Average Annual Growth Rate Research Articles

A "silent storm": uncovering the escalating crisis in mental healthcare for children and adolescents in Slovenia during and after the COVID-19 pandemic.

Our aim was to assess the burden of children and adolescents' mental health problems on the Slovenian outpatient healthcare system before, during and after the pandemic. In a retrospective analysis of healthcare indicators from 2008 to 2023, we analysed data from the National Institute of Public Health. Key domains included initial visits for mental and behavioural disorders (MBDs) to primary care for the population aged 0-19; the number of referrals to an initial assessment with a child and adolescent psychiatrist (CAP) at the secondary level for the population aged 0-17 along with the corresponding waiting times; and the number of urgent referrals for the population aged 0-17 to emergency mental health centres at the tertiary level. The calculations included rates per 1000 people. Descriptive statistics and diagrams were used to compare the data. Segmented linear regression analysis (SLR) was conducted on the primary healthcare data to identify the distinct temporal point indicating an increase. Comparing the average rates of the 2020-2022 period to those of the 2018-2019 period, there was a 20% increase in initial visits to primary care, a 23% increase in the referral rate to a CAP at the secondary level, and a 41% increase to the tertiary level of care. In secondary care, a four- to sevenfold increase in waiting times for the initial CAP assessment was observed between 2019 and 2023. The incidence of initial visits to primary healthcare services for MBD increased from 2008 to 2019 (average annual growth rate of 4.5%). The average annual growth rate for the 2020-2022 period tripled to 13.9%. The SLR showed that the trend of accelerating growth could have begun in 2017 for the 0-5 age group and possibly for the 15-19 age group as well. After the initial decline in 2020, all levels of the Slovenian healthcare system faced an increased burden of MBD in children and adolescents from 2021 to 2022 compared to pre-pandemic levels. Nevertheless, a portion of this increase aligns with longitudinal growing trends from 2008 onwards. Tackling the crisis requires urgent national action, significant improvement in organization, and investments in mental health.

Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities

Rapid urbanization in South Asian cities has triggered significant changes in land use and land cover (LULC), degrading natural biophysical components and intensifying urban heat islands (UHIs). This study investigated the impact of LULC changes on land surface temperature (LST) and the role of biophysical indicators in enhancing urban resilience to thermal extremes. We used Landsat satellite imageries from 1993 to 2023, conducted a comprehensive analysis of LULC changes, and estimated LST variations at 6-year intervals in the Dhaka, Gazipur, and Narayanganj districts in Bangladesh. Afterward, we performed statistical analysis upon employing correlation, regression, and principal component analysis (PCA) techniques to summarize information. The results reveal that 339.13 km2 worth of urban expansion has occurred in last 30 years, with an average annual growth rate of 3.5%, accompanied by a substantial reduction in water bodies (−139.17 km2) and vegetation cover. Consequently, summer temperatures exceeded approximately 36.52 °C in dense urban areas. Also, the results highlighted the strong influence of built-up areas (BSI and SAVI) on LST, while vegetation (NDVI) and water indices (NDWI) exhibited a negative association. The findings emphasize the urgency of integrating green infrastructure and deploying sustainable urban planning policies to mitigate the potential adverse impacts of scattered urbanization in the face of climate change.

Development of 1 ×1 km gridded emission inventory for air quality assessment and mitigation strategies from open biomass burning in Karnataka, India

