Browsing by Person "Reiner, Doluschitz"

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Behavioral economic impact on animal health surveillance system in Thailand
(2021) Kewprasopsak, Tossapond; Reiner, Doluschitz
Zoonotic diseases are a continuously significant threat to global human and livestock health (causing millions of deaths yearly). Zoonotic diseases are not only a human health threat, but also a threat to animal health and welfare. Moreover, they have a high impact on national economies and food security due to productivity and production reduction. Expanding worldwide travel and global trade increases the importance of the threat of zoonotic diseases. The increase in global meat consumption contrasts with the escalating instability of the global meat market, which is affected by the increase of livestock densities, changes in production intensity, and slaughtering systems, causing animal disease outbreaks to spread widely. This study focuses on the animal disease surveillance system in Thailand as an important world meat exporter. In 2014, the Participatory One Health Disease Detection project, or PODD was set up by the veterinary inspection authorities to test animal epidemic control systems using smartphone applications in the Chiang Mai province in northern Thailand The main objectives of this study are (i) to evaluate the economic impact of the PODD system on farmers by impact assessment (n = 177) (ii) to demonstrate the impact of monetary and non-monetary incentives on the PODD reporters by the experimental approach (n = 17), (iii) and to present the effect of the socioeconomic factors and behavioral bias on farmers animal disease reporting behavior with the logit model (n = 467). Focusing on the first objective, the results of this study concluded that there is an impact on the farmers. The technology alone cannot improve animal health security in the short-term. In the second objective, the results concluded that, in the case of the PODD reporters, the decision of using monetary incentives to motivate most of the PODD reporters has a negative impact in the long-term. Losing reporter motivation and effort reflected to the low efficiency of the digital surveillance system of PODD and no impact on farmers. Concerning In the last objective, the results concluded that the optimistic bias of farmers has a very high impact on their decision making about reporting animal diseases on their farm. Just one infected farm in the case of dairy milk farmers can spread the foot-and-mouth disease to other farms. The new digital animal health surveillance system alone is not enough to reduce the impact of animal diseases of farmers. Suitable motivation for the reports and awareness of farmers optimistic bias in animal disease reporting cannot be neglected in digital animal disease surveillance system improvement. Overall, it can be concluded that the digital animal disease surveillance system is a powerful instrument for reducing the impact of animal diseases and increasing food safety and security. However, application of this advanced technology still needs time to demonstrate the impact and to be broadly adopted by users. In terms of motivation, the monetary incentive can increase the effort of report in the short run but it comes at a high cost and has a negative impact in the long-term. While the social incentive costs less and is more effective in the long-term. Where farmers’ animal disease reporting behavior is concerned, the optimistic bias is the highest influential factor on the farmers reporting decisions, in an inverse correlation.
Understanding and addressing food loss and waste : a multidimensional analysis of wheat loss and bread waste in Iran
(2023) Ghaziani, Shahin; Reiner, Doluschitz
Food loss and waste (FLW) is a global issue with significant environmental and economic consequences, threatening food security. Reports show that 14% of global food production is lost in production and supply chains, while 17% is wasted at the consumption stage. Despite this, theres a lack of knowledge, especially in developing countries like Iran, facing challenges due to sanctions, environmental issues, and water scarcity. This doctoral study focuses on FLW in Iran, adopting a lifecycle approach, with wheat and wheat bread in Fars province as the main focus. The research aims to quantify and analyze food waste, identify hotspots, enhance quantification methods, and explore causes and solutions. The study includes mapping the wheat lifecycle, analyzing loss and waste factors, and proposing interventions. Data collection involves surveys and a laboratory experiment. The first survey in October 2018 used value stream mapping to overview the wheat and bread lifecycle. It identified farms, foodservice establishments, and households as major hotspots, revealing data gaps. The second survey, from December 2018 to August 2019, focused on household bread waste (HBW) in Shiraz. The survey involved 419 households and included a self-assessment questionnaire, a food frequency questionnaire for dietary data collection, and a socioeconomic status section. Findings led to three articles. The third article addressed underestimation in self-assessment methods using a lab experiment, improving accuracy. A lab experiment simulated common consumption recipes and measured resulting waste. Comparing the lab results with HBW estimates from the questionnaire survey, the article presents underestimation ratios ranging from 1.24 to 1.80. The fourth article reveals HBW in Shiraz at 1.80%, with traditional bread waste at 1.70% and non-traditional bread waste at 2.50%. However, these percentages do not consider the underestimation inherent in the self-assessment method. Adjusting for underestimation within this study population, traditional bread waste increases to 3.06%, and non-traditional bread waste rises to 3.58%. Outdated data from previous Iranian reports was highlighted. The final article uses multiple regression modeling to predict HBW based on household dietary patterns and socioeconomic scores. It emphasizes the need for consumer-focused interventions to address household food waste effectively, such as developing FLW reduction policies targeting specific consumers grouped based on waste-related characteristics. In conclusion, the dissertation provides a comprehensive analysis of wheat loss and bread waste in Iran, offering insights into environmental, economic, and food security implications. It guides improvements in agricultural productivity, farmer cooperation, and consumer-focused strategies for sustainable consumption. The research contributes methodological advancements and informs decision-making for reducing wheat loss and bread waste, fostering responsible production and consumption.