Economic Dimensions Research Articles

Strategic marketing of sustainable fashion: exploring approaches and contradictions in the positioning of fashion rental

Despite the potential of sustainable fashion alternatives such as fashion rental, the market share of these business models is low, and they are considered niche offerings in the fashion market dominated by unsustainable options. However, limited research exists on the strategic marketing efforts required to position and scale these models. The aim of this study was to explore the strategic marketing of sustainable fashion by identifying approaches and contradictions in the positioning of fashion rental as a sustainable alternative. A qualitative multiple-case study was conducted involving five fashion rental companies in Finland. The findings were interpreted using Customer Value Propositions (CVPs) as a conceptual framework for exploring the economic, functional, emotional, and symbolic dimensions of proposed customer value as indicators for positioning. The study identified two approaches for positioning fashion rental: 1) in relation to ownership and 2) in relation to consumerism. These approaches revealed contradictions between detaching from and encouraging product ownership and balancing between maintaining and reducing consumerism. The results suggest that fashion rental companies navigate between niche and mainstream audiences by applying plasticity in their strategic marketing and that these activities occur within a highly complex environment. This article provides insights into the intermediate position of sustainable fashion alternatives, and expands the understanding of the gap between the acknowledged need to move to sustainable fashion and the minor share of these options on the market.

Optimization and Uncertainty Analysis of Hybrid Energy Systems Using Monte Carlo Simulation Integrated with Genetic Algorithm

This study investigates the optimization of hybrid energy systems (HES) composed of wind turbines, battery banks, and diesel generators, focusing on addressing the challenges posed by wind speed uncertainty. This research contributes significantly to the field by developing a novel methodology that combines uncertainty analysis with hybrid optimization techniques to improve the reliability and cost-effectiveness of HES. The findings revealed that initial simulations without renewable energy sources result in high diesel consumption, with fuel usage reaching 534,810 liters per year and associated carbon emissions totaling 797,070 kg/year. Through optimization, an economically viable configuration is identified, consisting of 37 battery banks, two 250 kW wind turbines, and a 340-kW diesel generator, achieving an Annualized System Cost (ASC) of $166,500 and a Cost of Energy (COE) of $0.1480/kWh. The Monte Carlo simulations indicate a most probable COE of $0.1450/kWh for the wind turbine/battery/diesel system, occurring with an 8.3% probability, while approximately 90% of COE values fall below $0.1669/kWh. The average COE is $0.14834/kWh, with a minimum of $0.12163/kWh. The Renewable Energy Fraction (REF) spans from 28% to 97%, with an average of 64% and a standard deviation error of 9.6% at a 95% confidence level. The results underscore the potential implications for informing policymakers and industry leaders about the design and evaluation of HES under uncertain environmental conditions. By addressing the limitations of current approaches, this work contributes valuable insights into the economic, environmental, and social dimensions of hybrid renewable energy systems.

Evaluating Globalization In India: A Comparative Study Of Economic Impacts Before And After 'Make In India'

This research paper presents a comparative analysis of globalization before and after the launch of the "Make in India" initiative. In our interconnected world, globalization has become a significant force shaping economies, cultures, and communities, particularly in the context of India (Srinivasan). This study examines the various dimensions of globalization and its multifaceted impacts on human life. While globalization presents opportunities such as enhanced trade and technological advancement, it also poses challenges, including cultural homogenization and economic disparities (Rodrik). A thorough analysis of its political, social, cultural, and economic dimensions enables a deeper understanding of its effects on India and beyond. The paper employs secondary data to conduct a comparative analysis of globalization's impact before and after the "Make in India" initiative. The introduction contextualizes this research issue, underscoring its significance in today’s globalized environment. Our conceptual framework is informed by contemporary theories and existing literature, ensuring a solid foundation for our analysis (Nayyar). Through a carefully structured data collection approach and a clearly defined methodology, we have prioritized the reliability and validity of our empirical findings. Our investigation reveals the considerable influence of the "Make in India" movement on various aspects of globalization. Although the study faces limitations, including reliance on secondary data and potential biases in source material, it makes a significant contribution to the discourse on globalization, especially in the Indian context (Kumar). The findings give critical insights into the dynamics of globalization and evaluate the effectiveness of policy initiatives like "Make in India" in fostering economic growth and development

The impact of agricultural development on socioeconomic well-being: A sociological review of African case studies and implications for U. S. policies

