Search Results (358)

Strengthening climate resilience constitutes a foundational approach through which cities adapt to climate change and mitigate associated environmental risks. However, research on the influence of economic policy environments on climate resilience remains limited. Guided by institutional theory and dynamic capability theory, this study employs a panel dataset comprising 272 Chinese cities at the prefecture level and above, covering the period from 2009 to 2023. It constructs a composite index framework for evaluating the green business environment (GBE) and urban climate resilience (UCR) using the entropy weight method. Employing a two-way fixed-effect regression model, it examined the impact of GBE optimization on UCR empirically and also explored the underlying mechanisms. The results show that improvements in the GBE significantly enhance UCR, with green innovation (GI) in technology functioning as an intermediary mechanism within this relationship. Moreover, climate policy uncertainty (CPU) exerts a moderating effect along this transmission pathway: on the one hand, it amplifies the beneficial effect of the GBE on GI; on the other hand, it hampers the transformation of GI into improved GBEs. The former effect dominates, indicating that optimizing the GBE becomes particularly critical for enhancing UCR under high CPU. To eliminate potential endogenous issues, this paper adopts a two-stage regression model based on the instrumental variable method (2SLS). The above conclusion still holds after undergoing a series of robustness tests. This study reveals the mechanism by which a GBE enhances its growth through GI. By incorporating CPU as a heterogeneous factor, the findings suggest that governments should balance policy incentives with environmental regulations in climate resilience governance. Furthermore, maintaining awareness of the risks stemming from climate policy volatility is of critical importance. By providing a stable and supportive institutional environment, governments can foster steady progress in green innovation and comprehensively improve urban adaptive capacity to climate change. Full article

Improving the green innovation quality (GIQ) of center cities is crucial to achieve sustainable urban agglomeration development. Utilizing data on green patent citations and economic indicators across cities in the Yangtze River Delta urban agglomeration (YRD) from 2003 to 2022, this research examines the influence of center cities’ GIQ on the economic performance of peripheral municipalities. The results show the following: (1) Center cities’ GIQ exerts a significant suppressive effect on peripheral cities’ economic growth overall. Heterogeneity analysis uncovers a distance-dependent duality. GIQ stimulates growth in proximate cities (within 300 km) but suppresses it beyond this threshold. This spatial siphoning effect is notably amplified in national-level center cities. (2) Mechanisms suggest that GIQ accelerates the outflow of skilled labor in peripheral cities through factor agglomeration and industry transfer mechanisms. Concurrently, it impedes the gradient diffusion of urban services, collectively hindering peripheral development. (3) Increased government green attention (GGA) and industry–university–research cooperation (IURC) in centers can mitigate these negative impacts. This paper contributes to the theoretical discourse on center cities’ spatial externalities within agglomerations and offers empirical support and policy insights for the exertion of spillover effects of high-quality green innovation from center cities and the sustainable development of urban agglomeration. Full article

The intersection of green finance and artificial intelligence (AI) represents a rapidly emerging and high-impact research domain with the potential to reshape sustainable economic systems. This study presents a comprehensive bibliometric and network analysis aimed at mapping the scientific landscape, identifying research hotspots, and highlighting methodological trends at this nexus. A dataset of 268 peer-reviewed publications (2014–June 2025) was retrieved from the Web of Science Core Collection, filtered by the Business Economics category. Analytical techniques employed include Bibliometrix in R, VOSviewer, and science mapping tools such as thematic mapping, trend topic analysis, co-citation networks, and co-occurrence clustering. Results indicate an annual growth rate of 53.31%, with China leading in both productivity and impact, followed by Vietnam and the United Kingdom. The most prolific affiliations and authors, primarily based in China, underscore a concentrated regional research output. The most relevant journals include Energy Economics and Finance Research Letters. Network visualizations identified 17 clusters, with focused analysis on the top three: (1) Emission, Health, and Environmental Risk, (2) Institutional and Technological Infrastructure, and (3) Green Innovation and Sustainable Urban Development. The methodological landscape is equally diverse, with top techniques including blockchain technology, large language models, convolutional neural networks, sentiment analysis, and structural equation modeling, demonstrating a blend of traditional econometrics and advanced AI. This study not only uncovers intellectual structures and thematic evolution but also identifies underdeveloped areas and proposes future research directions. These include dynamic topic modeling, regional case studies, and ethical frameworks for AI in sustainable finance. The findings provide a strategic foundation for advancing interdisciplinary collaboration and policy innovation in green AI–finance ecosystems. Full article

