Chinese Geographical Science最新文献

Urban tourism is considered a complex system, and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism, so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning. This paper uses geotagging data to compare the links between attractions in Beijing, China during four different periods: the pre-Olympic period (2004–2007), the Olympic Games and subsequent ‘heat period’ (2008–2013), the post-Olympic period (2014–2019), and the COVID-19(Corona Virus Disease 2019) pandemic period (2020–2021). The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination. The results show that the macro, meso-, and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks. The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure, suggesting that new entrants are more likely to be associated with attractions that already have high value. The mesoscale links attractions according to the common purpose of tourists, and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect, and the weak links between clusters result from attractions bound by incomplete information and distance, and the functional polycentric structure with a generally more efficient network of clusters. The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern, and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism, which aids in understanding the attraction network pattern at both macro and micro scales. Important approaches and practical implications for planners and managers are presented.

It is common to observe the epidemic risk perception (ERP) and a decline in subjective well-being (SWB) in the context of public health events, such as Corona Virus Disease 2019 (COVID-19). However, there have been few studies exploring the impact of individuals’ ERP within living space on their SWB, especially from a geographical and daily activity perspective after the resumption of work and other activities following a wave of the pandemic. In this paper, we conducted a study with 789 participants in urban China, measuring their ERP within living space and examining its influence on their SWB using path analysis. The results indicated that individuals’ ERP within their living space had a significant negative effect on their SWB. The density of certain types of facilities within their living space, such as bus stops, subway stations, restaurants, fast food shops, convenience shops, hospitals, and public toilets, had a significantly negative impact on their SWB, mediated by their ERP within living space. Additionally, participation in out-of-home work and other activities not only increased individuals’ ERP within living space, but also strengthened its negative effect on their SWB.

China’s low-carbon development path will make significant contributions to achieving global sustainable development goals. Due to the diverse natural and economic conditions across different regions in China, there exists an imbalance in the distribution of carbon emissions. Therefore, regional cooperation serves as an effective means to attain low-carbon development. This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intensity (ICEI) as a crucial factor. We utilized social network analysis and Local Indicators of Spatial Association (LISA) space-time transition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin (PRB), China from 2010 to 2020. The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression. The results were as follows: 1) the overall ICEI in the Pearl River Basin is showing a downward trend, and there is a significant spatial imbalance. 2) There are numerous network connections between cities regarding the ICEI, but the network structure is relatively fragile and unstable. 3) Economically developed cities such as Guangzhou, Foshan, and Dongguan are in the center of the network while playing an intermediary role. 4) Energy consumption, industrialization, per capita GDP, urbanization, science and technology, and productivity are found to be the most influential variables in the spatial differentiation of ICEI, and their combination increased the explanatory power of the geographic variation of ICEI. Finally, through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI, the study suggests joint carbon reduction strategies, which are centered on carbon transfer, financial support, and technological assistance among cities.

This paper aims to interpret the connotation of high-quality development of tourism economy (HQTE) from the perspective of the new development concepts of innovation, coordination, green, openness and sharing, and then to evaluate the spatial differentiation of China’s HQTE based on provincial panel data from 2009 to 2018. Specifically, we employ the spatial convergence model to explore the absolute and conditional β convergence trends of HQTE in the whole country and the eastern, central and western regions of China. Our empirical results reveal that: 1) within the decade, from 2009 to 2018, regions of China with the highest HQTE index is its eastern region followed by the central region and then the western region, but the fastest growing one is the western region of China followed by the central region and then the eastern region. 2) Whether or not the spatial effect is included, there are absolute and conditional β convergence in HQTE in the whole country and aforementioned three regions. 3) The degree of government attention as well as the level of economic development and location accessibility are the positive driving factors for the convergence of HQTE in the whole country and the three regions. The degree of marketization and human capital have not passed the significance test either in the whole country or in the three regions. The above conclusions could deepen the understanding of the regional imbalance and spatial convergence characteristics of HQTE, clarify the primary development objects, and accomplish the goal of China’s HQTE.

