Comprehensive Analysis Methodology Research Articles

ADAPTING KIRKPATRICK’S MODEL FOR EVALUATING PROFESSIONAL EDUCATIONAL PROGRAMS IN TOURISM WITHIN HIGHER EDUCATION

In the context of rapidly changing geopolitical dynamics and constant evolution in the tourism sector, the effectiveness of educational programs in tourism has become critically important for preparing professionals capable of adapting to new challenges. This article focuses on the use of the Kirkpatrick Model as a strategic tool for evaluating and improving professional higher education programs in tourism. Based on four levels of evaluation — reaction, learning, behavior, and results — the model is adapted to the specifics of educational programs in the field of tourism, offering a comprehensive analysis methodology. The aim of adapting the Kirkpatrick Model is to diagnose and address the vulnerabilities of educational programs, refine curricula, and introduce innovative courses that meet both current and projected sector needs. This approach is particularly relevant in the light of the rapidly changing requirements of the tourism industry, where it is crucial not only to provide up-to-date knowledge but also to develop students’ skills in critical thinking, adaptation, and innovative problem-solving. Applying to the Kirkpatrick Model to university programs in tourism ensures not only high quality of education but also its relevance and practical orientation. This paves the way for creating a new generation of tourism professionals, prepared to work effectively in the conditions of global competition and changing market demands. Such an approach not only improves educational programs but also enhances the international competitiveness of graduates, which is a key factor for success in the modern tourism industry.

Role of social capital and financial inclusion in sustainable economic growth

This study examines the interplay between social capital and financial inclusion in fostering sustainable growth, utilizing the Two Step System GMM methodology for comprehensive analysis. Financial participation was determined to have a strong and meaningful correlation with financial literacy and was also found to have a substantial and meaningful influence on sustainable growth. The research highlights that while financial literacy is a crucial mediator, social capital significantly moderates the relationship between financial inclusion and sustainable development. The research offers valuable insights and practical implications for businesses and authorities, particularly in developing nations. Our findings contribute to the broader understanding of how financial and social factors drive economic sustainability.

Product Marketing Strategy For Micro, Small and Medium Enterprises

This research was conducted to find out about how the comparison or advantages between conventional and sharia marketing strategies in MSME players. This research uses the Systematic Literature Review method. This research procedure has 4 stages consisting of identification, screening, eligibility, and inclusion. The literature in this study comes from several journals from Google Scholar. After searching for articles with a range of 2011 to 2023, there were 20 articles that discussed the Marketing Strategy of MSME Products. The purpose of the marketing strategy is to facilitate MSME players in Indonesia. Highlights : Conventional vs. Sharia Marketing: Understand the comparative advantages. Systematic Literature Review: Methodology for comprehensive analysis. Impact on MSMEs: Enhancing accessibility and effectiveness of marketing strategies. Keywords : Conventional marketing, Sharia marketing, MSME players, Systematic Literature Review, Product

Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing.

The study aims to assess racial and language disparities in pediatric emergency department (ED) triage using analytical techniques and provide insights into the extent and nature of the disparities in the ED setting. The study analyzed a cross-sectional dataset encompassing ED visits from January 2019 to April 2021. The study utilized analytical techniques, including K-mean clustering (KNN), multivariate adaptive regression splines (MARS), and natural language processing (NLP) embedding. NLP embedding and KNN were employed to handle the chief complaints and categorize them into clusters, while the MARS was used to identify significant interactions among the clinical features. The study also explored important variables, including age-adjusted vital signs. Multiple logistic regression models with varying specifications were developed to assess the robustness of analysis results. The study consistently found that non-White children, especially African American (AA) and Hispanic, were often under-triaged, with AA children having >2 times higher odds of receiving lower acuity scores compared to White children. While the results are generally consistent, incorporating relevant variables modified the results for specific patient groups (eg, Asians). By employing a comprehensive analysis methodology, the study checked the robustness of the analysis results on racial and language disparities in pediatric ED triage. The study also recognized the significance of analytical techniques in assessing pediatric health conditions and analyzing disparities. The study's findings highlight the significant need for equal and fair assessment and treatment in the pediatric ED, regardless of their patients' race and language.

