Problem Of Resources Research Articles

Gen Z Workforce and Job-Hopping Intention: A Study among University Students in Malaysia

Recruiting and retaining top talents are crucial for firm competitive advantage. However, job hopping behaviour has become a significant problem for HR practitioners. In Malaysia, job hopping trend among Generation Z has led to a high turnover rate. It causes damages as firms must endure a significant loss in both financial and non-financial costs. This phenomenon is contributed by several factors that spur them to leave their current employment for other job opportunities. This study has twofold objectives namely: to investigate the relationship between motivational factors and job-hopping intention among Gen Z, and to determine which motivational factors that have significant influence on job hopping intention among Gen Z. This research applied a quantitative method via survey. The items of the questionnaire were adopted from past studies that employed similar instruments that links the job-hopping intentions among Gen Z. Validity and reliability tests had been conducted to test the variables. Data was gathered from 369 respondents who are currently enrolled in public and private universities in Malaysia. Inferential analysis was performed to examine the relationship and influence between motivational factors and job-hopping intention among Gen Z. This study found that both intrinsic and extrinsic factors have significant relationships with job hopping intention among Gen Z. Findings reveal that only four factors have significant impacts on job hopping intention among Gen Z; and achievement factor was found to be the most influential factor in predicting job hopping intention among Gen Z. This study provides insight to government, researchers and organization on the issue related to human resource problem and the possible key factors to motivate and retain them from leaving their current employment. This study enables the organization to find suitable solutions to retain the Gen Z professionals that possess excellent skills and experience for a future growth of the company.

Determination of qualified human resources using the ANFIS method

To improve the quality of education is very closely related to the problem of human resources. One of the main key in creating professional human resource lies in the recruitment process, workforce selection and training. Finding a professional and qualified workforce is not easy and a must in an organization or university in screening new employees or lecturers. Therefore we need a system for organizations and universities to be able to get the right people, qualified and placed according to their abilities. This research was conducted using quantitative descriptive research methods and data collection methods in the form of questionnaires and using Adaptive Neuro-Fuzzy Inference System (ANFIS). From the results of testing the data this algorithm shows a data accuracy rate of 77 percent 
 Keywords: HR, ANFIS, questionnaire, quantitative description

The Influencing Effect of Tourism Economy on Green Development Efficiency in the Yangtze River Delta.

In the context of ecological priority and green development strategy, accelerating the upgrading of tourism structure and promoting the development of ecotourism is an important guarantee to achieve green and low-carbon economic growth and high-quality development. On the basis of constructing comprehensive evaluation indicators of tourism development (TD) and green development efficiency (GDE), this study analyzed the impulse response relationship between TD and GDE and the impact effect of TD on GDE in the Yangtze River Delta region from 2000-2018. Findings showed that: (1) During the study period, TD generally exhibited a W-shaped fluctuating upward trend and GDE showed a staggered evolution of upward and downward fluctuations, while both regional gaps of TD and GDE continued to decrease. (2) Most cities had made a leap from low to medium, high, and higher levels of tourism development, with tourism development levels decreasing along the Yangtze River basin to the north and south of the delta. The overall green development efficiency was relatively low, showing a spatial pattern of high value in the southern delta and low value in the northwest delta. (3) There was a one-way Granger causality of TD on GDE, and the impact of TD on GDE showed a significant positive cumulative effect. (4) TD exhibited a significant inverted U-shaped impact on GDE. The economic development level and government intervention had a significant positive impact on GDE. The proportion of secondary industry, energy consumption intensity, and foreign direct investment had a significant negative driving effect on GDE. While the impact of environmental regulation on GDE was insignificant positive. This study has great practical significance to alleviate the problems of urban resources and environment, and to realize a green economy and high-quality life.

