Search Results (202)

In the framework of global efforts to mitigate climate change and in alignment with the “Dual Carbon” objectives, the construction sector, a fundamental cornerstone of the national economy, has garnered significant attention concerning its development and carbon emissions. This study collected data from the construction sector across 30 Chinese provinces (including autonomous regions and municipalities) to develop an evaluation index system for assessing high-quality development. The random forest algorithm was utilized to assess the levels of high-quality development, whereas the carbon emission factor approach was used to quantify emissions at the provincial level. Subsequently, a coupling coordination model was employed to analyze the interrelationship between development levels and carbon emissions. Key findings indicate the following: (1) China’s construction sector has shown sustained improvement in high-quality development; however, significant regional disparities persist, with eastern provinces (e.g., Beijing, Jiangsu) outperforming their central and western counterparts (e.g., Guangxi, Guizhou). (2) Carbon emissions from the construction sector exhibited an M-shaped fluctuation pattern, characterized by an increase from 2013 to 2014, followed by a decline in 2015, a subsequent recovery from 2016 to 2019, a transient decrease in 2020, and an eventual rebound in 2021 and 2022. Spatially, the developed coastal provinces of Jiangsu and Zhejiang exhibited significantly higher carbon emissions compared to regions such as Hainan and Ningxia. (3) The coupling coordination degree indicated a gradual increase from 0.50 to 0.55 (mean values); however, 78% of provinces remained at the “barely coordinated” level (0.5 ≤ D < 0.6), leading to a notable spatial distribution that is marked by elevated values in the eastern and southern regions, while exhibiting reduced values in the western and northern areas. Regional divergence was observed through four characteristic evolutionary trajectories: eastern China exhibited a U-shaped recovery, western China maintained linear growth, central China experienced inverted V-shaped fluctuations, and northeast China displayed W-shaped oscillations. Full article

Zhejiang Province, as a key ecological region in southeastern China, plays a vital role in ensuring regional ecological security and sustainable development through its soil conservation services (SCS). Based on remote sensing data, this study employed the InVEST model to evaluate the characteristics of SCS in Zhejiang from 2001 to 2020. Long-term trends were identified using Sen’s Slope and the Mann–Kendall test, spatial autocorrelation was assessed through Moran’s I, the contributions of driving factors were quantified using XGBoost combined with SHAP, and spatial heterogeneity was further explored using Geographically Weighted Regression (GWR). The results indicate that: (1) from 2001 to 2020, SCS exhibited a fluctuating trend of “decline followed by recovery,” with significantly higher values in the western mountainous areas than in the eastern coastal and plain regions; approximately 58% of the area remained stable, while 40% experienced degradation; (2) Spatial autocorrelation analysis showed that areas with strong SCS were concentrated in the western mountains, while low-value areas were mainly distributed in the eastern coastal and urban regions; (3) natural factors contributed the most, followed by climatic and human activity factors; and (4) the GWR model outperformed the OLS model in revealing the spatial variation in the effects of natural and anthropogenic drivers. These findings provide valuable scientific references and decision-making support for ecological conservation, watershed management, and sustainable land use in Zhejiang Province. Full article

The inter-provincial border region in eastern China, encompassing the junction of Jiangsu, Anhui, Shandong, and Henan provinces, serves as a crucial zone that connects the important economic zones of Beijing–Tianjin–Hebei and the Yangtze River Delta. It is of great significance to study the temporal variation characteristics, spatial distribution patterns, and driving factors of PM_2.5 concentrations in this region. Based on the PM_2.5 concentration observation data, ground meteorological data, environmental data, and socio-economic data from 2022 to 2024, this study conducted in-depth and systematic research by using advanced methods, such as spatial autocorrelation analysis and geographical detectors. The research results show that the concentration of PM_2.5 rose from 2022 to 2023, but decreased from 2023 to 2024. From the perspective of seasonal variations, the concentration of PM_2.5 shows a distinct characteristic of being “high in winter and low in summer”. The monthly variation shows a “U”-shaped distribution pattern. In terms of spatial changes, the PM_2.5 concentration in the inter-provincial border region of eastern China (Jiangsu, Anhui, Shandong, Henan) forms a gradient difference of “higher in the west and lower in the east”. The high-concentration agglomeration areas are mainly concentrated in the Henan part of the study region, while the low-concentration agglomeration areas are distributed in the eastern coastal parts of the study region. The analysis of the driving factors of the PM_2.5 concentration based on geographical detectors reveals that the average temperature is the main factor affecting the PM_2.5 concentration. The interaction among the factors contributing to the spatial differentiation of the PM_2.5 concentration is very obvious. Temperature and population density (q = 0.92), temperature and precipitation (q = 0.95), slope and precipitation (q = 0.97), as well as DEM and population density (q = 0.96), are the main combinations of factors that have continuously affected the spatial differentiation of the PM_2.5 concentration for many years. The research results from this study provide a scientific basis and decision support for the prevention, control, and governance of PM_2.5 pollution. Full article

