FEMALE ARE REPLACED AFTER TWO YEARS, SOLD AT 2.5 KG @ K2.00

MALE ARE REPLACED AFTER ONE YEAR, SOLD AT 2.5 KG @ K2.00

FEMALE:616.875
MALE:82 × 2.5 (3.5 - 2.00) =307.5
TOTAL 924

TABLE 5.27
OPTION IV: DUCK-CUM-FISH

FIXED CAPITAL:

 K 
Housing:   
Duckling (0–3 weeks): 783 P 25–28/m2: 30m2 @ K54/m21,620  
Broilers: 1306 @ 15/m2: 87m2 @ K54/m24,700  
Layers: 411 @ 2/m2: 205m2 @ K54/m211,070 N17,40020 yrs
Incubators: 4 incubators with 600 eggs capacity each @ K8500 34,00010 yrs
Additional covered space for incubators: 4 × 1.5m2 @ K500kg 3,00020 yrs
Wiring (100m @ K40) & fixtures 150 
Contingency 10% 5,450 
Total 6,000 

WORKING CAPITAL

Cost of breeders 411 @ 2,5kg @ K3.50 3,596
Feed:Breeders:12 weeks stock:4327 kg @ K0.45681,977 
 Broilers:8 weeks stock:19795 kg6,7198,696
Maize bran: 2950 kg @ K0.15  442
Heating lamps (5)   250
Supplies   1,000
Cash:Labor and management, for 12 weeks3,462 
 Transportation 268 
 Pond fencing 4104,140
Contingency 10%   1,876
Total    20,000

TABLE 5.28
OPTION IV: DUCK-CUM-FISH

PROJECTED PROFIT AND LOSS STATEMENT

Revenues
Sales of ducks: 12800 @ 2.5 kg @ K3.50/kg112,000
(-) cost of transportation(317)
Net total111,683
Sales of fish:Low yields4 T/ha × 5 ha80,000
 Medium yields6 T/ha × 5 ha120,000
 High yields8 T/ha × 6 ha160,000
Expenses   
Feed: Breeders  8,566
 Broilers  43,676
Maize 16870 kg @ K0.15 2,530
Transportation (on 30 km) 1,526
Heating lamps  1,500
Other supplies  1,000
Fencing  410
Cost of replacing breeders 924
Labor and management 15,000
Contingency ~10% 7,468
Total  82,600

Profits before depreciation:L109,083
 M149,083
 H189,083

TABLE 5.29
PROFIT TAX COMPUTATION, 5 HA FISH-FARM, 5,000 m2 PONDS, DUCK-CUM-FISH

YEARPROFIT BEFORE DEPRECIATIONCAPITAL ALLOWANCESLOSS BROUGHT FORWARDTOTAL ALLOWANCETAXABLE INCOMETAX (15%)
Building/Development*Other**
LMHLMHLMHLMHLMH
1109,083149,083189,083340,53619,650---360,186360,186360,186(251,103)(211,103)(171,103)---
2109,083149,083189,083-19,650251,103211,103171,103270,753230,753190,753(161,670)(81,670)(1,670)---
3109,083149,083189,083--161,67081,6701,670161,67081,6701,670(52,587)67,413187,413-10,11228,112
4109,083149,083189,083--52,587--552,587--56,496149,083189,0838,47422,36228,362
5109,083149,083189,083-2,765---2,7652,7652,765106,318146,318186,31815,94821,94827,948
6109,083149,083189,083-2,765---2,7652,7652,765106,318146,318186,31815,94821,94827,948
7109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
8109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
9109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
10109,083149,083189,08312,78619,650---32,43632,43032,43676,647116,647156,64711,49717,49723,497
11109,083149,083189,083-19,650---19,65019,65019,65089,433129,433169,43313,41519,41525,415
12109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
13109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
14109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
15109,083149,083189,083-----2,765-2,765106,318146,318186,31815,49821,94827,948
16109,083149,083189,083-2,765---2,765-2,765106,318146,318186,31815,49821,94827,948
17109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
18109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
19109,083149,083189,083--------109,083149,083189,08316,36222,36228,362
20109,083149,083189,083--------268,333308,333348,33340,25046,25052,250

