Level Of Sustainable Development Research Articles

ИНТЕГРАЦИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В СТРАТЕГИЮ УСТОЙЧИВОГО РАЗВИТИЯ ПРОМЫШЛЕННОГО ПРЕДПРИЯТИЯ

One factors of sustainable development is digitalization, which includes digital technologies em-bedded in business processes and models of organizations. This study analyzes the integration of digital tech-nologies into the strategy of a modern enterprise from the point of view of its sustainable development goals. The hypothesis of the study is that the integration of digital technologies contributes to the achieve-ment of sustainable development goals. The methodological basis was the sustainable development of the economy and industrial enterprises, and research considering the digitalization of the economy and the inte-gration of digital technologies. As a result, the concept and essence of sustainable development are re-vealed. The definition of digital production is given. The results show that the emergence of “Industry 5.0” was due to the concept of “Industry 4.0” focusing on technological changes and digitalization of produc-tion, and less on the basic principles of social justice and sustainable development. The new industrializa-tion of the economy is not limited to technological changes in production processes, but increasingly ac-quires an environmental, social, humanistic dimension and focuses the application of new technologies on the sustainable development of the economy, society, and humanity. The practical significance of the work lies in combining approaches to innovative and technological support for the activities of enterprises to achieve a level of sustainable development.

Russian Volga federal district regions’ digitalisation as a factor of their sustainable development

The article presents the author’s methodology for calculating the integral index of the level of sustainable development of Russian regions, taking into account the digital component. The object of the study is the sustainable development of the subjects of the Volga Federal District of Russia. The results of the assessment made it possible to divide the subjects under study into three groups depending on the value of the integral subindex for 2021. These groups include regions of the first group (sustainable development leaders), regions of the second group (regions with moderate sustainable development) and regions of the third group (sustainable development outsiders). Based on the results obtained, conclusions are drawn regarding the level of sustainable development of the subjects of the Volga Federal District of the Russian Federation, taking into account the digital aspect. The proposed methodology can be used for annual monitoring of the sustainability of Russian regions in four areas of development and public administration.

Визначення системи цілей та оцінка рівня сталого розвитку промислових підприємств

Sustainable development is an objective necessity for the effective functioning of society. In the scientific works of both foreign and domestic economists, the discussion on the essence and methods of assessing sustainable development continues. The relevance of the article relies upon the consideration that the study of the problems of sustainable development at the level of industrial enterprises, in particular the development of scientific and methodological recommendations for determining the system of goals and assessing the level of sustainable development of industrial enterprises, is yet insufficiently elaborated. The aim of the article is to improve the theoretical foundations of sustainable development by developing scientific and methodological recommendations, defining a system of goals and assessing the level of sustainable development of industrial enterprises. To achieve this aim, a number of tasks are solved: an analysis of the theoretical foundations of sustainable development is carried out; on the basis of the system method of research, the factors of influence and criteria-indicators of sustainable development of enterprises are determined; according to the conception of management by goals, making use of the program-target method, a system of goals for sustainable development of industrial enterprises is defined; a hierarchy of the goals of sustainable development of enterprise has been built; the global (main) goal and sub-goals of sustainable development of industrial enterprises are formulated; on the basis of graph theory, a tree of goals (graphs) for sustainable development of industrial enterprises has been built; on the basis of the theory of utility, a multi-criteria model of integral assessment of sustainable development of enterprises has been proposed. The global (main) goal of enterprise development is formulated as «Achieving sustainable development of industrial enterprises». The tree of sustainable development goals of enterprises is a graph, the vertices of which are the goals, and the edges (arcs) are the connections between them. Depending on the purpose of the study, as well as the degree of specification of goals, it is possible to build many variants of the tree of goals, which will identify and illustrate various compromise alternatives for achieving goals. A system of criteria-indicators that characterize the achievement of the set goals has been formulated. As a criterion for achieving the goal, it is proposed to use a multi-criteria utility function. For an integral assessment of sustainable development, it is expedient to use the additive utility function, which makes it possible to calculate the integral indicator of sustainable development of enterprise. This, in turn, makes it possible to analyze the dynamics of sustainable development over a number of years, as well as to compare enterprises with each other.

