Search Results (346)

With the advantages of industrial integration, China’s recreational fishery sector represents a new trajectory in the transformation of the fishery industry. Coastal regions possess abundant fishery resources and have favorable geographical conditions, offering natural advantages for developing recreational fishing. However, substantial variations can be observed among regions regarding their resource endowments and economic conditions, leading to diversity in the driving forces and paths of recreational fishery development. This study employs panel data for 11 coastal provinces, municipalities, and autonomous regions in the Chinese mainland from 2005 to 2023 to explore the driving forces and regional heterogeneity of recreational fishery development. This paper employs fixed-effects estimation and further incorporates a mediating-effect model to explore the role of market demand in shaping the development path of recreational fisheries. The results are as follows: (1) Natural resource endowments and market demand are key driving forces that promote growth in the output value of recreational fisheries. (2) There is heterogeneity in the driving forces across regions. In areas with richer resource endowments or lower economic development levels, recreational fishery growth relies more on natural resource-driven mechanisms, whereas in regions with weaker resource endowments or higher economic development levels, market demand plays a more dominant role. (3) Market demand drives recreational fishery growth through the expansion of the tertiary sector. This paper offers a valuable reference for policymakers seeking to allocate resources more efficiently, support balanced regional development, and formulate tailored development strategies in accordance with local conditions, thereby facilitating the sustainable and high-quality development of the recreational fishery industry in the Chinese mainland. Full article

It is increasingly recognized that the twin transitions of digitalization and green transformation are pivotal to achieving sustainable development. This study examines how digital trade affects corporate green total factor productivity (GTFP), using panel data from Chinese A-share listed firms and 287 prefecture-level cities in Mainland China from 2012 to 2022. The results demonstrate that digital trade exerts a significant positive impact on GTFP, primarily through improvements in technical efficiency, with heterogeneous effects across different stages of the corporate life cycle. Endogeneity concerns are carefully addressed through instrumental variable estimation and quasi-experimental designs, and robustness checks confirm the reliability of the findings. Mechanism analyses further reveal that digital trade enhances GTFP by stimulating green technological innovation and optimizing supply chain management. Importantly, threshold regression reveals non-linear effects. Both the level of digital trade and institutional factors, such as environmental regulation, intellectual property protection, and market integration, moderate the relationship between digital trade and GTFP in U-shaped, N-shaped, and other positive non-linear patterns. These insights enhance the understanding of how digitalization interacts with institutional contexts to drive sustainable productivity growth, providing practical implications for policymakers seeking to optimize digital trade strategies and complementary regulatory frameworks. Full article

According to the “dual-carbon” goal, the solution to achieving balanced regional development and industrial structural optimization while promoting sustainable development goals lies in the synergistic evolution mechanism of carbon emission efficiency and green technological innovation. Using provincial panel data from China from 2000 to 2022, this study calculates industrial structural optimization coefficients for the “advanced,” “rationalization,” and “ecology” dimensions. The impact of green technological innovation on industrial structural optimization is experimentally explored using panel regression, threshold effect, and mediating effect methodologies, based on the constraint perspective of carbon emission efficiency. The findings show that (1) the optimization of the regional industrial structure is successfully driven by both carbon emission efficiency and green technological innovation; (2) the impact of green technological innovation on industrial structural optimization is positively regulated by carbon emission efficiency, which also helps to achieve sustainable economic transformation; and (3) this moderating effect exhibits significant regional heterogeneity and U-shaped nonlinear characteristics, in the order of “central > west > east”. This study reveals how green technological innovation affects industrial structural optimization under the constraint of carbon emission efficiency. It offers reference recommendations for the creation of sustainable development policies in the future. Full article

The operational integrity of the BeiDou-3 Navigation Satellite System (BDS-3) has been significantly challenged by electromagnetic interference, particularly from Distance Measuring Equipment (DME) ground beacons to the newly implemented B2a signal, since its full operational deployment in 2020. This study developed a comprehensive interference evaluation model based on receiver signal processing principles to quantify the degradation of B2a signal reception performance under DME interference scenarios. Leveraging empirical data from the DME beacon network in the Chinese mainland, we systematically analyzed the interference effects through an effective carrier-to-noise ratio ($C/N_0$), signal detection probability, carrier tracking accuracy, and demodulation bit error rate (BER). The results demonstrate that the effective $C/N_0$ of the B2a signal degrades by up to 3.25 dB, the detection probability decreases by 33%, and the carrier tracking errors and BER increase by 2.57° and 5.1%, respectively, in worst-case interference scenarios. Furthermore, significant spatial correlation was observed between the interference hotspots and regions of high aircraft density. DME interference adversely affected the accuracy, availability, continuity, and integrity of the airborne BeiDou navigation system, thereby compromising civil aviation flight safety. These findings establish a scientific foundation for developing Minimum Operational Performance Standards for B2a signal receivers and for strategically optimizing DME beacon deployment throughout the Chinese mainland. Full article

