Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance for Agriculture in the Developing World: An Ethiopia Case Study

2018 ◽  
Author(s):  
Daniel Osgood ◽  
Bristol Powell ◽  
Rahel Diro ◽  
Carlos Farah ◽  
Markus Enenkel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Developing World ◽  
Index Insurance ◽  
Weather Index ◽  
Weather Index Insurance

scholarly journals The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia

2016 ◽  
Vol 8 (4) ◽  
pp. 342 ◽  
Author(s):  
Emily Black ◽  
Elena Tarnavsky ◽  
Ross Maidment ◽  
Helen Greatrex ◽  
Agrotosh Mookerjee ◽  
...  
Keyword(s):  
Remotely Sensed ◽  
Index Insurance ◽  
Drought Risk ◽  
Weather Index ◽  
Weather Index Insurance

scholarly journals Unpacking Barriers to Socially Inclusive Weather Index Insurance: Towards a Framework for Inclusion

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2235
Author(s):  
Aheeyar ◽  
Silva ◽  
Senaratna-Sellamuttu ◽  
Arulingam
Keyword(s):  
Primary Data ◽  
Economic Losses ◽  
Index Insurance ◽  
Problem Analysis ◽  
Structural Barriers ◽  
Weather Index ◽  
Weather Index Insurance ◽  
Marginalized Women ◽  
And Gender

Floods account for a majority of disasters, especially in South Asia, where they affect 27 million people annually, causing economic losses of over US$1 billion. Climate change threatens to exacerbate these risks. Risk transfer mechanisms, such as weather index insurance (WII) may help buffer farmers against these hazards. However, WII programs struggle to attract the clients most in need of protection, including marginalized women and men. This risks re-enforcing existing inequalities and missing opportunities to promote pro-poor and gender-sensitive development. Key questions, therefore, include what factors constrain access to WIIs amongst heterogeneous communities, and how these can be addressed. This paper contributes to that end through primary data from two WII case studies (one in India, the other in Bangladesh) that identify contextual socio-economic and structural barriers to accessing WII, and strategies to overcome these. More significantly, this paper synthesizes the case study findings and those from a review of the literature on other WII initiatives into a framework to promote a systematic approach to address these challenges: an important step forward in moving from problem analysis to remedial action. The framework highlights actions across WII product design, implementation and post-implementation, to minimize risks of social exclusion in future WII schemes.

scholarly journals Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance: An Ethiopia Case Study

2018 ◽  
Vol 10 (12) ◽  
pp. 1887 ◽  
Author(s):  
Daniel Osgood ◽  
Bristol Powell ◽  
Rahel Diro ◽  
Carlos Farah ◽  
Markus Enenkel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Climate Risk ◽  
Weather Data ◽  
Index Insurance ◽  
Data Sets ◽  
Community Based ◽  
Weather Index ◽  
Management Interventions ◽  
Reported Data

A challenge in addressing climate risk in developing countries is that many regions have extremely limited formal data sets, so for these regions, people must rely on technologies like remote sensing for solutions. However, this means the necessary formal weather data to design and validate remote sensing solutions do not exist. Therefore, many projects use farmers’ reported perceptions and recollections of climate risk events, such as drought. However, if these are used to design risk management interventions such as insurance, there may be biases and limitations which could potentially lead to a problematic product. To better understand the value and validity of farmer perceptions, this paper explores two related questions: (1) Is there evidence that farmers reporting data have any information about actual drought events, and (2) is there evidence that it is valuable to address recollection and perception issues when using farmer-reported data? We investigated these questions by analyzing index insurance, in which remote sensing products trigger payments to farmers during loss years. Our case study is perhaps the largest participatory farmer remote sensing insurance project in Ethiopia. We tested the cross-consistency of farmer-reported seasonal vulnerabilities against the years reported as droughts by independent satellite data sources. We found evidence that farmer-reported events are independently reflected in multiple remote sensing datasets, suggesting that there is legitimate information in farmer reporting. Repeated community-based meetings over time and aggregating independent village reports over space lead to improved predictions, suggesting that it may be important to utilize methods to address potential biases.

