16
What is the Impact of Livelihood Strategies on Farmers’ Climate Risk Perceptions in the Bolivian Highlands? Lisa Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Lisa Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

  • Upload
    koko

  • View
    27

  • Download
    3

Embed Size (px)

DESCRIPTION

What is the Impact of Livelihood Strategies on Farmers’ Climate Risk Perceptions in the Bolivian Highlands?. Lisa Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008. Introduction. Risk Management Strategies  Climate Risk Perceptions - PowerPoint PPT Presentation

Citation preview

Page 1: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

What is the Impact of Livelihood Strategies on Farmers’ Climate Risk Perceptions in the

Bolivian Highlands?

Lisa ReesDepartment of Agricultural EconomicsUniversity of Missouri-ColumbiaDecember 5, 2008

Page 2: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Introduction• Risk Management Strategies Climate Risk Perceptions

• Ordinal Logistic Regression▫ Dread▫ Diversification▫ Access to Credit▫ Climate Knowledge

• Focus Groups conducted▫ Weather/Climate Change▫ Weather Event Severity▫ Ex-Ante Risk Management Strategies▫ Ex-Post Risk Management Strategies

Page 3: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Objectives

• Main objective- Understand how farmers’ climate risk perceptions are impacted by livelihood strategies▫ Perceptions are linked to their assets (financial

capital and social capital) within their livelihood

• Specific objective 1- Identify and describe farmers’ climate risk perceptions of climate hazards▫ Identify differences by region

Page 4: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Literature• Livelihood and Risk Management Strategy

▫ Livelihoods are created by livelihood resources natural capital, financial capital, human capital and social capital

▫ Ex-Ante Risk Management Strategies (Morduch, 1995) Diversification Off-Farm Income

▫ Ex-Post Risk Management Strategies (Morduch, 1995 Credit Insurance

• Risk Perception▫ Psychometric model is risk perception being a function of the

properties of the hazard (Sjoberg, 2000)▫ Slovic (1987) identified dread and unknown

Page 5: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Conceptual Framework

Household

RiskManagement

Actual Risk Level Risk Perception

Unknown

Dread

Risk Attitude

LivelihoodStrategies

Unknown

Dread

Initial Risk Perception

TIME

Page 6: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Hypotheses• H1: diversified portfolio lower climate risk

perceptions

• H2: access to credit lower climate risk perceptions

• H3: access to climate information lower climate risk perceptions

• H4: lower dread feelings lower climate risk perceptions

Page 7: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Overview of Ancoraimes & Umala

Altiplano

A. B.

C. Ancoraimes D. Umala

LakeTiticaca Ancoraimes

Umala

Chinchaya

Kellhuiri

San José de Llanga

San Juan Cerca

Vinto Coopani

Chojňapata

CohaniKarcapata

Calahuancani

Lake Titicaca

La Paz

Page 8: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Objective vs. Subjective Risk

•Garcia, Raes, Jacobsen and Michel (1997)

SubjectiveObjective Subjective ObjectiveNorth 3.88 30% 3.81 40%Central 4.29 18% 4.72 58%Combined 4.085 24% 4.265 49%

Flood Drought

Page 9: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Focus Group FindingsWeather/Climate ChangeHazard Severity

•Experience Weather/Climate Change▫Umala- drier conditions, more wind, lower

temperatures and fewer frosts▫Ancoraimes- drier conditions

•Weather Event Severity▫hail, frost, drought

Page 10: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Focus Group FindingsEx-Ante Risk Management Strategies

•Frost and Hail- rituals•Planting in three different areas

▫Umala Frost- chemicals, varieties Drought- planting multiple times Flooding- higher elevation, vertical furrows

▫Ancoraimes Relatives Drought- certain areas, higher elevation,

plow deep, store more products

Page 11: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Focus Group FindingsEx-Post Risk Management Strategies•Rituals•Can’t Cope

▫Umala Institutions, government Children- jobs Migrate Works for neighbors

Drought- chuno▫Ancoraimes

Don’t ask government Migrate

Page 12: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Model•Other Income + Total Cattle + Total

Sheep + Location + Dread + Access to Credit + Shock Experience + Contact Family Outside + Spanish Speaking Climate Risk Perceptions

Page 13: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Ordinal Logistic Regression FindingsB S.E. Sig

Dependent Variable Moderate Climate Risk Perception- 1 -2.667 1.197 0.026

Low High-2 -0.117 1.140 0.918

Mid-High-3 1.463 1.136 0.198

High-4 3.008 1.164 0.010

Extreme-5 -

B Odds Ratio S.E. Sig

Parameter Estimates

Other Income (Bolivianos) -0.005 0.995 0.002 0.013 **

Sheep 0.005 1.005 0.009 0.581

Cattle 0.018 1.018 0.077 0.819

Chinchaya -2.034 0.131 1.047 0.052 *

Karcapata -0.580 0.560 1.300 0.656

Chojñapata -2.173 0.114 1.271 0.087 *

San Jose Llanga 1.728 5.632 1.109 0.119

San Juan Circa 2.427 11.326 1.368 0.076 *

Vinto Coopani 1.485 4.415 1.132 0.190

Kellhuiri 2.259 9.569 1.271 0.075 *

Calahuancani 0.977 2.657 1.254 0.436

Cohani - - - -

Page 14: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Ordinal Logistic Regression FindingsLow Dread- 6 -1.220 0.295 1.439 0.396

Dread-7 -1.626 0.197 1.968 0.409

Dread- 8 -2.670 0.069 0.620 0.000 ***

Dread- 9 -0.722 0.486 0.448 0.107

Dread-10 - - - -

Access to Credit -0.870 0.419 0.435 0.046 ** No access - - - -

High Experience Shocks- 5 -0.680 0.507 2.213 0.759

Shocks-6 1.140 3.128 0.754 0.131

Shocks-7 1.099 3.001 0.433 0.011 **

No experience shocks-8 - - - -

Contact family outside -5.405 0.004 2.151 0.012 **

No contact family outside - - - -

Spanish speaking 0.594 1.811 0.641 0.354

Not able to speak Spanish - - - -

Page 15: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

Conclusion• Significant Explanatory Variables

▫ Diversification- income ▫ Access to credit▫ Trusted Knowledge

• Non-Significant Explanatory Variables▫ Dread▫ Livestock

• Further Research▫ Gender▫ Individual hazards▫ Rituals

Page 16: Lisa  Rees Department of Agricultural Economics University of Missouri-Columbia December 5, 2008

References•Morduch, J. (1995). "Income Smoothing

and Consumption Smoothing." The Journal of

•Economic Perspectives 9(3): 103-114.

•Slovic, P. (1987). “Perception of Risk.” Science 236: 280-285.

•Sjoberg, L. (2000). "Factors in Risk Perception." Risk Analysis 20(1): 1-12.