This sociological review examines the impact of agricultural development on socioeconomic well-being in African communities, drawing on case studies that highlight the role of social factors—class, ethnicity, and community networks—in shaping development outcomes. African agricultural initiatives have revealed complex interactions between economic and social dimensions, demonstrating that agricultural growth alone does not automatically translate to equitable socioeconomic benefits. The influence of class disparities often means that wealthier groups gain disproportionately from development projects, while marginalized ethnicities and lower-income communities encounter barriers to economic participation. Community networks, however, play a critical role in mitigating such inequalities by promoting resource sharing, knowledge exchange, and resilience-building within rural societies. This analysis offers valuable insights for U.S. policy aimed at rural poverty reduction and inclusive growth. Specifically, it suggests that U.S. agricultural policies could benefit from integrating sociological perspectives that address social disparities and strengthen community bonds within rural areas. By recognizing the role of social capital and community networks, U.S. policies could enhance resource accessibility and foster inclusive economic growth, particularly in underserved rural regions. The review concludes by identifying directions for future research, emphasizing the need to explore how agricultural development influences social mobility within rural communities, particularly regarding class and ethnic dynamics. Additional areas for investigation include the intersection of economic development and social inequality, as well as the sociological impacts of agricultural policies on rural household dynamics. Understanding these relationships can inform policies that not only support agricultural productivity but also ensure that growth leads to improved well-being across all social groups.

Issues Behind the Measurement of Political Orientation

Abstract: Given the limited research addressing the construct and content validity of single-item and multiple-item measures of political orientation (PO), we investigated the effect sizes in the relationship between PO and variables categorized into multiple dimensions using a meta-analysis of 511 independent effect sizes from 108 articles published from 2012 to 2022. Multiple-item measures of PO that included economic items had a large effect size ( r = .55 ~ .75) in their association with variables in the economic, environmental, and traditionalism dimensions, whereas we found small effect sizes ( r = .23 ~ .24) between single-item PO and variables in the economic and environmental dimensions and a medium effect size ( r = .31) between single-item PO and variables in the traditionalism dimension. Based on the pooled data consisting of all multiple dimensions’ data subsets, we found medium effect sizes ( r = .35 ~ .39) for multiple-item measures of PO and a small effect size ( r = .27) for single-item PO. Our content analysis of 30 multiple-item measures of PO showed that over 80% of multiple-item measures were grounded in US and/or Western countries’ political contexts and samples and 50% of them did not measure economic aspects of PO. We discuss implications for future research.

Impact of February 6, 2024 Earthquakes on Community Resilience

This study explores the interaction of people and place, the most important elements of geography, in the context of community resilience. Community resilience is the process of adaptation of a society to changing conditions by recovering from the effects of disasters as soon as possible. A resilient community is considered one of the most important components of disaster respons. In the context of increasing disaster risks, interest in increasing community resilience is growing in both academic and policy circles. This study seeks to understand how individuals affected by the February 6, 2023, earthquakes perceive resilience. These interviews were conducted as qualitative research. Typical case sampling was used in the study. Participants were selected from individuals who had experienced both earthquakes (January 24, Elazig and February 6, 2023, Kahramanmaraş) and equal gender distribution was sought. Interviews were conducted on July 15 and August 15, 2023, six months after the second earthquake. Interviews were conducted with 22 people, consisting of 11 female and 11 male earthquake survivors from Elazig, Kahramanmaraş, and Malatya, the three provinces affected by the earthquake. A descriptive analysis of the opinions obtained after the interviews was conducted. Similar answers were brought together, and conclusions on social resilience were evaluated in terms of social, environmental, economic, built, natura, and institutional environment dimensions.

An Evaluation Framework of Industry 4.0’s Impact on SDGs and its Application to AI Reporting

Digital technologies of Industry 4.0 (I4.0) are key drivers of sustainable development. However, addressing the impact of I4.0 on Sustainable Development Goals (SDGs) requires overcoming the challenge of lacking suitable assessment tools. Despite sustainability reporting serves to assess how companies face sustainability challenges, communicate efforts, and promote a sustainable corporate culture, a critical need arises for a comprehensive tool that clarifies the impact of I4.0 technologies on the economic, environmental, and social dimensions of sustainability. This paper proposes a conceptual framework that builds on existing literature regarding how I4.0 technologies contribute to SDGs and leverages the recognized linking between SDGs and Global Reporting Initiative (GRI) Standards to improve the reporting of SDG progress. Thus, the proposed framework identifies the GRI-based Key Performance Indicators necessary for a thorough understanding of how innovation stemming from I4.0, significantly impacts SDGs. Through a content analysis of sustainability reports of innovative companies in the electronic field, the study shows how the proposed framework can be applied in practice. Focusing on Artificial Intelligence (AI), the application case allows a comprehensive understanding of the transformative potential of AI solutions towards sustainable development.

