Search Results (1,141)

The digital creative industries have emerged as a critical driver of regional economic transformation, upgrading, and sustainable development. While previous research has primarily focused on creative industry layout and agglomeration in urban areas, with the integration of digital technology and the creative industry, existing research has an insufficient explanation for the digital creative industry. Specifically, few people have studied the spatial distribution and diffusion of digital creative industries in emerging economies from the macro-regional level. To address this gap, this study analyzes the spatial diffusion mode and regional spatial response law of digital creative industries in the Yangtze River Delta during three critical time windows (2016, 2019, and 2022) in the context of national strategy implementation. A range of spatial analysis technologies is utilized to process the full sample of big data from digital creative industries. This study utilizes OLS and a quantile regression model to determine the dominant factors that affect spatial diffusion and response in the digital creative industries. The results demonstrate that, against the backdrop of regional development strategies, digital creative industries exhibit a variety of diffusion modes, including contagious, hierarchical, corridor, and jump diffusion. The response of industries to regional strategies has different rules in terms of regional space, urban development, and sub-industries. Furthermore, the comprehensive influence of institutional environment, urban economy, development and innovation significantly impacts industrial spatial diffusion and regional response. Among them, government investment in science and technology and the number of universities have consistently been important influencing factors, and policy exhibits nonlinear effects and asymmetric characteristics on industry agglomeration and diffusion. This study enhances the understanding of digital creative industry development in the YRD and offers a theoretical basis for optimizing regional industrial spatial structure and promoting the sustainable development of digital industries. Full article

The rapid conversion of cropland into construction land in China poses an increasing threat to national food security. Using high-resolution (30 m) land-use data from 2000 to 2020, obtained from the Resource and Environment Science and Data Center, along with spatial analytical methods such as land-use transition metrics and centroid-based migration models, this study identifies the spatio-temporal evolution and spatial migration patterns of construction land expansion and cropland loss. Combined with multi-source data, including socioeconomic, environmental, and topographic variables, this study employs a geographically weighted regression (GWR) model to explore the spatially heterogeneous driving mechanisms of two key indicators: the dependency of construction land expansion on cropland (DEP) and the contribution of cropland loss to construction land (CON). The results reveal that cropland has generally increased in the west and decreased in the east, reflecting expansion in underdeveloped areas and shrinkage in wealthier regions. In contrast, construction land expansion shows polycentric and stage-specific characteristics. Both DEP and CON remain high in major grain-producing areas like the North China Plain. Among the influencing factors, the non-grain production rate strongly inhibits DEP, while chemical fertilizer use significantly promotes CON. The urbanization rate shows a southwest-to-northeast increasing inhibitory effect on DEP and a northeast-to-southwest increasing promoting effect on CON. Local fiscal expenditure and land degradation demonstrate spatially heterogeneous effects. These differences highlight the conflict between low-cost land development priorities and cropland protection policies. Full article

This study examines the extent to which smart cities are expressions of nationally homogeneous development trends by way of an analysis of their structural characteristics from a multivariate viewpoint. Drawing on data from the International Institute for Management Development IMD Smart City Index 2024, we find a sample of 102 cities across the world clustering along six key dimensions of smartness: mobility, environment, government, economy, people, and living. The aim is to examine if cities within a country have similar profiles and, if so, to what degree such similarity translates to other macro-level institutional, political, and cultural conditions. Our results verify a tight correspondence between city profiles and national contexts, implying that macro-level governance arrangements, policy coordination, and institutional capacity are pivotal in influencing local smart city development. Planned centralised countries possess more uniform city characteristics, while decentralised nations possess more variant urban policies. This study contributes to international debate regarding smart cities by empirically identifying national directions of urban innovation. It offers pragmatic inputs for policymakers that aim to align local efforts with overall sustainable development agendas. Moreover, this study introduces a novel application of Linear Discriminant Analysis (LDA) to classify smart city profiles based on national models. While the analysis yields high classification accuracy, it is important to note that the sample is skewed toward cities from the Global North, potentially limiting the generalisability of the results. Full article

