Preferred State Research Articles

On Ordinal Information-Based Weighting Methods and Comparison Analyses

In this paper, we focus on weighting methods within multi-attribute utility/value theory (MAUT/MAVT). In these methods, the decision maker (DM) provides ordinal information about the relative importance of criteria, but also additional information concerning the strength of the differences between the ranked criteria, which can be expressed in different forms, including precise/imprecise cardinal information, ratio-based methods, a ranking of differences, a semantic scale, or preference statements. Although many comparison analyses of weighting methods based on ordinal information have been carried out in the literature, these analyses do not cover all of the available methods, and it is not possible to identify the best one depending on the information provided by the DM. We review the analyses comparing the performance of these weighting methods based on empirical and simulated data using different quality measures. The aim is to identify weighting methods that could be recommended for use in each situation (depending on the available information) or the missing comparison analyses that should be carried out to arrive at a recommendation. We conclude that in the case of additional information in the form of a semantic scale, the cardinal sum reciprocal method can definitively be recommended. However, when only ordinal information is provided by the DM and in cases where additional information is provided in the form of precise/imprecise cardinal information or a ranking of differences, although there are some outstanding methods, further comparison analysis should be carried out to recommend a weighting method.

Designing microtransit services in suburban areas: A case study in Palermo, Italy

Poor quality of Public Transport (PT) services is one of the main causes of social exclusion for people living in the suburbs. Public transport companies usually allocate few financial resources to these areas, providing transport services with low frequency, poor accessibility, poor reliability, and high waiting times at stops. Recently, microtransit has emerged as an effective solution to improve the travel experience in suburban areas, particularly for non-commuting trips during off-peak hours. This paper presents an integrated methodological approach for designing microtransit services to meet the mobility needs of people living in low-density suburbs. By conducting a Reveled Preference (RP) and Stated Preference (SP) survey and developing a travel demand model, the demand was estimated and used as input to simulate and size the service. Combining GIS and simulation models, Key Performance Indicators (KPIs) were assessed; fleet size to meet the trip requests was identified and the fare was selected using a sensitivity analysis. The method was applied to a real case study to design a new microtransit service with flexible routes and on-demand stops in a suburban area in Palermo, Italy. The results highlight how introducing a microtransit service with 30 nine-seater vans could change the mobility habits of people living in the suburban area, being attractive and financially sustainable if costing 2 €, or just a little more than the existing fixed-route bus service. It could improve the travel experience by reducing the average waiting time at stops to around 5 min and improve access to amenities and PT hubs by guaranteeing a walking time of maximum about 8 min.

Dynamic Functional Network Connectivity in Acute Incomplete Cervical Cord Injury Patients and Its Associations With Sensorimotor Dysfunction Measures

BackgroundDynamic functional network connectivity (dFNC) captures temporal variations in functional connectivity during MRI acquisition. However, the neural mechanisms driving dFNC alterations in the brain networks of patients with Acute incomplete cervical cord injury (AICCI) remain unclear. MethodsThis study included 16 AICCI patients and 16 healthy controls (HC). Initially, Independent Component Analysis (ICA) was employed to extract whole-brain independent components (ICs) from resting-state functional MRI (rs-fMRI) data. Subsequently, a sliding time window approach, combined with k-means clustering, was used to estimate dFNC states for each participant. Finally, a correlation analysis was conducted to examine the association between sensorimotor dysfunction scores in AICCI patients and the temporal characteristics of dFNC. ResultICA was employed to extract 26 whole-brain ICs. Subsequent dynamic analysis identified four distinct connectivity states across the entire cohort. Notably, AICCI patients demonstrated a significant preference for State 3 compared to HC, as evidenced by a higher frequency and longer duration spent in this state. Conversely, State 4 exhibited a reduced frequency and shorter dwell time in AICCI patients. Moreover, correlation analysis revealed a positive association between sensorimotor dysfunction and both the mean dwell time and the fractional of time spent in State 3. ConclusionsPatients with AICCI demonstrate abnormal connectivity within dFNC states, and the temporal characteristics of dFNC are associated with sensorimotor dysfunction scores. These findings highlight the potential of dFNC as a sensitive biomarker for detecting network functional changes in AICCI patients, providing valuable insights into the dynamic alterations in brain connectivity related to sensorimotor dysfunction in this population.

