Patterns Of Economic Development Research Articles

Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt

Ecosystems supply goods and services to humans and are the basis for sustainable development of human society. The study of the supply of ecosystem services and the demand and consumption of ecosystem services by human society, and the analysis of the supply and demand characteristics and flow relationships of ecosystem service flows are of great significance for the management of regional ecosystems and the development of ecological compensation. Taking the Yangtze River Economic Belt as an example, this paper calculates the supply and demand indices of ecosystem services in 2015 and 2020, and determines the ecosystem spatial flow paths and flow volumes from the ecosystem supply area to the demand area based on various methods and models such as the minimum cumulative resistance (MCR) model and distance decay model. The results indicate that 1). In 2015 and 2020, the supply and demand of ecosystem services in the Yangtze River Economic Zone show an increasing trend numerically, and there is spatial heterogeneity in the spatial distribution. In terms of ecosystem service supply per unit area, the midstream region is higher than the upstream and downstream regions. In terms of the demand for ecosystem services per unit area, the downstream is higher than the midstream and upstream. 2). From the supply-demand balance of ecosystem services in the Yangtze River Economic Zone, the midstream region is mainly the area of surplus supply of ecosystem services, and the downstream region is mainly the area of deficit supply. From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). The flow of ecosystem services in the Yangtze River Economic Belt shows an increasing trend, from 726.59 billion yuan in 2015 to 1,450.54 billion yuan in 2020, with Jiangxi Province being the main ecosystem service supply area and Zhejiang Province being the main ecosystem service demand area in the Yangtze River Economic Belt.

How water circularity can help to reduce and regulate water waste in urban districts

Abstract Global water consumption has increased sixfold in the past 100 years and is growing at about 1% per year due to population growth, economic development, and changing consumption patterns; therefore, climate change, combined with urbanization and population growth, is causing water availability problems in cities around the world. Rethinking circular cities that put water at the centre of their priorities and that manage it cyclically and keep it within the urban environment as much as possible to maximize its value must become the fundamental goal. However, to date, cities are not even close to maximizing the use of water that reaches their buildings. As a result, two main issues have emerged as crucial in the international debate: the scarcity of water resources due to its wastefulness and overuse, and extreme weather events, such as heavy rains alternating with periods of prolonged drought, a consequence of global warming. In response to these issues, this research aims to investigate the potential of a design approach that takes into account the two phenomena of water excess and shortage, integrating water from the earliest decision-making stages of building design. Starting from the definition of architectural strategies, replicable solutions are defined and evaluated against specific KPIs to develop a resilient and climate-neutral architectural and urban design model.

Spatial pattern and coupling characteristics analysis of maritime traffic and economic development based on shipping big data

The rapid development of maritime transport and the gradual increase in the number of ports, ships and shipping routes can produce direct economic benefits for regional development, and a profound grasp of the actual situation of maritime transport makes it possible to make practical plans for economic development and thus rationally develop and use marine resources. However, there is a lack of research on maritime transport, so this study is based on the AIS, waterways, routes and ports data in the near-shore sea area of Guangdong Province. Using GIS spatial analysis technology and various mathematical models, we refer to the evaluation method of road traffic dominance. It analyses and proposes the evaluation indexes of maritime traffic advantages, such as the density of maritime traffic network and the proximity of ports. Based on the actual situation of the study regions, the indicators were quantitatively evaluated and analyzed. The economic development level of each region was also quantitatively evaluated using principal component analysis, and the study regions were classified based on the coupling-coordination model. The results show that the coastal area of Guangdong Province is divided into four types of zones according to the coupling-coordination type of zoning criteria. Corresponding development suggestions are put forward for different zones, and the research results provide certain practical guidelines for promoting the benign cycle development of maritime traffic and economy, and have important guiding significance and application value for the organization and safety of maritime traffic.

