Regional Perspective Research Articles

MEASUREMENT AND CHARACTERISTIC ANALYSIS OF SKELETAL GEOMETRIC PARAMETERS IN CHINESE HUMANS

Problem: Significant differences exist between the body dimensions of Chinese and Western individuals, and these differences affect the injury characteristics of passengers in traffic accidents. Most current parametric finite element human models are based on Western body data, which does not adequately assess the injury risks for Chinese individuals. Therefore, it is imperative to establish a digital model that reflects the anatomical features of Chinese humans. This requires comprehensive anthropometric data specific to the Chinese population. Aim: This study aims to collect and analyze skeletal geometric parameters from various representative regions in China across different age groups to fill the gap in Chinese anthropometric data. Additionally, it seeks to explore regional and age-related differences in these parameters, providing a scientific basis for developing finite element models that reflect the characteristics of the Chinese population. Methods: Clinical CT data of skeletal geometric parameters were collected from 224 individuals across seven representative regions of China, including parameters of the head, chest, and lower limbs. Descriptive statistics, K-W tests, and U-tests were used to analyze regional differences. Spearman correlation and linear regression analyses were employed to assess the impact of age. Furthermore, weighted averages and weighted variances of skeletal geometric parameters were calculated to reflect the characteristics of individuals from various regions across the country, which will be applied in the development of Chinese human models. Results: The results indicate significant regional differences in the skeletal geometric parameters of Chinese individuals, exhibiting regional patterns between the north–south and east–west areas. While skeletal geometric parameters showed significant differences with age, no clear statistical pattern was observed. Conclusion: This study systematically extracts and analyzes the skeletal geometric parameters of the Chinese population from regional and age perspectives for the first time. These data will be applied in the development of Chinese human models, providing crucial support for improving passenger safety in traffic accidents, enhancing vehicle safety design, and establishing anthropometric standards suitable for the Chinese context.

HOW DOES NATURE AFFECT COMPETITIVENESS AND INNOVATION?

The aim is to strengthen the understanding of nature as an attribute of competitiveness and innovation from a regional perspective. A dialectical relationship is used to consider competitiveness, innovation, and nature as interconnected and not separated dimensions. The expansion of the sugarcane frontier in the south of the Brazilian state of Goiás is taken as empirical evidence. The method compares two municipalities, Mineiros and Goiatuba, with similar economic structures but located respectively in unfavorable and favorable environments. While Mineiros is less competitive than Goiatuba, the challenge of producing sugarcane in soils with higher erodibility stimulated investments in knowledge creation. Keywords: Competitiveness, Regional Innovation, Nature, Sugarcane, Brazil.

Treating chronic HCV infection in children: challenges and regional perspectives

The article discusses the treatment of chronic form of viral hepatitis C (HVGS) in children. Many problems of the issue under consideration relate to both the scarcity of official statistics and the ambiguity of approaches to the treatment of HVGS in children in our country and abroad. The authors show the most problematic loci from various aspects: from the side of epidemiology and clinical points of view - infectology, clinical pharmacology, and also proposed rational ways to solve existing problems.

Bilateral value chain reshaping through regional trade agreements deepening: Evidence from belt and road countries

This paper investigates the impact of Regional Trade Agreements (RTAs) on the reshaping of value chains from both domestic and regional perspectives by using national-level data from the Belt and Road countries. The findings indicate that the depth of RTAs among Belt and Road countries can not only enhance regional integration characterized by regional value chain inter-connections and promote the value chain upgrading of trading partners in the regional production system, but also facilitates the construction of domestic value chains, thus forming a new pattern of bilateral value chain reshaping. The conclusions still hold after addressing the potential endogeneity and robustness concerns. Mechanism test results show that the effects of productivity enhancement and institutional quality improvement are important channels for RTAs-deepening to promote value chain reshaping. Heterogeneity test results indicate that ‘WTO-X’ provisions of RTAs are more conducive to promoting value chain reshaping, and the promoting effect of RTAs-deepening on value chain reshaping is more significant for the manufacturing industry. These findings have important policy implications to further expand high-level opening-up, deepen RTAs provisions and actively participate in global governance.

Evaluating water quality of rock glacier outflows in the Western Alps, Italy: a regional perspective.

