County-level Cities Research Articles

Spatial Coordination Analysis and Development Methods of the Catering Sector in Yongkang City

The catering sector is recognized as a crucial driver for stimulating domestic consumption and fostering sustained economic growth. A scientifically informed spatial planning of the catering sector in county-level cities can help mitigate the overconcentration or excessive dispersal of resources, thereby enhancing the efficiency of land and commercial resource utilization, reducing waste, and promoting sustainable development within a county’s economy. This study focuses on Yongkang City, located in central Zhejiang Province, as a case study. Using Python 3.1 software to extract point-of-interest (POI) data, spatial analysis techniques such as standard deviation ellipses and kernel density estimation are employed to elucidate the spatial distribution characteristics of the catering sector, comprehensive transportation, and public services in Yongkang City. Furthermore, a coupling coordination degree model is utilized to quantify the coupling coordination degrees between the catering sector and comprehensive transportation (D1), as well as between the catering sector and public services (D2), ultimately assessing the overall coupling coordination degree among the three sectors (D3). Based on the analysis results, the coupling coordination degrees are categorized into five levels, followed by a detailed evaluation of the catering sector’s development across different subdistricts. The findings indicate a certain degree of spatial imbalance in the distribution of the catering sector in Yongkang City, with the western region exhibiting a more favorable development trajectory. Notably, Dongcheng Subdistrict achieved the highest coupling coordination degree (0.993), while the northern region, hindered by underdeveloped economic conditions and limited transportation infrastructure, exhibited the lowest coordination degree (0.098). Considering the unique developmental characteristics and current conditions of each subdistrict, this study advocates for the formulation of a long-term sustainable development plan for the catering sector in Yongkang City. The findings of this research may offer valuable insights for other regions and countries, thereby promoting the sustainable advancement of the catering sector.

Study on the Impact of Collective Commercial Construction Land Entering the Market on Rural Residents’ Income: Taking Deqing County, Zhejiang Province as an Example

The entry of collective construction land for business purposes is an important measure for deepening the reform of the rural land system, promoting the flow of urban and rural factors, and realizing rural revitalization. Since the production of the first batch of pilot projects in 2015, 33 county-level cities have participated in the pilot policy by 2023. Deqing County, Zhejiang Province, as the first area to participate in the pilot project, aims to achieve more fruitful results. This paper first examines how promoting farmers’ income through the market entry of agricultural land can be achieved, then uses the synthetic control method to quantitatively study the impact of collective operational construction land on farmers’ income using panel data from 2011 to 2019, and finally proposes relevant suggestions from the perspective of system reform.

Exploring ecological compensation standards in the urbanization process: An ecosystem service value-based perspective

Understanding the spatiotemporal changes in ecosystem service value (ESV) under urbanization, as well as the supply–demand relationship between different regions, can provide a consultation for ecological compensation (EC) standards. Taking Suzhou, a typical city experiencing rapid urbanization in the Yangtze River Delta, as a case study, this paper analyzes the spatiotemporal changes in land use and ESV from 2000 to 2020. To quantify the ecosystem service flow (ESF), we apply the breakpoint formula and field strength model. Additionally, an EC standard is established, taking population, area and GDP into account while specifying compensation. The findings reveal that urbanization has led to a substantial increase in built-up land in Suzhou, accompanied by continuous reductions in farmland and water bodies. As a result, ESV decreased from 153.07 billion CNY to 138.81 billion CNY. Furthermore, the research identifies a spatial pattern where ESV increases with distance from the city center but decreases with distance from the lake center. This pattern suggests a directional flow of ESV from lakes to cities. Notably, ESF mainly occurs in the southwestern and central areas of Suzhou, with areas closer to Taihu Lake experiencing greater ESV transfer. The transfer value ranges from 5.11 and 32.57 billion CNY. There is an imbalance between the supply and demand of ecosystem services. Therefore, specific county-level cities in Suzhou, namely, the Kunshan District and Industrial Park, emerge as contributors of EC and should contribute 71.94 and 80.74 billion CNY, respectively, to other cities. By formulating a novel EC policy for Suzhou, this paper provides a scientifically informed reference for promoting sustainable development.