High-quality marine economic development in China from the perspective of green total factor productivity growth: dynamic changes and improvement strategies

High-quality marine economic development (HMED) is regarded as a new development pattern of the marine economy in China. This paper aims to examine the dynamic changes and improvement strategies of HMED from the perspective of the green total factor productivity (GTFP) growth. First, the GTFP growth of the marine economy in China’s coastal regions for the period 2007–2020 is calculated using the bootstrapped Malmquist index. Second, the dynamic changes and spatial impacts of the GTFP growth are characterized using kernel density estimation (KDE). Moreover, a novel analytical framework to study the improvement strategies of the GTFP is developed. Within this framework, the fuzzy set qualitative comparative analysis (fsQCA) method is used to explore the paths to achieve HMED. The findings show that: (i) the GTFP growth for coastal regions shows significant fluctuations, suggesting that a stable pattern of marine economic development has yet to be established; (ii) the regional distribution of GTFP growth varies significantly, with provinces with fast GTFP growth gathering resources from neighboring provinces, resulting in a siphon effect; (iii) for coastal provinces that lack certain development conditions, the combined effect of other advantageous factors can be used to achieve HMED. Finally, this study presents policy recommendations for achieving HMED, which can provide insights into the design of China’s future marine economic policies.

'Successfully' Aging 'Alone'?: Unequal Global Opportunities and Rising Risks in Family-Based Models of Care Cross-Nationally.

For the first time in human history, older adults will outnumber children and a substantial and growing proportion will live alone and lack one or more nuclear family tie. Such unprecedented shifts require a reevaluation of existing models of "successful aging", particularly in terms of long-term care policies. This paper draws on country-level data from multiple publicly available sources (e.g., World Bank, Organization for Economic Cooperation and Development, Our World in Data, and the World Values Survey) to examine cross-national patterns of development, health, demography, resources and policies, and cultural values in low-, middle-, and high-income countries. Although there exists substantial heterogeneity across countries, country-level patterns illustrate the economic privilege of living alone and the dominance of "successful aging" opportunities in high income countries. Cultural values about family reflect standard patterns of economic development, yet friendship emerges as a particularly consistent global value. At the country-level, living alone and health are associated in higher income countries with lower within-country inequality. Aging "alone" is a risk factor in some contexts, yet a marker of privilege in others. Models of "successful aging" are largely unobtainable in lower income countries or high inequality countries, and therefore require a thorough incorporation of global realities, or final abandonment in favor of more nuanced structural perspectives. Long-term care policies that assume the presence of family will yield increasing risk over time across all global contexts and represent a key vulnerability in the future of healthy aging policy.

Sectoral Composition of Outward FDI and its Impact on Export Diversification in Saudi Arabia

This research explores the relationship between outward foreign direct investment (FDI) and export diversification in emerging economies, with a focus on the case study of Saudi Arabia. Utilizing a multi-equation model and vector autoregression analysis, the study investigates various factors such as the level and sectoral composition of outward FDI, income levels, institutional factors, and regional trade agreements. The findings suggest that while outward FDI can influence export diversification, its impact varies based on factors such as the sectoral distribution of investments, income levels, and institutional quality. Additionally, cointegration and vector error correction models reveal long-term relationships among key variables, highlighting the complex interplay between economic development, governance, and investment patterns. Impulse response analysis sheds light on the dynamic nature of shocks and their effects on the economy over time, emphasizing the interconnectedness of variables. Variance decomposition analysis further elucidates the significance of shocks in explaining fluctuations in model variables, underscoring the systemic interdependencies at play. Overall, the study provides valuable insights into the mechanisms through which outward FDI influences export diversification and economic development in emerging economies like Saudi Arabia and institutional reforms are essential; strengthening institutions and improving regulatory frameworks can amplify the positive effects of outward FDI on export diversification.

Assessment of rural livelihoods, health and wellbeing in Vhembe District Municipality, South Africa and Narok County, Kenya: A water-energy-food nexus perspective

The Water-Energy-Food (WEF) nexus has become an integral component duly suited to enable sustainable development and an important tool to achieve and sustain various socioeconomic and environmental outcomes, including the 2030 Agenda for Sustainable Development Goals. The WEF nexus has become increasingly important in recent years as it can holistically address humankind's current triple challenges, including resource depletion, environmental degradation, and population growth. Socioeconomic factors such as increased population, economic development, and climate change patterns frequently induce unprecedented pressure on WEF resources. From the various climate change model simulations, the climate is likely to increase in the future, exacerbating the demand of the population to access the WEF resources and services. For effective resource planning and decision-making, the availability of WEF resources must be assessed under ongoing climate change. In this regard, this study assessed rural livelihoods, health, and wellbeing indicators within the WEF nexus framework in Vhembe District Municipality (VDM), South Africa, and Narok County, Kenya. The premise was to determine the drivers of livelihood changes by applying the analytic hierarchy process (AHP), a Multi-Criteria Decision-Making to understand the causal linkages between the WEF nexus resources and the sustainable livelihood indicators. Data collected from the literature review, questionnaire/group discussions, and field visit engagements were used to formulate and develop a matrix of indicators to assess livelihoods, health, and wellbeing. A correlation analysis based on the AHP was used to determine the linkages between WEF resources and sustainable livelihood indicators. The multivariate analysis used the correlation matrix to capture the pairwise degrees of relationship between WEF resources and sustainable livelihood indicators in the two study areas. The results show that the resources for sustainable livelihoods in VDM are more sustainable than those in Narok County. The Consistency Ratio values for Narok County and VDM were 0.046 and 0.067, respectively. The resulting composite index (0.143) classified both study sites under the lowly sustainable category. The results are important for informing policy formulation that guides timely interventions to balance socio-ecological systems.

Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development

Studying the carbon effect of land use in watersheds is important for mitigating global warming, promoting coordinated emission reduction in different regions within the watersheds, and realizing high-quality development of the watersheds. Although a number of scholars have carried out relevant studies in the past, they mainly focused on carbon emissions, rarely involved the carbon balance formed by carbon sources and sinks, and lacked relevant studies on the development of low-carbon economy sub-region. Based on this, this study takes the Yellow River Basin as an example, explores the spatial and temporal evolution of carbon emissions from land use in counties in the Yellow River Basin from 1980 to 2020, and predicts the spatial pattern of carbon income and expenditure from land use under natural conditions in 2030 and 2060 using the PLUS model; and then superimposes on the main functional area planning, divides 735 counties in the Yellow River Basin into six low-carbon economic development subregions, and analyzes their economic development The model of their economic development is analyzed. The results show that: (1) the spatial and temporal differentiation of land use carbon balance in the Yellow River Basin has changed greatly over the past 40 years, (2) the spatial distribution pattern of land use carbon balance in the natural context in 2030 and 2060 is more similar to that in 1990, (3) the carbon emission reduction potentials and pattern optimization of the different low-carbon economic development subregions differ greatly, and they have different low-carbon economic development patterns. The results of this study provide a theoretical basis for scientifically and rationally formulating economic policies for low-carbon development in the counties of the Yellow River Basin, and also provide an important reference for related studies in other similar basins or regions in the world.

Economic Development Pattern and Trade Imbalance: Comparing the U.S. with East Asia

With the development of trade globalization, East Asian countries have occupied an important position in global trade. The rise of the East Asian economy has led to a long-term trade deficit between the United States and East Asian countries, causing economic imbalance. Focusing on the economic development patterns of the United States and East Asian countries, this paper proposes a research question: How does the difference in economic development between the U.S. and East Asian countries lead to trade imbalance? This article uses comparative advantage and absolute advantage theory, Keynesian political economy, global savings glut hypothesis and the flying-geese model to provide theoretical support for the research, and then uses data from the World Bank and Bureau of Economic Analysis to further demonstrate. The last part of this paper makes an empirical analysis through case analysis and model tests. This study argues that differences in economic development lead to an international division of labor and a savings-investment gap, which in turn lead to trade imbalances.

A SYSTEMATIC LITERATURE REVIEW OF SOLID WASTE MANAGEMENT POLICY IMPLEMENTATION IN SOUTHEAST ASIA

Rapid urbanisation, population growth, economic development, and changing consumption patterns have increased waste generation worldwide. In many urban areas of Southeast Asia, waste is the most visible environmental issue, as waste generation has increased rapidly over the last decade. Effective implementation ensures that the outcomes correspond to policy goals. Most Southeast Asian countries have policies and regulations on solid waste management (SWM). However, the policies lack efficient implementation processes and enforcement. (1) political systems influence SWM effectiveness, (2) adequate resources, (3) appropriate technology, and (4) public awareness and participation. Even though many studies have been conducted on SWM implementation, very few focused on the Southeast Asian region. A systematic literature review of research articles retrieved from the Web of Science and Scopus databases was conducted. This study analysed 17 articles from 598 articles initially retrieved to answer the research questions. The analysisfound that multiple stakeholders participated in the SWM system, and a set of challenges revealed the leading causes of policy failure. The analyses served as guidelines to plan for the effective implementation of SWM policies.

