Large Projects Research Articles

Experience and perceptions of Social Prescribing interventions; a qualitative study with people with long-term conditions, link workers and health care providers

Background Long-term conditions (LTC) are a leading cause of reduced quality of life and early mortality. People with LTC are living longer with increasing economic and social needs. Novel patient centred care pathways are required to support traditional medical management of these patients. Social Prescribing (SP) has gained popularity as a non-medical approach to support patients with LTC and their unmet health needs. The current focus group study aims to explore the experiences and perceptions to SP interventions from the perspective of people with long-term conditions, link workers, healthcare providers and community-based services. Methods Six toeight participants will be recruited into three specific 60 to 90 minute focus groups relative to their role as a patient, link worker and community-based service. 8 to12 participants with a Health care provider and GP background will be interviewed individually online. The participants within these focus groups and semi-structured interviews will be invited to provide opinions on what factors they think are important to the successful implementation of a SP service from their respective stakeholder positions. The data will be recorded and exported to NVivo software for further analysis using Thematic Reflexive analysis methods. Coded categorical data will inform emerging themes from which a narrative summary will be consolidated and presented for dissemination. Conclusion The conclusions made from this study will help inform the next study, which will aim to develop a pilot SP service for patients with long-term musculoskeletal conditions as part of an overall larger project.

A case study on the implementation of location tracking technologies for productivity monitoring: understanding workers’ acceptance and socio-technical implications

Automated real-time data collection is becoming more prevalent in construction, with workers’ location data being a pivotal component in detecting poor logistics and inefficient construction flows. However, the collection of location data for productivity monitoring raises significant concerns about privacy and wellbeing implications for workers. Implementing such technological solutions requires an understanding of how humans may respond to sensor-based automated data collection, making this a socio-technical issue. This study identifies the drivers of construction workers’ acceptance of radio-based location tracking technology for productivity measurement using a modified Technology Acceptance Model (TAM) and offers a sociotechnical understanding of technology acceptance with implications for managing how new technologies are introduced on construction projects. Using a large residential project in Lima, Peru as a case study, construction workers were monitored using Bluetooth Low Energy (BLE) technology, and data were gathered using mixed methods. A k-means clustering analysis showed two forms of acceptance among workers: supporters (37%) and acceptance with reservations (63%). Partial least squares Structural Equation Modelling (PLS-SEM) results showed that perceived usefulness and perceived stress underpinned workers’ attitudes and intention to accept the technology. Perceived privacy risk, however, emerged as the sole most significant predictor at the end of the monitoring process. Findings further suggest that workers’ acceptance of the technology is influenced by the perception that it is also beneficial for safety management. Building on the preceding, the paper highlights the need for employee orientation focused on addressing perceived privacy concerns by leveraging positive perceptions about using monitoring technologies for improving onsite safety, logistics and productivity. This requires management of construction firms to develop narratives that reflect their goals for rolling out technologies in ways that ensure workers’ buy-in, and a re-focus on problem framing and collective approaches to identifying functional and less intrusive forms of monitoring technologies.

Evergene: an interactive webtool for large-scale gene-centric analysis of primary tumours.

The data sharing of large comprehensive cancer research projects, such as The Cancer Genome Atlas (TCGA), has improved the availability of high-quality data to research labs around the world. However, due to the volume and inherent complexity of high-throughput omics data, analysis of this is limited by the capacity for performing data processing through programming languages such as R or Python. Existing webtools lack functionality that supports large-scale analysis; typically, users can only input one gene, or a gene list condensed into a gene set, instead of individual gene-level analysis. Furthermore, analysis results are usually displayed without other sample-level molecular or clinical annotations. To address these gaps in the existing webtools, we have developed Evergene using R and Shiny. Evergene is a user-friendly webtool that utilizes RNA-sequencing data, alongside other sample and clinical annotation, for large-scale gene-centric analysis, including principal component analysis (PCA), survival analysis (SA), and correlation analysis (CA). Moreover, Evergene achieves in-depth analysis of cancer transcriptomic data which can be explored through dimensional reduction methods, relating gene expression with clinical events or other sample information, such as ethnicity, histological classification, and molecular indices. Lastly, users can upload custom data to Evergene for analysis. Evergene webtool is available at https://bshihlab.shinyapps.io/evergene/. The source code and example user input dataset are available at https://github.com/bshihlab/evergene.

