Agglomeration Of Factors Research Articles

High-speed rail and urban green productivity: The mediating role of climatic conditions in China

Climate change has become a global challenge to the economy and society, highlighting the urgent need for effective policy interventions. Green total factor productivity (GTFP) is a sine qua non for an environmental-friendly and sustainable economy. Therefore, this study investigates the causal relationship between the High-Speed Rail (HSR) and GTFP in a panel of 277 Chinese prefecture-level cities observed from 2003 to 2016. Using the Difference-in-Differences (DiD) approach, we demonstrate that the HSR opening has significantly increased urban GTFP. Furthermore, we explore the channels of the observed positive relationship between the HSR opening and urban GTFP. Specifically, we shed light on the mediating role of climatic conditions, air pollution, and factor agglomeration in the relationship between the HSR opening and GTFP. The results show that climatic conditions significantly mediate this relationship. HSR opening leads to lower pollution and more favourable climatic conditions. Improved climatic conditions drive talent gathering, investment gathering, and green technology concentration, which translate into higher GTFP. Government policies that create favourable climatic conditions to attract green investments in human and physical capital and stimulate green innovations can translate into higher GTFP.

Interaction of economic agglomeration, energy conservation and emission reduction: Evidence from three major urban agglomerations in China

With the steady progress of regional integration, economic agglomeration effect plays an irreplaceable role in energy conservation and emission reduction. However, there is relatively little research on the two-way effect of economic agglomeration, energy and carbon emissions from a spatial perspective. This paper measures the degree of economic agglomeration from three aspects: factor agglomeration, industrial agglomeration and urban agglomeration in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD) of China. Using spatial simultaneous equation models, the study analyzes the interaction between economic agglomeration, energy intensity and carbon intensity. The results show that the agglomeration level of the PRD and the YRD is higher than the BTH region. The relationship between economic agglomeration and carbon intensity is consistent with the interaction between economic agglomeration and energy intensity. Carbon intensity has spatial spillover effect on economic agglomeration in the three regions. Economic agglomeration has a negative impact on energy intensity in the BTH region. Energy intensity has a negative impact on economic agglomeration in the YRD region, and vice versa. There is an obvious two-way restraining relationship between carbon intensity and economic agglomeration in the PRD region.

Study the effect of industrial structure optimization on urban land-use efficiency in China

Optimizing industrial structure plays an important role in changing urban land use structure and redistributing land resources among various industrial sectors, further impacting urban land-use efficiency (ULUE) and ensuring sustainable development of local industries. In this paper, we adopted the panel data of 31 provinces in China from 2000 to 2015 as case studies, and included spatially lagged dependent variable, spatially lagged exogenous variables and quadratic terms by combining the STIRPAT model with the spatial Dubin Model (SDM) together to reflect the time-lagged effects, pace-based correlation, and embedded complex nonlinearity relationship between industrial structure optimization (ISO) and ULUE separately. Leveraging such design, we first accessed the value of ULUE and ISO separately by provinces, and found interesting patterns in time and space. Temporally, the value of industrial structure upgrading (ISU) and ULUE increased gradually during 2000–2015, while the value of industrial structure rationalization (ISR) first decreased and then increased over that period. Spatially, ISU showed a strong geographical aggregation than ISR, the distribution of ULUE showed a “T” pattern from eastern to west in 2015. Then, we analyzed the effect of ISO on ULUE from three aspects, urban land structure efficiency, scale efficiency and intensive efficiency separately. Results show that the relationship between ULUE and ISO delineated as “U-shaped curve”. Among these, ISU has the greatest impact on land structural efficiency, followed by intensive efficiency, while ISR showed a U-shape distribution between structure efficiency and scale efficiency, but a reciprocal U-shape with the intensive efficiency. Moreover, the value of ULUE was affected by its pervious value, and the spillover effect of ISU stimulated the growth of local ULUE, but the ISR in the near province hindered the improvement of local ULUE. For the long-term development, it is necessary for the local government to make full use of their competitive advantages to attract more high-tech and low-consumption industries, and encourage a diversified industrial chain to speed up the agglomeration of factors in production. And it is also important to establish the coordination and interaction mechanism between west and east regions to achieve the dual objectives for ISO and ULUE promotion in China.