Airport construction and entrepreneurship: Evidence from the newly registered company

We use a staggered difference-in-differences model to empirically investigate the relationship between airports and entrepreneurship, based on county airport data and the number of newly registered companies in China. The data has advantages in the long sample research framework from 2000 to 2019. We find that counties with airports have 14 more entrepreneurial opportunities per 10,000 people compared to samples without airports. The main conclusions still hold after conducting various robustness checks. We also find that airports have a spillover effect on entrepreneurship. A county without an airport still has higher entrepreneurship if there are more airports in the surrounding county-level city or province. Heterogeneity analysis shows that airports boost entrepreneurship more in service industries and other tertiary sectors. The effect is strongest in poorer regions and private firms and knowledge-intensive areas benefit more from airports for entrepreneurship. Finally, we find that airports increase entrepreneurial activity in a region by bringing in foreign investment, improving innovation, and upgrading industries.

Public Attitudes towards and Management Strategies for Community Cats in Urban China.

Managing community cats in urban China is a contentious and emerging issue, with debates centering on the most effective and humane approaches. This study aimed to investigate public attitudes towards community cats and various management strategies. A survey was conducted involving 5382 urban residents in China. Their attitudes towards the positive and negative roles of community cats in urban areas and their support for different management methods were examined, including trap-and-kill, taking no action, centralized management, and trap-neuter-return (TNR) and its variations. Results indicated that 63% of participants were willing to coexist with community cats, 71% opposed trap-and-kill, and 61% agreed or strongly agreed with the TNR method and its variations. Older residents or those with higher incomes were more likely to support coexistence with community cats. In contrast, younger or lower-income residents were more likely to support non-coexistence. Residents in first- or second-tier cities (e.g., Beijing, Hangzhou, and Jinan Cities in China) were more inclined to support trap-and-kill and less likely to support coexistence than their counterparts in fourth-tier cities (e.g., county-level cities in China). Moreover, those with lower education or incomes were more supportive of trap-and-kill and taking no action as the methods to manage community cats than those with relatively higher education or incomes. Those with higher incomes held more positive attitudes towards community cats and were more supportive of TNR and its variations than their counterparts with lower incomes. Males were more inclined to support trap-and-kill and taking no action and less inclined to support centralized management and TNR than females. The implications of the findings on TNR with adoption programs in urban China are discussed. These novel findings underscore the need for targeted educational campaigns to promote humane and effective management strategies, addressing public concerns and community cats' welfare. The study's insights are critical for informing policy and improving community cat management in urban China.

Driving Analysis and Multi Scenario Simulation of Ecosystem Carbon Storage Changes Based on the InVEST-PLUS Coupling Model: A Case Study of Jianli City in the Jianghan Plain of China

The carbon storage capacity of terrestrial ecosystems serves as a crucial metric for assessing ecosystem health and their resilience to climate change. By evaluating the effects of land use alterations on this storage, carbon management strategies can be improved, thereby promoting carbon reduction and sequestration. While county-level cities are pivotal to ecological conservation and high-quality development, they often face developmental challenges. Striking a balance between economic growth and meeting peak carbon emissions and carbon neutrality objectives is particularly challenging. Consequently, there is an urgent need to bolster research into carbon storage management. The study focuses on Jianli City, employing the InVEST model and land use data to examine the response patterns of land use changes and terrestrial system carbon storage from 2000 to 2020. Using the PLUS model, the study simulated the land use and carbon storage in Jianli City for the year 2035 under three scenarios: Natural Development scenario, Urban Expansion scenario, and Ecology and food security scenario. Our findings indicate the following: (1) Between 2000 and 2020, significant shifts in land use were observed in Jianli City. These changes predominantly manifested as the interchange between Cropland and Water areas and the enlargement of impervious surfaces, leading to a decrease of 691,790.27 Mg in carbon storage. (2) Under the proposed scenarios—Natural Development scenario, Urban Expansion scenario, and Ecology and food security scenario—the estimated carbon storage capacities in Jianli City were 39.95 Tg, 39.90 Tg, and 40.14 Tg, respectively. When compared with the 2020 data, all these estimates showed an increase. In essence, our study offers insights into optimizing land use structures from a carbon storage standpoint to ensure stability in Jianli’s carbon storage levels while mitigating the risks associated with carbon fixation. This has profound implications for the harmonious evolution of regional eco-economies.