In this work, we have developed a high-resolution (1 ×1 km grid) emission inventory of greenhouse gases and air pollutants from open biomass burning (OBB) in Karnataka for 2000, 2005, 2010, 2015, 2020, and 2022. Secondary and field datasets were used to validate the emission inventories. The GIS-based statistical model and activity data were used to estimate greenhouse and air pollutant gas emissions from OBB (Forest, grassland, and crop fires). The uncertainty analysis of the emissions were done using the Monte Carlo Simulation (MCS) model and Low Emission Analysis Platform (LEAP) tool was used for projecting the emissions to 2050 based on the annual average growth rate. According to our results, the total OBB burned areas (%) in Karnataka during the aforementioned years were 24.43, 15.69, 15.95, 11.41, 26.73, and 5.78. The results showed that total annual average OBB emissions in Karnataka for 2000–2022 in Gg were SO2 (6.67), NOx (9.48), NH3(9.80), CO (670.12), OC (59.78), BC (5.09), CO2 (11071 .11), CH4(33.68), PM10(84.29), PM2.5(81.08), NMVOC (74.13), and NO2 (4.80) respectively. The districts of Kalburgi, Raichur, Bagalkot, Uttara Kannada, and Shivamogga have the highest emissions from OBB in Karnataka from 2000 to 2022. The emission uncertainty results showed ±26.92, ±28.17, and ±30.27 % for the crop, grassland, and forest fires, respectively. Under the business-as-usual (BAU) scenarios, the CH4 emissions from forest, grassland, and crop fires are projected at 8823, 2.64, and 5262 metric tonnes by 2030 and 58046, 10, and 30700 metric tonnes by 2050, respectively. The developed high-resolution inventories are the most up-to-date surface emission datasets with hotspots in Karnataka from OBB emission. National Clean Air Programme (NCAP) and India’s Net-Zero Emission target by 2070, our high-resolution emission inventories and mitigation strategies may be helpful for air quality monitoring, health benefits analysis, and policy-making studies in Karnataka, India.

Analysis of hospitalization expenditures and influencing factors for inpatients with chronic bronchitis based on SHA2011 in a central Province of China.

This study compared the hospitalization expenses of patients with chronic bronchitis in a central province (Province A) in China to estimate the direct medical cost of the family. Our data included hospitalization records of 30,341 patients with chronic bronchitis from five urban general hospitals in Province A. Using descriptive statistics and regression analysis, we explored the relevant factors affecting hospitalization expenses. Our study results have indicated that from 2016 to 2020, the medical expenditure of patients with chronic bronchitis increased annually, with an average annual growth rate of 22.65%. Among all kinds of expenses, the hospitalization expenses, drug cost, bed cost, test cost and other cost of UEMI (Urban Employee Medical Insurance) are higher than that of other types of medical insurance. The check-up fees of CMI (Commercial Insurance) are lower than that of other types of insurance. Between 2016 and 2019, the average medical expenses per patient with chronic bronchitis increased by 44%, which is the highest average medical expenses among patients aged 60-70. And the highest average medical expenditure emerged when the number of service days is between 5 and 10 days. The increase in expenditure could be attributed to the rapid development of medical technology and the increasing medical demand of the people. Overall, the results of our study implied a significant increase in medical expenses for patients with chronic bronchitis from 2015 to 2020, indicating that chronic bronchitis could bring heavy economic pressures to patients, their families and society.

СУЧАСНІ ТЕНДЕНЦІЇ РОЗВИТКУ СЕКТОРА ІКТ В УКРАЇНІ

The article emphasizes the priority role of the ICT sector in building a highly developed and competitive national economy. Attention was drawn to the ability of the ICT sector to improve the country's adaptation to globalization and neo-industrial challenges. The role of the ICT sector in the course of our country overcoming hybrid risks and threats and challenges of a full-scale military invasion and subsequent post-war recovery is increasing. An economic and statistical analysis of the number of enterprises (business entities) by type of economic activity «Information and telecommunications» in Ukraine in 2010-2022 was carried out and their absolute growth, growth rate, absolute value of 1% of growth, average annual value, average annual absolute growth and growth rate. It was established that during the analyzed period, the number of subjects of this type of economic activity increased by 5.3 times, while the annual increase was 20 units or 14.9%. If in 2010 there were 55.9 thousand business entities in the field of information and telecommunications, then in 2022 their number was 295.9 thousand units. The shares of enterprises (business entities) by the type of economic activity «Information and telecommunications» in the total number of enterprises (business entities) in Ukraine in 2010-2022 were calculated. It was concluded that the share of entities of this type of economic activity in the total the number of enterprises in Ukraine is constantly increasing and in 2022 was equal to 4.5%, which is by 1% more compared to 2010. It was emphasized that in order to increase the intensity of the development of the ICT sector, it is necessary to change the state’s approach to ensuring the digitalization of the economy and the development of the information society, while providing support, guarantees, broad opportunities for businesses to realize their own economic interests.

