Can transportation infrastructure reduce haze pollution in China?

Traffic emission is one of the main sources of haze pollution, but few studies have evaluated the dynamic impact and mechanism of transportation infrastructure on haze pollution based on a spatial perspective. This study selects the annual data of 30 provinces in China from 2000 to 2017 and uses a dynamic spatial Durbin model to study the dynamic impact of transportation infrastructure on haze pollution. The results show that transportation infrastructure has a significant spatial spillover effect on haze pollution, and the spatial spillover effect has regional heterogeneity. Specifically, whether long term or short term, highway traffic has a boosting effect on haze pollution, while railway traffic has an inhibitory effect on haze pollution. In addition, transportation infrastructure can affect haze pollution through three paths: expanding economic scale, promoting transformation of industrial structure, and promoting technological progress. At the regional level, the improvement of highway traffic density in eastern, central, and western regions will significantly increase haze pollution. The enhancement of railway traffic density has a significant inhibitory and boosting effect on haze pollution in central and western regions, respectively. For the eastern region, railway traffic construction can only restrain local haze pollution, but cannot exert the spatial spillover effect of railway traffic to reduce haze. The conclusions of this paper provide policy inspirations for giving full play to the haze reduction effect of transportation infrastructure and the development of green transportation.

     

Foreign direct investment,environmental regulation,and environmental pollution: an empirical study based on threshold effects for different Chinese regions

On the basis of previous studies on the relations among foreign direct investment (FDI), environmental regulation, and environmental pollution, this work uses provincial panel data from 2000 to 2014 to study the effects of FDI and environmental regulation on environmental pollution by applying the panel-corrected standard error (PCSE) method. This paper then utilizes environmental regulation as the threshold variable to estimate the threshold effects of environmental regulation on FDI’s influence on environmental pollution in a threshold regression model for the eastern, central, and western regions of China. The results show that stricter environmental regulation can substantially reduce the pollution in each region. FDI can decrease environmental pollution in the eastern and central regions, but it can increase pollution in the western region. There are double-threshold effects of environmental regulation on the effects of FDI on environmental pollution in each region. When the environmental regulation level is between the first threshold and the second threshold, FDI can decrease environmental pollution much more in the eastern and central regions and increase environmental pollution much less in the western region.

     

Industrial digitization and synergy between pollution and carbon emissions control: new empirical evidence from China

Industrial digital transformation is a key engine to help developing countries reduce pollution and carbon emissions. We used the composite system synergy model (CSSM) and modified entropy weight method to measure the degree of synergy between pollution and carbon emissions control (SPCEC) and the level of industrial digitization in each province and city based on the Chinese inter-provincial panel data from 2011 to 2020. We then used the two-way fixed effects and panel quantile regression models to test the heterogeneous influence of industrial digitization on the SPCEC. We found that: (1) industrial digitization had a positive contribution to the SPCEC. (2) Digitization of industry contributes more to the SPCEC level than the digitization of agriculture and services. (3) The promotion of SPCEC by industrial digitization is significant in the western region, but not in the eastern, central and northeastern regions. (4) In provinces and municipalities with lower level of SPCEC, the contribution of industrial digitization to the SPCEC is higher. This paper reveals the impact of industrial digitization on the SPCEC and can provide a policy reference for the realization of the SPCEC from the perspective of the integration of industry and digitization.

     

Promoting green economy efficiency through fiscal decentralization and environmental regulation

The paper selects the data of 30 regions in China from 2008 to 2020 as the basis to construct a theoretical analysis framework between fiscal decentralization, environmental regulation, and green economy efficiency (GEE). For empirical analysis, the study adopts super-slacks-based measure (SBM) method to measure GEE, and Tobit model is adopted to study the relationships between key constructs under investigation. The key findings of the study are as follows: (1) GEE level is at the upper middle level, and the green economic efficiency varies greatly among regions. The GEE value of the eastern region is the highest and lowest in the west, and the central region is in between. (2) From a national perspective, fiscal decentralization, environmental regulation, per capita gross domestic product (GDP), and urbanization all have a significant negative coefficient on the national GEE, inhibiting local GEE improvement. Foreign direct investment impact on GEE is not significant, but green credit has a significant positive coefficient. (3) From a regional perspective, the effects of fiscal decentralization on the green economic efficiency of western region were not significant, but the sign of coefficient found to be negative. However, in the other two regions, fiscal decentralization has a significant positive impact on GEE. Moreover, environmental regulation impact on GEE is positive in eastern region and negative in western part, and not significant in the central region; economic development can promote GEE in the central region and negative in west, but not significant in eastern region. Foreign direct investment (FDI) shows no significant impact in the eastern region but exists a significant negative impact in the other two regions. Finally, green credit has no significant impact in the central region but exists significant positive effect in the other two regions. This paper studies the green economic efficiency of undesired output, which is of great significance to my country’s future green development and the formulation of environmental regulation policies.