* POND CONSTRUCTION, FENCE, BUILDINGS, AT 100%

** FURNITURE CARTS & OXEN, WHEEL-BARROWS, AT 50%

TABLE 5.30
FINANCIAL RATE OF RETURN, 5 HA FISH-FARM, 5,000 m2 PONDS, DUCK-CUM-FISH

YEAR01234567891011121314151617181920
CASH-INFLOWS                     
Profit L-87,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,18787,187
M-127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187127,187
H-167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187167,187
Depreciation-21,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,89621,896
Salvage value of assets--------------------159,250
Release of working capital--------------------22,523
TOTAL INFLOWS L-109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083290,856
M-149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083330,856
H-189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083370,856
CASH OUTFLOWS                     
Fixed capital391,639----4,030----50,816----4,030-----
Working capital20,000--------------------
Taxes L----8,47415,94815,94816,36216,36216,36211,49713,41516,36216,36216,36215,49815,49816,36216,36216,36240,250
M---10,11222,36221,94821,94822,36222,36222,36217,49719,41522,36222,36222,36221,94821,94822,36222,36222,36246,250
H---28,11228,36227,94827,94828,36228,36228,36223,29725,41528,36228,36228,36227,94827,94828,36228,36228,36252,250
TOTAL OUTFLOWS L411,639---8,47419,97815,94816,36216,36216,36262,31313,41516,36216,36216,36219,97815,49816,36216,36216,36240,240
M411,639--10,11222,36225,97821,94822,36222,36222,36268,31319,41522,36222,36222,36225,97821,94822,36222,36222,36246,250
H411,639--28,11228,36231,97827,94828,36228,36228,36274,31325,41528,36228,36228,36231,97827,94828,36228,36228,36252,250
NET CASH FLOWS L(411,639)109,083109,083109,083100,60989,10593,13592,72192,72192,72146,77095,66892,72192,72192,72189,10593,13592,72192,72192,721250,606
M(411,639)149,083149,083138,971126,721123,105127,135126,721126,721126,72180,770129,668126,721126,721126,721123,105127,135126,721126,721126,721284,606
H(411,639)189,083189,083160,971160,721157,105161,135160,721160,721160,721114,770163,668160,721160,721160,721157,105161,135160,721160,721160,721318,606

FINANCIAL RATE OF RETURNL24.1%
 M33.2%
 H42.3%

TABLE 5.31
FINANCIAL RATE OF RETURN, 5 HA FISH-FARM, 2,500 m2 PONDS, DUCK-CUM-FISH

YEAR01234567891011121314151617181920
CASH-INFLOWS                     
Profit L-82,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,27782,277
M-122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277122,277
H-162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277162,277
Depreciation-26,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,80626,806
Salvage value of assets--------------------193,245
Release of working capital--------------------22,440
TOTAL INFLOWS L-109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083324,768
M-149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083364,768
H-189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083404,768
CASH OUTFLOWS                     
Fixed capital489,751----4,030----50,816----4,030-----
Working capital20,000--------------------
Taxes L-----9,70515,94816,36216,36216,36211,49713,41516,36216,36216,36215,49815,49816,36216,36216,36245,349
M----17,75721,94821,94822,36222,36222,36217,49719,41522,36222,36222,36221,94821,94822,36222,36222,36251,349
H---13,39528,36227,94827,94828,36228,36228,36223,49725,41528,36228,36228,36227,94827,94828,36228,36228,36257,349
TOTAL OUTFLOWS L509,751----13,73515,94816,36216,36216,36262,31313,41516,36216,36216,36219,52815,49816,36216,36216,36245,349
M509,751---17,75725,97821,94822,36222,36222,36268,31319,41522,36222,36222,36225,97821,94822,36222,36222,36251,349
H509,751--13,39528,36231,97827,94828,36228,36228,36274,31325,41528,36228,36228,36231,97827,94828,36228,36228,36257,349
NET CASH FLOWS L(509,751)109,083109,083109,083109,08395,34893,13592,72192,72192,72146,77095,66892,72192,72192,72189,10593,13592,72192,72192,721279,419
M(509,751)149,083149,083149,083131,326123,105127,135126,721126,721126,72180,770129,668126,721126,721126,721123,105127,135126,721126,721126,721313,419
H(509,751)189,083189,083175,688160,721157,105161,135160,721160,721160,721114,770163,668160,721160,721160,721157,105161,135160,721160,721160,721347,419