Urbanization’s environmental challenges have increased interest in urban biodiversity, traditionally focused on public green spaces, which are shrinking as urban growth escapes government control. This study examines the understudied role of private actors—specifically Concessions held by Catholic Religious Groups (CRGs)—in biodiversity conservation across three DRC cities (Bukavu, Kisangani, Lubumbashi). CRGs were selected due to Catholicism’s dominance and socio-economic influence in the DRC. A systematic flora inventory of 70 randomly sampled CRGs identified 220 species from 76 families and 185 genera. Although the CRG area was smaller in Lubumbashi (1.1 ha) than Bukavu (3.7 ha) and Kisangani (5.2 ha), the area did not correlate with species richness. Plant composition varied significantly within and between cities, dominated by phanerophytes and exotic species. These findings underscore the importance of including private stakeholders in urban biodiversity conservation. Full article

With the development of urban scale and economic growth, the challenges posed by limited resources and insufficient environmental carrying capacity become increasingly severe, making the sustainable improvement of production efficiency an urgent requirement. Based on panel data for cities in the Dianzhong Urban Agglomeration and the Chengdu–Chongqing Economic Circle in Southwest China (2012–2021), this study elucidates the positive effect of urban compactness on green total factor productivity (GTFP). By constructing a composite index to measure urban compactness and employing an SBM model to quantify GTFP, we find that a 1% increase in urban compactness leads to a 0.65% increase in GTFP. A mediating-effect analysis reveals that green technological innovation serves as a significant mediator, with a mediating effect value of 0.363. Heterogeneity analysis uncovers differing mechanisms of influence: urban compactness exerts a positive effect in regions with higher levels of economic development, while its impact is not significant in regions with lower economic development, indicating that the effect of compactness varies with economic context; the impact of urban compactness on GTFP is statistically insignificant in regions with higher tertiary sector shares (p > 0.1), whereas it exhibits a highly significant positive effect in regions with lower tertiary sector presence (β = 1.49, p < 0.01). These results collectively demonstrate that the influence of urban compactness on GTFP varies significantly with industrial structure composition. Threshold-effect analysis further shows that there is a threshold in the proportion of industrial output value, beyond which the influence of compactness on GTFP becomes even stronger. Our research quantitatively explores both linear and nonlinear relationships between urban compactness and GTFP, clarifying the linkage between urban spatial dynamics and green production efficiency, and provides empirical evidence and scholarly support for urban planning and economic development. Full article

Cities are the growth engines responsible for shaping the global economy, major contributors to climate change, and are significantly affected by it. However, the United Nations adopted the Sustainable Development Goals (SDGs) to make these cities and human settlements inclusive, safe, resilient, and sustainable. Yet, the rapid and unplanned urban expansion exacerbates various environmental challenges and reduces green cover in urban areas. To address these issues and meet the SDGs, stakeholders need to emphasise and optimise urban spaces. This study investigates the borough-level analysis of green spaces and human exposure to green spaces across London using satellite-derived datasets on vegetation and socio-economic factors to examine the variations in urban vegetation cover and urban population exposure to vegetation cover between 2017 and 2024. This study highlights the spatial disparity in green space coverage and exposure to green space between the inner and outer boroughs of London. The methodology used here suggests an average loss of approximately 11 and 9 percent in green space coverage and green space exposure to population, respectively, between 2017 and 2024 across London boroughs. Full article