     

Evaluating China’s regional energy and environmental efficiency by considering three internal parallel industries

With the rapid development of China’s economy, high energy consumption and high pollution emission have become serious problems. To solve these problems, many studies have been done to evaluate energy and environmental efficiency, as the results can provide valuable information to improve performance. However, the previous research mainly evaluates China’s regional energy and environmental efficiency by considering each region’s industry as a whole system, ignoring the internal structure. In reality, each region mainly includes three parallel types of industry: primary, secondary, and tertiary. Therefore, this paper provides a parallel data envelopment analysis (DEA) approach to evaluate China’s regional energy and environment efficiency by considering these parallel industrial systems. The following findings can be obtained based on the empirical results: (1) the overall energy efficiency of China is low, and the inefficiency of the economic system is mainly sourced from the lower energy and environmental performance of the primary industry and the tertiary industry. (2) the introduction of the environmental variable (CO₂) leads to the increase of some backward areas’ efficiencies. (3) the energy efficiency of each provincial region is different, and most of them have their own inefficient industries. (4) the total factor productivity of China is declining, mainly because of the decline of technical efficiency.

     

Spatiotemporal differentiation and the obstacle factors influencing the coupling coordination between economic development and water pollution control capability in the Yangtze River Economic Belt

The Yangtze River Economic Belt (YREB) is a highly influential economic belt and an innovative demonstration belt for the protection and restoration of ecological and environmental systems. The dynamic coordination between economic development system (EDs) and water pollution control capability system (WPCCs) is a critical issue to be solved for regional sustainable development. However, this topic has not been adequately addressed in previous studies. To bridge this gap, this paper analyzed the spatiotemporal differentiation and obstacle factors influencing the coupling coordination between EDs and WPCCs in the Chinese Five-Year Plan based on coupling coordination degree model and obstacle degree model. The main results suggest that (1) the comprehensive level of the comprehensive level of water pollution control capability presents an upward trend with the increase of economic development. A J-shaped relationship existed between the EDs and WPCCs. (2) The regions with rapid economic growth are mainly distributed in the Shanghai, Zhejiang, Jiangsu, Chongqing, and Sichuan. Moreover, water pollution control capability system shows this pattern, eastern regions?>?western regions?>?central regions. (3) The coupling coordination level of each region in the YREB has improved from a moderately unbalanced development level to a superiorly balanced development level from 2006 to 2019. (4) Per capita gross domestic product, gross product of tertiary industry, total volume of waste water treated, and per daily volume treated of sewage treatment facilities are the major indexes influencing the coordinated development of the EDs and WPCCs. These findings are conductive to formulating reasonable strategies for water environment protection and sustainable development and providing a direction for urban planning.

     

Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China

As the digital economy develops rapidly and the network information technology advances, new development models represented by the network economy have emerged, which have a crucial impact on green economic growth. However, the relevant previous studies lacked the role of analyzing the direct and indirect effects of internet development on green economic growth at the prefecture-level city level. For this purpose, this paper aims to examine the intrinsic mechanism of the impact of internet development on green economic growth and provide empirical support for cities and regions in China to increase internet construction. Furthermore, the mixed model (EBM), which includes both radial and non-radial distance functions, is applied to calculate the green economic growth index. Fixed effect model and mediation effect model are also employed to test influence mechanisms of the internet development on green economic growth using panel data of 269 prefecture-level cities in China from 2004 to 2019. The statistical results reveal that internet development has contributed significantly to green economic growth. When the internet development level increases by 1 unit, the green economic growth level increases by an average of 5.0372 units. However, regional heterogeneity is evident between internet development and green economic growth, that is, the promoting effect of internet development on green economic growth is gradually enhanced from the eastern region to the western region. We also find that internet development guides industrial structure upgrading improves environmental quality and accelerates enterprise innovation, which indirectly contributes to green economic growth. And internet development mainly achieves green economic growth through enterprise innovation. Based on the above findings, we concluded that policymakers should not only strengthen the guiding role of social actors to promote the stable development of the internet industry, but also foster the construction of the three models of “internet+industry integration,” “internet+environmental governance,” and “internet+enterprise innovation” to promote green economic growth.

