Implementation completion and results report


The Ex Post Economic and Financial Analysis



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The Ex Post Economic and Financial Analysis

Economic and Financial Analysis

5. This section summarizes the estimated results obtained by the IIIMP, based on the ERR and the NPV calculated with FARMOD software. As at appraisal, the incremental costs and benefits of the project to society as a whole, using the with- and without-project approach, was followed. A description of the differences in costs and benefits and key underlining assumptions are presented below, including market prices used for key input and outputs, shadow pricing, and phasing of improvements. Incremental net benefits were obtained by deduction of the project costs from increased revenues. These took account of the impact on productivity increases, cost reductions through the new approach for improvement designs, and the electrification of pump sets. Water savings which were assumed as a benefit at appraisal were not included for the ICR because water lost to drains or groundwater aquifers and ‘saved’ in improved buried mesqa and marwa areas was (and is) anyway reused downstream by other farms to a large extent. Essentially it can be argued that water is not really ‘saved’. That is the reason why in the economic analysis, no value was assigned to the water ‘saved’.18

6. The economic benefits of the project were calculated by estimating average crop and activity budgets for the main crops and livestock components, and aggregating them in farm models representing the three type of improvements: (a) areas previously not improved incorporating new mesqas in 85,347 feddans; (b) areas previously improved but only at the mesqa level incorporating piped marwas covering 24,546 feddans; and (c) areas with SSD totaling 95,385 feddans.19

7. Crop budgets were built on data obtained through interviews with farmers in the improved areas integrating the changes induced under the project including average yield increases and irrigation cost reductions. In determining the production costs and yields obtained before and after the project, and in estimating their future development, several sources of data were used including the WaterWatch Studies performed in 2008 and in 2014 using remote sensing approaches; the results of the M&E activities implemented under the IIIMP as well as field observations from the ICR mission. The cropping patterns did not show any significant change as a direct result of the project investments. Cropping intensities were assumed to be 188 percent without project and 194 percent with project, considering that there was a 3–5 percent increase in land use as the open mesqas and marwas were piped and buried. Table 3.2 shows the assumed cropping pattern.



Table 3.2. Cropping Pattern in the Project Area




Cropping Pattern

Before Improvements

Current Situation

Changes in Area

Crops in Project Area

%

(feddan, thousands)

Winter

79.0

172.1

178.1

6

Wheat

20.0

42.0

42.0

0

Berseem (long season)

10.0

21.6

21.6

0

Berseem (short season)

25.0

53.9

53.9

0

Broad beans

3.0

6.2

6.2

0

Winter vegetables

21.0

48.5

54.5

6

Summer

70.0

151.4

157.4

6

Cotton

16.0

35.1

35.1

0

Rice

30.0

64.6

64.6

0

Maize

16.0

34.5

34.5

0

Summer vegetables

8.0

17.2

23.2

6

Orchards

21.0

43.1

43.1

0

Cropping Intensity



1.88

1.94



8. Project benefits in terms of increased productivity are shown in table 3.3, which were assumed to be realized smoothly during the five years following the completion of improvements at the benefited farm level in 117,700 farms or 215,000 feddans. Average crop budgets were estimated for the 10 major crops in the two command areas, as well as an activity budget for milk and meat production as berseem, one of the major crops in the Delta (35 percent of the winter crop areas), is used mainly for feeding cows and buffalos. Tables 2 to 12 in the IIIMP ICR.xls file (in the project files) present the crop and activity budgets, including the yields, inputs, and costs for the cultivation of 1 feddan area before and after the project.

9. From the three sources of data taken into consideration—the WaterWatch remote sensing report, the Water Management Research Institute (WMRI) monitoring data, and the observations from the field and interviews with farmers’ benefited groups during the ICR mission—the following relevant conclusions are summarized:



  1. WaterWatch studies concluded that the yield differences in rice-cultivated areas between the improved and unimproved areas (considering the summers of 2008 and 2014) showed (i) slightly higher ET/water consumption; (ii) 3–10 percent lower ET-deficit; and (iii) 1–2 percent higher yields.

  2. The WMRI reported that, “improving subsurface drainage is a main factor that could result in an increase of productivity up to 20 percent.” The WMRI also reported that irrigation costs for rice in El Mahmoudia command area before and after the improvements decreased by EGP 234 per feddan (65 percent) at the head of the canals according to farmers’ estimates, while at the tail end the average reduction was about EGP 200 per feddan (48 percent). Similarly, in Meet Yazid canal command area these reductions averaged to EGP 175 (53 percent) and EGP 133 (42 percent) at the head and tail end of the canals, respectively.