FINANCIAL RATE OF RETURNL19.2%
 M26.8%
 H34.2%

TABLE 5.32
FINANCIAL RATE OF RETURN, 5 HA FISH-FARM, 1,500 m2 PONDS, DUCK-CUM-FISH

YEAR01234567891011121314151617181920
CASH-INFLOWS                     
Profit L-77,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,54977,549
M-117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549117,549
H-157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549157,549
Depreciation-31,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,53431,534
Salvage value of assets--------------------239,598
Release of working capital--------------------22,124
TOTAL INFLOWS L-109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083109,083370,805
M-149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083149,083410,805
H-189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083189,083450,805
CASH OUTFLOWS                     
Fixed capital583,988----4,030----50,816----4,030-----
Working capital20,000--------------------
Taxes L------11,51716,36216,36216,36211,49713,41516,36216,36216,36215,49815,49816,36216,36216,36252,302
M----3,62121,94821,94822,36222,36222,36217,49719,41522,36222,36222,36221,94821,94822,36222,36222,36258,302
H----27,62127,94827,94828,36228,36228,36223,49725,41528,36228,36228,36227,94827,94828,36228,36228,36264,302
TOTAL OUTFLOWS L603,988----4,03011,51716,36216,36216,36262,31313,41516,36216,36216,36219,52815,49816,36216,36216,36252,302
M603,988---3,62125,97821,94822,36222,36222,36268,31319,41522,36222,36222,36225,97821,94822,36222,36222,36258,302
H603,988---27,62131,97827,94828,36228,36228,36274,31325,41528,36228,36228,36231,97827,94828,36228,36228,36264,302
NET CASH FLOWS L(603,988)109,083109,083109,083109,083105,05397,56692,72192,72192,72146,77095,66892,72192,72192,72189,10593,13592,72192,72192,721318,503
M(603,988)149,083149,083149,083145,462123,105127,135126,721126,721126,72180,770129,668126,721126,721126,721123,105127,135126,721126,721126,721352,503
H(603,988)189,083189,083175,688161,462157,105161,135160,721160,721160,721114,770163,668160,721160,721160,721157,105161,135160,721160,721160,721386,503

FINANCIAL RATE OF RETURNL16.0%
 M22.5%
 H28.8%

5.10 10 HA fish-farm

The rate of return of a 10 ha fish-farm with 5000m2 ponds using direct feed was computed, to see whether a larger farm would bring significantly higher returns.

TABLE 5.33
10 HA FISH-FARM, DIRECT FEED, 5,000 m2 PONDS

BASE CAPITAL COST  No. of years
 K 
POND CONSTRUCTION 592,59020
FENCING (ASSUMING 400 × 325 m LOT)   
1.8 m High Diamond Wire: 1,450 m @ K300/ m14,700  
2 mm Plain Wire 3 Rolls of 1,000 m @ K100300  
Poles (1 per 5 m): 290 @ K61,740  
Labor 29 man/days @ K38716,82710
CLOSED WAREHOUSE  70 m2 @ K500 35,00020
OPEN WAREHOUSE  150 m2 @ K54 8,10020
OFFICE  10 m2 @ K500 5,00020
FURNITURE50020
CART (2)6,0005
TEAM OF OXEN (2)3,6005
WHEEL BARROWS (4) @ K11546020
BROODSTOCK (5,000 m2 ponds) 2,538 Breeders, @ 0.3 kg @ K4003,046-
CONTINGENCY 10% (all items except pond construction)7,867 
TOTAL678,990 
WORKING CAPITAL  
FEED FOR ONE YEAR 252,104 KG
(50% sunflower cake @ K327/T, 50% maize bran @ K150/T)
60,127 
SUPPLIES (nets, shovels, tools)2,000 
CASH FOR TRANSPORTATION2,494 
CASH FOR LABOR AND MANAGEMENT22,000 
CONTINGENCY 10%8,679 
TOTAL95,300 

