Urban Industrial Land Use Research Articles

Relationship between Urban Industrial Land Use Size and Sulfur Dioxide Emissions: Evidence from 294 Cities in China

Relationship between Urban Industrial Land Use Size and Sulfur Dioxide Emissions: Evidence from 294 Cities in China

Coexistence and transformation from urban industrial land to green space in decentralization of megacities: A case study of Daxing District, Beijing, China

Decentralization is essential for the sustainable socio-economic development of megacities. In the context of the decentralization of noncapital functions in Beijing, the renewal of inefficient urban industrial land (UIL) into urban green space (UGS) is an important way to improve the quality of the city. This paper analyzes the urban industrial land use efficiency (UILUE) and its urban green space suitability (UGSS) of 865 study units in Daxing District, Beijing, and combines bivariate spatial autocorrelation with cluster analysis. The results show that (1) the distribution of UIL in Daxing District is “dense in the north and sparse in the south”, and UILUE shows a spatial pattern of “high in the west and low in the east”, with a high-efficiency area of 985.85 ha, accounting for 12.06 % of the study area, and a low-efficiency area of 507.77 ha, accounting for 6.21 % of the study area. (2) Among the existing UIL, the high suitable area is 1106.46 ha, accounting for 13.57 % of the study area, and the low suitable area is 439 ha, accounting for 5.38 % of the study area. (3) Through bivariate spatial autocorrelation analysis, four types of UIL were identified, among which the low–high cluster area had the greatest potential for land conversion, with 175 study units and an area of 1335.22 ha, accounting for 16.28 % of the study area. Finally, this paper proposes recommendations for the renewal and utilization of UIL in Daxing District to provide guidance and suggestions for the decentralization of other megacities in the world.

Source apportionment of ambient PM10 collected at three sites in an urban-industrial area with multi-time resolution factor analyses

Chemical speciation data for PM10, collected for annual trend analyses of health-relevant species, at three receptor sites in a highly industrialized area (IJmond) in the Netherlands were used in a multi-time resolution receptor model (ME-2) to identify the PM10 sources in this area. Despite the available data not being optimized for receptor modelling, five-factor solutions were obtained for all sites based on independent PMF analysis on PM10 data from the three sites (IJM, WAZ and BEV). Four factors were common to all three sites: nitrate-sulphate (average percentage contributions to PM10: IJM: 35.3 %, WAZ: 37.7 %, and BEV: 36.3 %); sea salt (20.2 %, 23.7 %, 15.2 %); industrial (8.1 %, 11.0 %, 18.1 %) and brake wear/traffic (31.4 %, 21.2 %, 20.6 %). At WAZ, a local/site-specific factor containing most of the PAH measurements was found (6.4 %) while a crustal matter factor was resolved at IJM (7.6 %) and BEV (9.8 %). Additionally, sludge-drying was a potential source of the marker species in the industrial factor at WAZ. Bootstrapping (BS) and factor displacement (DISP) were applied to the factor profiles in this work for error estimation. In general, the factor profiles at all three sites had very small intervals from both BS and DISP methods. To our knowledge, this is the first time DISP was applied in a complex model such as the multi-time resolution model. Most of the measured metal and PAH concentrations found in the IJmond area during the 2017–2019 period had local sources, with significant contributions from several processes related to the steel industry. This study shows that available detailed PM10 chemical speciation data, although primarily collected for annual trend analyses of health-relevant species, could also be used in receptor modelling by applying a multi-time framework. We propose general recommendations for the optimization of the measurement strategy for source apportionment of PM in areas with similar urban-industrial land use.

Early Childcare and Education in a Post-Industrial Landscape: Inequalities in Proximity to Active and Relic Manufacturing in Metropolitan Providence, Rhode Island.

Children are uniquely vulnerable to environmental health risks associated with industrial contamination, and early childcare and education (ECE) facilities are important sites for potential exposure to environmental contaminants. Emerging research on historic urban industry has additionally demonstrated that urban environmental risk accumulates historically and spatially across urban landscapes. Accordingly, this study pairs cross-sectional data on licensed childcare facilities with longitudinal manufacturing site data in Providence, Rhode Island. We use these data to investigate the proximity of ECE facilities to active and relic manufacturing sites, controlling for a range of organizational- and tract-level characteristics. Results show that type of childcare facility (center-based vs. in-home) and language of instruction (Spanish vs. English) are important predictors of children's proximity to industrial lands, past and present. These findings indicate that Spanish-speaking children in Providence may experience a "double jeopardy" in the form of disproportionate legacy environmental hazards at ECE as well as at home-suggesting that the historical nature of urban industrial land use is an important mechanism of environmental inequality for young children.

