Industrial Pollutant Emissions Research Articles

Does Public Interest Litigation Promote the Performance of Urban Environmental Governance? An Empirical Study Based on Micro-data of 287 Prefecture-level Cities

In the context of the“new normal”of China’s economy, serious environmental pollution is hindering the high-quality development of China’s economy. Environmental governance is inseparable from the protection of the rule of law, but in China’s traditional environmental governance, the administrative department and the judicial department perform their respective duties, which easily leads to environmental pollution governance as a mere formality. Promoting the effective linkage of environmental administration and environmental justice is the inherent requirement of improving the ecological environment and promoting the green and high-quality development of economy. Based on the data of 287 prefecture-level cities in China from 2010 to 2018, this paper uses the multi-period DID method to empirically test the pollution emission reduction effect of the public interest litigation system by procuratorate. First of all, we test the impact of the public interest litigation system by procuratorate on industrial emissions as a whole. The numbers of civil, administrative and criminal incidental civil cases are chosen as the dependent variables to test the implementation of the system. Secondly, we use the mediation effect model to explore the internal mechanism of the public interest litigation system by procuratorate to improve the performance of urban environmental governance. Thirdly, we test the heterogeneity of all prefecture-level cities. Finally, the parallel trend test and the placebo test are used to test the robustness of the results. The findings are as follows: Firstly, the public interest litigation system by procuratorate can effectively reduce the emissions of industrial pollutants and improve the performance of urban environmental governance. Secondly, its main mechanism is to promote the governance of urban environmental pollution through environmental supervision of procuratorial organs, judicial and administrative linkage, and enhancing the participation of citizens in environmental governance. Thirdly, the public interest litigation system by procuratorate has a better emission reduction effect in the central region. At the same time, the system has a good implementation effect in key environmental protection cities. Based on the above, this paper believes that we should strengthen the linkage between environmental administration and environmental justice from the construction of the ecological co-governance system of multiple administrative and judicial subjects, and the construction of the communication and cooperation mechanism between procuratorial organs, the public and environmental protection organizations.

Sources of and Control Measures for PTE Pollution in Soil at the Urban Fringe in Weinan, China

The environment of the urban fringe is complex and frangible. With the acceleration of industrialization and urbanization, the urban fringe has become the primary space for urban expansion, and the intense human activities create a high risk of potentially toxic element (PTE) pollution in the soil. In this study, 138 surface soil samples were collected from a region undergoing rapid urbanization and construction—Weinan, China. Concentrations of As, Pb, Cr, Cu, and Ni (Inductively Coupled Plasma Mass Spectrometry, ICP-MS) and Hg (Atomic Fluorescence Spectrometry, AFS) were measured. The Kriging interpolation method was used to create a visualization of the spatial distribution characteristics and to analyze the pollution sources of PTEs in the soil. The pollution status of PTEs in the soil was evaluated using the national environmental quality standards for soils in different types of land use. The results show that the content range of As fluctuated a small amount and the coefficient of variation is small and mainly comes from natural soil formation. The content of Cr, Cu, and Ni around the automobile repair factory, the prefabrication factory, and the building material factory increased due to the deposition of wear particles in the soil. A total of 13.99% of the land in the study area had Hg pollution, which was mainly distributed on category 1 development land and farmland. Chemical plants were the main pollution sources. The study area should strictly control the industrial pollution emissions, regulate the agricultural production, adjust the land use planning, and reduce the impact of pollution on human beings. Furthermore, we make targeted remediation suggestions for each specific land use type. These results are of theoretical significance, will be of practical value for the control of PTEs in soil, and will provide ecological environmental protection in the urban fringe throughout the urbanization process.

The effects of emission trading scheme on industrial output and air pollution emissions under city heterogeneity in China

Ecological degradation has become one of the constraints on the development of human society. To deal with pollutant emissions, governments around the world have implemented emission trading schemes (ETS). However, although the effectiveness of ETS policies has been widely acknowledged, it is unclear whether the policy effects depend on regional characteristics. To address this research gap, this study integrated the propensity score matching method and multi-period difference-in-difference model (PSM-DID) to examine the impacts of ETS on industrial output and pollution emissions, and the influence of city heterogeneity on policy effects. The results showed that the ETS positively affected industrial output and negatively affected pollutant emissions in the pilot cities. Furthermore, implementation of the ETS was more conducive to increasing industrial output while reducing emissions in cities with larger populations, higher financial development levels, and worse air quality. Nevertheless, in lower industrialized cities, the ETS implementation was more prominent in promoting industrial output. In this case, the environmental effect was lower than that in cities with higher industrialized. The findings provide a better understanding of city heterogeneity of ETS policy effects.