The future of airport noise: a comprehensive analysis of population exposure at Dublin airport 2023 to 2030

There are conflicting trends in the impact of aircraft noise as increased air traffic is offset by advancements in low noise aircraft technology. This paper considers the case of Dublin Airport and projects the noise impact of operations over the timeline to 2030. The airport projects an (Average Annual Growth Rate) of 1.2 %, translating to an estimated rise in annual air traffic movements from over 212736 flights in 2023 to around 244635 flights in 2030. This estimated increase poses not only logistical challenges for airports but also an escalation in noise pollution in the surrounding areas. The most significant challenge in predicting future airport noise exposure lies in the shifts in aircraft fleet distribution and the adoption of technology in newer generations of aircraft. This paper evaluates the most likely combination of fleet distribution and technology uptake. In 2023, the noise footprint is projected to affect a population of approximately 105762 people with Lden ≥ 55 dB. By 2030, this exposure increases to 168267 people. The increase in air traffic numbers also leads to a notable increase in nighttime flights, bringing nighttime noise exposure Ln ≥ 50 dB from 127720 in 2023 to 189376 in 2030.

Spatiotemporal coupling dynamics and factors influencing soil organic carbon and crop yield in Chinese farmlands

Clarifying the correlation between soil organic carbon (SOC) and crop yield is key to achieving carbon neutrality and ensuring food security. However, owing to the lack of analysis based on large-scale farmland monitoring data and research on deep soil, relevant research has not yet reached a consensus. Here, we based on the monitoring data of 118 sample plots from 21 typical farmland and farmland compound ecosystem stations of the China Ecosystem Research Network (CERN) between 2004 and 2020, the temporal and spatial coupling associations between SOC content and crop yield in 0–20 cm and 0–100 cm soil layers and its factors influencing were determined. The findings revealed that between 2004 and 2020, SOC content in 0–20 cm soil layer, SOC content in 0–100 cm soil layer, and crop yield in typical farmland in China showed a fluctuating upward trend, the average annual growth rates were 0.59 %, 0.27 % and 1.07 %, respectively. The coupling relationship between SOC content and crop yield was not always good in different periods, which varies largely in different geographical divisions. Among the anthropogenic factors, exogenous carbon input can improve the coupling relationship between them by increasing the soil organic carbon content and crop yield, while the effect of less tillage and no tillage is limited. Among the natural factors, temperature, soil bulk density, and farmland type all have an impact on farmland SOC content and crop yield at different significance levels. Each variable had different effects on SOC content and crop yield in typical farmlands in different geographical regions. With deepening soil layer, influence of anthropogenic factors such as exogenous carbon input on SOC content decreases, but it still cannot be ignored. Based on these findings, the study recommends that exogenous carbon input play an important role in soil carbon sequestration and improving crop yield.

A novel dynamic structural adaptive multivariable grey model and its application in China's solar energy generation forecasting

Accurately predicting China's solar energy generation is crucial for energy planning and environmental protection. However, the nonlinearity and complexity of the data pose challenges to prediction. This article proposes a dynamic structural adaptive multivariate grey model to overcome these challenges. The model constructs a dynamic nonlinear correction function with an uncertain structure that can adaptively adjust to the data characteristics. Additionally, the Gaussian function is utilized to derive the time response function, overcoming the mechanism defects present in traditional multivariate grey models. The whale optimization algorithm is applied to optimize the background value of the model, improving accuracy. The model is compatible with 14 classical models via parameter changes and has strong compatibility. The results show that the fitting error and test error of the model are 0.23 % and 1.95 % respectively, which is significantly better than the other 11 methods, indicative of strong robustness and accuracy. The forecast indicates that China's solar energy generation will experience a consistent upward trajectory from 2023 to 2030, with an average annual growth rate of 12.11 %. This study significantly contributes to the advancement of the theory of multivariate grey dynamic prediction and provides essential data support for strategic planning within China's solar power industry.

