Development of methodology for economic evaluation of land plots for the extraction and processing of solid minerals

Abstract

The Russian economy has a pronounced resource specialization; in many regions, subsoil use is a backbone or one of the main areas of the economy. In these conditions, the improvement of the methodology for the economic evaluation of lands on which mining enterprises are located is of particular relevance. On the basis of the existing experience in assessing industrial land, the authors present a developed methodology for determining the cadastral value of land plots where mining enterprises are located, taking into account their industry characteristics and the specifics of production and commercial activities. At the same time, cadastral valuation is considered as a specific form of economic valuation. Particular emphasis is placed on the importance of taking into account the cost factors that have the greatest impact on the formation of the cost of land for the extraction and processing of solid minerals, and the method of assessment depending on the characteristics of the object. To carry out theoretical research, the methods of analysis and synthesis of legal and scientific and technical literature in the field of cadastral and market valuation of land were used in the work. The practical part is based on the application of expert methods, including the method of analysis of hierarchies, system and logical analysis. The method of M.A.Svitelskaya was chosen as the basis, which presents a combination of modified methods of statistical (regression) modeling and modeling based on specific indicators of cadastral value. The use of this technique in economic practice contributes to increasing the efficiency of cadastral valuation and the objectivity of its results.

Study of the Relationship between Economic Growth and Greenhouse Gas Emissions of the Shanghai Cooperation Organization Countries on the Basis of the Environmental Kuznets Curve

“…However, the value of REC = 0.244 is statistically insignificant (p > 0.05), that is, there is insufficient evidence to assert that this indicator has a non-random character. The results obtained are similar to several works; for example, [72,85,86] have found that the p-values of GDP 2 , GDP 1,2,3 and GDP are statistically significant (5%) for Iran and BRICS countries, respectively; and statistical significance (5%) for FDI indicators [85] and FDI, NRR and REC [86] was found. In [79], they found that FDI and TO are statistically insignificant and have an inverse relationship with the indicator of environmental degradation for Russia.…”

“…According to the Cheddock scale, there was a positive and observable relationship between L(GHG) and L(GDP), L(GDP) 2 and L(GDP) 3 ; a positive and moderate relationship between L(GHG) and L(NRR); a negative and weak relationship between L(GHG) and L(FDI); a negative and observable relationship with L(TO) and a negative and moderate relationship between L(GHG) and L(REC). Additionally, there is a strong positive relationship between the regressors L(GDP), L(GDP) 2 and L(GDP) 3 . All GDP values have a marked and negative relationship with L(REC), moderate and positive with L(NRR) and weak and positive with L(FDI).…”

“…At the same time, one of the most significant environmental challenges of our time is the need to reduce the carbon intensity of the global economy [3], i.e., the need to reduce greenhouse gas (GHG) emissions [4]. The main source of GHG emissions is the energy sector, namely fossil energy, which is the main driver of development of all developed countries [5][6][7].…”

The The Need for the Green Economy Factors in Assessing the Development and Growth of Russian Raw Materials Companies

“…The company's activities without the presence of reserves and resources in the subsoil and development rights have no prospects for either economic development or economic growth [34]. Regulation of access to resources can be presented as one of the industry tools for development and growth [35]. The main regulatory tools are subsoil use regimes, licensing, and standardization [36].…”

Vocabulary Acquisition through Thesaurus Modelling within ESP Course for Engineering Students

“…Due to the obvious fact pointed by numerous researchers that "mineral resource complex" (Khrustaleva et al, 2021: 417) along with "mineral resources as natural capital" (Litvinenko et al, 2023: 95) and "a pronounced resource specialization" (Bykova et al, 2023) representing a clear-cut factor of a country's sustainable development, the segment of the mining engineering education should be given particular emphasis as a key factor of technological and scientific progress (Bergamo et al, 2022;Gutierrez-Bucheli et al, 2022;Sigahi, Sznelwar, 2023). Technical education "needs modern and sophisticated methods" (Skornyakova, Vinogradova, 2022: 100) to keep in line with the demands of the global labour market demand.…”