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Copyright of China Quarterly is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The coexistence of urban expansion and shrinkage in China has become increasingly apparent; therefore, the current strategic model of growth-oriented urban planning as the top-level design needs to be adjusted. This paper focuses on the city of Baishan, which is a typical shrinking city in China, and explores the feasibility of implementing the concept of smart shrinkage planning in shrinking cities in China by constructing a coupled PLUS-SD model. The results demonstrate the following conclusions: (1) The overall simulation of the coupled PLUS-SD model is superior to that of the PLUS model. In Baishan, the areas with the most changes in construction land will be located at the edges of the landforms by 2030. (2) Using the traditional planning scenario would only exacerbate the rate of construction land expansion in Baishan, deepening the incongruity between the city's population and construction land. (3) The smart shrinkage scenario will require strict control of the scale of construction land and optimization of the structure of the urban construction land, which would push the city in the direction of healthy and sustainable development. (4) The concept of smart shrinkage planning is a scientific and feasible plan for realizing the efficient and sustainable use of construction land in shrinking cities. [ABSTRACT FROM AUTHOR]

The Yangtze River Economic Belt (YREB), an important industrial belt for food security for China, is facing the challenge of decreasing cultivated land in the process of rapid urbanization. In this case, how to improve the cultivated land use efficiency (CLUE) has become the top priority. Based on data from 108 cities of YREB from 2001 to 2019, we measured CLUE using a slack-based measure with undesirable output (SBM-Undesirable). The high-value area of CLUE shows a trend from multi-core agglomeration to two-core agglomeration, mainly concentrated in Chengdu-Chongqing urban agglomeration and the northern part of the YREB. Then the paper examines the spatial effect of urbanization on CLUE using the Spatial Error Model (SEM). The result shows that population urbanization has significantly promoted the improvement of CLUE in YREB during the sample period. With each percentage point increase in population urbanization, CLUE will increase by 2.99%. Land urbanization has a negative impact on CLUE, for each percent increase in the expansion of urban spatial scope, CLUE will decrease by 0.06%. The spatial heterogeneity analysis shows that population urbanization in the lower reaches has significantly promoted CLUE, with a coefficient of 1.053. The population urbanization level in the middle and lower reaches of the region has no obvious effect on CLUE. The coefficient of land urbanization in the downstream region is 0.35, which significantly promotes CLUE. The coefficient in the middle is −0.26, which implies the CLUE decreases by 0.26% for every one percentage point increase in land urbanization. Land urbanization in the upper has no significant impact on the CLUE. Policy implications include improving the quality of the three major urban clusters along the YREB, building an ecologic protective screen in the upper, encouraging a new agricultural management system and detailed regulations related to the cultivated land protection in YREB. [ABSTRACT FROM AUTHOR]

Congestion and long commutes would lower the livability of cities. To curb such externalities, various policies have been adopted to limit urban sprawl. However, the empirical relationship between urban sprawl and traffic externalities is ambiguous. This paper investigates this issue by examining state-built new towns (a particular feature of China's urbanization processes) and congestion delay indices (measured from the data for urban trips). The results show that the number of new towns was positively correlated with intra-urban congestion and negatively correlated with traveling speed. Further, the congestion effects were severe during rush hours. Cities with more new-town projects have more residents choosing long-distance commuting modes, and greater average commuting time and distance. This finding shows a worse job–housing balance in the city. Moreover, these traffic externalities were primarily caused by new towns built since 2008, which have a larger scale and longer distances to the urban center. [ABSTRACT FROM AUTHOR]

While rapid urbanization promotes social and economic development, it exacerbates human outdoor thermal comfort, which increases the risks to human health. This paper uses four thermal comfort indices and multiple satellite observations to explore the urbanization effect on summer heat stress in Guangdong from 1979–2018, a coastal province of China. Two types of thermal comfort index are used here, namely the direct thermal comfort index (Heat Index, HI; Temperature–Humidity Index, THI; Discomfort Index, DI) and the physiological thermal comfort index (Universal Thermal Climate Index, UTCI). We compare the differences in the urbanization effects on the changes in the three direct thermal comfort indices (HI, THI, and DI) and a physiological thermal comfort index (UTCI). The results show that all four thermal comfort indices indicate an overall warming trend. Of them, urban sites show a higher warming trend than rural sites, indicating that heat stress changes are significantly influenced by urbanization from 1979–2018, which is consistent with the effect of urbanization on surface air temperature. However, except for the UTCI, this warming of direct thermal comfort indices affected by urbanization has become insignificant under the regional vegetation greening from 2004–2018 (also consistent with surface air temperature). This is primarily attributed to the different effects of wind speed on the physiological thermal comfort index in urban and rural areas: Decreasing wind speeds in urban areas lead to an increase in UTCI, while wind speeds in rural areas increase instead and decrease UTCI, thus widening the UTCI differences between urban and rural areas. Our results indicate that urbanization has a different effect on thermal comfort indices. When using the thermal comfort index, it is necessary to consider that different thermal comfort indices may bring different results. UTCI considers more factors that affect human heat perception, so it can better describe human outdoor thermal comfort. It also highlights the importance of urban ventilation and urban greenness in mitigating urban outdoor thermal comfort in the sustainable construction of future urbanization in coastal cities. [ABSTRACT FROM AUTHOR]

With the rapid development of digital finance, the implementation of digital infrastructure is becoming increasingly significant. Broadband construction is an important part of the communication network, and can promote urban infrastructure in cities. However, whether the development of broadband can affect housing prices by affecting the urban infrastructure and the convenience of residents is a question worth addressing. In this study, using panel data regarding cities in China, we used the spatial multi-period difference-in-differences (SDID) model to investigate the utility of the Broadband China Policy (BCP) on urban house prices and the mechanism of impact. We found that the BCP can increase house prices, and that this impact has a positive spatial spillover effect. This conclusion still held after a series of tests such as parallel trend tests, placebo tests, and the exclusion of other policy effects. The BCP can increase house prices by improving urban infrastructure, promoting urbanization, and optimizing urban industrial structure. In addition, we conducted a heterogeneity analysis by taking into consideration the administrative level, economic development level, and location of cities. The findings of this paper not only enrich the research on the BCP and housing prices, they also provide policy recommendations in terms of urban land use and sustainable development. [ABSTRACT FROM AUTHOR]

Industrial agglomeration is one of the primary driving factors in city creation, and the improvement of urban land green use efficiency (ULGUE) is an important part in green development. This study concentrates on the impact of industrial agglomeration on ULGUE in the process of urbanization. Based on the panel data of 283 cities in China from 2003 to 2019, this paper constructs a super efficiency SBM-DEA model including unexpected outputs to evaluate ULGUE. Using a spatial Durbin model, we examine the spatial spillover effects of manufacturing and productive services agglomeration on ULGUE. The results show the following: (1) There has been fluctuation over the study period, which can be classified into three stages, and ULGUE in China as a whole is on the rise. (2) Chinese ULGUE has increased greatly in the western and northeastern regions, changed massively in the eastern region, and stayed largely steady in the middle region. The degree of manufacturing agglomeration is further improved, exhibiting a feature resembling a ladder, with high concentrations in the southeast coastal region and low concentrations in the interior. Production service industry agglomeration intensity has declined, revealing a more dispersed spatial pattern. (3) The rise in local ULGUE will have a beneficial impact on the ULGUE of spatially correlated regions, according to ULGUE's relatively strong spillover effect. (4) Manufacturing agglomerations can enhance the ULGUE in the neighborhood, but it is not obvious how this will impact the local regions. The agglomeration of production service industry can enhance the improvement of ULGUE in local and spatially correlated regions, but the direct effect is weak. (5) The integration of the manufacturing and productive service industry does not quite strengthen its stimulatory effects on the growth of ULGUE. [ABSTRACT FROM AUTHOR]