Intact rock glaciers (RG) are considered valuable water storage because containing permafrost ice volumes. The hydrological relevance of RG is forecasted to increase with respect to glaciers under climate change scenarios, as well as RG's role as water resources in alpine basins for multiple uses. Besides the assessment of water amount stored in intact rock glaciers, the evaluation of water quality is of primary importance. Here, we present the results of a chemical survey performed on five outflows from intact RG in 2020-2023 in the Piedmont region, Western Alps, Italy, along a latitudinal gradient and in different geological settings. The survey aimed to assess the water quality of RG outflows based on chemical indicators (major ions, nutrients, trace metals). Sampling and analyses were performed according to standard methods for freshwater samples, paying specific attention to the analytical quality and consistency of the data. We considered seasonal and interannual variability of the main chemical variables and the possible effects of RG outflows on the chemistry of lakes and ponds located in proximity to the RG. All the investigated sites were characterized by low to moderate ion content, low nutrients, and trace metals close to or below the detection limit, indicating a good water quality status. Results suggested lithology as the main factor affecting the chemical composition of RG outflows. The results of this study indicate it is advisable to develop shared protocols and joint monitoring programs for data collecting at RG outflow sites all over the Alps, possibly integrating chemical and biological indicators, with the final aim of monitoring the water quality of these valuable resources and its temporal evolution under climate change.

Public health rapid response in managing COVID-19 outbreaks in residential aged care facilities: a regional public health unit perspective.

We describe here the impact of managing coronavirus disease 2019 (COVID-19) outbreaks, during January-August 2022, in residential aged care facilities (RACFs) in Central Queensland, Australia, following the deployment of a public health rapid response team (PHRRT, comprising a medical officer, a communicable disease nurse, and an epidemiologist) from a regional public health unit (PHU). Our existing vaccine preventable diseases surveillance framework was used in identifying any symptomatic resident, triggering a PHRRT response. We found that the Hospital in the Home (HiTH) admission and death events were significantly lower after the introduction of the PHRRT than in the outbreaks that occurred before. Based on our experience with a PHRRT-led approach in mitigating the burden of outbreaks, we recommend regular reflection on optimising resources and practices in RACFs. Effective communication from PHUs can improve the RACFs' preparedness and capacity to respond, and can inform the best practice model to protect the highly susceptible elderly residents and their staff.

Exploring the Spatial-Temporal Patterns, Drivers, and Response Strategies of Desertification in the Mu Us Desert from Multiple Regional Perspectives

Desertification poses a serious threat to the global ecological environment and challenges the achievement of an ecological civilization. Understanding the spatial and temporal evolution of desertification in the Mu Us Desert, a key area in northern China, is crucial for predicting regional trends and analyzing causes. This study employs quantitative methods, including remote sensing data from Landsat satellites (2000–2020), combined with multi-scale analysis and statistical models, to systematically analyze desertification trends. The analysis reveals that desertification improved significantly after 2005 due to effective human intervention and governance efforts. In particular, the eastern regions (Shaanxi Province and Inner Mongolia) showed marked improvement, while the western regions exhibited limited change. The greatest progress was seen in the reduction in high-desertification areas to moderate levels. Quantitatively, human activities contributed to a 17.3% reduction in desertification (p < 0.05), while meteorological factors were responsible for a 45.8% reduction (p < 0.05). Conversely, desertification in Ningxia worsened by 41.8% due to unsustainable land use. Additionally, spatial correlation analysis highlighted that those areas of severe desertification became more uniformly distributed over time. The key drivers influencing desertification were agricultural development, urbanization, climate warming, and vegetation coverage, with human activities playing a substantial role. Initially, agricultural factors had the strongest correlation with desertification, but over time, population growth, rising temperatures, and vegetation cover (NDVI) became more prominent. These findings offer scientific support for desertification control in the Mu Us Desert and provide methodological insights for other severely desertified regions, contributing to sustainable ecological development.

Impact of Climate Change on Peach Fruit Moth Phenology: A Regional Perspective from China.