Research on the efficiency and spatiotemporal evolution characteristics of agricultural green development in central cities of the Yangtze River Delta

IntroductionAgricultural green development (AGD) prioritizes sustainable growth by integrating economic, ecological, and social dimensions, aiming to harmonize agricultural economic development with environmental protection and social progress.MethodsThis study integrates the three-stage super-efficiency DEA-SBM model with the BP algorithm, creating an advanced DEA-SBM-BP model to overcome the shortcomings of traditional DEA in evaluation and management processes. The study further applies the Dagum Gini coefficient, kernel density estimation (KDE), and Moran’s index to assess and forecast the efficiency and spatiotemporal evolution patterns of green agricultural development in key cities within the Yangtze River Delta.ResultsThe analysis shows that AGD in the central city of the Yangtze River Delta is overall balanced; however, substantial variations exist among cities within individual provinces. Factors like macroeconomic conditions, workforce quality, and policy support play a crucial role in promoting the efficiency of AGD. Among these, macroeconomic development level has a negative impact, while labor quality and policy support exhibit bidirectional effects. Infrastructure construction, digitalization of agricultural economy, and rural security have become key factors in the green development of modern agriculture. The green advancement of agriculture in the central Yangtze River Delta region typically exhibits a marked clustering effect; however, the local clustering reveals a trend toward dispersed development.DiscussionDespite the emergence of new characteristics in agricultural production in China within the context of high-quality development, differences in resource endowments and economic structures among cities continue to be significant factors contributing to regional imbalances and changes in the agglomeration patterns of agricultural development.

Digital Transformation in the Agri-food Sector: A Comparative Analysis of Industry 4.0 Innovations by Italian Sustainability Leaders

The agri-food sector is a key actor in the Italian economy and plays a crucial role in rescuing and accelerating progress towards the Sustainable Development Goals (SDGs). However, diverse sustainability challenges including environmental conservation, economic volatility, political changes and regulatory constraints affect the agri-food company’s competitiveness and their ability to face global sustainability challenges. Exploiting digital innovation is then essential. By facilitating more efficient management of resources, reducing waste and improving supply chain transparency, digital innovations contribute to more sustainable, inclusive and resilient agri-food systems. This paper aims to understand the ongoing digital transformation of the Italian agri-food sector through a comparative analysis of innovative practices by Italian agri-food companies that are recognized as sustainability leaders. Among the Industry 4.0 (I4.0) technologies, sensors, blockchain, cyber security, and artificial intelligence appear to be the most adopted I4.0 solutions to help companies influence the social, economic and environmental dimensions of sustainable development.

ENHANCING BUSINESS SUSTAINABILITY THROUGH CSR: A CASE STUDY OF "BETTER LIVING IN MALAHING” IN THE PERSPECTIVE OF CARROLL'S PYRAMID

This study examines PT PKT's CSR initiative, "Better Living in Malahing," in relation to business sustainability and its alignment with the Sustainable Development Goals (SDGs). The research underscores the critical role of economic responsibility and profitability in sustaining both social and environmental goals. Using a qualitative case study approach, the study delves into the implementation of the CSR program based on Carroll's Pyramid of responsibilities, encompassing economic, legal, ethical, and philanthropic dimensions. Data collection methods include in-depth interviews, observations, and document analysis. Findings reveal that the program significantly improved the quality of life for coastal communities in Bontang while simultaneously bolstering the company's reputation. Moreover, a strong correlation between corporate social responsibility and sustainable financial performance is identified. The conclusion emphasizes that integrating CSR into core business strategies is crucial for long-term sustainability. This research contributes by illustrating the necessity of well-structured, enduring CSR initiatives in supporting economic, social, and environmental dimensions of corporate operations.