Cross-gender Analysis of Iraqi EFL Learners Recurrent Grammatical Errors in English

The study attempts to investigate recurrent grammatical errors that hinder Iraqi undergraduate EFL learners` mastery of English grammar. If male-female learners of English are not competent in the structural and semantic bases of tense, they can hardly produce acceptable sentences in the L2/FL. For this purpose, an elicitation test is used to sort out the typical errors of Iraqi male-female undergraduate students (1st, 3rd and 4th stage) of the Department of English Language and Literature in Mustansiriyah University / Iraq, with respect to specific recurrent tense errors reflecting the structure of their transitional competence or what S. Pit Corder (1976, p.15) labels idiosyncratic dialect. The justification behind this study is those adopted following Corder (1976, p1), who mentions that two justifications are essentially relevant for the study of learners' errors, one of which is the pedagogical justification, which implies that eliminating any error requires a good understanding of the nature of that error. The research follows a comprehensive analysis methodology. It combines quantitative and qualitative approaches to analyze samples from Iraqi male-female EFL learners. The study found that there are several cross-gender differences concerning the recurrent errors, which might be attributed to several factors, i.e. linguistic and sociolinguistic. The study takes these factors as the building blocks for suggesting pedagogical solutions. The study was originally an attempt to help EFL learners eliminate such recurrent L1\L2 conflicting errors.

Development of the Methodology for Comprehensive Analysis of the Efficiency of the State Financial and Investment Model of Population Social Security Using the Example of Russian Regional Finance

The effectiveness of financing the social security system is one of the key conditions for sustaining sustainable economic growth. The global economic crisis of 2020 associated with the coronavirus pandemic, and the subsequent crisis of 2022, due to the urgent need to carry out a structural transformation of the Russian economy in the context of large-scale international sanctions, emphasized the relevance of the problem of increasing the efficiency of budget expenditures on social policy. The purpose of the study is to develop methodological approaches to the comprehensive analysis of the effectiveness of the State financial and investment model of social security of the population (further — SFIMSS) using the example of data on the socio-economic development of the regions of Russia. The following methods were used: coefficient analysis, ranking, construction of heat maps and regression analysis. The coefficient of efficiency of budget expenditures at the regional level makes it possible to have fairly comprehensive assessments of the regions. The application of the regression analysis methodology makes it possible to expand its effectiveness and identify important dependencies and relationships on the basis of which it is able to establish the policy of state financial regulation. This study evaluated the effectiveness of 85 regions for the period from 2017 to 2021. The most and least effective regions were identified. The construction and interpretation of the regression model made it possible to identify a number of significant exogenous factors such as GRP, GRP per capita, volume indices of GRP, that positively impact the effectiveness of SFIMSS. At the same time, the public debt on loans in rubles, the volume of budget expenditures on social support measures for certain categories, and the proportion of the population older and younger than working age have a negative impact. In the article, recommendations are given on the development of mechanisms for increasing the efficiency and targeting of budget expenditures, as well as the creation of conditions to accelerate economic growth in regions, which will increase the effectiveness of SFIMSS.

CATACHRESIS IN THE IMAGERY SPACE OF ENGLISH POETIC DRAMA: A COGNITIVE PERSPECTIVE

CATACHRESIS IN THE IMAGERY SPACE OF ENGLISH POETIC DRAMA: A COGNITIVE PERSPECTIVE

A comprehensive methodology for analysis of coagulation performance: Dosing approach, isotherm modelling, FTIR spectroscopy and floc characterization