Severe fever with thrombocytopenia syndrome (SFTS), an emerging infectious tick-borne viral disease, is increasingly affecting human beings worldwide. SFTS monitoring has been carried out since 2010 in mainland China. Since 2022, an increase in local cases has been noted in the central coastal plain region of Hebei Province. This study aimed to identify the endemic region in the central coastal plain region by epidemiological characteristics, antibody surveillance and molecular characterization. Case data were obtained from the Chinese Disease Control and Prevention Information System. Serum samples from suspected or clinically diagnosed cases, the indigenous healthy population and native domesticated animals were collected for laboratory tests, along with ticks in the central coastal plain region of Hebei Province, China. The local cases were mainly distributed in Cangzhou City, located at the central coastal plain region of Hebei Province. The 0.68% of IgM antibody detection rate and 1.71% of IgG antibody detection rate in this study showed the potential existence of subclinical or mild infections in Cangzhou. Phylogenetic analysis indicated that all sequences from patients, ticks and sheep clustered within the F subtype, exhibiting a close evolutionary relationship and the possible circulation of SFTSV having established among animal hosts and ticks in Cangzhou. These findings first identify the natural focus of SFTSV in the central plain region of Hebei Province, highlighting enhanced surveillance measures for preventing and controlling SFTSV. Full article

Accurate representation of drainage density in a river network delineation is crucial for large-domain hydrodynamic simulations, but existing digital elevation model (DEM)-based methods fail to preserve observed drainage density across the entire network. This study introduces a fundamentally improved DEM-based river network delineation method that preserves observed drainage density by incorporating a novel concept of upstream accumulation length, which integrates flow direction and drainage density. A test case demonstrated the method’s compatibility with widely used critical drainage area-based methods; they produced identical results when using the same drainage density. The method was then applied to the Chinese Mainland using the MERIT-Hydro flow direction dataset and a drainage density dataset from the Third National Land Resources Survey of China. The resulting dataset shows superior performance in capturing drainage density variations, particularly in regions with complex topography, compared to existing datasets. The method is promising for delineating more accurate river networks by combining satellite-derived or surveyed drainage density with DEMs, thereby laying a valuable foundation for large-domain hydrodynamic simulations in vast regions of the globe, where there is a lack of manually maintained river geometry datasets. Full article

China has the world’s largest area of coastal aquaculture ponds, accounting for 39% of the total coastal aquaculture pond area worldwide. The rapid development of coastal aquaculture can significantly reduce global food shortages and support the development of marine economies on the Chinese mainland. However, coastal aquaculture ponds have been recognized as a beach hazard because they require pipes to be laid on the surface of the beach to discharge wastewater, polluting the beach and artificially dividing it into multiple segments. Based on a well-conceived remote sensing analysis, the erosion of beaches backed by densely distributed coastal aquaculture ponds was determined to be 10 m/y. A high-efficiency shoreline evolution model was verified using a satellite-derived shoreline dataset. For the present case, the Brier Skill Score (BSS) was calculated to be 0.55, indicating a moderate match between the modeled and satellite-derived shoreline datasets. The verified ShorelineS model was then used to predict the future evolution of a shoreline backed by densely distributed coastal aquacultural ponds. The retreat distance of the erosion hotspot was predicted to increase from 150 m in 2025 to 240 m in 2040. It is expected that the beach will lose the entirety of its dry part in the future. Potential strategies for beach protection include reasonable management and the ecological restoration and nourishment of the beach. Full article

