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Relocating pollution-intensive factories is one of the most effective measures to meet mandatory environmental regulations in developed cities while simultaneously imposing environmental pressure on the receiving cities. Existing studies often assume that relocated plants produce the same or higher emissions when relocated. However, the current pollution mitigation policies enforce even higher emission standards in the destination after plant relocation. We employ a bottom-up pollution accounting approach to assess the impact of intraregional or interregional relocation of iron and steel plants in China's Beijing-Tianjin-Hebei (BTH) area on various air pollutants; specifically, seven policy scenarios are modeled, based on stringency, implementation scope, and production technologies. We find that relocation combined with emission standards enforcement and shifts from BOF (basic oxygen furnace) to EAF (electric arc furnace) production technology may significantly reduce emissions within and outside BTH areas by as much as 28.8% compared to business as usual. The observed reduction is mainly due to the requirement of meeting ultralow emission standards directly or indirectly after relocation. Both origin and destination cities benefit from the relocation, with limited emission spillovers (+9.1%) for destinations outside BTH and even a net reduction (9.4%) in Tangshan. We conclude that combining factory relocation with stricter emission standards and production technological innovation could circumvent the Pollution Haven Hypothesis and deliver win-win air pollution reduction benefits for both origins and destinations.

Trade among regions or countries not only allows the exchange of goods and services but also leads to the transfer of pollution. The unequal exchange of goods and services and associated value added and pollution may be subject to environmental inequality in China given that Chinese provinces are in different development stages. By using the latest multiregional input-output tables and the sectoral air pollutant emission inventory in 2012, we traced emissions and value added along China's domestic supply chains. Here, we show that 62%-76% of the consumption-based air-pollutant emissions of richer regions (Beijing-Tianjin, East Coast and South Coast) were outsourced to other regions; however, approximately 70% of the value added triggered by these region's final consumption was retained within the region. Some provinces in western China, such as Guizhou, Ningxia, and Yunnan, not only incurred net pollution inflows but also suffered a negative balance of value added when trading with rich provinces. Addressing such inequalities could provide not only a basis for determining each province's responsibility for pollution control but also a model for other emerging economies.

As the world's factory, China has enjoyed huge economic benefits from international export but also suffered severe environmental consequences. Most studies investigating unequal environmental exchange associated with trade took China as a homogeneous entity ignoring considerable inequality and outsourcing of pollution within China. This paper traces the regional mismatch of export-induced economic benefits and environmental costs along national supply chains by using the latest multiregional input-output model and emission inventory for 2012. The results indicate that approximately 56% of the national GDP induced by exports has been received by developed coastal regions, while about 72% of air pollution embodied in national exports, measured as aggregated atmospheric pollutant equivalents (APE), has been mainly incurred by less developed central and western regions. For each yuan of export-induced GDP, developed regions only incurred 0.4-0.6 g APE emissions, whereas less developed regions from western or central China had to suffer 4-8 times the amount of emissions. This is due to poorer regions providing lower value added and higher emission-intensive inputs and having lower environmental standards and less efficient technologies. Our results may pave a way to mitigate the unequal relationship between developed and less developed regions from the perspective of environment-economy nexus.

• An empirical investigation into the impacts of air pollution on child growth. • Air pollution hampers child growth, leading to stunting, underweight, wasting. • Older children and girls are disproportionately affected. Despite extensive research on the detrimental effects of air pollution on health, limited focus has been directed toward the impact of air pollution on child growth. Utilizing comprehensive data spanning 2759 Chinese counties from 2000 to 2018, this study pioneers an empirical investigation of the causal link between air pollution and child growth. The findings reveal a significant correlation between air pollution and child growth; as air pollution worsens, child growth suffers, evident in stunting, underweight, wasting, and severe wasting. More specifically, the effects of PM 2.5 on stunting, underweight, and severe wasting can persist for up to six years, while its impact on wasting endures for three years. Vulnerable groups include older children, girls, and less-developed geographical regions. Environmental regulations like "Low-Carbon Cities" and "Air Pollution Prevention and Control Action Plan" have yielded positive growth outcomes. Mechanistically, PM 2.5 impairs child growth via metabolic disruption and financial constraints. Collectively, this study offers empirical evidence of the adverse impacts of air pollution on child growth while proposing suggests strategies for addressing this challenge in developing countries. [ABSTRACT FROM AUTHOR]

Although research has shown that countries' world-systems positions can predict levels of pollution and wealth, there has been little research looking at how consumption in the core triggers both pollution and wealth elsewhere in the world economy. In this article, we track how consumption in the United States, a core country, triggers value added and pollution throughout global commodity chains. We track these distributions for all commodities and services consumed in the United States, then for six commodity groupings, and finally for two case studies, “Motor Vehicles” and “Wearing Apparel.” Our findings show how the production of commodities for US consumption tends to reify inequalities in the world-system: Larger shares of value added (in comparison to shares of pollution) are generally prompted within the core, whereas the opposite effect tends to be experienced in the non-core. We also discuss interesting exceptions to these general trends occurring at different levels of analysis. Finally, we draw special attention to China, the elephant in the room that exhibits both core and peripheral characteristics. [ABSTRACT FROM PUBLISHER]