皖江城市带土地利用变化的生态风险格局演化研究

PDF HTML阅读 XML下载 导出引用 引用提醒 皖江城市带土地利用变化的生态风险格局演化研究 DOI: 10.5846/stxb201805291185 作者: 作者单位: 安徽师范大学环境科学与工程学院,安徽师范大学环境科学与工程学院,安徽师范大学地理与旅游学院,安徽师范大学环境科学与工程学院,安徽师范大学环境科学与工程学院 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然基金项目（41571124） Evolution of ecological risk pattern of land use change in Wanjiang City Belt Author: Affiliation: College of Environmental Science and Engineering，Anhui Normal University,College of Environmental Science and Engineering，Anhui Normal University,School of Geography and Tourism，Anhui Normal University,College of Environmental Science and Engineering，Anhui Normal University,College of Environmental Science and Engineering，Anhui Normal University Fund Project: Mechanism,measurement and effect of regional spatial networking——exemplified with the Pan-Yangtze River Delta Region 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:皖江城市带作为我国国土空间开发中的重要战略区，对经济发展和区域振兴起到了关键性的支撑作用。但是随着要素集聚和经济发展，引发了农用地向建设用地快速转变、景观格局中的关键生态涵养源萎缩、区域生态服务功能弱化等方面的快速变化，区域生态安全面临新的挑战。研究收集了皖江城市带多期、长时段的土地利用影像解译数据，获取DEM、降水、地形地貌、植被覆盖等自然生态属性数据，基于GIS平台，综合集成应用生态风险指数模型、空间自相关、半方差分析法开展生态风险格局演化研究。结果表明：皖江城市带1995-2015年近20年的生态风险整体不断上升，且存在明显的空间分异，生态风险明显增强的区域主要是合肥以及芜马铜沿江城市为主，西南大别山区与南部皖南山区没有大的变化，生态风险增加的区域主要在低海拔和低坡度的平原、丘陵地带，区域内生态风险分布的两极分化特征明显。有利于推动生态风险的理论研究，且对安徽参与长江经济带建设、保护长江具有一定的现实指导意义。 Abstract:As an important strategic region in China's territorial space development, the Wanjiang City Belt has a key supporting role in economic development and regional revitalization. An agglomeration of factors and economic development have triggered the rapid transformation from agricultural land to construction land, the shrinking of key ecological conservation sources in the landscape pattern, and the weakening of regional ecological service functions. Thus, regional ecological security is facing new challenges. In this study, natural ecological attribute data, such as DEM(Digital Elevation Model), precipitation, topography, and vegetation cover, were obtained by collecting land-use image interpretation data from different periods in the Wanjiang City Belt. By using GIS, ecological risk index, spatial autocorrelation, and semi-variance analysis were integrated into the study of the evolution of ecological risk patterns. The results showed that the overall ecological risk of the Wanjiang City Belt between 1995 and 2015 increased continuously and had clear spatial differentiation. The ecological risks of Hefei and Wuhu-Maanshan-Tongling and other cities along the Yangtze River had risen significantly, but the Dabie Mountain and the Southern mountains in the Anhui Province remained relatively stable, and those areas with increased ecological risk were mostly located in low-altitude and low-slope plains and hills. In general, there is a clear polarization of ecological risk distribution in the region. This research is conducive to improving the theoretical study of ecological risk and has a practical guiding significance for the participation of Anhui in the construction of the Yangtze River Economic Belt and the Yangtze River protection. 参考文献 相似文献 引证文献

Same Buildings Different Models: Further Studies in Ijo Vernacular Base Camp Architecture

This study examines architectural change of cultures stemming from the same ethnic source split between their homeland and other Diasporas. This change may range from minor deviations to drastic shifts away from an architectural norm and the accumulation of these shifts within a time frame constitutes variations. Based on fieldwork data obtained from an earlier study of 33 migrant fishing base camps in Bayelsa and Bakassi, this paper focuses on identifying variations between base camp dwellings of Ijo migrant fishermen, in the Bakassi Peninsula in Cameroon and Bayelsa State in Nigeria. The research uses a socio-cultural, comparative case study approach to investigate the specifics of base camp dwelling designs. This approach gives opportunities to explore the extent of the variations between the built forms, in response to internal and external forces of cultural dynamism. The qualitative methodology adopted focused on ascertaining variations through exterior evaluation of the design features, materials and construction process of the base camp dwellings. The study draws on the idea of the inevitability of cultural and social change over time to test for possibilities of variations as proposed in the theories of cultural dynamism and evolution. The findings suggest that some levels of variations between base camps models have occurred over time thus supporting the aforementioned theory and this change is attributable to an agglomeration of factors, rather than a single factor.

Externalities, Transport Networks and the Economic Growth of Urban Clusters

This article uses network analysis tools and new economic geography theory to modify the neo-classical model of regional economic growth, establishes an economic growth model of urban clusters based on externalities and transport networks through a differentiation of transaction costs, and uses the 1990-2008 data of some Chinese cities and the VAR model to test the model. Our empirical study shows that under the influence of transport networks, central cities rely on factor agglomeration for growth, while peripheral cities catch up quickly; that improved transport networks expedite the factor agglomeration of central cities; and that when some newly-added factors are reserved, increasing the node clustering coefficient and reducing peripheral cities’ transport costs will promote these cities’ application of externalities, expedite their economic growth, and facilitate the coordinated growth of central and peripheral cities. Therefore, in building the transport infrastructure, equal emphasis should be placed on linking central cities with peripheral ones and on linking peripheral cities with each other.