Legal Mechanisms for Protecting the Public Interests of the Russian Federation from the Transboundary Effects of ESG Standards

The study notes that ESG standards formulated in the West have no scientific basis, serve as a tool for competitive struggle against Russian companies, and contradict traditional Russian values. The first ESG standard, based on the decarbonization of the economy, does not relate to the environmental protection objectives set by the President of Russia and poses a threat to such constitutionally significant values/national interests of the country as the sovereignty, security and defense capability of Russia. The content of the second Western ESG standard is incompatible with the principles of developing a healthy society. It includes gender perversions presented as new norms, poses a threat to national interests related to morality and public health, and contradicts the meaning of Russian policy defined by the President of Russia, which consists of saving people and increasing human capital as Russia’s main wealth. The third Western ESG standard, which contains a list of non-financial reporting issues related to companies’ disclosure of information on the Internet, poses a threat to such national interests as defense capability and security. Legal mechanisms for the protection of constitutionally significant values of Russia should be based on a system of incentives for Russian economic structures that ensure Russian national interests, through preferences of the Russian state, Russian investment companies and funds. Russia’s development can be sustainable only under conditions of an influx of all Russian resources, primarily gas and oil, which form the basis of the country’s economy. The development of Russia should be based on national/public interests of the Russian Federation as priorities/standards.

The Politics of Delay in Crisis Negotiations

States often intentionally stall crisis negotiations, hoping to build arms or attract allies to achieve a more favorable bargaining position. Why do their adversaries tolerate delay in some cases, but attack upon delay in others? I argue that this is because states cannot perfectly distinguish between intentional and unavoidable delays. This presents a strategic tension: a state prefers to attack preventively if the delay is intentional, but prefers to avoid costly war otherwise. To study this tension, I build a formal model of crisis bargaining with delay tactics, showing that rising states may mask bargaining delays behind natural exogenous delays to complete a peaceful power shift. I find that uncertainty over the source of delay may decrease the risk of war under some conditions, and increase the risk of war under others. I discuss the implications of my theoretical model for the causes of war and power shifts in historical cases.

Untangling individual cation roles in rock salt high-entropy oxides

We unravel the distinct role each cation plays in phase evolution, stability, and properties within the Mg1/5Co1/5Ni1/5Cu1/5Zn1/5O high-entropy oxide (HEO) by integrating experimental findings, thermodynamic analyses, and first-principles predictions. Our approach is through sequentially removing one cation at a time from the five-component high-entropy oxide to create five four-component derivatives. Bulk synthesis experiments indicate that Mg, Ni, and Co act as rock salt phase stabilizers whereas only Mg and Ni enthalpically enhance single-phase rock salt stability in thin film growth; synthesis conditions dictate whether Co is a rock salt phase stabilizer or destabilizer. By examining the competing phases and oxidation state preferences using pseudo-binary phase diagrams and first-principles calculations, we resolve the stability differences between bulk and thin film for all compositions. We systematically explore HEO macroscopic property sensitivity to cation selection employing both predicted and measured optical spectra. This study establishes a framework for understanding high-entropy oxide synthesizability and properties on a per-cation basis that is broadly applicable to tailoring functional property design in other high-entropy materials.

Evaluating the potential for micromobility in South Florida through a stated preference survey

This paper presents a study aimed at evaluating the potential for micromobility in South Florida. The study investigates influential factors motivating users to consider switching to micromobility modes, utilizing a stated preference (SP) approach. The survey collected information on respondents’ socioeconomic and demographic characteristics, current mode of transportation, and various mobility attitudes. Additionally, trip attributes for a recent journey were gathered to construct the SP scenarios. Analyzing the survey data using a mixed logit model revealed significant variables that influence users’ mode choice. The findings indicate that micromobility options are more likely to be adopted by younger, well-educated, and lower-income individuals, particularly students. Positive perceptions towards micromobility modes, alternative modes, and supportive infrastructure (e.g., ample bike lanes and parking facilities) act as key motivators for people to express their willingness to switch to micromobility. Conversely, individuals who prefer vehicle ownership are less inclined to choose micromobility, and perceived reliability of micromobility plays a crucial role in discouraging its adoption. Nevertheless, improving infrastructure support and service design can help counter this effect, especially in offering safe alternatives for congested areas. Moreover, those expressing concerns about environmental impacts are more inclined to consider micromobility, suggesting that emphasizing the environmental benefits could promote greater usage of micromobility services.