TABLE 5.34
10 HA FISH-FARM, 5,000 m2 PONDS, DIRECT FEED

PROJECTED PROFIT & LOSS STATEMENT

REVENUES
SALES OF FISHLow yields4T/HA @ K4/kg160,000
 Medium yields6T/HA @ K4/kg240,000
 High yields8T/HA @ K4/kg320,000
EXPENSES  
DIRECT COSTS  
FEED 60,127
TRANSPORTATION 2,494
SUPPLIES 2,000
LABOR AND MANAGEMENT 22,000
CONTINGENCY 10% 8,679
TOTAL 95,300
PROFIT BEFORE DEPRECIATIONL64,700
 M144,700
 H224,700
DEPRECIATION  
POND 29,630
FENCE 1,683
BUILDINGS AND FURNITURE 2,430
OTHER 1,612
TOTAL 35,355
PROFIT AFTER DEPRECIATIONL29,345
 M109,345
 H189,345

TABLE 5.35
PROFIT TAX COMPUTATION, 10 HA FISH-FARM, 5,000 m2 PONDS, DIRECT FEED OPTION

YEARPROFIT BEFORE DEPRECIATIONCAPITAL ALLOWANCESLOSS BROUGHT FORWARDTOTAL ALLOWANCETAXABLE INCOMETAX (15%)
LMHBuildings
/Development*
Other**LMHLMHLMHLMH
164,700144,700224,700657,5175,280---662,797662,797662,797(598,077)(518,097)(438,097)---
264,700144,700224,700-5,280598,097518,097438,097603,377523,377443,377(538,677)(378,677)(218,677)---
364,700144,700224,700--538,677378,677218,677538,677378,677218,677(473,977)(233,977)6,023--903
464,700144,700224,700--473,977233,977-473,977233,977-(409,277)(89,277)224,700--33,705
564,700144,700224,700-5,030409,27789,277-414,30794,3075,030(249,607)50,393219,670-7,55932,950
664,700144,700224,700-5,030349,607--354,6375,0305,030(289,937)139,670219,670-20,95032,950
764,700144,700224,700--289,937--289,937--(225,237)144,700224,700-21,70533,705
864,700144,700224,700--225,237--225,237--(160,537)144,700224,700-21,70533,705
964,700144,700224,700--160,537--160,537--(95,837)144,700224,700-21,70533,705
1064,700144,700224,70016,8275,03098,837--117,69421,85721,857(52,994)122,843202,843-18,42630,426
1164,700144,700224,700-5,03052,994--58,0245,0305,0306,676139,670219,6701,00120,95032,950
1264,700144,700224,700--------64,700144,700224,7009,70521,70533,705
1364,700144,700224,700--------64,700144,700224,7009,70521,70533,705
1464,700144,700224,700--------64,700144,700224,7009,70521,70533,705
1564,700144,700224,700-5,030---5,0305,0305,03059,670139,670219,6708,95020,95032,950
1664,700144,700224,700-5,030---5,0305,0305,03059,670139,670219,6708,95020,95032,950
1764,700144,700224,700--------9,705144,700224,7009,70521,70533,705
1864,700144,700224,700--------9,705144,700224,7009,70521,70533,705
1964,700144,700224,700--------9,705144,700224,7009,70521,70533,705
20318,690398,690478,690--------318,690398,690478,69047,80359,80371,803