     

China’s industrial gray water footprint assessment and implications for investment in industrial wastewater treatment

Industrial wastewater is the largest contributor of toxic pollutants and third-largest contributor of nutrients to bodies of water in China, and understanding the characteristics of such pollution is important for water pollution control. In this study, the industrial gray water footprint (GWF) of each industry sector in China’s 31 provinces in 2015 was calculated to identify the pollution characteristics of industrial wastewater discharge and determine how to efficiently allocate investment to pollution reduction. We show that the total industrial GWF of China was 300 billion m³ in 2015 and that the major pollutants were petroleum pollutant (PP), ammonia nitrogen (NH₃-N), volatile phenol (VP), and chemical oxygen demand (COD). The water pollution level (WPL) was higher than 1 in Ningxia, Shanxi, Hebei, Tianjin, Shanghai, Henan, and Shandong, indicating that industrial pollution exceeded the carrying capacity of local water bodies in these seven regions. Given equivalent total investment, a scenario that takes the total reduction of the industrial GWF weighted by the WPL in each region as the investment target can better allocate funds to control industrial wastewater pollution in regions with high WPLs relative to a scenario in which investment targets the reduction of the unweighted total industrial GWF. For further industrial GWF reduction in regions with high WPLs, it is crucial to adjust the industrial structure and to upgrade relevant technologies.

     

Role of Chinese wind-blown dust in enhancing environmental pollution in Metropolitan Seoul

A suite of rock magnetic experiments and intensive microscopic observations were carried out on Asian dust deposits in Seoul, Korea, collected on 19 and 23 March 2002, 9 April 2002 and 12 April 2003. Desert-sand and loess from the dust source regions in China were also analyzed as a comparison. Asian dust showed a higher magnetic concentration than the source region samples, indicating a significant influx of magnetic particles into Asian dust had occurred during its transportation. Electron microscopy identified carbon-bearing iron-oxides as the added material. These iron-oxides were likely to have been produced by anthropogenic pollution (fossil fuel combustion) while the wind-blown dusts passing across the industrial areas of eastern China and western Korea. Such wind-paths were confirmed by a simulation of the air-mass trajectories. The magnetic technique appears to be useful for determining the anthropogenic pollution of Asian dust.     

城市产业水污染控制优化研究——以株洲市为例

针对城市产业水污染状况，应用产业结构和工业行业结构优化模型，试图找出城市产业结构调整方法。研究以株洲市为例，根据株洲市产业结构和行业结构特点对模型进行改进和最优化计算。计算结果表明，产业和行业生产用水的调整可以减少废水排放量和实现经济增长。在此基础上，提出了株洲市产业和行业凋整方案，以期实现城市经济发展与环境保护协调发雇。     

城市产业水污染控制优化研究--以株洲市为例

针对城市产业水污染状况,应用产业结构和工业行业结构优化模型,试图找出城市产业结构调整方法.研究以株洲市为例,根据株洲市产业结构和行业结构特点对模型进行改进和最优化计算.计算结果表明,产业和行业生产用水的调整可以减少废水排放量和实现经济增长.在此基础上,提出了株洲市产业和行业调整方案,以期实现城市经济发展与环境保护协调发展.     

内蒙古煤矿环境地质问题及其防治对策研究

煤炭是内蒙古最具优势的矿产资源 ,其产值几乎占到该区工业产值的一半。由于历史及政策等因素的影响 ,煤矿开发破坏矿区环境资源、诱发地质灾害和导致环境污染。不同地域矿山开发诱发的环境地质问题不同 ,露天和地下不同的开采方式诱发不同的环境地质问题。国有大中型老矿区地面塌陷问题较为严重 ,成为制约矿山持续发展的主要因素之一。乡镇及个体小煤矿“只开发 ,不治理”加剧了矿山地质环境的恶化。在西部大开发中 ,要吸取“先开发 ,后治理”的历史教训 ,走资源合理开发利用与矿区生态环境保护的绿色矿业之路     

Does the construction of network infrastructure reduce environmental pollution?—evidence from a quasi-natural experiment in “Broadband China”

This paper discusses the effect of network infrastructure on environmental pollution reduction and the realization mechanism behind it. Based on the panel data of 285 cities in China from 2005 to 2019, this study regards the “Broadband China” pilot policy as a quasi-natural experiment to clarify the pollution emission reduction effect of network infrastructure construction through differences-in-differences method and other methods. The research results show the following: (1) The Broadband China pilot policy has reduced environmental pollution, that is, the construction of network infrastructure has the effect of environmental pollution reduction. The conclusion is still established after a series of robustness tests such as parallel trend test, placebo test, and instrumental variable method. Through the heterogeneity test, it is found that the pollution reduction effect of network infrastructure construction is more obvious in non-resource-based cities, first and second tier cities, and cities in the eastern region (2). The construction of network infrastructure plays a restraining role on local environmental pollution. Due to the insufficient level of regional linkage and the siphon effect of pilot cities, the spatial spillover characteristics of the pollution reduction effect are not obvious (3). The mechanism of action shows that green innovation is an important mediating effect mechanism for network infrastructure construction to reduce environmental pollution. Cities in regions with high degree of marketization and environmental regulation can strengthen the effect of network infrastructure construction on environmental pollution reduction. The research conclusions are conducive to accelerating the development of the digital economy represented by the construction of network infrastructure and provide a useful reference for promoting the level of environmental pollution reduction and achieving high-quality development.