The building sector is responsible for significant carbon emissions and energy consumption, making it a critical field for global energy-saving and emission reduction efforts to combat climate change. This study calculated the building carbon emissions (BCE) of 30 provinces in the Chinese Mainland from 2010 to 2020 using the IPCC carbon emission factor method based on the statistical data of energy consumption and building materials, and then the decoupling relationship between BCE and the construction land area (CLA) was analyzed. The results are as follows: (1) BCE exhibited an overall increase from 2010 to 2020, yet at a descending rate, with a prominent decrease in indirect BCE (IBCE); (2) BCE and direct BCE (DBCE) were higher in the north but lower in the south, while IBCE was higher along the eastern coast; (3) the provinces in North China and Northeast China possess the largest areas of construction land, but the growth of CLA was the slowest or even declined in the later stage of the study; (4) the decoupling relationship between BCE and CLA is dominated by expansive negative decoupling or strong negative decoupling. The growth of BCE is generally much faster than the expansion of construction land. The findings will have important reference for achieving energy-saving and “dual carbon” strategic development goals in China. Full article

Many studies were conducted during and after the COVID-19 pandemic to examine its impact on young people’s well-being. However, most studies are quantitative ones focusing on the negative impact of the pandemic on young people. In contrast, there are few studies examining the benefits of the pandemic using a qualitative methodology. Hence, we conducted focus group interviews to understand meaning-focused coping in 56 university students from late December 2022 to mid-January 2023 when Hong Kong was approaching the end of the pandemic. Thematic analysis using a deductive analytical approach based on the Revised Stress and Coping Model was applied during data analysis. The results showed that most students were able to generate positive experiences and emotions during the pandemic. Many of them reported improved mental well-being during the pandemic by infusing ordinary events with meaning. They engaged in adaptive goal processes by having a more positive attitude towards life. Students also found benefits in terms of enhanced personal strengths, better interpersonal relationships, and improved pandemic-related abilities. Furthermore, the current study compared the difference in the use of meaning-focused coping and perceived benefits by students with family or personal financial difficulties, students who coped well, and Mainland Chinese students studying in Hong Kong. This paper provides an alternative picture of the impact of the COVID-19 pandemic on university students. Full article

This paper explores the harmonious integration of Confucian moral values and officially sanctioned love-themed lyrics in music education across Mainland China. It addresses the main research question: What role do officially approved school songs, which embody themes of love related to three key relationships—(1) family and home, (2) teachers and friends, and (3) the Chinese Communist Party (CPC) and the Chinese nation—play in promoting the virtue of love through singing within Mainland China’s music education? By analyzing two sets of officially approved music textbooks for primary school students, consisting of a total of 24 volumes, this study reveals how love-themed lyrics serve as a medium for propagating political ideology while reinforcing traditional Confucian values among the younger generation. The research illustrates how love, as a fundamental virtue, is expressed and reinforced through these songs, highlighting their significance in fostering emotional and ethical development. The findings underscore the role of music education in cultivating a sense of community and national identity, as well as the interconnectedness of personal and collective values in shaping students’ moral frameworks. Full article

The coastal region of Fujian is part of the southeastern hilly and coastal geothermal anomaly zone and is a significant high-heat-flow area in mainland China. However, existing heat flow data suffer from low quality due to insufficient calculation depth and inadequate corrections; this hinders theoretical research and geothermal resource exploration in the region. This study obtained high-quality geothermal heat flow data through steady-state temperature measurements in six boreholes and thermal conductivity tests on 79 core samples collected in situ. The results indicate that the average heat flow values from four newly analyzed representative boreholes (HDR1, LJSZ, JM-1, DS) are 65.2 mW/m², exceeding the mainland Chinese average of 60.5 mW/m², highlighting the region’s high heat flow characteristics. This finding corroborates previous high-heat-flow measurements in the coastal area of Fujian and aligns with earlier studies. The research fills a gap in providing high-quality heat flow data for the region, enhances our understanding of its thermal state, and is significant for studying the distribution and development of geothermal resources in the area. Full article

Assessing urban green spaces’ (UGSs) serviceability is crucial for ecosystems and well-being, but traditional approaches focus only on the quantity of UGSs while neglecting their spatial configuration or depend on region-specific data sources, significantly limiting their applicability for comprehensive assessments and comparisons of UGSs. To address this problem, we proposed a novel triangular indicator framework for evaluating UGS serviceability from a spatial perspective using public geospatial data. This framework integrated three independent indicators to capture the ecological value and residents’ utilization of UGSs and one composite indicator for the proportion of high-quality UGS services. Our approach was applied across 368 cities in mainland China, and significant geographical differences in UGS provision and usage equality were identified. Cities with similar UGS service characteristics were grouped using clustering, providing tailored improvement suggestions. Lastly, a regression analysis was conducted to compare the proposed indicator system with traditional metrics in relation to economic, demographic, and environmental satisfaction data, highlighting the advantages of our approach and its complementary role alongside traditional ones. This study offers a new method for large-scale UGS evaluation, aiding policymakers in refining UGS distribution, improving environmental equality, and formulating effective planning strategies to promote sustainable urban development. Full article