It is widely recognized that the phenology of insects, of which the life activities are closely tied to temperature, is shifting in response to global climate warming. This study aimed to investigate the impacts of climate change on the phenology of Carposina sasakii Matsumura, 1900 (Lepidoptera: Carposinidae) across large temporal and spatial scales, through collecting and systematically analyzing historical data on the pest's occurrence and population dynamics in China. The results showed that for overwintering adults, the first occurrence date in eastern, northwestern, and northern China has significantly advanced, along with the population peak in eastern and northwestern China. At the provincial level, the population peak date in Shandong province has also moved significantly earlier, as well as the population peak date in Shandong and Shaanxi and the end occurrence date in Ningxia. However, the population peak date in Jilin has experienced a delayed trend. For first-generation adults, the first occurrence date in northeastern, eastern, and central China has notably advanced, while the first appearance date in northwestern and northern China has significantly delayed. Additionally, the population peak in northwestern China has experienced significant delays, along with the final occurrence in northeastern and northwestern China. At the provincial level, the first occurrence date in Liaoning, Shandong, and Shanxi has significantly advanced, while Hebei has demonstrated a significant delay. The population peak time in Gansu and Shaanxi has displayed significant delays, and the end occurrence date in Liaoning, Shanxi, and Shaanxi has also shown significant delays. Furthermore, these findings integrated with the Pearson correlation results reveal spatial heterogeneity in C. sasakii's phenological responses to climate warming at both regional and provincial scales. The phenology of C. sasakii and their changing patterns with climate warming vary by geographical location. This study provides valuable information for the future monitoring, prediction, and prevention of peach fruit moths in the context of climate warming.

Analysis Of the Impact of China's Population Age Structure on Residential Commercial Housing Prices

With the intensification of global aging, the impact of changes in population age structure on the real estate market is becoming increasingly significant. This article aims to explore the impact of changes in China's population age structure on the prices of residential commercial housing, to provide a scientific basis for regulating the real estate market. By analyzing data from 30 provinces and cities in China from 2013 to 2022, this article finds that as aging population intensifies and the number of children decreases, both the old-age dependency ratio and the child-age dependency ratio have a negative impact on housing prices. This means that the aging society and the economic pressure of childcare may weaken the demand for home purchases. Household Saving Rate and increase in total population positively drive house prices, while the relationship between per capita income and house prices is not significant. From a regional perspective, the aging population in the eastern region has a significant effect on suppressing housing prices, while the impact is gradually evident in the central region. The western region has a smaller impact and population growth suppresses housing price increases. The study emphasizes the impact of changes in the age structure of the Chinese population on the prices of residential properties and proposes policy recommendations such as improving old-age security and optimizing the housing supply structure to promote the steady development of the real estate market.

THE FORMATİON AND EVOLUTİON OF EURASİAN THOUGHTS AND CONCEPTS

The concept of "Eurasianism" is rooted in the philosophical ideas of the early 20th century, emphasizing the unity of the post-Soviet space and its special, non-Western path of development. Recently, the world order has been put to the test of strength: global challenges put states in front of the need to revise the existing world order, which forms a favorable ground for the implementation of the idea of Eurasianism in a regional perspective. Today, the idea of Eurasianism is institutionalized within the framework of the CIS and the EAEU and is especially relevant in the context of new global challenges (economic instability, changing nature of the international order, epidemiological threat, etc.), which allow us to talk about the emergence of a new world order. The article also examines the development of the Eurasian economy through the prism of the relationship between the processes of globalization and regionalization. Globalization is interpreted as an objective process of internationalization of the world economy, the peculiarities of the involvement of the economies of the Eurasian countries in it are revealed. The subjective side of globalization as a form of economic policy of the developed countries of the world in their own interests and its consequences are shown. The trends of regionalization in the economies of the Eurasian countries are revealed. It is proved that the increasing regionalization objectively leads to a significantly different world order than globalization — to a multipolar world.

Hyperbolic map unravels eight regions in temperature volatility regionalization of Mainland China

Abstract Abrupt temperature volatility has detrimental effects on daily activities, macroeconomic growth, and human health. Predicting abrupt temperature volatility and thus diminishing its negative impacts can be achieved by exploring homogeneous regions of temperature volatility and analyzing the driving factors. To investigate the regionalization of temperature volatility in Mainland China, a network constructed by the cosine similarity of temperature volatility series from Mainland China was embedded in hyperbolic space. Subsequently, we partitioned the network on the hyperbolic map using the critical gap method and then found eight regions in all. Ultimately, a network of communities was constructed while the interaction among communities was quantified. This yields a perspective of temperature volatility regionalization that can accurately reflect factors including altitude, climate type, and the geographic location of mountains. Further analysis demonstrates that the regionalization in the hyperbolic map is distinct from provinces and has a realistic basis: communities in southwest China show strong correlations due to the temperature sensitivity to altitude, and communities in northern China show a convergence in the area of Dingxi, Gansu, mainly owing to the strong temperature sensitivity to climate types. As a consequence, node distributions and community divisions in the hyperbolic map can offer new insights into the regionalization of temperature volatility in Mainland China. The results demonstrate the potential of hyperbolic embedding of complex networks in forecasting future node associations in real-world data.