Isolated studies for the evaluation of coagulation considering either microscopic or macroscopic dimensions have largely been discussed. However, comprehensive analysis of coagulation including various dimensions is imperative to design an optimal coagulation system. In this work, a comprehensive methodology has been described which includes dosing approach, mathematical modelling, chemical analysis by FTIR (Fourier Transform Infrared) spectroscopy, image analysis for floc properties and various analytical procedures. Jar tests were performed on simulated waters containing humic acid and kaolin using high basicity PACl (Poly Aluminium Chloride). A PODR (point of diminishing return) approach is used for the determination of coagulant dose corresponding to TOC (Total Organic Carbon), DOC (Dissolved Organic Carbon) and UV254 (Ultraviolet Absorbance at 254 nm). On average, PODR for UV254 was slightly greater than that of TOC followed by that of DOC. The correlation between the input TOC and PODR values was in the order: TOC (R2 = 0.84) > UV254 (R2 = 0.83) > DOC (R2 = 0.65). The isotherms are analyzed by non-linear error functions: RMSE (Root mean square error), HYBRID (Hybrid fractional error function), ARE (Average relative error), MPSD (Marquardt's percent standard deviation) and Chi-Square. It was observed that error functions RMSE, HYBRID and Chi-Square can be successfully used for non-linear analysis. However, ARE and MPSD cannot be used at low concentrations as they showed high residual values. Further, image processing is used to analyze floc size and fractal dimension. The interactions of species and the physical structure of flocs derived based on adsorption isotherms are corroborated by using the FTIR data.

ОБЛІКОВО-АНАЛІТИЧНЕ ЗАБЕЗПЕЧЕННЯ УПРАВЛІННЯ ОРЕНДНИМИ ВІДНОСИНАМИ НА ПІДПРИЄМСТВАХ АПК

The article of accounting and analytical information at the modern stage of management determines the level of efficiency and effectiveness of management activities, which is of decisive importance in modern management conditions. In this aspect, the sustainable development of business entities depends on the formation of an effective system of accounting and analytical support for enterprise management. The purpose of the article is the formation of accounting and analytical support for the management of lease relationships against the background of the needs of ensuring the sustainable development of economic entities. The main functions of the accounting and analytical provision of lease relationships were analyzed, the economic essence of the lease was disclosed in accordance with P(S)BO 14 "Lease". The components of the organization of the system of accounting and analytical provision of lease relations at the enterprises of the agro-industrial complex in accordance with the regulatory framework have been studied. One of the most important issues in the formation of an effective and rational system of analytical support for management is the definition of objects, subjects and the purpose of the organization of analysis at a specific enterprise. At agro-industrial complex enterprises, fixed assets are the basis of economic activity. However, in the conditions of the financial and economic crisis, such a specific mechanism for attracting fixed assets as rent is becoming more and more popular. A methodology for comprehensive analysis of farm lease operations has been developed. During the analysis, special techniques of economic analysis, such as horizontal and vertical analysis, were used. An important direction of analytical evaluation is the analysis of the effectiveness of the use of leased fixed assets using a system of cost and physical indicators. An abstract-logical approach was used to generalize the theoretically presented material and form practical conclusions. As a result of the conducted research, proposals were made and relevant conclusions were drawn regarding the improvement of the efficiency of the use of leased fixed assets in the economy, which led to an increase in the profitability of the economy.

Analyzing the current state of the Russian economy at the macro-, meso- and micro-levels

Subject. The article examines the issues of economic policy and analysis of the current state of the economy at the macro-, meso- and micro-levels. Objectives. The purpose is to underpin theoretical aspects and methodology for comprehensive analysis of the current state of the economy at the macro-, meso- and micro-levels, to develop some aspects of the methodology to analyze the implemented economic policy. Methods. The study rests on general scientific principles and methods of research, like abstraction, generalization of approaches of domestic and foreign authors to economic policy and analysis of economic condition of economic entities. Results. The study summarizes the directions of sanctions at the macro- and meso-levels, explores the directions of damping sanctions of the policy of the State and enterprises. I offer a methodology for assessing the current state of the economy. It includes three stages. At the first stage, macroeconomic indicators are assessed, including indicators of economic growth, unemployment, inflation, foreign economic activity, etc. At the second stage, sectoral indicators are evaluated, like stock indices, indices of production growth, business confidence. At the third stage, indicators of companies included in sectoral stock indices are calculated. The methodology was tested at all three levels of the analysis, and indicators for enterprises representing industries were calculated. Conclusions. The study enabled to assess the signs of sustainability of economic systems, structural changes in the economy, to analyze the anti-crisis policy and sustainability of economic entities.