As mathematics is the foundation for pursuing science, technology, engineering, and mathematics (STEM) majors, investigating the assessment of attitudes toward mathematics is essential for promoting the development of the STEM field. However, the work focusing on developing a survey of attitudes toward mathematics is limited in mainland China. This study built a theoretical construct of students’ attitudes toward mathematics based on the characteristics of the educational system in mainland China. A survey researchers could use to measure mainland Chinese students’ attitudes toward mathematics was created and developed according to the proposed theoretical construct. The target survey was validated using exploratory factor analysis (EFA) and evaluated using confirmatory factor analysis (CFA) based on 700 and 778 high school students from mainland China, respectively. Furthermore, the relationship between math attitudes and performance was used to check the construct of the developed survey. The finalized survey includes four scales: confidence (i.e., α = 0.90 with 10 items), anxiety (i.e., α = 0.90 with 10 items), value (i.e., α = 0.70 with 6 items), and enjoyment (i.e., α = 0.71 with 8 items). The overall results show that the survey is reliable and valid to measure secondary students’ attitudes toward mathematics, and thus suggest future studies about measuring Chinese secondary students’ attitudes towards mathematics by employing this survey. This study might draw the attention of researchers to investigate attitudes toward mathematics while exploring their affective and cognitive outcomes related to mathematics. Full article

We incorporated a comprehensive dataset encompassing recent measurements from satellites such as the Macau Science Satgellite-1 (MSS-1), Swarm, and CHAMP, as well as aero and ocean magnetic measurements, alongside ground-based data from 1936 to 2000. This amalgamation is the basis for constructing a lithospheric magnetic field model of the Chinese mainland, employing the three-dimensional Surface Spline (3DSS) model. Additionally, we used the World Digital Magnetic Anomaly Map (WDMAM)-2.1 and CHAOS-7.13 models to address data gaps horizontally and vertically. To evaluate the efficacy of the new model, we compared it not only with established models such as SHA1050, NGDC720, and LCS-1 but also with the new model excluding the MSS-1 data. The results show a high agreement between the 3DSS model and other global models at a spatial resolution of 0.05°. Furthermore, we inspected the rapid variations in the magnetic field with increasing altitude, demonstrating a smooth transition across the altitudes covered by the three satellites. Error analyses reflected the importance of MSS-1 data, which contributed notably to modelling by capturing finer-scale magnetic structures. The increased data availability correlated positively with the model’s accuracy, as evidenced by the Root Mean Square Error (RMSE), registering an optimal value of 0.02 nT. The new model reveals additional geological details in southern Tibet, northeastern Inner Mongolia, and the adjacent areas of Liaoning and Jilin provinces, which are not discernible in other global models. The relationship between these anomalies and heat flow in northeastern China appears less evident, suggesting a complex interplay of orogenic processes and surface mineralogy in shaping these magnetic signatures. Full article

Species of Ganoderma (Ganodermataceae, Polyporales) have been extensively utilized in traditional Chinese medicine for over two millennia, owing to their remarkable medicinal properties and diverse chemical constituents. Hainan Island, located in tropical China, harbors a rich diversity of Ganoderma species. Among these, certain varieties referred to as “Lingzhi Wang” or “Zhu Lingzhi” by indigenous communities are distinguished by their diminutive pilei and slender stipes. Despite their traditional recognition, these species have been subject to morphological confusion. In this study, specimens labeled as “Lingzhi Wang” or “Zhu Lingzhi” were subjected to comprehensive morphological examinations and molecular phylogenetic analyses. The findings reveal that the Ganoderma species characterized by small pilei and gracile stipes encompass at least five distinct species. Among these, two are new to science: G. baisuzhenii and G. shennongii. The remaining three species, G. bambusicola, G. flexipes, and G. subflexipes, have been previously described. Taxonomically, G. bambusicola was reported for the first time on the Chinese mainland. This study provides a clearer taxonomic framework for these medicinally significant fungi. Full article