Barriers and enablers to a coordinated MHPSS response in Lebanon: A case study of the MHPSS Taskforce

During humanitarian crises, under-resourced and overstretched health systems may not be able to fully meet mental health and psychosocial support (MHPSS) needs of affected populations, including refugees, internally displaced persons and host communities. Health system governance is vital to humanitarian health response, but there has been little research on this, particularly for MHPSS. We present a case study of a national MHPSS coordination mechanism (the MHPSS Taskforce) in Lebanon, a country which has experienced multiple crises and hosts over 2 million refugees. The aim was to explore the barriers and enablers facing the MHPSS Taskforce in responding to the needs of displaced and host populations in Lebanon. Interviews were conducted with 34 key stakeholders, including Taskforce members, representatives from non-governmental organisations, United Nations agencies, and government Ministries. Our findings show that the positioning of MHPSS within the humanitarian cluster system acts as a barrier to mounting an effective response, with the MHPSS Taskforce sometimes siloed rather than integrated across clusters. Coordination within the Taskforce was reported to be effective in some respects, but limited by a lack of clarity about its decision-making processes, affiliation, mandate, and inclusion of regional perspectives and key groups such as mental health services users in Lebanon. While the technical capacity of the Taskforce is strong, limited funding and staffing were seen to impact its capacity to effectively oversee the MHPSS response in Lebanon. Key recommendations include: the need for stronger mechanisms and operating procedures for interagency and inter-sectoral collaboration on MHPSS within the humanitarian cluster system; greater clarity on the role of the Taskforce and key Taskforce actors, streamlined reporting channels and greater inclusion of diverse perspectives, particularly mental health service users; and greater financial and human resources within coordination mechanisms to support the national MHPSS response in Lebanon.

Discovering temporal-spatial features of jobs-housing relationship from a regional perspective: A nationwide study

The recent developments in regionalization have redefined the concept of jobs-housing relationship, calling for reexaminations from the regional perspective. This paper studies the temporal and spatial features of jobs-housing relationship and their relations with regional mobility and regional structure in 2258 Quxians (urban districts or rural counties) across China based on 49 months of cellular signaling data. Results show that jobs-housing relationship differ between city types and have seasonal cycles and yearly trends reflecting the rhythm and development of human activity. The temporal variations in jobs-housing relationship are affected by regional mobility, and larger intercity travel volume leads to lower balance level. The spatial variations in jobs-housing relationship are influenced by the form of regional structure, as measured using the Zipf scaling exponent. More polarized regions are less balanced with exceptions in underdeveloped regions. There is an underlying inflection point in jobs-housing relationship that is similar to its long-term average value and reflects regional market equilibrium. This paper contributes to existing literature by providing a big-data driven nationwide jobs-housing study fully aware of the theoretical and practical needs of a regionalizing world. Findings advances our understanding of macroscopic jobs-housing relationship, and offers policy suggestions for governments across the globe.

Testing a spaceborne passive‐microwave severe hail retrieval over Argentina using ground‐based dual‐polarization radar data

AbstractPassive‐microwave hail detection methods rely on the scattering signal produced by large ice hydrometeors. Recently, passive‐microwave hail retrieval methods have been trained by pairing Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Global Precipitation Measurement (GPM) Microwave Imager (GMI) data with United States surface hail reports to present a global hail climatology. In particular, Southeastern South America (SESA) stands out as a hotspot for hail occurrence, more specifically northeastern Argentina. However, the analysis performed with the available ground hail reports in Argentina shows some differences from the available ground hail reports in Argentina, as it locates the most frequent hail storms in the southwestern (Mendoza and Córdoba) and northeastern (Misiones) regions of SESA. To assess the retrieval from a regional perspective, we take a case study approach and focus on polarization‐corrected temperature features (PCTFs) with a detected . We mainly rely on polarimetric weather radars and a hydrometeor identification algorithm (HID) as a proxy for ground truth. Results indicate that the hail retrieval responds mainly to low 37‐GHz polarized corrected (brightness) temperatures (PCTs) and large PCTF area, while HID outputs show that high probabilities of hail also correspond to abundantly suspended graupel. The observed passive‐microwave hail detection hotspot could be influenced by mesoscale convective systems with deep columns of graupel‐sized frozen hydrometeors, common in northeastern Argentina.