Prediction of persistent form of atrial fibrillation using left atrial morphology on preprocedural computed tomography: application of radiomics

Abstract Background Radiomics is a comprehensive analysis methodology of medical image and involves the extraction of numerous features from standard imaging. Its usefulness has been reported mainly in the field of cancer for diagnosis and prediction of prognosis. In the territory of cardiac imaging, several reports have investigated the utility of radiomics for classifying the risk of prognosis in coronary artery disease, and few practical applications have been reported for patients with atrial fibrillation (AF) who underwent catheter ablation (CA). Purpose The objective of this study was to evaluate the utility of radiomics analysis applying to the preprocedural cardiac computerized tomography (CT) in AF patients. Methods We analyzed 525 consecutive three-dimensional CT in patients with AF who underwent CA. After marking the region of interest on left atrium (LA) (including the root of pulmonary veins) semiautomatically, 107 radiomics feature values were obtained by Python program. We calculated the amount of representative statistics for each radiomics feature for prediction of persistent AF (PeAF) (Wald statistic in logistic regression analysis) and LA diameter (LAD) (coefficient correlation), respectively. To compare the distribution of the two statistics, the relative importance (calculated as the ratio of statistic to the maximum statistics among 107 radiomics features [%]) was calculated for each statistic. Further, we compared the area under the curve (AUC) in receiver operation characteristic (ROC) curve analysis for predicting PeAF between radiomics features (multivariate model) and LAD (single parameter). Results In 525 study patients (age 63±10 years old and male 80%), 253 (48%) were PeAF and remaining were paroxysmal AF (PAF). LAD was 43±6 mm and 38±6 mm in patients with PeAF and PAF, respectively. The relative importance of the two statistics (Wald statistic for PeAF and coefficient correlation for LAD) of 107 radiomics features are displayed in Figure 1, which shows similar distribution of two statistics. It means the close relationship between LA morphology and the form of PeAF in AF patients and the radiomics features possibly well explain the relationship. In Figure 2, the predictive capability for PeAF was compared between radiomics feature values and LAD, where the AUC was 0.85 (95% confidence interval [CI], 0.82–0.88) and 0.73 (95% CI, 0.69–0.78) for radiomics feature values and LAD, respectively (Delong test, P<0.001). Conclusion We applied the radiomics features for the evaluation of LA morphology. The predictive capability for PeAF in the prediction model with the radiomics feature values was much better than that with LAD alone. Since radiomics feature analysis yields a huge number of numerical values representing the LA morphology in a reproducible manner, it would provide a new direction to construct a good prediction model using machine learning including artificial intelligence out of a routine cardiac CT scan. Funding Acknowledgement Type of funding sources: None.

Prediction of recurrence after catheter ablation for atrial fibrillation using left atrial morphology on preprocedural computed tomography: application of radiomics