Dutch elm disease is one of the most devastating plant diseases, primarily spread through bark beetles. Scolytus scolytus is a key vector of this disease. In this study, distribution data of S. scolytus were collected and filtered. Combined with environmental and climatic variables, an ensemble model was developed using the Biomod2 platform to predict its potential geographical distribution in China. The selection of climate variables was critical for accurate prediction. Eight bioclimatic factors with high importance were selected from 19 candidate variables. Among these, the three most important factors are the minimum temperature of the coldest month (bio6), precipitation seasonality (bio15), and precipitation in the driest quarter (bio17). Under current climate conditions, suitable habitats for S. scolytus are mainly located in the temperate regions between 30° and 60° N latitude. These include parts of Europe, East Asia, eastern and northwestern North America, and southern and northeastern South America. In China, the low-suitability area was estimated at 37,883.39 km², and the medium-suitability area at 251.14 km². No high-suitability regions were identified. However, low-suitability zones were widespread across multiple provinces. Under future climate scenarios, low-suitability areas are still projected across China. Medium-suitability areas are expected to increase under SSP370 and SSP585, particularly along the eastern coastal regions, peaking between 2041 and 2060. High-suitability zones may also emerge under these two scenarios, again concentrated in coastal areas. These findings provide a theoretical basis for entry quarantine measures and early warning systems aimed at controlling the spread of S. scolytus in China. Full article

The value realization of forest ecological products (VRF) is crucial for rural revitalization, while the rural digital economy (RDE) plays a central role in enhancing farmers’ income (FI). This study constructs index systems to evaluate the RDE and VRF using the entropy weight method and the input–output model. Based on panel data from 31 Chinese provinces (2011–2021), we employ a comprehensive analytical framework that includes spatiotemporal evolution analysis, benchmark regression models, mediation effect analysis, and heterogeneity analysis. The results of the benchmark regression models show that the RDE significantly boosts FI, with each unit of increase in the RDE leading to a 2579-unit rise in income. Spatiotemporal evolution analysis reveals that the positive effect of the RDE weakens from the Eastern coastal regions to the less developed Western regions. Furthermore, mediation effect analysis indicates that VRF mediates the relationship between the RDE and FI. Heterogeneity analysis demonstrates that the impact of the RDE varies across regions and income levels. These findings provide strong evidence of the role of the RDE in promoting FI and highlight VRF as a mediating mechanism, offering policy insights for integrating digital and ecological strategies to foster inclusive rural growth. Full article

Aerosol optical depth (AOD) serves as a critical indicator for atmospheric aerosol monitoring and air quality assessment, and quantifies the radiative attenuation caused by airborne particulate matter. This study uses MODIS remote sensing imagery together with land use transition datasets (2000–2020) and road network density metrics (2014–2020), to investigate the spatiotemporal evolution of AOD in Zhejiang Province and its synergistic correlations with urbanization patterns and transportation infrastructure. By integrating MODIS_1KM AOD product, grid-based road network density mapping, land use dynamic degree modeling, and transfer matrix analysis, this study systematically evaluates the interdependencies among aerosol loading, impervious surface expansion, and transportation network intensification. The results indicate that during the study period (2000–2020), the provincial AOD level shows a significant declining trend, with obvious spatial heterogeneity: the AOD values in eastern coastal industrial zones and urban agglomerations continue to increase, with lower values dominating southwestern forested highlands. Meanwhile, statistical analyses confirm highly positive correlations between AOD, impervious surface coverage, and road network density, emphasizing the dominant role of anthropogenic activities in aerosol accumulation. These findings provide actionable insights for enhancing land-use zoning, minimizing vehicular emissions, and developing spatially targeted air quality management strategies in rapidly urbanizing regions. This study provides a solid scientific foundation for advancing environmental sustainability by supporting policy development that balances urban expansion and air quality. It contributes to building more sustainable and resilient cities in Zhejiang Province. Full article