This study provides a comprehensive assessment of water infrastructure, consumption management, and educational practices across all public pre-university educational institutions in Cluj County, Romania. The research addresses the increasingly urgent imperative of sustainable water resource management within educational settings, in alignment with both European and global priorities. This analysis is based on a comprehensive data set collected in June 2025 from all 392 public pre-university educational institutions in Cluj County, encompassing both urban and rural areas, all educational levels, and all types of institutions. Data was gathered using a standardized questionnaire, which was validated with the official support of the Cluj County School Inspectorate. The quantitative analysis highlights significant urban–rural disparities: 95.566% of urban institutions are equipped with modern meters and connected to public water networks, compared to only 68.254% in rural areas. Water consumption monitoring relies predominantly on invoice data (69.388%), while the adoption of advanced monitoring technologies remains limited. Reported water losses are minimal (1.531%), and only 0.765% of educational institutions have indicated non-compliance issues related to water quality in the past three years. Educational measures and water-saving awareness campaigns are present in 65.562% of institutions, yet only about one-third (32.908%) have implemented dedicated projects or partnerships. The financial analysis reveals that 90.487% of annual water and sewerage costs are borne by urban institutions. The study highlights both the progress achieved and the persistent challenges, particularly in rural infrastructure and the expansion of educational interventions. The results provide a robust empirical basis for informing regional and national policies, supporting targeted investments, integrated educational programs, and continuous monitoring to ensure sustainable water resource management in the Romanian educational system. Full article

Business financing involves supplying funds or capital to initiate, expand, or maintain a business. This study investigates entrepreneurial funding in South Africa, emphasizing microloans, venture capital, and gender-sensitive grants as tools to facilitate inclusive business growth. Using a qualitative desktop research methodology, this study relies on policy documents, institutional reports, and peer-reviewed studies to assess how these funding strategies tackle access barriers for marginalized populations, specifically women, youth, and rural entrepreneurs. Guided by Access to Finance Theory, Gender Finance Theory, and Innovation Ecosystems Theory, this study indicates that microloans offer immediate funding for informal businesses but show minimal long-term effects without additional assistance. Venture capital promotes rapid innovation, yet it is predominantly based in urban regions and unattainable for underrepresented populations. Grants that address gender issues foster equity but are obstructed by institutional fragmentation and insufficient scale. The results highlight the necessity for unified financing frameworks that merge financial and non-financial assistance, facilitating scalable and inclusive business ventures. Policy suggestions involve aligning public financing tools with the National Integrated Small Enterprise Development Masterplan, integrating gender-sensitive budgeting frameworks, and utilizing digital financial platforms to enhance access. Future studies should utilize mixed-methods or longitudinal approaches to assess the ongoing developmental effects of coordinated financing models within the South African setting. Full article

Amid an increasingly complex and uncertain global landscape, geopolitical tensions and frequent trade frictions have emerged as critical external risks threatening the economic stability and sustainable development of Chinese cities. Enhancing cities’ economic resilience has become a key challenge in advancing China’s high-quality development agenda. As a major national strategic initiative, the Belt and Road Initiative (BRI) is expected to offer new development opportunities and pathways for risk mitigation, particularly for cities situated along its domestic routes. This paper examines whether and how the BRI affects the economic resilience of these cities and further explores the moderating role of local governance capacity in policy implementation. To this end, an empirical strategy combining the entropy weighting method and the difference-in-differences (DID) approach is employed to systematically assess the impact of the BRI on urban economic resilience at the city level. The key findings are as follows: (1) The findings show that the BRI has an enhancing effect on the economic resilience of cities along the routes, but governance is very weak, and urban resilience improves by 0.0045 units on average. Our findings imply that, while the BRI appears to be on the correct path, enhanced governance is necessary to implement city-specific planning approaches effectively. (2) The results of the moderating effect indicate that local governance capacity significantly amplifies the impact of the BRI on urban economic resilience, underscoring the critical role of institutional strength in the policy transmission process. (3) The heterogeneity analysis reveals significant regional disparities in policy effectiveness: while the BRI significantly improves economic resilience in eastern and central cities, it exerts a suppressive effect in western regions. This divergence is closely associated with variations in local governance capacity. In contrast, cities with stronger governance capabilities are more likely to experience positive outcomes, as confirmed by the significant moderating effect of local governance capacity. This study contributes to the growing literature on the spatial implications of national development strategies by empirically examining how the BRI reshapes urban economic resilience across regions. It offers important policy insights for enhancing the spatial governance of cities, particularly in aligning strategic infrastructure investment with differentiated local capacities. The findings also provide a valuable reference for land-use planning and regional development policies aimed at building resilient urban systems under conditions of global uncertainty. Full article