* POND CONSTRUCTION, FENCE, BUILDINGS, AT 100%

** FURNITURE CARTS & OXEN, WHEEL-BARROWS, AT 50 %

TABLE 5.36
FINANCIAL RATE OF RETURN, 10 HA FISH-FARM, 5,000 m2 PONDS, DIRECT FEED

YEAR01234567891011121314151617181920
CASH-INFLOWS                     
Profit L-29,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,34529,345
M-109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345109,345
H-189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345189,345
Depreciation-35,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,35535,355
Salvage value of assets--------------------253,990
Release of working capital--------------------100,346
TOTAL INFLOWS L-64,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,70064,700419,036
M-144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700144,700499,036
H-224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700224,700579,036
CASH OUTFLOWS                     
Fixed capital678,990----8,060----24,887----8,060-----
Working capital95,300--------------------
Taxes L-----------1,0019,7059,7059,7058,9508,9509,7059,7059,70547,803
M-----7,55920,95021,70521,70521,70518,42620,95021,70521,70521,70520,95020,95021,70521,70521,70559,803
H---90333,70532,95032,95033,70533,70533,70530,42632,95033,70533,70533,70532,95032,95033,70533,70533,70571,803
TOTAL OUTFLOWS L774,290----8,060----24,8871,0019,7059,7059,70517,0108,9509,7059,7059,70547,803
M774,290----15,61920,95021,70521,70521,70543,31320,95021,70521,70521,70529,01020,95021,70521,70521,70559,803
H774,290--90333,70541,01032,95033,70533,70533,70555,31332,95033,70533,70533,70541,01032,95033,70533,70533,70571,803
NET CASH FLOWS L(774,290)64,70064,70064,70064,70056,64064,70064,70064,70064,70039,81363,69954,99554,99554,99547,69055,75054,99554,99554,995371,233
M(774,290)144,700144,700144,700144,700129,081123,750122,995122,995122,995101,387123,750122,995122,995122,995115,690123,750122,995122,995122,995439,233
H(774,290)224,700224,700223,797190,995183,690191,750190,995190,995190,995169,387191,750190,995190,995190,995183,690191,750190,995190,995190,995507,233

FINANCIAL RATE OF RETURNL6.1%
 M16.7%
 H26.6%

5.11 Analysis of fish-farming options

The analysis of fish-farming options proceeds by comparing the assumed yields on which the expected returns of alternative options are based, by comparing them with the range of results observed in Zambian commercial and governmental fish-farms. This comparison allows to appraise the likelihood of the different results and should make possible the choice of option for fish-farm development (pond size) and management.

However it must be kept in mind that financial rates of return calculations are based on present input and output prices obtained in Zambia and more important, on construction prices quoted by Brunelli Construction (Lusaka). Those quotations for different farm sizes (5 ha and 10 ha) and pond sizes (5,000 m2, 2,500 m2 and 1,500 m2) are high compared to actual costs. One project by the same company, within 30 km of Lusaka, included the construction of fish ponds of and average size of 464 m2 on a less than 1 ha fish-farm, for a cost per ha of K58,050, which is 39% less than the quotation price for 1,500 m2 ponds for a 5 ha fish-farm. Therefore, development costs quoted by Brunelli Construction should be considered rather as list prices, and financial rates of return computed are underestimated. This consideration should be kept in mind before ruling out any option which would not bring a sufficient rate of return under the chosen set assumptions.

The analysis of rates of return table brings the following remarks.

  1. With the construction costs quoted by Brunelli Construction, small size ponds do not appear to be preferable to large size ponds even if they bring higher yields. Even if using 1,500 m2 ponds was helping to obtain 8 T/ha which is difficult to reach on a regular basis, the increment in internal rate of return would be from 23.0% to 27.4% for pig-cum-fish option and from 24.1% to 28.8% for duck-cum-fish option, compared to rate of return with 5,000 m2 ponds assuming 4 T/ha yields. Yet obtaining average yields of 4 T/ha on 5,000 m2 ponds is much more realistic (it has been realized, in Zambia even with suboptimal management methods) than obtaining 8 T/ha on a regular basis on 1,500 m2 ponds. Therefore, a would-be fish-farmer should study carefully the cost increment involved in building 1,500 m2 ponds, rather than 2,500 m2 or 5,000 m2 ponds.