RATE OF ASCENDING AORTIC ENLARGEMENT IN A LARGE ECHOCARDIOGRAPHIC COHORT: ASSOCIATED RISK FACTORS AND ADVERSE AORTIC EVENTS

BackgroundUnderstanding ascending aortic aneurysm growth and associated risk factors is critical to advising appropriate echocardiographic follow-up intervals for patients. This study aimed to identify aortic aneurysm growth rate on serial echocardiograms as well as the clinical and demographic variables that contribute to baseline aortic size and subsequent aortic growth. MethodsPatients identified with ascending aortic aneurysm and undergoing serial echocardiograms within five years were evaluated. Ascending aortic size was measured as part of routine echocardiogram exams. Clinical and demographic variables including aortic valve type (trileaflet, bicuspid or prosthetic) were evaluated for association with baseline aortic size as well as with aortic progression rate. Clinical events including aortic dissection, elective or emergent surgical repair were recorded. Results3639 patients were identified, (78% males, median age of 69 years, 175 (4.8%) with bicuspid valve, and 206 (5.6%) with prior aortic valve replacement (AVR). Patients with larger aorta at baseline were older with higher tobacco use and prior prosthetic valves. Over a mean of 2.4 years, aortic growth was observed and differed by valve type (trileaflet valve: 0.08 mm/year , bicuspid valve: 0.4 mm/year , p<0.001). In six patients who developed aortic dissection the estimated average annual growth rate was 0.98 mm/year. ConclusionsIn a large echo cohort, aortic aneurysm growth rate was 0.08 mm/year though higher in those with bicuspid valves ( 0.4 mm/ year), but initial aortic size did not correlate with change in the aortic progression rate. This data may help inform recommended echocardiographic surveillance intervals.

Features of the Development of International Trade in Tourist Services

Introduction. The relevance of studying the peculiarities of the development of international trade in tourist services is determined by the significant role of world tourism in the structure of the global economy. In the conditions of a complex international political situation, which is dynamically changing, it is crucial to identify the vectors of the development of the tourism industry to determine the future structure of the macro-regional distribution of tourist flows. Aim and tasks. The purpose of this study is to identify the dominant factors and prospects for the development of international tourism business in the conditions of modern global economic and political instability to determine the most favourable marketing strategies for interaction in the international market of tourist services by extrapolating the results to the possibilities of post-war recovery of the tourism industry in Ukraine. Results. An analysis of international tourism arrivals showed that the average annual growth rate of the industry from 1995 to 2020 average annual growth of international tourist arrivals was more than 4 per cent. Over the estimated period from 1995 to 2023, the average arrival rate decreased to 2.46 per cent. Macro-regions are considered the most promising for the scaling of international tourism, as well as the factors that will contribute to this and can inhibit economic processes. Special attention is paid to the positioning of Ukraine during the post-war recovery of the tourism industry. Forecast indicators indicate that international tourist arrivals to Ukraine could reach 61 million people in the tenth year of the post-war period. An alternative strategy for promoting national tourist products and brands in the target markets of Central and Eastern Europe, Asia, and the Middle East was proposed, and the feasibility of continuing the promotion of Ukraine as a tourist brand was substantiated. Conclusions. This study confirms the vector of the shift in global tourist flows under the influence of a number of factors that deepen the contradictions between the Global South and the North, revealing key trends in the growth and displacement of international tourist flows among countries belonging to two opposite camps. The directions of institutional and structural changes required to restore international tourism in Ukraine in the post-war period to strengthen Ukraine's position in the global tourism market are proposed.

