Risk Management of Agri-Food Value Chains—Exploring Research Trends from the Web of Science

Petrescu, Irina-Elena; Ignat, Raluca; Constantin, Marius; Istudor, Mihai

doi:10.1007/978-3-030-93286-2_4

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…Also, in this section we will investigate the risks specific to agriculture and trade in organic products. Farm-level risks and events can be viewed at the aggregate market level, and small changes in aggregate supply and demand for agricultural products can lead to rapid or substantial price changes which in turn affect farm profits (Breitmeier et al, 2020;Petrescu et al, 2022). This section contains a case study on trade risk mitigation of the trade in green raw materials trade for an international green raw materials intermediation platform operating online.…”

Section: Resultsmentioning

confidence: 99%

Ecological agriculture and its role in sustainable development

Pătărlăgeanu

Dinu

Diaconu

et al. 2022

Proceedings of the International Conference on Business Excellence

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The role of the organic farming system is to produce cleaner food, more suitable for human metabolism, in full correlation with the conservation and development of the environment. One of the main purposes of organic farming is to produce fresh and authentic agri-food products that respect natural and environmental factors. We can also talk about another alternative in which not only human consciousness develops but also the resilience of all levels of the biosphere. This will create favorable conditions for mankind for its day-to-day work to be fully successful, creating a continuing utility for society, both nationally and globally, as a result of which important social forces are freed from unproductive and controlling activities, and can be used directly in production activities. The present specialized paper was born through the analysis of the organic- natural household system, without chemicals, being in accordance with the second development alternative, presented above. The starting point of the paper is the notion of bio-agriculture. It will be investigated first of all, the right of existence of this way of conception, the special way of life and the methods of organic agriculture in the European space, as well as in the light of the development processes.

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Section: Resultsmentioning

confidence: 99%

Ecological agriculture and its role in sustainable development

Pătărlăgeanu

Dinu

Diaconu

et al. 2022

Proceedings of the International Conference on Business Excellence

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“…Another approach to increasing agricultural resilience during the pandemic refers to climate-smart agricultural practices which contribute to the mitigation of climate change and increase crop yields and on New Trends in Sustainable Business and Consumption incomes (Istudor et al, 2019). On top of that, resilience, as a dynamic concept, focuses more on long-term adaptation strategies rather than on short-term solutions for managing risks (Petrescu et al, 2022;Arslan, Belotti, and Lipper, 2017). According to other authors, by developing the agricultural trade balance, both the resilience and competitiveness will increase (Andrei et al, 2021).…”

Section: Review Of the Scientific Literaturementioning

confidence: 99%

The Resilience of Agricultural Comparative Advantage During the COVID-19 Pandemic

Constantin¹,

Piștalu²,

Pătărlăgeanu³

et al. 2022

New Trends in Sustainable Business and Consumption

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The agricultural sector is crucial for economies around the world, not only due to its role in ensuring food security, but also for capitalizing on the competitive advantages in a profitable and sustainable manner. The competitiveness of the agricultural sector has been highly debated in the literature. There are many welldeveloped methods for quantifying the different facets of agricultural competitiveness, most of which have a strong economic valence. One of the facets of competitiveness is resilience, the capacity to withstand the challenges that occur during periods of crisis while maintaining initial functions, if not improving them. Although the competitiveness of the agricultural sector has caught the attention of scholars, the literature is not abundant in studies dedicated to the analysis of the resilience of the agricultural sector's competitiveness. Thus, this study was aimed at bringing its contribution to the literature by tapping into the resilience of the agricultural comparative advantage in the context of the COVID-19 pandemic. The objective of this research was to assess Romania's agricultural comparative advantage and its associated resilience levels in the face of the negative effects of the SARS-CoV-2 pandemic on the global agri-food supply chains by resorting to the Balassa index. Data were extracted from the International Trade Center INTRACEN database and used to calculate the revealed comparative advantage for two different periods: before and during the COVID-19 pandemic. Findings showed that tobacco-based products were the most resilient and not only did those products maintain their level of competitiveness, but they also managed to become more competitive. On the other hand, although Romania is highly competitive in terms of exporting cereals, the resilience of this agri-food category proved to be poor during the COVID-19 pandemic. The same was observed in the case of oil seeds and oleaginous fruits. The drought from 2020 significantly contributed to these unfavorable results for Romania. This paper provides support and assists decision makers in the process of adopting measures aimed at increasing the resilience and competitiveness of the Romanian agricultural sector.

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“…Применение нейросетей на аграрных предприятиях призвано оценить объект и результат, который можно получить с его помощью [1,2,3]. Данные, собранные с узлов технического объекта являются источником для последующего обучения нейросети и прогнозирования состояния данного объекта, есть примеры в иных отраслях агропромышленного сектора [4][5][6][7][8][9][10][11].…”

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Neural Networks in Designing Control Systems for Agro-Industrial Enterprises

Grachev

2023

Cheese- And Buttermaking

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The paper introduces a comprehensive review of various approaches to using neural networks in the design of control systems for closed-end agricultural facilities. The empirical part of the study featured technical statistics of agro-industrial enterprises. It applied trained neural networks to agricultural enterprise data for prediction purposes. The resulting root mean square error was 0.120, and the standard deviation did not exceed 0.093. Neural networks proved efficient as part of specialized software for monitoring technical objects of the agro-industrial complex and predicting their development.

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Risk Management of Agri-Food Value Chains—Exploring Research Trends from the Web of Science

Cited by 5 publications

References 28 publications

Ecological agriculture and its role in sustainable development

Ecological agriculture and its role in sustainable development

The Resilience of Agricultural Comparative Advantage During the COVID-19 Pandemic

Neural Networks in Designing Control Systems for Agro-Industrial Enterprises

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