nagendra bastakoti

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