Trend Analysis of the Burden of Hypertensive Heart Disease in China from 1990 to 2021

Objective: To quantitatively analyze the burden of hypertensive heart disease (HHD) in China and provide a scientific basis for prevention and control strategies. Methods: Data from the Global Burden of Disease 2021 database were used to assess the disease burden, deaths, years lived with disability (YLDs), and risk factors for HHD in the Chinese population from 1990 to 2021. Results: From 1990 to 2021, HHD cases in China increased from 1.5 million to 3.9 million, with an average annual growth rate of 2.83%. Prevalence rose from 127.76/100,000 to 259.00/100,000, while age-standardized prevalence decreased by 0.68% annually. HHD deaths increased from 232,478 to 320,247, with a mortality rate rise from 19.76/100,000 to 22.56/100,000, though age-standardized mortality decreased by 2.68% annually. YLDs rose from 124,386 to 301,426, with the rate increasing by 2.20% annually, while age-standardized YLDs decreased by 0.67% annually. High sodium intake and low fruit consumption were key risk factors for HHD deaths. Deaths related to low vegetable intake decreased until 2005 and then rose, while deaths from lead exposure showed a similar pattern. Conclusion: HHD cases and prevalence increased significantly, but age-standardized prevalence and mortality rates declined, reflecting the impact of an aging population and improved health interventions. The rise in YLDs highlights the long-term impact on patients’ quality of life. Key risk factors included high sodium intake and low fruit consumption, emphasizing the importance of dietary improvements in HHD prevention. HHD remains a significant public health challenge in China, requiring continuous research and targeted prevention strategies.

The multiscale response of global cropland cropping intensity to urban expansion

CONTEXTUrban expansion(UE) and multiple cropping(MC) are key factors in anthropogenic impacts on global environmental change. However, the multi-scale response patterns of UE and MC have not yet been revealed, and how urbanization affects cropland intensification is still not deeply explored. OBJECTIVEThis study examines the spatial and temporal trends in global UE and MC and analyses the multi-scale response patterns of both. METHODSThe GEE (Google Earth Engine) platform was used to count global cropland cropping intensity (CCI) and impervious surface rasters on an image-by-image basis, while GIS was employed for spatial analyses, and the generalized additive model (GAM) was applied to inscribe variable response trajectories. RESULTS AND CONCLUSIONThe global multiple cropping index(MCI) increased significantly (by 4.1 %) over the period 2001–2019, with growth in double- and triple-cropped cropland dominating this change. Double cropping, as a widespread global farming strategy, has led to a shift towards the intensification of agriculture, with countries in the northern hemisphere contributing more. Global UE significantly expands to twice the baseline level at an average annual growth rate of 2. 42 × 104 km2 over the period 2001–2019, with the expansion of world-class urban agglomerations in China, the United States and Europe dominates this trend. The spatial clustering of MC and UE has continued to intensify, with high-intensity cropping strategies progressively clustering towards areas of significant UE, and this tendency has a clear decreasing urban-rural gradient effect. The global CCI grows significantly and non-linearly with UE, but an important inflection point in the growth trajectory has occurred under the influence of threshold effects. Developed countries tend to be more flexible in their cropping intensity strategies as they move forward with urbanization. There is a clear increasing effect of the urban-rural gradient in the degree of non-linearity in the response of urbanization and cropping intensity. SIGNIFICANCEThe results of the study contribute to the understanding of the complex spatial and temporal coupling mechanisms between UE and MC, and provide useful insights for the development of trade-offs between urbanization and maturity strategies.

Collaborations in publications on pediatric anesthesiology in the D-A-CH countries