Abstract Background Radiomics is a comprehensive analysis methodology of medical image and involves the extraction of numerous features from standard imaging. Its usefulness has been reported mainly in the field of cancer for diagnosis and prediction of prognosis. In the territory of cardiac imaging, several reports have investigated the utility of radiomics for classifying the risk of prognosis in coronary artery disease, and few practical applications have been reported for patients with atrial fibrillation (AF) who underwent pulmonary vein isolation (PVI). Although the left atrial morphology can affect the clinical course after the PVI procedure, it is unclear whether the radiomics feature values of the left atrial morphology on cardiac computed tomography (CT) is useful for predicting the AF recurrence after PVI. Purpose To predict the recurrence of AF after PVI using the radiomics feature values of the left atrial morphology on cardiac computed tomography (CT). Methods We analyzed 525 consecutive three-dimensional cardiac CT in patients with atrial fibrillation who underwent PVI from 2018 to 2019 in our institute. After marking the region of interest on left atrium (including the root of pulmonary veins) semiautomatically, 107 radiomics feature values were obtained by Python program. After excluding the parameters having collinearity or with low predictive capability for the recurrence of AF after PVI, 42 parameters were applied to the final prediction model. Two prediction models were constructed by multivariate Cox regression analysis and machine learning model by support vector machine algorithm. Results The area under the curve (AUC) for predicting the recurrence of AF was 0.815 for the multivariate Cox regression model and 0.826 for the machine learning model by support vector machine. Conclusion The radiomics feature values on preprocedural cardiac CT could be helpful for predicting the recurrence of AF after PVI. Since radiomics feature analysis yields a huge number of numerical values representing the left atrial morphology in a reproducible manner, it would provide a new direction to construct a good prediction model using machine learning including artificial intelligence out of a routine cardiac CT scan. Funding Acknowledgement Type of funding sources: None.

Nonlinear finite element modeling of the impact of reinforcement corrosion on bridge piers under concentric loads

AbstractCorrosion of reinforcing steel in reinforced concrete (RC) infrastructure is one of the most detrimental deterioration mechanisms, affecting both safety and serviceability. In the present study, a comprehensive analysis methodology of corrosion damage is adopted. The detrimental effects of corrosion‐induced degradation of material properties on the ultimate capacity of an existing aging RC bridge pier under concentric loading are investigated. A three‐dimensional nonlinear finite element analysis using the commercially available finite element program DIANA is used. The main corrosion‐induced deteriorating factors considered in the present study are: concrete strength degradation within the cover and part of the confined concrete core due to corrosion‐induced cracking, degradation of confinement effects, steel area reduction due to uniform corrosion (in both longitudinal and tie reinforcement), steel ductility degradation due to pitting corrosion, buckling of compressive steel bars due to cross‐section reduction and confinement degradation, and bond strength degradation between steel and concrete induced by concrete cracking/spalling. The methodology is evaluated by comparing the numerical results to those of corroded column tests reported in the literature.

Trends and innovations in reporting on the sustainable development of economic entities

Subject. This article discusses the development priorities and major innovations in the sustainability reporting standards of the Global Reporting Initiative (GRI). Objectives. The article aims to reveal the essence of the most important changes made to the sustainability reporting standards in connection with their improvement, and assess the impact of innovations on the informative and analytical value of sustainability reporting. Methods. The study relies upon analysis and synthesis, comparison, generalization, and abstraction. Results. The article shows trends in the preparation of sustainability reporting, discloses the background for revising and expanding the list of sustainability reporting standards, and describes the essence of innovations introduced into the GRI Standards. Conclusions and Relevance. The main innovations in the sustainability reporting standards are related to the revision of the GRI Universal Standards, updating the Topic Standards, and the development of Sector Standards. The application of updated and expanded standards for sustainability reporting will help improve the corporate practice of disclosing information on the economic, social and environmental performance of organizations. The results obtained can contribute to the further promotion of sustainability reporting, improving the practice of its preparation, and developing a methodology for comprehensive analysis of economic entities' sustainable growth.

Языковая личность суицидента: лингводискурсивные маркеры амбивалентности и демонстративности

