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Assessment of the preference of smallholders' 
farmers on the adoption of irrigation techniques 
and soil conservation interventions in the Kikuletwa 
Catchment of Pangani River Basin, Tanzania. 
By: Magreth Fadhili Mziray 
Supervisors: Prof. Pieter van der Zaag 
Dr. Marloes Mul 
External examiner: Dr. Abraham Mehari Haile 
Smallholder System Innovations in Integrated Watershed Management
Outlines 
 Introduction 
 Problem statement 
 Objective and Research Questions 
 Methodology 
 Data analysis 
 Results and discussion 
 Conclusion and recommendations
1. Kikuletwa Catchment 
Location, size and population 
•The Kikuletwa River catchment is a part of 
Pangani river basin located in the North 
West of Pangani River Basin. Its 
originate from the streams of Mt. Meru and 
Mt. Kilimanjaro. It covers an area of about 
6930 km2 with a population of approx 1.7 
million people which is about 50% of all 
the people residing in the (Pangani River 
Basin 3.7M). 
•Pangani basin covers 43, 650 km2, 5% 
in Kenya and remainder in Tanzania. 
Climate 
•High altitude slopes of Mt. Meru and Mt. 
Kilimanjaro receive rainfall 2000 – 
2500mm/a. Lower parts, rainfall ranges 
300 – 600mm/a.
2. Problem statement 
 About 80% of Pangani River Basin’s population relies on agriculture, 
using traditional methods for SWC. For example, PBWO identified more 
than 2000 traditional furrows within the basin, and their irrigation 
efficiency among them are often as low as 15% (IUCN, 2007). About 
80% of water is lost from the point of abstraction to the destination point 
of which high percentage may not be recovered or reused. Yield 
production is also low. This therefore, results in low soil and water 
productivity. This implies also less water available for other users 
especially downstream including the environment. 
 Many studies / research have provided SWC techniques that have 
shown positive results in the water use efficiency, soil conservation and 
improved in crop yields. (Kosgei et al., 2007; Kahinda et al., 2007; 
Mupangwa et al., 2006; Rockström et al., 2002). However, the majority of 
the farmers continue to practise these traditional practices.
3. Objective and research questions 
 Objective: The main objective is to assess and understand the preferences 
of smallholder farmers to improved irrigation technologies and soil conservation 
interventions that lead to increased soil and water productivity and environmental 
sustainability in the river basin. 
 Research questions 
1. What irrigation techniques and soil conservation interventions are promoted for 
improved water productivity and environmental sustainability in Pangani River 
Basin? 
2. a) What techniques do farmers use to conserve soil and water in their farms? 
b) What are the main reasons for smallholder farmers not to adopt technologies 
that lead to improved soil and water productivity of the entire river basin? 
3. What are the preferences and the willingness of the smallholder farmers to adopt 
irrigation techniques and soil conservation interventions in the river basin? 
4. What are the socio economic factors influence the preferences of smallholder 
farmer's in choosing irrigation and soil conservation interventions?
4. Methodology 
 Choice experiment: Choice experimentation is a technique in 
which individuals choose their most preferred resource use option from a 
range of alternatives with different attributes and levels by using a choice 
card. 
 Steps. 
 Selection of attributes and levels for designing choice cards. 
- Different visits to NGOs and government departments 
- Secondary data 
 Designing choice cards using SPSS model 
 Data collection and processing 
 Analysis
Attributes and levels for irrigation techniques and soil 
conservation interventions used for designing choice cards 
Table 1: Attributes and levels for irrigation techniques 
Attribute Level 
Irrigation type Micro drip, Micro sprinkler , 
Improved furrow 
Financing level 40%,50%,80% 
Provider Microfinance, NGO 
Contract (years) 3,6 
Table 2: Attribute and levels for soil conservation interventions 
Attribute Level 
Terracing and gully erosion Grass strip, Fanya juu, Soil and 
stone bunds 
Tree planting and agroforestry Mixed farming, Hedging 
Subsidy 50%,80% 
Provider Government, NGO
Example of choice card 
Attributes/ 
Levels Choice 1 Choice 2 Choice 3 Choice 4 
Status 
quo 
Irrigation type 
Improved furrow Sprinkler Improved furrow 
Micro drip 
Financing level 40% 50% 50% 40% 
Provider Microfinance Microfinance NGOs Microfinance 
Contract period 
(years) 6 3 6 6 
Note: 'Status quo' refers to the ‘no change’ alternative, i.e. maintaining the existing utility of the 
current practice and receiving no compensation.
