Food System Dynamics (E-Journals)
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    Different Recruitment Processes for an Online-Survey Among German Livestock Farmers - Impacts on Sampling Bi-ases and Data Quality

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    This paper discusses the methodological challenges of conducting online surveys for agricultural social science research, with a focus on the potential biases introduced by sampling processes. Online surveys often use convenience or quota sampling, which can lead to self-selection biases that compromise the validity, reliability, and generalizability of research findings. Response quality issues, such as straight-lining and response fatigue, further exacerbate these challenges. The study examines data from a survey of more than 600 German livestock farmers who were recruited through three different methods: informally through social media channels, formally through professional networks, and commercially through a market research service provider. Results show that the commercial sub-sample had shorter response times and higher rates of incorrect responses for a control question. The sub-samples also showed demographic variations and differences in personality traits, agricultural land areas, and farm characteristics. The role of quota requirements in shaping differences within the commercial sub-sample is emphasized in the discussion. This reveals limitations in online surveys' ability to represent objectively defined target populations. The interpretation of results is complicated by the absence of consistent theoretical concepts and clear ex-ante hypotheses. The paper concludes by recommending that agricultural social science researchers transparently disclose their sampling procedures. This will enable readers to make informed judgments on the reliability and validity of their findings

    Choice of Agricultural Cooperative Marketing Channel and Economic Returns among Members: Evidence from Rice Farmers in Vietnam

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    This study aims to investigate the impact of using agricultural cooperative channel for output sale on the economic returns of members’ farms in Vietnam’s Mekong River Delta. The primary data were gathered from 293 members of agricultural cooperatives, including 113 members using a cooperative channel for output sale and 180 members not using the cooperative channel. Propensity score matching was employed to adjust the possible selection bias generated by systematically different observable and unobservable attributes between cooperative channel users and non-users. The results showed that using the cooperative channel for paddy sale had a statistically significant impact on economic performances, such as selling price, gross margin, and return on investment, which suggests that agricultural cooperatives could serve as an effiective marketing channel for rice farmers in Vietnam

    Halal Restaurant Integration Using Bidirectional Recurrent Neural Networks

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    Indonesia has the largest Muslim population in the world, so it is mandatory to consume halal food. However, there are still many websites that do not provide information on halal restaurants, such as Google Map. Data integration is needed to generate broader information and ensure the suitability of halal restaurants in several different data sources, such as the Indonesia Halal Product Assurance Agency (BPJPH) and Google Maps. The two datasets were cleaned during the preprocessing stage and then labelled using the Jaccard index. Finally, the Bidirectional Recurrent Neural Networks (BRNN) model was built using deepmatcher and evaluated using the F1-score metric. The integration of the two data produces 155 rows of matching data pairs

    Farm abandonment consequences: Insights from German farm advisors impacting farms and rural areas

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    Farm succession can be a challenge for continuity, often leading to abandonment in the absence of a successor. This study investigates the relationship between farm abandonment and succession based on 46 qualitative interviews with agricultural advisors from three German regions. The aim is to uncover the reasons for abandonment, changes in farm management and associated consequences, providing insights into the phenomenon of farm abandonment. The analysis findings contribute to the understanding of the implications for farms and rural areas. This provides valuable insights into identifying effective strategies for maintaining the sustainability of the farming sector and preserving the attractiveness of rural areas

    An analysis of household food waste determinants in Brazilian metropolitan areas

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    Data from the UN's Food and Agriculture Organization reveal that about one-third of global food intended for human consumption is wasted annually. This study investigated the determinants of household food waste in Brazilian metropolitan areas using an online survey. An ordered logit model was employed due to the hierarchical nature of the dependent variable. The results indicated that higher income and education levels correlate with increased waste; however, affluent households exhibited an inverse relationship. Effective nutrition planning reduced waste, while certain kitchen tools, training, and socio-environmental awareness also contributed to waste reduction

    Understanding Local Food Brand Buying Intention in Indonesia and Vietnam: The Role of Ethnocentrism, Attitude and Subjective Norms

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    This study examines how ethnocentrism, the attitude toward support local agribusiness, attitude toward the consumption of local food brands, and the subjective norm affect buying intention of livestock-based local food brands. This study was carried out in Indonesia and Vietnam because both countries are promising markets for global brands, due to their large populations and economic growth rates. The study was conducted through offline and online surveys. Data was analyzed using t-test and Partial Least Square structural equation modeling for the hypothesis testing. The result showed that in Indonesia and Vietnam, ethnocentrism influenced the attitude toward the consumption of local food brands, but the data from Indonesia showed that the attitude toward support local agribusiness did not affect the attitude toward the consumption of local food brands. Moreover, for both countries, the attitude toward the consumption of local food brands and the subjective norm influenced the local food brand buying intention. However, in Indonesia and Vietnam, the attitude toward support local agribusiness did not affect the local food brand buying intention. Moreover, mean average off all constructs in Indonesia were significantly higher than in Vietnam

