FARMERS P REFERENCES FOR C LIMATE - S MART I NTERVENTIONS IN A GRICULTURE - IN R UPANDEHI N EPAL Research team Nagendra Bastakoti Snehalata Sainjoo Sona Shakya Punya Prasad Regmi Arun Khatri-Chetri
FARMERS PREFERENCES FOR CLIMATE-
SMART INTERVENTIONS IN
AGRICULTURE - IN RUPANDEHI NEPAL
Research team
Nagendra Bastakoti Snehalata Sainjoo Sona Shakya Punya Prasad Regmi Arun Khatri-Chetri
1. Introduction Background & case study description
Objectives
2. Methodology
3. Results & Discussion
4. Conclusions & recommendations
PRESENTATION OVERVIEW
1. INTRODUCTION
Farming systems
Mixed farming ?
Agriculture and forestry: 35% to GDP
Involved in agri.: food habit & lack of other economic
activities
Agriculture depends on Seasonal rainfall and temp.
Changes in rainfall pattern and temperature,
Rice and wheat: Vulnerable to CC
OBJECTIVE
To prioritize the Climate Smart Interventions in Rice and Wheat w.r.t. Farmers practice
To know the farmers’ Willingness-to-Pay for the climate smart technological options available for rice and wheat production in Rupandehi
Environmentally sound,
socially just and
economically viable techniques
2. METHODOLOGY : SITE SELECTION
Population in Agri.: 70% Arable land: 58% Rainfall: 1400-2000 mm Cropping pattern: >80% Rice-Wheat system
Rupandehi district
Study site- Rupandehi
Selection of VDCs
Selection of wards on each VDC
Field data collection
Primary data HH Survey- 71 FGD - 3 KII - 5
Secondary data Reports, Research findings
relevant to study
Random sampling
Purposive sampling: percentage of
cultivated area and
dominant soil type
Decision criteria
Preference ranking for each technological intervention
WTP calculation for each intervention
Prioritization of interventions based on index values & selection of top interventions for
rice and wheat
Estimation of composite index
Documentation: Climate smart interventions
INDICATORS USED FOR
INDEXING
Indicator Proxy indicator
Efficiency • Crop yield, Benefit-cost ratio,
& Unit cost of production
Equity • Employment generation
• Additional calorie produced
Gender • Female participation
Sustainability • Nitrogen use efficiency
• Energy use efficiency (Fuel)
Environmental
services
• Green house gas emission
• (Secondary source)
Steps for prioritizing climate smart interventions based
on Farmers’ preference and WTP
Farmers’ preference Ranking/scoring
of interventions
for each crops
(rice and wheat)
Assigned values
0-25=0 (Poor)
25-50= 1 (Low)
50-75=2(Medium)
75-100=3 (High) ……… WTP were estimated using the formulae
1
2 = Total wt. given for an each technology by ‘n’ group
n = number of groups
where N = number of available technology
DECISION FOR INTERVENTION
Technology with average wt. > mean wt.
have high weight for intervention
higher investment and vice versa.
3. RESULTS
Table 1: Population and land distribution
Characteristics Rupandehi
Family size 7.4
Unirrigated land (%, ha) 10 (0.413)
Partial irrigated land (%, ha) 14 (0.56)
Irrigated land holdings (%, ha) 84 (0.86)
Total land holdings (ha) 0.68
Agriculture involved population % 67
Economically Active population % 64
INDEX VALUE
Technology
intervention Efficiency Equity Gender
Sustainab
ility
Environ
mental Composite
Farmers Practice 100 100 100 100 100 100
DSR Hand Brod. 253 88 18 163 35 111
DSR using
machine 165 107 89 157 35 111
SRI 160 102 86 149 50 109
Zero Till DSR 208 74 0 253 45 116
Green Manuring 74 74 0 65 284 99
LLL 141 102 79 199 130
Table 2. Index Value for all technologies
INDICATORS SOWING INDEX
VALUES
Ranking of interventions of paddy (on the right side) and wheat
(on the left side) based on WTP
4. CONCLUSIONS AND
RECOMMENDATIONS
Some technologies of rice and wheat farmers willing to pay higher,
Site specific, availability
Farmers’ highly preferred technologies/services of rice: DSR-ZT, crop insurance, LLL-rice and agro-advisories,
Of wheat ZT-wheat, Power till seed drill, crop insurance and agro-advisories.
ACKNOWLEDGEMENTS
CCAFS South Asia
NDRI, Lalitpur Nepal
Thank you