Data Collection 
Upstream Downstream 
- Weruweru ward in 
Kilimanjaro and Sakila 
village in Arusha 
-Mbuguni ward in 
Arusha region 
-2 choice sets were 
used - Hilly terrain 
-1 choice set. Low land 
suited for irrigation only 
Note: Sakila village where the soil 
conservation interventions data 
observations were discarded because the 
enumerators didn’t undertake the survey 
correctly. 
Map showing upstream and downstream catchment surveyed villages
Table3: Summary for locations of the interview 
Ward Village Total 
number/village 
Number of 
interview for 
each village 
Total Choice Card 
Mbuguni 
Msitu wa mbogo 1500 54 
104 
Irrigation 
measure 
Kikuletwa 1000 50 
Weruweru 
Tella-Lyamungo 1500 47 
97 
Irrigation and 
Soil 
conservation 
Narum-Orori 1300 50 
Total 5,300 201 201
Data analysis 
NLOGIT model: 
• Statistical model for distribution and interpretation of the 
utility functions for the survey. 
• The analysis based on the followings: 
 Characteristics of the smallholders farmers for upstream, downstream and 
catchment level. 
 Preferences of smallholders farmers on irrigation technologies and soil 
conservation interventions. 
 Principal socio economic factors.
5.Results: 5.1: Table 3: Characteristics of the surveyed smallholders farmers 
Sample size 201 97 104 
Whole Catchment Upstream Downstream 
Age classification (%) Below 30 (years) 4.5 6.19 2.88 
30-50 (years) 56.2 43.3 68.27 
Above 50 (years) 39.3 50.1 28.89 
Gender (%) 
Female 16.9 14.4 19.2 
Male 83.1 85.6 80.8 
Income (Tshs/Month) 
Mean 
103,000 95,000 110,000 
Minimum 
20,000 20,000 15,000 
Maximum 
925,000 400,000 925,000 
Family size (No) Mean 
5.6 5.6 5.6 
Minimum 
1 2 1 
Maximum 
11 11 10 
Farm size (ha) Mean 
3.1 2.3 3.8 
Minimum 
0.3 0.5 0.3 
Maximum 50 14 50 
Education (%) Literate 89.5 90.7 88.5 
Illiterate 10.5 9.3 11.5 
Land ownership (%) 98 
100 96.15
5.2 : Choice model results 
Table 4: Choice model results for Irrigation technologies 
Attributes / levels Coefficient of utility function 
Variables 
Whole catchment Upstream Downstream 
Drip -0.63 -0.87 -0.44 
Sprinkler -0.30 -0.13 -0.39 
Alternate Furrow (AF) 1.11 1.82 0.52 
Microfinance 0.27 0.72 -0.02 
NGO -0.10 0.09 -0.29 
Finance -0.003 0.01 -0.01 
Contract 0.19 0.05 0.33 
ASC* -0.17 -0.81 0.31 
Statistics 
R2 (McFadden) 0.25 0.37 0.27 
Log likelihood -1089 -391 -617 
No. of Observations 804 388 416 
*ASC is Alternative Specific Constant which represents the status quo option
Table 5: Choice model results for Soil conservation interventions 
Attributes / levels Coefficient of utility function 
Variables 
Fanya juu -0.38 
Grass strip 1.11 
Soil and stone bunds (SSB) -0.43 
Mixed farming 0.39 
Hedging -0.09 
Subsidy 0.02 
NGO 0.08 
Government 0.22 
ASC -0.30 
Statistics 
R2 (McFadden) 0.25 
Log likelihood -464 
No. of Observations 388
5.3 Socio economic factors 
Table 6: Irrigation techniques and socio economic characteristics 