Importance of good groundwater governance in economic development: The case of western Iran

Over the previous half century, increased groundwater mining has had significant social and economic implications that are still going on. Many solutions and frameworks have been proposed in the world to overcome these problems. In this study, we attempted to analyze the conditions of Hamedan-Bahar plain in terms of groundwater governance (GG). The groundwater governance indicators were evaluated using the Structural Equation Modeling (PLS-SEM). In general, the status of the groundwater governance (GG) indicators in the region shows that these indicators are all lower than the standard level and are not in good condition. Based on the results, the constructs of policy-making (β = 0.867), information and data (β = 0.866), and stakeholder engagement (β = 0.859) had the greatest effect on the latent variable (i.e., groundwater governance), while the other constructs had a moderate effect. Among the three constructs of water governance, the efficiency construct (β = 0.404) with the indicators of information and data, budget, legislation, and innovative measures had the greatest impact on the governance of groundwater resources in Hamedan-Bahar plain. Finally, the overall goodness of fit (GOF = 0.77) reflects the excellent fit of the model. According to the results obtained, the water system managers and policy makers in the province should increase stakeholders' knowledge and awareness about new frameworks of water resources governance. A robust framework is presented for policy makers and planners to identify the gaps and problems of water resources. Furthermore, various aspects and features should be emphasized simultaneously so as to achieve sustainable governance of groundwater resources.

Spatial and Temporal Evolution and Driving Mechanisms of Water Conservation Amount of Major Ecosystems in Typical Watersheds in Subtropical China

The water conservation function of ecosystems is a research hot spot in the field of water resources, and it is also an important ecological service function of terrestrial ecosystems and a key point in eco-hydrology research. With the increasing frequency of human activities and climate change, how to reveal the response of ecosystem water conservation function to the changing environment is a scientific problem that needs to be urgently addressed in ecological hydrology research. To reveal the eco-hydrological processes under the changing environment, this study was based on the distributed hydrological model (SWAT) and used water conservation amount (WCA) as an indicator to assess the water conservation capacity of ecosystems. Scenario analysis and statistical analysis were also used to determine the spatial and temporal evolution of the WCAs of farmland, forest, and grassland ecosystems under a changing environment and to further investigate the influence mechanisms of land use change and climate change on the WCA. The findings show that (1) the climate conditions in the Hanjiang watershed have determined the distribution pattern of the ecosystem’s WCA. The spatial distribution patterns of the WCA of each ecosystem differed significantly between the dry season and the wet season. Under the combined influence of human activities and climate change, there was no significant change in the spatial distribution pattern of the WCA. (2) Climate change patterns, which were dominated by precipitation and influenced by evapotranspiration, determined the changes in the WCA of ecosystems. In addition, there were significant spatial differences in the response of the watershed WCA under changing environments in the dry season. Differences in land use type and local climate change were the main reasons for such differences. (3) There were differences in the WCA and the response to changing environments among ecosystems. Forest ecosystems had the highest WCA; grassland ecosystems were the most sensitive to land use change. This study can provide a theoretical basis for alleviating the increasingly serious water resource problems in the basin and ensuring water and ecological security in the basin.

Research on Spectrum Prediction Technology Based on B-LTF

With the rapid development of global communication technology, the problem of scarce spectrum resources has become increasingly prominent. In order to alleviate the problem of frequency use, rationally use limited spectrum resources and improve frequency utilization, spectrum prediction technology has emerged. Through the effective prediction of spectrum usage, the number of subsequent spectrum sensing processes can be slowed down, and the accuracy of spectrum decisions can be increased to improve the response speed of the whole cognitive radio technology. The rise of deep learning has brought changes to traditional spectrum predicting algorithms. This paper proposes a spectrum predicting method called Back Propagation-Long short-term memory Time Forecasting (B-LTF) by using Back Propagation-Long Short-term Memory (BP-LSTM) network model. According to the historical spectrum data, the future spectrum trend and the channel state of the future time node are predicted. The purpose of our research is to achieve dynamic spectrum access by improving the accuracy of spectrum prediction and better assisting cognitive radio technology. By comparing with BP, LSTM and Gate Recurrent Unit (GRU) network models, we clarify that the improved model of recurrent time network can deal with time series more effectively. The simulation results show that the proposed model has better prediction performance, and the change in time series length has a significant impact on the prediction accuracy of the deep learning model.