Improving service accessibility and equity for sustainable development goals without newly facilities by rural settlement reconstruction

Ensuring the provision of accessible, affordable, and high-quality public services to all individuals aligns with one of the paramount aims of the United Nations’ Sustainable Development Goals (SDGs). In the face of escalating urbanization and a dwindling rural populace in China, reconstructing rural settlements to enhance public service accessibility has become a fundamental strategy for achieving the SDGs in rural areas. However, few studies have examined the optimal methods for rural settlement reconstruction that ensure accessible and equitable public services while considering multiple existing facilities and service provisions. This paper focuses on rural settlement reconstruction in the context of the SDGs, employing an inverted MCLP-CC (maximal coverage location problem for complementary coverage) model to identify optimal rural settlements and a rank-based method for their relocation. Conducted in Changyuan, a county-level city in Henan Province, China, this study observed significant enhancements in both accessibility and equity following rural settlement reconstruction by utilizing the MH3SFCA (modified Huff 3-step floating catchment area) and the spatial Lorenz curve method. Remarkably, these improvements were achieved without the addition of new facilities, with the accessibility increasing by 44.21%, 4.97%, and 3.11%; Gini coefficients decreasing by 19.53%, 1.64%, and 3.18%; Ricci-Schutz coefficients decreasing by 21.09%, 2.09%, and 4.33% for educational, medical, and cultural and sports facilities, respectively. It indicated that rural settlement reconstruction can bolster the accessibility and equity of public services by leveraging existing facilities. This paper provides a new framework for stakeholders to better reconstruct rural settlements and promote sustainable development in rural areas in China.

County-level carbon compensation zoning based on China's major function-oriented zones

Large but overlooked carbon inequalities among counties in China matter for the design of mitigation strategies. Here, we investigated the spatial heterogeneity of carbon inequality across 2236 county-level units nationwide from 2000 to 2020, refining carbon compensation zone types based on land functional zoning and estimating their carbon compensation values using a modified compensation model. Our results showed that China's carbon inequality consistently exceeded the cautionary threshold of 0.4 on the Gini coefficient. Significant spatial variations in carbon intensity were observed, notably concentrated in the North China Plain and Yangtze River Delta, indicating a pronounced core-periphery structure. The nonlinear relationships among carbon emission pressure (CEP), land use intensity (LUI), economy contributive coefficient (ECC), and ecological support coefficient (ESC) were identified. CEP and ECC posed initial increases followed by decreases with LUI, while ESC decreased with increasing LUI. The inverted U-curve between ECC and CEP suggested that most county-level cities have yet to reach the decoupling tipping point. Based on spatial comparative advantage, we identified 625 payment zones, 666 equilibrium zones, and 945 recipient zones, culminating in nine types of carbon compensation zones aligned with land functional objectives. Our study provides a new county-level carbon compensation zoning approach that can achieve carbon equity.

Urban resilience evaluation based on entropy-TOPSIS model: a case study of county-level cities in Ningxia, Northwest China

Urban resilience evaluation based on entropy-TOPSIS model: a case study of county-level cities in Ningxia, Northwest China

Refining Long-Time Series of Urban Built-Up-Area Extraction Based on Night-Time Light—A Case Study of the Dongting Lake Area in China

By studying the development law of urbanization, the problems of disorderly expansion and resource wastage in urban built-up areas can be effectively avoided, which is crucial for the long-term sustainable development of cities. This study proposes a high-precision urban built-up-area extraction method for county-level cities for small and medium-sized towns in county-level regions. Our process is based on the Defense Meteorological Satellite/Operational Linescan System (DMSP/OLS) and the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS), which develops long-term series of coordinated night-time light (NTL) datasets. We then combined this with the Normalized Vegetation Index (NDVI) to calculate the Vegetation-Adjusted NTL Urban Index (VANUI). We combine land use data and a support vector machine (SVM) for semi-supervised classification learning to propose a high-precision urban built-up-area extraction method for county-level cities. We achieved the following results: (1) we fit binary polynomials to the DMSP/OLS and VIIRS NTL datasets based on the correspondence of the mean values to construct a consistent time series of NTL data. (2) Our method effectively improves the accuracy of urban built-up-area extraction, especially for county-level cities, with an overall accuracy of 91.84% and a Kappa coefficient of 0.83. (3) Our method can perform a long-time series of urban built-up-area extraction, and, by studying the spatial and temporal changes in urban built-up areas, it can provide valuable information for sustainable urban development and urban planning.