Attributes / 
levels 
Coefficient of utility function 
Variables Family size (No) Farm Size (Ha) Income (Tz Shillings / Month) 
< = 4 > 4 < 3 >= 3 < 1 > = 1 
Drip -0.70 -0.60 -0.74 -0.44 -0.65 -0.60 
Sprinkler -0.14 -0.37 -0.37 -0.19 -0.41 -0.17 
Alternative 
Furrow 1.11 1.11 1.40 0.72 1.13 1.07 
Microfinance 0.31 0.26 0.35 0.19 0.27 0.27 
NGO -0.04 -1.11 -0.06 -0.11 -0.20 0.03 
Finance -0.01 0.00 -0.01 0.00 0.00 -0.01 
CONTRACT 0.16 0.21 0.16 0.24 0.21 0.18 
ASC* -0.27 -0.14 -0.29 0.09 -0.07 -0.30 
Number for 
each group 63 138 123 78 115 86 
Statistics R2 
(McFadden) 0.24 0.27 0.20 0.21 0.27 0.24 
Log likeli hood -350 -735 -627 -441 -614 -473 
No. of 
Observations 252 552 492 312 460 344
Table 7: Soil conservation interventions and socio economic characteristics 
Attributes / 
levels Coefficient of utility function 
Variables Family size (No) Farm Size (Ha) Income** (Tz Shillings / 
Month) 
All class < 5 >= 5 < =2 > 2 < 1 >= 1 
Fanya juu -0.38 -0.19 -0.48 -0.35 -0.43 -0.25 -0.42 
Grass strip 1.11 0.94 1.20 1.16 1.02 1.32 0.91 
Soil and stone 
bunds -0.43 -0.66 -0.33 -0.61 -0.12 -0.97 0.32 
Mixed farming 0.39 0.14 0.51 0.40 0.37 0.28 0.67 
Hedging -0.09 -0.05 -0.12 -0.20 0.10 -0.18 0.15 
Subsidy 0.02 0.02 0.02 0.02 0.02 0.02 0.02 
NGO 0.08 -0.27 0.23 -0.03 0.24 -0.07 0.43 
Government 0.22 0.36 0.16 0.22 0.23 0.17 0.38 
ASC -0.30 -0.09 -0.40 -0.20 -0.47 -0.10 -0.81 
Number for 
different 
groups 97 29 68 66 31 63 34 
Statistics R2 (McFadden) 
0.254 0.23 0.28 0.28 0.22 0.29 0.25 
Log likelihood 
-464.428 -143 -316 -305 -156 -285 -163 
No. of 
Observations 388 116 272 264 124 252 136
Challenges 
 The expansive areas of the survey chosen with key stakeholders. 
 The enumerator required training and supervision which was not 
adequate because of time limitations.
6. Conclusion 
Irrigation 
 98% of the surveyed farmers are currently implementing traditional furrow 
irrigation. 
 The study found that the farmers willing to adopt improved irrigation 
technologies that provided them with higher utility or welfare than the ones they 
are currently using i.e. traditional furrow irrigation. 
 The alternate furrow irrigation was found to be the preferred technology for 
catchment, upstream catchment as well as the downstream. 
Soil conservation interventions 
 97 smallholders in the upstream catchment were also surveyed: 
 Terraces: grass strip 
 Agroforestry: mixed farming and hedging
Cont.. 
Socio economic analysis of key factors: 
No change on the overall preference: 
 However, there is a slightly improvement in the utility of sprinkler 
irrigation for larger farm size and higher income classes which 
resulted in a lower utility for alternate furrow irrigation. Similarly, 
hedging, an agroforesty technique showed positive utility for the larger 
farm sizes and higher income classes in the soil conservation 
interventions.