The analysis of the texts of different genres, published on the personal page of the user of the social network Vkontakte, with 48 posts and extended dialogues considered, allowed identifying and describing the linguodiscursive signs of ambivalence and demonstrability as the dominant manifestations of the language personality of the suicidal person. These signs were determined at the level of intentional organization of discourse and specificity of the composition and configuration of figurative-expressive means. The comprehensive analysis methodology involved compiling a fragmentary speech portrait of language personality and linguodiscursive, including intensional, stylistic, and contextual analyses. Intentional analysis revealed a complex set of contradictory emotions and feelings, assessments and attitudes. The linguistic personality under study can be characterized by a developed imagination, non-standard and paradoxical semantic articulations and comparisons, combined with uncommon linguistic and creative abilities. Figurative means (metaphor and comparison, hyperbole, rhyme, and rhythmization in the prose text, oxymoron, playing around with antonyms and polysemes) most fully reflect the inner world of the person: an emotional state of confusion, upheaval, desolation, total despair, rejection of oneself, others, and the world, feeling of tragedy, and meaninglessness of existence. The linguodiscursive level reveals the juxtaposition of cognitive and communicative contradictory intentions, vocabulary and idiomatics of social degradation, the abundance of semantic and stylistic contrasts, aphoristic and puns writing style, language experiments, and games.

Methodology of studying art: sociology, culturology, and art history

This article describes the capabilities of methodology of studying art in the three interrelated scientific fields – sociology, culturology, and art history. Emphasis is placed on determination of the key criteria of comprehensive approach towards the analysis of art: each of the three scientific fields may have its own unique criteria for such analysis, but there also universal criteria that allow most fully assessing the essence and purpose of art, considering the general trends of its development in modern reality. The subject of this research is the methodology of comprehensive analysis of art using the instruments of sociology, culturology, and art history. The main conclusions are as follows: 1) disclosure of the content of the methodology of studying art; 2) determination of various criteria for comprehensive analysis of art within the framework of sociology, culturology, and art history; 3) demonstration of capabilities of using certain criteria in analyzing the essence of art and artworks; 4) focus on the social dimension of art, touching upon the heuristic value of the methods of applied sociological research; 5) characteristics of the capabilities of studying the symbolic nature of art in the context of culturology; 6) assessment of the development trends of the methodology of modern art history.

An ion-pair free LC-MS/MS method for quantitative metabolite profiling of microbial bioproduction systems

Data-driven engineering of microbes has been demonstrated for the sustainable production of high-performance chemicals. Metabolic profiling analysis is essential to increase the productivity of target compounds. However, improvement of comprehensive analysis methodologies is required for the high demands of metabolic engineering. Therefore, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) based methodology was designed and applied to cover a wide target range with high precision. Ion-pair free separation of metabolites on a pentafluorophenyl propyl column enabled high-precision quantification of 113 metabolites. The method was further evaluated for high reproducibility and robustness. Target analytes consisted of primary metabolites and intermediate metabolites for microbial production of high-performance chemicals. 95 metabolites could be detected with high reproducibility of peak area (intraday data: CV<15%), and 53 metabolites could be sensitively determined within a wide dynamic linear range (3–4 orders of magnitude). The developed system was further applied to the metabolomic analysis of various prokaryotic and eukaryotic microorganisms. Differences due to culture media and metabolic phenotypes could be observed when comparing the metabolomes of conventional and non-conventional yeast. Furthermore, almost all Kluyveromyces marxianus metabolites could be detected with moderate reproducibility (CV<40%, among independent extractions), where 41 metabolites were detected with very high reproducibility (CV<15%). In addition, the accuracy was validated via a spike-and-recovery test,and 78 metabolites were detected with analyte recovery in the 80–120% range. Together these results establish ion-pair free metabolic profiling as a comprehensive and precise tool for data-driven bioengineering applications.

Modern activity of the national police in counteracting economic crimes in the basic branches of the economy of Ukraine (agro-industrial complex)

