A discrete choice experiment exploring farmer preferences for insurance against extreme weather events

Doherty, Edel; Mellett, Sinead; Norton, Daniel; McDermott, Thomas K. J.; Hora, Denis O’; Ryan, Mary

doi:10.1016/j.jenvman.2021.112607

Cited by 49 publications

(34 citation statements)

References 45 publications

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“…The superimposed effect of frequent environmental problems (e.g., COVID-19, extreme weather, marine pollution, and food crisis) highlights the importance of the environmental protection (Cai et al, 2022 ; Doherty et al, 2021 ; Roth & Valentinov, 2020 ; Stavi et al, 2021 ). As the world’s largest producer and consumer of energy (Wang et al, 2019 ), China has put forward the carbon peak and neutrality targets, which demonstrate its determination to win the tough battle for environmental protection.…”

Section: Introductionmentioning

confidence: 99%

Green merger and acquisition decision driven by environmental regulation and its impact on green innovation: evidence from Chinese heavily polluting listed enterprises

Sun

Wang

et al. 2023

Environ Dev Sustain

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How heavily polluting enterprises achieve sustainable development has become an urgent issue to be solved. Based on the data of Chinese heavily polluting listed enterprises during the period of 2010–2020, this paper adopts the probit method to examine how heterogeneous environmental regulations affect green merger and acquisition (GMA) decision, and propensity score matching and difference-in-differences method to explore innovation performance of GMA. The findings are as follows: (1) Command-and-control environmental regulation (CMCER) can promote GMA, while there exists a U-shaped relationship between market-based environmental regulation (MBER) and GMA; (2) from a dynamic perspective, it turns out that GMA can promote green innovation (GI) in the first and second post-acquisition year, but this effect disappears in the third year; (3) compared with CMCER, MBER has a more pronounced positive effect on the relationship between GMA and GI; (4) heterogeneous analysis indicates that the above GMA performance is more persistent when the acquirer is state-owned, with high media attention, with high internal control or engages in vertical GMA. The findings further enrich the literature on GMA driver and performance and provide references for optimizing ER policies and promoting corporate sustainable development.

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Section: Introductionmentioning

confidence: 99%

Green merger and acquisition decision driven by environmental regulation and its impact on green innovation: evidence from Chinese heavily polluting listed enterprises

Sun

Wang

et al. 2023

Environ Dev Sustain

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“…Their results indicate that people tend to have more periods covered with insurance (i.e., leading to a higher overall take-up rate), and many buy long-term insurance instead of annual insurance if such contracts are offered in addition to annual contracts. A preference for multi-year insurance has also been found by Doherty et al (2021), who studied farmers' demand for insurance with a discrete choice experiment.…”

Section: Related Literature and Contributionsmentioning

confidence: 75%

Demand for Multi-Year Catastrophe Insurance Contracts: Experimental Evidence for Mitigating the Insurance Gap

2022

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“…Doherty et al. ( 2021 ) explored the attractiveness of government-sponsored climate-risk insurance proposals, examining preferences for elements in insurance plans that do not negatively affect incentives for farm adaptation on a broader scale. The results suggest that most farmers are willing to purchase state-sponsored agricultural insurance to protect themselves against extreme weather.…”

Section: Introductionmentioning

confidence: 99%

Parameters that Motivate Table Olive Farmers To Buy Agricultural Insurance: The Case of Western Turkey

2022

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Defining components that affect agricultural insurance contract decisions is indispensable to the sustainability of table olive cultivation in the region. The Akhisar district is located within the borders of Manisa province, a region in Turkey in which traditional, and the most famous, table olive varieties are grown. This study explores parameters that predict the decisions of farmers in this district to purchase agricultural insurance and identifies perceptions of agricultural insurance in the region. A survey was conducted among 121 purposefully selected farmers. Some farmers’ sociodemographic characteristics and their households were identified using basic descriptive statistics, such as arithmetic means and percentage rates, and factors that affect farmers’ decisions to buy agricultural insurance were defined using binary logistic regression. Although table olive farmers could insure their products against risk by buying full hail and frost packages within the scope of crop insurance, the desired success with agricultural insurance has not been achieved. Although the agricultural insurance that covers farmers who grow table olives remains insufficient, it still plays a role in patterns of agricultural production in the region, results in greater income than other agricultural products, and contributes to the government’s premiums for agricultural insurance. Future studies should expand insurance practices to improve farmers’ perceptions of agricultural insurance, especially regarding drought yield insurance for perennial fruit trees, including table olives.

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A discrete choice experiment exploring farmer preferences for insurance against extreme weather events

Cited by 49 publications

References 45 publications

Green merger and acquisition decision driven by environmental regulation and its impact on green innovation: evidence from Chinese heavily polluting listed enterprises

Green merger and acquisition decision driven by environmental regulation and its impact on green innovation: evidence from Chinese heavily polluting listed enterprises

Demand for Multi-Year Catastrophe Insurance Contracts: Experimental Evidence for Mitigating the Insurance Gap

Parameters that Motivate Table Olive Farmers To Buy Agricultural Insurance: The Case of Western Turkey

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