Recommendations 
 Education for smallholder farmers of the Kikuletwa catchment (pilot 
farms & role plays that demonstrates explicitly the benefits of Irrigation 
technologies and SWC interventions to the farmers and entire basin) 
 More research on improving furrow irrigation systems 
 Limited research 
 It’s the preferred technology 
 The finding of the preferences of the smallholders' farmers should be 
taken into consideration by policy makers and implementation agencies 
including Government bodies on the successful uptake of interventions 
in the river basin.
THANK YOU

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Assessment of the preference of smallholders' farmers on the adoption of soil and water conservation techniques/ interventions in the Kikuletwa Catchment of Pangani River Basin, Tanzania.

  • 1. Assessment of the preference of smallholders' farmers on the adoption of irrigation techniques and soil conservation interventions in the Kikuletwa Catchment of Pangani River Basin, Tanzania. By: Magreth Fadhili Mziray Supervisors: Prof. Pieter van der Zaag Dr. Marloes Mul External examiner: Dr. Abraham Mehari Haile Smallholder System Innovations in Integrated Watershed Management
  • 2. Outlines  Introduction  Problem statement  Objective and Research Questions  Methodology  Data analysis  Results and discussion  Conclusion and recommendations
  • 3. 1. Kikuletwa Catchment Location, size and population •The Kikuletwa River catchment is a part of Pangani river basin located in the North West of Pangani River Basin. Its originate from the streams of Mt. Meru and Mt. Kilimanjaro. It covers an area of about 6930 km2 with a population of approx 1.7 million people which is about 50% of all the people residing in the (Pangani River Basin 3.7M). •Pangani basin covers 43, 650 km2, 5% in Kenya and remainder in Tanzania. Climate •High altitude slopes of Mt. Meru and Mt. Kilimanjaro receive rainfall 2000 – 2500mm/a. Lower parts, rainfall ranges 300 – 600mm/a.
  • 4. 2. Problem statement  About 80% of Pangani River Basin’s population relies on agriculture, using traditional methods for SWC. For example, PBWO identified more than 2000 traditional furrows within the basin, and their irrigation efficiency among them are often as low as 15% (IUCN, 2007). About 80% of water is lost from the point of abstraction to the destination point of which high percentage may not be recovered or reused. Yield production is also low. This therefore, results in low soil and water productivity. This implies also less water available for other users especially downstream including the environment.  Many studies / research have provided SWC techniques that have shown positive results in the water use efficiency, soil conservation and improved in crop yields. (Kosgei et al., 2007; Kahinda et al., 2007; Mupangwa et al., 2006; Rockström et al., 2002). However, the majority of the farmers continue to practise these traditional practices.
  • 5. 3. Objective and research questions  Objective: The main objective is to assess and understand the preferences of smallholder farmers to improved irrigation technologies and soil conservation interventions that lead to increased soil and water productivity and environmental sustainability in the river basin.  Research questions 1. What irrigation techniques and soil conservation interventions are promoted for improved water productivity and environmental sustainability in Pangani River Basin? 2. a) What techniques do farmers use to conserve soil and water in their farms? b) What are the main reasons for smallholder farmers not to adopt technologies that lead to improved soil and water productivity of the entire river basin? 3. What are the preferences and the willingness of the smallholder farmers to adopt irrigation techniques and soil conservation interventions in the river basin? 4. What are the socio economic factors influence the preferences of smallholder farmer's in choosing irrigation and soil conservation interventions?