    Entry points of the Russo-Ukrainian war into the EU's food supply chain and potential impacts

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    The Russo-Ukrainian war led to supply shocks in the EU's Food Supply Chain (FSC), impacting energy, fertilizer, and agricultural trade. By means of seven expert interviews, we assess possible impacts of these shock effects downstream entities within the EU’S FSC. Despite initial concerns about the need to compensate for Ukraine's previous agricultural commodity flows, exports to the EU have actually increased due to the abolition of tariffs and new land routes. However, the sanctions are changing the EU's trade relations in the energy and fertilizer sectors forcing it to find new trading partners. Such shifts in trade are accompanied by rising prices. Also, energy price spikes led to temporarily closure of fertilizer plants, compounding the problem. However, in times of undersupply of named goods, high GDP countries such as the EU states can afford to pay a premium price to fulfil their demand

    Unravelling the persistent problem of unhealthy diets: A system analysis of the Dutch food retail system

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    Unhealthy food retail environments are the result of systemic factors responsible for historical successes in food retail. Through historical literature and interviews with present-day stakeholders in the Dutch food retail system, four important dynamics were identified: The self-reinforcing consumer landscape that prioritises low prices and convenience; the prioritisation of commercial interests in the food retail regime and its perversion of health promotion efforts; the gridlocked food retail market maintained by neoliberal thinking; and the role of major food industry brands in creating consumer demand for and in-store availability of unhealthy products

    Perceived Value of Precision Agriculture in the Vineyard: Combining the van Westendorp Pricing Analysis and Experimental Auctions

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    The wine market is increasingly sensitive to sustainability issues, thus calling for the use of environment-friendly productive processes. What is the willingness of consumers to pay for such products? This work aims to investigate how consumers perceive the value of a “precision viticulture” with respect to Italian wine “Falanghina del Sannio” using a mix of hypothetical and real scenarios, that is, the hypothetical van Westendorp’s Price Sensitivity Meter (PSM) and real experimental auctions employing the Becker-deGroot-Marschak (BDM) mechanisms. The value of the attribute “precision viticulture” ranges between 19.86% and 24.51% (optimally 22.20%) of the total value of a hypothetical sustainable bottle of wine. In particular the attribute “precision viticulture” would maximize revenue if priced 2 Euros. A 1% increase in the price of the new wine associated with “precision viticulture” would lead to a 2.26% reduction in the quantity demanded. Finally, results suggest that the higher the value of a regular bottle of wine, the higher the consumer’s WTP for the “precision viticulture” attribute

    Twenty-Five Years and Counting: Preliminary Estimates of the Aggregate Economic Benefits of Meat Standards Australia

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    Australia is recognised globally as a leader in the beef cattle industry, developing innovations in production systems and in both the domestic and export markets which have benefitted all beef value chain participants. One of the key reasons for its global recognition has been the design, implementation and ongoing improvement of the Meat Standards Australia (MSA) quality assurance scheme which was first trialled in 1998 and celebrated 25 years since commencement in 2023. In this paper the history of the development and implementation of MSA is reviewed, including its alignment with the theoretical principles of the economics of grading and the way in which the initial model has been modified over time.  Then, publicly available data is used to estimate the aggregate economic benefits to the industry from its implementation, and these benefits are compared with estimates of the costs incurred in researching, developing and operating the MSA model. The analysis shows that cattle producers, beef processors and beef consumers have all been beneficiaries of the program through the price premiums available for MSA graded beef and cattle. Based on the data available at the time of writing, at the retail level, annual gross benefits have risen substantially to over 400millioninthethreeyearsto2022/23.Thecumulativevalueto2022/23isestimatedtobe400 million in the three years to 2022/23. The cumulative value to 2022/23 is estimated to be 3,125 million. These annual gross benefits are eventually distributed to producers, processors, retailers and consumers in relation to the relative slopes of the demand and supply curves at all the various market levels, as the market adjusts over time to the new level of domestic consumer willingness-to-pay for guaranteed tenderness. At the farm level in the last four years aggregate ‘over-the-hook’ returns have averaged around 200millionperyear.Thecumulativevalueto2022/23isestimatedtobejustunder200 million per year. The cumulative value to 2022/23 is estimated to be just under 2,200 million. Over the whole period 2004/05 to 2022/23, producers have received about 70 per cent of the total available willingness to pay. Impact assessment studies have shown that all past R&D expenditure in MSA has been covered, all industry adoption costs have been covered, all annual operating expenses have been covered, and on top of that, a substantial additional benefit has been generated

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