It is emphasized that economic crimes affect all types of economic activity, are reflected in various spheres of society. Not only intentional encroachments on property have increased, but also other crimes related to economic activity: economic abuse, abuse of power by employees of institutions, enterprises, organizations, "bribery", fraud, forgery of documents. The main burden of combating economic crime falls on the National Police, and the priority role in the prevention of economic crime belongs to the criminal police, which includes the Department of Strategic Investigations. The effectiveness of prevention of economic crimes is ensured by high-quality information and analytical activities, the presence of scientifically sound prognostic estimates of high probability. The police should assess the following indicators: the actual level and trends of the criminal busi-ness, both parasitic on the legal economy and that which exists in illegal economic activities; the share of criminal communities in it; comparative intensity of fraud by areas and territories. The objects of preventive activities of the National Police should be: negative phenomena and processes that contribute to the commission of specific economic and tax crimes or facilitate their commission; persons planning or preparing to commit economic crimes; persons in respect of whom the National Police controls their behavior in cases provided by law; persons with persistent illegal behavior and who have previously been prosecuted for economic crimes; persons who are prosecuted for the commission of these crimes, as well as suspects or accused of committing economic crimes, if the criminal proceedings are terminated due to non-rehabilitative circumstances, as well as persons in respect of whom criminal proceedings were refused on the same grounds. The modern concept of combating economic and organized crime should be based on a strictly developed methodology for comprehensive analysis of certain features as a result of criminal analysis of a large amount of data obtained from various sources, including integrated information retrieval systems of the National Police of Ukraine.

Modern prerequisites for the formation of a system of indicators of sustainable development of socio-economic systems

The growth of the world economy that does not meet the requirements of environmental sustainability is accompanied by an increase in anthropogenic pressure on the environment, which leads to an aggravation of environmental problems and increases the likelihood of man-made accidents and catastrophes. In this situation, the direction of scientific research in the field of forming a unified methodology for comprehensive analysis and evaluation of sustainable development, as a simultaneous balanced economic development and environmental conservation, becomes important. The currently used methodological approaches do not always provide a comprehensive assessment of the results achieved in economic development from the perspective of financial and economic indicators, and address social and environmental issues. The solution to this problem is possible by modifying the modern system of indicators of sustainable development of socio-economic systems based on the wider use of the DSR model («Driving forces (previously-pressure) – state-reaction») / DSR («Driving Force – State – Response»). The article presents a conceptual analysis of the system of indicators of sustainable development based on the «driving forces – state – response» model used by the Organization for economic cooperation and development. Economic activity affects (exerts «pressure», uses «driving forces») the environment, the quality and quantity of natural resources («state»); in turn, society and the state changes public consciousness and behavior, conducts environmental measures («reaction»). Possible directions of modernization of this system of indicators are defined. It is concluded that the use of an interconnected system of indicators can improve the effectiveness of public policy due to objective, reliable and comparable information about the environment and sustainable development.

Assessment of innovative development potential of a macroregion within the multilevel clustering model

The object of this research is the potential of innovative development of Volga Region. The subject of this research is assessment of the processes of innovative transformation of economic systems of Volga Region. Special attention is given to the analysis of peculiarities of spatial distribution of the potential for the development of innovative economy in the context of cluster policy. The author examines the dynamics of cluster formation in the Russian Federation and Volga Federal District, as well as the level of institutional development of the clusters formed in the Volga Region. Based on the previous research, the geographical zones of Volga Region are classified by the author into macroregions, districts, and interregional clusters; on each level of the proposed multilevel model can be determined the leading region and lagging regions. For assessing the innovative transformation of economic systems of Volga Region, the author developed the methodology for comprehensive analysis of innovative development potential of the regions. The outcome Index of innovative development potential of the region (IRIDP) is formed on the basis of four subindexes: index of economic potential of innovative development (IEP-1); index of human resource potential of innovative development (IHRP-2); index of financial potential of innovative development (IFP-3); index of scientific and technological potential of innovative development (ISTP-4). In the course of analysis of the processes of clusterization of the economy of Volga Region, the author determined a significant differentiation of economic space from the perspective of institutionalization of clusters. Nonuniformity of distribution of the clusters by regions, as well as differences in the level of their development, are substantiated by the objective economic-geographical prerequisites and by the performance regional authorities within the framework of federal cluster development projects. The formulated conclusions can serve as the foundation for the formation of spatial contours and vectors of a new stage of clusterization of the economy of Volga Region; its implementation of should consider the complementary nature of innovative and cluster activity of the regions.