Construction and Optimization Strategy of Ecological Security Pattern in County-Level Cities under Spatial and Temporal Variation of Ecosystem Services: Case Study of Mianzhu, China

Climate change and human activities are seriously affecting the ecological level and economic development of county-level cities. Mianzhu City is a typical county-level city located within the Chengdu-Chongqing Economic Circle and the Yangtze River Economic Belt. The study selected primary ecological sources by analyzing high-level ecosystem service functions over time, using Morphological Spatial Pattern Analysis (MSPA). Ecological resistance surfaces were constructed using natural factors to address ecological risks associated with future urbanization. The construction of the ecological security pattern (ESP) followed the source–corridor–node paradigm, incorporating changes in ecosystem service risks. From 2010 to 2020, ecosystem service functions and values in Mianzhu City declined overall, with significant spatial variations. Human activities increased in ecologically fragile areas, aggravating exposure to ecological risks from climate change and urban expansion. Ecological protection and restoration zones were identified, with nature reserves in the north and the southern center as the core. In 2020, 19 ecological sources and 46 ecological corridors were identified, with a spatial distribution pattern of “more length and short resistance in the north, less length and long resistance in the south”. Additionally, 41 ecological pinch points and 16 ecological barrier points were determined. Considering the spatial distribution of the core areas of ecosystem services and lands with human-intensive activities, setting up the general idea of the ecological restoration pattern centered on forests, river corridors, and natural and artificial landscapes. The study provides new insights into constructing and optimizing the ESP, offering crucial references for the rapid urbanization of ecological restoration and development planning in urban regions.

Exploring urban compactness impact on carbon emissions from energy consumption: A township-level case study of Hangzhou, China

Given that cities are the major contributors to carbon emissions, studying urban compactness (UC) and its impact on carbon emissions from energy consumption (CEECs) is crucial. This study calculated Hangzhou's township-level urban UC and CEECs using a hybrid subjective-objective weighted regression model on integrated panel datasets. By employing a geographically weighted regression (GWR) model, the spatio-temporal heterogeneity of the UC-CEEC relationship from 2006 to 2019 was uncovered. The results indicated an overall increase in UC, with significant variations across different counties. CEECs were higher in the central region, shifting eastward due to distinct urban development levels and policies. Moreover, the effects of various UC factors exhibited significant spatiotemporal inconsistency, with the impact intensity gradually diminishing. Additionally, the explanatory power of these factors declined and diversified over time. These findings emphasize the need for a comprehensive understanding of the relationship between UC and CEECs within the complex metropolitan environment and the importance of regulating their coordinated development. The research not only offers a more scientific approach to managing the growth of county-level cities and supporting balanced urbanization but also presents policy recommendations.

Psychological status of pregnant women during the omicron pandemic outbreak in China

BackgroundPregnant women faced great challenges and psychological and physiological changes of varying degrees during the omicron epidemic outbreak. It is important to recognize the potential impact of these challenges on the mental health of pregnant women and to provide appropriate resources and support to mitigate their effects.MethodBy using the convenience sampling approach, a total of 401 pregnant women from two hospitals of different grades in two cities were included in the survey. The cross-sectional survey was conducted by basic characteristics, Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), Insomnia Severity Index (ISI) and self-made questionnaire.ResultsInsomnia affected 207 participants (51.6%), depression affected 160 participants (39.9%) and anxiety affected 151 participants (37.7%). Moreover, pregnant women in provincial capital city were more likely to experience anxiety, depression and insomnia than those in county-level city (P < 0.01). Pregnant women’s anxiety, depression and insomnia were positively correlated with the severity of COVID-19 infection (P < 0.05). However, COVID-19 infection had no appreciable impact on maternal demand for termination of pregnancy and cesarean section (P > 0.05).ConclusionPregnant women frequently suffer from anxiety disorder, depression and insomnia as a result of the omicron pandemic in China. During this period, the community and medical professionals should provide more psychological counseling, conduct health education and offer virtual prenatal care to pregnant women (particularly in the provincial capital city).

