The aim of the study is to elaborate an econometric model to determine the conditions for ensuring the balanced development of environmental, economic, and social components of the Russian agricultural sector within the Eastern European region. The method of fuzzy sets was used to build an integral model for assessing the level of sustainable development of the agricultural sector in Eastern Europe on the basis of economic, environmental, and social sustainability indicators. The control indicators (independent variables) and integral economic, environmental, social sustainability (dependent variables) helped build multifactor linear regression models and calculate the indicators of elasticity of dependent variables from independent variables, which characterize the change in sustainable development indicators with the growth of controlling factors by 1%. This model allows us to define and analyze the levels of sustainable development of the industry, both in a specific country and within the region in general. The study shows that, for Russia and Eastern European countries, innovation is one of the crucial factors in ensuring sustainable development of agriculture in the region, taking into account the current state and level of economic development.
In this research, we applied the DEA method (data envelopment analysis) for a cross-country analysis of the comparative efficiency of government support for coal production in eight countries: The leading producers of coal and lignite, three OECD countries with developed economies (the USA, Germany, and Australia), four BRICS countries with developing economies and emerging markets (China, India, Russia, and South Africa), and Indonesia -the largest producer of coal and lignite in Southeast Asia from 2013 to 2018. An extended version of the DEA method allowed us to evaluate not only technicalities, but also price efficiency of budget support for natural gas production in the considered countries. The data for the empirical model characterizing the volume of financial support to oil producers through budgetary transfers and tax expenditures was taken from the OECD statistical base. The obtained results indicate low efficiency of state support for coal and lignite production in Russia, the industry that is responsible for the largest generation and emission of greenhouse gases. In accordance with international obligations, Russia should solve this problem. To achieve this goal, the government should legislatively limit the funding of coal projects and exclude coal projects from the sphere of credit and export agencies, development banks, and state banks.
This article aims to substantiate the factors by which the oil industry influences the sustainable development of OPEC++-participating countries under conditions of uncertainty. The impact of the price parameters of the world oil market and the tools of its regulation on the sustainability of OPEC++-participating countries was assessed using panel regression analysis. The sustainable development level of OPEC++-participating countries was analyzed by the integrated estimation method, focusing on crude oil market functioning features. Undoubtedly, we can testify that there is a direct correlation between the country’s level of socio-economic development and sustainable development. In resource economies, a reduction in oil production and exports cannot have the same effect on sustainable development as in countries that do not produce oil, or are characterized by a higher level of economic development. With an appropriate level of economic diversification and the effectiveness of the institutional framework for managing the oil market, sustainable development can be achieved. Based on the model of the integrated assessment of the sustainable development of oil-exporting countries, the impact of statistically significant financial investors’ panic factor on the imbalance of oil prices due to the uncertainty of economic development was determined. Key indicators that create a panic factor in the oil market were identified. These include the indicators of the number of countries enforcing lockdown and the pandemic’s duration. We argue for the need to develop an effective strategy for achieving the sustainable development goals (SDGs) in OPEC++-participating countries, based on the management of crude oil supply and demand forces and by considering the effect of financial investors’ panic factor on the oil market.
The paper aims to examine the internal motivation of taxpayer's behavior, and the factors affecting tax morale and voluntary tax compliance The authors provide scientific results of the tax experiments in post-Soviet countries (Russia and Belarus). The laboratory tax experiment was carried out in a form of a business game engaging students of various levels of education and background. The controllabi-lity of the experiment with the impossibility of material encouragement is ensured in the student's environment in the form of scores to the final attestation. In order to obtain data on tax behavior motivation, a survey on attitude to tax system wаs conducted. Respondents (experiment participants) were asked to indicate their level of agreement with defined statements by Likert scale. To assess the differences between two groups of participants (who paid and who do not paid tax), the data obtained as a result of filling out the questionnaire using the Mann-Whitney U-test and the Kruskal-Wallis H-test were analyzed. The study results affirmed the hypothesis generated earlier, the personal tax morale influences the national tax system and the tax behavior of an individual. The article proves that the awareness of the ways government spends public revenue and the trust level to the state and tax system itself influence tax behavior directly. The civil awareness on the real state of fiscal distribution increases the trust level to the government among taxpayers and is the essential motivation to pay taxes. The developed methodology may be used in an educational process to increase tax literacy, its further application in the scientific research will allow us to derive evidence-based methods and ways to directly influence tax behavior, which may enlarge the public revenue in the times of an unstable global economy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.