In a globalized economy, production of goods can be disrupted by trade disputes. Yet the resulting impacts on carbon dioxide emissions and ambient particulate matter (PM2.5) related premature mortality are unclear. Here we show that in contrast to a free trade world, with the emission intensity in each sector unchanged, an extremely anti-trade scenario with current tariffs plus an additional 25% tariff on each traded product would reduce the global export volume by 32.5%, gross domestic product by 9.0%, carbon dioxide by 6.3%, and PM2.5-related mortality by 4.1%. The respective impacts would be substantial for the United States, Western Europe and China. A freer trade scenario would increase global carbon dioxide emission and air pollution due to higher levels of production, especially in developing regions with relatively high emission intensities. Global collaborative actions to reduce emission intensities in developing regions could help achieve an economic-environmental win-win state through globalization. Carbon dioxide emissions and air pollution are often assessed on a national or regional level, but little is known about the role of trade structures. Here, a combination of models shows that trade restrictions can lead to massive reduction of gross domestic product in most countries, but also to a reduction of emissions and pollution. [ABSTRACT FROM AUTHOR]

Air pollution has become an emerging environmental issue in developing countries like China in the last two decades. Sulphur dioxide (SO 2 ) is one of the major air pollutants that poses significant risks in many areas undergoing a process of industrialization such as Beijing. Realizing the main factor causing environmental quality changes is the key to solving this problem. By using an extended version of IPAT model, this paper aims to identify the main contributors of air pollution in Beijing from 1989 to 2012. The result shows that the most influential factors affecting air pollution in Beijing are affluence and emission intensity. From analyzing the historical background, we conclude that the air pollution change in Beijing is heavily policy-driven. [ABSTRACT FROM AUTHOR]

In order to combat environmental pollution, China enacted the Environmental Protection Tax Law in early 2018. Yet the impacts of the environmental tax on individual regions with different socioeconomic statuses, which are crucial for social justice and public acceptance, remain unclear. Based on a Multi-Regional Input-Output (MRIO) table and a nationally regulated tax payment calculation method, this study analyzes the distributional impacts of an environmental tax based upon province's consumption from both inter-provincial and rural-urban aspects. The national tax revenue based on the current levy mechanism is estimated to be only one seventh of the economic loss from premature mortality caused by ambient particulate matter (PM 2.5). The taxation may slightly alleviate urban-rural inequality but may not be helpful with reducing inter-provincial inequality. We further analyze two alternative levy mechanisms. If each province imposes taxes to products it consumes (rather than produces, as in the current mechanism), with the tax rate linearly dependent on its per capita consumption expenditure, this would moderately increase the national tax revenue and significantly reduce inter-provincial inequality. To better compensate for the economic costs of air pollution and reduce regional inequality, it would be beneficial to increase the tax rate nationwide and implement a levy mechanism based on provincially differentiated levels of consumption and economic status. [ABSTRACT FROM AUTHOR]

Air pollution presents a serious public health risk globally, particularly in fast industrializing countries such as China. Effectiveness of local air pollution control measures is influenced by external forces such as atmospheric emission transport and interprovincial trade. However, there is lack of research on comparison of these two indicators and local indicators (e.g. per capita income and emissions) determines the responsibility allocation in pollution control. In this paper, cross-provincial air pollution is stimulated via atmospheric transport (atmospheric linkage indicator) based on Weather Research and Forecasting/Comprehensive Air Quality Model with Extensions (WRF/CAMx) model. The air pollutants embodied in interprovincial trade (trade linkage indicator) was studied by using the latest multi-regional input-output (MRIO) model. This study revealed the significant influence of atmospheric transport on neighboring provinces. However, transport of trade-induced embodied emissions affects both neighboring areas and larger areas. According to aggregation analysis of these two indicators, in most provinces of China, direction of atmospheric transport contradicts to that of the trade-induced transport. These findings are used to analyze the rationality of regional differences in environmental tax rate in the new environmental protection tax law of China. By comparing the local and interregional linkage indicators, we found the current environment tax for air pollutants was mainly affected by per capita income whereas other environment and linkage indicators show little correlation. Therefore, we integrated environment and linkage indicators to propose adjusted provincial environment tax rates plan for air pollutants as a cost sharing mechanism. The results of this paper provide novel perspective for central government to adjust fairness environmental responsibility between provinces of China by tax policy. Image 1 • Cross-provincial air pollution via atmospheric transport was simulated by WRF/CAMx. • Interprovincial air pollution embodied in trade was traced using MRIO model. • The influence range via trade is greater than that of atmospheric transport. • The environmental tax rate is advised to be adjusted base on linkage indicators. [ABSTRACT FROM AUTHOR]