The synergistic advancement of “Digital China” and “Beautiful China” represents a pivotal national strategy for achieving high-quality economic development and a low-carbon transition. To illuminate the intrinsic mechanisms linking the digital economy (DE) to urban carbon emission performance (CEP), this study develops a novel two-sector theoretical framework. Leveraging panel data from 278 Chinese prefecture-level cities (2011–2023), we employ a comprehensive evaluation method to gauge DE development and utilize calibrated nighttime light data with downscaling inversion techniques to estimate city-level CEP. Our empirical analysis integrates static panel fixed effects, panel threshold, and moderating effects models. Key findings reveal that the digital economy demonstrably enhances urban carbon emission performance, although this positive effect exhibits a threshold characteristic linked to the maturity of digital infrastructure; beyond a specific developmental stage, the marginal benefits diminish. Crucially, this enhancement operates primarily through the twin engines of fostering technological innovation and driving industrial structure upgrading, with the former playing a dominant role. The impact of DE on CEP displays significant heterogeneity, proving stronger in northern cities, resource-dependent cities, and those characterized by higher levels of inclusive finance or lower fiscal expenditure intensities. Furthermore, the effectiveness of DE in reducing carbon emissions is dynamically moderated by policy environments: flexible economic growth targets amplify its carbon reduction efficacy, while environmental target constraints, particularly direct binding mandates, exert a more pronounced moderating influence. This research provides crucial theoretical insights and actionable policy pathways for harmonizing the “Dual Carbon” goals with the overarching Digital China strategy. Full article

To mitigate persistent urban–rural disparities and facilitate comprehensive rural development, the Chinese government institutionalized the Rural Revitalization Strategy. This national policy framework systematically addresses five critical domains of rural development: (1) industrial revitalization, (2) talent revitalization, (3) organizational capacity building, (4) cultural heritage preservation, and (5) ecological conservation. Among them, talent cultivation serves as both a fundamental objective and critical resource for the sustainable rural economic transformation. However, the existing research and practice have disproportionately emphasized industrial and ecological aspects, largely neglecting the acute talent shortage. This study bridges this gap by adopting a population mobility lens to categorize young talent types contributing to Chinese rural economic transformation and analyze their mobility trajectories and resource exchange dynamics. Drawing on an integrated theoretical framework combining Push–Pull Theory and Existence–Relatedness–Growth Theory, as well as empirical evidences from Yuan Village in Shaanxi Province, this research has four key findings. First, there are three distinct young talent categories that have emerged in Chinese rural economic transformation: urban-to-rural young talents, native young talents, and rural-to-rural young talents. It is noteworthy that the rural-to-rural young talent represents a novel flow pattern that can expand our conventional understandings of Chinese population mobility. Second, differential push–pull factors shape each category’s migration decisions, subsequently influenced by their existence needs, social relatedness, and growth requirements as outlined in ERG Theory. Third, through heterogeneous resource exchanges with villagers, committees, and communities, these talents negotiate their positions and satisfy their expectations within the rural socio-economic system. Fourth, unmet exchange expectations may precipitate talent outflow, which will further pose sustainability challenges to revitalization efforts. Additionally, the long-term impacts of the intensified social interactions between talent groups and local residents, as well as their generalizability, require further examination. Full article