Pricing weather index insurance based on artificial controlled experiment: a case study of cold temperature for early rice in Jiangxi, China

2017 ◽  
Vol 91 (1) ◽  
pp. 69-88 ◽  
Author(s):  
Qing Sun ◽  
Zaiqiang Yang ◽  
Xianghong Che ◽  
Wei Han ◽  
Fangmin Zhang ◽  
...  
Keyword(s):  
Controlled Experiment ◽  
Cold Temperature ◽  
Index Insurance ◽  
Weather Index ◽  
Weather Index Insurance ◽  
Early Rice

scholarly journals Contrasting Influences of Seasonal and Intra-Seasonal Hydroclimatic Variabilities on the Irrigated Rice Paddies of Northern Peninsular Malaysia for Weather Index Insurance Design

2021 ◽  
Vol 13 (9) ◽  
pp. 5207
Author(s):  
Zed Zulkafli ◽  
Farrah Melissa Muharam ◽  
Nurfarhana Raffar ◽  
Amirparsa Jajarmizadeh ◽  
Mukhtar Jibril Abdi ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Extreme Rainfall ◽  
Peninsular Malaysia ◽  
Coefficient Of Determination ◽  
Index Insurance ◽  
Weather Index ◽  
Basis Risk ◽  
Insurance Contracts ◽  
Weather Index Insurance ◽  
Streamflow Statistics

Good index selection is key to minimising basis risk in weather index insurance design. However, interannual, seasonal, and intra-seasonal hydroclimatic variabilities pose challenges in identifying robust proxies for crop losses. In this study, we systematically investigated 574 hydroclimatic indices for their relationships with yield in Malaysia’s irrigated double planting system, using the Muda rice granary as a case study. The responses of seasonal rice yields to seasonal and monthly averages and to extreme rainfall, temperature, and streamflow statistics from 16 years’ observations were examined by using correlation analysis and linear regression. We found that the minimum temperature during the crop flowering to the maturity phase governed yield in the drier off-season (season 1, March to July, Pearson correlation, r = +0.87; coefficient of determination, R2 = 74%). In contrast, the average streamflow during the crop maturity phase regulated yield in the main planting season (season 2, September to January, r = +0.82, R2 = 67%). During the respective periods, these indices were at their lowest in the seasons. Based on these findings, we recommend temperature- and water-supply-based indices as the foundations for developing insurance contracts for the rice system in northern Peninsular Malaysia.

scholarly journals Farmers’ Demand for Informal Risk Management Strategy and Weather Index Insurance: Evidence from China

2021 ◽  
Author(s):  
Yingmei Tang ◽  
Huifang Cai ◽  
Rongmao Liu
Keyword(s):  
Risk Management ◽  
Field Experiments ◽  
Management Strategies ◽  
Insurance Companies ◽  
Index Insurance ◽  
Insurance Demand ◽  
Weather Index ◽  
Weather Index Insurance ◽  
Risk Management Strategies ◽  
The Government

AbstractIn the absence of formal risk management strategies, agricultural production in China is highly vulnerable to climate change. In this study, field experiments were conducted with 344 households in Heilongjiang (Northeast China) and Jiangsu (East China) Provinces. Probit and logistic models and independent sample T-test were used to explore farmers’ demand for weather index insurance, in contrast to informal risk management strategies, and the main factors that affect demand. The results show that the farmers prefer weather index insurance to informal risk management strategies, and farmers’ characteristics have significant impacts on their adoption of risk management strategies. The variables non-agricultural labor ratio, farmers’ risk perception, education, and agricultural insurance purchase experience significantly affect farmers’ weather index insurance demand. The regression results show that the farmers’ weather index insurance demand and the influencing factors in the two provinces are different. Farmers in Heilongjiang Province have a higher participation rate than those in Jiangsu Province. The government should conduct more weather index insurance pilot programs to help farmers understand the mechanism, and insurance companies should provide more types of weather index insurance to meet farmers’ diversified needs.

scholarly journals POSSIBILITY OF WEATHER-INDEX INSURANCE FOR CLIMATE CHANGE ADAPTATION IN NORTHEAST THAILAND

2017 ◽  
Vol 73 (5) ◽  
pp. I_377-I_383 ◽  
Author(s):  
Koshi YOSHIDA ◽  
Koki HOMMA ◽  
Masayasu MAKI ◽  
Keigo NODA ◽  
Hiroaki SHIRAKAWA ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Index Insurance ◽  
Northeast Thailand ◽  
Weather Index ◽  
Weather Index Insurance
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