Collaborations are an essential element of scientific activity and particularly important in fields such as pediatric anesthesiology, where the evidence base in general is relatively limited. Arecent scientometric analysis revealed ageographic diversification of publication activity in pediatric anesthesiology within the last two decades, accompanied by asurge in international collaborations. Given the hypothesis of asimilar growth in the activity and dynamics of publications in pediatric anesthesiology, the objective of this scientometric study was to analyze the publication activity and collaboration habits in research in pediatric anesthesiology from Germany, Austria and Switzerland (D-A-CH). This secondary analysis identified all publications on pediatric anesthesiology with an affiliation from the D‑A-CH countries between 2001 and 2020 from PubMed and Web of Science. The query parameters included the timeframe 2001-2020, authors' affiliations tied to anesthesiology departments (using various forms of the term "anesthesia"), and the mention of pediatric interest in titles or abstracts. The data underwent standardization to account for linguistic variations. The publications were assigned to astate, city and institution based on the correspondence address, to ayear based on the publication date and to asource based on the journal. The primary endpoint was publication activity and dynamics, represented by the number of publications and the respective growth rates (calculated as the linear regression slope). Secondary endpoints included the share of collaborations within and outside the D‑A-CH region (at the country and institutional level), the distribution of publication activity and the most prominent sources of publications. Between 2001 and 2020 atotal of 3406 publications on pediatric anesthesiology involving authors from the D‑A-CH countries were identified. Of these 2807 (82.4%) had acorrespondence address in D‑A-CH. The average annual growth rate of publications with acorrespondence address was + 2.9% for the D‑A-CH countries and + 7.7% for publications with collaborations. The number of publications in which an institution from D‑A-CH was named as acoauthor from acorrespondence address outside D‑A-CH also increased by an average of 7.4% per year during the study period. The majority of collaborations occurred between institutions within the D‑A-CH region, although Swiss institutions exhibited amuch higher proportion of collaborations outside the region. Of all publications with acorrespondence address 90% originated from 46cities. The most prominent source was Die Anästhesiologie for publications from Germany, and Pediatric Anesthesia for publications from Austria and Switzerland. The number of publications in pediatric anesthesiology from the D‑A-CH countries has increased over the past two decades, accompanied by asurge in collaborations. It is hoped that increased collaboration will contribute to ahigher level of evidence in pediatric anesthesiology care.

Prospective Analysis and Innovative Path Research on Silver Sports Economy in the Context of Aging Society

This study focuses on the prospects and innovative pathways for the development of the silver-haired sports economy in the context of an ageing society. The proportion of the global population over 65 years old is expected to increase from 9% in 2019 to 16% in 2050, highlighting the huge potential of the silver-hair economy. This paper adopts a mixed research methodology, combining spatial econometric modelling and rootedness theory, to explore in depth the current development status, trend forecasts and innovation paths of the silver-haired sports economy. The study constructs a silver-hair sports economy assessment system containing 22 indicators, and uses panel data to analyse the development level of 31 provinces, municipalities and autonomous regions in China from 2010 to 2023, and the results show that the average annual growth rate of silver-hair sports economy reaches 15.7%, but the gap between Beijing, Tianjin, Shanghai and Guangdong and the central and western regions reaches 1.8 times. Analyses based on the Spatial Durbin Model show that every 1 percentage point increase in silver-haired sports consumption can drive 0.3 percentage points of GDP growth in neighbouring regions. Through a Delphi method research of 150 industry experts, it is predicted that the size of China's silver-haired sports market will exceed RMB 3 trillion in 2030, increasing its share of GDP to 2%. The qualitative study reveals three innovative paths: intelligent transformation, ecosystem construction, and cross-border integration, and proposes specific strategies such as "integration of sports and medicine" and "social platform for silver sports". The results of the study provide data support and theoretical basis for the formulation of policies for the development of the silver sports economy, and provide important insights into the industrial transformation of an aging society.

Spatial Correlation of Land Use Carbon Budget Based on Social Network Analysis： A Case Study of Chongqing Metropolitan Area