The degree of economic development pattern of economy

In this article, we explore the concept and measurement of the degree of economic development pattern (DEDP) of economy, which refers to the extent to which the development of an economy can serve as a reference for other economies. Utilizing 76 macroeconomic indicators across 217 economies, the economic development paths in a standardized space of economy is compared to identify variations in DEDP through the regression analysis on the relationship between the similarity of development paths and the growth rate on gross domestic product (GDP) per capita. To measure DEDP of economy from different perspective, two types of metrics are constructed. One is the determination coefficient of regression analysis, which exhibits significant positive correlations with population size of economy, uncovering differences of development paths among economies of varying population sizes. The other type of metrics is based on the consistency on regression coefficients and effectively explains disparities among economies in the growth rate on GDP per capita, economic complexity index and economic fitness. These findings reveal the differences in development paths among different countries from the perspective of referentiality for development patterns, suggesting the potential existence of the paths with more universal meaning to economic development.

Changes in Economic Network Patterns and Influencing Factors in the Urban Agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area: A Comprehensive Study

The aim of this study is to comprehensively evaluate the economic network patterns and their influencing factors of the Guangdong–Hong Kong–Macao Greater Bay Area (GHMGBA) in China, considering population scale, economic development level, and land-resource endowment. By employing a modified gravity model and a social-network method, we quantitatively analyzed urban agglomeration integrity indices, such as network density, edge–core structure, cohesive-subgroup index, and urban individual index (e.g., centrality degree) of this region, encompassing nine cities in Guangdong Province and two special administrative regions. The results revealed significant changes in the economic network patterns within the GHMGBA over time. Furthermore, the quadratic assignment procedure correlation analysis index was used to identify the various factors affecting the strength of the economic interaction. The findings demonstrated an annual increase in the strength of economic interaction between cities and regions within the GHMGBA over the past 20 years, along with the emergence of a polycentric economic development pattern. The results also suggest that the spatial location and level of economic development are key determinants influencing the strength of economic linkages in this area. This study supports the conclusion that deepening exchanges and cooperation among core cities, bolstering economic development in sub-core cities, and facilitating the construction of an integrated regional transportation network will expedite the process of economic integration.

Community forest, environment conservation and rural livelihood

The study analyses the economic benefit to rural people derived from the community forest and the role of community forest in the livelihood of the rural people. For this purpose, Khajure Community Forest of Dang district was selected. This article analyses interactions among economic development, the environment, and natural resource use pattern. Community forestry promotes sustainable management of forests by the local community for their collective benefits and promotes equal rights regardless of caste, ethnicity and gender. Community Forest Users’ Group highly depend on CF for their basic households needs such as fuel wood, grass, fodder and timber. Community participation in managing forest has contributed to forest conservation, scientific utilization of forest products and social inclusion which ultimately fosters community ownership in management and use of natural resources. But there are problems in CF governance and benefit sharing. The main issues of community forest are elite dominance in decision-making, social exclusion, and unequal benefit sharing. Rural people go through the exploitation of forest resource haphazardly for their survival. Exploitation of natural resources, including forest resource, contribute to global environmental problems and climate change. Electric cook stoves could be a good, clean fuel source while also helping to reduce the trade deficit. Scheduled firewood collection has resulted to shortage of fuel wood and has increased dependency on cow dung cake for daily cooking. Socio-economic condition of community members has remained as the obstacle for fuel shifting towards modern and clean energy that produces no smoke and no indoor air pollution, and thus, reducing respiratory diseases. Fuel transition has great positive impact on forest conservation,too.

Can China railway express enhance the economic-trade vitality of cities? A spatial empirical evidence from China

The process of globalization has encountered obstacles, with increasing regional conflicts and unforeseen events, posing greater challenges to global cooperation. Particularly, transportation bottlenecks are hindering international economic and trade activities and exerting significant pressure on economic recovery. In response to the principles of economic development, China introduced the Belt and Road Initiative (BRI) that targets to enhance economic and trade activities in the regions along the route. China Railway Express (CR Express) is an essential vehicle for the BRI, characterized by advantages such as convenience, safety, stability, and promotion of green economy. It serves as a necessary means for China to enhance economic and trade influence. This study conducts quantitative research utilizing a dataset from 287 prefecture-level Chinese cities, with a primary focus on examining the operational effects of the CR Express and deriving the following conclusions. Firstly, combining theoretical insights with practical experience, a comprehensive analytical framework was established, and an economic and trade vitality (ETV) index was constructed. The results showed that the ETV increased in over 43.9% of cities. Secondly, using a multi-temporal asymptotic spatial different-in-differences (SDID) model, we obtained that CR Express exhibited significant spatial spillover effects, making a substantial contribution to urban ETV. Thirdly, spatial heterogeneity detected that the intensity of CR Express policy effects varied across city types due to diverse patterns of economic development and consumption structures. Ultimately, mechanisms for the impact of CR Express on ETV was examined more precisely and an integrated five-sphere mechanism was proposed. The conclusions of this research enrich the vital connection between CR Express and urban ETV, providing managerial insights for both enterprises and governments seeking new development opportunities.