Indigenous Water Resource Conservation Practices in Contemporary Ghanaian Society

This position paper discusses indigenous water resource conservation practices and modern methods to address challenges in Akwamu traditional area in the Eastern region of Ghana. Africa is bedeviled with environmental crisis in this 21st century, and this has been a major concern to environmental conservationists. In Ghana, one of such environmental crisis is pollution of water bodies as a result of indiscriminate human activities. Some have argued that non-recognition of indigenous knowledge in the management of water resources has been one of the major challenges of water resource crisis in Africa and Ghana is no exception. In the life and thought of indigenous people of Ghana, studies confirm that conservation of water resources is enforced through traditional religiously governed norms which have stood the test of time before formal institutions responsible for biodiversity conservation were established by government. Using Akwamu traditional area in Ghana as a case, this study explores how the indigenous people manage water bodies and to find out the possibility of incorporating indigenous knowledge practices and modern methods to address the current water resource problems in Ghana. Primary and secondary sources are employed for data collection. The study is carried out within the concept of ‘worldview’ to understand how indigenous people manage the environment through their indigenous belief systems. The findings are that; indigenous knowledge practices are potential tools for addressing water resource crisis in Ghana. The study also indicates that if indigenous knowledge practices are used alongside with the modern methods in water resource management, our water resource problems would be minimized if not totally solved in Africa.

Наука как человеческий капитал и ресурс

Social philosophy of science views science as a public good in cognitive, political-economic and moral terms, and as a humanistic project. The author attempts to combine the economics of science and the social philosophy of science into a single exchange zone. The article discusses this problem in relation to technoscience with an emphasis on pragmatically oriented resource-efficient issues. The author transfers the experience of economics, management, engineering and industry to the level of philosophical reflections of science and technology. Innovative activity in technoscience can be imagined using Aristotle's universal scheme of underlying causes. Science as a cognitive resource is involved in socio-cultural construction using material and cultural resources. The author poses the problem of resource efficiency, which means a balanced interconnected set of resources of social practices. The installation of resource efficiency in the engineering environment is thought as the basis of material culture. Economists identify five main types of resources – material, financial, labor, temporary, information. Information and communication resources play a key role in the digital society. Analyzing the problems of technoscience as a public good leads to the allocation of cognitive resources and moral resources. Cognitive resources in science are associated with the intellectual potential of teams of researchers, individual scientists and engineers. The author poses the problem of moral resources in the aspect of the ethics of science, the role of responsibility for the formation of ideas and projects, research and their consequences. The problem of material, financial, labor, temporary, information and communication, cognitive and moral resources in the field of science has a socio-philosophical dimension. The article discusses the criteria for effectively engaging the potential of a cognitive resource in science in social practices. The author considers the problem of cognitive resources using examples of cooperation between scientists and representatives of the tradition, the movement of scientific volunteers.

Problems of personnel management and labour resources in the agricultural sector of Ukraine: Ways to ensure the well-being of society

The relevance of the study is conditioned by the fact that despite the variety of issues, the focus of personnel management is on a person who is considered a spe-cial element of the organisation, an entity with a unique resource of widely under-stood capabilities and needs. Their specific location, with proper management, creates the value of the organisation and determines its competitiveness. Age management is defined as an element of human resource management or an ele-ment of management of a wider variety, which consists in the implementation of measures that allow for a more rational use of human resources in agricultural en-terprises, by considering the needs and capabilities of employees of any age. The purpose of the study is to consider the problems of personnel management and labour resources in the agricultural sector of Ukraine in 2000-2020. To achieve this goal, the following methods were used: strategic, holistic, and organisational. Ef-fective personnel management can, among other things, contribute to improving the efficiency of the company, reducing the cost of human resource management, growth and competitiveness, and maintaining a good or improved image. It is very difficult to clearly determine the time at which the ageing process begins. The breakdown by chronological age is not suitable for employees to perform various professional roles. Often, when a person's life lengthens, the period of their effec-tive functioning also increases without those limiting qualities attributed to old age. The changing abilities of a person to perform work are mainly caused by a de-crease in physical performance and fitness, and some psychophysical skills. The task of the personnel and labour resources system is, first of all, to increase the ef-ficiency of the tasks performed by individual employees, to improve the organisa-tion's potential through a detailed definition of training and development needs, to support the personnel decision-making process and the development of personnel policy. The practical significance lies in the productive construction of personnel management and labour resources in the agricultural sector, due to the allocation of relevant problems of the sphere under consideration in Ukraine in 2000-2020.