  2. Associated husbandry, whether with pigs or ducks, will always provide better return than direct fertilizing or direct feeding methods, provided that it pays for itself, since with associated husbandry, the cost of fertilizing the ponds is nil and the yields are better or as good. The only situation where direct feeding or fertilizing could be financially more attractive would be if it would bring such higher yield that the value of the additional yields would more than offset the cost directly feeding or fertilizing the ponds. This could only be possible with chicken manure since this fertilizing method has brought yields of up to 12 T/ha in the Copperbelt area. Yet the cost of chicken manure (KO. 10/kg in the Lusaka area, K4.00–5.00/kg in the Copperbelt) reduces the advantage of this option, even for a fish-farm raising its own chickens. In a country where the cattle industry generates a strong demand for chicken manure, there is an opportunity cost in using chicken manure in fish ponds. As there is no similar market for pig manure or duck manure, the opportunity cost for those fertilizers can be considered as nil.

    TABLE 5.37
    COST OF POND CONSTRUCTION PER HA, IN KWACHA

    Brunelli quotation (30 km range from Lusaka)

     5 ha Fish-Farm10ha Fish-Farm% Difference
    5000 m2 ponds56,13052,4596.5%
    2500 m2 ponds75,76967,17711.3%
    1500 m2 ponds94,68091,7743.1%

    Fish-Farm project (25 km west of Lusaka), to be implemented by Brunelli Construction

    Ponds dimensionsNTotal area (m2)
    28m × 15m = 420m262,520
    40m × 15m = 600m231,800
    15m × 30m = 450m2104,500
      8,820m2

    Average size of ponds: 464m2 = 4.64 ares

    Total cost of pond construction: K51200

    Cost per ha: K58050

    TABLE 5.38
    POTENTIAL RATES OF RETURN OF FISH FARMING OPTIONS, 5 HA FISH-FARM

    POSSIBLE YIELDS4T/HA6T/HA8T/HA
    OPTIONS
    FEED5,000 m2 PONDS5.5%16.1%26.1%
    2,500 m2 PONDS3.7%12.5%20.6%
    1,500 m2 PONDS2.7%10.2%17.1%
    CHICKEN MANURE5,000 m2 PONDS6.6%17.2%27.3%
    2,500 m2 PONDS4.7%13.3%21.6%
    1,500 m2 PONDS3.5%10.9%17.9%
    PIG-CUM-FISH5,000 m2 PONDS23.0%30.6%38.1%
    2,500 m2 PONDS19.0%25.4%31.8%
    1,500 m2 PONDS16.3%21.9%27.4%
    DUCK-CUM-FISH5,000 m2 PONDS24.1%33.2%42.3%
    2,500 m2 PONDS19.2%26.8%34.2%
    1,500 m2 PONDS16.0%22.5%28.8%

    One could raise the question of whether it would be attractive for a farmer who wants to raise pigs or ducks to combine fish-farming, with that activity. In other words, is the extra income from raising fish worth the extra investment in pond development, or should the farmer be content with raising pigs, or ducks only? In the case of ducks the question is less pertinent since in a sense ducks benefit from the fish ponds as well as the fish benefit from the presence of ducks. In the case of pigs, it is less obvious. What can be done is assume that the after tax revenues from fish sales are an extra income, to be compared with the cost of investing in fish-farm. In such a case, just putting a steady flow of K680,000 (K80,000 revenues from sales of fish at 4 T/ha yield, after 15% income tax) against a base investment of K331,639 (5,000 m2 ponds) with each component lasting 20 years and assuming no salvage value of assets, the internal rate of return would be 20%. In other words even if the pig-farmer had only capital cost to incur for adding a fish-farming operation to his existing activities, the internal rate of return of this addition would only be 20% again, based on development costs figure quoted by Brunelli Construction. This exercise shows how critical is the cost of development in the decision to undertake fish-farming operations. Beyond a certain treshold which the stated costs of construction are probably approaching, the advantage of adding a fish-farming operation to an existing animal husbandry operation becomes marginal.