A Fuzzy Multicriteria Model of Sustainable Tourism: Examples From the V4 Countries

The variability of the decision-making problems in the tourism sector is increasing and, thus, it requires studying several dimensions at the same time. Its complexity is also putting pressure on the use of demanding decision-making methods and algorithms that open a field for further investigation. The main goal of this article is to develop a fuzzy multicriteria model for evaluating the level of the image of the destination based on the dependence between costs, the number of days of stay, and the satisfaction of tourists as well as taking into account the levels of sustainable development of the example regions of the V4 countries. The model is verified and adjusted on the real data of 2343 tourists for the period 2017–2021 for the regions of the V4 countries; an approbation example is given on fragments of the data from 126 experts after a trip in 2020 in the three regions: the Žilina region (Slovakia), the Moravian–Silesian Region (the Czech Republic), and the Lesser Poland Voivodeship (Poland). The article results provide a valuable analytical platform for policy-makers, who have, thus, obtained a tool not only to evaluate the image and current sustainability of a region but also to forecast sustainability development.

НЕЧЕТКО-МНОЖЕСТВЕННЫЙ ПОДХОД К ОЦЕНКЕ ТРАНСРЕГИОНАЛЬНОЙ ПРОМЫШЛЕННОЙ КОГЕРЕНТНОСТИ

Within the scope of the research, the model is being developed to assess the economic effect of transregional industrial coherence at the current level of transport infrastructure development. The study constitutes a part of the analytical modeling of the cycle for increasing the level of sustainable development in regions, the enterprises of which are included in the target transregional industrial cluster. The resulting parameter of influence is the real impulse, integrally expressed by intermediate impulse flows, formed by subject-generators and reinforced by subject-catalysts in the environment. The general conceptual basis for modeling is the effect of incrementing the subject connections of the industrial cluster in the content of the array of influence factor vectors of the cluster – transregional industrial coherence, which is determined by the synergy of environmental characteristics and is manifested by the access of system impulses and their generators in such a way that the significance of the impulse for the environment may greatly exceed the significance of the generator; however, the reduction in the weight of generator parameters entails a value equalization of the impulse. This stage of modeling directly shapes the assessment of transregional industrial coherence through the application of the tools and logic of fuzzy-set modeling.

Effects of the BRI on Sustainable Development Evidence from a Panel Difference-In-Differences Method

Abstract The paper calculates the economic system coupling coordination level of the countries along the Belt and Road Initiative (BRI) from 2000 to 2020. On this basis, the paper analyzes the eco-economic effects and mechanisms of the BRI using the difference-in-difference method. The research shows that the “Belt and Road” initiative will significantly improve the eco-economic system coupling coordination level of participating countries. A series of robustness tests, including parallel trend test, placebo test, control of other policy impacts, and replacement of the “Belt and Road” occurrence time, all show that this promoting effect exists. Second, the “Belt and Road” initiative has improved the coupling coordination level of eco-economic systems through trade and investment behavior, but its driving role still needs to be strengthened. The study confirms the global value of the BRI and offers a reference for crafting appropriate policies to enhance the sustainable development level of countries in the BRI.

Multi-scale analysis on sustainability and driving factors based on three-dimensional ecological footprint: A case study of the Yangtze River Delta region, China

Accurate assessment of the sustainable development level is crucial to providing reasonable and effective management recommendations. However, analysis with a single scale can only reflect the sustainable status at a specific level. In this study, a multi-scale analysis of sustainability was conducted via the three-dimensional Ecological Footprint (EF) model in the Yangtze River Delta (YRD). Moreover, driving factors of sustainability were analyzed using the Multi-scale Geographically Weighted Regression model (MGWR). The conclusions include: (1) the development of YRD showed an unsustainable trend from 2014 to 2021, with per capita EF decreasing from 5.769 ha/cap to 5.283 ha/cap. The provincial sustainability is ranked as follows, from being the most sustainable to the least: Anhui Province > Jiangsu Province > Zhejiang Province > Shanghai City. (2) Based on dual indicators of EF depth and size, 41 cities were categorized into nine groups. The dominant type is always Medium size-Low depth (ML) and High size-Low depth (HL) type cities from 2014 to 2021. From the perspective of city scale, the sustainability of five cities weakened, while seven cities showed improvements. (3) Output value of primary industry (OVPI) and population (POP) were always the dominant factors affecting EF, but showed positive and negative correlations respectively. OVPI changes from north-south symmetric type to central symmetric type, while POP changes from central symmetric type to north-south symmetric type. This paper aims to comprehensively assess the sustainable development status from agglomeration-province-city perspectives, and its findings can provide a reference for similar regions with unbalanced development status between ecology and production.