Mega-infrastructure development, tourism sustainability and quality of life assessment at world heritage sites: catering to COVID-19 challenges

PurposeMega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.Design/methodology/approachData were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.FindingsThe findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.Research limitations/implicationsThis research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.Practical implicationsThe infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.Originality/valueLarge-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.

Assessment of the demographic potential of municipalities of the Arctic zone of Yakutia

The prospects for the development of Arctic regions are of great interest today for the entire scientific community, in view of the strategic status of these territories. The implementation of large resource projects is impossible without preserving and developing its demographic potential. This article discusses issues related to the state and development of the demographic potential of the Arctic regions of Yakutia. The role of natural growth and migration in the formation of the population of the Arctic regions was revealed. Understanding the reasons for the outflow of the population will allow in the future to form a modern regional policy regarding the spatial development of the Arctic regions of Yakutia. The subject of the study is the demographic potential of the Yan group of districts. Interest in the group of regions under consideration is caused by a historically formed territorial production complex for the extraction of ore minerals (primarily tin and gold), as well as promising plans for the development of new deposits. The creation of energy (PATES) and transport infrastructure (Yana road, Nizhneyansk and Ust7Kuiga ports) allows us to assess the regions of the Yan group as a single promising zone for the growth of the republic’s Arctic economy. Due to the above circumstances, it becomes necessary to assess its demographic potential. The materials for the study were the official data of the territorial body of the Federal State Statistics Service for the Republic of Sakha (Yakutia), presented in annual statistical collections.

Configurational Path to Collaborative Innovation in Large and Complex Construction Projects

Collaborative innovation contributes to sustainable development in many industries. Although there is a growing literature on collaborative innovation, it is still unclear whether and how configurations of drivers affect collaborative innovation in large and complex construction projects (hereafter megaprojects). This research adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore multiple conjunctural causations of collaborative innovation in megaprojects. The findings show that four equifinal solutions can influence collaborative innovation in megaprojects, i.e.: “system innovation-oriented” (configuration 1), “radical innovation-oriented” (configuration 2), “second-tier supplier oriented” (configuration 3), and “modular or architectural innovation-oriented” (configuration 4). This study contributes to explaining the mechanisms regarding how configurations of drivers contribute to collaborative innovation in megaprojects. It also contributes to the development of collaborative innovation research in a construction project context. The research findings provide construction project managers with four useful suggestions for promoting collaborative innovation in megaprojects.

Effective governance of projects: A mainstay of good public investment

Large infrastructure projects (if successful) have a significant effect on societies and can boost long-term economic output, but they are also problematic if they fail. Massive amounts of public money can evaporate in a few projects, and that can destroy the public finances of a small economy. A large public investment project, which usually involves national pride, produces little or nothing of value compared to its investment. At the same time, it prevents the rise of small projects and sucks up resources for a very long time. In an effort to understand how large infrastructure projects are being prepared in Ethiopia, the author has previously conducted an inquiry into the country’s project preparation and decision-making processes. The results of the study indicated many shortcomings: limited or no use of a formal project governance system, a top-down approach, a culture of overlooking project-related risks, exaggerating project benefits, and optimism bias. In this study, the author further examines the previous findings, presents an improvement option for the country’s project governance system, and recommends that, no matter how eager we are to transform the country, there is no need to rush to implement large and complex infrastructure projects with several unclear risks and consequences ahead. Priority should be given to setting up political and technical gatekeeping mechanisms, (go/no go) stages, that can stop wrong projects before conception. Parallelly, such mechanisms enable valuable project concepts to be selected, implemented, and linked with other prime streams of development.