Spatiotemporal pattern evolution and influencing factors of population spatial distribution in Changsha-Zhuzhou-Xiangtan urban agglomeration, China

<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">Population, as a fundamental element in urban development, often reflects a city's economic development pattern through its spatial distribution and dynamic changes. Studying population spatial distribution is pivotal for bolstering the economic activity capacity in urban agglomerations and guiding regional economic health. Using the Changsha-Zhuzhou-Xiangtan urban agglomeration as a case study, this paper analyzes its overall spatial structure and the spatiotemporal evolution of population at the district and county levels. This analysis utilizes population density, population redistribution index, and population geographic concentration as key indices. Additionally, a spatial econometric model is constructed to assess the impact of economic, social, and environmental factors on population spatial patterns. Findings reveal several key points: (1) Furong District serves as the primary central area, boasting a population geographic concentration of 25.1% in 2021. Tianxin District, Kaifu District, Yuhua District, Shifeng District, Yuelu District, and Hetang District constitute the secondary central areas, while Yutang District, Tianyuan District, Lusong District, Yuhu District, Wangcheng District, and Changsha County form the tertiary level areas. (2) Population density within the Changsha-Zhuzhou-Xiangtan urban agglomeration gradually decreases from Furong District outward. The first central area and sub-central areas experience increasing population density, highlighting a polarization trend in the population distribution. (3) The overall Moran's index for the spatial distribution of population in the Changsha-Zhuzhou-Xiangtan urban agglomeration is significantly positive, indicating a strong spatial autocorrelation and a deepening spatial agglomeration of population distribution. (4) Per capita disposable income, financial expenditure, and education level positively influence the geographical concentration of population in the urban agglomeration, while GDP per capita, road area per capita, and environmental quality exert a negative impact. Notably, the most influential factors shaping population spatial distribution are GDP per capita, disposable income per capita, and air quality.</span></p>

A Study on the Changes of Green Total Factor Productivity in Chinese Cities under Resource and Environmental Constraints

Confronting the dual challenges of excessive resource consumption and environmental pollution, the traditional extensive economic development pattern significantly impeded the high-quality development of the Chinese economy. Examining variations in green total factor productivity across different types of cities holds substantial practical significance for promoting coordinated regional development and facilitating the green transformation of urban economies. Panel data from 283 cities in China spanning the years 2006 to 2020 were selected for analysis. The window-Malmquist–Luenberger index model, incorporating a mixed distance function, was employed to assess changes in green total factor productivity among the sample cities. The results were then categorized and analyzed based on different city attributes. The findings indicate that (1) the variation in green total factor productivity across China’s four major regions from 2006 to 2020 is generally characterized by an initial decline followed by an increase; (2) the proportion of cities with significantly improved green total factor productivity decreases from the east to the central, western, and northeastern regions; (3) the increase in green total factor productivity is positively correlated with city size, suggesting that larger cities experience higher growth in green total factor productivity; (4) first- and second-tier cities exhibit a relatively high mean value of green total factor productivity growth, while third-, fourth-, and fifth-tier cities demonstrate relatively lower growth.

Analysis of Regional Social–Economic Spatial Pattern and Evolution along the Beijing–Hangzhou Grand Canal

With the proposal of the Beijing–Hangzhou Grand Canal Cultural Belt, the Beijing–Hangzhou Grand Canal has become an indispensable component of China’s economic development pattern. Despite relatively high regional-economic-development levels along the canal, there still exists a common imbalance in regional development which will hinder the high-quality collaborative development of the region, highlighting the importance of measuring this disparity. This study adopts the district and county as spatial scales and selects five dimensions: economic growth, livelihood benefits, green ecology, innovation drive, and food guarantee in order to construct a comprehensive socio-economic index. Entropy weight method, Moran index, and Theil index analyses are used to examine the recent ten-year evolution laws in regional socio-economic spatial patterns along the Beijing–Hangzhou Grand Canal. Results indicate that socio-economic indicators designed for each dimension effectively measure both individual districts’ and counties’ economic situations as well as those of entire regions. In 2021, limited significance was observed regarding the level of regional economic agglomeration along the Grand Canal region, suggesting a tendency towards fragmented development rather than forming a well-coordinated model. Over the decade from 2011 to 2021, there was an increase in social and economic agglomeration. From a city unit perspective, developmental disparities among districts and counties within cities follow three distinct patterns. Cities at different stages of development can learn from each other’s models to enhance integration cooperation and collectively promote high-quality economic advancements in the Grand Canal region.

