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Agriculture
Special Issues
Agricultural Insurance, Risk Management and Sustainable Development
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Agricultural Insurance, Risk Management and Sustainable Development

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Economics, Policies and Rural Management".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 21963

Special Issue Editors

Dr. Kirill A. Zhichkin

E-Mail Website
Guest Editor
Department «Economic Theory and Economics of the Agro-Industrial Complex», Samara State Agrarian University, Kinel 446442, Russia
Interests: agricultural insurance; forecasting; planning; government regulation; economics of the agro-industrial complex; economics of households; cadastral valuation; biofuel
Special Issues, Collections and Topics in MDPI journals
Dr. Arthur A. Gibadullin

E-Mail Website
Guest Editor
Department of Economics and Management in the Fuel and Energy Complex of the State University of Management, Moscow, Russia
Interests: energy; ecology; agriculture

Special Issue Information

Dear Colleagues,

This thematic issue of Agriculture is published with the aim of summarizing international experiences in the field of agricultural insurance, risk management in agriculture, and rural sustainable development. Within the framework of the Special Issue, scientific research aimed at solving a set of problems and ensuring the development of agriculture will be presented, covering the following topics:

  • Conducting agricultural production in risky conditions, the use of risk reduction tools, and the development of agricultural insurance;
  • Development of scientific and practical potential in order to formulate proposals for the introduction of science-intensive technologies in agriculture;
  • Popularization of fundamental and applied research in the field of agriculture, animal science, zoology, agronomy, plant growing, and soil science;
  • Formation of recommendations aimed at improving computer models, information technology, engineering, innovation, and digital technologies in agriculture.

Within the framework of the Special Issue, the following topics will be covered: scientific support of innovative development of agriculture; intelligent, digital, and automated technologies in agriculture; modern scientific achievements—the practice of the production and processing of crop products; scientific approaches to risk reduction in agricultural production; development of new, and improvement of existing, areas of agricultural insurance; resource-saving technologies, rational nature management, and innovative technologies in the agro–industrial complex; automation and digitalization in the agro–industrial complex; biotechnical systems and technologies in agriculture; feeding farm animals; machines and equipment for selection and seed production; mathematical modeling of applied problems of mechanics in the agro-industrial complex; environmental protection in agro-industrial production; tractors and agricultural machinery; organization of agro-industrial production and agriculture.

This Special Issue will feature the work of scientists, employees of specialized organizations, research centers in the field of agriculture, scientists from various research and educational institutions, and representatives of government agencies and businesses.

Prof. Dr. Kirill A. Zhichkin
Dr. Arthur A. Gibadullin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agricultural insurance
  • risk management
  • animal science
  • agronomy
  • plant growing
  • soil science
  • sustainable development
  • governance and economics

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

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Editorial

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3 pages, 168 KiB  
Editorial
Agricultural Insurance, Risk Management and Sustainable Development
by Kirill A. Zhichkin, Vladimir V. Nosov and Lyudmila N. Zhichkina
Agriculture 2023, 13(7), 1317; https://doi.org/10.3390/agriculture13071317 - 28 Jun 2023
Cited by 4 | Viewed by 2817
Abstract
Risk management and sustainability in agro-industrial production play an important role [...] Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)