Developing a person-centered stated preference survey for dementia with Lewy bodies: value of a personal and public involvement process.

The development of high-quality stated preference (SP) surveys requires a rigorous design process involving engagement with representatives from the target population. However, while transparency in the reporting of the development of SP surveys is encouraged, few studies report on this process and the outcomes. Recommended stages of instrument development includes both steps for stakeholder/end-user engagement and pretesting. Pretesting typically involves interviews, often across multiple waves, with improvements made at each wave; pretesting is therefore resource intensive. The aims of this paper are to report on the outcomes of collaboration with a Lewy body dementia research advisory group during the design phase of a SP survey. We also evaluate an alternative approach to instrument development, necessitated by a resource constrained context. The approach involved conducting the stages of end-user engagement and pretesting together during a public involvement event. A hybrid approach involving a focus group with breakout interviews was employed. Feedback from contributors informed the evolution of the survey instrument. Changes to the survey instrument were organized into four categories: attribute modifications; choice task presentation and understanding; information presentation, clarity and content; and best-best scaling presentation. The hybrid approach facilitated group brainstorming while still allowing the researcher to assess the feasibility of choice tasks in an interview setting. However, greater individual exploration and the opportunity to trial iterative improvements across waves was not feasible with this approach. Involvement of the research advisory group resulted in a more person-centered survey design. In a context constrained by time and budget, and with consideration of the capacity and vulnerability of the target population, the approach taken was a feasible and pragmatic mechanism for improving the design of a SP survey.

Analyzing trade-off issues in synthesis of magnetic polymer compounds through theoretical investigation

Incorporating magnetic species, magnetic functional groups or additives, into polymer hosts is an effective method for synthesizing magnetic polymers. Polymers can gain magnetic moments not solely through magnetic coupling but also via the induction of Coulombic excitation. Attachment of the magnetic side-groups to the polymer backbone increases orbital localization in repeat units. This will bring two competing effects. The orbital localization will increase the intra-site Coulomb interaction, which increases magnetic moments in repeat units. Oppositely, the orbital localization also increases the energy splitting between orbitals on the polymer backbone and on side-groups, suppressing thus the magnetic moments of repeat units. However, a preference for low-spin states in the polymer units emerges when a substantial split in orbital energy occurs due to a strong coupling, consequently suppressing the magnetic moment. On the contrary, a minimal split in orbital energy within the polymer units can readily induce a high-spin state and generate a magnetic moment. However, in such cases, the Coulomb interaction triggered by the interconnected magnetic moieties might be too weak to produce a magnetic moment in the polymer. To explore this trade-off, we have proposed a theoretical two-level model aimed at elucidating the decision-making process of experimentalists during the synthesis of magnetic polymers. We also found that the dimerization of the polymer backbone together with the phonon dependence of spin–spin interaction between near-neighbor repeat units increases magnetic moments. As the magnetic responses arising from Coulombic interactions in polymers are intricately linked to carrier density, properties of the magnetic polymers acting as an active layer of a field-effect transistor can be tuned by the gate field, which controls the charge carrier density in the transistor transport channel.

Modeling choice determinants for bicycle-bus integration in developing countries: Case study in Fortaleza, Brazil

In the context of first/last mile, the bicycle-transit intermodality could lessen accessibility problems of stations and stops, reducing the need for feeder services. Although extensively addressed in developed countries, bicycle-transit is less studied in Global South metropolises, where distinct usage patterns are observed. Thus, this research aimed to model the choice behavior of the low-income population for bicycle-transit integration in Fortaleza - Brazil, a large Latin American city with a deployed bike-sharing system focused mainly on bike-bus integration. A Stated Preference (SP) survey was conducted addressing socioeconomic and trip characteristics, as well as policy variables such as bicycle parking and cycleways/lanes. SP data allowed the estimation of nested and mixed logit models representing choice behavior, and sample segmentation was used to identify heterogeneity among different groups of individuals. The results show that investing in bicycle infrastructure could stimulate bike-bus integration in Fortaleza; however, their relative importance depends on the analyzed individual strata. Findings also indicate the influence of public and road safety issues, as well as gender, income, and trip characteristics such as purpose and access distance.