  3. From the ICR mission visits to improved works at several project sites including mesqas from El-Ezbah on the Nekla Canal, farmers reported that with the project yields have increased about 20 percent to 30 percent at the tail end of the canal, while irrigation costs were reduced from an average of EGP 500 to EGP 200 per feddan.

  1. Based on these sources, the assumed incremental yields for this ICR impact assessment for the main crops in the project area are summarized in Table 3.3:

Table 3.3. Expected Incremental Yields by Crop




Mesqa Improved Areas

SSD Improved Areas




Without

With

Increase

Without

With

Increase

Crop/Activity

Project

Project

%

Project

Project

%

Maize

3.300

3.475

5

3.600

4.000

11

Rice

3.500

3.675

5

3.700

4.000

8

Cotton

1.200

1.260

5

1.300

1.500

15

Summer vegetable

9.000

9.450

5

11.000

12.500

14

Wheat

2.400

2.520

5

2.700

3.000

11

Broad beans

1.100

1.160

5

1.200

1.330

11

Winter vegetable

11.000

11.500

5

12.000

13.500

13

Berseem long season

30.000

31.500

5

35.000

39.000

11

Berseem short season

22.000

23.000

5

23.500

27.000

15

Citrus

9.000

9.500

6

10.000

11.500

15

Milk

1,500

1,575

5

1,600

1,700

6

Meat

150

158

5

160

170

6

11. Project benefits were assumed to accrue over a period of 15 to 20 years, consistent with the life cycle of major improvements.

12. Financial and economic prices have been estimated for this assessment using 2016 data and are presented in Table 3.4. CFs for shadow pricing were based on estimates prepared by the ICR Borrower’s report built on World Bank Commodities Price Forecasts dated March 2016. For nontraded commodities, such as berseem and other forages, the financial prices were assumed to represent fairly well their economic prices. Future prices for traded inputs and outputs are not expected to show major variations according to the most recent World Bank forecasts. A CF of 0.7 was considered for labor costs, and CFs of 2.06 and 1.4 were used for diesel and electricity costs, respectively.20



Table 3.4. Output and Input Financial and Economic Prices

13. Project economic costs were derived from the financial costs by excluding taxes, duties, and subsidies (table 3.5) and expressed in 2016 constant prices using the gross domestic product deflator.21 As at appraisal, all investment costs were included in the cost stream for this analysis with the exception of those from the environmental component.



Table 3.5. Current and Constant 2016 - Project Costs (US$, millions)

Current U.S. dollars

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Total

Component 1

1.01

3.45

11.93

27.93

23.16

14.99

27.49

41.72

50.33

22.66

224.65

Component 2

0.33

0.07




0.09




0.01

0.06

0.02





0.58

Component 3

2.01

0.39

0.61

0.72

0.98

0.98

1.74

1.61

0.10

0.02

9.17

Component 4

1.42

1.69

1.57

1.86

1.38

1.31

0.99

1.51

1.64

0.13

13.49

Component 5



0.00

0.04





0.01

0.02







0.07

Total Current U.S. dollar

4.77

5.60

14.13

30.61

25.51

17.29

30.30

44.85

52.07

22.81

247.95

Constant 2016 U.S. dollar

11.3

11.9

26.9

52.9

39.5

23.8

38.3

50.8

53.4

22.8

331.6

14. Benefits, phasing, and buildup. As mentioned, the project spent about 50 percent of the original budget in constant 2004 costs. Additionally, implementation has been slower than expected due to, among other things, slow process at the mesqa level to get the full commitment of the farmers as well as political upheavals. The project restructuring and the extension of the closing date until March 2016 provided the opportunity to complete improvements of farm areas of the revised targets and the main canal works in the project areas. Table 3.6 and Table 3.7 show the pace of implementing the project improved areas.

