Urban hierarchy of innovation capability and inter-city linkages of knowledge in post-reform China

The 2000s has witnessed increasing interests in cities′role of innovation in the era of knowledge-based economy.Compared with substantial empirical analysis on the world city hierarchy of innovation,this paper attempts to examine the national urban hierarchy of innovation capability in China,in terms of ranking systems,spatial pattern and inter-city linkages of knowledge during the post-reform period since the late 1970s.Based on quantitative analysis such as principal component factor analysis and clustering analysis,this paper identifies the five-tier hierarchy of in-novation,which is headed by Beijing and Shanghai,followed by the capital cities of each province and regional centre cities.The development of China′s urban hierarchy of innovation capability has been driven by such factors as the scale of innovation,scientific scale,innovation potential and innovation environment.The paper further investigates the inter-city linkages of knowledge measured by the number of co-authored papers among the cities.Beijing is positioned in the central position of the knowledge diffusion and knowledge cooperation innovation.More knowledge diffusion among high level cities has occurred than that among the low level cities as well as between the low level cities and high level cities,and provincial capital cities and the regional central cities.     

The Evolution and Differentiation of Economic Convergence of Resource-based Cities in Northeast China

A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities' economic development has fallen below general levels due to resource exhaustion and an unbalanced industrial structure, among other factors. Further, an economic gap has long existed between Northeast China's large number of resource-based cities and non-resource-based cities. This article comprehensively studies the economic convergence of Northeast China's resource-based cities and non-resource-based cities from 1996 to 2015 by using a dynamic panel to analyze not only the economic development of different industries and types of cities, but also the main factors that influence economic development. The empirical results demonstrate that economic convergence exists in both resource-based and non-resource-based cities, but the economic gap between them has clearly narrowed since the implementation of a strategy to revitalize the Northeast's old industrial base. Shrinking cities are the fastest to converge, as mature cities are slower and regenerating cities are the slowest; regarding industry structure, the secondary industry dominates the economy in mature and shrinking cities, and the tertiary industry in regenerating cities. The primary stimulus in resource-based cities' economic development involves upgrading the industrial structure and investing in human capital. As China faces a ‘new normal' economy, resource-based cities in Northeast China should restructure the economy and perfect their market system to avoid again widening the economic gap.     

耦合卡尔曼滤波和多层次聚类的中国PM2.5时空分布分析

近年来,细颗粒物污染尤其是PM_2.5受到人们越来越多的关注,研究PM_2.5的时空分布规律也具有越来越重大的意义。传统的遥感反演方法模型复杂,且不能揭示近地表面的PM_2.5分布规律。地面监测站的建设为PM_2.5的研究提供了更实时的观测数据,但由于测量噪声的影响,观测数据存在不准确的极端异常值。为了揭示中国PM_2.5的时空分布特征,本研究采用Kalman滤波对2015年中国338个城市的空气质量监测网络大数据进行最佳估计,并分析其时空特征。同时,根据中国各城市的PM_2.5浓度的时序分布,采用基于DTW的K-Medoids聚类方法将其分为4个等级,并采用q统计量来评估PM_2.5浓度分布的空间分层异质性。结果表明,采用Kalman滤波能有效去除数据噪声,峰值信噪比（PSNR）明显增大。在时空分布上,中国PM_2.5时间分布曲线呈现“U”形,冬季PM_2.5浓度明显高于夏季,且日变化曲线呈现“W”形;秋冬季PM_2.5浓度的空间分层异质性非常显著,且空间分布呈现“双核分布”,重污染区主要分布在华北平原、新疆等地,西藏、广东、云南等地是稳定的空气质量优良区。     

Storage and density of soil organic carbon in urban topsoil of hilly cities: A case study of Chongqing Municipality of China

Rapid urbanization results in the conversion of natural soil to urban soil,and consequently,the storage and density of the soil carbon pools change.Taking Chongqing Municipality of China as a study case,this investigation attempts to better understand soil carbon pools in hilly cities.First,the vegetated areas in the study area were derived from QuickBird images.Then,topsoil data from 220 soil samples(0-20 cm) in the vegetated areas were collected and their soil organic carbon(SOC) densities were analyzed.Using the Kriging interpolation method,the spatial pattern of SOC was estimated.The results show that the SOC density exhibited high spatial variability in the urban topsoil of Chongqing.First,the SOC density in topsoil decreased according to slope in the order 2°-6° < 25°-90° < 0°-2° < 6°-15° < 15°-25°.Second,the newly developed areas during 2001-2010 had a lower SOC density than the areas built before 1988.Third,urban parks and gardens had a higher SOC density in topsoil,residential green land followed,and scattered street green land ranked last.For hilly cities,the variability of terrain affects the distribution of SOC.The Kriging results indicate that Kriging method combining slope with SOC density produced a high level of accuracy.The Kriging results show that the SOC density to the north of the Jialing River was higher than the south.The vegetated areas were estimated to amount to 73.5 km2 across the study area with an SOC storage of 0.192 Tg and an average density of 2.61 kg/m2.     