Urban water, defined as water not used for agriculture or to support natural ecosystems, is increasingly impacted by anthropogenic pollution. Among the key concerns are emerging contaminants (ECs), a diverse group of largely unregulated chemical compounds that pose growing threats to both water and the life it supports. This review critically examines the challenges associated with the presence of ECs in urban water through two complementary approaches that together offer both scientific and policy-oriented insights. The first approach focuses on evaluating the difficulties in classifying, characterizing, detecting, monitoring, enforcing policies, and assessing the risks of ECs. The second approach focuses on assessing whether current efforts in research, public awareness, regulation, treatment, recycling, and international collaboration align with the United Nations Sustainable Development Goals (SDGs), particularly SDG 6 (clean water and sanitation), SDG 11 (sustainable cities and communities), and SDG 12 (responsible consumption and production). Current efforts to address the challenges posed by ECs and to achieve SDG targets remain insufficient, particularly in the areas of treatment and recycling. Globally, only 56% of household wastewater is treated safely, and industrial wastewater treatment in low-income countries remains severely lacking, with coverage under 30%. Globally, the effective management of ECs is hindered by outdated and inadequate treatment infrastructure, low recycling rates, and the technical complexity of handling multi-contaminant waste streams. In developing regions, these challenges are compounded by weak regulatory enforcement and limited public awareness. To effectively address ECs in urban water and fully meet the SDG targets, more integrated and globally coordinated efforts are necessary. Full article

Against the backdrop of coordinated development of national land use and ecological conservation, national key development zones (NKDZs), as the core carriers of China’s main functional zone planning, provide important reference models for regional development through their pathways to improving ecological efficiency of land. A double-difference model (DID) was used to evaluate the effects of the NKDZ policy on the eco-efficiency of land use, utilizing county-level governing bodies of the upper Yangtze River region in China as a sample from 2005 to 2020. The findings indicate that (1) when the NKDZs were established, the counties’ eco-efficiency in land use in the upper reaches of the Yangtze River considerably improved by 2.6%; this conclusion holds after several robustness checks, including counterfactual tests. (2) Mechanistic analysis reveals that NKDZs promote the enhancement of eco-efficiency in land use, mainly through the technical effect, the structural effect, and the “two processes” effect of promoting the coordinated development of industrialization and urbanization. (3) Heterogeneity analysis reveals that the policy effects on land-use eco-efficiency in municipal districts and cities at the county level are much greater than those in regular counties. Concerning subdistricts, the policy significantly promotes Sichuan, Guizhou, and Chongqing, whereas the effect on Yunnan is not significant. In light of the aforementioned findings, this study makes policy recommendations in terms of technological innovation, structural optimization, and differentiated land control to offer a practical foundation and theoretical justification for the effective use of land and ecological pressure alleviation within NKDZs. Full article