Parking preferences of tourists in Sun Moon Lake scenic area

Sun Moon Lake is a famous tourist attraction in Taiwan and around the world. However, as Sun Moon Lake is surrounded by mountains and has limited land to develop, traffic congestion around the lake area is commonplace during peak holiday hours. This study focuses on the parking choices of visitors to Sun Moon Lake and develops a stated preference (SP) instrument with multiple scenarios to evaluate parking preferences under various financial and service level scenarios. We estimate Multinomial Logit (MNL) and Mixed Logit (ML) models, accounting for the panel nature of the data (PDML)to identify preferences for parking choices of visitors to Sun Moon Lake. The focus is on understanding how parking price, travel time, walking time, scenery, and transfers between public transport affect visitors’ parking choices. Unlike the findings of studies in metropolitan areas, which often find that parking price was the deciding factor, visitors’ parking decisions in the tourist area were more concerned with time factors, such as the time to search for places to park and traffic congestion, possibly due to the less frequent use of tourist venues. Although raising parking price can suppress parking demand in the scenic area, other parking management mechanisms work better, such as the construction of new and suitable outer parking lots with transfer buses to relieve the heavily congested traffic in the scenic area. In addition, we find that using the parking space in the area can be improved by beautifying the landscaping between the parking lots and the tourist spots, enhancing the pleasure of traveling along the routes, introducing multiple transfer modes, and providing real-time traffic information to tourists.

Welfare loss of pricing schemes in commuting train and interregional train operations

As metropolitan areas expand, commuter rail increasingly extends outward, creating unintended competition with interregional rail. Competition between commuter train service and interregional train service engenders an inefficient allocation of rail services, thereby inducing welfare losses. Hence, the imperative arises to stratify train classes clearly via rail fare adjustments. However, the public nature of rail services acts as a price ceiling, making it challenging to implement rail service fare increases, thus necessitating a solution capable of distinguishing between train classes with minimal fare adjustments. This study employs a Stated Preference (SP) survey targeting rail users traversing the Seoul-Suwon and Seoul-Cheonan segments of the Gyeongbu Line in Korea to elucidate remedies for enhancing the inefficiency prevalent in the rail pricing schemes. Distinct preference clusters for each rail service and the value of time and seat reservation service for rail users were preliminarily discerned by leveraging the SP survey. The proposed solution advocates for an increase in interregional rail service fares of $0.52 for the Seoul-Suwon section and $3.14 for the Seoul-Cheonan section, along with a restriction in seat reservation services, to achieve differentiation between train classes. Implementation of this solution is anticipated to recalibrate the mode share within the rail services, fostering efficiency in service allocation and bolstering the profitability of rail operators, thereby mitigating welfare losses. This study contributes to rail pricing and efficiency of railway operations through SP analysis of rail transportation.

Effect of Hydrophobic Side-Group Chemistry on Conformation, Intermolecular Structure and Dynamics of Cationic Poly(Vinyl Amine) in Aqueous Solution

Atomistic molecular dynamics simulations of the single chains of cationic polyelectrolytes of atactic poly(vinyl amines) (PVAm) modified by hydrophobic side-groups, poly(N-ethyl-n-vinyl amine) (ethyl-PVAm) and poly(N-benzyl-n-vinyl amine) (benzyl-PVAm), in aqueous solution, were carried out over the entire range of degree-of-ionization, f. These polymers, to our knowledge, were studied here by molecular simulations for the first time. The interplay of electrostatic interactions, excluded volume, hydrophobic effect, hydrogen bonding and counter-ion interaction with hydrophobic-polyions, is analyzed. The conformational transition of the polyelectrolyte chain from a coiled to an extended state was gradual and was observed for 0.3 < f < 0.7. Ethyl-PVAm and benzyl-PVAm exhibited similar values of radius-of-gyration Rg and end-to-end distance R for f > 0.5, in agreement with available experimental data. The more hydrophobic benzyl-PVAm showed a more extended conformation with a preference for trans states in the backbone. The change in chain expansion with respect to f was more for benzyl-PVAm as compared to ethyl-PVAm. The relaxation time of polymer-water H-bonds increased with f and the hydrophobicity of the polymer chain, with faster decay for ethyl-PVAm. The water molecules solvating the hydrophobic PVAm’s showed dynamical restriction due to bulky hydrophobic side-groups resulting in long-lived H-bonds. The number of polymer-water H-bonds showed a transition at a certain charge, which influenced the complex interplay of steric effect, hydrophobic effect and solvation.

