Abstract. In this research the methods which allow developing indicators, reflecting the level of production potential and quality of life are investigated. The statistics presenting the level of production potential and quality of life are selected and grouped. By means of the factorial analysis indicator variables are allocated by groups. Regression dependences between the group indicators and indicators reflecting the level of production potential and quality of life are received. Normative levels of production potential and quality of life development are formed. The research has been realized on the example of the Central Federal District of Russia (17 regions) for 2009-2014. Keywords: Potential; Production Potential; Region; Factorial Analysis; Quality of Life; Indicators; Regression; Normative Levels JEL Classification: C15; P25; P46; O25 DOI: http://dx.doi.org/10.21003/ea.V157-0014 Тінькова О. В. Південно-Західний державний університет, Курськ, Російська Федерація Тіньков С. А. Південно-Західний державний університет, Курськ, Російська Федерація Моделювання індикаторів розвитку виробничого потенціалу та якості життя населення Анотація. У статті досліджено методи, що дозволяють розробити індикатори, які відбивають рівень виробничого потенціалу та якість життя населення. Відібрано й згруповано статистичні показники, що відображають рівень виробничого потенціалу, а також якість життя. За допомогою факторного аналізу виділено індикативні змінні по групах. Отримано регресійні залежності між груповими індикаторами й показниками, що відбивають рівень виробничого потенціалу і якість життя. Сформовано нормативні рівні розвитку виробничого потенціалу та якості життя. Ключові слова: потенціал; виробничий потенціал; регіон; факторний аналіз; якість життя; індикатори; регресія; нормативні рівні показників. Тинькова Е. В.Юго-Западный государственный университет, Курск, Российская Федерация Тиньков С. А. Юго-Западный государственный университет, Курск, Российская Федерация Моделирование индикаторов развития производственного потенциала и качества жизни населения Аннотация. Авторами исследованы методы, позволяющие разработать индикаторы, отражающие уровень произ-водственного потенциала и качество жизни. Отобраны и сгруппированы статистические показатели, отражающие уровень производственного потенциала, а также качество жизни. С помощью факторного анализа выделены индикаторные переменные по группам. Получены регрессионные зависимости между групповыми индикаторами и показателями, отражающими уровень производственного потенциала и качество жизни. Сформированы нормативные уровни развития производственного потенциала и качества жизни. Ключевые

The functioning of any complex system is usually assessed by observable parameters that are obvious to the researcher. Depending on the complexity of the system, there can be a fairly large number of such parameters (indicators) that can be measured based on existing measurement systems (scales). This is especially true for complex socio-economic systems. In this regard, at least two main tasks arise: how to determine the state and dynamics of the entire system as a whole and what is the influence and mutual influence of the elements of the system among themselves. One of such complex elements is the production potential of the region, the state and dynamics of which cannot be directly assessed. Usually, to assess it, indices, regression relationships, and an assessment of its main components (primary indicators) are used. This article discusses an approach based on the assessment of production potential using indicators derived from factor analysis. Factor analysis makes it possible to reduce the number of observed features (indicators included in the assessment of production potential) by searching for a smaller number of hidden (latent) factors (we called them indicators). The same approach was used to search for indicators reflecting the socio-economic development of the region. The article also examines the impact of the level of development of production potential on the socio-economic development of the region. At the same time, primary statistical indicators processed using factor analysis were used as the basis of the evidence base. Identified indicators reflecting the development of individual components of production potential. A rating assessment of the regions of the Central Federal District was carried out according to the proposed indicators.

Purpose: The aim of this study is to examine acceptable methods for choosing directions for increasing the sustainability of supply chains in construction. The  study  also determinate   the  factors  affecting the sustainability of supply chains in construction   Theoretical framework: Supply chain integration in many industries is based on integrated enterprise resource and relationship processing systems (ERP), but the construction industry has traditionally lagged behind in these processes. The need to create effective relationships in supply chains and increase the resilience of supply chains in construction has become evident in the context of the pandemic. However, the weak formalization of these processes in construction has led to the need to find acceptable methods for choosing directions for increasing the sustainability of supply chains in this industry.   Methodology: This is a  descriptive-based  study.  Approaches to factors of the supply chain stability were researched and systemized and from this the situations for the increasing stability of the supply chains are determinated. The choice of a model of the increasing stability of the supply chains was determined by the analytic hierarchy process.  Hierarchy analysis was used as a method for selecting a scenario for increasing the sustainability of supply chains in construction.   Findings: The results of the research carried out to conduct a multi-criteria choice using the opinions of experts in the construction industry. The choice of scenarios for increasing sustainability is due to the fact that the introduction of adaptive information technologies allows to take into account all groups of selected factors, while ensuring synchronization of production planning, product shipment and inventory management, increasing market feedback, ensuring that production volumes correspond to product demand, as well as reducing logistics costs and the price of products for the end customer.   Research, Practical  &  Social  Implication: The  study  contributes  to  a  better understanding crucial factors of the sustainability of supply chains in construction. The processes  of  analyzing   and evaluating   factors contribute  to improving  the sustainability of supply chains in construction,  by  focusing  on  critical  factors,    adopting  them  according  to  the requirements  of the construction. Originality/value: Based on the presented results, concluded that the scenario formation of increasing sustainability of the sustainability of supply chains  by the introduction of adaptive information technologies allows to take into account all groups of selected factors, while ensuring synchronization of production planning, product shipment and inventory management, increasing market feedback, ensuring that production volumes correspond to product demand, as well as reducing logistics costs and the price of products for the end customer.

The article considers the impact of urban transport on the ecology of the megalopolis and public health. Based on the analysis of scientific publications and statistical data, certain systemic problems have been identified that impede the improvement of the urban environment ecology. The basic algorithm of the eco-monitoring system is offered, which makes it possible to assess the effectiveness of measures and the relevance of the regulatory framework aimed at preserving the ecology of the urban environment, ensuring the preservation of human lives.