Although some methods have identified the physical urban area to a certain extent, the driving factors for the identification threshold have not been studied deeply. In this paper, vector building data and road intersection data are used for comparative validation based on the urban expansion curve method to identify the physical urban area using the meso-city scale. The geographical detector technique is used to detect how and to what extent the urban spatial structure factors, geographical environment factors and social economic factors affect the optimal distance threshold of 22 administrative districts in the Chongqing municipality. The results based on the vector buildings are more precise and show the characteristics of the physical urban area of core-periphery distribution and the distribution along the water corridor. From the results of quantitative attribution, it was found that the road network density, building density, urbanization rate and urban population density, and their interaction with regional GDP, play a critical role in the optimal distance threshold, with the index value of influence degree ≥0.79. Under the influence of different factors, the optimal distance thresholds of 22 administrative districts show adaptive characteristics. Looking forward to the future, this study provides ideas for further research on the morphological characteristics and distribution laws of multi-spatial scale cities. [ABSTRACT FROM AUTHOR]

The urban-rural gap of elementary education seriously affects social fairness, so the study on the urban-rural gap of elementary education can help promote social fairness in China. China's urbanization is an important variable affecting the social process, and its impact on the urban-rural gap of elementary education is worthy of further study. Based on China's provincial panel data from 2006 to 2017, this paper uses the Theil index to measure the urban-rural gap in different aspects of elementary education and uses principal component analysis (PCA) to construct a comprehensive index to objectively measure the urban-rural gap of overall elementary education in China. Our results show that the gap between urban and rural areas in China's elementary education showed an upward trend from 2006 to 2010, and the gap decreased year by year from 2010 to 2017. Then we used the panel smooth transition regression (PSTR) model to study the impact of urbanization on the urban-rural gap of elementary education in China and find evidence that urbanization has a nonlinear effect on the urban-rural gap of elementary education. That is, in economically underdeveloped areas, urbanization exacerbates the gap between urban and rural areas in elementary education, while in economically developed areas, urbanization narrows the gap between urban and rural areas in elementary education. Therefore, developing economy and continuing to promote urbanization are effective measures to narrow the gap between urban and rural areas in elementary education. [ABSTRACT FROM AUTHOR]

China's rapid urbanization has been accompanied by serious urban sprawl. Instead of measuring the physical urban boundaries (PUBs), most of existing studies in China rely on yearbook statistics to describe the growth of urbanized area; therefore, the understanding of the actual form and quantity of urban sprawl are restrained. As the statistical unit is generally at or above the county level, these studies tend to omit the lower-level "larger towns". This paper discusses the measurement of urban sprawl and compactness using multi-source data on the GIS platform through the case study of the Wen-Tai region in China. GlobeLand30 remote sensing image data, vector road network data, NPP/VIIRS nighttime light data, and points of interest (POIs) data are adopted. The new method enhances the identification of built-up areas in larger towns. Besides, the 2020s' PUBs of this region, data for 2010 and 2000 are retraced to assess the urban expansion rate, and two approaches are used to discuss the urban growth pattern. Additionally, a compactness model is constructed from four dimensions, i.e., the compactness of external contour, accessibility of road network, land-use intensity, and functional diversity, by which a high-resolution visual analysis tool is created for the provincial government to monitor urban sprawl. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Yangtze Normal University is the property of Journal of Yangtze Normal University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The State Council of the People's Republic of China issued the National Territory Spatial Planning Outline (2016--2030), which is a fundamental guide and blueprint for China to achieve its Sustainable Development Goals (SDGs). Based on its sustainable-city initiatives, this paper establishes a "four-space (4S)" assessment framework, and measured the urban development quality (UDQ) of 336 cities in China. Then we analyzed the spatial patterns of UDQ, and identified the main obstacles. Our results show that there is considerable room for improvement in UDQ in China. The spatial pattern of UDQ shows that the eastern economic zone score is higher than the western score and the northern lower than the southern. The spatial efficiency, structure, and quality in Chinese cities have significant hierarchical structure, while the form pattern is complicated. The most important obstacle to China's high-quality development is spatial efficiency. The most significant limiting indicator is the industrial structure, followed by land output level and land consumption per unit GDP. Our findings help enhance the effectiveness of National Territory Spatial Planning policy implementation and guide China's urban planning and management to achieve sustainability. [ABSTRACT FROM AUTHOR]

Better modeling of urbanization trends helps improve our understanding of the potential range of future energy demands and carbon dioxide emissions in developing countries and make informed response strategies. This paper extends the current analytical structure by integrating the population migration process from rural to urban areas with the energy system into a systematic framework, within which a link between urbanization and energy service demands through direct and indirect effects is built. Taking China as a study case, the results show that approximately 333 million people from rural areas are expected to migrate to urban areas toward 2050, resulting in the expansion of large-sized cities and the rapid growth of future energy service demands. Without significant technological improvements, urbanization will lead to more than double and triple the current energy consumption levels by 2050 in the building and transport sectors, respectively, while energy consumption growth in the industry sector will be the largest due to the rising demand for materials through the indirect effect. As a result, urbanization in China will cause more than double the total primary energy demand and an 82% increase in the carbon dioxide emissions by 2050, compared with 2013. In response, major mitigation measures and the role of each sector in the low carbon urbanization transition have been identified. Non-fossil fuel power generation is the top mitigation strategy, which can contribute 40% to the total mitigation potential, while power sector and industrial sector play a key role in realizing an earlier peak for the whole country. The total capital investment needed in each period will cost less than 2.5% of the total gross domestic product (GDP). Therefore, this work highlights the importance of understanding urbanization impact on energy system through applying an integrated population-energy-environment analytical framework and synthesizing the urbanization and long-term low carbon strategies in developing countries which are under rapid urbanization process. [ABSTRACT FROM AUTHOR]

China's urbanization in the late twentieth and early twenty-first centuries is a crucial process in transforming the country. Taking advantage of the de facto counts of city population in the last four censuses since 1982, this paper examines the city-size distribution and growth pattern of large cities in China in recent three decades. Combined with earlier data and work on the Mao era, the paper also presents some long-term trends and helps answer an important question: was China successful in controlling the growth of large cities? In addition, the paper analyzes the main features of China's urbanization policy in relation to the political economy and development strategy, and concludes with a discussion of the relevance of this study to the latest urbanization policy and the household registration system or hukou reforms in large cities. [ABSTRACT FROM AUTHOR]

