Improving Access to Environmental Information for the Subjects of Tax Relations

Zvereva, Anna; Akhmadeev, Ravil; Morozova, Tatiana; Bykanova, Olga; Avvakumova, Irina

doi:10.5593/sgem2020/5.2/s21.034

Cited by 4 publications

(3 citation statements)

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“…States form their own, usually rather limited, indicator systems that characterize government debt policy, while the indicator limit values set at the national level are not always objective by value, often differ in discreteness in time, and by loans. This situation, in our opinion, does not allow giving an adequate assessment of the state of sovereign debt sustainability, and economic security in the system of public debt management (Flachenecker, 2018;Zvereva, Akhmadeev, Morozova, Bykanova and Avvakumova, 2020).…”

Section: Resultsmentioning

confidence: 93%

Priorities of public debt policy and security of the national economy

Voronkova

Gromova

Anvarov³

et al. 2021

Nexo Revista Científica

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The article examines the content of public debt policy as an object of economic security in terms of methodological and practical aspects based on the assessment of debt sustainability using a system of indicators. The authors raise the issue of the need to develop a public debt management mechanism, to search for new strategies and tools, including by strengthening the functional role of international financial institutions.

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Section: Resultsmentioning

confidence: 93%

Priorities of public debt policy and security of the national economy

Voronkova

Gromova

Anvarov³

et al. 2021

Nexo Revista Científica

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“…Dynamics of the NWF volume and trend line, billion rubles. Source: compiled by the authors based on (Mishakov et al, 2021;Zvereva et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Financial Risk Management of the Russian Economy During the COVID-19 Pandemic

Kolchin¹,

Glubokova²,

Gordienko³

et al. 2023

Preprint

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The research objects are the tax and budgetary policies of the Russian Federation. In this research, financial (budgetary) risks are understood as a decrease in the balance of the state (national) budget resulting from a reduction in revenues or an increase in expenditures. This research considers production in the main sectors of the economy as a key factor of financial risk in the COVID-19 pandemic. The research aims to analyze the main directions of the budgetary and tax policy of the Russian Federation aiming at supporting the economy and the population during the spread of COVID-19, which is especially relevant in connection with the expected recession in a number of sectors of the economy and a decrease in the level of employment and, accordingly, the well-being of citizens. In these conditions, it is necessary to adjust the budgetary and tax policy to preserve the state’s social obligations and expand social and economic support for businesses and citizens to smooth out the negative consequences of the impact of restrictive measures. The authors applied systemic and institutional approaches and statistical methods. The main results of the research reflect the need to (1) implement support measures (tax and budgetary incentives) for small and medium-sized enterprises, on which the crisis provoked by the COVID-19 pandemic has had the most destructive impact, and (2) to expand the volume of budgetary financing of social programs for financial risk management of the Russian economy during the COVID-19 pandemics.

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“…The following main criteria can be used for the correct estimation: type of property, taking into account the influence of pricing factors and based on the property location (Creedy and Gemmell, 2020), the target use of the property (commercial, non-commercial, residential), options of elite and non-elite housing, finished objects or objects under construction (Avvakumova, 2020), refurbished or new, ready-to-use, relevant communications (Zvereva et al, 2020), and other applicable generic assessment of objects compiled based on special information documents.…”

Section: Discussionmentioning

confidence: 99%

Creating an interference model of the cadastral value of real estate: advantages for business

Kulchytskiy,

Aleshko,

Fomin

et al. 2023

Br. J. Ed., Tech. Soc.

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Resumo. Na formação de relações de mercado em países com economias em desenvolvimento, a avaliação cadastral de imóveis não é apenas uma forma de construir modelos matemáticos. Neste caso, um papel importante é atribuído às fontes de informação para a construção de modelos estatísticos confiáveis que levem em consideração as propriedades de interferência dos objetos imobiliários. A escolha do método de avaliação cadastral é confiada a especialistas altamente profissionais e com experiência relevante. Neste sentido, o objetivo desta investigação sobre os valores e as relações entre o valor de mercado e o valor cadastral do imóvel é determinar o seu impacto na forma de determinar a base tributável dos impostos prediais. Ao longo do estudo, as medidas propostas permitem o cálculo do valor cadastral, em primeiro lugar, para agilizar o atual sistema de formação de avaliações. Além disso, a utilização do fator de correção permitirá aos contribuintes estabelecer equidade na tributação dos impostos sobre a propriedade, uma vez que o valor cadastral é determinado por diferentes abordagens interferenciais, utilizando vários fatores de influência nos modelos. Método comparativo, método de custo, método de receita e combinação dos métodos propostos são utilizados. Face aos resultados, estas propostas são relevantes, especialmente nas actuais condições de influência da COVID-19 em todas as economias, bem como no clima de negócios das estruturas empresariais, uma vez que devido a factores macroeconómicos está a assumir uma tendência decrescente.

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Improving Access to Environmental Information for the Subjects of Tax Relations

Cited by 4 publications

References 0 publications

Priorities of public debt policy and security of the national economy

Priorities of public debt policy and security of the national economy

Financial Risk Management of the Russian Economy During the COVID-19 Pandemic

Creating an interference model of the cadastral value of real estate: advantages for business

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