  3. Assuming equal yields per hectare, chicken manure option will bring returns only marginally higher than direct feed option, the required quantity of chicken manure is 15% less expensive than the required quantity of feed. However, conversion ratios of chicken manure have appeared much more favorable so far in Zambia than those of feed, bringing yields of up to 8 T/ha and 12 T/ha, at CPC farms, while direct feed mix of maize bran and sunflower cake gave yields of 2.11 T/ha at best at Chilanga fish-farming station. Yet under the stated assumptions the chicken manure option can bring returns superior to 20% only if 8 T/ha yields were possible, with production ponds of 2,500 m2 or 5,000 m2. Such performances would be difficult to achieve on regular basis. Therefore, chicken manure option is not likely to bring attractive financial returns, with the development costs quoted by Brunelli Construction.

    In the Copperbelt area, chicken manure can be obtained at a lower price of K4.00–5.00/kg. Yet, this cost reduction, which would bring direct costs from K47,200 to K33,200 is more than offset by the fact that fresh fish prices are around K3.00/kg in that area rather than K4.00/kg, which would bring fish sales revenues from K80,000 to K60,000 (at 4 T/ha yields). Therefore there is a relative advantage in using chicken manure in the Copperbelt area but this advantage does not garantee attractive financial returns beyond a certain level of development costs.

  4. With the feed requirements proposed for this analysis, the only situation where direct feed option could bring financial returns exceeding 20% would be the case of a fish-farm with 2,500 m2 or 5,000 m2 ponds getting yields of 8 T/ha and over. This would imply a conversion ratio of 3:1. Similar level of conversion rates have been obtained at Chilanga but with mixed species stocking, with less intensive feeding rates (69.25 kg//100 m2 for 275 days) and with mineral fertilizers added; yields were then 15.3 kg/100 m2 to 21.1 kg/are. Still in Chilanga when more intensive rates of feeding were used (127.4 kg/100 m2, 178.65 kg/100 m2), yields could even decrease to 13.8 kg/100 m2 and 16.7 kg/m2. Only in highly intensive systems like the one in use at Zambia Sugar Company in Nakambala can get conversion ratios of 1.5–2:1 which can bring yields that can be compared to 8 T/ha in pond system. But those results are obtained using a different production system with hybrid species in water tanks. In pond systems, sustained yields of 8 T/ha have not been even approached and appear unlikely. Therefore, the direct feed option does not appear attractive for development of commercial fish-farming.

  5. The duck-cum-fish option appears slightly more attractive than the pig-cum-fish option, under the given set of assumptions (only in one instance, for 1,500 m2 ponds, assuming yields of 4 T/ha in pig-cum-fish financially as attractive as duck-cum-fish. However, the duck-cum-fish option includes the import of 4 incubators whose cost could increase significantly with a probable devaluation of the Kwacha. Pig-cum-fish however depends on variations in pig cycles. Pig slaughtering have known strong variations in the past 15 years, the level reached in 1983 (31,455 heads) being the same as the 1970 level (31,930) after reaching a peak of 55,465 in 1975. At the time of this mission, it was getting difficult to buy weaners in the Lusaka area and the supply of weaners was reported to be a problem in the Mwekera area as well. This situation calls for caution in planning for pig-cum-fish farming operations unless a farmer is breeding his own pig or can count on a secure supply of weaners. Otherwise the long term prospects for growth in pig demand appear favorable, provided that the favorable economic conditions which brought the peak demand of the mid-seventies would come back. Yet in all cases, pig- raising remains an activity particularly liable to cyclical variations.