ФАКТОРИ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ УКРАЇНИ

The article examines factors of Ukraine's investment attractiveness and ways of its activation. The modern legislative regulation of the activation of investment activities and the statistical dynamics of investments in the domestic economy are considered. It was noted about the effective legislative incentives of the laws of Ukraine "Regarding risk insurance of investments in Ukraine against war risks" and "On state support of investment projects with significant investments in Ukraine". The main tasks of the legislative decisions of the government during the full-scale military invasion of the occupiers are the activation and support of the innovative environment in Ukraine, the attraction of strategic investors to the domestic economy, and the provision of state support for large investment projects. This especially applies to such branches of the national economy as processing industry, extraction and beneficiation of minerals, transport, logistics, health care, etc. But this support will refer to large investment projects, namely, investment amounts must be equivalent to 12 million euros and the term of implementation of such projects should not exceed 5 years. The most active international companies are noted. Guarantees offered by the domestic government to foreign investors are given. Actual and planned reinvestments since the beginning of the military invasion of Ukraine are given. The international rankings of Ukraine are given. According to the rating compiled on the basis of research by Aswat Damodaran from the Stern School of Business at New York University, Ukraine is among the 20 countries in the world with a high investment risk. The rating was formed with the factors of political risk, economic structure, economic growth prospects, fiscal flexibility, debt burden of the public administration sector, stability of the financial sector, flexibility of monetary policy and gross and net external debt. The areas of activation of investment attractiveness in Ukraine are recommended - in the state and banking systems, and in the sphere of regulation of the market environment.

РАЗВИТИЕ ТЕОРЕТИЧЕСКИХ ОСНОВ УПРАВЛЕНИЯ РИСКАМИ КРУПНЫХ ИНФРАСТРУКТУРНЫХ ГЧП-ПРОЕКТОВ

The purpose of this article is to develop the theoretical foundations of risk management in the implementation of large infrastructure projects with government participation using the example of the development of high-speed railways in Russia. The relevance of this topic is due to the fact that for Russia, high-speed highways are a completely new type of transport infrastructure, the creation of which requires the development of existing views and approaches to risk management of large infrastructure projects with government participation. The impact of high-speed highway projects on a country’s economy is difficult to overestimate, as they affect many factors: from stimulating development to improving the quality of life of the population, which is why studying existing tools and proposing new views on risk management that increase the success of projects with government participation is one of the key issues to be addressed.

Knowledge Management And Its Relationship To Entrepreneurial Orientation An Exploratory Study On The Opinions Of A Sample The University Of Mosul

There are many and diverse forms of leadership, but it aims to strengthen the innovative capacity of knowledge management by increasing its initiative and willingness to adopt risks. To provide outstanding performance, the research community was chosen as a sample of two teachers in one of the university’s colleges by distributing (25) questionnaires to the individuals surveyed at their work sites, which included several questions. According to the study attempt, the statistical program (SPSS) was used to calculate the frequency distribution, percentages, arithmetic mean, and standard deviation. The research reached a number of conclusions, the most prominent of which was that knowledge management has a positive impact on entrepreneurial orientation, as it contributes to increasing the growth of projects to become medium and large projects in the country. the future.