Assessing the urban sustainable development level in the Henan region of the Yellow River Basin based on spatial data

Urban sustainability assessment is fundamental to ensuring the long-term resilience of social, environmental, and economic development. This study proposed a comprehensive evaluation system to assess the sustainable development of the HYRB during 2000–2020 through an integrated sustainable development index (SDI) based on entropy method with spatial data. The major findings of this study were as follows: (1) The SDI of the HYRB increased from 0.438 to 0.489 from 2000 to 2010, while the SDI slightly decreased by 0.026 during 2010–2020. (2) The highest SDIs of 2000 (0.502), 2010 (0.529) and 2020 (0.480) were found in Anyang. Conversely, the lowest SDIs of 2000 (0.390), 2010 (0.459) and 2020 (0.417) were located in Zhengzhou. (3) The SDI variation across regions became more evident in the later study period. This study offers a comprehensive assessment of sustainability levels in the HYRB, providing useful implications for its future sustainable development.

An evaluation method of sustainable development level of agricultural economy under the economic new normal

An evaluation method of sustainable development level of agricultural economy under the economic new normal

Multi index comprehensive evaluation of sustainable development level of agricultural economy under the economic new normal

Multi index comprehensive evaluation of sustainable development level of agricultural economy under the economic new normal

Влияние санкционных ограничений на структуру и динамику экономики Северного Кавказа

Growing geopolitical tensions and sanctions imposed against our country have determined the need for structural changes in the domestic economy. In this regard, the task of ensuring sustainable development of regional economic systems begins to play a special role. The article analyzes the impact of sanctions restrictions on the structure and dynamics of the economy of the North Caucasus Federal District (NCFD) in order to assess the potential and prospects for the development of the region’s economy in the current conditions, as well as to identify possible directions for adjusting regional strategic planning documents. The work focuses on the analysis of the gross regional product (GRP), whose sectoral composition and dynamics characterize the structure and dynamics of the regional economy, as well as the level of regional investment in fixed capital, as an indicator that determines the potential for financing projects for the development of the regional economic system. The study identified the most significant industries for the economy of the North Caucasus Federal District, assessed their current state and made a forecast of their development under sanctions. It is concluded that the current economic dynamics of the North Caucasus Federal District are insufficient to bring the region to the level of sustainable economic development. A study of the region’s financial condition was conducted and its potential for financing economic development projects was assessed. It is shown that the region is subsidized, while the level of debt in the region for both business and the population is constantly growing. Key ways to solve the existing problems of insufficient funding have been outlined. In particular, it was proposed to create a special regional development fund that would finance the most promising projects in priority sectors of the economy, as well as expand the existing practice of public-private partnerships. The forecast for the volume of investments in fixed assets showed their expected growth in the near future (if current trends continue).

Логический подход к построению модели машинного обучения для оценки устойчивого развития горных территорий