Monitoring dan Kontrol Gas CO Dalam Ruangan Berbasis Pemrograman LabVIEW dan Mikrokontroler

Carbon dioxide is gas produced by industrial pollution and motor vehicle exhaust emissions. The air is declared clean and healthy for human activities if the CO level does not exceed 15 ppm. Industrial pollution or motor vehicle pollution does not only pollute the outdoor air, but it is very likely to pollute the indoor air. For this reason, a system that is able to monitor and control CO levels in the room has been designed so that it is safe for users while doing this activities. The research stage is carried out by making a series of sensors to detect CO gas and then the sensor circuit is connected to the Arduino UNO microcontroller as an interface with a PC. The program used is LabVIEW programming as a neural programming for displaying Virtual Instruments as display media. The output system is an air purifier system that cleans the indoor air when the CO level is more than 15 ppm. Based on the results of trials and analyzes, the response of the sensor system is able to detect changes in CO gas within 7 seconds. The average monitoring of CO levels result when observed 30 times was 11.47 ppm. The air purifier response time is able to restore indoor CO levels to the maximum threshold of 15 ppm in the fastest time of 3 minutes and 22 seconds.

The Environmental Effects of International Trade in China: Measuring the Mediating Effects of Technology Spillovers of Import Trade on Industrial Air Pollution

China is in a strategic phase of an industrial green transformation. Industrial air pollution is a key environmental target for governance. Because import trade is a core channel through which advanced environmental protection technology is absorbed, the question of whether technology spillovers brought about by import trade can reduce industrial air pollution emissions is a topic worth exploring. This paper uses a generalized spatial two-stage least-square (GS2SLS) model to explore the impact of import trade technology spillovers on industrial air pollution emission intensities using panel data from 30 provinces and cities between 2000 and 2017. Economic scale, industrial structure, and technological innovation are used as intermediary variables to test whether they play mediating effects. The results show that: (1) capital and intermediate goods technology spillovers directly reduce industrial air pollution emission intensity and (2) import trade technology spillovers indirectly reduce emission intensities by expanding economic scale, optimizing industrial structure, and enhancing technological innovation through mediating variables. Furthermore, industrial structure optimization and technological innovation have the largest mediating effects on industrial SO2, while economic expansion has the most significant mediating effect on industrial smoke and dust. The mediating effects of technology spillovers from intermediate goods exceed those of capital technology spillovers. Finally, industrial air pollution emission intensity demonstrates both spatial agglomeration and time lag effects. Environmental regulations and energy structure are shown to increase industrial air pollution emissions, while urbanization and foreign direct investment reduce industrial air pollution. Based upon these research results, some pertinent policy implications are proposed for China.

Collaborative Governance Mechanism of Climate Change and Air Pollution: Evidence from China

Since entering the industrialized era, China’s greenhouse gas emissions and air pollutant emissions have increased rapidly. China is the country with the most greenhouse gas emissions, and it is also facing serious local air pollution problems. China’s industrial sector is the largest contributor to CO2 and air pollutants. The resulting climate change and air pollution issues have caused China to face double pressures. This article uses the CO2 and comprehensive air pollutant emission data of China’s industrial sector as a starting point and uses econometric research methods to explore the synergy between China’s industrial carbon emission reduction and industrial comprehensive air pollutant emission reduction. The synergistic effect between industrial carbon emissions and industrial comprehensive air pollutant emissions has been quantified, and the transmission path of the synergistic effect has been explored. The empirical results show that there are benefits of synergistic governance between climate change and air pollution in China’s industrial sector. Every 1000 tons of carbon reduction in the industrial sector will result in 1 ton of comprehensive air pollutant reduction. The increase in R&D expenditure in the energy and power sector can significantly promote the reduction of air pollutants in the industrial sector. Increasing the intensity of environmental regulations is the main expansion path for synergy. However, in eastern, central, and western China, the synergy is not the same. Therefore, it is necessary to formulate regionally differentiated emission reduction policies. The research conclusions of this article can provide policy references for the coordinated governance of climate change and air pollution in China.