ГРАНТИ ДЛЯ БІЗНЕСУ: ЗАЛЕЖНІСТЬ КРИТЕРІЇВ ПРИЙНЯТНОСТІ ТА УМОВ ОТРИМАННЯ ФІНАНСУВАННЯ ВІД СУМИ ГРАНТУ

The article analyzes a number of grant programs to support micro, small, medium and large businesses in wartime conditions, namely: "eRobota" program, "Own business" direction, EIT Urban Mobility, "eRobota" program for processing enterprises, USAID program for medium and large processing enterprises, USAID program for MSMEs in the grain sector in increasing grain storage and drying capacities, "Developpp" program, the USAID/IBR project program, the USAID program "export-oriented program for the processing of grain, oil and leguminous crops". After analyzing the eligibility criteria in the above programs, which relate to the applicant's business reputation, the following conclusions are drawn: 1. An ideal reputation is important for receiving a grant, regardless of its size - both for small and very large projects. 2. The applicant's contribution is not mandatory in programs with small grant funding and for start-up projects. However, organizations applying for large grants must provide the project with alternative resources in the amount of 30% to 50%. 3. The age of the organization is important for the grantor, especially with large amounts of funding. But for the development of micro-businesses and startup projects, this criterion is less important. 4. Relevant experience in the priority grant program is mandatory, with the exception of cases of financing business opening or startups. 5. The requirements for the presence of partner organizations are ambiguous, but in order to receive large grants it is important to demonstrate connections with other organizations. 6. The availability of audit reports is not mandatory for most funds, but documents on the financial status of the applicant for the last year must be presented. 7. The number of employees does not directly affect the amount of the grant, but when the project is approved, an obligation to employ a certain number of people may be established. 8. In programs with large grant funding, a requirement for a minimum amount of annual turnover may be established, which is a mandatory condition. 9. The presence of a business development strategy is a significant advantage when selecting and making a decision on awarding a grant. It was concluded that the eligibility criteria and conditions for obtaining financing depend on the amount of the grant. The larger the amount of the grant, the higher the requirements of the grantor to potential grantees. At the same time, the business reputation of applicant organizations is equally important for all programs. However, each of them contains a different set of criteria that determine the ideal reputation of a potential grantee.

Optimizing Software-Defined Networks with Fuzzy Logic-Based Enhancement of Openflow Protocol

Today, humans have a strong need to control their devices from a distance so that they can control the world more than before and explore it for various purposes such as how the universe came into being, discovering the way of creation, observing the events in Global situation and so on. Communication with remote devices can be possible in various ways. SDN networks provide a possibility to exchange information between heterogeneous nodes. Considering that in SDN networks, the nodes are very expensive and these nodes themselves are performing many tasks and various vital tasks; Therefore, the cost of each byte of memory occupied on these nodes is very expensive and must be managed in such a way that they have the highest efficiency. Therefore, to solve this problem, it is very necessary and costly to carry out large projects. In the proposed method of this research, by improving the OpenFlow protocol in software-based networks, it is tried to avoid the cooperation of nodes in the directional distribution (not dissemination) of a small data, from the accumulation of extra information in the nodes' memories. Finally, after the simulation, it was observed that the improvement rate of the proposed method has improved by 0.38%, 0.05%, and 0.04%, respectively, compared to RD, FLCFP, and LEACH2013 methods. The improvement rate of the proposed method compared to RD, FLCFP, and LEACH2013 methods was 0.65%, 0.059%, and 0.331%, respectively.

Calculation of the economic and environmental efficiency of introducing advanced technologies in the energy supply of buildings

This article discusses the use of advanced cogeneration technologies at existing combined heat and power plants, regulating the supply of thermal energy in a building using an individual heating point. For Uzbekistan, an urgent problem is the serious study of the use of energysaving technologies, in particular in the heat supply systems, for the efficient use of investments. The achieved effect of reducing specific energy consumption for the production and consumption of thermal energy to the level of world standards will ensure the energy and environmental security of the country, which urgently requires accelerating the implementation of these projects. The search for large and small projects for the technical and technological renewal of production to ensure the competitiveness of products, as well as the means and sources for this should first become the most important task and responsibility of the manager and engineering staff of each heat supply enterprise. The article provides calculations on the basis of which the payback, investment, efficiency of measures in the field of renewable energy sources for electricity and heat supply are determined, as well as the calculation of thermal energy savings when installing an individual heating point.

What Lies Beneath? The Role of Community Engagement in Translating COVID-19 Research Findings to Policy-Makers.