Introduction. There are a significant number of mountainous areas on the territory of Russia. The Russian Federation has extensive mountain systems, including the Altai Territory, the Caucasus region, the Ural Mountains, the Sayans, the Baikal region, Kamchatka, Chukotka and others. The exact number of mountainous areas is difficult to determine, since this concept can vary depending on the classification criteria and the boundaries of mountainous regions. This paper proposes an approach to constructing a machine learning model to determine the level of sustainable development of mountain regions. The sustainability of regional development is considered at three levels: environmental, social and economic. To build a model that can assess the level of sustainability of a region, various input data are used, including climatic conditions, geographical characteristics, socio-economic indicators and other variables associated with mountainous regions. After data collection, the most relevant features related to the sustainable development of the region are selected using correlation analysis, feature selection methods or expert knowledge. Next, a model is built based on logical methods of data analysis and processing. The choice of model is due to the fact that logical methods are better at handling small amounts of data and may be less prone to overfitting; they can ignore outliers or noisy data that negatively affect other machine learning methods. Logical methods can also be useful when working with unstructured data, such as texts or images. The work uses logical rules and patterns to extract information and classify data. The work proposes a software package that provides the ability to assess the sustainability of mountain areas based on a database, as well as create and update a knowledge system to improve the accuracy and adaptability of the sustainability assessment process. The goal of the work is to create a model that can help in assessing and predicting the sustainability of mountain areas, as well as in understanding the factors influencing this sustainability. This can help improve the planning and management of mountain regions to achieve more sustainable development and preserve their environmental and socio-economic integrity. Research methods. After data collection, the most relevant features related to the sustainable development of the region are selected using correlation analysis, feature selection methods or expert knowledge. Next, a model is built based on logical methods of data analysis and processing. The choice of model is due to the fact that logical methods are better at handling small amounts of data and may be less prone to overfitting; they can ignore outliers or noisy data that negatively affect other machine learning methods. Research result. A machine learning logic model that demonstrates its effectiveness in identifying and identifying the main factors influencing the sustainable development of a region.

Analyzing the public spaces along the Huangpu River from the aspects of sustainable development

In recent years, the Huangpu River in Shanghai has paid great attention to urban renewal and ecosystem reconstruction. However, with the development of the city, it also faces many challenges such as inappropriate urban planning and environmental pollution. In this paper, after organizing the existing cases of the old wharves and public green spaces along the Huangpu River, an evaluation system is constructed by selecting indicators from the aspects of sustainable development and ecological environment, and urban planning. They are analyzed and compared from the process of planning and renovation of public spaces in various areas along the riverfront on both sides of the Huangpu River, and the current situation and existing problems are summarized. Finally, the study compares Shanghai with similar waterfront cities, highlights and criticizes Shanghai's urban development process, and gives reasonable suggestions on its ecological environment and sustainable development level, so as to provide references for the renewal of urban public space in the future.

THE POTENTIAL FOR ENSURING FOOD SECURITY IN UKRAINE IN THE CONTEXT OF THE ONGOING MILITARY CONFLICT

The subject of the research is the study of Ukraine's food security and the potential for improving it. Methodology. The article uses general scientific and specific methods of economic research: the method of content analysis (when processing scientific sources and reviewing the thematic literature, deduction and induction); abstract and logical method (when identifying problematic aspects of ensuring the country's food security, substantiating conclusions and proposals); the method of statistical calculations of regression economics (when substantiating the economic and mathematical model of food security, calculating the indicator of the actual state of self-sufficiency in food security). The purpose of the study is to assess the level of food security achieved by Ukraine and to identify the main factors that affect the potential for its possible improvement. Conclusion. Ukraine has significant potential to ensure food security at the national and European levels. However, over the past two years, Ukraine has lost its position in the global food security ranking according to the GFSI. The main problematic aspects that led to this are as follows: irrational use of land and labour resources, aging and migration of the rural population; sharp loss of agricultural biodiversity; high level of chemicalisation of agricultural production; loss of the potential for quality reproduction of agricultural land; significant inclusive gaps within rural areas; low level of funding for agricultural science and a predominantly raw material, agrarian orientation. The main reason for the downgrade of Ukraine's GFSI rating in 2022 was the ongoing military operations in the country. Despite the existing problematic aspects, the Ukrainian agricultural sector showed the highest level of sustainable development compared to other types of economic activity. The share of profitable enterprises in the sector was 79%. Ukraine is currently self-sufficient in food security for almost all types of agricultural products. The constructed economic-mathematical model showed a high degree of dependence of food security on such factors as the total value of assets of agricultural formations, the value of fixed assets and the amount of profit. It was determined that the key condition for increasing the potential for ensuring food security in Ukraine, both at the national and European level, should be the social responsibility of agribusiness and raising the level of sustainable development of agriculture and rural areas.

