Analysis of Farmers' Stated Risk Using Lotteries and Their Perceptions of Climate Change in the Northwest of Mexico

被引:9
作者
Orduno Torres, Miguel Angel [1 ]
Kallas, Zein [2 ]
Ornelas Herrera, Selene Ivette [3 ]
机构
[1] Univ Politecn Cataluna, Inst Res Sustainabil Sci & Technol IS UPC, Barcelona 08034, Spain
[2] Univ Politecn Cataluna, Ctr Res Agrofood Econ & Dev CREDA UPC IRTA, Inst Agrifood Res & Technol, Castelldefels 08860, Spain
[3] Univ Politecn Cataluna, Fac Math & Stat FME UPC, Barcelona 08028, Spain
来源
AGRONOMY-BASEL | 2019年 / 9卷 / 01期
关键词
risk attitude; farmers; multiple price list; lotteries and climate change; ATTITUDES; ADAPTATION; ADOPTION; DETERMINANTS; AVERSION;
D O I
10.3390/agronomy9010004
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Risk attitudes are relevant factors affecting production, management and investment decisions at the farm level. They are key factors related to farmers' attitudes towards the environment and climate change. Several methodological approaches, which were considered to be preferable for measuring the level of risk of an economic agent, ranging from highly risk-tolerant to highly risk-averse attitudes, are available. The Multiple Price List (MPL) method is one of the stated approaches that is gaining relevance. In this study, we apply the MPL and relate the risk outcomes to farmers' socio-economic characteristics and their perceptions of the environment and climate change. Data were collected using a face-to-face survey, carried out with a group of 370 farmers of an irrigation district, located in the northwest of Mexico. The results showed a risk level of about 0.32, according to the Constant Relative Risk Aversion (CRRA) coefficient, locating farmers of the region in a risk-averse group. The heterogeneity analysis showed that the socioeconomic factors and the perceptions of climate change are related to the farmers ' stated risk level. Farmers who are young women, with a tendency to use public support for structural investment, were shown to be risk-tolerant. Farmers considered floods, hail, diseases, pests, and weed growth incidences to be the most frequent weather patterns in the region.
引用
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页数:18
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