网络视角下城市物质代谢过程解析——以京津冀13城市为例

PDF HTML阅读 XML下载 导出引用 引用提醒 网络视角下城市物质代谢过程解析——以京津冀13城市为例 DOI: 10.5846/stxb202204221104 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目（2016YFC0503005）；国家自然科学基金项目（41871213） Analysis of urban material metabolism from the perspective of network: A case study of 13 cities in Beijing-Tianjin-Hebei Region Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:城市作为物质吞吐量的集中区，往往存在一定的资源消耗和环境问题。京津冀是中国北方经济规模最大的地区，负载着巨大的资源环境压力。以京津冀地区为例，在计算城市物质输入与输出的基础上，运用生态网络分析方法对代谢系统内部的具体路径和节点关系进行深入探究，并分析其变化。结果表明，京津冀地区97%的流量都集中于各城市内部，各城市之间的优势互补有待加强。2017年京津冀13城市代谢总流量增长为2000年的3.3倍，其中承德、秦皇岛和唐山增长最为迅速，而衡水是唯一一个流量下降的城市。各城市的关键路径中有71.8%呈现流量上升态势，加工制造业为涉及关键路径最多的部门，其中加工制造业-环境为大多数所有城市共有的关键路径。掠夺/控制是京津冀13城市的主导关系类型；2000-2017年间13城市总体的生态关系良性转变少于劣性转变，致使共生关系数量下降，需要从交通运输业、采掘业和加工制造业等重点部门上寻求突破。关键路径及生态关系等代谢网络特征及其变化的识别，有效打破了城市代谢的"黑箱"，为缓解不同城市物质利用所带来的资源环境问题提供可靠理论依据。 Abstract:As a concentrated area of material throughput, cities are often faced with some problems of resource and environment. The Beijing-Tianjin-Hebei region has the largest economic scale in northern China, so it is bound to be burdened with huge pressure on resources and environment. From the perspective of metabolism and based on the calculation of urban material input and output, this study selected the Beijing-Tianjin-Hebei region as an example, used the ecological network analysis method to deeply explore the specific path and node relationships within the metabolic system, and analyzed the changes from time. The results showed that 97% of the flow amount was within the cities, indicating the need for cities to strengthen their complementarity. The total metabolic flow of 13 cities in the Beijing-Tianjin-Hebei region increased by 3.3 times that of 2000 in 2017, with Chengde, Qinhuangdao and Tangshan growing the most rapidly, while Hengshui was the only city with a decrease. Among the key paths of each city, 71.8% showed an upward trend of flow, and a high degree of sectoral concentration. Manufacturing became one sector most involved in the key paths, and manufacturing-environment was the key path type that existed in most cities. The exploitation and control were the dominant relationship type in the 13 cities. From 2000 to 2017, the positive change of ecological relationship was less than the negative change, which may require breakthroughs in key sectors such as transportation, mining and manufacturing. The identification of metabolic characteristics and their changes, such as key path and ecological relationship, effectively opened the "black box" of urban metabolism, and reliable theoretical basis for alleviating the resource and environment problems caused by urban material utilization. 参考文献 相似文献 引证文献