Since the 21st century, the world has increasingly focused on the issue of sustainable development, and the green transformation issues have become a new hot topic worldwide. Green and low-carbon transformation has become an international consensus. Urban agglomerations are important connections between urban development and regional coordination, as well as important spatial carriers for economic activities. They are not only the main source of carbon emissions, but also the main battlefield for energy conservation and emission reduction. As an important field for carbon reduction, the green transformation of cities is crucial for achieving the "dual carbon" goals. This article focuses on 48 cities in the three most mature and influential urban agglomerations in China from 2011 to 2019, namely, the Beijing-Tianjin-Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration. The three-stage DEA model and Malmquist index model are used to measure the green transformation efficiency of the three urban agglomerations from both dynamic and static perspectives, and a Tobit regression model is constructed to explore the influencing factors of green transformation efficiency in urban agglomerations. Research has found that: 1) From a static perspective, the overall efficiency of green transformation in the three major urban agglomerations is at a high level, but from a temporal perspective, it shows a downward trend. The Pearl River Delta urban agglomeration is known for its green development, with the highest average efficiency of green transformation, followed by the Yangtze River Delta urban agglomeration. The Beijing-Tianjin-Hebei urban agglomeration has the lowest level of green transformation; 2) From a dynamic perspective, technological progress is the main driving factor for improving the efficiency of green transformation in the three major urban agglomerations. Therefore, the government should pay special attention to the progressiveness of technology when formulating relevant policies to promote urban green transformation; 3) From the perspective of spatiotemporal differences, there are significant differences in the spatiotemporal characteristics of green transformation among the three major urban agglomerations, and there are significant differences in green transformation strategies among different urban agglomerations. Eliminating environmental factors and random interference is necessary for accurately measuring the efficiency of green transformation in urban agglomerations; 4) From the perspective of influencing factors, factors such as industrial structure upgrading, green innovation level, and environmental regulation intensity jointly affect the efficiency of green transformation in urban agglomerations. Based on this, we should pay attention to the differences between urban agglomerations and implement policies tailored to local conditions; Strengthen the network system of urban agglomerations and avoid conflicts between cities; Encourage green technology innovation, accelerate industrial structure upgrading, and so on. This article focuses on the issue of green transformation in urban agglomerations, and conducts research from three perspectives: efficiency measurement, influencing factors, and implementation mechanisms. A relatively systematic theoretical framework for green transformation in urban agglomerations is formed, and an evaluation index system for green transformation efficiency in urban agglomerations is constructed and optimized. The composition mechanism of the five dimensional evaluation system for transformation efficiency is analyzed, and the bottleneck and breakthrough direction of the three major urban agglomerations in China in the development process are grasped. It has a good demonstration effect on the green transformation of other urban agglomerations. [ABSTRACT FROM AUTHOR]

The improvement of traffic location conditions is an important driving force for the development of regional urbanization. Establishing a quantitative correlation model between them is the basic premise for finding out the evolution rules of regional development patterns. Taking China’s Chongqing Municipality as an example, through Regional Traffic Dominance (RTD) modelling, this paper quantitatively analyzed the time-series response relationship between the evolution of RTD and urbanization in the past 10 years. The results show that there is a strong positive correlation between RTD and urbanization. Meanwhile, the temporal-elasticity is following a certain pattern determined by the grade of transport network. [ABSTRACT FROM AUTHOR]

Cities are not only connected through conventional infrastructure, but also through digital infrastructure. This paper tests whether digital connectivity patterns follow traditional ones. Using a generalized spatial interaction model, this paper shows that geography (and distance) still matters for an extensive set of world cities. With a view to the rapidly rising urbanization, the attention is next focused on the emerging large cities in China to test the relevance of distance frictions − next to a broad set of other important explanatory variables − for digital connectivity. Various interesting results are found regarding digital connectivity within the Chinese urban system, while also here geography appears to play an important role. [ABSTRACT FROM AUTHOR]

In this paper, we present an overview of urban practice in China since the late 1970s and come up with a refreshed concept regarding "new towns" as existing in a widely different politico-economic context. With the urbanization of capital being the theoretical backbone of this paper, we attempt to reveal basic laws inherent in the emergence and proliferation of various forms of urban spaces within a rapidly modernizing country. Considered from various viewpoints such as land institutions, national policy designs, and the financial capital and bank system, our paper covers: a historical overview of China's post-reform new towns, a theoretical framework to explain related phenomena, empirical approaches to interpreting the contributory factors, and a theoretical outline for further research. [ABSTRACT FROM AUTHOR]

Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression (MLR) model and geographic weighted regression (GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent of its influence is gradually increasing. In addition, the level of city administrative, the efficiency of urban expansion and the capacity of market consumption also have an important influence on the coupling pattern. [ABSTRACT FROM AUTHOR]

With the increasing uncertainty of urban development, urban shrinkage in the rapid urbanization process in China has become increasingly serious. While many studies have explored urban shrinkage from the economic and population perspectives, they often ignore the essence of the phased evolution of economic and population factors. Thus, this study introduces the theory of economic resilience into the field of urban shrinkage and constructs a theoretical method for identifying urban shrinkage by integrating economic resilience and population change to reveal the evolutionary trajectory of regional urban growth and shrinkage. The results show that urban economic resilience and population change in the Shanxi-Shaanxi-Inner Mongolia region (SSIMR) exhibit strong volatility, highlighting the importance of conducting urban shrinkage studies within specific crisis disturbance scenarios. In the context of the "new normal of the economy", the economic resilience of cities in the SSIMR has significantly declined, and the problem of economic recession is gradually intensifying. The population change trend of cities in the SSIMR is relatively stable, with population loss being a common problem in urban development in the area and its scope and intensity increasing daily. Urban development in the SSIMR is evolving from global growth to widespread shrinkage, with 56.67% of the cities experiencing relative shrinkage, showing a spatial pattern of "western growth–eastern shrinkage". Factors such as the agglomeration effect, industrial structure, and policy system collectively shape the evolution of urban growth and shrinkage. [ABSTRACT FROM AUTHOR]

In the rapidly urbanizing world, as one of the distinct anthropogenic alterations of global climate change, global warming has attracted rising concerns due to its negative effects on human well-being and biodiversity. However, existing studies mostly focused on the difference in temperature elevation among urbanized areas and non-urbanized areas, i.e., rural or suburban areas. The allometric urban warming at intra-urban scales was overlooked. This research aimed to expand our understanding of urbanization–temperature relationships by applying a concept of a "previous-new" dichotomy of urbanized areas. To quantify the land surface temperature (LST) dynamics of 340 cities in China, we analyzed the LST of different land use types through trend analysis and absolute change calculation models. The urban heat island (UHI) effect of two spatial units, i.e., newly expanded urbanized area ("new UA" hereinafter) during 2000–2015 and previously existing urbanized area ("previous UA" hereinafter) in 2000, were compared and discussed. Our findings reveal that urban growth in China coincided with an LST increase of approximately 0.68 °C across the entire administrative boundary, with higher increases observed in regions between the Yellow River and Yangtze River and lower increases in other areas. Moreover, the new UA exhibited significantly greater LST increases and urban heat island intensity (HUII) compared to the previous UA. The dynamics of LST corresponded to the speed and scale of urban growth, with cities experiencing higher growth rates and percentages exhibiting more pronounced LST increases. This study reveals the impact of the underlying surface on human settlements on a large scale. [ABSTRACT FROM AUTHOR]