Construction of women's empowerment index for Bangladesh

IntroductionThis study is dedicated to refining and enhancing the measurement model of women's empowerment in Bangladesh. Women's empowerment, a crucial and multifaceted aspect of societal growth, is often hindered by gender disparities. This is particularly evident in societies like Bangladesh, where women face inequalities in education, economic opportunities, and decision-making power. To address these disparities effectively, it is essential to have a comprehensive understanding of women's empowerment. Therefore, this study aims to refine and enhance the measurement model to capture the multifaceted nature of women's empowerment accurately.MethodsTo gather data for this study, a structured questionnaire was administered to married women of reproductive age (15–49) in eight Mouza/Mohalla in Dhaka, Bangladesh. This unique approach allowed us to capture a diverse range of perspectives. We used thirty-three indicators across economic, socio-cultural, household, and psychological dimensions to measure women's empowerment. The sample data were then randomly divided for exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) to identify and validate a comprehensive multidimensional framework.ResultsOut of 625 respondents, only 36% of women worked, and ~39% married before age 18. Employing thirty-three items in EFA led to identifying eight critical factors (economic independence, control over household financial decisions, household decision-making, reproductive decision-making, freedom of movement, media exposure, positive self-esteem, and negative self-esteem). These factors, which explained 72.661% of the total variance in the data, provide a practical framework for understanding and addressing women's empowerment. Each component was then divided into two sub-dimensions to acquire a better understanding. The CFA indicated a good model fit for each dimension, and convergent and discriminant validity assessments were used to establish reliability and validity, further enhancing the practical implications of our findings.ConclusionsThe results of our rigorous exploratory and confirmatory factor analyses not only confirmed the sample structures and internal consistency but also provided significant insights. The findings suggested an adequate fit for all CFA models, indicating the robustness of our measurement model. According to the CFA results, each dimension's variables are satisfactory, and all the dimensions can be combined to create a single index measuring women's empowerment. This comprehensive understanding of women's empowerment, with its specific dimensions and factors, equips policymakers and practitioners with the knowledge to develop a wide range of interventions appropriate to particular facets of empowerment, thereby fostering societal growth and gender equality.

AI-Enhanced Strategies to Ensure New Sustainable Destination Tourism Trends Among the 27 European Union Member States

The United Nations 2030 Agenda defines the priorities and aspirations for global development based on seventeen ambitious sustainable development goals encompassing economic, environmental, and social dimensions. Tourism plays a vital role in the list of actions for the people and the planet. While the tourism industry drives economic growth, its environmental and social impact is equally high. Sustainable tourism aims to reduce the damage caused by the tourism industry, protect communities, and guarantee the industry’s long-term future. These changes require tourists’ collective and concerted effort. The question arises whether tourists are willing to be more demanding about sustainability when looking for a destination. This study uses artificial intelligence to classify a new trend in European citizens’ search for sustainable destinations and to generate intelligent recommendations. Using data from the Flash Eurobarometer 499, we use a tree-based algorithm, random forest, to obtain intelligent citizens classification systems supported by machine learning. The classification system explores the predisposition of citizens to contribute to the three pillars of sustainability when choosing a destination to visit based on gender, age, and the region of living. We found that European citizens place little emphasis on the social sustainability pillar. While they care about preserving the environment, this competes with the cultural offerings and availability of activities at the destination. Additionally, we found that the willingness to contribute to the three pillars of sustainability varies by gender, age, and European region.

The Evolution of Cameroonian Cooperation with the Soviet Union and the Russian Federation: A Historical and Geopolitical Analysis

This paper investigates the historical and evolving relationship between Cameroon and the Soviet Union and later, the Russian Federation, focusing on political, military, economic, and cultural dimensions. Positioned strategically at the crossroads of West and Central Africa, Cameroon has balanced longstanding ties with France against a growing partnership with Russia. Since the Soviet Union’s formal recognition of Cameroon's independence in 1964, Soviet support in education, infrastructure, and ideological alignment contributed to a foundational relationship grounded in anti-colonial and socialist values. Following the dissolution of the Soviet Union in 1991, relations were reestablished with the Russian Federation, shifting from ideological alignment to pragmatic cooperation, particularly in defense and economic engagement. Key findings indicate that Russia cooperation with Cameroon cut across education, reciprocal visa exemption agreement for holders of diplomatic and service passports, food trade and military defense. The study uses a qualitative methodology, incorporating primary sources such as government records, treaty documents, and public statements, alongside secondary sources including academic articles and policy analyses. This approach allows for an examination of key historical milestones, the role of security concerns, and economic priorities that have shaped Cameroonian-Russian relations over the years.