Table 3.6. Farms Per Subproject and Farm Size



New Unimproved

Farm Size (feddan)

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Total

0.75

0

0

71

2,012

1,330

708

719

1,377

1,618

387

8,222

1.5

0

0

171

4,888

3,230

1,721

1,746

3,345

3,931

941

19,973

4

0

0

127

3,635

2,402

1,279

1,298

2,487

2,923

700

14,851

Total

0

0

369

10,535

6,962

3,708

3,763

7,209

8,472

2,028

32,142

Previously Improved




Farm Size (feddan)

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Total

0.75

0

0

0

0

0

387

355

118

1,076

176

2,113

1.5

0

0

0

0

0

941

863

286

2,613

429

5,133

4

0

0

0

0

0

700

642

213

1,943

319

3,816

Total

0

0

0

0

0

2,028

1,860

617

5,632

924

11,061

Table 3.7. Area Per Subproject and Farm Size (Feddan)

New Unimproved

Farm Size (feddan)

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Total

0.75

0

0

53

1,509

997

531

539

1,033

1,214

290

6,166

1.50

0

0

257

7,332

4,845

2,581

2,619

5,018

5,896

1,411

29,960

4.00

0

0

510

14,538

9,607

5,118

5,192

9,949

11,690

2,798

59,404

Total

0

0

820

23,380

15,450

8,230

8,350

16,000

18,800

4,500

95,530

Previously Improved

Farm Size (feddan)

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

Total

0.75

0

0

0

0

0

290

267

88

807

132

1,585

1.50

0

0

0

0

0

1,411

1,295

430

3,920

643

7,699

4.00

0

0

0

0

0

2,798

2,568

852

7,773

1,275

15,266

Total

0

0

0

0

0

4,500

4,130

1,370

12,500

2,050

24,550

15. Three different subareas covered by different improvements were considered for the economic analysis: (a) 85,347 feddans of new areas with improved mesqas; (b) 24,546 feddans of improved areas under previous projects incorporating improved marwas; and (c) 95,385 feddans of areas provided with SSD works.

16. Economic results. The evaluation exercise conducted with FARMOD software allowed for the analysis at the crop/activity level, for showing representative farm models per type of improvement, and for the overall project area. Based on the stated assumptions, the project shows an ERR of 12.2 percent (instead of the 20.5 percent estimated at appraisal). The NPV at a discount rate of 6 percent (representing the marginal utility of consumption of the project beneficiary)22 was estimated at EGP 1,350 million (about US$153 million equivalent) as shown in Table 3.8. Using the same discount rate used for the analysis at appraisal (12 percent), the NPV was EGP 27.56 million, or about US$3.13 million equivalent. These result indicators are not considering significant additional benefits from (a) the employment generation during a period in which unemployment was exacerbated by the social unrest in the country; (b) the environmental and climate change impact; and (c) the improved conditions for supplying water to the city of Alexandria.

17. The nonquantified project impact. The project has spent a total of US$248 million in the period 2007–2016 mainly for small rural works, which are rather labor intensive. It is estimated that the equivalent of 26 million man-days of work have been created, plus a further 2 million annually for scheme O&M and for incremental labor as a result of increased agricultural intensification.

18. Climate change impact. The replacement of open mesqas from which farmers push water with diesel pumps individually, by underground piped mesqas served by communally managed electrical pumps, results in a significant reduction in the use of diesel and also a significant reduction of the emissions of the greenhouse gas CO2. The replacement of individual diesel pumping results in a decrease of 80.62 kg CO2 per feddan per year. With a total farm area of 85,200 feddans of improved mesqa area, it amounts to a reduction of 6,869 ton CO2 per year, not counting the CO2 emitted for the generation of the electrical power.

19. Another nonquantified benefit was the improved conditions for supplying water to the city of Alexandria which is 70 percent dependent on the Mahmoudia Canal for their drinking water supply. Because of constrictions in the Mahmoudia Canal in the Kafr El Dawar area, it was not possible to pass the required flow down the canal without excessively high water levels and with high risk of breaches. Four contracts with a combined value of over EGP 24.1 million were implemented to enlarge the capacity of the Mahmoudia Canal so that sufficient water could be delivered to Alexandria. Also, the dredging works below Kafr El Dawar from 44.77 km to 62.457 km ensured that the Mahmoudia Canal had sufficient capacity to supply the water requirements for Alexandria. 