City Networks of Online Commodity Services in China: Empirical Analysis of Tmall Clothing and Electronic Retailers

City networks have been a critical topic in the fields of urban geography and regional economics. Numerous studies have explored city networks, focusing mainly on infrastructure and industrial networks. Unlike traditional urban network of which the major measuring indexes are population sizes and entity industries, online commodity service networks could reflect well the influencing of emerging economies, especially the Internet economy, on city networks. This study analyzes and reveals structural features of China’s city networks through online commodity services, providing the internet economic approach on city networks. Results indicate that the core cities of online commodity service networks are mainly concentrated in eastern coastal areas. In addition, spatial polarization and layer structure of network connections are obvious, descending from the centers in eastern China to peripheral cities in central and western China. Online commodity services of different cities show apparent differences and uncertainties in terms of specialization rates of international connection, which presents a tendency toward diversification. Online commodity service networks are not only associated with goods production, supply, and consumption in physical space but also reflect virtual information, capital, and technology flows, thus providing a new empirical approach for understanding city networks in information and internet economic age.     

闽南金三角地区经济增长与产业重心的时空演变

闽南金三角地区已成为中国东南沿海重要的经济增长高地。然而,在同城化背景下,该地区的城市空间重组、区域协调等问题凸显,严重制约了区域可持续发展。本文运用重心模型揭示了2000-2012年闽南金三角经济增长以及三次产业重心迁移的时空演变特征与规律,并用Nich指数进一步分析三次产业差异。结果表明:(1)闽南金三角地区极化发展现象突出,2000年以来地区经济增长重心与二、三产业重心高度集聚于厦门市东北部,且东西向极化现象较明显;(2)厦、泉两地经济增长博弈激烈,2008年后第三产业开始回迁,且其对经济增长有一定的牵引效应,地区间第二产业非均衡性发展有所收敛;(3)第一产业重心往西南地区迁移的直线型态势显著,漳州市二、三产业发展均滞后于厦、泉地区。     

Measurement and interpretation of connectivity of Chinese cities in world city network, 2010

This is an empirical paper that measures and interprets the position of Chinese cities in the world city network in 2010. Building on a specification of the world city network as a′interlocking network′in which business services firms play the crucial role in city network formation, information is gathered about the presence of global service firms in cities. This information is converted into data to provide the′service value′of a city for a firm′s provision of corporate services in a 526(cities)×175(firms) matrix. These data are then used as the input to the interlocking network model in order to measure cities′connectivity and its predominant geographical orientation. Here we focus on the position of some key Chinese cities in this regard, and discuss and interpret results in the context of the urban dimensions of the′opening up′of the Chinese economy.     

Energy Abundance and China's Economic Growth: 2000–2014

Based on the interprovincial panel data of 2000–2014, this paper carries out an empirical analysis on the relationship between energy abundance and economic growth to test the theoretical hypothesis of ‘resource curse' and explore its transmission mechanism for China and its three regions. The results show that, at the national level, positive correlation is present between energy abundance and economic growth, proving that the ‘resource curse' phenomenon does not exist in China as a whole. Moreover, material capital input, human capital input and the level of opening to the outside world could promote economic growth, while technology innovation input may hinder economic growth. As seen by region, a positive correlation also exists between the energy abundance and economic growth in the eastern and western regions, and there is no ‘resource curse' phenomenon either. In all three regions, the human capital input could promote economic growth. Material capital input could promote economic growth in the eastern but hinder economic growth in the western region; the level of opening to the outside world could promote economic growth in the eastern region. It is known through further survey and analysis on the transmission mechanism of resource curse that, at the national level, material capital input, human capital input, and the level of opening to the outside world present positive correlation with energy abundance, indicating that energy development becomes an important transmission factor by strengthening material capital input and human capital input and raising the level of opening to the outside world. However, technology innovation input presents negative correlation with energy development. As seen by region, both the material capital input and human capital input present positive correlation with energy development strength in the three regions. Similar as the eastern region, the level of opening to the outside world presents positive correlation with energy industry development in the middle and western regions; however, the energy development presents negative correlation with technology input level in the western region.     