Economic Value of Endangered Languages

In a world where more than half of the 6,500 languages are under the threat of extinction, this paper challenges the conventional view that language preservation lacks concrete economic benefits. Investigating the intricate relationships between monolingualism, cultural identity, and economic dynamics, it illuminates the diverse values that languages contribute to our global heritage. From communicative and emotional to ecological and scientific perspectives, the paper unveils the interconnectedness of linguistic diversity with biodiversity, influencing conservation efforts and ecological equilibrium. Case studies illustrate the economic implications of language loss in sectors like medicine, where traditional knowledge guides pharmaceutical development. Beyond direct monetary considerations, the exploration underscores the unexpected role of language in business, influencing international trade, collaboration, and workplace dynamics. Advocating for the economic value of investing in language resources, the article urges decision-makers to recognize the economic dimensions of endangered languages. The conclusion calls for a shift in perspective, positioning languages not merely as cultural assets but as vital economic factors. It encourages the integration of language preservation into national and international policies to safeguard global linguistic diversity.

Sustainability Indicators of Family Farming in a Rural Community in the Amazon Interior

Objective: The objective of this work was to measure sustainability indicators using the MESMIS methodology in the Colônia do Uraim community in Paragominas, state of Pará, aiming to show the sustainability level of this productive activity. Theoretical Framework: This section introduces the concept and foundations of the MESMIS Method (Marco para Evaluación de Sistemas de Manejo de Recursos Naturales Incorporando Indicadores de Sustentabilidad), which assesses the sustainability of agroecosystems through indicators. Additionally, it explores the concept of sustainable development and the importance of specific indicators to evaluate and strengthen sustainability in family farming systems in the Amazon. Method: The research adopts a case study approach in a community within the Amazon, focusing on nine family agroecosystems. The MESMIS method was used, applying questionnaires and direct observations to gather data from the producers. The analysis was based on identifying and measuring sustainability indicators in the environmental, economic, and social dimensions, which were scored on a scale from 1 to 5. Results and Discussion: The results show an intermediate effort in environmental conservation, primarily through reforestation, but reveal economic and social challenges, such as low diversification of activities and the need for technical support, underscoring the need for public policies adapted to the local context. Research Implications: The implications of this research encompass both the practice of monitoring sustainability in agroecosystems and the development of support policies for family farming. This study is particularly relevant for environmental conservation initiatives and local economic development, providing essential data to improve sustainable agricultural practices. Originality/Value: The study contributes to the sustainability literature by applying and adapting the MESMIS method to Amazonian family agroecosystems, highlighting local specificities. This innovative approach enables a critical assessment and offers recommendations that can influence policies and sustainable development strategies in the region.

Spatial benefit assessment and marine climate response of coastal zone in Fujian Province under cross-system influence.

To gain a scientific understanding of the cross-system impact of coastal zones and promote the sustainable development and protection of coastal areas, we constructed a spatial benefit evaluation system that encompassed both terrestrial and marine systems, focusing on the ecological, economic, and social dimensions. We employed the entropy method, moving average method, and Mann-Kendall trend test to quantitatively characterize the spatial benefits of the coastal zone in Fujian Province, China, and the evolution of the marine climate from 2005 to 2020. Building on this, the grey relational analysis method was applied to investigate the correlation between spatial benefits and marine climate and to explore the trends and magnitude of the impact of marine climate on spatial benefits. During the study period, the spatial benefits of the coastal zone in Fujian Province exhibited a fluctuating pattern of an initial increase followed by a decrease, with spatial benefits varying among cities. The role of the economic system in enhancing spatial benefits was not considerable. Changes in the marine climate aligned with the global warming trend, with the most considerable changes observed in sea level and tropical cyclone frequency and intensity, which are sensitive to human activities. There was a high degree of correlation between coastal zone spatial benefits and marine climate, with seawater salinity being most closely related to spatial benefits, while tropical cyclones showed the weakest correlation. The results of this study support sustainable development efforts in coastal zones.

Kunz and post-communist geographies of urban poverty in Romania

This article examines the spatial, social, economic, and civic dimensions of poverty in a post-communist Romanian city, focusing on the Kunz, an informal neighborhood in Timișoara. In Romanian, areas marked by concentrated poverty are pejoratively referred to as mahala, and internationally as, akin to the pejorative word, ‘slums’. This study sheds light on spatially concentrated poverty in post-communist cities through the lens of urban planning, citizenship, and environmental justice. Drawing on multiple research methods, the research reveals how environmental injustice is perpetuated by the lack of inclusive urban planning strategies, exacerbating existing poverty due to a continuous influx of impoverished populations from various regions. Exploiting legal uncertainties, these newcomers built homes without property deeds, subdividing older land plots. The strong socio-economic cohesion, basic urban infrastructure arrangements, temporary identity cards, and strong family ties within the community mitigate the fear of eviction from substandard housing. Economic crises generate a certain sense of security in the face of eviction as residents in these impoverished areas interpret crises as opportunities for safety. This sentiment prevails as substantial public investments are often delayed, reducing the likelihood of demolition and mass evictions, leaving the population nowhere else to turn.