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

Due to the technical characteristics and application scenarios of distributed networks, their nodes can easily be invaded and compromised. It will result in information being forged or tampered without difficulty. An effective scheme to guarantee the authenticity and integrity of information is judging how trustworthy nodes are in terms of transmission. In D-S evidence theory (DST), the uncertainty can be expressed to solve the trust fusion issue for multiple nodes. In this paper, for reviewing the DST-based trust evaluation and decision and providing their future research directions systematically. Meanwhile, the DST is briefly reviewed, and two improvements in DST are categorically described. The role and mechanism in DST-based trust models are compared and analyzed. The valuable research directions in the near future are represented. Our contributions could solve the trust problem in resource constrained sensor nodes and improve the decision reliability of network.

Study on the Spatial-Temporal Evolution of Land Use and Its Thermal Environmental Effects in Chengdu

With the accelerating urbanization process, the urban land use structure has changed, and urban environmental and resource problems have become increasingly prominent. Among them, the urban heat island effect has seriously affected the sustainable development of society. Therefore, from the perspective of mitigating the urban heat island effect, this study uses two phases of remote sensing images of Chengdu in 2002 and 2019 as the main data. Using the methods of supervised land use classification and surface temperature inversion, the spatial and temporal changes and characteristics of land use and surface temperature in the central urban area of Chengdu are analyzed. The effects of different land use types on the surface temperature are also explored to investigate their thermal environmental effects. The main research results are as follows: (1) the area of construction land in the central urban area of Chengdu increased greatly from 2002-2019, and the proportion changed from 12.4% to 41.2%; the area of cultivated land and forest land decreased significantly. (2) The high-temperature area was mainly concentrated in the central region from 2002 to 2019, and the area was increasingly expanded; the low-temperature area shifted from the original northwest region to the eastern and southern regions. (3) Land use change was significantly correlated with the thermal environment. Surface temperature was negatively correlated with NDBI and positively correlated with NDBI.

Application feasibility of the novel SWAM Water-Cycle and Allocation Model in the Guangdong-Hong Kong-Macao Greater Bay Area

At present, there are still problems, such as uneven regional distribution and low per capita ownership of water resources in the Pearl River Delta, so solving the problem of water resource allocation is still a hot spot that needs continuous attention in the region today. For a long time, many experts and scholars have proposed models such as WEAP (Water Resources Assessment and Planning) and SWAT (Soil and Water Assessment Tool). Based on the advantages and disadvantages of the current situation of water resource allocation in China, this paper explores and analyzes the applicability of the newly proposed SWAM (SWAM Water-Cycle and Allocation Model) configuration model, compares the previously proposed model, and finally draws conclusions. In this work, the author analyzes the adaptability of SWAM model in the Pearl River Delta region from various aspects and concludes that the SWAM model can effectively alleviate the problems of water resources in the Pearl River Delta region.

Современные малые государства: подходы к операционализации, классификации и уровни комплексного анализа

The relevance of the topic is attributed to the diversity of sovereign polities due to the relatively recent increase in the number of states, many of which possess an objectively small size, and changing role of small states that occupied a peripheral position within the bipolar system of international relations, and now are receiving more opportunities in a globalizing world that help them solve the problem of limited resources in world politics. At the same time, the category of small states is not unanimously agreed upon, despite its frequent use in public and scientific discourse by researchers. The aim of this article is to systematize approaches to the conceptualization and operationalization of small states based on absolute, relative, quantitative and qualitative criteria and to analyze their applicability at various levels from global to dyadic ones. The article also seeks to establish the number of small states based on the index of the size of the state developed by the Russian researcher A. V. Travish, taking into account the ratio between states in terms of their population, territory and GDP. Although this approach does not allow delineating the boundaries of qualitatively different subcategories of small states due to their large number, the author concludes that the selection of cases for thicker research should begin with a primary quantitative analysis. Finally, an attempt has been made to classify small states based on geographical and analytical criteria, taking into account the aforementioned index of the size of the state.