PROVISION OF GLOBAL SUSTAINABLE DEVELOPMENT AS A FACTOR IN THE FORMATION OF LOCAL WELFARE

The subject of the article is the problem of ensuring the welfare of the population in the context of achieving the goals of sustainable development. The authors define the concepts of "sustainable development", "hromadas" (territorial communities), "welfare", and systematise the prerequisites for the formation of welfare at the local level. The paper aims at developing approaches to determining the priority tasks of territorial development in the system of sustainable development goals. It is noted that sustainable development is impossible without achieving a certain level of welfare. To achieve the research goal, the authors analyses and assesses the level of welfare of hromadas, and also considers a set of indicators for assessing welfare based on a combination of "hard" (objective) and "soft" (subjective) factors. The methodology for assessing the welfare of territories (on the example of Ukraine) and studying its impact on the level of sustainable development of the country is applied. The methodology is based on the construction of a non-linear regression model, which demonstrates the high significance of the factors "number of educational institutions" and "number of cultural and sports institutions". The publication also identifies the main reasons that, according to the respondents, impede the development of hromadas in the region under study: poor quality of education; insufficient public initiative and activity of residents; lack of opportunities for self-realisation and meaningful leisure; poor quality (lack of) road surfaces; unemployment; spread of crime, alcoholism, corruption; environmental pollution; drinking water pollution; deterioration of engineering networks; population ageing; lack of investment; lack of entrepreneurship of hromada residents; lack of hromada awareness; unfavourable conditions for business development. The conclusion of the research is that local and regional plans should provide a systematic vision of territorial development and define strategies based on an integrated and multidimensional approach to inclusive and sustainable development. They should be defined, implemented and monitored with the involvement of key territorial stakeholders in the governance process. Based on the analysis, recommendations will be made to identify territorial development priorities in the system of sustainable development goals at local and global levels. In particular, to establish local priorities, existing local and regional programmes should be reviewed to identify the main needs, priorities, gaps and cross-sectoral linkages of the territory and their relationship with the SDGs and national priorities.

Environment Education for Sustainable Development (SD) Among Primary School Teachers

Environment Education is a priority for sustainable development at primary school level in line with UNESCO to produce citizens with sustainable lifestyles. This study aims to identify the level of knowledge, attitude and practice/behaviour among primary school teachers regarding the environmental education for sustainable development. It then also analysed the relationship between the level of knowledge, attitude and practice/behavior of sustainable development. Data were obtained quantitatively through a questionnaire survey where 300 teachers were randomly selected to be involved in this survey. The result showed that the level of knowledge of sustainable development among primary school teachers is high with the mean value of 3.80. The level of attitude sustainable development is also at a high level with the mean at 3.70 meanwhile the level of practice/behavior, sustainable development at moderate level with the mean of 3.25. This study also revealed that there is a strong and significant relationship between the level of knowledge and attitude of sustainable development primary school teachers with r -value at 0.765. There is a weak correlation between the level of teacher’s attitude and their practice/behavior with r -value at 0.455. It clearly showed that higher knowledge influences the attitudes of primary school teachers for sustainable development. At the other point, higher knowledge and attitude is not a guarantee towards positive practice/behavior for sustainable development among primary school teachers. This situation needs improvement and an effective way to produce today's generation that loves their environment and nature. Teachers as an educator became a front liner group for making sure environment education is successful at primary school level.

Economic Strategy for Developing the Oil Industry in Mexico by Incorporating Environmental Factors