Biodiversity conservation plays a pivotal role in achieving sustainable development and fostering harmonious coexistence between humans and nature. This study identifies avian conservation priority areas across China by analyzing multi-dimensional biodiversity, incorporating species diversity, functional diversity, and phylogenetic diversity. Through systematic conservation planning using Zonation version 4 software, we delineated priority areas across these diversity dimensions. Our results demonstrate a distinct south-to-north diversity gradient in China’s avifauna, with functional and phylogenetic diversity hotspots concentrated in Yunnan Province, the Hengduan Mountains, Hainan Island, Taiwan Island, and southeastern coastal regions. The identified priority conservation areas cover 14.6% of China’s terrestrial territory, protecting 89.8% of the country’s bird species—including 93.5% of endemic species and 88.9% of critically endangered species. Notably, existing nature reserves encompass merely 8.1% of these priority areas, revealing substantial conservation gaps within the current protection framework. Building upon China’s 3C Zoning Framework (Cities and farms, Shared landscapes, and Large wild areas), we propose zone-specific conservation strategies, with particular emphasis on strengthening protected area networks in the eastern coastal regions and the middle-lower Yangtze River basin, where urbanization pressures are most acute. These findings highlight the critical importance of incorporating multi-dimensional diversity in conservation planning and offer novel perspectives for optimizing China’s protected area system. Full article

The sustainable preservation of archeological heritage located in rural and coastal regions requires more than technical interventions; it necessitates the awareness and active participation of local communities. However, community involvement in heritage management in such areas remains limited. This study aims to analyze the levels of cultural heritage awareness, conservation tendencies, and tourism-related expectations among local residents and visitors in the Magarsus Archeological Area, located in the Karataş district on the eastern Mediterranean coast of Turkey. The study was conducted in three phases: a literature review, field observations, and a structured survey conducted between June and August 2022 with 510 participants (280 local residents and 230 domestic visitors from surrounding provinces). The data were analyzed using SPSS 25.0 through descriptive statistical methods, complemented by cross-tabulation and chi-square analysis to identify patterns across demographic variables. The survey results not only reflect general perceptions about heritage and tourism but also offer critical insights into how the rural and coastal character of the site shapes conservation attitudes and tourism behavior. The findings reveal nuanced perceptions, including strong symbolic appreciation for heritage and general openness to tourism, alongside concerns about cultural and environmental risks. While the local community prioritizes the potential for economic benefit, many participants also emphasized the importance of safeguarding local traditions, crafts, and culinary heritage. Nevertheless, concerns were expressed regarding the risks posed by uncontrolled tourism, including environmental degradation, erosion of cultural identity, and the commodification of heritage values. Based on these insights, the study introduces a governance approach built upon three interlinked pillars: community-based participation, environmental sustainability, and tourism practices aligned with cultural values. The proposed approach aims to support the inclusive and sustainable management of Magarsus and other rural and coastal archeological landscapes with similar characteristics. Full article

Juniperus turbinata is an endemic species of the Mediterranean region, recognized for its role in ecological balance. However, concerns have been raised regarding its state of conservation. The objective of this study is twofold: firstly, to assess the rate of degradation of this species in the eastern region of Morocco; and secondly, to monitor the rate of natural regeneration to determine whether this compensates for the rate of degradation. To this end, three populations of red juniper were studied: the littoral (Saidia), the semi-continental (Oued Elhimer) in Jerrada, and the continental (Ich and Abou Lkhel) in Figuig. The first study objective is based on the use of the Normalized Difference Vegetation Index (NDVI) based on satellite images from 1986, 2000, and 2022. The study’s second objective focuses on locating new regenerations of J. turbinata using the Global Positioning System (GPS). The results of this study are alarming, showing a significant loss in the area occupied by J. turbinata in the eastern region of three study sites between 1986 and 2022. The area of J. turbinata matorral decreased by 99.05%, 95.10%, and 89.32% in the coastal, semi-continental, and continental regions of Figuig province, respectively. Regarding the natural regeneration of J. turbinata plants, 121 regenerations were observed along the coast. In the semi-continental region, 27 regenerations were recorded. However, no regeneration was found at the Figuig site. The study reveals that, over the past four decades, the average annual decline J. turbinata in the three regions was 2.62%. Conversely, the average rate of regeneration was recorded as 0.03%. Projections indicate a precipitous decline in the distribution of J. turbinata, with probable extinction of the species in northeastern Morocco. Full article