Does Industrial Symbiosis Improve Carbon Emission Efficiency? Evidence from Chinese National Demonstration Eco-Industrial Parks

Improving carbon emission efficiency (CEE) is a necessary consideration in response to economic downturn and climate change. In this case, industrial symbiosis paves the way for cities to conserve energy, reduce carbon emissions, and upgrade economic development patterns. This paper verifies the influence of industrial symbiosis policies on CEE, represented by National Demonstration Eco-industrial Parks (NDEPs). The difference-in-differences (DID) and spatial DID (SDID) models, as well as panel data of 282 Chinese cities during 2003–2019, were used to complete this argumentation process. The results show that NDEP policy dramatically increases the CEE of pilot cities. Compared with cities without NDEP, pilot cities climb by 3.49% on CEE, mainly due to industrial structure upgrading and green technological innovation. Moreover, eastern, non-resource-based, and multi-NDEP cities experience a noticeable increase in CEE. NDEP increases not only the CEE of pilot cities but also that of their neighboring cities within 450 km through diffusion and demonstration effects. All these findings help promote China’s NDEP construction and offer decision-making guidance for climate governance and low-carbon transition in China and others following a similar pathway.

Study on the Development Trends and Strategies of International Economy and Trade under the New Situation

Abstract In today’s increasingly globalized world, trade between countries has become more interconnected, and international trade has emerged as the primary driver of economic development for all nations. This paper proposes a standard trade model for the new situation using the Dixit-Stiglitz model. Starting from the consumer’s point of view, the two-stage maximum method is adopted. Using the Lagrange function, the demand utility function of consumer preferences is processed, and the model optimization scheme is deduced. The ARMA model is used to predict the volume of merchandise foreign trade, and the prediction range includes autoregressive and moving average processes. The indicators are used to evaluate the smoothness of the series within the sample period. A suitable sample of international trade data is selected. The results of the analysis are as follows: in the logistic autoregressive analysis test, the significance of all factors, except for the language and religion factors, passes the significance test of 0.001, and at the same time, the model goodness-of-fit is greater than 0.1, ranging from 0.115 to 0.175. In the analysis of the spatial evolution pattern of international economic trade and trade dynamic development, the spatial Gini coefficients of the first category of goods in 2000, 2014, and 2019 and the third category in 2000 are 0.4306, 0.4717, 0.4956, and 0.4673, respectively, which are lower than 0.5, showing a more balanced evolution pattern.

Influence of financialization on the business activity of non-financial enterprises in Poland

Motivation: Financialization is connected with the phenomenon of dominance of the financial sphere in relation to the real sphere. Financialization, when applied to non-financial entities, means the increase of importance of financial motives in the decision-making processes of enterprises. Changes result from transformations of the system of economic incentives and development patterns, both in the economy and among economic entities, which are focused on fast earning. Enterprises for that purpose, they use leverage and financial instruments to generate profit, limiting the operational and investment activity.Aim: The aim of this paper is to examine if the processes of financialization have affected the activities of non-financial enterprises operating in Poland based on a multifaceted analysis of the financialization of enterprises: from the point of view of investment activities (assets), sources of external financing (liabilities), income and management. Moreover, an attempt was made to answer the question if these processes apply equally to particular industries and enterprises according to their size.Results: The conducted research showed that non-financial enterprises operating in Poland do not show signs of financialization of their activities. There is a noticeable upward trend in active and passive financial instruments of the balance sheet total. However, it does not translate into an increase in financial income. Research related to factors affecting ROE as a measure of shareholder value assessment, showed that it is determined by operating performance. In addition, the research showed that there were no statistically significant differences in the financialization of operations between large companies and the SME sector. With regard to sectors, the research indicated that there were sectors that differed from the others. In terms of the degree of financialization of assets, liabilities and income, it is sector L — “Real estate activities”.