Governance Priorities of an Atomized County-level City Born from “Town-to-city” Reform in China: A Comparative Analysis of Policy Texts of Local 14th Five-year Plan

Governance Priorities of an Atomized County-level City Born from “Town-to-city” Reform in China: A Comparative Analysis of Policy Texts of Local 14th Five-year Plan

Research on spatiotemporal patterns and influencing factors of county-level urban shrinkage in urbanizing China

County-level cities, as small-scale urban units in China's urban system, have shrunk due to uneven urban development in urbanizing China. This research constructed a framework for understanding China's county-level urban shrinkage. It defined county-level cities and measured shrinkage using the city shrinkage model, explored the spatiotemporal patterns combined with shrinking degrees and trajectories, and analysed the shrinking types based on city and city periphery perspectives. Then, the influencing factors were identified via the OLS regression model. Taking 2846 county-level cities as research units, the results showed that 180 and 1050 county-level cities shrunk in 2000–2010 and 2010–2020, respectively. Slight and moderate shrinkage dominated, but the proportions of high and severe shrinkage noticeably increased. In terms of shrinking trajectory, recent shrinkage was the main shrinking type. The spatial extent of shrinking county-level cities increased dynamically; the northeast, north, central and northwest regions were core agglomerations, and the east region emerged as an added agglomeration during 2010–2020. Absolute shrinkage became the main shrinking type significantly driven by "city–city" and "off-site urbanization" migration. Urbanization level, economic development, ageing degree, etc., were factors causing shrinkage. This study contributes to advancing understanding among scholars and Chinese policymakers about county-level urban shrinkage in urbanizing China.

The short-term effects of individual and mixed ambient air pollutants on suicide mortality: A case-crossover study

It is critical to explore intervenable environmental factors in suicide mortality. Based on 30,688 suicide cases obtained from the Mortality Surveillance System of the Jiangsu Provincial Centre for Disease Control and Prevention, we utilized a case-crossover design, and found that the OR of suicide deaths increased by a maximum of 0.71 % (95 % CI: 0.09 %, 1.32 %), 0.68 % (95 % CI: 0.12 %, 1.25 %), 0.77 % (95 % CI: 0.19 %, 1.37 %), 2.95 % (95 % CI: 1.62 %, 4.29 %), 4.18 % (95 % CI: 1.55 %, 6.88 %), and 0.93 % (95 % CI: 0.10 %, 1.77 %), respectively, for per 10 μg/m3 increase in the particulate matter (PM) with diameters ≤ 2.5 µm (PM2.5), PM with diameters ≤ 10 µm (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and per 0.1 mg/m3 increase in carbon monoxide (CO) concentrations with the conditional logistic regression analysis. People living in county-level cities were more susceptible. Particularly, a significant positive association was found between air pollutant mixture exposure and suicide deaths (OR=1.04,95 % CI: 1.01, 1.06). The excess fraction of suicide deaths due to air pollution reached a maximum of 8.07 %. In conclusion, we found associations between individual and mixed ambient air pollutants and suicide deaths, informing the development of integrated air pollution management and targeted measures for suicide prevention and intervention. Environmental ImplicationAs a major contributor to the global burden of disease, air pollution was confirmed by accumulating studies to have adverse impact on mental health, and potentially lead to suicide deaths. However, systematic studies on the association between air pollution and suicide mortality are lacking. We explored the associations of multiple air pollutants and pollution mixtures with suicide deaths and assessed excess suicide mortality due to air pollution, emphasizing the importance of air pollution control on suicide prevention. Our study provides evidence to support mechanistic studies on the association between air pollution and suicide, and informs comprehensive air pollution management.