Anoplophora horsfieldii Hope, a potential pest of the Cerambycidae family, is widely distributed throughout China, where it can cause damage to various living tree species. It has emerged as a critical invasive organism threatening China’s agricultural and forestry production as well as ecological security. This study comprehensively analyzed the key environmental factors influencing the geographical distribution of A. horsfieldii and its spatiotemporal dynamics by integrating multi-source environmental data and employing ecological niche modeling. Model validation demonstrated high reliability and accuracy of our predictions, with an area under the receiver operating characteristic curve (AUC) value of 0.933, Kappa coefficient of 0.704, and true skill statistic (TSS) reaching 0.960. Our analysis identified four dominant environmental factors governing the distribution of A. horsfieldii: mean diurnal range (Bio2), temperature annual range (Bio7), precipitation of driest quarter (Bio17), and precipitation of coldest quarter (Bio19). Under current climatic conditions, the total potential suitable distribution area for A. horsfieldii was estimated at 212.394 × 10⁴ km², primarily located in central, southern, eastern, southwestern, and northwestern China. Future projections under three climate scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) suggest significant reductions in highly and moderately suitable habitats, while low-suitability areas may expand into central, eastern, and southwestern regions, with Chongqing, Henan, and Anhui potentially becoming new suitable habitats. Concurrently, the centroid coordinates of suitable habitats exhibited a directional shift toward Guangdong Province, with the overall distribution pattern demonstrating a spatial transition characterized by movement from inland to coastal areas and from higher to lower latitudes. This study provides scientific theoretical support for forestry authorities in controlling the spread of A. horsfieldii, while establishing a solid foundation for future ecological conservation and biosecurity strategies. The findings offer both theoretical insights and practical guidance for pest management and ecosystem protection. Full article

Sustainable development is an inevitable derivative outcome of the advancement of social productive forces and the innovation of science and technology. In the current era, a multitude of global issues are intertwined. Sustainable development provides ideas and approaches of crucial value for resolving these difficult situations. This study constructs a micro-level indicator system to assess the quality of foreign direct investment and measures the quality of FDI in China from 2011 to 2022. Using the two-way fixed effects panel model, this study empirically tests the impact of FDI quality on China’s sustainable development and deeply examines the industry heterogeneity. The findings reveal that (1) micro-level FDI quality indicators avoid aggregation bias and lagged responses inherent in macro-level analyses, enabling precise and timely detection of foreign firms’ reactions to macroeconomic shifts. (2) Enhancing FDI quality exerts a positive and significant effect on China’s sustainable development, with notable variations across industries. (3) Further analysis shows that, first, in eastern coastal provinces, well-functioning market mechanisms amplify the positive externalities of high-quality FDI on resource allocation. Second, the moderating role of intellectual property protection in FDI’s human capital effects exhibits significant heterogeneity across industries. Full article

Marine innovation, as a fundamental driving force behind the development of the marine economy, is crucial for the realization of the maritime power strategy. The reports from the 19th and 20th National Congresses of the Communist Party of China explicitly advocate for the acceleration of maritime power construction and emphasize the innovation-driven development strategy. Marine innovation and the resilience of the marine economy dynamically interact and mutually reinforce one another. Investigating the coordination between marine innovation and the resilience of the marine economy can provide theoretical support for regional marine technological innovation and sustainable economic development, thereby facilitating the achievement of innovation-driven development goals. This article establishes an evaluation index system for regional marine innovation capacity, considering two perspectives: marine innovation input and output. Additionally, it constructs an evaluation index system for marine economic resilience, which is based on three dimensions: resistance, robustness, and recovery. The entropy weight TOPSIS method is employed to calculate the sub-indices for China’s regional marine technological innovation capacity and marine economic resilience. Furthermore, a coordination degree and coordinated development degree model is developed to assess the coordination and development of marine innovation capacity and economic resilience across 11 coastal provinces (municipalities and autonomous regions) in China from 2013 to 2022. The research results indicate that from 2013 to 2022, the coordination degree of marine innovation capacity and economic resilience in the 11 coastal provinces (municipalities and autonomous regions) of China has exhibited a positive development trend. The southern and eastern economic circles display synchronized development patterns, with the southern economic circle experiencing the fastest improvements, while the northern economic circle shows slight regression. The marginal contribution of this study lies in the integration of marine innovation capacity and economic resilience for the first time, further exploring the degree of coordinated development based on coordination degree and providing a systematic analysis of the coordinated development of regional marine innovation and economic resilience from the perspectives of individual provinces and economic circles. Full article