Consequences of omitting non-lethal wildlife impacts from stated preference scenarios

Stated preference (SP) research on willingness to pay (WTP) for improvements to wildlife populations focuses almost universally on measures related to whether organisms live or die. Preferences for changes in non-lethal harm to wildlife are generally overlooked. To evaluate the consequences, this article develops a theoretical model and corresponding discrete choice experiment (DCE) to evaluate whether and how the omission of information on non-lethal wildlife harm influences WTP estimation, grounded in a case study of marine plastic reductions in the North Atlantic. The theoretical model suggests that when environmental programs have both lethal and non-lethal impacts on wild species, DCEs that omit information on the latter may not produce valid welfare measures. Empirical results show that the omission of this information has multiple impacts on welfare estimates, largely consistent with theoretical predictions. Results suggest that welfare estimates for wildlife improvements can be confounded by the omission of information on non-lethal harm from SP scenarios. Results also demonstrate the hazards of excluding potentially welfare-relevant information from SP scenarios when respondents might assume relationships between omitted information and other material included in the questionnaire.

‘The sovereign cloud’ in Europe: diverging nation state preferences and disputed institutional competences in the context of limited technological capabilities

ABSTRACT In the wake of the pervasive digitalisation of industry, the disruption of global supply chains during the COVID-19 pandemic, and a geopolitical race for the development of artificial intelligence models, the European Union has pivoted towards promoting ‘digital sovereignty’ across the technological stack. The paper looks more specifically at the cloud layer and analyses the draft European Union Cloud Services Scheme (EUCS) launched by the European Union Agency for Cybersecurity in December 2020. While EUCS is a highly technical scheme, the attempt to include digital sovereignty provisions in it provoked unexpected controversies around who pushes for ‘digital sovereignty’, why, and how feasible it is. The paper argues, first, that distributive conflicts between member states have led to strong objections towards including digital sovereignty provisions in EUCS. Second, diverging national preferences have also played out in horizontal inter-institutional conflicts around competences between the European Commission and the European Parliament. All in all, the paper makes a novel empirical contribution by studying the overlooked case of EUCS. Theoretically, it bridges the growing literature on digital sovereignty with classic theories of EU integration to identify key factors hindering the translation of digital sovereignty discourses into policy within a broader context of limited technological capabilities.

Toward better equity: Analyzing travel patterns through a neural network approach in mobility-as-a-service

The quantitative implications of Mobility-as-a-Service (MaaS) for travel equity and transportation system performance are underexplored, a gap primarily attributed to the complexities of forecasting travel pattern shifts in response to a broad spectrum of MaaS bundles via conventional methodologies. In this study, we utilize Neural Network models to identify the primary characteristics that influence the use of various travel modes, drawing upon data from a stated preference (SP) survey administered in Hong Kong. We evaluate the repercussions of enforcing various equity metric constraints on system efficiency and undertake a thorough analysis of the ensuing variations in system emissions and profitability. Our findings highlight the profound influence of established pre-MaaS travel patterns on subsequent behaviors following MaaS introduction. Moreover, our findings reveal that socio-demographic characteristics exert a greater impact on travel mode usage than the attributes of MaaS bundles, highlighting the entrenched lifestyle preferences and economic conditions that shape travel behavior. Furthermore, our research reveals that while the enforcement of equity constraints typically reduces system efficiency, specific ranges exist where such enforcement may be advantageous in terms of emission reductions and increased profitability for MaaS platforms.

Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model

In the rapidly evolving realm of transportation technology, the dynamic relationship between pedestrians and technological innovations has attained unprecedented importance. The complex social-technological intersection surrounding pedestrian road crossings has emerged as an attention for traffic safety. What distinguishes the contemporary urban environment is the rapid assimilation of intelligent transportation systems (ITS) into the transportation infrastructure, including technological elements such as autonomous vehicles, advanced surveillance systems, and smart infrastructure. To investigate how pedestrians perceive risks, trust technology, and make decisions in this era of technological progress, we designed a video-based questionnaire utilizing the stated preference (SP) methodology. We collected SP data from 589 Chinese pedestrians and employed an integrated choice and latent variable (ICLV) model to quantify the influence of risk perception and trust in autonomous vehicle (trust in AV), treated as latent variables, on their crossing decisions. Our findings indicate that the presence of autonomous vehicles significantly affects pedestrian crossing decisions. Specifically, an increase in the approaching vehicle speed and a decrease in the approaching vehicle distance increase the pedestrians’ tendency to choose not to cross the road, and the latent variables of risk perception and trust in AV strongly predict this phenomenon. The results of the scenario analysis show that, compared with overall pedestrians, middle-aged pedestrians and high-risk perception-level pedestrians are more conservative in their crossing decisions, but high levels of trust in AV improve pedestrians’ willingness to cross the street. Additionally, the pedestrian-related findings of this study at the social-technological intersection provide better understanding of the decision process and contribute to the planning and development of urban intelligent transportation systems.