Research on the mechanism of youth-friendly city impact based on structural equation model

For urban development, the focus must be on the youth, and the construction of youth-friendly cities is in line with the needs and trends of the times. However, existing research on youth-friendly cities mainly concentrates on policy principles, paying less attention to urban spaces closely related to the youth and lacking an evaluation mechanism for youth-friendly cities. Additionally, in current practices, the construction of youth-friendly cities is predominantly concentrated in economically developed first and second-tier cities, with insufficient implementation in county-level units. Against this background, this study employs a structural equation model to investigate the mechanism of youth-friendly cities. The research focuses on Suning County, aiming to explore the path of constructing a youth-friendly city at the county level and proposing effective strategies. The analysis involves the examination of existing resources, permanent population, age structure, and academic situations in Suning County. Subsequently, the study proceeds with model construction and fitting, followed by a fitness test of the model results to draw conclusions that aid in addressing challenges in the process of constructing a county-level youth-friendly city.

Spatial Analysis of Intercity Migration Patterns of China’s Rural Population: Based on the Network Perspective

Since entering the 21st century, many developing countries around the world have begun to enter a stage of rapid urbanization; large-scale “rural-urban” population migration has become a typical social phenomenon in these countries. Against this backdrop, this paper aims to elucidate the spatial migration characteristics of rural populations and to discuss future rural–urban development strategies. For this purpose, this paper takes China as a case and employs methods such as spatial autocorrelation analysis, hotspot analysis, and network analysis to construct an intercity migration network of rural migrants and analyze its spatial characteristics and internal structure. The results indicate that the migration pattern of the rural population exhibits notable spatial clustering features. Cities in the eastern and central regions are, respectively, hotspots for the inflow and outflow of rural populations, with internal migration dominating in western cities and relatively inactive rural population movements in northeastern cities. Municipalities directly under the central government, sub-provincial cities, and provincial capitals show a significant tendency to attract rural populations, while prefecture-level and county-level cities mainly radiate rural populations outward. Cities nationwide form seven major clusters in the migration network, and these clusters exhibit distinct structural characteristics. Rural population migration is influenced by various factors. In the future, considerations should focus on the county as the primary unit, attracting rural populations for local employment, and promoting rural revitalization and agriculture development. The findings of this paper are of reference significance not only to China but also to many developing countries with similar national conditions in the world.

Has the poverty alleviation resettlement projects achieved just transition in Nujiang Prefecture of Southwest China?: A way to achieve SDGs

From 2016 to 2020, China successfully assisted 9.6 million people below poverty line, making a making a substantial contribution to both the UN-defined Sustainable Development Goals (SDGs) and the global effort to reduce poverty. The literature reveals a focus on resettlement justice concerning livelihood transformation, re-siting, and public participation. However, a dearth of scholarly perspectives exists regarding migrants' comprehensive satisfaction indicators of just transition, particularly on sustainable assessment. Therefore, the study regards migrants as “customers” of PAR projects and assesses the degree of realization of a just transition of resettlement through their satisfaction. A multilayered comprehensive evaluation model is being formulated using the survey data of 515 migrants residing in three county-level cities in Nujiang Prefecture of southwest China. The results show that there is an increase in satisfaction with the impact of PAR on the migrant households' income, material assets, housing conditions, infrastructure, natural environment, children's educational level and ethnic cultures. Moreover, satisfaction with migrants' employment stability, social networking level, and the succession of local customs decreased. The results help to show that the PAR project does affect various aspects of migrants' lives, as well as contributing to the SDGs of social, economic, and environmentally sustainable development. The construction of a sustainable assessment system oriented to the combination of different dimensions of migrants' satisfaction and importance can help reduce the inequalities that may arise from the project. Boosting migrants' overall satisfaction is the most significant factor to consider when developing robust policies to increase poverty alleviation achievements and promote sustainable livelihood development.

Effectiveness Test of Rural Revitalization Demonstration Policy on Rural Economic Development in China: Analysis of DID Based on the Data of Henan Province in China

Demonstration Policy on rural revitalization aims at driving the economic development of the entire region through the demonstration effect. Using the panel data of 15 rural revitalization demonstration areas in Henan province of China from 2013 to 2020, this study explores the promotion effect of rural revitalization demonstration policies on rural economy through the Differences-in-Differences (DID) method. The results show that the construction of rural revitalization demonstration areas has significantly promoted the growth of local economy. The demonstration effect is the best in the middle of the economic development, followed by the better economic development of the demonstration, and finally the economic backwardness of the demonstration. More specifically, the order of effect from large to small is as follows: counties (second-level administrative regions), poverty-stricken counties (third-level administrative regions), county-level cities (first-level administrative regions).