  • 6. 4. Methodology  Choice experiment: Choice experimentation is a technique in which individuals choose their most preferred resource use option from a range of alternatives with different attributes and levels by using a choice card.  Steps.  Selection of attributes and levels for designing choice cards. - Different visits to NGOs and government departments - Secondary data  Designing choice cards using SPSS model  Data collection and processing  Analysis
  • 7. Attributes and levels for irrigation techniques and soil conservation interventions used for designing choice cards Table 1: Attributes and levels for irrigation techniques Attribute Level Irrigation type Micro drip, Micro sprinkler , Improved furrow Financing level 40%,50%,80% Provider Microfinance, NGO Contract (years) 3,6 Table 2: Attribute and levels for soil conservation interventions Attribute Level Terracing and gully erosion Grass strip, Fanya juu, Soil and stone bunds Tree planting and agroforestry Mixed farming, Hedging Subsidy 50%,80% Provider Government, NGO
  • 8. Example of choice card Attributes/ Levels Choice 1 Choice 2 Choice 3 Choice 4 Status quo Irrigation type Improved furrow Sprinkler Improved furrow Micro drip Financing level 40% 50% 50% 40% Provider Microfinance Microfinance NGOs Microfinance Contract period (years) 6 3 6 6 Note: 'Status quo' refers to the ‘no change’ alternative, i.e. maintaining the existing utility of the current practice and receiving no compensation.
  • 9. Data Collection Upstream Downstream - Weruweru ward in Kilimanjaro and Sakila village in Arusha -Mbuguni ward in Arusha region -2 choice sets were used - Hilly terrain -1 choice set. Low land suited for irrigation only Note: Sakila village where the soil conservation interventions data observations were discarded because the enumerators didn’t undertake the survey correctly. Map showing upstream and downstream catchment surveyed villages
  • 10. Table3: Summary for locations of the interview Ward Village Total number/village Number of interview for each village Total Choice Card Mbuguni Msitu wa mbogo 1500 54 104 Irrigation measure Kikuletwa 1000 50 Weruweru Tella-Lyamungo 1500 47 97 Irrigation and Soil conservation Narum-Orori 1300 50 Total 5,300 201 201
  • 11. Data analysis NLOGIT model: • Statistical model for distribution and interpretation of the utility functions for the survey. • The analysis based on the followings:  Characteristics of the smallholders farmers for upstream, downstream and catchment level.  Preferences of smallholders farmers on irrigation technologies and soil conservation interventions.  Principal socio economic factors.
  • 12. 5.Results: 5.1: Table 3: Characteristics of the surveyed smallholders farmers Sample size 201 97 104 Whole Catchment Upstream Downstream Age classification (%) Below 30 (years) 4.5 6.19 2.88 30-50 (years) 56.2 43.3 68.27 Above 50 (years) 39.3 50.1 28.89 Gender (%) Female 16.9 14.4 19.2 Male 83.1 85.6 80.8 Income (Tshs/Month) Mean 103,000 95,000 110,000 Minimum 20,000 20,000 15,000 Maximum 925,000 400,000 925,000 Family size (No) Mean 5.6 5.6 5.6 Minimum 1 2 1 Maximum 11 11 10 Farm size (ha) Mean 3.1 2.3 3.8 Minimum 0.3 0.5 0.3 Maximum 50 14 50 Education (%) Literate 89.5 90.7 88.5 Illiterate 10.5 9.3 11.5 Land ownership (%) 98 100 96.15
  • 13. 5.2 : Choice model results Table 4: Choice model results for Irrigation technologies Attributes / levels Coefficient of utility function Variables Whole catchment Upstream Downstream Drip -0.63 -0.87 -0.44 Sprinkler -0.30 -0.13 -0.39 Alternate Furrow (AF) 1.11 1.82 0.52 Microfinance 0.27 0.72 -0.02 NGO -0.10 0.09 -0.29 Finance -0.003 0.01 -0.01 Contract 0.19 0.05 0.33 ASC* -0.17 -0.81 0.31 Statistics R2 (McFadden) 0.25 0.37 0.27 Log likelihood -1089 -391 -617 No. of Observations 804 388 416 *ASC is Alternative Specific Constant which represents the status quo option