Urban Agglomeration (UA) is regarded as an emerging complex urban system in China. The development of UA demands a reasonable scale structure, which can be investigated by Zipf's law. However, few studies have been conducted to quantify the optimal scale of UA and how its development deviates from the optimal scale. With the continuous urban expansion, the problem of UAs' scale structure has received increasing attention. In this study, we propose a method based on Zipf's law for estimating the theoretical optimal scale of UAs in China and assessing the deviation rate from their optimal scales. Twelve typical UAs in China are selected, and their development is assessed via urban impervious surface data from 2000 to 2018. The results show that the average deviation rate of the investigated UAs decreased from 3.40% in 2000 to 2.32% in 2018, demonstrating that these UAs are on a positive evolution trajectory. Furthermore, according to the development stage, we make recommendations on "large cities vs. medium/small-sized cities and promoting vs. restraining" to each UA based on its size. The conceptual and analytical knowledge, as well as the results from this study, are expected to offer valuable insights and new references for regulating and managing UAs' development in China. [ABSTRACT FROM AUTHOR]

Urban infrastructure has been substantially upgraded in reform-era China. This paper explains, contextually and empirically, how Chinese cities finance their infrastructure. It demonstrates that China has succeeded in addressing urban infrastructure backlogs by opening up new venues for financing, but simultaneously, heavily relying on unconventional sources. The paper also argues that urban infrastructure financing has much to do with the country’s transition to a market-oriented economy that fosters the pro-growth role of city governments as well as the redistribution of fiscal power between the levels of the urban hierarchy that produces significant variation of financial capacities among the different administrative ranks of cities. [ABSTRACT FROM PUBLISHER]

China's accelerating urban growth over the past decade has been examined from the perspectives of state devolution or place-making initiatives. Relatively little has been written to contextualize the burgeoning urbanism in China's reform and the resultant changing relationship between state and market. Through an investigation of fiscal and land use reforms since the mid-1990s, this paper argues that China's gradual and partial reform has fundamentally re-engineered local states from inward-looking market actors running business to entrepreneurial market governors controlling land supply. Though this transition has triggered urban growth by levering manufacturing and real estate capital, it has also introduced constraints for future urban development by generating inter-regional tensions and making further reforms politically difficult. This paper concludes that sustainable urbanism requires a more clearly oriented and more holistic reform framework. [ABSTRACT FROM AUTHOR]

• Urban ecological resilience (UER) was evaluated in a three-stage framework. • Four-quadrant model was constructed to analyze the relationship of urbanization-UER. • Urbanization continuously coordinated with UER in NSEBTM from 2005 to 2020. • CUL-lagging city faced more pressure of coordination than UER-lagging city. Revealing the relationship between urbanization and urban ecological resilience (UER) is essential for high-quality urbanization and urban ecosystem sustainability. In this study, we evaluated the comprehensive urbanization level (CUL) and UER in the Northern Slope Economic Belt of Tianshan Mountains (NSEBTM), and analyzed the relationship evolution between CUL and UER using the Pearson correlation analysis, four-quadrant model and Markov transition matrix. The results showed that the overall CUL and UER in the NSEBTM gradually increased from 2005 to 2020 while presenting significant spatial heterogeneity. The distribution of CUL displayed a decrease from middle to both sides, and the UER in the western area was generally higher than that in the central and eastern areas. In addition, there was a significant positive correlation between CUL and UER, with the number of double-high cities increasing whereas the number of double-low cities decreasing during the research period. Compared with the UER-lagging cities, the CUL-lagging cities faced more pressure to upgrade and develop the two systems coordinately. This paper provides a useful reference for analyzing the man-land relationship in arid regions and contributes to urban sustainable development. [ABSTRACT FROM AUTHOR]

Industrial agglomeration and public services play a vital role in urban expansion. However, from a spatial perspective, the interaction between industrial agglomeration, public services and urban scale is unclear. Based on spatial autocorrelation model and spatial econometric model, this study analyses the effects of industrial agglomeration and public services on urban scale using data from 286 Chinese cities during 2014–2018. The results are as follows: (1) Local industrial agglomeration can attract the labour force and has a negative spatial spillover effect on surrounding cities; (2) public services contribute to the expansion of local cities' scale and have a positive spatial spillover effect; (3) industrial agglomeration and public services play a coordinated and complementary role in expanding the size of cities This study has the following policy implications: (i) Local governments should combine their resources to develop industries and coordinate industrial development in cities; and (ii) governments should increase expenditures on public services and optimize public services by utilizing social capital. These policy implications can help developing countries expand the scale of cities and promote urbanization. • Industrial agglomeration and public services play a vital role in urban expansion. • However, from a spatial perspective, the interaction between industrial agglomeration, public services and urban scale is unclear. • This study aims to analyse the effects of industrial agglomeration and public services on urban scale based on data from 286 cities from 2014 to 2018. • Industrial agglomeration and public services play a vital role in urban expansion. However, from a spatial perspective, the interaction between industrial agglomeration, public services and urban scale is unclear. Research methods and policy implications are the highlights of this paper. • These policy implications can help developing countries expand the scale of cities and promote urbanization. [ABSTRACT FROM AUTHOR]

Based on the parallel growth implications of the four urban growth theories (endogenous growth theory, random growth theory, hybrid growth theory and locational fundamentals theory), this paper uses Chinese city size data from 1984 to 2006 and time-series econometric techniques to test for parallel growth. The results from various types of stationarity tests show that city growth is generally random. Conditioning on growth trend and structural change, certain groups of cities with common location-specific characteristics, such as a similar natural resource endowment or policy regime, grow parallel in the long run, suggesting that locational fundamentals may have a persistent impact on city growth. [ABSTRACT FROM PUBLISHER]

• High-density mixed-use old neighborhoods are replaced by large-scale urban complexes in China. • Local climate and ventilation capacity of three mixed-use open neighborhood types were examined. • Urban complex presented the strongest heat island effect but the best ventilation capacity. • Organic old neighborhoods exhibited stagnant wind environment but weaker heat island effect. • Findings support critique of deficiency in adopting homogenous urban renewal planning paradigm. In the context of today's global climate change and dramatic urban transformation, urban researchers, planners, architects, and policy-makers have recognized the value of following a mixed-use and open-oriented mode of urban development. In China, the prevailing option for urban renewal is the Urban Complex pattern, which features a mixed functional composition. However, due to its attributes of overall low urban walkability and high energy consumption, such super urban massing may not inspire an environmentally-friendly consequence or a healthy urban lifestyle among residents. This study adds an environmental dimension to the current debates on "sustainable urban form" and "inclusive and resilient neighborhood typology." Based on an in-depth survey of the social and morphological characteristics of three representative mixed-use open urban neighborhoods (MOUN) in Shenzhen, this paper examines local-scale urban climate and canyon ventilation capacity performances of the following via on-site measurement: typical urban village (MOUN-Type I), mature open urban neighborhood (MOUN-Type II), and newly-built urban complex (MOUN-Type III). The results reveal that each MOUN type presents its merits and specific environmental problems, and their co-existence within cities can balance deficiencies in an inter-supplementary manner. The paper argues that urban (re)development should follow a multi-path and multi-consequence orientation, in which cities require the co-existence and collaboration of diverse neighborhood types to ensure a more efficient urban operation that strengthens urban adaptability. Even just from an environmental perspective, planners and policy-makers should carefully consider the specificity , continuity , and identity of each urban area situated within cities. Findings of this research provide insights into attaining "human-environment balance" in the process of establishing various planning models for urban sustainability. [ABSTRACT FROM AUTHOR]