    Duck does not have a market as important as pig but even if no study can yet confirm it for Zambia, there seems to be a good potential for growth. At the present level of production, ducks produced by Chilanga, Chipata and Mwekera are easily sold, at the same prices as chicken. So far this have been sold in urban and peri-urban areas, to higher incomes market as well as lower incomes (Chilanga market absorbs most of the production at the Chilanga station). Ducks are better processors of cellulose than chickens and over their 8 week cycle period, 43% of their feed intake consist of maize bran.

    Under the present set of assumptions, duck-cum-fish option is only marginally more attractive than pig-cum-fish, the maximum margin between internal rates of return for both options being 4.2% (8 T/ha with 5,000 m2 ponds). This margin could be slightly increased if housing for ducks was made in less durable materials. Yet the saving would be less than 5% investment costs in all areas.

5.11.1 Economies of scale with 10 ha fish-farm

Quotations for construction costs of 10 ha fish-farm were also given by Brunelli Construction. The savings on cost per ha are 6.5% with 5,000 m2 ponds, 11.3% with 2,500 m2 ponds and 3.1% for 1,500 m2 ponds. It was also assumed that the same office and furniture could do for a 10 ha fish-farm. On the running costs, it was assumed that management cost would be the same for a 10 ha farm than for a 5 ha farm. All other costs were assumed proportional to the size of the farm. The internal rates of return for 5 ha and 10 ha fish-farms for 5,000 m2 ponds with direct feed option are as follows.

 5 ha10 haDifference
Low yields5.56.10.6
Medium yields16.116.70.6
High yields26.126.60.5

Although the savings on investment and running costs for a 10 ha fish-farm have a positive impact on the internal rate of return, thus difference is marginal. It would be slightly higher in the case of fish-farms with 2,500 m2 production ponds. For other management options, the difference would be the same since the cost specific to each particular option are proportional.

5.11.2 Impact of learning period

In all computations made, it was assumed that the fish-farmer was achieving stable results at his first year in production. Such a situation would really be optimal and would assumed that management and labor would be well prepared right at the start of operations. Such an assumption is optimistic but since the main purpose of the overall exercice, is to compare the expected results of different construction and management options, making additional assumptions on the learning periods for all different options would have been an element of confusion. Yet, the impact of learning period is quite significant on the rate of return of a project since it happens at begining of a stream of cash-flows. For instance for a 5 ha fish-farm with 5,000 m2 ponds using chicken manure option, a learning period which would materialize in terms of nil cash-flow for the first two years would reduce the internal rate of return in the following manner:

 No learning
period
Learning period
with “O” cash-flow
for two years
Low yields6.65.2
Medium yields17.212.6
High yields27.318.5

The decrease in internal rate is more important at medium and high yields assumption because in those case, a zero cash-flow situation means a level of production which is 39% and 29% respectively, of expected level of production; for the low yields assumption, zero cash-flow means a level of production of 59% of expected level of production. Thus, a more realistic analysis should make assumptions on the impact of learning period. But above all, this exercice proves the importance and the value of adequate technical back-up for reducing the impact of this adjustment period so that operation reach their cruising performance as soon as possible.

5.12 Fish-farm man development using labor intensive methods

Project management did not think that man-made fish-farm development was a viable solution for a 5 ha operation. Just for the sake of comparison, it is possible to compare the rate quoted by Brunelli Construction which is K6/m3 for earth movements to the ones obtained for one dam built in the Copperbelt area by a team of 10 men working with picks, shovels and wheel barrows. In that case, a 2,400 m3 earth dam was built in 6 months by a team of 10 men working 7 days per week for K3/day. Although, due to lack of records, all those figure are approximate and some overtime was paid, it can be deducted that the cost per m3 was between K2.3 and K3. However, keeping the same parameters, a 5 ha fish-farm with 5,000 m2 ponds and thus involving 16,500 m3 of earth movement would figure some 12,550 man days is the equivalent of 100 men working four months and one week on a full time basis. This effort would only cover the earth movement and not the other components of fish-farm development. It would cost K495000 or close to K10000/ha.


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