Sustainable Livelihood in Post-Disaster Tourism: Lesson Learned from Merapi Tourism Site

This research aims to explore the practice of the Sustainable Livelihood Tourism Framework (SLTF) in post-disaster management in the Mount Merapi area, Sleman, Yogyakarta. The focus of SLTF achievement in this study encompasses ecological, economic, sociocultural, and institutional dimensions. Research on the SLTF has indeed become a significant focus in tourism studies. However, most of these studies are confined to a single research methodology, resulting in limited scope and a lack of comprehensive discussion. This study used a mixed-method approach with an explanatory sequential design. The study found that tourism positively impacts the increase of economic activities in the community. However, on the ecological side, tourism presence degrades environmental quality due to issues such as carbon emissions, industrial waste, climate change, the greenhouse effect, illegal logging, and illegal mining. Furthermore, other policies were identified, such as mineral water mining permits that degrade the environment and the establishment of landfill sites in the Kaliurang area, which spoils the natural beauty. Tourism practices also have a negative impact on institutional aspects, as the community perceives government policies as too complex and not meeting their expectations. Lastly, in the socio-cultural aspect, tourism preserves traditional values, as tourists tend to respect them. This mixed-method approach underscores the need for balanced strategies that address environmental concerns while maximizing economic benefits, improving institutional involvement, and supporting socio-cultural enhancement.

Effect of Women’s Involvement in Small and Medium-Scale Enterprises on their Economic Empowerment in Calabar, Cross River State

This study examined small and medium-scale enterprises and women’s economic empowerment in Calabar, Cross River State. It specifically examined the effect of women’s involvement in SMEs on their economic empowerment dimensions such as financial independence, skills development and business networking opportunities. The study adopted a cross-sectional research design. A structured questionnaire was used to obtain primary data from 337 female operators of SMEs in Calabar. The data were descriptively analyzed, while the study hypotheses were tested using simple linear regression in the Statistical Package for the Social Sciences (SPSS). After the analysis, it was found that women’s involvement in SMEs operations had a significant positive effect on their financial independence, skills development and business networking opportunities in Calabar. Hence, the study recommended that women in Cross River State should genuinely be supported with financial, technical and material resources to get fully involved in entrepreneurship through SMEs in order to improve their financial independence, ensuring self-employment, income generation, and asset ownership to support their families. It was also recommended that the Government of Cross River State and relevant stakeholders should introduce credible and fully-funded programmes that enable women to gain and improve valuable entrepreneurial skills to effectively engage in SME operations in order to attain sustainable economic empowerment. Additionally, the study recommended that stakeholders in the private sector, including industrialists, non-governmental organizations, and trade associations, among others should encourage female entrepreneurs to participate in networking events, professional associations, workshops and conferences in order to build valuable connections to grow their business.

Are Medium-Sized Cities in China Shrinking from 2010 to 2020? An Empirical Analysis with a Multi-Dimensional Model

Urban shrinkage has emerged as a worldwide concern, which is increasingly prevalent in developing countries like China, particularly in medium-sized cities (MSCs). Compared to large cities and counties, MSCs find themselves in a national policy blind spot and have been neglected both in policy and research. Previous studies, based on population changes, have shown that urban shrinkage in China is not severe. However, urban shrinkage is not just about population decline, and it has not been adequately discussed from a multi-dimensional perspective. This paper adopts a multi-dimensional model, considering population, economy, and space dimensions to analyze shrinkage patterns in 164 MSCs in China from 2010 to 2020. Findings reveal that 6.1% of MSCs experienced population shrinkage, and 24.4% faced shrinkage in economic or spatial dimensions. Shrinking MSCs are spatially distributed in the Northeast as well as in the areas surrounding large cities. Industrial restructuring, job losses, and healthcare disparities contribute to urban shrinkage, and the impact of aging will be further felt. As large cities consistently attract population and resources and digitization has dramatically affected population mobility, more MSCs will shrink in the future. This paper contributes to the understanding of shrinkage of MSCs among scholars and policymakers, urging a shift towards more balanced and digital urban governance.