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2. Objective vs. subjective data: finding accurate farmer information
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Format:
- Blog
- Publication Date:
- 2021-01-05
- Published:
- USA: Farm Market iD, Westmont, Illinois.
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12076
- Notes:
- Online from publisher. 4 pages., Summarizes benefits of objectively-sourced data from sources like the USDA, public and private data firms, geospatial insights and analysis, and more. Cites weaknesses of farmer surveys, promotions, registration forms and other similar sources.
3. Time discounting and implications for Chinese farmer responses to an upward trend in precipitation
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Ding, Yihong (author), Balcombe, Kelvin (author), and Robinson, Elizabeth (author)
- Format:
- Journal article
- Publication Date:
- 2021-03-11
- Published:
- United States: John Wiley & Sons Ltd.
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D12350
- Journal Title:
- Journal of Agricultural Economics
- Journal Title Details:
- Vol. 27, Iss. 3
- Notes:
- 15 pages, This paper studies Chinese grape growers’ time discounting and its implications for the adoption of technology that can reduce the negative effects of increasing precipitation. Using primary data collected in Xinjiang Province, we undertook a contingent valuation of rain covers that protect fruit from rain and estimated a discounted utility model using these data. Using a hierarchical Bayesian approach, we find that local grape growers discount the future very heavily, with a discount rate of 0.17 per year, which is almost four times higher than the Chinese market interest rate. Farmers also tend to underestimate the benefits of adopting covers, with their purchase decisions appearing to largely depend on their past actual losses rather than future anticipated losses. These findings have broader implications for policies promoting proactive adaptation in response to likely increased rainfall in the region. Targeting farmers who give lower weight to events far off in the future and understanding that many farmers may tend only to make adoption decisions that have strong short-term benefits could improve the efficacy of climate policies that target agricultural technologies.