The implementation of Vertical Greening Systems (VGS), like green façades, on historic building facades is approached with caution due to concerns regarding material compatibility, visual impact, and potential compromises to cultural significance. However, VGS can offer significant contributions to urban sustainability when integrated with knowledge and care of historic buildings by reducing the urban heat island effect, improving air quality, fostering a green economy, and creating greener environments. These tensions highlight a critical research gap: how can VGS contribute to urban sustainability while respecting the values of historic building façades? This study addresses this gap by exploring professional interest groups’ opinions on implementing VGS on historic buildings, focusing on the perceived benefits and concerns from environmental, social, economic, cultural, legal, and technical aspects. A mixed-methods approach was employed, combining the findings from the literature review with a survey targeting individuals involved in VGS implementations or heritage conservation. The survey included both open- and closed-ended questions. Of the 165 individuals contacted, 83 valid responses were analyzed. Results from the open-ended questions showed that 89% of respondents recognized the environmental benefits of VGS, while 85% raised technical issues, particularly regarding material compatibility. An important insight emerged from comparing open-ended and closed-ended responses: respondents were more likely to acknowledge the benefits of VGS when prompted. This indicates that raising awareness about the use of VGS on historic buildings is essential. The findings offer practical implications for early-stage planning, stakeholder engagement, and the design of heritage conservation policy. They illustrate a need for an informed decision-making process for the integration of VGS onto historic building facades, aligning with conservation ethics and urban sustainability. Preface: This study aims to create a discussion on the potential synergies between vertical greening and historic buildings, with the intention of guiding future conservation strategies to enhance urban sustainability. We do not advocate for vertical greenery as a universal solution, but rather seek to explore under which conditions vertical greening may be compatible with conservation practice. For the purposes of this study, “historic buildings” refer to structures that possess cultural, architectural, or historical significance, whether they are formally protected or informally valued by their communities. We acknowledge that the term may vary in meaning across different national and cultural contexts. Moreover, our analysis focuses on cases where both the vertical greening and historic façades are presumed to be in structurally sound and well-maintained condition. Full article

Climate change has magnified health disparities across the Southern African Development Community (SADC) region by destabilizing the critical natural systems, which include water security, food production, and disease ecology. The IPCC (2007) underscores the disproportionate impact on low-income populations characterized by limited adaptive capacity, exacerbating existing vulnerabilities. Rising temperatures, erratic precipitation patterns, and increased frequency of extreme weather events ranging from prolonged droughts to catastrophic floods have created favourable conditions for the spread of waterborne diseases such as cholera, dysentery, and typhoid, as well as the expansion of vector-borne diseases zone also characterized by warmer and wetter conditions where diseases like malaria thrives. This study employed a comparative analysis of climate and health data across Malawi, Zimbabwe, Mozambique, and South Africa examining the interplay between climatic shifts and disease patterns. Through reviews of national surveillance reports, adaptation policies, and outbreak records, the analysis reveals the existence of critical gaps in preparedness and response. Zimbabwe’s Matabeleland region experienced a doubling of diarrheal diseases in 2019 due to drought-driven water shortages, forcing communities to rely on unsafe alternatives. Mozambique faced a similar crisis following Cyclone Idai in 2019, where floodwaters precipitated a threefold surge in cholera cases, predominantly affecting children under five. In Malawi, Cyclone Ana’s catastrophic flooding in 2022 contaminated water sources, leading to a devastating cholera outbreak that claimed over 1200 lives. Meanwhile, in South Africa, inadequate sanitation in KwaZulu-Natal’s informal settlements amplified cholera transmission during the 2023 rainy season. Malaria incidence has also risen in these regions, with warmer temperatures extending the geographic range of Anopheles mosquitoes and lengthening the transmission seasons. The findings underscore an urgent need for integrated, multisectoral interventions. Strengthening disease surveillance systems to incorporate climate data could enhance early warning capabilities, while national adaptation plans must prioritize health resilience by bridging gaps between water, agriculture, and infrastructure policies. Community-level interventions, such as water purification programs and targeted vector control, are essential to reduce outbreaks in high-risk areas. Beyond these findings, there is a critical need to invest in longitudinal research so as to elucidate the causal pathways between climate change and disease burden, particularly for understudied linkages like malaria expansion and urbanization. Without coordinated action, climate-related health inequalities will continue to widen, leaving marginalized populations increasingly vulnerable to preventable diseases. The SADC region must adopt evidence-based, equity-centred strategies to mitigate these growing threats and safeguard public health in a warming world. Full article