20. Given the lower than anticipated economic results, the project efficiency is rated as modest. The overall result is lower than the appraisal estimate because (a) the project spent half of the budgeted amount (in 2004 real U.S. dollar) covering a smaller than the original planned area with improved mesqas and marwas and (b) implementation was delayed because of political unrest in 2011 and 2012. The main benefits are (a) an increase of about 10 percent in the gross value of agricultural production because of the combined effect of slightly higher yields obtained mainly at the tail ends of the water conveyance system and about 3 percent to 5 percent of recovered land for production and (b) a decrease in irrigation costs mainly because of the single-point electric pumping stations at the mesqa level, instead of thousands of individual farmers’ diesel pumps, together with reduced labor time required for irrigation. The lower irrigation costs are consistently reported on the M&E reports prepared by the WRMI and were also verified in the field by the ICR mission directly from beneficiaries.



Table 3.8. Economic Budget of the Project



Sensitivity Analysis

21. One of the major sources of benefits of the project is the reduction in irrigation costs, mainly from substituting diesel pumps for electricity pumps. In addition, the relative prices between diesel and electricity may not necessarily reflect the reality of their opportunity costs because of the existing distortions of the subsidy policies in Egypt. In the absence of a recent study for determining the CFs for these energy market prices, a sensitivity analysis was made using as a proxy the average values for diesel and electricity in the United States for estimating alternative CFs.23 The project ERR under these parameters becomes 12.3 percent and the NPV LE 1,372 million (US$155.9 million) when using 6 percent as discount rate or LE 37.1 million when using 12 percent as discount rate. These values are almost identical to those obtained in the base analysis.



Financial Analysis

22. Farm models allowed for the assessment of the project impact at the beneficiaries’ family income level. Seven farm models were built to represent the beneficiaries’ income increases induced by the project improvements. In the case of the first two subareas improved, they are represented by three farm sizes: 0.7 feddans, 1.5 feddans, and 4 feddans, while for the third subarea with SSD, a 1.5 feddans farm model was prepared. Tables 13 to 19 in the Appendix in project files present the financial budgets including changes in farmer net income for the seven farm models. In the farm budgets, full cost recovery of the on- and off-farm investments (up to mesqa level) was included to analyze the payment capacity of small farmers and the resulting net income after cost recovery. Farm models confirmed the financial justification of the project improvements and the expected impact on rural incomes where most of Egypt’s poor make their living.

23. Annual family benefits show a 5 percent to 12 percent increase after the improvements and after payment of the annual installments for cost recovery of the investment.24 The annual net income weighted average of benefited households has increased by 8.2 percent from US$5,957 to US$6,449 alleviating poverty in rural areas in Egypt. Table 3.9 shows the number of farms represented in the project areas, and the expected family income increases after full cost recovery of on-farm improvements.

Table 3.9. Farm Models and Expected Income Increases (EGP)






Income Increase After Debt Service

Model Size (feddan)

Area Per Type of Model (feddan)

Number of Farms

Farmers Net Income

(EGP/farm model)

Without Project

With Project

New Unimproved Project Areas







95,530

32,141







Model 0.75 feddans (6% of area)

5%

0.75

6,166

8,222

35,190

36,959

Model 1.5 feddans (31% of area)

6%

1.50

29,960

19,973

43,036

45,752

Model 4 feddans (63% of area)

10%

4.00

59,404

14,851

63,451

70,107

IIP and Other Projects Improved Area







24,550

11,062







Model 0.75 feddans (6% of area)

5%

0.75

1,585

2,113

37,063

38,761

Model 1.5 feddans (31% of area)

6%

1.50

7,699

5,133

45,692

48,580

Model 4 feddans (63% of area)

12%

4.00

15,266

3,816

68,925

76,957

SSD Improvements



















Model 1.5 feddan (100% of area)

8%

1.50

95,385

63,590

46,098

49,960

24. All farm models representing the results of the improvements confirmed the positive financial impact of the project in enhancing their family incomes. As shown in the detailed tables in the Appendix in project files, the project—through integrated on-farm and off-farm investments—allowed for productivity increases together with irrigation cost reductions. Household income increases after cost recovery ranges from 5 percent to 12 percent. The improvements had a direct influence on the land market values of the improved areas which show increases of about EGP 100,000 per feddan (about 50 percent) over the values before the improvements varying with the location of the improved farms.

25. As a conclusion of the analysis, it can be said that the economic and financial analysis confirmed that although having a lower impact than expected, the IIIMP had a positive impact for the country and for the beneficiaries. The results confirm a way forward to significantly improve water use efficiency in Egypt, agricultural productivity, and equity toward a shared prosperity.




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