This study examines the relationship between urbanization, economic growth, industrial transformation, technological change, public services, demographical change, urban and natural environmental changes, and carbon emissions using a dataset of 182 prefecture-level cities in China between 2001 and 2010. Specifically, this paper differs from previous studies in two aspects. First, the extant literature has focused on how economic processes accompanying rapid urbanization affect carbon emissions in urban areas but gives little attention to the other dimensions of urbanization, including social and environmental changes, which may have important effects on carbon emissions. We assessed the effects of 17 key processes accompanying urbanization in a full range of economic, social, and environmental dimensions on carbon dioxide emissions in urban areas. The results showed that social processes accompanied with rapid urbanization had distinct effects on carbon emissions, compared to economic and environmental processes. Specifically, improvement in public services, indicated by education and cultural developments, reduces the increase in carbon emissions during urbanization, while economic growth and urban construction reinforces the growth in carbon emissions. Second, we examined the impact of various urbanization processes on carbon dioxide emissions using a unique dataset of 182 prefecture-level cities that covers a wide span of regions in China. The results of our analyses on the city level have important implications for the formulation of comprehensive policies aimed at reducing carbon dioxide emission in urban areas, focusing on different urbanization processes in economic, social, and environmental phases. [ABSTRACT FROM AUTHOR]

Rapid economic development has led to urban sprawl and threatens river systems. In this paper, we used geographic information system (GIS) techniques to examine the effects of urbanisation on the water resources of the Yanggong River watershed in Lijiang City, and analysed the temporal changes in river systems and their impacts on watershed ecosystem functions. The total length of the river systems in the Yanggong River watershed decreased from 786.9 km in 1995 to 674.2 km in 2009 and is predicted to continue to decrease by 35.5 km in the next 11 years according to various data sources. The decrease in river system density started in the Old Town of Lijiang and gradually spread to the surrounding areas. Our analysis shows that urbanisation is failing to take into account the impacts on river systems and their functions, which could cause a reduction in the size of the river systems and degradation of watershed ecosystem functions in the Yanggong River watershed of Lijiang City. It is suggested that protecting the natural river network and making full use of the advantages of the distinctive terrain in the Yanggong River watershed could contribute to the sustainability of urban development in Lijiang City. [ABSTRACT FROM AUTHOR]

Chinese cities have experienced unprecedented growth and transformation in the recent decades. Urban expansion into former agricultural land and the incorporation of villages into urbanized areas are commonly observed. This paper focuses on the current city extension of Foshan into the river landscape of the Pearl River Delta. The authors examine a group of water villages that will become part of Foshan's new city centre. A morphological analysis of settlement forms is used in combination with a fluvial morphological analysis of the water system. Through direct observation, select interviews with villagers, mapping and measurements, an international design team developed proposals demonstrating how social and ecological conditions can be incorporated into the design of Foshan's new urban centre, producing a transformation that has roots in the village's essential spatial structure and the functioning of its water system. [ABSTRACT FROM AUTHOR]

With the increase of global integration, the peri-urban area (PUA) of megacities in Asia has become a favourite destination for foreign direct investment (FDI). This paper uses the PUA of Shanghai as a case study to investigate the impact of global forces on the urban expansion of the city, and the link between urban growth and sustainable development in this mega-urban context. Shanghai has grown impressively during the past two decades in terms of economic and physical transformation. Much of this transformation has rested on the unbridled exploitation of land and other environmental resources in its peri-urban area. This is characterised by the designation of development zones and the concentration of manufacturing FDI, resulting in dispersed growth and environmental degradation. The disruption of the physical environment, combined with the concentration of the urban poor in these areas (in particular ‘temporary migrants’), has turned the PUA into a potential crisis point threatening the social and economic development of the city. [ABSTRACT FROM AUTHOR]

Quantitative assessment of urbanization effect on surface air temperature (SAT) change provides crucial basis for formal detection and attribution analyses of climate change. However, debates about urbanization‐related warming bias in documented regional SAT trend still persist, mainly due to different determination of rural stations. Here the urbanization effect on SAT change over the Beijing–Tianjin–Hebei region in China during 1980–2019 is estimated through three kinds of ways (i.e., comparisons between urban and rural stations [arithmetically station‐averaged], urban‐dominated and rural‐dominated patches [patch‐weighted mean], and realistic urban and rural areas [area‐weighted mean]). The last method explicitly takes urban and rural land cover fractions into account when calculating urban/rural and regional mean SAT trends. Urbanization‐induced warming in the annual mean SAT change of urban stations (areas) through the three ways are estimated as 0.159°C, 0.195°C, and 0.138°C per decade, respectively. And urbanization effect on regional averaged annual mean SAT calculated by patch‐weighted and area‐weighted methods are 0.113°C and 0.050°C per decade, respectively, which account for 33.8% and 14.8% of the total regional warming. The urbanization effect on observed SAT change estimated by considering realistic urban/rural land cover proportions is much lower than traditional station‐unweighted way. [ABSTRACT FROM AUTHOR]

Under the threat of global climate change, China has proposed a dual carbon goal of peak carbon and carbon neutrality. As the vital carrier for territorial spatial planning, production–living–ecological (PLE) spaces drive carbon emissions and are important to the dual carbon goals. In this study, carbon emissions and sinks of PLE spaces in cities in Heilongjiang Province from 2005 to 2020 were calculated and spatial–temporal changes were analyzed. The carbon emission structure was analyzed in segmentation sectors. The land use changes and socioeconomic factors on carbon emissions were analyzed, and emission reduction strategies were implemented. The results show the following: (1) Carbon emissions from production and living spaces increased yearly. Carbon sinks were smaller than emissions, but capacity was stable. (2) Higher-emission cities were concentrated in southwest Heilongjiang, and carbon emission differences between regions gradually increased. (3) Among carbon emission sectors, agricultural and household made up smaller proportions, while animal husbandry, industrial, transportation, and traffic travel contributed most. Carbon emission structures were transformed by adjusting urban development and industrial structure. (4) For most cities, industrial space was the main emission space, but agricultural production and urban–rural living spaces dominated in some cities. (5) GDP, urbanization rate, and area of city paved roads suppressed emissions in cities with decreased carbon emission grades. The industrial structure and coal consumption inhibited emissions in cities with maintaining and increasing carbon emissions grades. [ABSTRACT FROM AUTHOR]