The coupled development of economic and ecological systems is crucial for achieving sustainable growth, with the financial system playing a pivotal adaptive role. Green financial innovation (GFI) is central to enhancing this adaptation. Urban land use eco-efficiency (ULUEE) serves as an effective measure of economic–ecological coupling. Using China’s Green Finance Reform and Innovation Pilot Zones (GFRPZs) as a quasi-natural experiment, this study assesses the impact of GFI on ULUEE, employing panel data from 283 prefecture-level cities (2013–2021). The results show that GFI significantly enhances ULUEE through technological spillovers, strengthened environmental regulation, industrial upgrading, and resource agglomeration. Heterogeneity analyses further reveal that GFI’s positive effects are more pronounced in economically developed regions, cities without legacy heavy-industry reliance, and those with deeper financial development. Additionally, GFI demonstrates cross-regional spillover effects, effectively interacting with other environmental policies. While GFI’s impact is more pronounced in economic growth, its ecological governance improvements are modest. This study provides critical insights for tailored green financial policies aimed at harmonizing economic and ecological objectives. Full article

Amid growing environmental concerns and an increasing push for sustainable development, countries in the Middle East and North Africa (MENA) region have taken proactive steps toward green growth, energy transition, and technological innovation. As a result, this study examines the effects of green growth, energy transition, technological innovation, financial inclusion, and urbanization on environmental sustainability in the Middle East and North Africa (MENA) region. Moreover, this study breaks new ground by exposing the hidden environmental costs of financial inclusion, urbanization, and technological innovation in the MENA region’s development trajectory, thereby providing compelling evidence for rethinking sustainability through an integrated approach that aligns economic ambition with ecological responsibility. Data for the studied variables were sourced from the World Bank database covering the period 1990 to 2021. The results show that green growth and energy transition significantly reduce CO₂ emissions, supporting the idea that economic expansion aligned with environmental priorities can contribute to ecological improvement. However, the impact of technological innovation is statistically insignificant, indicating that innovation in the region has not yet translated into meaningful environmental gains, possibly due to the dominance of non-green or industrial-focused innovation. Financial inclusion is found to increase CO₂ emissions, likely by facilitating greater access to credit and financial services that fuel energy-intensive consumption and production activities. Similarly, urbanization also contributes to rising emissions, reflecting the unsustainable nature of urban growth in many MENA region. Based on this study, we advocate for a coordinated regional approach to climate and energy policy, underpinned by shared governance and collective action. Full article

Under the impetus of the global urbanization, the synergistic relationship between smart city policies and green innovation capabilities has emerged as a critical agenda for achieving sustainable development goals. While existing studies have explored the techno-economic effects of smart cities, systematic evidence remains scarce regarding their pathways and heterogeneous impacts on green growth. This study investigates the influence of smart city pilot policies on urban green growth trajectories and their heterogeneous characteristics. Leveraging panel data from 293 Chinese prefecture-level cities, we employ a multi-period difference-in-differences (DID) model with two-way fixed effects to control for unobserved city-specific and time-specific factors, complemented by robustness checks including parallel trend tests, placebo tests, and alternative dependent variable specifications. Data sources encompass the China City Statistical Yearbook, CNRDS, and CSMAR databases, covering core metrics such as green patent applications and grants, industrial upgrading indices, and environmental regulation intensity, with missing values being addressed via mean imputation. The findings demonstrate that smart city pilot policies significantly enhance green innovation levels in treated cities, with effects exhibiting pronounced spatial and resource-based heterogeneity; there are notably stronger impacts in non-resource-dependent cities and eastern regions. Mechanism analysis shows that policies are driven by a dual effect of industrial upgrading and environmental regulation. The former is manifested by the high substitution elasticity of the digital economy for traditional manufacturing, while the latter is reflected in the rising compliance costs of polluting enterprises. This research advances a cross-nationally comparable theoretical framework for understanding green transition mechanisms in smart city development while providing empirical benchmarks for policy design in emerging economies. Full article