Does the Green Industry Policy Reduce Industrial Pollution Emissions?—Evidence from China’s National Eco-Industrial Park

As a regional green industrial policy, the construction of national eco-industrial parks is of great significance to the realization of industrial green transformation, while its environmental effects and mechanisms have not yet been clarified. Using panel data from 308 prefecture-level cities in China from 2003 to 2017, this study takes the establishment of 3 national-level ecological industrial parks as a quasi-natural experiment, also using a time-varying difference in difference model to examine how green industrial policies affect industrial pollution emissions. The study found that the establishment of a national eco-industrial park has significantly reduced industrial sulfur dioxide emissions, and the emission reduction effect has a lag effect and long-term impact. In cities with strong environmental regulations, provincial capitals and municipalities, and cities with a high degree of marketization, eco-industrial parks have better emission reduction effects, while, in cities with greater economic growth incentives and fiscal pressures, eco-industrial parks are difficult to achieve emission reduction effects. The establishment of national eco-industrial parks can reduce industrial pollution emissions by improving pollution treatment efficiency and energy efficiency, as well as promoting industrial agglomeration. China should continue to promote the implementation of green industrial policies, to strengthen the construction of national-level eco-industrial parks at this stage.

How public and government matter in industrial pollution mitigation performance: Evidence from China

Every country must face the problem of controlling industrial pollution during industrialization. Although low-carbon development has become important to global economic development, industrial pollution remains a problem in rapidly industrializing developing countries. With China as a case study, this paper utilizes the Malmquist index based on game cross-efficiency to measure the industrial pollution mitigation performance (IPMP) in each province of China. Labor and money variables related to industrial pollution mitigation are taken as the input indexes, and the reduction rate of various industrial pollution emissions are taken as the output indexes. From the perspectives of the public and the government, this paper further explores the influencing factors on the IPMP. Considering that there may be a nonlinear relationship between the influencing factors and the IPMP, nonparametric kernel regression is employed to explore the effect by the influencing factors, and the nonparametric bivariate density estimation is used to verify the regression results. The main conclusions of this study are as follows: (1) Due to the concentration of heavy industry, the IPMP is low in northern China. In contrast, the IPMP in central and western China is relatively high. (2) Public supervision has a positive impact on the IPMP. However, the results of heterogeneity analysis show that this effect is different in eastern, central and western China. As a result, under a high degree of public supervision, the regional IPMP will be significantly improved. (3) Public concentration has a positive “U”-shaped impact on the IPMP. The heterogeneity analysis shows that eastern China also has this “U”-shaped characteristic, while the public concentration of central and western China has a positive impact on the IPMP; that is, similar to the public supervision, under a high degree of public concentration, the regional IPMP will be significantly improved. (4) In areas where the enforcement of environmental law is strict, government supervision has a positive impact on the IPMP. By contrast, in areas where environmental law enforcement is not strict, government supervision does not have a positive impact on the IPMP. (5) Due to the failures of policy design and implementation, government concentration has a negative impact on the IPMP. China is the largest developing country in the world. It is of great significance to study its IPMP and the roles of public and government, as it provides other developing countries with insights regarding the experience of industrial pollution control.

Analysis of China's Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR.

With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.

Spatial and temporal variation characteristics of atmospheric NO2 and SO2 in the Beijing-Tianjin-Hebei region before and after the COVID-19 outbreak.