As a new idea of urban risk management, building resilient cities with the ability to resist, eliminate, and adapt to uncertain risks is of great importance to mitigate risk impacts and promote sustainable urban development. Based on the adaptive cycle model and the characteristics of an urban system, this study analyzes the resilience levels of cities, urban agglomerations, and provinces and their adaptive stages. The results show that (1) the comprehensive resilience of cities in the five provinces of northwest China is on the rise and that the differences between cities are gradually narrowing. The development stages of the urban adaptive cycle can be divided into six stages: the rapid exploitation stage, exploitation-conservation stage, stable conservation stage, conservation-release stage, development reorganization stage, and reorganization-exploitation stage. (2) The spatial distribution of the comprehensive resilience of urban agglomerations is "high in the southeast and low in the northwest," and the development stage of the adaptive cycle is consistent with its central city or central region. (3) The level of resilience varies greatly among provinces, and the development stage of the adaptive cycle is equivalent to the average level of all cities in the province and is closely related to their respective development forces and urban problems. These findings can provide reference for policymakers to formulate scientific resilience building strategies to achieve regional sustainable development. [ABSTRACT FROM AUTHOR]

As an effective measure to solve the dilemma of urban energy consumption and economic development, the new energy demonstration city (NEDC) policy in China could greatly promote the development of the new energy industry and urban economy. This study aims to explore how the NEDC policy effectively promotes the growth of urban land use efficiency (ULUE), an essential indicator of economic development, through the urban industrial structure. Based on the panel data of 285 Chinese cities during 2003–2019, this study took the NEDC policy as a quasi-natural experiment and employed the PSM-DID method and the mediating effect model to objectively evaluate its policy effects. We found that the NEDC policy could significantly promote the growth of the ULUE. Specifically, the ULUE has been significantly improved by 17.0%. The NEDC policy could also promote the ULUE indirectly through the mediating effect of industrial structure advancement (ISA), but the mediating effect of industrial structure rationalization (ISR) was not significant. Furthermore, the promotional effect of the NEDC policy on the ULUE has regional heterogeneity. Compared with eastern cities and high-innovation cities, central and western cities and medium-innovation and low-innovation cities can obtain much higher promotion effects. This study may provide some policy inspiration for policymakers to support low-corban and sustainable economic development and urban land use. [ABSTRACT FROM AUTHOR]

Accurately identifying the boundary of urban clusters is a crucial aspect of studying the development of urban agglomerations. This process is essential for comprehending and optimizing smart and compact urban development. Existing studies often rely on a single category of data, which can result in coarse identification boundaries, insufficient detail accuracy, and slight discrepancies between the coverage and the actual conditions. To accurately identify the extent of urban clusters, this study proposes and compares the results of three methods for identifying dense urban areas of three major agglomerations in China: Beijing–Tianjin–Hebei, the Yangtze River Delta, and the Guangdong–Hong Kong–Macao Greater Bay Area. The study then integrates the results of these methods to obtain a more effective identification approach. The social economic method involved extracting a density threshold based on the fused nuclear density of socio-economic vitality data, including population, GDP, and POI, while the remote sensing method evaluated feature indices based on remote sensing images, including the density index, continuity index, gradient index, and development index. The traffic network method utilizes land transportation networks and travelling speeds to identify the minimum cost path and delineate the boundary by 20–30 min isochronous circles. The results obtained from the three methods were combined, and hotspots were identified using GIS overlay analysis and spatial autocorrelation analysis. This method integrates the multi-layered information from the previous three methods, which more comprehensively reflects the characteristics and morphology of urban clusters. Finally, the accuracy of each identification result is verified and compared. The results reveal that the average overall accuracy (OA) of the three areas delineated by the first three methods are 57.49%, 30.88%, and 33.74%, respectively. Furthermore, the average Kappa coefficients of these areas are 0.4795, 0.2609, and 0.2770, respectively. After performing data fusion, the resulting average overall accuracy (OA) was 85.34%, and the average Kappa coefficient was 0.7394. These findings suggest that the data fusion method can effectively delineate dense urban areas with greater accuracy than the previous three methods. Additionally, this method can accurately reflect the scope of urban clusters by depicting their overall boundary contour and the distribution of internal details in a more scientific manner. The study proposes a feasible method and path for the identification of urban clusters. It can serve as a starting point for formulating spatial planning policies for urban agglomerations, aiding in precise and scientific control of boundary growth. This can promote the rational allocation of resources and optimization of spatial structure by providing a reliable reference for the optimization of urban agglomeration space and the development of regional spatial policies. [ABSTRACT FROM AUTHOR]

Exploring the effect of new-type urbanization (NTU) on urban carbon abatement is of great practical significance for promoting urban green construction and coping with the challenge of global climate change. This study used data from 250 cities in China from 2008 to 2020 and constructed the NTU evaluation indicator system from five dimensions. We used classical panel regression models to examine the effects of NTU on urban CO2 emissions, and further used spatial econometric models of SEM, SAR, and SDM to identify the spatial spillover effects of NTU on urban CO2 emissions. The main results are that China's NTU and CO2 emissions are generally rising, and NTU has a significantly negative effect on urban CO2 emissions, with an impact coefficient of −0.9339; the conclusions still hold after subsequent robustness tests. Heterogeneity analysis reveals that NTU's carbon abatement effect is more pronounced in resource-based cities, old industrial areas, and cities with lower urbanization levels and higher innovation levels. Mechanism analysis shows that improving urban technological innovation and optimizing resource allocation are important paths for realizing urban CO2 emission reduction. NTU's effect on urban CO2 emissions has a noticeable spatial spillover. Our findings provide policy makers with solid support for driving high-quality urban development and dual-carbon targets. [ABSTRACT FROM AUTHOR]

The energy consumed by urban transportation systems has implications for local environmental protection and greenhouse gas emission reductions. It is widely claimed that in growing cities, individuals' transport energy use could be made more efficient by planning to control urban sprawl and create polycentric urban structures. However, existing conclusions are mixed. This paper contributes to this issue with an in-depth analysis of China's cities. Interestingly, polycentric cities demonstrated lower travel energy efficiency than monocentric ones. This is mainly because urban sub-center developments have failed to combine employment and residential land use. In these planned sub-centers, land use is usually dominated by either housing or industrial park developments, requiring people to commute long distances between home and work, and use cars at high rates. Increasing fragmentation of development management due to political decentralization has apparently worsened the job-housing imbalance. Though a significant effect of urban structure on transport energy consumption was observed, car use control policies had no effect, while a high level of metro services was associated with lower energy consumption. [ABSTRACT FROM AUTHOR]

The sustainability of land conversion to urban use is an important factor that promotes sustainable urbanization. However, China's local governments have relied too much on the land finance model for urbanization, which has led to disordered growth of urban land, ultimately posing a threat to ecosystem security and socioeconomic development. Effectively evaluating the factors that influence the growth of urban land is critical to improving the sustainability of urban land use. In this study, we explored the factors that affect the growth in the area of urban land using spatial analysis models based on panel data for Chinese prefecture-level cities from 2007 to 2019. We found that fiscal decentralization, infrastructure, industrialization, and industrial upgrading were the main factors responsible for the growth of urban land, but that their degrees of influence differed between regions. Our findings identify the necessity for local governments to design urban land-use policies and perform strategic planning for urban land use to improve sustainability based on the main factors that influenced the growth of urban land in each region. [ABSTRACT FROM AUTHOR]