长江三角洲城市化地区植被初级生产力的时空变化研究

城市化过程对植被初级生产具有重要影响。以往研究主要集中于城市用地扩张对植被初级生产力的直接影响分析,而较少关注其间接效果。本文以长江三角洲地区为例,分别从地区尺度和城市尺度分别分析了2000-2013年植被初级生产力的时空变化,探讨了其与气温、降水量及城市建成区绿化覆盖率的关系。研究表明：地区尺度上,2000-2013年长江三角洲植被初级生产力呈现不断增加,其中城市建成区植被初级生产力呈现显著增加的趋势（P<0.05）;城市尺度上,城市建成区内植被初级生产力主要呈现增加的趋势,而其外围缓冲区内则与此相反。在当前气候变化背景下,这可能与城市建成区绿化覆盖率不断增加,及快速的城市扩张有关。     

Spatial and Temporal Pattern of Urban Smart Development in China and Its Driving Mechanism

Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.     

Rehabilitation and Sustainable Use Pattern of Rocky-desertified Land in Southwest China＇s Poverty-stricken Karst Mountainous Areas ——A Case Study in Benggu Township, Xichou County, Yunnan, China

The rocky desert in a karst area directly causes the lack of soil, water and forest, hence leading to the poverty there. In 1990, the villagers from the Muzhe Village in Benggu Township, Xichou County, Yunnan declared a war against rocky desert in an attempt to ask the fields for more yields. They invented a distinctive land rehabilitation and sustainable use pattern called ＂transforming heaven and earth＂ that had been practiced in Southwest China＇s karst areas. The key mechanism of the pattern was to develop terraced fields with well conserved soil, water and fertility by exploding rocks in the fields, building stone walls, gathering more soil, and improving soil quality and productivity for the fields in combination with building of irrigation facilities and roads, as well as with forestation and agriculture structure adjustment. The purpose of the pattern was to alleviate poverty in the karst areas by improving soil productivity and promoting agricultural development. A typical area was studied with the help of Participatory Rural Appraisal （PRA） and the pattern was carried out there for fifteen years, have produced excellent ecological benefits and good economic benefits. Its application in the area approved that it was a sustainable land use pattern for rocky desert areas.     

基于改进引力模型的公园绿地空间可达性及供需平衡分析方法

探究高密度城市公园绿地资源空间配置的有效性和供需平衡问题对城市规划和居民生活具有重要意义。已有研究较少从多尺度、多交通出行模式以及结合地图大数据算法的角度对公园绿地可达性进行探究。本文以广州市越秀区为例,利用百度地图多交通出行数据,提出一种结合多类型公园绿地多级可达时间阈值的改进型引力模型,对越秀区公园绿地的空间可达性及其供需平衡特征进行研究。结果表明：(1)越秀区各尺度和各类型公园绿地可达性差异显著,城区尺度可达性大体上呈现由北向南逐层递减趋势,街道尺度可达性则表现出明显的“极化”现象,大型公园绿地可达性远高于社区公园和街头游园且在城市整体可达性中占主体地位;(2)从空间集聚情况来看,城区尺度公园绿地可达性值呈现明显的空间集聚分布特征,由北向南表现为高值聚类、不显著、低值聚类,街道尺度相比城区尺度高值聚类减少,低值聚类和无统计意义的区域增多;(3)基于供需平衡视角的空间可达性结果显示,公园绿地供给与居民需求在城区尺度和街道尺度分别呈现出整体平衡和局部失衡的现象,局部失衡主要集中在公园绿地资源相对匮乏的街道。     

Optimization Transmission Theory and Technical Pathways that Describe Multiscale Urban Agglomeration Spaces

Urban agglomerations are spatial entities that promote the development of ‘new urbanization' processes within China. In this context, the concept of ‘multiscale urban agglomeration spaces' encompasses three linked levels: macroscale urban agglomerations, mesoscale cities, and microscale urban centers. Applying a series of multidisciplinary integrated research methods drawn from geography, urban planning, and architecture, this paper reveals two intensive utilization laws that can be generalized to apply to multiscale urban agglomeration spaces, top-to-bottom ‘positive transmission' linkage and inside-to-outside ‘negative transmission' movement. This paper also proposes optimization transmission theory and policy decision technical pathways that can be applied to these three urban agglomeration spatial scales. Specific technical pathways of transmission include intensive expansion and simulated decision-making in macroscale urban agglomerations, ecology, production, and living space intensive layout and dynamic decision-making in mesoscale cities, and four cores(i.e., ‘single, ring, axis, and pole core') progressive linkage and intensive optimization decision-making in microscale urban centers. The theory and technical pathways proposed in this paper solve the technical problem of optimization and provide intensive methods that can be applied not only at the individual level but also at multiple scales in urban agglomeration spaces. This study also advances a series of comprehensive technical solutions that can be applied to both compact and smart growth cities as well as to urban agglomerations. Solid theoretical support is provided for the optimization of Chinese land development, urbanization, agricultural development, and ecological security.     