Prenatal and postnatal antiviral therapies for the prevention and treatment of congenital cytomegalovirus infections.

Congenital cytomegalovirus infection (cCMV) is the leading infectious cause of sensorineural hearing loss and lifelong neurodevelopmental disabilities. Studies suggest antiviral therapy can prevent fetal infection after maternal primary infection, as well as halt the progression of hearing loss and neurodevelopmental disabilities in newborns with symptomatic cCMV. With growing worldwide momentum on early detection and diagnosis of cCMV, this review describes the exciting recent advances in antiviral therapies in CMV infected pregnant mothers and babies, as well as emerging evidence on anti-CMV vaccines. New opportunities for prenatal and neonatal interventions have driven a rising interest in screening and identification of asymptomatic CMV infection. Routine screening of pregnant women to identify primary infection in first trimester is now advocated in Western Europe but has yet to be examined from a public health perspective in other regions. Evidence is emerging for maternal valaciclovir therapy to prevent fetal infection after a maternal primary CMV infection in the first trimester of pregnancy. For those infants who are born with symptomatic cCMV, a 6-month course of valganciclovir, started within the first 4 weeks of life, and possibly up to 13 weeks of life, is the current recommended therapy. However, there is unclear evidence for the benefit of treatment for asymptomatic cCMV and cCMV with isolated hearing loss. Research to identify more effective antivirals and an effective CMV vaccine continues. More research is needed to determine the region-specific applicability of the new European recommendations for routine CMV screening in pregnancy. Areas of uncertainty in postnatal management include timing of initiation, duration of treatment and identifying pediatric subgroups that benefit from modification of the standard treatment recommendations.

Constructing a Semantic System of Facade Elements for Religious Architecture from a Regional Perspective: A Case Study of Jingzhou

The application of semantics in facade elements mainly involves the association between architectural elements and their cultural, historical, or functional significance. By analyzing the shape, layout, and decoration of various elements (such as windows, doors, decorative patterns) in facades, semantics helps us understand the symbolic meanings and cultural implications behind these design choices. This study selects twenty-eight pavilions and buildings from five temples and Taoist sites in Jingzhou City as the research objects, exploring the composition and patterns of religious architectural facades in Jingzhou through the extraction of structural and decorative elements. The study establishes the “Semantic System of Façade Elements in Jingzhou Religious Architecture”, from which the distinctive characteristics of Jingzhou religious building façades are identified. The study finds that side halls predominantly feature hard gable roofs, while the main halls use double-eave hip-and-gable roofs, reflecting differences in architectural hierarchy. The sack with three arrows pattern is the most widely used in door and window decorations, demonstrating the aesthetic preferences of the Jingchu region. Both side halls and main halls commonly adopt high podiums, with the main hall podiums typically exceeding twenty steps in height, which is closely related to Jingzhou’s climatic conditions and architectural hierarchy. This study provides scientific evidence for the preservation, new design, and harmonious integration of traditional culture and architectural features in regional religious architecture.

Green Economy from a Regional Perspective – a Polish Case Study

The article presents the elaboration and specification of the green economy concept, where resource scarcity, global climate change and environmental degradation are paving a new path towards sustainable development. The article addresses the issue of implementing the principles of green economy at the regional level. The implementation of a green economy at a regional level provides an excellent space for scientific deliberations. The aim of the research is to identify and assess the level of regional disparities in green economy development across Polish regions using a synthetic measure. The basis for the analysis was a set of substantively and statistically analyzed diagnostic variables from the years 2012-2022. The synthetic indicator of the green economy was calculated for every Polish region (NUTS 2) and the regions were ranked based on their score from highest to lowest. As a result of the analysis, the regional polarization and the ordering of regions in Poland in terms of the synthetic metric - green economy development - were discussed. Keywords: green economy, green growth, sustainable development, taxonomic methods.