In the face of increasingly complex urban challenges, a critical question arises: can urban ecosystems maintain resilience, vitality, and sustainability when confronted with external threats and pressures? Taking Kunming—a plateau-mountainous city in China—as a case study, this research constructs an urban ecosystem resilience (UER) assessment model based on the DPSIR (Driving forces, Pressures, States, Impacts, and Responses) framework. A total of 25 indicators were selected via questionnaire surveys, covering five dimensions: driving forces such as natural population growth, annual GDP growth, urbanization level, urban population density, and resident consumption price growth; pressures including per capita farmland, per capita urban construction land, land reclamation and cultivation rate, proportion of natural disaster-stricken areas, and unit GDP energy consumption; states measured by Evenness Index (EI), Shannon Diversity Index (SHDI), Aggregation Index (AI), Interspersion and Juxtaposition Index (IJI), Landscape Shape Index (LSI), and Normalized Vegetation Index (NDVI); impacts involving per capita GDP, economic density, per capita disposable income growth, per capita green space area, and per capita water resources; and responses including proportion of natural reserve areas, proportion of environmental protection investment to GDP, overall utilization of industrial solid waste, and afforestation area. Based on remote sensing and other data, indicator values were calculated for 2006, 2011, and 2016. The entire-array polygon indicator method was used to visualize indicator interactions and derive composite resilience index values, all of which remained below 0.25—indicating a persistent low-resilience state, marked by sustained economic growth, frequent natural disasters, and declining ecological self-recovery capacity. Forecasting results suggest that, under current development trajectories, Kunming’s UER will remain low over the next decade. This study is the first to integrate the DPSIR framework, entire-array polygon indicator method, and Grey System Forecasting Model into the evaluation and prediction of urban ecosystem resilience in plateau-mountainous cities. The findings highlight the ecosystem’s inherent capacities for self-organization, adaptation, learning, and innovation and reveal its nested, multi-scalar resilience structure. The DPSIR-based framework not only reflects the complex human–nature interactions in urban systems but also identifies key drivers and enables the prediction of future resilience patterns—providing valuable insights for sustainable urban development. Full article

Assessing the ecological environmental quality (EEQ) is crucial for protecting the environment. Dhaka’s rapid, unplanned urbanization, driven by economic and social growth, poses significant eco-environmental challenges. Spatiotemporal ecological and environmental quality changes were assessed using remote sensing based ecological index (RSEI) maps derived from Landsat images (1993, 2003, 2013, and 2023). RSEI was based on four indicators—greenness (NDVI), heat index (LST), dryness (NDBSI), and wetness (LSM). Landsat 5 TM and 8 OLI/TIRS images were processed on Google Earth Engine (GEE), with principal component analysis (PCA) applied to determine RSEI. The findings showed a decline in the overall RSEI (1993–2023), with low- and very low-quality areas increasing by about 39% and high- and very high-quality areas decreasing by 24% of the total area. NDBSI and LST were negatively correlated with RSEI, except in 1993, while NDVI and LSM were generally positive but negative in 1993. The global Moran’s I (0.88–0.93) indicated strong spatial correlation in the distribution of EEQ across Dhaka. LISA cluster maps showed high-high clusters in the northeast and east, while low-low clusters were concentrated in the northwest. This research examines the degradation of ecological conditions over time in Dhaka and provides valuable insights for policymakers to address environmental issues and improve future ecological management. Full article

Essential research is required to assist several developing countries in transforming urban areas into sustainable cities by providing an assessment tool that covers the environmental, economic, and social pillars of sustainability. Hence, this study introduces a novel sustainable-based model by assigning scores to the sustainable development goals (SDGs) for maintaining inclusive, safe, and resilient cities in developing nations. Quantitative and qualitative data were collected to describe 50 sustainable indicators of 27 cities, representing Egypt’s diverse urban environments from 2012 to 2022. These indicators and SDG scores were used to classify the cities into “Low”, “Medium”, and “High” based on their progress toward achieving sustainability performance. Most coastal and inland cities depicted a “High” scoring performance regarding the advanced maritime infrastructure, farming market size, and cultural tourism context. Built-up area, population growth, green urban area, and economy were considered the main indicators influencing the SDG#11 “Sustainable cities” annual variation. The SDG-based model was employed to create different scenarios to improve SDG#11 fulfillment, showing the importance of investing in the agribusiness sector to raise the gross domestic product. The study outputs were beneficial in guiding most resource-constrained countries to establish the “Sustainable city” concept under the SDGs umbrella. Full article