Abstract There exist substantial differences in top-of-atmosphere direct radiative forcing of aerosols due to a region's economic production (RF p) and consumption (RF c), in the context of economic globalization, trade and globalizing air pollution. Yet an explicit systematic analysis of all socioeconomic and atmospheric factors determining the RF difference is lacking. Here, we evaluate five socioeconomic (population, per capita output, emission intensity) and atmospheric (chemical efficiency and radiative efficiency) factors that determine a region's RF p , RF c and their difference. We consider the RF of secondary inorganic aerosols, primary organic aerosols and black carbon by 10 regions worldwide in 2007. The population size varies by a factor of nine across the regions, and per capita output by 40 times from both production- and consumption-based perspectives. The cross-regional spread reaches a factor of 181 (species dependent) for production-based emission intensity and a factor of 96 for consumption-based intensity. From one region to another, production-based chemical efficiency changes within a factor of 5 and consumption-based efficiency within a factor of 3.5. Radiative efficiency varies slightly across the regions (within 2) from both production- and consumption-based perspectives. Although socioeconomic factors are often a greater driver for the difference between a source region's RF p and RF c , the atmospheric factors are also important for many source regions and species. Our results contribute to regional attribution of climate change and establishment of effective international collaborative mitigation strategies. Highlights • Multiple factors differentiate a region's aerosol RF c from its RF p. • Socioeconomic factors usually play a greater role for most regions and species. • Atmospheric factors are also important for some regions and species. • Our study is relevant to regional attribution of aerosol radiative forcing. [ABSTRACT FROM AUTHOR]

The frequent occurrence of extreme haze episodes in China in recent years has triggered the Chinese government to take action to tackle the serious air quality problems. Fine particulate matter (PM 2.5 ) accounts for much of China's poor air quality; given the health risks associated with such pollution, the spatiotemporal characteristics of urban PM 2.5 concentrations constitute a matter of significant interest within the Chinese research and policy communities. Using the first long-term datasets available in relation to PM 2.5 levels, obtained from a year-long monitoring program of concentrations utilizing 945 monitoring stations in 190 cities in China in 2014, we found significant differences in PM 2.5 concentrations among cities, ranging between 18.7 and 131.4 μg/m 3 , with an average of at 61 ± 20 μg/m 3 ; only 18 (or 9.5%) of the 190 monitored cities could meet the National Ambient Air Quality Standards of China. PM 2.5 concentrations are generally highest in the cities east of the Hu Line and north of the Yangtze River due to high PM emissions from transport and coal combustion and unfavorable atmospheric conditions. We also observed marked seasonal variations in concentration levels, with the highest levels occurring during winter and the lowest in summer. By grouping Chinese cities according to their size, our econometric analysis shows a positive correlation between PM 2.5 concentrations and the size of the urban area, urban population, share of secondary industry and population density, and a first increasing and then decreasing relationship between GDP per capita and PM 2.5 concentration. Urban expansion and structural economic change has thus contributed to an increase in urban PM 2.5 emissions. Without careful planning, continuing urbanization will precipitate further severe air pollution causing significant health risks. [ABSTRACT FROM AUTHOR]

While urbanization has boosted the global economy, it is putting increasing pressure on air quality. Previous studies on the link between urbanization and air pollution have tended to focus on individual aspects of urbanization. In addition, research into the global scale has been scarce. This study constructed an urbanization index system integrating demographic, spatial, economic, and social components and divided 190 countries into 4 subpanels according to the national income levels, in order to identify the heterogeneity effects of urbanization on PM 2.5 pollutants for the period 1998–2014 from a global perspective. The results of the panel regression models prove that the effect of urbanization on atmospheric contamination varied significantly across the income-based subpanels. The model analysis shows that demographic urbanization has a significant positive effect on PM 2.5 concentrations in all subpanels. Spatial urbanization had exerted a negative effect on air pollution in high-income countries and a positive influence on air pollution in other countries. Social urbanization, in contrast, presented the opposite trend. Additionally, the model analysis shows that the economic urbanization in upper-middle-income and high-income groups can effectively alleviate PM 2.5 pollutants. This study indicated that the level of development needs to be taken into account when government policy makers formulate targeted measures to control haze and improve air quality. • The impacts of urbanization on PM 2.5 concentrations were investigated globally. • Urbanization index was established from demographic, spatial, economic and social aspects. • Panel data of 190 countries were divided into four subsamples based on income levels. • The impact of urbanization on PM 2.5 varies in different income countries. • Governments cannot ignore the development stage when improving air quality. [ABSTRACT FROM AUTHOR]