Community engagement is key to developing local and context-specific strategies for the prevention and control of COVID-19. However, expedited research design and approval in the early days of the pandemic may have limited the opportunities for community members to influence pandemic-related research. In this study, we sought to understand how a Community Engagement Group (CEG) could impact a large longitudinal COVID-19 research project (Optimise), when involved solely in the interpretation and knowledge translation phases of the research. Seven community members were recruited for the CEG, representing a diverse range of groups. Each month, Optimise data of topical importance were compiled into a draft report. The CEG discussed the draft report at their monthly meeting and members' contributions were incorporated into the final report for distribution to policy-makers. In this study, a document analysis was undertaken of ten consecutive reports produced between February and November 2021. Each report was compared pre- and post- the inclusion of CEG contributions, which were then analysed using thematic analysis. Community engagement in the interpretation and knowledge translation phases of Optimise had positive impacts on reports for policy-makers, including grounding the empirical findings in broader community perspectives, identifying policy issues affecting different groups and contributing unique insights beyond the empirical findings. Overall, the CEG contributions demonstrated the complexity of lived experience lying beneath the empirical data. Community engagement in the translation of the Optimise findings resulted in research reports to policy-makers that were reflective of a broader range of community perspectives, and that provided potential solutions to emerging policy issues related to COVID-19. This study adds to the evidence base about the impact of community engagement in the later interpretation and knowledge translation phases of research, particularly in the context of reporting to policy-makers during a public health emergency.

Проблемні аспекти та інструментарій забезпечення економічного розвитку територіальних громад

The article updates the issue of identifying problematic aspects, obstacles, as well as prospects and means of revitalizing socioeconomic development at the local level. The aim of the study is to identify problematic aspects, as well as to substantiate the instruments for ensuring the economic development of territorial communities (using the example of the mountainous regions of the Carpathian region of Ukraine). It is proved that the key problems of the socioeconomic development of mountainous areas, which are traditionally more depressed and characterized by a lower level of socioeconomic development, relate to the low level of development of entrepreneurial activity, high levels of unemployment and lack of employment, limited capacity of the domestic market, low incomes of the population, small volumes of investments, and, therefore, a low level of quality of life of the local population. It is concluded that local authorities should implement a more proactive policy directed towards stimulation of entrepreneurial activity, the creation of new economic entities, the attraction of investments in large social and economic projects, the realization and preservation of the intellectual and personnel potential of the local population. Therefore, taking into account the identified problems that have a negative impact on the economy of mountainous territorial communities and limit the potential for its further development, the priority areas of local economic development should include: improving the quality of the community's human and social capital, primarily through the activation of information and educational activities and deepening the level of integration of internally displaced persons into its socioeconomic environment; modernization of engineering, transport and social infrastructure; diversification of directions of development of the local economy on the basis of increasing the level of entrepreneurial activity of community residents and improving the investment climate; increasing the financial and budgetary capacity of the community, primarily thanks to the attraction of new investors, in particular from the number of relocated enterprises, and de-shadowing of a part of local business.

Designing a mini excavator: developing efficient equipment for construction

The aim of this project is to design a mini excavator that has improved maneuverability and compactness, allowing for efficient use in construction and large urban projects. This article presents the main stages of the design process, as well as important aspects that have been taken into account during the development of this machine. Keywords mini-excavator; small-sized machinery; cramped conditions

Береговые природно-хозяйственные системы Печорско-Карского региона в контексте рисков климатических изменений

The Pechoro-Kara region occupies a special place in the Arctic zone of the Russian Federation as the centre of hydrocarbon exploration, which is the main Russian export. At the same time, this is the area with the highest climate risks on the Arctic coast of Russia. The study aims to estimate the value of buildings and structures planned for construction as part of large investment projects in the coastal areas of the Pechora and Kara Seas by the mid-21st century. Regulatory documents, data from official websites and investment portals of various companies and public authorities were examined to create a database of 36 investment projects in the mining and manufacturing industries, transport scheduled to be commissioned in 2017–2050. The authors’ method analyses the time series of indicators of investment in fixed capital and new fixed assets, as well as the structure of fixed assets in the examined industries. Calculations reveal that after the construction phase of each of the projects under consideration, new fixed assets amounting to 8.2 trillion roubles are expected. These include buildings and structures of the mining industry (approximately 6.2 trillion roubles), transport (0.8 trillion roubles), manufacturing industry (0.1 trillion roubles). As an example, the obtained results were compared with the forecast of thermal abrasion and ice-gouging hazards on the coasts of the Pechora and Kara seas. The estimated value of fixed assets that will be located in areas of maximum risk is about 4 trillion roubles (in 2023 prices). This finding confirms the urgent need for early implementation of adaptation protective measures during the construction and operation of infrastructure in order to minimise potential damage.