Emergency response mechanisms were activated throughout China during the COVID-19 outbreak. It is different from the temporary, partial, and limited pollution control measures taken to ensure the regional environmental quality during several important events such as the 2008 Beijing Olympic Games and the 2014 Asia-Pacific Economic Cooperation (APEC). During the COVID-19 epidemic period, extensive movement of people and almost all unnecessary industrial production (necessary industrial production refers to the production of food, epidemic prevention materials, etc.) have been severely restricted, so transportation and industrial production have been greatly reduced. This is a rare extreme emission reduction scenario that presents a unique opportunity for atmospheric research. In this study, based on hourly mass concentration data of NO2 and SO2 from atmospheric monitoring sites in the Beijing-Tianjin-Hebei (BTH) region during the COVID-19 epidemic period, the changes in transportation and industrial production in the region, data statistics, and spatial analysis were used to analyze the pollution changes and their causes. The results indicate that the NO2 and SO2 concentrations in the BTH region decreased significantly during the epidemic period. The spatial distribution pattern of NO2 pollution in the BTH region was “high in the southeast and low in the northwest,” and SO2 pollution in the BTH region was high in the southern and eastern parts of Hebei. The initiation of emergency response level 1 had an obvious effect on reducing NO2 and SO2 pollution in the region, while the impact of emergency response level 2 and below was limited. Compared with the single traffic control, the comprehensive control, similar to the emergency response, had a better effect on reducing NO2 pollution in the region. The control of major large cities in the region also had a certain effect on alleviating NO2 and SO2 pollution in the entire region. Moreover, for activities under short-term control, it is particularly important to guard against the “retaliatory growth” after the control is lifted. By reducing and controlling some polluting industries in industrial production, the degree of NO2 and SO2 pollution in the region can be effectively reduced. The manufacturing industry of chemical raw materials and the chemical products and non-metallic mineral products industry made a great contribution to the change in industrial source pollution emissions in the BTH region during the COVID-19 epidemic. Road traffic emissions remained an important source of NO2 emissions in the BTH region during this period. NO2 emission reduction can be effectively achieved by controlling road traffic and transportation.

The Role of Land Use Transition on Industrial Pollution Reduction in the Context of Innovation-Driven: The Case of 30 Provinces in China

With the world calling for environmental protection, China has to follow an innovation-driven development path in order to achieve its own high-quality and sustainable development. During this period, the problem of inefficient land use resulting from rapid progress in urbanisation is difficult to ignore. This study uses data from 30 provinces in mainland China to analyse the environmental protection effects of land use transition towards innovation-driven development, using spatial econometric models and entropy method. The results show that the innovation-oriented land use transition in four dimensions, human capital, material capital, urban function and government, is conducive to reducing industrial pollution emissions in the region, but this effect does not have a spillover effect. The results of this study provide some insights into the “triple-win” (environmental protection, innovation and land-use optimisation) approach to economic development in China.

Research on Advanced Available Techniques of Air pollution Prevention and Control in Building Ceramics Industry in China

The flue gas emission of the building ceramics industry accounts for 85% of the whole ceramic industry in China, and it is the critical sector of air pollution control in the ceramic industry. The advanced available techniques (AAT) of air pollution prevention and control are of considerable significance to promote the upgrade of pollution prevention measures and technological progress. The paper studied and established the method of screening and evaluating the AAT for the prevention and control of air pollution in the building ceramics industry. Through collection and analysis of three normal pollutant emission concentrations of ten available techniques (AT), to select the AAT that meet at least one pollutant of all the plants was lower than 50% of the national standard emission concentration threshold in China. Based on the experience of the European Union and the comprehensive evaluation of industry associations, research institutions, and pollution control experts, five AAT were selected. The findings will provide an essential reference for the building ceramics industry to select advanced techniques, and provide significant technical support for the revision of the ceramic industrial pollutant emission standard for and selection of pollution prevention and control techniques (PPT and PCT) for pollutant discharge permission management.

A non-linear systematic grey model for forecasting the industrial economy-energy-environment system

To estimate the internal structure and forecast dynamic trends in the industrial economy-energy-environment (3E) system, a non-linear systematic grey model (NSGM(1, m)) is proposed. This model is derived from a non-linear grey Bernoulli model (NGBM(1, 1)) and consisted of multiple non-linear equations in an embedded manner. To minimise the mean absolute percentage error (MAPE), a particle swarm optimisation (PSO) algorithm is used to optimise the parameters of the model. The empirical analysis based on a dataset of Zhejiang Province, China from 2000 to 2018 shows that the NSGM(1, m) model can identify a non-linear relationship among industrial economic growth, energy consumption, and pollutant emissions. The MAPEs of training sets of three industrial 3E systems are 2.95%, 4.90%, and 3.75%, while those of test sets are 1.36%, 6.94%, and 1.72%, respectively. From 2019 to 2023, it is predicted that, with constant industrial and economic growth, industrial energy consumption and discharge of exhaust and solid waste will continue to increase while industrial wastewater discharge will decline. Moreover, efficiency indices indicate that the economic efficiency of the industrial 3E systems in Zhejiang Province will increase.

