id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
afs-65247	Liesivaara, Petri; Meuwissen, Miranda; Myyrä, Sami	Government spending under alternative yield risk management schemes in Finland	2017	10	.pdf	application/pdf	6678	334	58	Distribution of historical annual hectares lost (total and partial lost hectares per 1000 cultivated ha) in the CDC scheme and estimated annual hectares lost (hectares where losses exceed the 30% deductible level per 1000 cultivated ha) under the farm-based insurance scheme CDC scheme Farm-based insurance Mean (SD) Skewness Maximum value Mean (SD) Skewness Maximum value Barley 23.21 (59.07) 3.3684 240.15 71.47 (50.30) 0.6068 175.85 Oats 23.17 (54.61) 2.6436 185.66 90.21 (71.60) 1.3908 305.69 Winter wheat 33.95 (98.49) 3.2536 386.03 73.44 (58.17) 0.5346 184.39 Spring wheat 49.22 (135.96) 3.3706 545.72 86.59 (131.76) 2.0501 543.43 Rye 28.18 (69.86) 2.9747 264.20 83.42 (48.52) 0.3929 163.56 AGRICULTURAL AND FOOD SCIENCE P. Liesivaara et al. (2017) 26: 223–232 230 facing, which insurance companies have a good understanding of, the demand for crop insurances may be too low, as farmers’ willingness to pay for crop insurance may be too low from point of view of insurance companies. For example, a lack of viable infrastructure (such as trained loss adjusters and product delivery systems) and sufficient data may cause major obstacles to the development of crop insurance schemes, even in developed countries (Smith and Glauber 2012).	cache/afs-65247.pdf	txt/afs-65247.txt