Research

Jump to: Editorial

17 pages, 4761 KiB  
Article
The Theory of Agriculture Multifunctionality on the Example of Private Households
by Kirill A. Zhichkin, Vladimir V. Nosov, Lyudmila N. Zhichkina and Artur A. Gubadullin
Agriculture 2022, 12(11), 1870; https://doi.org/10.3390/agriculture12111870 - 8 Nov 2022
Cited by 20 | Viewed by 5267
Abstract
Having appeared in the European Union, the multifunctionality theory was quickly appreciated in most countries of the world. It determines the role of agriculture and its structural elements in the modern economy. This article is aimed at studying the multifunctionality theory in Russia. [...] Read more.
Having appeared in the European Union, the multifunctionality theory was quickly appreciated in most countries of the world. It determines the role of agriculture and its structural elements in the modern economy. This article is aimed at studying the multifunctionality theory in Russia. This study was conducted on the example of private farms in the Samara region by the authors’ classification and identifying their main functions can serve as the basis for a system of their state support. To process the study results, absolute, relative, and average values were used, as well as a regression analysis with the help of the STATISTICA package. The research results are presented in tabular and graphical forms. The growth of production volumes does not lead to an increase in the share of households according to total volume in the case of a steady trend. The impact of all factors on the indicator, except for the production volume amount, results in a 2.272% decrease in the proportion of household plots in the total volume of agricultural regional production annually. It was found that the parameters of households depend mainly not on the geographical location within the region but on the size of the settlements in which they are located. The research result shows that the main focus of state regulation for private farms should be aimed at their support in small settlements, thus ensuring a quick return on invested budget funds. The outcome of the multifunctionality theory in practice should be the strengthening of state support for private farms. Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)
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17 pages, 1521 KiB  
Article
Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach
by Nihal Ahmed, Zeeshan Hamid, Farhan Mahboob, Khalil Ur Rehman, Muhammad Sibt e Ali, Piotr Senkus, Aneta Wysokińska-Senkus, Paweł Siemiński and Adam Skrzypek
Agriculture 2022, 12(9), 1320; https://doi.org/10.3390/agriculture12091320 - 26 Aug 2022
Cited by 43 | Viewed by 4991
Abstract
Agricultural insurance and green agriculture are strongly related. Agricultural insurance not only motivates farmers to adopt environmentally friendly production technology and enhances the effectiveness of production, but it also accomplishes the goal of lowering the number of chemicals that are put into the [...] Read more.
Agricultural insurance and green agriculture are strongly related. Agricultural insurance not only motivates farmers to adopt environmentally friendly production technology and enhances the effectiveness of production, but it also accomplishes the goal of lowering the number of chemicals that are put into the environment. This article investigates the dynamic relationship between agricultural insurance, air pollution, and agricultural green total factor productivity. To complete the aim, the authors used the panel auto-regressive distributed lags method (PMG method) and panel data from 50 states of the United States between 2005 and 2019. The empirical findings demonstrate a considerable co-integration and a cross-sectional reliance between agricultural insurance, air pollution, and agricultural green total factor production. Expanding agricultural insurance may boost agricultural green whole factor output but also exacerbate air pollution. However, significant air pollution does not increase agricultural production’s green total factor productivity. The panel Granger causality test shows a one-way causal relationship between agricultural insurance, green total factor productivity, and air pollution. A one-way causal relationship exists between air pollution and agricultural green total factor productivity. The author concluded that improving agricultural insurance coverage or cutting down on air pollution will boost agricultural green total factor output. These findings have long-term policy and management repercussions, particularly for those involved in agriculture policy and environmental management. Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)
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13 pages, 428 KiB  
Article
A Comparison of Sediment Metal Concentrations as Potential Stressors to Resident Benthic Communities in an Agricultural Waterbody
by Lenwood W. Hall, Jr. and Ronald D. Anderson
Agriculture 2022, 12(7), 1029; https://doi.org/10.3390/agriculture12071029 - 14 Jul 2022
Cited by 2 | Viewed by 1251
Abstract
This study was designed to (1) determine the relationship between the sediment concentrations of eight total metals (As, Cd, Cr, Cu, Pb, Hg, Ni, and Zn) and five simultaneously extracted metals (SEM) (Ni, Cu, Zn, Cd, and Pb) with 11 benthic metrics based [...] Read more.