Changing Connectivities of Chinese Cities in the World City Network,2010–2016

Against the backdrop of the sizable economic growth of China in recent years, this paper uses the most recent data gathering of the Globalization and World Cities(Ga WC) research network to update and supplement earlier research on the shifting global connectivity of Chinese cities. The update consists of an evaluation of the connectivity of Chinese cities in 2016, the supplement of an analysis of the changing position of Chinese cities in the world city network between 2010 and 2016. To this end, we build on a specification of the world city network as an ‘interlocking network' in which producer services firms play the crucial role in city network formation. Information about the presence of leading producer services firms in cities in 2010 and 2016 is used as the input to a bipartite network projection algorithm in order to measure cities' network connectivity. The first set of results discusses the geographies of urban connectivity in the world city network in 2016. The second set of results discusses standardized measures of change to reveal the major dimensions of the transformations between 2010 and 2016. We find that, with the exception of Hong Kong, Macau and Kaohsiung of Taiwan, all Chinese cities record connectivity gains. This wholesale rise in connectivity is nonetheless geographically uneven, with above all Beijing, Chengdu/Chongqing and Changsha/Wuhan becoming more connected. We conclude that the wholesale rise of Chinese cities in the world city network and their changing trajectories in the post-crisis era are embedded in shifting external and internal political economies.     

Evapotranspiration and humidity variations in response to land cover conversions in the Three Gorges Reservoir Region

A new land cover classification system was established for the Three Gorges Reservoir Region (TGRR) after considering the continuity of inundation and the natural characteristics of land cover. The potential evapotranspiration (PET) was predicted using a modified Penman-Monteith (P-M) model. The region’s ratio of precipitation to evapotranspiration was calculated as the humidity index (HI). The data obtained was used to analyze climatic responses to land cover conversions from the perspectives of evapotranspiration and humidity variations. The results show that, from 1997 to 2009, the average annual PET increased in the early years and decreased later. In terms of overall spatial distribution, a significant reciprocal relationship appeared between annual PET and annual HI. In 1997, the annual PET was higher in the lower reaches than in the upper reaches of the TGRR, but the areas with high PET shifted substantially westward by 2003. The annual PET continued to increase in 2006, but the areas with high PET shrank by 2009. In contrast, the annual HI showed varying degrees of localized spatial variability. Over the three periods, the dominant forms of land cover conversions occurred from evergreen cover to seasonal green cover, from seasonal green cover to evergreen cover, and from seasonal green cover to seasonally inundated areas, respectively. These accounted for 48.0%, 38.4%, and 23.8% of the total areas of converted land covers in the three periods, respectively. During the period between 1997 and 2003, the main forms of land cover conversions resulted in both positive and negative growths in the average annual PET, while all of them pushed down the average annual HI. From 2003 to 2006, the reservoir region experienced neither a decrease in the annual PET nor an increase in the annual HI. The period between 2006 and 2009 saw a consistent downward trend in the annual PET and a consistent upward trend in the annual HI.     

青藏高原城镇化格局的时空分异特征及影响因素

研究青藏高原城镇化格局的时空分异及其影响因素,有利于推动青藏高原现代人类活动时空过程的认知,对青藏高原就地就近城镇化及可持续发展具有参考意义。根据历次人口普查数据,本研究构建青藏高原县市尺度城镇化空间数据集,参考城镇化发展阶段,采用LISA空间类型划分法和空间计量回归模型,系统分析1990-2010年青藏高原内部城镇化格局的时空分异特征及影响因素。主要结论包括：① 青藏高原整体城镇化水平偏低,2017年底,青藏高原主体部分青海省和西藏自治区的常住人口城镇化水平分别为53.07%和30.8%,低于全国同期水平的58.52%,但青藏高原内不乏高水平城镇化地区,而且各地区间城镇化水平的空间差异缩小;② 青海西部柴达木盆地是高水平城镇化集聚区,羌塘地区是低水平城镇化集聚区,地级行政中心所在县市多呈现自身高、周边低的城镇化格局;③ 与内地相似,第二、三产业从业机会是推动青藏高原城镇化发展重要因素,社会公共服务资源对城镇化拉动作用开始凸显。研究结果可以为青藏高原人类活动研究和青藏高原就地就近城镇化可持续发展政策提供参考。     