INVESTIGATIONS ON STRESS-DEPENDENT THERMAL CONDUCTIVITY OF FRACTURED ROCK BY FRACTAL THEORY

Stress field is a key external factor affecting the thermodynamic properties of rock in many scientific and engineering fields ranging from geoscience to practical problems in geothermal resources, oil and gas exploitation, mineral exploitation, etc. In this work, the stress-dependent models for the effective thermal conductivity of fractured rock are proposed by combining the fractal geometry theory and the two-part Hooke’s model. The proposed model for the effective thermal conductivity is a function of the effective stress and structure-parameters and physical parameters of fractured rock, such as porosity ([Formula: see text], fracture orientations ([Formula: see text] and [Formula: see text] as well as [Formula: see text] and [Formula: see text]. The results show that thermal conductivity increases nonlinearly with increasing stress at low stress range due to the closure of fractures, then, it exhibits an almost linear behavior of pressure dependence at high stress range for most fractures closing completely. The proposed thermal conductivity model coupled with stress is evaluated by comparison with the available experimental data. The model predictions show a good agreement with the available experimental data. A more detailed investigation of the essential influence of structures parameters of a set of fractures on the dimensionless stress-dependent thermal conductivity is performed. The proposed model may provide a good quantitative understanding of the stress effect on thermal conductivity of fractured rock.

МЕТОД ВИМІРЮВАННЯ ВІДСТАНІ У БЕЗДРОТОВИХ СЕНСОРНИХ МЕРЕЖАХ МІКРОПРОЦЕСОРНИМ ЧАСТОТОМІРОМ

Background. Currently, there is a problem of limited resources of individual nodes of sensor networks, to solve many problems (including positioning), there is a need to develop methods for joint work of all nodes of the network. One of such tasks is the task of localization of nodes of the sensor network with self-organization. It consists in determining the coordinates of individual sensors without the use of external infrastructure. The problem of localization has been extensively studied in the past, as information on the location of objects or people is important in many applications, and a large number of systems have been developed to address them. The most famous of these is the Global Positioning System (GPS). However, the GPS approach cannot be applied to WSN due to its requirements for a large number of additional infrastructures (e.g. satellites). Methods. In this paper methods of complex systems analysis and synthesis as well as computer simulation are used. Results. In this study, it is proposed to use the method of measuring the distance between objects, based on the time of arrival of the signal. The estimation of error of measurement of frequency, at measurement of high and low frequencies is given. It is determined that in the study of periodic processes in a wide range of frequencies to achieve a given accuracy, it is advisable to use a digital frequency meter in the high frequency range, and in the low frequency range to move to period measurement. Research has been conducted and graphs of quantization errors in frequency and period measurement have been constructed. An algorithm of microprocessor frequency meter operation is built, which allows studying periodic processes in a wide range. The block diagram of the microprocessor frequency meter is offered, which allows implementing the given algorithm. Сonclusions. Implementation of the designed microprocessor frequency meter allows one substantially increase efficiency of wireless censor networks due to more precise measurements of the network elements positions.

Adaptive Tracking Event-Triggered Control of Quarter-Car Bioinspiration Active Suspension Systems

In this article, an adaptive tracking control method for the bionic active suspension system with the event-triggered mechanism is proposed. In order to achieve the ideal control objectives, a nonlinear suspension system structure is proposed based on the biological inspiration. In the existing research, the suspension system tracking control methods are only aimed at a single part of the mass, respectively. But this article adopts a novel tracking method for the vertical displacement difference, which can track the ideal reference model more accurately. For the sake of alleviating the problem of limited resources in the process of vehicle communication, a control method combined with the events triggering of the relative threshold is proposed. The design of the controller makes the vertical displacement and vertical moving speed of the bionic suspension system close to zero. It can effectively improve the communication efficiency between the actuator and the controller. In the design of this system, all the signals involved are bounded. The Zeno behavior is successfully avoided among the event-triggered control mechanism. Finally, the feasibility and rationality of this method are verified by the simulation analysis of the bionic suspension system.