Clarifying the temporal and spatial changes in the carbon budget in the Chongqing metropolitan area and exploring the spatial correlation of land use carbon budget are of great significance for realizing the regional "double carbon" goal. Using 21 districts and counties in Chongqing metropolitan area as the research scale, the IPCC inventory method, carbon emission coefficient method, Gini coefficient, gravity model, and social network analysis were used to estimate the net carbon emissions from land use in Chongqing metropolitan area from 2000 to 2020, and the spatial correlation of the carbon budget was obtained. The results revealed that： ① In the past 20 years, the carbon budget of the Chongqing metropolitan area showed an overall upward trend, with an average annual growth rate of 2.83%, and the spatial distribution was "higher in the north and south, higher in the east and west, and lower in the middle." ② During the past 20 years, the spatial difference of net carbon emissions in the Chongqing metropolitan area became highly average, and the overall Gini coefficient decreased by 11.42%, whereas the intra-group difference was the largest in key development zones. ③ In the past 20 years, the overall structure of the spatial correlation network of land use carbon budget in the Chongqing metropolitan area has become stable and complex, and the network density and network correlation number have increased by 0.43 and 180, respectively, the network correlation degree has increased to 1, and the network health degree has improved. ④ In the individual network structure of land use carbon budget in the Chongqing metropolitan area, the degree centrality of each district and county has increased, and the increase in the central urban area was the most significant, with an increase of 81, whereas the decline in intermediate centrality and proximity centrality has promoted the regional coordinated development and integration process in the metropolitan area. ⑤ In the past 20 years, the density of net carbon emissions in the Chongqing metropolitan area has increased as a whole, with the density of the core area increasing by 0.35 and the density of the core-edge area increasing by 0.34. By exploring the change and spatial correlation of land use carbon budget in the Chongqing metropolitan area, this study clarified the spatial distribution difference of carbon budget and provided support for regional green development.

Effect of government environmental attention on green transformation: Empirical analysis from a spatiotemporal perspective in China

As the primary policymaker and implementer, the government plays an essential role in driving regional green transformation development (GTD). The study of the impact mechanisms of government environmental attention (GEA) on GTD can offer a scientific basis and reference for policy-making and regional governance. However, the varying focus of local governments on environmental issues and the externalities of environmental governance underscore the complexities in the influence of GEA on GTD. This paper proposes a method that integrates multi-source data to explore the impact of GEA on GTD from a spatiotemporal perspective. A text mining framework is first proposed to provide a more accurate measurement of the GEA, and the geographically and temporally weighted regression model is used to analyze the spatiotemporal characteristic and mechanism of GEA's impact. Additionally, the spatial correlation effect is explored based on the gravity model. The results indicate that the level of GTD in China demonstrates an increasing trend with an average annual growth rate (AAGR) of 3.22%, while the variance between provinces is also increasing. GEA has a significant positive effect on GTD (R2 = 0.866), with an average growth rate of 18.1% following the implementation of major environmental policies. The spatial distribution pattern of GEA's impact shows the characteristics of “central > eastern > western > northeastern”. GEA promotes GTD by increasing environmental governance expenditure and enhancing public environmental services, while the transmission pathway of promoting green innovation has not yet worked. The spatial correlation and spillover effects of GEA have shown an overall increasing trend, with the AAGR of 8.92% in the gravity value. Inter-provincial cooperation can promote GTD, and certain collaborative clusters among provinces have been formed. This paper provides novel insights into the theoretical connection between GEA and GTD. The research findings can serve as a reference for the government to propose targeted policies for promoting regional green transformation.

Progress and research trends in lumpy skin disease based on the scientometric assessment – a review

Abstract Background Lumpy skin disease (LSD) has been a significant concern in veterinary medicine since its discovery. Despite decades of research, understanding the full spectrum of this disease remains a challenge. To address this gap, a comprehensive analysis of the existing body of knowledge on LSD is essential. Bibliometric analysis offers a systematic approach towards the mapping of research landscape, identifying key contributors, and uncovering emerging trends in LSD research. Objective This study aims to conduct a thorough bibliometric analysis spanning from 1947 to till the present date in order to map the knowledge domain of LSD. The objective is to gain insights into the global research trends, identify influential contributors, explore collaboration networks, and predict future outlook in LSD research. Method Data extracted from the Scopus database was used to perform a bibliometric analysis. 341 relevant documents were selected for analysis. Bibliometric indicators, including publication numbers, citation counts, and the h-index, were utilized to assess the comprehensive contributions of nations, organizations, authors, and source titles. Additionally, cooperation networks between countries, organizations, and authors were visualized using the VOSviewer tool. Results The analysis revealed a significant increase in research output on LSD, with a notable growth rate of 19.26%. Since its discovery in Zambia in 1929, LSD research has grown steadily, with an average annual growth rate of 5.21%. The University of Pretoria and the Federal Centre for Animal Health emerged as the most active institutions and organizations in LSD research. The Journal of Virology was identified as the most cited journal, reflecting its significant impact on the field, and a strong international collaboration was observed between the United Kingdom and South Africa. Conclusion This study provides valuable insights into the global research landscape of LSD, highlighting key trends, contributors, and collaboration networks. By reviewing decades of research, this analysis enhances our understanding of LSD and serves as a foundation for future research endeavours. The findings of this study will aid researchers in navigating the vast literature on LSD, ultimately contributing to advancements in veterinary medicine and disease management strategies.

Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation

Effective forest management and conservation are increasingly critical in addressing the challenges posed by climate change. Advances in remote sensing technologies, such as terrestrial laser scanning, offer promising tools for more accurate assessments in forestry research. This study explores the application of TLS in biomass estimation by conducting a bibliometric analysis of scientific articles indexed in Scopus and the Web of Science. By examining the literature from 2010 to 2024, the study identifies key trends, knowledge gaps, and emerging research opportunities, as well as practical applications in forest management and conservation. The analysis reveals a significant rise in scientific output on TLS, with an average annual growth rate of 8.16%. The most cited works address biomass estimation at the individual tree level using laser scanning data. China leads in the publication volume with 11 articles, followed by the USA with 11. The collaboration network highlights research disparities among regions such as Latin America. Overall, TLS has proven effective for the non-destructive measurement of forest variables and biomass.

Green energy: a modern view in conditions of environmental safety

Expansion of the use of renewable energy sources (RES) became possible due to technical progress in this area, which allowed, first of all, to significantly reduce the cost of electricity production by wind and solar power plants of various types. Since 2000, wind power has developed with an average annual growth rate of more than 21%. In the early years of wind power deployment, Europe was the key region for global wind turbine installations. In 2010, the region accounted for 47 % of global onshore wind turbine deployments. After 2010, other regions, especially China, have seen rapid wind energy development. By 2018, China had overtaken Europe to become the largest onshore wind energy market with nearly one-third of the world's installed capacity. Some experts estimate that onshore wind power installations will need to have an average annual growth rate of more than 7 % over the next three decades. Offshore wind energy technologies allow countries to exploit generally higher and sometimes more stable wind resources, by implementing gigawatt projects near densely populated coastal areas common in many parts of the world. This makes wind power an important addition to the portfolio of low-carbon technologies available to the energy sector in many countries. Green energy, in terms of environmental impact, leads to a more environmentally friendly process. Energy obtained from naturally occurring sources such as wind, sun and water, i.e. renewable energy is better for the environment because energy production does not produce greenhouse gases – gases that enter the atmosphere, trap heat and cause global warming. The main goal of our work is to analyze the experience of large-scale development of renewable energy sources in a number of countries, its impact, including negative ones, on traditional generation and the electricity market, with the development of relevant specific recommendations for overcoming specific challenges and ensuring environmental safety in each country

Building Resilient Food Security Against Global Crisis: New Evidence From China

ABSTRACTThe existing literature addresses the importance of food system disruptions and the risk of the global food crisis. However, there is insufficient understanding of response strategies and their effectiveness evaluations. This study offers a comprehensive introduction to China's food security policies and evaluates their effectiveness in enhancing the nation's risk resistance capability. Utilizing the Entropy Weight Method (EWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we evaluated China's provincial food security resilience (FSR) from 2003 to 2020 and adopted the ArcGIS platform to map spatiotemporal trends. Our findings reveal significant improvements in FSR nationwide, with a notable average annual growth rate of 1%–5%. However, regional disparities persist, with higher resilience observed in eastern provinces compared to the west. The study emphasizes the effectiveness of China's food security policies, which have synergistically enhanced grain production, agricultural mechanization, and farmers’ economic conditions. The article offers policy recommendations aimed at bolstering China's FSR and challenges with global implications. Our study contributes to the broader discourse on global food security by offering a nuanced understanding of the effectiveness of policy interventions in a major agricultural economy.