Green growth, as a universal objective in the pursuit of sustainable development, represents a critical pathway for harmonizing economic expansion with sustainability. Within this context, government environmental auditing emerges as a pivotal mechanism for advancing the modernization of national governance systems and enhancing regulatory capacity, thereby playing an indispensable role in accelerating green transformation. This study regards green economy as a proxy variable for green development. Using panel data of cities at prefecture level and above in China from 2012 to 2021, based on the performance audit of key energy-saving and environmental protection funds conducted by the National Audit Office in 18 provinces in 2017, adopts a quasi-natural experiment method, and uses the propensity score matching double difference method (PSM-DID) to examine the impact on green development. The findings indicate that such audits significantly enhance green economy levels in audited cities. This governance instrument fosters green innovation and facilitates industrial structural optimization, reinforcing its regulatory effectiveness. Furthermore, fiscal decentralization is found to moderate the relationship between environmental performance audits and urban green economic outcomes. Additional analysis reveals that the positive impact of government environmental auditing on green economy levels is more pronounced in cities characterized by lower fiscal transparency and stricter environmental regulations. By extending the research frontier of environmental auditing through the lens of fund performance evaluation, this study offers both theoretical insights and empirical evidence to support urban green development and promote sustainable economic transitions in both developing and developed economies. Full article

Addressing carbon lock-in is essential for facilitating economic transformation and sustainable, low-carbon growth in the Yangtze River Delta (YRD) region. This study establishes a multidimensional evaluation framework to assess carbon lock-in levels and explores its spatio-temporal evolution as well as key drivers within the YRD urban agglomeration. Findings indicate a general decline in carbon lock-in across the region, with diminishing disparities among cities. While industrial lock-in, technological lock-in, and institutional lock-in have shown a weakening trend, social behavioral lock-in has intensified. Initially, higher levels of carbon lock-in were concentrated in less developed cities, though this concentration has steadily decreased, whereas more developed cities consistently exhibited lower lock-in levels. The carbon intensity of fixed assets and carbon emission intensity have emerged as the primary barrier factors contributing to carbon lock-in. Additionally, socio-economic factors and digital technology innovations are the main influences on carbon lock-in. These insights provide guidance for policy efforts to mitigate carbon lock-in and support for advancing green integrated development strategies in the YRD region. Full article

The realities of climate change are here, and in the absence of encompassing U.S. federal policies directing action, it is left to the states to help set our course for the future. At the forefront of state action is Michigan, which in 2023 passed sweeping legislation requiring the state to achieve climate neutrality, a significant investment in electric vehicle infrastructure, and a commitment to environmental justice. The bold climate-forward actions by the state have been described by many as vaulting the state of Michigan into a national leader on climate policy. This perspective uses Michigan’s novel collection of climate-related policies to examine the connections between infrastructure, environmental justice, and climate change in Michigan. The legislation was passed with strong Democratic support, but Republicans and some environmentalists are concerned about the feasibility of the state to implement the legislation, especially when some states like California are having to back down from their green energy goals. We find that the legislation focuses on the triple bottom line by supporting economic growth in the state, advancing the interests of rural and urban communities alike, and embracing ambitious environmental goals. Michigan is already seeing successful implementation of this policy, and the lessons of this action can help provide a roadmap for other states seeking to move forward on climate policy. This novel perspective demonstrates the unique qualities Michigan is bringing to climate legislation, and the newness of the policies opens new research opportunities for a variety of scholarship interests. Full article