The Impact of Green Finance on Industrial Land Use Efficiency: Evidence from 279 Cities in China

Improving the efficiency of industrial land use is of great significance to the sustainable development of cities. Based on a financial perspective, this paper studies the relationship between green finance and urban industrial land use efficiency (UILUE). First, the epsilon-based measure model was used to calculate the UILUE of 279 cities in China from 2011 to 2020, and then an empirical model is constructed to test the impact and path mechanism of green finance on UILUE. The research results show that green finance can improve the UILUE. The mediation effect test shows that the optimization of industrial structure and technological innovation are the key paths for green finance to affect UILUE. In addition, land finance inhibits the positive effect of green finance on the UILUE. This study provides new evidence for the role green finance plays in improving the efficiency of industrial land use and promoting the sustainable development of cities.

The Institutional Dynamics of Land Use Planning

Problem, research strategy, and findings Manufacturing and industrial activity can contribute to sustainable economic development, but this potential is lost to urban industrial rezonings. This is particularly the case in strong market cities where pressures to develop higher-value residential and office space are strong. The literature has documented the industrial displacement process but has yet to probe the institutional factors behind industrial rezonings or the conditions that may catalyze supportive industrial land use policy. I contribute to filling this research gap by exploring how institutional dynamics shape industrial land use planning in San Francisco (CA). Drawing on interviews and document analysis, I show how formal governance institutions, locally embedded intermediary organizations, and policy imaginaries shape policy change. Despite success in redefining and promoting the value of urban industrial lands, ongoing pressures remain with balancing competing land use agendas and priorities. Takeaway for practice This research highlights the tradeoffs and pressures involved in creating urban industrial land use policy in high-cost cities. The case draws attention to the importance of considering how the local institutional context for policymaking intersects with industry and urban development dynamics rather than assuming market logic alone dictates land use. Planners can better balance competing land use agendas and achieve positive outcomes when they focus on controlling policy narratives and work with intermediary organizations that possess specialist knowledge and connections.

Response of epilithic diatom assemblages to weir construction on the Nakdong River, Republic of Korea

In South Korea, sixteen multifunctional weirs were constructed on four major rivers (Han, Nakdong, Geum, Yeongsan) from 2009 to 2012. Hydrological changes resulting from weir construction altered the physical, chemical, and biological characteristics of natural large rivers. We aimed to investigate the variation in epilithic assemblages responding to changes in physicochemical, meteorological, and hydrological variables in the eight weir (lentic) sections of the Nakdong River, which is the longest river in South Korea. Sampling was conducted to determine the influence of environmental parameters on community composition, and to monitor the seasonality of environmental and biological patterns.A total of 173 taxa including 26 major epilithic diatom taxa were identified. Among them, nutrient-tolerant diatom species were characterized by Cyclostephanos dubius, Navicula gregaria, Fragilaria crotonensis, Aulacoseira granulata, Melosira varians, Navicula minima, Nitzschia amphibia, Amphora pediculus, and Nitzschia inconspicua. These species were primarily dominant in the midstream and downstream weir sections of the river adjacent to urban-industrial land use zones relating to nutrient enrichment. Moreover, preference for longer hydraulic retention time (HRT) was identified in C. dubius, N. gregaria, and F. crotonensis, in addition to its tolerance for high nutrition. Redundancy analysis based on the relative abundance of diatom taxa demonstrated that the diatom assemblage composition was closely related to total nitrogen (TN), total phosphorus (TP), phosphate phosphorus (PO4-P), electrical conductivity, precipitation, water discharge, and HRT. Variation partitioning analysis further revealed that hydrological-meteorological variables play a synergistic role in enhancing the function of physical and chemical variables in structuring diatom assemblage composition soon after weir construction. A generalized linear model using the Akaike’s information criterion also suggests that the trophic diatom index (TDI) could indicate the water quality status in the weir sections, as the TDI was positively correlated (p < 0.05) with nutrients (TN and PO4-P). Our findings inform the applicability of using the TDI for efficiently monitoring and managing the water quality of consecutive weir sections of the Nakdong River and the weir systems of other rivers in temperate regions.

Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China

Land scarcity is increasingly becoming a binding constraint on sustainable economic growth in countries undergoing rapid industrialization and urbanization, and research on the estimation and determinants of urban industrial land use efficiency (UILUE) has received considerable attention. However, previous studies have mainly focused on the socio-economic factors affecting UILUE, and little attention has been devoted to the impacts exerted by the size characteristics of cities. This research proposes an analytical framework for exploring the effects of city size on UILUE from the perspective of agglomeration externalities, and empirically investigates such effects by estimating the spatial models of the determinants of UILUE, using data for 79 cities in eastern China for the period 2010−2016. The results suggest that city size has an inverted U-shaped impact on UILUE. There exist significant spatial interaction impacts and spatial heterogeneity of agglomeration effects between the sample cities. The actual city size in the year 2016 is also compared with the efficiency-maximizing city size. It is found that 12 out of the 79 cities are above the size where industrial land use efficiency peaks, and 67 cities are below the efficiency-maximizing size. Since most cities are away from the efficiency-maximizing size, there is a necessity to improve urbanization policies, land use policies and urban management policies so as to fully exploit gains from agglomeration and reduce agglomeration diseconomies.

Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China

In recent decades, efficiency and intensification have emerged as hot topics within urban industrial land use (UILU) studies in China. However, the measurement and analysis of UILU efficiency and intensification are not accurate and in-depth enough. The study of UILU efficiency loss and intensification potential and their relationship is still lacking, and the application of parametric methods with clearer causal mechanisms is insufficient. This paper argued that the intensification potential of UILU could be defined as the amount of saved land or output growth resulting from reduced efficiency loss of UILU. Accordingly, we constructed quantitative models for measuring and evaluating the intensification potential of UILU, using the stochastic frontier analysis (SFA) method to calculate efficiency loss in three major urban agglomerations (38 cities) in China. Our results revealed a large scale and an expanding trend in the efficiency loss and intensification potential of UILU in three major urban agglomerations in China. From 2003 to 2016, the annual efficiency loss of UILU was 31.56%, the annual land-saving potential was 979.98 km2, and the annual output growth potential was 8775.23 billion Yuan (referring to the constant price for 2003). It is, therefore, imperative to formulate and implement better policies and measures to promote further intensification and to reduce inefficiency, especially in the Yangtze and Pearl River Deltas and prioritizing a few key cities, such as Dongguan, Shenzhen, and Shanghai.

基于Super-SBM模型的中国省域城市工业用地生态效率时空演变及影响因素研究

PDF HTML阅读 XML下载 导出引用 引用提醒 基于Super-SBM模型的中国省域城市工业用地生态效率时空演变及影响因素研究 DOI: 10.5846/stxb201811162490 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（41661113）；江西省社会科学规划项目（18YJ13） Spatio-temporal changes of eco-efficiency and influencing factors of industrial land use at the provincial level of China Author: Affiliation: Fund Project: 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:研究城市工业用地生态效率能够准确认识当前城市工业用地可持续发展水平，对节约和集约用地具有重要意义。以省域为单位，运用Super-SBM模型测算2000-2016年中国30个省（市、区）城市工业用地生态效率，分析其时空演变特征，并运用面板数据模型对其影响因素进行实证分析。结果表明：（1）2000-2016年中国城市工业用地生态效率总体呈下降趋势，总体下降5.81%，年均下降0.35%，其过程呈现"先下降后上升"两阶段变化特征；（2）工业用地生态效率均值相对无效率城市远多于相对有效率城市，生态效率均值最高的是海南，其次为北京和上海，排在最后三位的是四川、江西、山西；（3）生态效率有效的省（市、区）个数先大幅度减少后小幅度增多，有效区域由东部地区、西北、东北地区向东南地区、东北经济发达沿海地区、西北地区、华北地区转移；（4）2000-2016年城市工业用地生态效率均值按从大到小排序依次为华南地区、华北地区、华东地区、西北地区、东北地区、西南地区和华中地区，区域间城市工业用地生态效率存在较为显著的差异，且随着城市工业的发展区域差异呈增大趋势；（5）环境管制力度、工业行业集聚程度、工业对外开放水平对城市工业用地生态效率起显著正向促进作用，而经济发展水平、土地市场化水平、工业行业产权结构、土地使用成本对城市工业用地生态效率则起显著负向阻碍作用，工业能源消费结构、工业产业结构对城市工业用地生态效率影响不大。从研究数据与指标选取的局限性以及未来研究的重点方向等方面进行了探讨。 Abstract:The current sustainable development level of urban industrial land could be accurately judged by researching the eco-efficiency of urban industrial land, which is of great significance for conservation and intensive land use. Super-SBM model is used to calculate the eco-efficiency of urban industrial land in 30 provinces (cities and districts) from 2000 to 2016 and to analyze the spatio-temporal characteristics of urban industrial land eco-efficiency as well as the empirical analysis of influencing factors by using panel data model. The results showed that:(1) The eco-efficiency of urban industrial land use outnumbered a downward trend from 2000 to 2016, with an overall decrease of 5.81% and annual average decrease of 0.35%, containing a characteristic of a two-stage change of "decrease firstly and then increase" during the process. (2) The cities with effective eco-efficiency of urban industrial land use outnumber those of ineffective eco-efficiency. Hainan was ranked top according to the ecological efficiency on average, followed by Beijing and Shanghai and the last three were Sichuan, Jiangxi, and Shanxi. (3) The number of eco-efficient provinces (cities and districts) decreased greatly firstly and then increased slightly. The effective regions had transferred from eastern, northwestern, and northeastern regions to southeastern regions, northeast economic developed coastal regions, northwestern regions and northern regions in China. (4) The means of ecological efficiency of urban industrial land in descending order was respectively South China, North China, East China, Northwest China, Northeast China, Southwest China, and central China from 2000 to 2016. There were significant differences in the eco-efficiency of urban industrial land among regions and the regional differences enlarged with the development of urban industry. (5) The strength of environmental regulation, industrial agglomeration and industrial opening to the outside world played a significant positive role in promoting the ecological efficiency of urban industrial land whereas economic development level, the level of land marketization and industrial property structure played the opposite role and the industrial energy consumption structure and industrial structure had no significant effect on ecological efficiency. In the end of the paper, there was a detailed discussion about the limitations of data and index selection in this study and the key directions of future research. 参考文献 相似文献 引证文献