This study was designed to (1) determine the relationship between the sediment concentrations of eight total metals (As, Cd, Cr, Cu, Pb, Hg, Ni, and Zn) and five simultaneously extracted metals (SEM) (Ni, Cu, Zn, Cd, and Pb) with 11 benthic metrics based on a three-year data set including two seasons per year for an agricultural water body (Cache Slough, California), and (2) rank the importance of individual metals within a metal mixture as potential stressors to resident benthic communities. The total arsenic, lead, and cadmium showed the highest number of statistically significant and ecologically meaningful relationships with benthic metrics. The total copper, nickel, zinc, chromium, and mercury were not reported to show any statistically significant and ecologically meaningful relationships with any of the benthic metrics. There were also no statistically significant and ecologically meaningful relationships between the benthic metrics and the simultaneously extracted (bioavailable) metals. Both stress tolerant and stress sensitive benthic metrics were reported to have the best discriminatory power for detecting the adverse effects from metals. Mixed agreement results were reported when comparing statistically significant and ecologically meaningful benthic metric relationships with the threshold effect level (TEL) exceedances for the various metals. Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)
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21 pages, 10515 KiB  
Article
How Perceived Stress Affects Farmers’ Continual Adoption of Farmland Quality Improvement Practices
by Na Li and Caixia Xue
Agriculture 2022, 12(6), 876; https://doi.org/10.3390/agriculture12060876 - 17 Jun 2022
Cited by 1 | Viewed by 2042
Abstract
Regarding the fact that smallholder farmers form the main part of agriculture, actively guiding smallholder farmers to continually adopt the farmland quality improvement practice in their agricultural production process is considered as the critical path to improve farmland sustainability for the agricultural sector [...] Read more.
Regarding the fact that smallholder farmers form the main part of agriculture, actively guiding smallholder farmers to continually adopt the farmland quality improvement practice in their agricultural production process is considered as the critical path to improve farmland sustainability for the agricultural sector in China especially smallholder farmers planting economic crops, such as tea, that have long relied on heavy inputs of chemical fertilizers that seriously undermine the quality of farmland. However, the state efforts towards the promotion of farmers’ adoption of farmland quality improvement practices for years have not obtained remarkable results. In this context, based on expectation confirmation theory and conservation of resources theory, the study classified farmers’ perceived stress towards continual adoption of farmland quality improvement practice into three categories: stress from uselessness perception, difficulty perception, and in-adaptability perception. A structural equation model was utilized to explore the impact of perceived stress on farmers’ continual adoption of the practice in a sample of 494 tea farmers from Qinba Mountain Area in China. Additionally, the mediating effect of self-efficacy and moderating effect of social support are discussed theoretically and empirically in the paper. The research findings show that the stress from in-adaptability perception has the strongest inhibitory effect of the three on farmers’ continual behavior while the stress from difficulty perception is the weakest. Further, the mediating effect of self-efficacy in the relationship between perceived stress and farmers’ continual adoption behaviors was confirmed. Additionally, the study indicated that social support can buffer the negative impact of perceived stress from uselessness perception and difficulty perception on farmers‘ continual adoption behaviors. Therefore, fully considering farmers’ perceived stress, providing farmers with support in a targeted manner, would strengthen the coordination between the government and the household on farmland improvement practices, accelerating the achievement of farmland sustainability. Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)
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14 pages, 3573 KiB  
Article
Invasive Milk Thistle (Silybum marianum (L.) Gaertn.) Causes Habitat Homogenization and Affects the Spatial Distribution of Vegetation in the Semi-Arid Regions of Northern Pakistan
by Nasrullah Khan, Rafi Ullah, Kishwar Ali, David Aaron Jones and Muhammad Ezaz Hasan Khan
Agriculture 2022, 12(5), 687; https://doi.org/10.3390/agriculture12050687 - 12 May 2022
Cited by 8 | Viewed by 2976
Abstract
Global biodiversity management is of concern due to invasive plant species that dramatically disturb the native communities causing biological homogenization. Therefore, the present research investigated the impacts of Silybum marianum, an aggressive invasive alien species, on communities’ diversity and environmental variables in [...] Read more.
Global biodiversity management is of concern due to invasive plant species that dramatically disturb the native communities causing biological homogenization. Therefore, the present research investigated the impacts of Silybum marianum, an aggressive invasive alien species, on communities’ diversity and environmental variables in Khyber Pakhtunkhwa, Pakistan. Phytosociological characteristics and diversity indices of the communities were sampled in seventy-five sites using the quadrate method. These sites were categorized based on invasion intensities, i.e., fully invaded sites with a 100% importance value index of the selected species, severely invaded sites with >60% of IVI, and partially invaded sites with >30% of the chosen species. The community composition significantly changes with changes in invasion intensity. Similarly, S. marianum invasion has a pronounced impact on the community’s diversity showing significant differences among the three categorized groups (p < 0.05). The canonical correspondence analysis revealed 29.9% variance where soil texture, nutrients, and elevations were influential variables in maintaining the community’s structure and composition. The study concludes that S. marianum dominated well-established communities in the existing soil and environmental variables; therefore, it was found to be influential in disturbing the native communities and may severely harm the crop plant and agricultural system in the future. Full article
(This article belongs to the Special Issue Agricultural Insurance, Risk Management and Sustainable Development)
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