scholarly journals Measuring farmers’ preferences for weather index insurance in the Ayeyarwady Delta, Myanmar: a discrete choice experiment approach

2021 ◽  
Author(s):  
Hideo Aizaki ◽  
Jun Furuya ◽  
Takeshi Sakurai ◽  
Swe Swe Mar
Keyword(s):  
Discrete Choice ◽  
Insurance Coverage ◽  
Random Parameter ◽  
Insurance Premium ◽  
Discrete Choice Experiments ◽  
Index Insurance ◽  
Weather Index ◽  
Rice Farmers ◽  
Weather Index Insurance ◽  
Floods And Droughts

AbstractThis study examines farmers’ preferences for weather index insurance (WII) in the Ayeyarwady Delta, Myanmar, using discrete choice experiments. It employs data taken from a survey of 317 rice farmers in the district of Labutta in the Ayeyarwady Region, which was conducted in March 2019. After being informed about WII and the trigger conditions, farmers were asked to answer discrete choice questions on WII packages. The hypothetical WII packages consisted of three attributes: the types of disaster that the insurance covers, the insurance coverage rate, and the annual insurance premium rate. A random parameter logit model analysis of the responses reveals that farmers prefer the WII packages covering cyclones, floods, and droughts to that for salt damage. The probabilities of selecting 64 hypothetical WII packages calculated from the estimates indicate that more than 50% of farmers can be expected to purchase seven WII packages for cyclones, floods, and droughts.

scholarly journals Combining service design and discrete choice experiments for intervention design: An application to weather index insurance

MethodsX ◽  
2021 ◽  
Vol 8 ◽  
pp. 101513
Author(s):  
Naira Dehmel ◽  
Ylva Ran ◽  
Matthew Osborne ◽  
Arjan Verschoor ◽  
Fiona Lambe ◽  
...  
Keyword(s):  
Discrete Choice ◽  
Service Design ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Index Insurance ◽  
Intervention Design ◽  
Weather Index ◽  
Weather Index Insurance

scholarly journals Toward the development of a weather index insurance for rice farmers in the coastal region of Myanmar

2021 ◽  
Author(s):  
Jun Furuya ◽  
Keisuke Omori ◽  
Hideo Aizaki
Keyword(s):  
Climate Change ◽  
Saltwater Intrusion ◽  
Coastal Region ◽  
Discrete Choice Experiments ◽  
Survey Method ◽  
Index Insurance ◽  
Target Area ◽  
Weather Index ◽  
Rice Farmers ◽  
Weather Index Insurance

AbstractClimate change is expected to exacerbate damage to agricultural production from natural disasters. Examination of measures to adapt to the damage represents an urgent matter for agriculture. A multidisciplinary research project aimed at providing effective information related to development a weather index insurance (WII) system was conducted for rice farmers in a coastal region of Myanmar to achieve sustainable rice farm management in the country, which is among the world’s poorest and most disaster prone. For lower income countries, WII is one adaptation measure to mitigate damage by climate change. Using remote sensing and statistical data, changes in tracks of cyclones in the Bay of Bengal, the duration of damage by cyclone disasters, and areas affected by saltwater intrusion were analyzed to ascertain risk levels for disasters in the target area: Labutta township in the Ayeyarwady region. Furthermore, demand analysis of WII using discrete choice experiments, a question-based statistical survey method, revealed that farmers’ demand of WIIs for cyclone landfall, flood, and drought is relatively greater than that for saltwater intrusion. This finding indicates that saltwater intrusion might not be a crucially important matter for farmers who cultivate rainfed rice, whereas inland water floods caused by cyclone landfall and drought caused for changing the weather patterns represent a threat for these farmers. Results of econometric model analysis for designing a WII indicate that if a regular farmer in the township were to pay 41.5 US dollars per year to purchase WII for flood damage, their expected income will be stable.

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

Quantifying spatial basis risk for weather index insurance

2012 ◽  
Vol 14 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Michael T. Norton ◽  
Calum Turvey ◽  
Daniel Osgood
Keyword(s):  
Index Insurance ◽  
Weather Index ◽  
Basis Risk ◽  
Weather Index Insurance

Mapping the customer centric weather index insurance service design using quality function deployment

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Singh ◽  
Gaurav Agrawal
Keyword(s):  
Quality Function Deployment ◽  
Service Design ◽  
Index Insurance ◽  
Importance Rating ◽  
Customer Requirements ◽  
Weather Index ◽  
Quality Function ◽  
Content Type ◽  
Weather Index Insurance ◽  
Design Requirements

PurposeThe present paper aims to propose a framework on weather index insurance (WII) service design by using quality function deployment (QFD).Design/methodology/approachThis study utilizes QFD technique to propose a customer oriented framework on WII service design. In initial phase, customer and design requirements were gathered to derive the relationship between customers' and managers' voice for construct the house of quality (HOQ). Later on, prioritized customer and design requirements as QFD outcome were utilized to develop the action plan matrix in order to suggest the future action plans.FindingsThis study proposed a customer centric framework on WII service design to address the customer requirements. Findings show that adequate claim payments, hassle free prompt claim payment and transparency in losses computation are prioritized customer requirements with highest importance rating, whereas, accurate claim estimation, claim management system and advancement of technology are prioritized service design necessities with highest importance rating.Research limitations/implicationsThe proposed WII service design can enhance the quality of WII service by attain the higher standards of WII service in order to completely satisfy the customers.Practical implicationsThe proposed WII service design can provide a solution to the problems faced by WII industry by improve the customer's service experience and satisfaction.Originality/valueBased on best of author's knowledge, this paper first proposed a framework on WII service design by integrating customer and design requirements by using QFD.

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