Enhanced cancer classification and critical feature visualization using Raman spectroscopy and convolutional neural networks

Cell misuse and cross-contamination pose a significant threat to the accuracy of cell research outcomes, often leading to the wasteful expenditure of time, manpower, and material resources. Consequently, the accurate identification of cell lines is paramount. However, traditional identification methods, which often involve staining and culturing procedures, are not only time-consuming but also laborious. This underscores the need for a novel approach that enables rapid and automated cell line identification, thereby enhancing research efficiency and accuracy. Raman spectroscopy, renowned for its label-free, rapid, and noninvasive nature, offers invaluable molecular insights into samples, making it a widely utilized technique in the biological field. In this study, the identification of one normal and five cancer cell lines was achieved using a sparrow search algorithm-convolutional neural networks (SSA-CNN), considering both the full spectra and fingerprint region perspectives. The SSA-CNN model demonstrated exceptional performance, not just in binary classification, but also in accurately distinguishing among six cell lines. It achieved the highest accuracy (around 95 %), and the lowest standard error (≤3%), for both the full spectra and fingerprint region. Based on the highly accurate SSA-CNN model, proposed the application of gradient-weighted class activation mapping (Grad-CAM) to visualize the Raman feature peaks. Upon comparing the visualized Raman features with reported biomarkers, found that not only were common biomolecules such as glucose, proteins, and liquids visualized, but specific feature peaks also aligned with reported biomarkers. The aforementioned results clearly demonstrated that the proposed strategy not only classifies cancer cell lines with remarkable accuracy but also served as a valuable tool for the discovery of novel biomarkers.

Regional CCUS strategies in the context of a fully decarbonized society

Global strategies to combat climate change must be implemented through actions at the local level. The complexity and interconnection of the global challenges are, however, difficult to interpret at the local level. This requires enhanced collaboration and coordination together with a shared understanding of the interconnected nature of our energy systems and the strategies that shape them. Global, international, and national strategies for carbon capture utilization and storage (CCUS) have emerged in recent years as carbon is increasingly outlined as a key element in the future energy system. This emphasizes CCUS strategies as an important part of a transition toward a fully decarbonized society. Therefore, principal strategies for CCUS and the energy system need to be coordinated and translated following a spatiotemporal assessment to enable meaningful actions at the local level. This article applies a regional perspective, in which a regional energy system model seeks to bridge the gap between national and local energy planning. The regional energy system is developed as part of an overarching national scenario for the transition towards a fully decarbonized society. This context provides a national boundary shaped by a global ceiling to provide a meaningful and adequate framework for regional and local development in the future. The overarching national scenario frames the potentials and constraints of the regional energy system and CCUS strategies as part of a global transition while enabling investigations of potential ramifications from changes in national objectives. The analysis in the article uses the North Denmark Region as a case and investigates scenarios in which the region assumes various roles as a contributor to the national transition. The results indicate a need for more interactive and dynamic energy planning and CCUS strategies to comprehend possible impacts from the various roles and changes in the national objectives. This article suggests that spatial and temporal awareness at the regional level of CCUS strategies as part of a future fully decarbonized society is key to creating a meaningful context for local actions today.

Analysis of spatial and temporal evolution and driving factors of carbon emission in Shandong Province: based on the perspective of land use

Land use/cover change is the second major contributor to carbon emissions, following energy emissions. Studying provincial land-use carbon emissions is crucial for achieving the “double carbon” goal. This study selects 16 prefecture-level cities in Shandong Province as the research object. It analyzes the spatial and temporal distribution pattern of carbon emissions in Shandong Province based on land-use data and energy consumption. In terms of net carbon emissions, this study utilizes the standard deviation ellipse and kernel density estimation to analyze net carbon emissions change from the municipal and regional perspectives. In terms of carbon ecological carrying capacity, not only the carbon ecological carrying capacity of forest and grassland was considered, but also the carbon ecological carrying capacity of crops in Shandong Province, which is a large grain province. Using the geographic detector to explore the drivers. Research findings indicate that carbon sources and sinks show a clear spatial and temporal distribution pattern, with the center of gravity of net carbon emissions extending to the northeast. Areas with high carbon ecological carrying capacity have high forest coverage, grassland coverage, and crop yields. Regarding driving factors, the urbanization rate, economic aggregate, and technological progress demonstrate significant explanatory power through single and interaction tests, suggesting that these factors are critical drivers of land-use carbon emissions within Shandong Province. Based on the spatiotemporal pattern analysis of land-use carbon emissions in Shandong Province, each city's growth rate and spatial distribution characteristics can be clarified, providing a scientific basis for the local government to formulate regional and differentiated emission-reduction policies. In addition, by exploring the driving factors of land-use carbon emissions in Shandong Province, the influence level of factors on carbon emissions can be revealed to provide references for formulating regional sustainable development strategies.