面向绿色基础设施体系优化的矿业废弃地再生研究: 以大冶为例

完善的绿色基础设施体系在重构矿业城市生态系统,提升矿业城市人居环境品质上作用关键。一方面,经过生态修复后的矿业废弃地是矿业城市绿色基础设施的重要增量,另一方面,以绿色基础设施体系优化为导向的治理是破解当前矿业废弃地治理低效的有效途径。湖北省大冶市是一座典型的资源枯竭型城市,在运用形态学空间格局分析（MSPA）方法评价大冶市绿色基础设施的基础上,结合矿业废弃地空间分布,评价其生态潜力,进而提出生态型、生活型和生产型3种矿业废弃地再生的改造方式。研究结果表明:①大冶市生态基底良好,但是景观破碎化严重,连通性弱;②大部分矿业废弃地生态潜力较高,60%的矿业废弃地可以转化为绿色基础设施;③30%的矿业废弃地适合生态型改造、52%的适合生活型改造、18%的适合生产型改造。      

Evaluation and Influence Factor of Green Efficiency of China's Agricultural Innovation from the Perspective of Technical Transformation

Agricultural innovation is important for the green transformation of agriculture. Based on the perspective of technology transformation, this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China's agricultural innovation from 2005 to 2017 utilizing the DEA model, Malmquist index, and Tobit regression analysis. The results show that: 1) The overall green efficiency of China's agricultural innovation is not high, the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency, while that in central and western China is mainly driven by the scale efficiency. The green efficiency of agricultural innovation shows significant spatial differences, and the low efficiency and relatively low-efficiency regions moved to central and southeastern China. 2) Technical progress is the main force affecting the change of green total factor productivity of China's agricultural innovation, seeing a trend of decrease followed by an increase. Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend, and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation. 3) Agricultural technologies' diffusion, absorption, and implementation are three influencing factors of the green efficiency of agricultural innovation. The local level of informatization, the number of agricultural technicians in enterprises and institutions, average education level of residents, and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation, promoting the diffusion, absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.     

Analyzing Industrial Structure Evolution of Old Industrial Cities Using Evolutionary Resilience Theory: A Case Study in Shenyang of China

The recession and revitalization of old industrial cities concerns urban industrial evolution and its characteristics. Based on the theory of evolutionary resilience, we developed an analytical framework for the industrial structure evolution of old industrial cities, and applied the framework to a case study in Shenyang. The following conclusions are drawn. First, since 1978, Shenyang's industrial growth capacity has shown fluctuation between ‘contraction-expansion'. As the secondary industry has a much stronger expansionary and contractionary capacity for growth, this results in lacking stability leading to industrial structure transformation. Second, since 1999, the orientation towards a high-end manufacturing industry in Shenyang has weakened, and the evolution of the new and old growth path is characterized by low-end orientation. Third, since 2007, Shenyang's industrial innovation output capacity has dropped sharply which has been significantly affected by scientific and technological personnel and enterprise-owed science and technology institutions and to a less extent by RD expenditure. We applied the resilience theory to study the industrial evolution of an old industrial city, explored new study perspectives on industrial evolution and verified the applicability of the resilience theory. This paper provides a scientific reference for understanding the recent deceleration in economic growth in the Northeast old industrial base, and for exploring new paths toward revitalization.     

Articulating China’s Science and Technology: Knowledge Collaboration Networks Within and Beyond the Yangtze River Delta Megalopolis in China

In this paper, we reconsider the defining but often overlooked ‘hinge' function of megalopolises by analyzing how megalopolises have articulated national and international urban systems in the context of a globalizing knowledge economy. Taking the case of China's Yangtze River Delta(YRD) region, we particularly focus on knowledge circulation within and beyond the YRD region by analyzing the pattern and process of knowledge collaboration at different geographical scales during the 2004–2014 period. Results show that the structure of scientific knowledge collaboration as reflected by co-publications has been strongest at the national scale whereas that of technological knowledge collaboration as measured by co-patents has been strongest at the global scale. Despite this difference, the structure of both scientific and technological knowledge collaboration has been functionally polycentric at the megalopolitan scale but become less so at the national and global scales. The ‘globally connected but locally disconnected' pattern of Shanghai's external knowledge collaboration suggests that the gateway role of the YRD megalopolis in promoting knowledge collaboration at different geographical scales will take time before it is fully realized.