Understanding the industrial NOx and SO2 pollutant emissions in China from sector linkage perspective

Since the most stringent-ever clean air policy was implemented in 2013 in China, main industrial air pollutant emissions have notably decreased. However, there are few studies on air pollutant emissions of industrial sectors driven by supply chain before and after implementing this policy. This paper attempts to provide a new perspective from industrial linkage to understand the emission of air pollutants. Based on Input-Output model framework, we revealed the linkages of SO2 and NOx emissions between sectors from 2012 to 2017 and the driving forces behind emission changes. Moreover, we simulated the possible impact of the key sector linkages on air pollutant emissions. Results show that the most noteworthy change during this period is that the metal melting sector has replaced the power sector, as the largest pollutant output emission sector associated with other sectors, especially the transport equipment sector. The main reason of this phenomena is that the emission intensity reduction rate of metal smelting sector (e.g., only 17% for NOx) is far less than other sectors. In the future, the development of the equipment manufacturing may put pressure on the metal smelting sector to reduce emissions. For example, when the transport equipment sector increases total output by 20% ~ 40%, the metal smelting sector will be driven to emit 0.04Mt ~0.08Mt of NOx. This paper provides a basis to quantitatively analyze the industrial sector linkages and identify the key sectors from 2012–2017, and helps decision makers better understand the impact of sector linkage on pollutant emissions.

Research on the Relationship between Pollutant Discharge Sources and Economic Development——Take the Provinces of the Country as Examples

Under the background that the issue of environmental protection has become the focus of attention of all countries, China has also put forward a series of policies for the construction of green ecology. In order to facilitate the national or central government’s macro analysis and propose macro adjustment strategies, this paper uses a multiple linear regression model to empirically analyze the relationship between industrial pollutant emissions, agricultural pollutant emissions, domestic pollutant emissions and a province’s economic development relationship. The results show that: First, industrial pollution emissions account for a large proportion of the emissions from all sources in each province, and at the same time it has a significant positive impact on the economic development of each province; Second, agricultural pollution emissions are relative to industrial pollutants In terms of emissions and domestic pollution emissions, they account for a relatively small proportion of the emissions from various sources in each province, and their positive impact on the economic development of the provinces is less than that of industrial pollutants and domestic pollution emissions; Third, Domestic pollution emissions account for the largest proportion of emissions from all sources in each province, and at the same time it has the largest positive impact on the economic development of each province. Based on the above results, this article puts forward the following recommendations: Relevant departments should resolutely eliminate outdated production capacity, resolve excess production capacity, completely close small scattered and polluting enterprises, optimize the layout of the agricultural industry, and provide institutional and financial support for agricultural equipment and related technologies. Finally, by popularizing the knowledge of energy conservation and environmental protection to the residents to cultivate their awareness of environmental protection, promote the reuse of resources, and achieve the goal of a balance between a beautiful ecological environment and a high level of economic development.

Industrial plants pollutant emissions reduction by introduction of an environmental management system

Industrial plants pollutant emissions reduction by introduction of an environmental management system

Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition

Analyzing green transformation of energy use and pollutant emissions in China’s “Three Regions and Ten Urban Agglomerations” (TRTAs) allows effectively promoting sustainable development in the country. This paper applies Data Envelopment Analysis, namely the Bounded-adjusted Measure (BAM) relying on the additive structure, to measure the technical inefficiency and productivity change across TRTAs in China. The technical inefficiency and productivity change observed for TRTAs are 0.29 and 2.29% respectively. The decomposition results indicate that industrial energy consumption, industrial sulfur dioxide (SO2), and industrial soot & dust emissions are the main variables causing TRTAs’ industrial operation inefficiency. Spatially, environmental inefficiency of the above-mentioned three variables in North China Urban Agglomeration (NA) is higher than those in Northwest, Yangtze and Pearl River Delta Urban Agglomerations (NWA, YRDA, and PRDA respectively). Decomposition of the Gini coefficient shows that the performance associated with the three variables varies among the regions with intra-regional differentiation of the PRDA being the highest. Given the regional patterns in productivity change, more efforts should be directed towards improving technical progress on industrial energy conservation in NWA. Furthermore, regulations on industrial air pollutant emissions, joint mitigation and monitoring of the key indicators in PRDA should also be emphasized.

