The effects of industrial pollution on ecosystem service value: a case study in a heavy industrial area, China

Ji, Siwen; Ma, Shihua

doi:10.1007/s10668-021-01728-y

Cited by 20 publications

(7 citation statements)

References 85 publications

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“…To gain a more comprehensive understanding of the effects of urbanization on the ESs, this paper also measured the spatial correlation between urbanization and ESs in neighboring areas through global bivariate Moran's I, and the results reveal that the high-urbanization value areas in the central cities of Beijing and Tianjin exerted a negative impact on the ESs in neighboring areas, with a significant spillover effect. The reason for this phenomenon may be that Beijing and Tianjin require large amounts of energy and materials for the twin engines of development of the BTH, and the neighboring areas, as the energy and material suppliers of these highly urbanized areas, continuously provide raw materials for urban development by exploiting natural resources and emitting pollutants including harmful gases such as SO 2, garbage and industrial waste, which generates a negative impact on the surrounding ecosystem [77][78][79]. This is why we observed large areas of low-ES surrounding large, highly concentrated urban centers.…”

Section: Spatial Heterogeneity Analysis Of the Impact Of Urbanization...mentioning

confidence: 99%

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Wang

Zha

et al. 2022

Sustainability

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Urban agglomerations have become the new spatial unit of global economic competition. The intense socioeconomic activities attributed to the development of urban agglomerations are bound to cause damage to the ecosystem services of these urban agglomerations. This study adopts the Beijing-Tianjin-Hebei urban agglomeration in China as the research object, analyzes the spatiotemporal evolution of its critical ecosystem service capacity to address regional ++-development risks from 2000–2018, and employs the Moran’s I and geographically weighted regression model to explore the spatial correlation and spatial heterogeneity in the responses of urbanization and ecosystem services. The study indicates that (1) from 2000–2018, the ecosystem services of the Beijing-Tianjin-Hebei urban agglomeration exhibit an increase and then a decline, reaching the highest index in 2015; (2) the ecosystem services reveal obvious spatial heterogeneity with the Yan and Taihang Mountains region as the boundary; (3) built-up area ratio, GDP density, and population density exhibit highly obvious negative correlation driving characteristics on ecosystem services; and (4) the construction land ratio exerts a notable impact on areas with a high ecosystem services, while the spatial response of the effect magnitude of the population and GDP densities is largely influenced by intensive, high-pollution and energy-consuming industries. This article also proposes strategies for the optimization of ecological resources and spatial control, which are dedicated to mitigating the negative impacts of rapid urbanization processes on ecosystem services.

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Section: Spatial Heterogeneity Analysis Of the Impact Of Urbanization...mentioning

confidence: 99%

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Wang

Zha

et al. 2022

Sustainability

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“…One out of each eight deaths is supposedly caused by poor air condition (Balakrishnan et al, 2019 ). A more severe effect of the urban environment is seen in industrial cities of India, where rapid urban expansion and increased automobile and industrial innovation create more harmful effects (Ji & Ma, 2022 ). Pollution level rises with the presence of industrial activities.…”

Section: Introductionmentioning

confidence: 99%

“…The NO 2 concentration, on the other hand, is strongly related to automobile emissions (Carslaw et al, 2016 ; Weng & Yang, 2006 ). A high concentration of these parameters not only reduces visibility but also ushers serious harmful effects on, soil water and crops (Ji & Ma, 2022 ). The concentration of these pollutants beyond permissible level causes different levels of respiratory issues in humans.…”

Section: Introductionmentioning

confidence: 99%

Understanding Responses of Atmospheric Pollution and its Variability to Contradicting Nexus of Urbanization–Industrial Emission Control in Haldia, an Industrial City of West Bengal