Marine science technology innovation provides power and guarantees for marine eco-civilization construction, which provides direction and material support for marine science technology innovation. Therefore, the coordinated development of the two is of great significance to the marine economy sustainable development in China’s coastal areas. On the basis of clarifying the connotations of marine science technology innovation and marine eco-civilization in China’s coastal areas from 2006 to 2019, the mechanism for their coordinated development was analysed. A comprehensive indicator system based on the connotation of the two was constructed, and the coordinated development relationship was empirically tested using the coupled coordination model and the panel vector autoregressive (PVAR) model. The results show that: 1) the level of China’s coastal marine science technology innovation continues to improve, gradually forming the core of the development of marine science technology innovation in the north, east and south of Shandong, Shanghai and Guangdong; the level of marine eco-civilization development fluctuating upward trend, showing obvious spatial differentiation characteristics. 2) The degree of coordination of marine science technology innovation and marine eco-civilization is growing over time. There is no causal relationship between marine science technology innovation and marine eco-civilization in the northern marine economic circle, but there is a two-way causal relationship between the two in the eastern and southern marine economic circles. 3) Marine eco-civilization shows a significant positive and continuous impact on marine science technology innovation, and marine science technology innovation shows a long-term, continuous, fluctuating, and lagging impact on marine eco-civilization. The overall role of marine eco-civilization on marine science technology innovation is dominant, and there are significant differences in the impact effects of the two major marine economic circles.

Under the influence of anthropogenic and climate change, the problems caused by urban heat island (UHI) has become increasingly prominent. In order to promote urban sustainable development and improve the quality of human settlements, it is significant for exploring the evolution characteristics of urban thermal environment and analyzing its driving forces. Taking the Landsat series images as the basic data sources, the winter land surface temperature (LST) of the rapid urbanization area of Fuzhou City in China was quantitatively retrieved from 2001 to 2021. Combing comprehensively the standard deviation ellipse model, profile analysis and GeoDetector model, the spatio-temporal evolution characteristics and influencing factors of the winter urban thermal environment were systematically analyzed. The results showed that the winter LST presented an increasing trend in the study area during 2001–2021, and the winter LST of the central urban regions was significantly higher than the suburbs. There was a strong UHI effect from 2001 to 2021 with an expansion trend from the central urban regions to the suburbs and coastal areas in space scale. The LST of green lands and wetlands are significantly lower than croplands, artificial surface and unvegetated lands. Vegetation and water bodies had a significant mitigation effect on UHI, especially in the micro-scale. The winter UHI had been jointly driven by the underlying surface and socio-economic factors in a nonlinear or two-factor interactive enhancement mode, and socio-economic factors had played a leading role. This research could provide data support and decision-making references for rationally planning urban layout and promoting sustainable urban development.

Shape irregularity, a sub-factor of parcel fragmentation is a problem that hinders sustainable agriculture and is solved using land consolidation projects. Determination of the parcel shape degree contributes significantly to spatial prioritization where there is also a high probability of achieving positive effects of consolidation projects. This study aims to determine the shape degree of the agricultural parcels both at singular and rural county scales in Tekirdag Province, Turkey in 2020 by combining the parcel shape index (PSI) with the minimum bounding geometry index (MBG) to improve parcel scores. Hot-spot zones of the highly irregular and near optimum parcels were also determined using Getis-Ord G_i* statistic. The parcel degrees were classified into four categories, namely highly irregular, irregular, regular and near optimum. The obtained unweighted scores of the parameters exhibit deviations from the expected values. After weighting by pairwise comparison, the values approached ideal scores. Among 346 740 parcels, 53% were highly irregular and irregular and 47% were regular and near optimum shapes after weighting whereas these were 70% and 30%, respectively before weighting. The average parcel degree of 63 rural counties was regular while the average parcel degree of the remaining 264 rural counties was irregular. The combined use of PSI and MBG index improved the correctness of the parcel shape score. It could be suggested to use as a tool in land consolidation prioritization.

