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Preliminary 
Findings from 
First Survey 
Round 
Emily McNulty 
November 2014 
Project: Policies and 
Institutions for Achieving 
the Virtuous Food- 
Energy-Water Nexus in 
Sub-Saharan Africa
Contents 
1. Description of first survey round 
2. Micro-level overview of study area 
• Food: Farm production, food security 
• Water: Irrigation practices, irrigation scheme preferences, 
willingness to contribute to irrigation schemes 
• Energy: Fuel sources, improved cookstove use, WTP for 
improved cookstoves 
1. Upcoming research steps 
2. Discussion 
2
Description of first survey round 
3
Map of selected villages in Dedza 
4
Micro-level overview 
of study area 
5
Food: Crop production 
• Average farm 
size: 3 acres 
(cultivated land) 
• Positive skew 
(paddy rice and 
witches) 
• 50th percentile is 
2.5 acres 
6 
0 .1 .2 .3 
Density 
0 10 20 30 40 
(sum) PTAREA
Food: Crop production 
7 
Crop Yields (in Kg) per Household 
Crop Mean 50th Percentile 
Maize 1071 720 
Sorghum 94 30 
Millet 133 128 
Irish Potato 477 360 
Sweet Potato 590 375 
Cassava 865 720 
Beans 419 78 
Lentils 117 117 
Paddy Rice 3030 1801 
Sugarcane 135 135 
Pigeon Peas 262 176 
Cotton 421 150 
Soy 274 176 
Tobacco 156 80 
Groundnuts 4206 164 
Vegetables 162 80 
Fruit 350 350 
Cowpeas 350 137
Food: Dietary diversity scores 
8 
• 10 food groups, roughly 
divided by nutrients 
provided 
• Quick assessment 
(Kennedy, Ballard, & Dop, 
2010) 
• Household level 
• 24 hour recall period 
• Score is number of food 
groups eaten
Food: DDS and legume consumption 
9 
• Average score = 5 
• Protein levels may be a 
concern 
• Legume consumption 
may increase with 
improved cookstove 
adoption (energy 
security) 
• Unsatisfactory 
preliminary results for 
legume consumption 
 need to check 
conversion factors 
Consumption Rates of Food Groups Among 
Households 
Food group Frequency 
Cereals 96% 
White tubers, roots 57% 
Vegetables 86% 
Fruit 30% 
Meat 18% 
Eggs 13% 
Fish, seafood 19% 
Legumes, nuts, seeds 69% 
Milk, dairy products 12% 
Oils, fats 51% 
Sugar, sweets 37% 
Spices, condiments, beverages 30%
Food: Shortages 
Food Shortages Experienced in Previous Year 
Frequency Percentage of Households 
Not at all 50% 
A few days per year 18% 
Several days per year 16% 
Several days per month 7% 
Several days per week 10% 
• Is self reporting accurate enough? 
• Pride 
• Stunting 
• The Nsima Factor 10
Water: Irrigation practices 
• Of the 300 HHs, 118 use irrigation 
• Improved irrigation may: 
• increase yields (food security) 
• allow for consecutive harvests in 
one year 
• free up labor for other activities 
(time labor allocation) 
11 
Use of Irrigation Technologies 
Technology Frequency 
Bucket/watering can 69% 
Treadle Pump 4% 
Motorized Pump 2% 
Canal/gravity fed 19% 
Drip 0% 
Bound basin flood 5% 
Top Reasons for Not Using an Irrigation Technology 
Not 
enough 
water 
Too time 
consuming 
Too 
expensive 
Lack of 
know-how 
Bucket/Watering can X X 
Treadle pump X X 
Motorized pump X X 
Canal/gravity fed X X 
Drip irrigation X X X 
Bound basin flooding X X
Water: Willingness to contribute to 
hypothetical irrigation schemes 
12 
• Irrigation Management Transfer (IMT): two case studies in 
Likangala and Domasi (Nkhoma & Mulwafu, 2004) 
• Farmers become the main stakeholders, take ownership over 
schemes: construct, maintain, manage 
• Some difficulties in management transfer: what exactly are 
farmers willing to contribute?
