The Intensity of Agriculture in the Covid-19 from Indonesia – A Systematic Literature Review

Kuleh, Yohanes; Ilmi, Zainal; Kadafi, M. Amin

doi:10.32861/jac.82.94.104

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…Unlike Gascón and Mamani (2022), Kuleh et al (2022), andPrasad et al (2022), we proved that changes in the risks of agriculture in the context of the COVID-19 crisis are driven by technology and innovation. Agricultural risks in Russia have increased only in such economic systems and agricultural companies that are too automated, while "smart" technologies make it possible to achieve crisis resilience.…”

Section: Discussionmentioning

confidence: 70%

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Risk Mitigation in Agriculture in Support of COVID-19 Crisis Management

Leybert

Shmaliy

Gornostaeva

et al. 2023

Risks

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The main focus of this article is the problem of exacerbating agricultural risks in the context of the COVID-19 crisis, which started against the background of the novel coronavirus (COVID-19) pandemic. The motivation for conducting the research presented in this article was the desire to increase the resilience of agricultural companies to economic crises. This paper is aimed at studying the Russian experience of changing the production and financial risks of agricultural companies during the COVID-19 crisis, substantiating the important role of innovations in reducing these risks, and determining the prospects for risk management in agriculture based on innovations to increase its crisis resilience. Using the structural equation modelling (SEM) method, we modelled the contribution of innovations to the risk management of agriculture during the COVID-19 crisis. The advantages of the SEM method, compared to other conventional methods (e.g., independent correlation analysis or independent regression analysis), include the increased depth of analysis, its systemic character, and the consideration of multilateral connections between the indicators. Using the case-study method, a “smart” vertical farm framework is being developed, the risks of which are resistant to crises through the use of datasets and machine learning. The originality of this article lies in rethinking the risks of agriculture from the standpoint of “smart” technologies as a new risk factor and a way to increase resilience to crises. The theoretical significance of the results obtained is that they make it possible to systematically study the changes in the risks of agriculture in the context of the COVID-19 crisis, while outlining the prospects for increasing resilience to crises based on optimising the use of “smart” technologies. The practical significance of the article is related to the fact that the authors’ conclusions and applied recommendations on the use of datasets and machine learning by agricultural companies can improve the efficiency of agricultural risk management and ensure successful COVID-19 crisis management by agricultural companies.

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Section: Discussionmentioning

confidence: 70%

“…Production risks have increased due to the increase in the cost of raw materials and equipment for agriculture (Prasad et al 2022). Financial risks have increased due to the disruption of value chains, reduced effective demand, and government regulation of food prices (Gascón and Mamani 2022;Kuleh et al 2022).…”

Section: Literature Review and Gap Analysismentioning

confidence: 99%

Risk Mitigation in Agriculture in Support of COVID-19 Crisis Management

Leybert

Shmaliy

Gornostaeva

et al. 2023

Risks

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“…This is in sharp contrast to the creative workforce in India, not to mention the competitiveness of agricultural workers from China and the U.S. The majority of agricultural clusters in Indonesia are still conventional, so the population who work as farmers only rely on manual equipment [15]. Surprisingly, this profession is abandoned by the younger generation because it is believed that it does not generate profits [16].…”

Section: Introductionmentioning

confidence: 97%

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

Rosyadi¹,

Darma²,

Darma³

2023

IJSDP

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Developing markets such as Indonesia are now concentrating open agriculture, which is actualized in the share of global agro-industry. At the same time, the existence of dependence on agricultural products between one nation and another, is articulated as an opportunity and a competitive advantage. This paper evaluating the factors driving the GDP of agriculture in Indonesia. Data duration is 2014-2021. The construction of the analysis is framed by linear regression. It was found that employment in agriculture, precipitation, arable land, crop production, food production, livestock production, and fertilizer have a simultaneous impact on GDP of agriculture. Then, employment in agriculture, precipitation, food production, livestock production, and fertilizer have a partial impact on the GDP of Agriculture. Unfortunately, arable land and crop production do not have a partial impact on the GDP of Agriculture. Long-term prospects consider dimensions that are not influential to be developed holistically. Another point is also considering the GDP of agriculture in a more competitive exploration. Weaknesses of this scientific paper are highlighted for academic contributions and practical compilations. In the future, limitations on data extraction can be developed. Furthermore, practical policy elaboration as the primary key in agricultural institutions, strengthening farmer innovation, and protecting agricultural land from the threat of increasingly extreme temperature depletion and massive settlement development.

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“…In this regard, rural people, nomads, and farmers have been less considered in calculations. In addition, agriculture, villages, and nomads are mostly underestimated in these service-based calculations ( 2 ) whereas about 1.3 billion workers are estimated to be employed in the agricultural sector for a wide range of products, which accounts for half of the total workforce of the world ( 3 ). However, even though many people work in this sector and it is considered an important economic sector in most countries, agriculture is a high-risk industry with a high rate of injuries ( 4 – 6 ) and the highest levels of risk indicators ( 7 – 9 ).…”

Section: Introductionmentioning

confidence: 99%

Typology of Iranian farmers' vulnerability to the COVID-19 outbreak

Moradhaseli

Ataei

Karimi

et al. 2022

Front. Public Health

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ContextPresently, farmers are faced with a new crisis caused by the outbreak of COVID-19. On the one hand, they are vulnerable to such respiratory diseases due to the nature of their farming activity. On the other hand, they will definitely be influenced by the pandemic in different aspects no matter if they do not contract the infection. So, this research aimed to study the vulnerability of farmers to the COVID-19 pandemic.MethodsThe present study was conducted using the quantitative approach and a descriptive-survey methodology. The statistical population was composed of farmers in Kermanshah province, Iran (N = 126,900). The sample (n = 382) was taken by the multistage stratified sampling technique with proportional allocation. The research instrument was a self-designed questionnaire whose face and content validity was confirmed by a panel of relevant experts and its reliability was supported in a pilot test.ResultsThe main damages of the pandemic to the farmers were found to be the increased costs of production, permanent or seasonal unemployment, reduced access to crop sale markets, and reduced control over pests and diseases at farms. The results revealed that the means of environmental, agronomic-vocational, and economic vulnerability were greater than the scale mean. The results also illustrated significant differences in the means of economic, psychological-social, agronomic-vocational, and environmental dimensions of vulnerability. Among these dimensions, the variable of agronomic-vocational vulnerability had the highest mean, and the variable of psychological-social vulnerability had the lowest mean.ConclusionFarmers have been one of the groups most severely influenced and damaged by the pandemic in various aspects. In this regard, organizations and institutions in charge of different agriculture sections, especially the Office of Agricultural Extension and Education, must develop practical strategies to reduce the effect of the pandemic on the agricultural sector. Identifying the dimensions and parameters of farmers' vulnerability in the face of COVID-19 can provide new and appropriate solutions to relevant planners and policymakers.

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The Intensity of Agriculture in the Covid-19 from Indonesia – A Systematic Literature Review

Cited by 5 publications

References 34 publications

Risk Mitigation in Agriculture in Support of COVID-19 Crisis Management

Risk Mitigation in Agriculture in Support of COVID-19 Crisis Management

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

Typology of Iranian farmers' vulnerability to the COVID-19 outbreak

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