As a typical region with high water demand for agricultural production, understanding the spatiotemporal surface water changes in Northeast China is critical for water resources management and sustainable development. However, the long-term variation characteristics of surface water of different water body types in Northeast China remain rarely explored. This study investigated how surface water bodies of different types (e.g., lake, reservoir, river, coastal aquaculture, marsh wetland, ephemeral water) changed during 1999–2020 in Northeast China based on various remote sensing-based datasets. The results showed that surface water in Northeast China grew dramatically in the past two decades, with an equivalent area increasing from 24 394 km² in 1999 to 34 595 km² in 2020. The surge of ephemeral water is the primary driver of surface water expansion, which could ascribe to shifted precipitation pattern. Marsh wetlands, rivers, and reservoirs experienced a similar trend, with an approximate 20% increase at the interdecadal scale. By contrast, coastal aquacultures and natural lakes remain relatively stable. This study is expected to provide a more comprehensive investigation of the surface water variability in Northeast China and has important practical significance for the scientific management of different types of surface water.

Examining the spatiotemporal dynamics and determinants of land urbanization is critical for promoting healthy urban development and the rational use of land resources. Based on the dataset consisting of land use change data and selected factors in 2010 and 2020, this study used visual analysis to reveal the spatiotemporal dynamics of land urbanization across prefecture-level cities in China. Meanwhile, the driving forces underlying land urbanization were examined by using geographical detector technique. Following are the findings: 1) we find that there exist notable spatial variances in land urbanization across prefecture-level cities. Currently, the differentiation in land urbanization between the northern and southern cities is more pronounced than that between the coastal and inland cities, or between the eastern and western cities. Prefecture-level cities located in central and western China have experienced the most rapid growth in land urbanization. Conversely, the growth rate in northeastern China is the lowest, while the velocity in eastern China remains relatively stable. By using spatial autocorrelation analysis, this study reveals that the land urbanization level in prefecture-level cities has significant spatial agglomeration. 2) We further find that land urbanization in China is influenced by factors related to urban land supply and demand, and urban population growth, economic growth, land financial and political incentive have greater impact on land urbanization than other factors. 3) We also find that the impacts of determinants on China’s land urbanization vary over time, the explanatory power of economic development increased, while the explanatory power of state forces declined. We argue that integrating the supply and demand factors of land urbanization can provide a more comprehensive understanding of the driving mechanisms underlying land urbanization in China and other transitional countries, and help decision-makers in these countries formulate more detailed and specific land urbanization policies.

Due to the acceleration of urbanization, the municipal waste (MW) problem has transformed into a global challenge for urban sustainability. To elucidate historical trends, current focal points, and future directions in MW research, we conducted a bibliometric analysis and employed knowledge graph visualization to scrutinize a total of 34 212 articles, which were published between 1991 and 2021 in the Web of Science (WoS) core database. The results indicated that current major research themes encompass waste classification and recycling, waste management and public behavior, waste disposal methods and technologies, as well as environmental impact and evaluation. There has been a shift in the research focus from the environmental impacts of waste incineration to sustainable management related issues. A comparison of research from six typical countries revealed the differences in research priorities and techniques advantages. Scholars from the USA and Britain initiated MW research earlier than other countries and investigated management issues in depth, such as public behavior and willingness to pay. Meanwhile, Japanese, German, and Swedish scholars conducted extensive studies on advanced waste treatment technologies, such as disposal and recycling, risk assessment, and waste-to-energy techniques. Chinese scholars placed particular emphasis on end-of-pipe treatments and their associated environmental impacts. Hotspots and potential future frontiers were identified by burst detection analysis. Keywords with high value of burst index (BI) worldwide are food waste and circular economy. Chinese scholars have put great efforts on waste environmental impact and its recycling technologies, while we’ re expecting to further investigating vulnerable population. Furthermore, this study contributes to bridging the regional gap of scientific research among different countries and fostering international collaboration.