  • 14. Table 5: Choice model results for Soil conservation interventions Attributes / levels Coefficient of utility function Variables Fanya juu -0.38 Grass strip 1.11 Soil and stone bunds (SSB) -0.43 Mixed farming 0.39 Hedging -0.09 Subsidy 0.02 NGO 0.08 Government 0.22 ASC -0.30 Statistics R2 (McFadden) 0.25 Log likelihood -464 No. of Observations 388
  • 15. 5.3 Socio economic factors Table 6: Irrigation techniques and socio economic characteristics Attributes / levels Coefficient of utility function Variables Family size (No) Farm Size (Ha) Income (Tz Shillings / Month) < = 4 > 4 < 3 >= 3 < 1 > = 1 Drip -0.70 -0.60 -0.74 -0.44 -0.65 -0.60 Sprinkler -0.14 -0.37 -0.37 -0.19 -0.41 -0.17 Alternative Furrow 1.11 1.11 1.40 0.72 1.13 1.07 Microfinance 0.31 0.26 0.35 0.19 0.27 0.27 NGO -0.04 -1.11 -0.06 -0.11 -0.20 0.03 Finance -0.01 0.00 -0.01 0.00 0.00 -0.01 CONTRACT 0.16 0.21 0.16 0.24 0.21 0.18 ASC* -0.27 -0.14 -0.29 0.09 -0.07 -0.30 Number for each group 63 138 123 78 115 86 Statistics R2 (McFadden) 0.24 0.27 0.20 0.21 0.27 0.24 Log likeli hood -350 -735 -627 -441 -614 -473 No. of Observations 252 552 492 312 460 344
  • 16. Table 7: Soil conservation interventions and socio economic characteristics Attributes / levels Coefficient of utility function Variables Family size (No) Farm Size (Ha) Income** (Tz Shillings / Month) All class < 5 >= 5 < =2 > 2 < 1 >= 1 Fanya juu -0.38 -0.19 -0.48 -0.35 -0.43 -0.25 -0.42 Grass strip 1.11 0.94 1.20 1.16 1.02 1.32 0.91 Soil and stone bunds -0.43 -0.66 -0.33 -0.61 -0.12 -0.97 0.32 Mixed farming 0.39 0.14 0.51 0.40 0.37 0.28 0.67 Hedging -0.09 -0.05 -0.12 -0.20 0.10 -0.18 0.15 Subsidy 0.02 0.02 0.02 0.02 0.02 0.02 0.02 NGO 0.08 -0.27 0.23 -0.03 0.24 -0.07 0.43 Government 0.22 0.36 0.16 0.22 0.23 0.17 0.38 ASC -0.30 -0.09 -0.40 -0.20 -0.47 -0.10 -0.81 Number for different groups 97 29 68 66 31 63 34 Statistics R2 (McFadden) 0.254 0.23 0.28 0.28 0.22 0.29 0.25 Log likelihood -464.428 -143 -316 -305 -156 -285 -163 No. of Observations 388 116 272 264 124 252 136
  • 17. Challenges  The expansive areas of the survey chosen with key stakeholders.  The enumerator required training and supervision which was not adequate because of time limitations.
  • 18. 6. Conclusion Irrigation  98% of the surveyed farmers are currently implementing traditional furrow irrigation.  The study found that the farmers willing to adopt improved irrigation technologies that provided them with higher utility or welfare than the ones they are currently using i.e. traditional furrow irrigation.  The alternate furrow irrigation was found to be the preferred technology for catchment, upstream catchment as well as the downstream. Soil conservation interventions  97 smallholders in the upstream catchment were also surveyed:  Terraces: grass strip  Agroforestry: mixed farming and hedging
  • 19. Cont.. Socio economic analysis of key factors: No change on the overall preference:  However, there is a slightly improvement in the utility of sprinkler irrigation for larger farm size and higher income classes which resulted in a lower utility for alternate furrow irrigation. Similarly, hedging, an agroforesty technique showed positive utility for the larger farm sizes and higher income classes in the soil conservation interventions.
  • 20. Recommendations  Education for smallholder farmers of the Kikuletwa catchment (pilot farms & role plays that demonstrates explicitly the benefits of Irrigation technologies and SWC interventions to the farmers and entire basin)  More research on improving furrow irrigation systems  Limited research  It’s the preferred technology  The finding of the preferences of the smallholders' farmers should be taken into consideration by policy makers and implementation agencies including Government bodies on the successful uptake of interventions in the river basin.