Yadav

Mitra

Santra

et al. 2023

J Indian Soc Remote Sens

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Poor atmospheric health has been causing millions of deaths globally by attacking the respiratory system. According to the World Health Organization, India has the most heavily polluted cities overall and contributes significantly to the annual particle concentration at a global level. This situation demands intensive and extensive monitoring systems for strategy optimization at various levels of governance to combat health and environmental. These strategies include an efficient air quality control strategy, the management of pollution sources while taking into account both local and national controls, etc. However, inadequacy in monitoring stations, which are primarily targeted at cities, has kept most of the small towns and villages out of the radar. This poses difficulty in assessing pollution levels at the local and regional scales, thereby causing a poor understanding of the intensity and spatio-temporal variability of pollutant concentration. Addressing this issue, an attempt has been made in this study to understand the atmospheric pollution of an industry-based city, Haldia in West Bengal, where all the monitoring stations are situated in industrial centers and function nearby making a larger part unmonitored. Handheld instruments were used to collect field data for five other stations selected mainly from non-industrial areas experiencing rapid detrimental land use conversion. Despite being spatially consistent in higher (2015–2019 mean of 95) and lower Air Quality Index (2015–2019 mean of 65), respectively, in industrial and non-industrial areas, contradicting temporal trend is quite distinct in them. Pollution has increased in areas experiencing rapid LULC change, especially in rapidly urbanized areas, whereas industrial emission controls and implementation of various pollution control strategies, including implementation of pollution base profiling and baseline policy action, graded response action plan, etc., have been successful in abating pollution in areas near industries. The study pinpoints the requirement of spatially consistent awareness in rapidly urbanized sections of Haldia to avoid possible environmental hazards caused by urbanization and the necessity of having a dense network of monitoring stations to capture local variations in pollutant concentrations for a better understanding of atmospheric health.

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“…This is consistent with existing research. Industrialization has brought serious pollution problems to the ecological environment, resulting in the decline of water and air quality, soil structure destruction, etc., and has severely weakened the ecosystem service functions of concentrated industrial areas [68]. Therefore, strengthening the city's management of industrial production factors and reducing pollutant emissions is one of the important ways to improve ECILU on the basis of building a sustainable city [69].…”

mentioning

confidence: 99%

Ecological Efficiency of Urban Industrial Land in Metropolitan Areas: Evidence from China

Pan

Ling

et al. 2022

Land

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Industrial land is an indispensable strategic resource in urban development that plays an indispensable role in ensuring the industrial space of urban construction and development. Measuring and analyzing the eco-efficiency of industrial land utilization (ECILU) can provide insights into how to maximize the input–output ratio of industrial land and ensure the sustainable development of land resources and economies. Based on the undesirable output slacks-based measure (SBM) model, choosing land, capital, and labor as input indicators, and the industrial added value and carbon emissions as desirable and undesirable output indicators, this study measured the ECILUs in 78 cities and 13 metropolitan areas in four Chinese major economic zones from 2007 to 2018, analyzed their spatial and temporal evolution characteristics and regional differences, and constructed a Tobit regression model to test the influence mechanism of each variable on the ECILUs in different regions. This has important theoretical and practical significance for the Chinese government in formulating relevant policies and realizing the green utilization of urban land in the future. Empirical results showed that the ECILUs in most cities were low and that the differences between regions were large. The ECILU in the Western Economic Zone was relatively high, followed by the Eastern, Central, and Northeastern Economic Zones. According to the ECILU value and urban synergy degree of each metropolitan area, this study divided the 13 metropolitan areas into four categories. The regression analysis results showed that the variables had different effects on the ECILUs of all cities and the four economic zones in China. It is suggested that all economic zones should reinforce the optimization of industrial structure, control industrial pollutant discharge, and solve the phenomenon of labor surplus. The Eastern Zone should maintain the growth of its economy while focusing on soil quality. The Central Zone should focus on the efficient use of infrastructure, and the Western, Northeastern, and Central Zones should balance the green coverage area and the industrial land area to ensure the efficient use of urban industrial land.

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The effects of industrial pollution on ecosystem service value: a case study in a heavy industrial area, China

Cited by 20 publications

References 85 publications

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China

Understanding Responses of Atmospheric Pollution and its Variability to Contradicting Nexus of Urbanization–Industrial Emission Control in Haldia, an Industrial City of West Bengal

Ecological Efficiency of Urban Industrial Land in Metropolitan Areas: Evidence from China

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