Multilayer Analysis in Complex Large Infrastructure Projects

The complexity of large infrastructure projects requires the use of methodological methods that can examine how various systems interact rather than just evaluating isolated systems (e.g., either risks or stakeholders). Although the project management literature has invested major efforts into unidimensional networks to study risks or stakeholders separately, there are missing multidimensional analyses that combine complementary perspectives. This study develops a multilayer network analysis by integrating the economic transaction between stakeholders and risks to expose the motives of project underperformances. A large infrastructure education project in Italy is used to demonstrate the application of this technique for identifying potential issues in risk allocation that may result in underperformance among stakeholders. The implementation of the multilayer network demonstrated that stakeholders within the public sector with active participation in the monetary transfers but low-risk exposition tend to perform adequately, which emphasizes the relevance of risk transfer to the contractor. Conversely, lower eigenvector and betweenness values in the multilayer network respecting these metrics in the money flow network expose risk allocation issues affecting the performance of the project.

Data handling of CYGNO experiment using INFN-Cloud solution

The INFN Cloud project was launched at the beginning of 2020, aiming to build a distributed Cloud infrastructure and provide advanced services for the INFN scientific communities. A Platform as a Service (PaaS) was created inside INFN Cloud that allows the experiments to develop and access resources as a Software as a Service (SaaS), and CYGNO is the betatester of this system. The aim of the CYGNO experiment is to realize a large gaseous Time Projection Chamber based on the optical readout of the photons produced in the avalanche multiplication of ionization electrons in a GEM stack. To this extent, CYGNO exploits the progress in commercial scientific Active Pixel Sensors based on Scientific CMOS for Dark Matter search and Solar Neutrino studies. CYGNO, like many other astroparticle experiments, requires a computing model to acquire, store, simulate and analyze data typically far from High Energy Physics (HEP) experiments. Indeed, astroparticle experiments are typically characterized by being less demanding of computing resources with respect to HEP ones but have to deal with unique and unrepeatable data, sometimes collected in extreme conditions, with extensive use of templates and montecarlo, and are often re-calibrated and reconstructed many times for a given data set. Moreover, the varieties and the scale of computing models and requirements are extremely large. In this scenario, the Cloud infrastructure with standardized and optimized services offered to the scientific community could be a useful solution able to match the requirements of many small/medium size experiments. In this work, we will present the CYGNO computing model based on the INFN cloud infrastructure where the experiment software, easily extendible to similar experiments to similar applications on other similar experiments, provides tools as a service to store, archive, analyze, and simulate data.

Макроэкономические тенденции развития Дальнего Востока России в первой половине 2024 г.

Based on operational statistical, analytical and expert information, an analysis of the economic and social situation in the Far Eastern Federal District in the first half of 2024 is carried out in comparison with 2022–2023. It is shown that while instability and contradictory development trends in certain sectors of the economy persist, a sharp decline in the macroeconomic context is not observed. The output index of basic economic activities shows positive dynamics, but the active growth rate has slowed down. This does not currently allow us to talk about a stable phase of economic growth. The formation of growth rates in the industry of the Far Eastern Federal District was positively influenced by an increase in mining production for the main raw materials, an increase in the production of aviation and engineering products, certain types of non-metallic mineral products, and prefabricated wooden building structures. The positive dynamics and growth of investments in fixed assets were associated with the implementation of large investment projects in the field of railway and port infrastructure, mining, and manufacturing. There is a high level of inflation despite tight monetary policy. Consumer demand continues to expand in certain categories due to the growth of real incomes of the population