This article presents a methodological approach that can more effectively solve environmental problems related to the activities of oil companies. Traditionally, environmental factors have been seen as merely an additional cost that obstructs economic development. The contribution of the authors’ approach lies in the fact that it substantiates the need and the possibility to increase the potential for the functioning and development of the country, for the case of Mexico, while considering environmental factors on a scientific basis. This study proposes a methodology and, therefore, the selection of a strategy for the development of Mexico’s oil industry, ensuring an increase in its environmental and economic efficiency and the sustainability of its territorial functioning and development. The methodology presented in this article develops the concept of sub-potentials, which include the sub-potentials of reproduction, protection, management and development, and reserve. Sub-potentials, particularly the protection sub-potential, integrate environmental components. Neglecting environmental factors leads to an increase in the sub-potentials of the threat and deterrence. Environmental factors are analyzed as a part of a unified strategy for the development of the country, when presenting the formation of a comprehensive system of indicators using management guidelines and a three-dimensional assessment of the criteria for the development of the country’s oil and gas sector. The consequence of using this methodology is the integration of the environmental component of the development in the oil and gas sector into the country’s unified socio-economic strategy. This can effectively solve environmental problems and achieve socio-economic development goals. Consequently, incorporating the environmental aspect based on the proposed methodology permits the effective utilization of society’s limited resources. The application of this systematic approach, encompassing all levels of sustainable strategic development—the oil company, the industry, and the country—also yields additional synergies.

Spatiotemporal Evaluation of Regional Land Use Dynamics and Its Potential Ecosystem Impact under Carbon Neutral Pathways in the Guangdong–Hong Kong–Macao Greater Bay Area

The spatiotemporal distribution of ecosystem service values (ESVs) and ecological risk are critical indicators to represent the regional ecological protection level and potential of sustainable development, which largely depend on land-use patterns. Aiming to contribute to global climate mitigation, China has proposed dual-carbon goals that would remarkably influence the land-use/cover change (LUCC) distribution. Based on the Landsat land cover data of 2000, 2010 and 2020 and multisource satellite products, several driving factors are integrated into the patch-generating land use simulation (PLUS) model to simulate future LUCC patterns for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) under rapid urbanization, cropland protection and carbon neutral (CN) scenarios from 2020 to 2050. Spatial–temporal ecosystem service and ESVs are allocated using INVEST and the equivalent factor method and thus ecological risks are evaluated using the entropy method. Results indicate that forest growth is the largest under the CN scenario, especially in the northwestern and northeastern GBA, exceeding 25,800 km2 in 2050, which results in both the highest habitat quality and carbon storage. The largest ESVs, reaching higher than 5210 yuan/pixel, are found in the CN scenario, particularly expanding toward the suburban area, leading to the lowest ecological risks. From 2020 to 2050, habitat quality, carbon storage and ESVs improve, while ecological risks decline in the CN scenario. This research provides implications for economic and ecological balanced development and gives references to the carbon-neutral pathway for the GBA.

Research on cross-border e-commerce logistics under the sharing economy model

As an important part of cross-border e-commerce, cross-border e-commerce logistics occupies a very important position in cross-border e-commerce, but its development in China is relatively lagging behind that of cross-border e-commerce, and this situation needs to be resolved urgently. The emergence of the sharing economy model provides possible solutions to the problems in cross-border e-commerce logistics. This article analyzes the current development status of cross-border e-commerce logistics in China, defines and analyzes the feasibility of the “sharing economy + cross-border e-commerce logistics” model, and finally proposes the “sharing economy + cross-border e-commerce logistics” model corresponding policy recommendations to better support cross-border e-commerce to achieve a high level of sustainable development.

ESG Sustainable Evaluation of the Silk Road on Ice Based on Entropy Weight TOPSIS Method

As an international economic and trade cooperation project, "Ice Silk Road" is of excellent research significance to the sustainable development construction strategy proposed by China. Based on the ESG sustainable evaluation framework, this paper constructs a sustainable evaluation index system for the "Ice Silk Road" project from three dimensions: society, environment and governance. Then, the entropy weight method and TOPSIS model were used to sort and evaluate the sustainable development performance of relevant countries along the "Ice Silk Road" project from 2013 to 2019, and suggestions were put forward for the research on ESG sustainable development construction of the "Ice Silk Road" project. The results showed that the environmental dimension accounted for a large part of the sustainable development performance from 2013 to 2019, and there were differences in the level of sustainable development infrastructure construction among countries along the "Ice Silk Road" project. Finland, Denmark, Sweden, Japan and the United Kingdom ranked top in comprehensive strength. Denmark, Norway and South Korea have the highest level of sustainable development, while China has the lowest overall score, but China has a large room for improvement in the future from the social and environmental dimensions of development; China needs to strengthen exchanges and cooperation to promote the sustainable development of the "Ice Silk Road" project.