The historiography of the demography of Pavlodar priirtyshye

The article provides a historiographic analysis of the demographic development of the population of Pavlodar region. As a result of comprehensive research in the context of a particular region, the influence of events of national history on the socio-demographic development were studied, which made it possible to identify the consequences of historical events in more depth. Classification, differentiation and analysis of regional features provides an opportunity to determine the impact on the demographic development of the population, serves as a basis for scientific hypothesis in determining the causes of socio-demographic problems. In the pre-revolutionary period, studies concerning the population of the Pavlodar region consisted mainly of statistical data provided by officials of the tsarist government and travelers. There are almost no special historical demographic studies. Pre-revolutionary studies consisted of statistical data provided by officials of the tsarist government and travelers. Most of the works written in Soviet times are characterized by an analysis of the quantitative and qualitative composition of the population, problem of labour resources. Works during the years of Independence focus on an analysis of the colonial policy of the Tsarist government, the consequences of Soviet policy, the specifics and causes of socio-demographic development of regions.

ГЕОПРОСТОРОВИЙ АНАЛІЗ УРБОЛАНДШАФТІВ МІСТА ПОЛТАВИ

Research on urbanization processes and the development of urban landscapes is extremely relevant in the context of political, economic, and socio-cultural reforms that are taking place in modern-day Ukraine. Based on historical patterns, it should be noted that cities have always been at the forefront of social transformation, and urbanization processes reflect profound structural shifts in the economic and social spheres of society. This can be clearly seen in the study of the peculiarities of the formation and development of urban landscapes in Poltava. The complexity, problematic nature, and comprehensiveness of studying modern urban landscapes lie in the fact that the urban space is a territorial complex that includes transportation, recreational, technogenic, anthropogenic, water management, sacred, agricultural landscapes, objects of multi-level residential development, and more. The study of urban landscapes in Poltava will have practical significance for understanding the problems of city development, its economic, social, planning, resource, and infrastructure base. The study highlights the main issues related to the essence of urban landscapes, analyzes contemporary research in the field of general and anthropogenic landscape science, as well as geourbanistics, and indicates its distinction from urban-rural landscapes. The article defines the criteria for distinguishing urban landscapes and proposes its own typology. The physical-geographical and socio-geographical factors influencing the formation of urban landscapes in Poltava are characterized. The classification of urban landscapes in Poltava is carried out using GIS and remote sensing methods, with the use of QGIS software and the dzetsaka plugin. The following types are distinguished: multi-story industrial, low-rise rural with insignificant vegetation cover, low-rise rural with predominant vegetation cover, garden-park with agrolandscapes and aqua-landscapes. Based on the obtained data, the urban landscape zoning of Poltava is carried out, where the following are identified: multi-story industrial and low-rise rural with garden-park and agrolandscapes, multi-story industrial and low-rise rural with insignificant vegetation cover, low-rise rural with insignificant vegetation cover and multi-story rural with garden-park and aqua-landscapes. It is noted that further research on urban landscapes of the city should be conducted using satellite imagery with higher spatial resolution.

МЕЖДУНАРОДНЫЙ БИЗНЕС КАК СУБЪЕКТ «ЗЕЛЕНОЙ» ЭКОНОМИКИ

Now humanity is fully aware of the environmental problem, which is associated, among other things, with the anthropogenic effect. In this regard, it became necessary to transform radically all spheres of life in order to ensure sustainable development. This trend also affects the economic model of the development of the world. Environmental pollution actualized the problems of limited natural resources and led to an awareness of the limits of growth. The relevance of this research is associated with the special role of environmental and economic factors in the modern world, which influenced the formation and further popularization of the «green» economy phenomenon. This problem acquires particular urgency and relevance in connection with the expansion of the «green» economy concept, as well as players in the field of sustainable development. Thus, international companies have become a new active actor on the «green» agenda, which are actively implementing and creating new forms and tools of «green» growth themselves.