Water: Willingness to contribute to 
hypothetical irrigation schemes 
Preferred Technologies for 
Hypothetical Irrigation Scheme 
Technology Frequency 
Motorized pump 102 
Treadle pump 99 
Canal/gravity fed 40 
Drip irrigation 34 
Bound basin/paddy 8 
Bucket/watering can 1 
13 
Willingness to Contribute* to Hypothetical Irrigation Scheme 
Construction/Set-up Maintenance Management 
Temporal Monetary Temporal Monetary Temporal Monetary 
Technology 
Unpaid 
labor 
hours per 
week 
Total 
(Kwacha) 
Unpaid 
labor 
hours per 
year 
Annual 
(Kwacha) 
Unpaid 
labor 
hours per 
year 
Annual 
(Kwacha) 
Treadle pump 0 1000 60 1000 48 1000 
Motorized pump 12 1000 76 1000 50 1000 
Canal/gravity fed 7 1000 55 1000 36 600 
Drip irrigation 6 1000 64 1000 36 700 
Bound 
basin/paddy 5 625 20 700 15 500 
*50th percentile
Energy: Fuel sources 
Main Fuel Sources 
Frequency 
Fuel Rainy Season Dry Season 
Firewood 95% 88% 
Charcoal 4% 1% 
Crop Residues 2% 12% 
14 
• Rural area: mostly 
firewood 
•More charcoal used 
during rainy season 
• Extension agents are 
promoting use of crop 
residues
Energy: Cookstoves and health 
15 
Stove Related Health Issues* 
Affliction** Frequency 
Illness with a cough 44% 
Cough with short, rapid breaths 20% 
Cough affected ability to work 22% 
*of those present in the same room as the 
stove while the fire is active 
**in the six months preceding the survey 
Photos by RocketWorks and Stefan Meyer, 2014 
• 7% of those present in the kitchen while fire was active had 
at least one eye infection in the six months preceding the 
survey (food security)
Energy: WTP for improved cookstoves 
16 
• Clay stove will be sold 
for 1,200 kwacha 
• Metal stove will be 
sold for 2,000 kwacha
Upcoming research steps 
• Sales of improved cookstoves 
• More detailed analyses, regressions, socioeconomic 
characteristics and their impacts on variables 
• Choice experiment analyses 
• Improved cookstove pricing, fuel reduction 
• Fertilizer coupons or cash transfers conditional on 
agroforestry adoption 
• Second survey round (May to June 2015) 
17
Discussion 
Irrigation management transfer 
• What challenges are there? 
• Are there success stories yet? Elsewhere in SSA? 
Improved cookstoves 
• What does the future of ICS in Malawi look like? Is this a 
political/donor fad? 
• What will it take for ICS producers to thrive in the free 
market/without subsidy? 
18
19 
Sources 
Kennedy, G., Ballard, T., & Dop, M. (2010). Guidelines for 
measuring household and individual dietary diversity. 
Nutrition and Consumer Protection Division, Food and 
Agriculture Organization of the United Nations. Retrieved 
October 10, 2014, from 
http://www.fao.org/docrep/014/i1983e/i1983e00.pdf 
Nkhoma, B. G., & Mulwafu, W. O. (2004). The experience of 
irrigation management transfer in two irrigation schemes in 
Malawi, 1960s–2002. Physics and Chemistry of the Earth, 
Parts A/B/C, 29(15-18), 1327–1333. 
doi:10.1016/j.pce.2004.09.007

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Wtp cookstove irrigation_mc_nulty

  • 1. Preliminary Findings from First Survey Round Emily McNulty November 2014 Project: Policies and Institutions for Achieving the Virtuous Food- Energy-Water Nexus in Sub-Saharan Africa
  • 2. Contents 1. Description of first survey round 2. Micro-level overview of study area • Food: Farm production, food security • Water: Irrigation practices, irrigation scheme preferences, willingness to contribute to irrigation schemes • Energy: Fuel sources, improved cookstove use, WTP for improved cookstoves 1. Upcoming research steps 2. Discussion 2
  • 3. Description of first survey round 3
  • 4. Map of selected villages in Dedza 4
  • 5. Micro-level overview of study area 5
  • 6. Food: Crop production • Average farm size: 3 acres (cultivated land) • Positive skew (paddy rice and witches) • 50th percentile is 2.5 acres 6 0 .1 .2 .3 Density 0 10 20 30 40 (sum) PTAREA
  • 7. Food: Crop production 7 Crop Yields (in Kg) per Household Crop Mean 50th Percentile Maize 1071 720 Sorghum 94 30 Millet 133 128 Irish Potato 477 360 Sweet Potato 590 375 Cassava 865 720 Beans 419 78 Lentils 117 117 Paddy Rice 3030 1801 Sugarcane 135 135 Pigeon Peas 262 176 Cotton 421 150 Soy 274 176 Tobacco 156 80 Groundnuts 4206 164 Vegetables 162 80 Fruit 350 350 Cowpeas 350 137
  • 8. Food: Dietary diversity scores 8 • 10 food groups, roughly divided by nutrients provided • Quick assessment (Kennedy, Ballard, & Dop, 2010) • Household level • 24 hour recall period • Score is number of food groups eaten
  • 9. Food: DDS and legume consumption 9 • Average score = 5 • Protein levels may be a concern • Legume consumption may increase with improved cookstove adoption (energy security) • Unsatisfactory preliminary results for legume consumption  need to check conversion factors Consumption Rates of Food Groups Among Households Food group Frequency Cereals 96% White tubers, roots 57% Vegetables 86% Fruit 30% Meat 18% Eggs 13% Fish, seafood 19% Legumes, nuts, seeds 69% Milk, dairy products 12% Oils, fats 51% Sugar, sweets 37% Spices, condiments, beverages 30%
  • 10. Food: Shortages Food Shortages Experienced in Previous Year Frequency Percentage of Households Not at all 50% A few days per year 18% Several days per year 16% Several days per month 7% Several days per week 10% • Is self reporting accurate enough? • Pride • Stunting • The Nsima Factor 10
  • 11. Water: Irrigation practices • Of the 300 HHs, 118 use irrigation • Improved irrigation may: • increase yields (food security) • allow for consecutive harvests in one year • free up labor for other activities (time labor allocation) 11 Use of Irrigation Technologies Technology Frequency Bucket/watering can 69% Treadle Pump 4% Motorized Pump 2% Canal/gravity fed 19% Drip 0% Bound basin flood 5% Top Reasons for Not Using an Irrigation Technology Not enough water Too time consuming Too expensive Lack of know-how Bucket/Watering can X X Treadle pump X X Motorized pump X X Canal/gravity fed X X Drip irrigation X X X Bound basin flooding X X
  • 12. Water: Willingness to contribute to hypothetical irrigation schemes 12 • Irrigation Management Transfer (IMT): two case studies in Likangala and Domasi (Nkhoma & Mulwafu, 2004) • Farmers become the main stakeholders, take ownership over schemes: construct, maintain, manage • Some difficulties in management transfer: what exactly are farmers willing to contribute?