As the key issue in the new urbanization, the problem of city-industry has drawn the increasing attention of the government and the academic field. However, the fusion phenomenon of city-industry still exists during the development of China. This paper would analyze this issue from the “quality” point of development in terms of the city-industry integration. In the dissertation, capacity Measurement Indicator System of the city-industry integration is built and then the use of DEA method is improved so as to determine the index weight capacity, thus empowering the city’s re-integration. The physics of the system coupling method are improved before the application to the measure of the city-industry integration. [ABSTRACT FROM PUBLISHER]

As the main carbon sink in the carbon cycle process, vegetation is an important support for achieving "carbon peaking" and "carbon neutrality. How does the vegetation coverage of urban built-up areas change in the process of urbanization in China? Taking advantage of Landsat remote sensing data, we extract urban built-up areas, calculate the Normalized Difference Vegetation Index (NDVI), estimate fractional vegetation cover (FVC), and analyze the temporal and spatial dynamics of vegetation coverage in built-up areas of provincial capitals from the national and individual city levels in China. Major conclusions are as follows: (1) The FVC in the urban built-up areas has increased by 7.97%, and the urban green space has gradually changed from the "green core" distribution model to the "green vein" distribution mode. (2) The disparities in FVC of built-up areas of provincial capitals are notable, presumably due to a variety of factors that include the natural geographic environment, economic development level, built-up area expansion, land type conversion, afforestation of greening policy, etc. (3) Not just simply raise or lower, the FVC curves in the built-up areas of provincial capital cities present oscillating patterns with gradually weakening amplitude. Our study is expected to provide scientific references of an important theoretical basis for urban ecological construction and practical support for promoting the harmonious development of urban residents and urban environments in China. [ABSTRACT FROM AUTHOR]

Based on prefecture-level data from China over the period 1999–2018, our study aims to identify the impact of urban land expansion on economic growth conditional on the spatial population distribution within a city. Controlling the potential path dependence impact of the urban economy with a lagged explanatory variable in the designed model, and primarily based on the generalized method of moments, the empirical results show that it is the relative urban land expansion rather than the net expansion that is disadvantageous to urban economic growth. The interior spatial population distribution, which is primarily measured as the relative proportion of the population residing outside the main urban area, boosts urban economic growth directly as well as promoting it indirectly by alleviating the negative impact of urban relative land expansion. Our results provide a theoretical basis for alleviating the population–land contradiction and reducing the risk of urban economic growth. [ABSTRACT FROM AUTHOR]

Historically, change detection reviews have examined and categorized algorithms based on their techniques for the remote sensing community. Here, we synthesize urban land change algorithms by the types of information they provide to a diverse and growing set of user communities. Two goals of the paper are first to synthesize past and current change detection studies to examine urban land change to help users of remote sensing algorithms understand and navigate the vast variety of available methods, and second to identify gaps in knowledge for the urban remote sensing community. We analyzed 644 peer-reviewed research papers published in English-language journals and conducted a systematic review of urban land change algorithms. All papers included in our study focus on urban land change ; studies that concentrate on single-date urban classification or mapping for one point in time without an explicit urban land change component are not included in this analysis. The review showed five key results and knowledge gaps. First, most urban change detection algorithms are being developed and applied for only a few regions, with 75% of studies focused on high or upper-middle-income countries and the majority of these on China or the United States. This suggests a major gap in geographic coverage as well as the need for more studies on cities in low and lower-middle-income countries. Second, the results show that 41% of the algorithms have been developed or applied for cities of over 5 million inhabitants. This focus on large cities is problematic given that only 11% of the world's urban population lives in cities with populations greater than 5 million and that most future urban growth will occur in small- and medium-sized towns and cities with populations of fewer than 1 million people. Third, our analysis shows that 62% of the studies use three or fewer time points to measure urban land change with an average study length of 17 years. Since rapidly growing urban areas are highly dynamic, this suggests that existing algorithms using only a few time points are likely missing urban transitions that can only be captured with high temporal frequency analysis. Fourth, we find that urban expansion is the most commonly monitored type of urban land change. Comparatively fewer studies characterized intra-urban change or three-dimensional structural change. Fifth and finally, the results show that an overwhelming majority—87%—of all studies identify only one urban class, highlighting a need for more studies that distinguish intra-urban variation and differentiate multiple urban classes. Our analysis shows that it is very difficult—nearly impossible—to compare across algorithms. Thus, for users of urban land change information, it is difficult to navigate the literature and know which algorithms are most appropriate for a particular use. Taken together, this points to the need for improved reproducibility, replicability, and comparability of studies in order to help harmonize urban land change information across regions and countries. This is especially important given the growing user communities of urban land change products and analysis, especially from policy and practice. • We conduct a systematic review of the urban land change algorithm literature. • Most studies monitor urban change at low temporal frequencies. • The majority of urban land change is characterized using only one urban class. • Over 75% of studies focus on high or upper-middle level income countries. • Key knowledge gaps include in geographic coverage, city size, and land transitions. [ABSTRACT FROM AUTHOR]

• This paper explores urban system in China and its deviations from Zipf's law. • The size distributions of Chinese cities did not follow Zipf's law until recently. • Both large and small cities were under-sized relative to the Zipf's law. • Excluding the top 10% large cities, the data fit the Zipf's law better. • The deviations rises with government interferences and decreases with market forces. How are urban residents distributed and agglomerated across different-sized cities? This question can be addressed by studying urban system or Zipf's law. Using Chinese data for the period of 1990–2017, this paper contributes to the literature by exploring the evolution of urban system, and more importantly deviations from Zipf's law. It is found that (1) The size distribution of Chinese cities, as expected, did not follow Zipf's law until very recently. Both large cities and small towns were under-sized relative to the Zipf's law, implying possible loss of agglomeration economies; (2) When the top 10% large cities are excluded, the Chinese data fit the Zipf's law better, demonstrating the adverse role of government interference in containing the growth of mega-cities; (3) By and large, the distribution has been moving closer or further away from Zipf's law, corroborating with policy directions in the relevant five-year plans of the central government; and (4) Government interferences helped enlarge while market forces helped reduce the numerical deviations of individual cities from Zipf's law. The last three analytical findings are the first in the literature since no previous studies have focused on the issue of why urban system in China does not follow Zipf's law. In particular, no earlier efforts have been made to model numerical deviations from Zipf's law, as attempted in this paper. The results appeal for removal of government interferences and furthering market-based reforms in order to reap economies of agglomeration. [ABSTRACT FROM AUTHOR]