Research on the impact of industrial agglomeration on industrial green efficiency from the perspective of big data

This paper uses the data of labor force, capital, all kinds of energy input, industrial pollutant emissions and output value of industries in 30 provinces and autonomous regions of China from 2011 to 2015, and uses big data and data envelopment analysis to calculate the industrial green efficiency of provinces and cities in China. At the same time, in order to explore the relationship between industrial agglomeration and industrial green efficiency, the panel regression model is used to conduct quantitative analysis. The results show that: whether from the national level or the eastern, central and western regions, industrial agglomeration can significantly promote the improvement of industrial green efficiency. Environmental regulation, industrial enterprise scale and other control variables can also significantly promote the improvement of industrial green efficiency in some areas, but not in some areas.

Coastal Service Industry, Industrial Structure Optimization and Environmental Governance: An Empirical Analysis Based on Chinese Coastal Cities

Wu, S.; Zhou, Y., and Yan, W., 2020. Coastal service industry, industrial structure optimization and environmental governance: An empirical analysis based on Chinese coastal cities. In: Wan, Z. (ed.), Coordinated Sustainable Development in Coastal Areas: Environment and Economy. Journal of Coastal Research, Special Issue No. 109, pp. 114–120. Coconut Creek (Florida), ISSN 0749-0208.This paper analyzes the relationship between industrial structure transformation and pollutant emission changes in 86 cities in coastal areas of China from 2013 to 2017 and proves whether the optimization of the industrial structure of the service sector can play a positive role in restraining environmental pollution. The empirical results show that when the industrial structure or economic activity structure of the city changes towards the service industry, the pollution of the whole city will be restrained and the environmental quality will be improved. It is believed that the optimization of service structure can restrain the scale of pollution, mainly because the optimization of the service industry reflects the positive effect of industrial agglomeration on environmental quality and environmental quality. The optimization of the service industry can promote the technological progress and diffusion of industrial economic activities through the agglomeration of industry, and provide the possibility for the concentration of environmental protection production technology and pollution treatment facilities. Besides, the optimization of the service industry can produce knowledge spillover between enterprises through cooperative agglomeration and improve the current situation of environmental pollution by improving the effect of technological innovation level of enterprises.

Technical inefficiency, abatement cost and substitutability of industrial water pollutants in Jiangsu Province, China

Environmental pollution, caused by industrial wastewater discharge, restricts the transformation of China’s industrial economy. In terms of its gross industrial product, Jiangsu Province has always been among the top-ranking areas of China. To ensure the green and sustainable development of Jiangsu’s industry, it is imperative to formulate specific strategies toward the reduction of industrial water pollutant emissions. First, by the parameter quadratic directional output distance function and the shadow price model, this paper estimates the technical inefficiency and marginal abatement costs of industrial chemical oxygen demand (COD) and ammonia nitrogen (NH3–N) in Jiangsu Province between 2006 and 2017. Second, spatial and temporal distributions as well as the dynamic evolution tendencies of technical inefficiency, and abatement costs of industrial COD and NH3–N are analyzed. Third, the Morishima elasticity model is utilized to measure the output substitution elasticity of industrial COD and NH3–N for Jiangsu. The results show that the technical inefficiency of industrial water pollutants in Jiangsu Province followed a decreasing trend from 2006 to 2017; moreover, significant differences were found in technical inefficiency among different regions. Over time, the regional disparity followed a polarization trend. For Jiangsu Province, the marginal abatement cost of industrial COD increased rapidly and continuously, while the marginal abatement cost of industrial NH3–N showed fluctuating and marginal growth from 2006 to 2017. The marginal abatement cost of industrial COD in southern Jiangsu exceeded that of other regions; however, the marginal abatement cost of industrial NH3–N in northern Jiangsu was highest. Additionally, the negative sign of the Morishima output elasticity for Jiangsu indicates a “trade-off” relationship between gross industrial output and industrial water pollutants. Finally, according to the empirical results, corresponding policy recommendations are proposed.