Urban industrial land use efficiency under the background of economic transformation in the Yangtze River Economic Belt

Urban industrial land use efficiency under the background of economic transformation in the Yangtze River Economic Belt

The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data

Urban industrial land (UIL), which is classified for industrial purposes, is an indispensable component of urban land. Obtaining up-to-date and timely UIL details from the industrial development perspective has practical significance for UIL planning. Therefore, we propose a practical method for integrating UIL identification and use efficiency evaluation at the parcel scale based on multi-source data. The Open Street Map (OSM) data were utilized to generate parcels, which served as basic analytical units. Point of Interest (POI) data combined with a Continuous Bag-of-Words (CBoW)-based Word2Vec model was utilized to acquire UIL information. The entropy-weight Technique for Order Preference by Similarity to Ideal Solution method, combined with economic and environmental UIL indicators obtained from remote sensing images, ground observation data, and statistical data, was used to evaluate UIL use efficiency, and the spatial distribution and utilization degree of UIL within Beijing’s fifth ring road was analyzed. The region within Beijing’s fifth ring road was classified into commercial land, industrial land, and other types, with an overall accuracy of 92.24%. With this method, we found that the distribution of UIL presented a ring structure developing outwards along the ring roads and contained concentrated commercial areas. UIL utilization exhibited a south–north differentiation, and industrial land had lower use efficiency. Our work fully utilized the available fine-scale multi-source data.

Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China

The implementation of the Beijing, Tianjin, and Hebei coordinated development strategy has seriously increased the influence of land use and urban traffic. Thus, understanding the coordination between urban land and transportation systems is important for the efficient and sustainable development of cities, especially in this rapidly urbanizing era. Urban–industrial land and highway networks are, respectively, primary types of urban land and transportation systems, and have significant impacts on social and economic development. However, limited studies have been conducted to examine the relationships between urban–industrial land and highway networks. Therefore, this paper aims to examine the coupling coordination relationship between urban–industrial land use efficiency, and the accessibility of the highway networks of cities. Specifically, in the context of the Beijing–Tianjin–Hebei (BTH) urban agglomeration, the coupling coordination between urban-industrial land use efficiency and accessibility of the highway traffic network was empirically analyzed. The results show that: (i) The differences in urban-industrial land use efficiency in the BTH region are significant. Capital cities in the BTH urban agglomeration have higher economic, social, and comprehensive efficiency, while in industrial cities, the use of urban–industrial land should prioritize ecological and environmental issues. (ii) Because of its good geographical location Beijing has the best accessibility, with an accessibility index of 1.416, while Qinhuangdao had the lowest accessibility index of 0.039. (iii) In most BTH cities, the urban-industrial comprehensive land use level has fallen behind the highway network development level. The results of this study can provide references for the coordinated development of the BTH urban agglomeration.

Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China

Along with the globally increasing concern for environmental sustainability, improving urban industrial land use efficiency (UILUE) is critically important for China’s development trajectory. However, the existent studies on UILUE in China are mainly conducted at the provincial level, which significantly undermines their value for tailoring practical policy formulations for lower-level governments. To fill this gap, this paper aims to investigate the spatial and temporal pattern of UILUE in China at the prefectural level, examining the underpinning influential factors for the period 2000–2014. Employing the means of spatial autocorrelation and regression, it is found that UILUE in China has improved significantly over the past decade in general but is also accompanied by significant spatial variations. UILUE is positively related to the agglomeration of industries, labour, capital, and technology, in which technology has fundamental effects upon the other factors. It is suggested to policy makers that government policy interventions should be placed predominantly upon technology regulation, i.e., setting admittance criterion for foreign direct investment (FDI), and industrial investment. For future studies, consistent efforts ought to be exerted to examine UILUE at and even under the prefectural level to achieve better understanding among academics and policy practitioners.

Multidisciplinary approach to a study of water and bottom sediment quality of streams associated with mixed land uses: Case study Del Gato Stream, La Plata (Argentina)

Surface water bodies receive a basin's wide diversity of pollutants, especially when there are mixed land uses. Among the many environmental tools to assess a body water quality, most studies use only a few. In addition these studies, usually, are focused only on a set of pollutants and an environmental matrix. The Del Gato Stream – a surface watercourse within of more populated area of Argentina – exemplifies the typically contrasting land uses around this area's streams. The predominant land uses along of the stream are agricultural in the upper, urban and industrial the middle, and animal husbandry in the lower subbasin. The aim of this study was to use a multidisciplinary approach to evaluate the environmental quality of that stream as a model of surface-water bodies within mixed-land-use regions in the Buenos-Aires metropolitan area. At each of the sampling sites – distributed along the stream as follows: 3 in the upper, 4 in the middle, 3 in the lower subbasin – general water parameters were measured; water and sediment samples taken for physical, chemical, microbiological, and ecotoxicological analysis; and the variables in each environmental matrix, analyzed separately and jointly. The stream presented a significant general deterioration, the middle subbasin with urban-industrial land use being the most impacted, where metals and metalloids recorded highest levels, and the rest of the measured parameters were also found at high levels. The upper subbasin had the highest quality, and the lower subbasin proved poor quality regarding microbiological variables, nutrients, and general water parameters. The tests included in the toxicity battery did not reflect a common pattern of toxicity along the watercourse. However, when they were integrated in the EDAR index, the middle subbasin was the most affected sector of the stream. Although, the usefulness of each analysis tool must be evaluated taking into account the objective of the study, if the aim is to know the general environmental quality of a stream, the multiple-factor analysis proved to be the most effective means in complex systems under the influence of great diversity of pollution sources. This study provides relevant information about the ecological quality of a stream representative of a region with scarce environmental information.

Spatiotemporal differences and convergence of urban industrial land use efficiency for China’s major economic zones

Based on an SBM model, this paper first analyzes the spatial differences of urban industrial land use efficiency (UILUE) in the six main economic zones of China. Then, we analyze the dynamic changes in the urban industrial land’s total factor productivity (UILTFP) by using the Malmquist productivity index approach, and we examine the UILTFP’s convergence. The results show that the Pearl River Delta and the Yangtze River Delta have a higher UILUEs but show downward trends in UILTFPs. The other four zones, Beijing-Tianjin-Hebei, Chengdu-Chongqing, Guanzhong-Tianshui and the Central Plains, show poorer UILUEs but have upward trends in UILTFPs. A significant excess supply of industrial land and labor exists in all six zones, and the zones in economically developed areas perform better in industrial output. The results of the convergence test do not support σ-convergence but support conditional β-convergence for all zones. These results indicate that the gaps in the UILTFP of industrial land in all six zones, in fact, do not narrow, and the UILTFPs of cities will converge to their own steady states. The regression results of the influencing factors show that the urbanization rate should be increased in the Pearl River Delta and reduced in Beijing- Tianjin-Hebei. The Yangtze River Delta and Chengdu-Chongqing should pay more attention to the problem of industrial labor surplus, and the Pearl River Delta should reduce the proportion of industrial output. All zones should focus on improving the quality of the industrial economy and the land use intensity.

THE ANATOMY OF URBAN INDUSTRIAL LANDUSE IN TAIWAN: SOME OBSERVATIONS AND SUGGESTIONS

Abstract This paper tries to answer the question why urban industrial landuse in Taiwan is in such a chaos: designated urban industrial zones are clearly underused, while nonindustrial districts are invaded by all sorts of manufacturing and related operations. It reports on an empirical survey conducted on factory owners in nine cities and towns. Results show that, because of the small size of a typical establishment, minimizing space-related costs is a predominant consideration in the locational decisions. The answer-mixed urban landuse—is supported by Taiwan's traditional way of living as well as the lack of effective regulation, and enhances its international competitiveness. Suggestions on zoning improvement are also touched upon.