Developing countries tend to exhibit evident urban–rural income divergence as urban areas rapidly expand into adjoining land. However, Western-centric urban theories and studies of spatial inequality have not paid sufficient attention to the connection between income divergence and urban expansion. This paper employed a panel quantile regression model to investigate this relationship in 220 prefecture-level Chinese cities in 2006–2014. To identify potential spatiotemporal effects, we conducted additional robustness checks using the spatial Durbin model and geographical and temporal weighted regression. The results show that a 1 % expansion of urban land decreases the urban–rural income gap by 0.005 % to 0.011 %. This narrowing effect is particularly prominent in the eastern and central regions and in areas that are less urbanized overall. It also varies within regions that have a more pronounced difference between the lowest and highest quantiles in northeastern China and cities with urbanization rates of >50 %. Finally, we find evidence for an inverted U-shaped relationship between urban expansion and the urban–rural income gap. Our results entail suggestions for improved urban–rural development policies aimed toward greater integration and efficiency in urban expansion. • The relationship between urban expansion and the urban-rural income gap was investigated using panel quantile regressions. • Robust checks were conducted with the spatial Durbin model (SDM) and geographical and temporal weighted regression (GTWR). • A 1% urban expansion decreases the urban-rural income gap by 0.005% to 0.011%. • An inverted U-shaped relationship between urban expansion and the urban-rural income gap was found. [ABSTRACT FROM AUTHOR]

Along with China's rapid urbanization development process, the severe ecological security problems which brought by the urbanization related activities has gradually caused academic and public discussion. To reach the high-quality development goals set by central government decisions in China, it is necessary to clarify the relationship between urbanization and ecological security, which can provide guidance to explore the path of coordination. On the basis of three major urban agglomerations in China, this paper constructs the comprehensive evaluation system of urbanization and ecological security through multi-source data. By using the Entropy-weight TOPSIS method, cities' urbanization and ecological security levels are calculated. Through the coupling coordination model, the coordination levels between urbanization and ecological security were also analyzed. At the end, Through Kernel estimation and the Markov chain method, the relative-absolute differentiation and the overall evolution trend of the coordination development were also estimated. The research results indicate the following: (1) The core cities' urbanization and ecological security level in the region are relatively high, while the peripheral cities are generally low; (2) The coordination development in the urban agglomerations revealed as a relatively steady progress; (3) The aggregation effect gradually emerged under the coordination development periods in the urban agglomerations; (4) The overall coupling coordination development in urban agglomerations has the possibility of club convergence. [ABSTRACT FROM AUTHOR]

Urban agglomerations are currently facing regional thermal environment deterioration. However, the relationship between thermal environment changes in urban agglomerations in response to urban expansion and the underlying urban morphology-driven mechanisms is not clear. This study utilized data from the three largest urban agglomerations in China for 2000, 2010, and 2020 to explore the response of regional heat island changes to urban morphological variations induced by urban expansion through the quantification of urban landscape form, correlation analysis, and relative importance analysis. The results indicate that the distribution of heat source and built-up areas in urban agglomerations has clear spatial and temporal consistency. Moreover, a high regional heat island intensity (RHII) cluster was shown in a "strip-like" form in Beijing–Tianjin–Hebei and the Yangtze River Delta, while the Pearl River Delta, with the most rapid expansion and contiguity of heat source areas, showed a "ring-like" form. RHII was positively correlated with the area of urban clusters and the proportion of built-up areas. However, configuration metrics, such as patch aggregation, also positively affected RHII. Thus, different landscape structures with the same impervious surface area percentage resulted in different RHII values. The relative importance of urban form metrics varied in different urbanization stages; the impervious layer rate was dominant for low and high urban intensity levels, while the shape complexity of urban patches primarily mitigated the thermal environment at the medium urban development level. These results revealed the response relationship between the regional thermal environment and urban morphology, providing insights into how we can improve the regional thermal environment through targeted strategies for optimizing urban form patterns for areas at different urbanization stages. [ABSTRACT FROM AUTHOR]

In recent decades, the trade-off between urbanization and vegetation dynamics has broken the balance between human activities and social-economic dimensions. Our understanding towards the complex human–nature interactions, particularly the gradient of vegetation growth pattern across different city size, is still limited. Here, we selected 35 typical cities in China and classified them into five categories according to their resident population (e.g., megacities, megapolis, big cities, medium cities, and small cities). The spatial-temporal dynamics of vegetation growth for all 35 cities were inferred from the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI). We found that averaged NDVI for all cities slightly decreased during 2000 and 2020, at a rate of 1.6 × 10−4 per year. Most cities were characterized with relatively lower NDVI in urban areas than its surrounding area (determined by a series of buffer zones, i.e., 1–25 km outside of the city boundary). The percentage of greening pixels increased from urban area to the 25 km buffer zone at a rate of 4.7 × 10−4 per km. We noticed that negative impact of urbanization on vegetation growth reduced as the distance to urban area increased, with an exception for megacities (e.g., Shanghai, Beijing, and Shenzhen). In megacities and megapolis, greening pixels were more concentrated at core urban area, implying that the positive urbanization effect on vegetation growth is much more apparent. We argue that urbanization in China might facilitate vegetation growth to a certain extent, for which an appropriate urban planning such as purposeful selection of city sizes could be a scientific guidance while targeting the city's sustainable development goals in future. [ABSTRACT FROM AUTHOR]

Land surface temperature (LST) is a key parameter closely related to various land surface processes and surface-atmosphere interactions. Analysis of spatiotemporal variation of time-series LST may provide useful information to understand eco-climatic characteristics. In this study, the spatiotemporal pattern of LST and its trend characteristics in Henan Province were examined based on MODIS LST products from 2003 to 2021. In addition, the influences of land cover types, Nighttime Light data (NTL) and Normalized Difference Moisture Index (NDMI) on LST variation were analyzed. The results indicated that: (i) The LST showed slight and rapid decreasing trend for 2004–2010 and 2018–2020, respectively, whereas an obvious increasing and slight increasing trend occurred for 2010–2013 and 2014–2018. In terms of spatial pattern, high-temperature, and sub-high-temperature were mainly distributed in the central part of the province with higher level of industrialization and urbanization at the annual, spring, summer, and daytime scales. While in fall, winter, and the nighttime, the spatial distribution of LST exhibited decreased trend from the southern part to the northern part of the province, the largest Standard Deviation (STD) was observed in summer. (ii) The interannual variation rate of LST was 0.08 °C/Y. The increasing trend mainly occurred in urban and built-up areas. At the seasonal scales, the rising rate decreased sequentially in the order of fall, winter, spring, and summer. In addition, the rising rate in the daytime was higher than that in the nighttime. (iii) LST increased along with the expansion of urban and built-up lands, except in winter. At the annual scales, 84.69% of areas with NTL data exhibited a positive correlation with LST, and NDMI in the western part with high elevation presented a significantly positive correlation to LST, while a significantly negative correlation occurred in urban and built-up areas. The cooling effect of NDMI on LST in the daytime was greater than that in the nighttime. In cropland areas, LST showed a non-significant correlation with NDMI at the annual scale, and a significantly negative correlation with NDMI in spring, summer, and fall. The influence mechanism of cropland on the variation of LST at different timescales needs to be further explored. These findings might provide some hints to understand climate change and its causes in the province. [ABSTRACT FROM AUTHOR]