Standing tall like Caesar? Qatar’s unwavering voice for Palestine at the United Nations

This article examines the complexities of Qatar’s Palestine policy, emphasising Doha’s multifaceted role as a mediator, problem-solver, humanitarian aid provider, and representative of the Palestinian issue at the United Nations. The study employs a mixed-methods research approach. Firstly, it utilises qualitative data from official statements, key policymakers’ remarks, and literature on Qatar’s foreign policy and Palestinian engagement. Secondly, it introduces text analytic methods such as latent Dirichlet allocation (LDA) topic modelling, word clouds and network analysis to identify key themes, relationships and trends in Qatar’s speeches. The findings reveal that the Palestinian issue has been a prominent and consistent topic in Qatar’s United Nations General Assembly General Debate addresses over the past five decades. Qatar has consistently advocated for a resolution to the conflict, emphasising the importance of peace, justice and the two-state solution. Qatar’s support for Palestine remains steadfast, despite pressure from other regional actors to end its engagement with Hamas and divert its attention from the Palestinian issue. This commitment to the Palestinian cause aligns with Qatar’s broader state preferences for an independent foreign policy, its opposition to external interference, and its aspiration to restore its role as a trusted international partner on global platforms.

INDIVIDUAL AND AGE PROPERTIES OF BEGINNING SINGERS AND THEIR INFLUENCE ON THE PROCESS OF VOCAL SKILLS’ FORMATION

The article examines the influence of individual and personal properties of junior and teenage pupils, which significantly affect the ontogenesis of musical abilities and their singing training. It was noted that taking these factors into account should lay the foundation for teaching singing to pupils of different ages. In teaching singing to elementary school students, attention is focused on the fact that, due to the adverse influence of the musical environment, a significant proportion of children develop a so-called «partial brake», which becomes an obstacle to the spontaneous and natural mastery of the skills of repeating the simplest melodies, and with it, to the development of pitch hearing, harmonic sense, musical memory and internal auditory images. The internal and external factors of these inhibitory processes are characterized, which include the peculiarities of children’s temperament and behavioral tendencies and their combination with habits that are formed in them as a result of pedagogical mistakes and family circumstances that negatively affect the process of realizing their speech and intonation potentials. Two types of temperament and the peculiarities of their manifestation in the process of teaching singing students are distinguished, namely: choleric temperament with a preference for the excitatory state of the nervous system and melancholic temperament with a characteristically weak type of nervous system and a preference for inhibitory processes. These properties often lead to the emergence of problems in the individual at the initial stage of musical development and negatively affect their condition throughout life. The external signs of their manifestation are the condition of the muscular body, the peculiarities of speech and communication, tending to the corresponding behavioral style. In the first case, the student’s excessive activity, general muscle stiffness, the need to quickly switch attention and the inability to concentrate it on the performance of tasks, the inability to act on the advice (instructions) of an adult are characteristic. For children with impaired tone of the nervous system, an overly relaxed, «flabby» muscle state is typical, which negatively affects the lack of support in the process of sound production and sound conduction, increased fatigue, slow formation of conditioned reflexes, which are the basis of the motor-singing skills formation. Keywords: individual and age psychological properties; development of musical abilities; singing lessons; vocal skills; students of different ages.

Антимонопольные требования по передаче публичного имущества в залог и их соотношение с нормами законодательства о государственных и муниципальных преференциях

The article provides a scientific analysis of the legal aspects of transferring state or municipal property in pledge and the need to comply with the requirements of the current Russian legislation, including antimonopoly legislation within of granting state and municipal preferences. The article analyzes the relevant law enforcement practice in the process of control and supervisory activities of the Federal Antimonopoly Service of Russia in this area.