Over the past 30 years, the City of Portland, Oregon, USA, has emerged as a national leader in green stormwater infrastructure (GSI). The initial impetus for implementing sustainable stormwater infrastructure in Portland stemmed from concerns about flooding and water quality in the city’s two major rivers, the Columbia and the Willamette. Heavy rainfall often led to combined sewer overflows, significantly polluting these waterways. A partial solution was the construction of “The Big Pipe” project, a large-scale stormwater containment system designed to filter and regulate overflow. However, Portland has taken a more comprehensive and long-term approach by integrating sustainable stormwater management into urban planning. Over the past three decades, the city has successfully implemented GSI to mitigate these challenges. Low-impact development strategies, such as bioswales, green streets, and permeable surfaces, have been widely adopted in streetscapes, pathways, and parking areas, enhancing both environmental resilience and urban livability. This perspective highlights the history of the implementation of Portland’s GSI programs, current design and performance standards, and challenges and lessons learned throughout Portland’s recent history. Innovative approaches to managing runoff have not only improved stormwater control but also enhanced green spaces and contributed to the city’s overall climate resilience while addressing economic well-being and social equity. Portland’s success is a result of strong policy support, effective integration of green and gray infrastructure, and active community involvement. As climate change intensifies, cities need holistic, adaptive, and community-centered approaches to urban stormwater management. Portland’s experience offers valuable insights for cities seeking to expand their GSI amid growing concerns about climate resilience, equity, and aging infrastructure. Full article

This study focuses on cultural and urban development policies under China’s 14th Five-Year Plan, exploring the content and semantic structure of discussions on the “East Asian Cultural Capital” project on the Weibo platform. It analyzes how national cultural development policies are reflected in the discourse system related to the “East Asian Cultural Capital” on social media and emphasizes the guiding role of policies in the dissemination of online culture. When China announced the 14th Five-Year Plan in 2021, the strategic direction and policy framework for cultural development over the five-year period from 2021 to 2025 were clearly outlined. This study employs text mining and semantic network analysis methods to analyze user-generated content on Weibo from 2023 to 2024, aiming to understand public perception and discourse trends. Word frequency and TF-IDF analyses identify key terms and issues, while centrality and CONCOR clustering analyses reveal the semantic structure and discourse communities. MR-QAP regression is employed to compare network changes across the two years. Findings highlight that urban cultural development, heritage preservation, and regional exchange are central themes, with digital media, cultural branding, trilateral cooperation, and cultural–economic integration emerging as key factors in regional collaboration. Full article

The phenomenon of arable land non-agriculturalization has become increasingly severe, posing significant threats to the security of arable land resources and ecological sustainability. This study focuses on Dachang Hui Autonomous County in Langfang City, Hebei Province, a region located at the edge of the Beijing–Tianjin–Hebei metropolitan cluster. In recent years, the area has undergone accelerated urbanization and industrial transfer, resulting in drastic land use changes and a pronounced contradiction between arable land protection and the expansion of construction land. The study period is 2016–2023, which covers the key period of the Beijing–Tianjin–Hebei synergistic development strategy and the strengthening of the national arable land protection policy, and is able to comprehensively reflect the dynamic changes of arable land non-agriculturalization under the policy and urbanization process. Multi-temporal Sentinel-2 imagery was utilized to construct a multi-dimensional feature set, and machine learning classifiers were applied to identify arable land non-agriculturalization with optimized performance. GIS-based analysis and the geographic detector model were employed to reveal the spatio-temporal dynamics and driving mechanisms. The results demonstrate that the XGBoost model, optimized using Bayesian parameter tuning, achieved the highest classification accuracy (overall accuracy = 0.94) among the four classifiers, indicating its superior suitability for identifying arable land non-agriculturalization using multi-temporal remote sensing imagery. Spatio-temporal analysis revealed that non-agriculturalization expanded rapidly between 2016 and 2020, followed by a deceleration after 2020, exhibiting a pattern of “rapid growth–slowing down–partial regression”. Further analysis using the geographic detector revealed that socioeconomic factors are the primary drivers of arable land non-agriculturalization in Dachang Hui Autonomous County, while natural factors exerted relatively weaker effects. These findings provide technical support and scientific evidence for dynamic monitoring and policy formulation regarding arable land under urbanization, offering significant theoretical and practical implications. Full article