The development of tourism governance (TG) is influenced by the tourism economy (TE), and the development of TE is guaranteed by tourism governance. This study investigates the development levels of the tourism economy and tourism governance, as well as their interactive coordination in 31 Chinese provinces (including municipalities and autonomous regions) from 2012 to 2021. First, the vertical and horizontal differentiation method was employed to measure tourism economy and tourism governance development levels. Second, the Panel Vector Autoregression (PVAR) model was adopted to examine the Granger causality and the interactive effects between the tourism economy and tourism governance. Third, the coupled coordination model, kernel density estimation, and Markov chain model were combined to explore the degree of coordinated development and the spatio-temporal evolutionary trend of TE-TG. The findings reveal the following: (1) The development level of the tourism economy exhibits a fluctuating upward trend, with its spatial distribution pattern demonstrating a distinct coastal-to-inland decreasing gradient. Meanwhile, tourism governance shows a steady improvement trajectory marked by significant regional disparities. (2) A long-term equilibrium relationship has been established between the tourism economy and tourism governance, with bidirectional Granger causality observed between the two systems. (3) The coupled coordination between the tourism economy and tourism governance has progressively increased. However, the development level of tourism governance still lags behind that of the tourism economy. The eastern and central regions demonstrate significantly higher TE-TG coordination levels compared to the western and northeastern regions. Full article

As a national ecological civilization pilot, Zhejiang’s growing vegetation carbon sink capacity is important for both regional ecological security and China’s carbon neutrality goals, but current studies lack a comprehensive assessment of multi-factor interactions. This study employed an improved Carnegie–Ames–Stanford Approach (CASA) and soil respiration empirical equation to estimate Net Ecosystem Productivity (NEP) in Zhejiang Province, and trend analysis, partial correlation analysis, and the GeoDetector model based on optimal parameters (OPGD) were utilized to investigate the spatiotemporal variations and driving factors of vegetation NEP. The results showed that the multi-year average NEP and carbon sink capacity in Zhejiang Province were 387.67 g C m⁻² a⁻¹ and 38.84 Tg C a⁻¹, exhibiting an increasing trend at an average rate of 2.15 g C m⁻² a⁻¹ and 0.23 Tg C a⁻¹, respectively. Spatially, NEP was higher in the western and southern mountainous regions and lower in the eastern coastal and northern plains. NEP in Zhejiang Province was driven by both natural and anthropogenic factors, with NDVI (q = 0.502) and elevation (q = 0.373) being the primary natural drivers, and nighttime light intensity (q = 0.327) and impervious surface dynamics (q = 0.295) being the main anthropogenic drivers. Moreover, the interactions among these factors all exhibited synergistic enhancement effects. Overall, Zhejiang Province functioned predominantly as a carbon sink, with its sequestration capacity gradually strengthening over time. The combined effects of natural and anthropogenic factors drove the spatiotemporal heterogeneity of vegetation NEP. These findings highlight the importance of coordinated ecosystem management strategies that consider both natural and anthropogenic-induced impacts to enhance the achievement of regional carbon sink goals. Full article

The environmental protection industry is central to China’s green transition and essential for achieving the “Dual Carbon” goals. Through the policy logic of expected environmental governance, high-quality employment in this sector serves as a demonstrative model for overall employment changes across society and plays a key role in coordinating the achievement of both environmental and economic objectives. This study proposes a comprehensive evaluation framework for assessing high-quality employment in the environmental protection industry. Using the entropy method, Moran’s Index, and spatial econometric models, we analyze data from 31 Chinese provinces over the period from 2011 to 2022. The results show a steady improvement in employment quality within the industry, although significant regional disparities persist, with eastern coastal provinces outperforming the western regions. Spatial autocorrelation analysis further reveals a positive spatial relationship in high-quality employment levels, indicating that neighboring provinces tend to exhibit similar employment quality. Additionally, factors such as economic development, fixed asset investment, government support, and R&D investment were found to significantly influence employment quality in the sector. These findings enrich the research on high-quality employment in specific industry sectors and improve the theoretical system of research on social employment quality under the “Dual-Carbon” policy. Full article