  • 13. Water: Willingness to contribute to hypothetical irrigation schemes Preferred Technologies for Hypothetical Irrigation Scheme Technology Frequency Motorized pump 102 Treadle pump 99 Canal/gravity fed 40 Drip irrigation 34 Bound basin/paddy 8 Bucket/watering can 1 13 Willingness to Contribute* to Hypothetical Irrigation Scheme Construction/Set-up Maintenance Management Temporal Monetary Temporal Monetary Temporal Monetary Technology Unpaid labor hours per week Total (Kwacha) Unpaid labor hours per year Annual (Kwacha) Unpaid labor hours per year Annual (Kwacha) Treadle pump 0 1000 60 1000 48 1000 Motorized pump 12 1000 76 1000 50 1000 Canal/gravity fed 7 1000 55 1000 36 600 Drip irrigation 6 1000 64 1000 36 700 Bound basin/paddy 5 625 20 700 15 500 *50th percentile
  • 14. Energy: Fuel sources Main Fuel Sources Frequency Fuel Rainy Season Dry Season Firewood 95% 88% Charcoal 4% 1% Crop Residues 2% 12% 14 • Rural area: mostly firewood •More charcoal used during rainy season • Extension agents are promoting use of crop residues
  • 15. Energy: Cookstoves and health 15 Stove Related Health Issues* Affliction** Frequency Illness with a cough 44% Cough with short, rapid breaths 20% Cough affected ability to work 22% *of those present in the same room as the stove while the fire is active **in the six months preceding the survey Photos by RocketWorks and Stefan Meyer, 2014 • 7% of those present in the kitchen while fire was active had at least one eye infection in the six months preceding the survey (food security)
  • 16. Energy: WTP for improved cookstoves 16 • Clay stove will be sold for 1,200 kwacha • Metal stove will be sold for 2,000 kwacha
  • 17. Upcoming research steps • Sales of improved cookstoves • More detailed analyses, regressions, socioeconomic characteristics and their impacts on variables • Choice experiment analyses • Improved cookstove pricing, fuel reduction • Fertilizer coupons or cash transfers conditional on agroforestry adoption • Second survey round (May to June 2015) 17
  • 18. Discussion Irrigation management transfer • What challenges are there? • Are there success stories yet? Elsewhere in SSA? Improved cookstoves • What does the future of ICS in Malawi look like? Is this a political/donor fad? • What will it take for ICS producers to thrive in the free market/without subsidy? 18
  • 19. 19 Sources Kennedy, G., Ballard, T., & Dop, M. (2010). Guidelines for measuring household and individual dietary diversity. Nutrition and Consumer Protection Division, Food and Agriculture Organization of the United Nations. Retrieved October 10, 2014, from http://www.fao.org/docrep/014/i1983e/i1983e00.pdf Nkhoma, B. G., & Mulwafu, W. O. (2004). The experience of irrigation management transfer in two irrigation schemes in Malawi, 1960s–2002. Physics and Chemistry of the Earth, Parts A/B/C, 29(15-18), 1327–1333. doi:10.1016/j.pce.2004.09.007

Editor's Notes

  1. Havent had time to look at the outliers, will take a while to evaluate the different types of farmers and their crops, so i present 50th percentile because i think ist more representative than mean
  2. Havent had time to look at the outliers, will take a while to evaluate the different types of farmers and their crops, so i present 50th percentile because i think ist more representative than mean Say which crops are grown where. WILL compare yields per acre with national/international abverages!!
  3. I did legume statistics, but very unhappy with results. Need to check conversion factors!!!
  4. Which socioeconomic factors affect farmers’ willingness to contribute to irrigation schemes Are poorer households more willing to contribute labor? Are households with more available labor less willing to contribute money?
  5. (will be compatible with improved cookstove adoption)
  6. These results are from the baseline questionnaire, Section 14, Question 8: “How much would you be willing to pay for each of these improved cook stoves?” Prior to the interview, respondents were given a brief overview of the functioning, and the pros and cons of both stoves, and they were able to touch and examine them in a group setting. Which socioeconomic factors affect farmers’ willingness to pay? (e.g. Are female headed households willing to pay more? Are households further from the forest willing to pay more?)