     

Air Pollution Emissions from Increased Industrial Coal Use in the Northeastern United States

Evaluating the air pollution impacts of energy use in the industrial sector is difficult because of the diversity and multiplicity of sources and a general lack of systematic, up-to-date data collection mechanisms. Fuel-specific energy consumption for a multi-state region is provided by the U.S. Department of Energy PIES model for a base year (1975), together with scenarios for future years. A computer model developed in this study—the Sub-regional Energy and Emissions Model (SEEM)—is applied to disaggregate the regional industrial figures to the county level according to fuel type and industrial category at the two-digit SIC level. The resulting emissions of total suspended particulates (TSP) and sulfur dioxide (SO₂) for all industrial categories are estimated at the county level by Incorporating county-specific air pollution regulations in SEEM, and are then aggregated to larger geographical regions. The model has been applied to evaluate the increased air pollution impacts of industrial energy use in the northeastern United States for two alternative 1990 scenarios: (1) the midrange/trendlong PIES projections, and (2) a Coal Replacement Scenario, which assumes a higher percentage of fuel burned in new boilers will be coal. The results are discussed in terms of implications for air pollution control policy.     

Cadmium (Cd) distribution and contamination in Chinese paddy soils on national scale

Rice is a staple food by an increasing number of people in China. As more issues have arisen in China due to rice contaminated by cadmium (Cd), Cd contamination in arable soils has become a severe problem. In China, many studies have examined Cd contamination in arable soils on a national scale, but little studies have focused on the distribution of Cd in paddy fields. This study explored the spatial pattern of Cd in paddy soils in China, made a preliminary evaluation of the potential risk, and identified the most critically contaminated regions based on the domestic rough rice trade flow. The results showed that Cd concentrations in paddy soils in China ranged from 0.01 to 5.50 mg/kg, with a median value of 0.23 mg/kg. On average, the highest Cd concentrations were in Hunan (0.73 mg/kg), Guangxi (0.70 mg/kg), and Sichuan (0.46 mg/kg) provinces. Cd concentrations in paddy soils in central and western regions were higher than those in eastern regions, especially the southeastern coastal regions. Of the administrative regions, Cd standard exceedance rate was 33.2 %, and the heavy pollution rate was 8.6 %. Regarding to Cd of paddy soil, soil environmental quality was better in Northeast China Plain than in Yangtze River Basin and southeastern coastal region. Mining activities were the main anthropogenic pollution source of Cd in Chinese paddy soil. Based on rice trade, more of the Chinese population would be exposed to Cd through intake of rice produced in Hunan province. Certain regions that output rice, especially Hunan province, should be given priority in the management and control of Cd contamination in paddy soil.     

Nitrogen fertilization, soil nitrate accumulation, and policy recommendations in several agricultural regions of China

Excessive nitrogen (N) fertilization and decreasing N recovery rates by crops have caused dramatic increases in non-point source pollution from agriculture in China. The rate of N fertilization across the country varies widely among regions and crops, depending on the stage of economic development. For example, N application rates in the eastern regions and on cash crops are far higher than in western regions of the country and on cereal crops. Moreover, N application rates in wealthier regions are higher than recommended by the Chinese Academy of Sciences. To successfully achieve environmental protection as well as high crop yields, China must formulate relevant agricultural policies to encourage farmers in economically developed areas to reduce their N fertilization rate while also issuing conventional fertilization recommendations for small-scale farming systems and the expanding cultivation of cash crops.     

Spatiotemporal coupling measurement of industrial wastewater discharge and industrial economy in China

With the industrial-level panel data on total output and wastewater discharge over the period of 1997 to 2018, this paper employs GIS and ESDA methods to empirically investigate the spatial relationship between industrial total output and wastewater discharge. In this paper, we empirically examine whether and how industrial wastewater discharge in a particular province may affect the wastewater discharge in its neighboring provinces. Results suggest that provinces (municipalities) with large-scale industrial sewage discharge are located along riversides and coastal areas and these discharges then gradually distribute to coastal, central, and western areas. Results also show a strong spatial autocorrelation of industrial wastewater discharge between the observed local province and its neighboring provinces which is increasing over time. In addition, there is also a significant spatial spillover effect of industrial wastewater discharge among neighboring provinces in China’s eastern and central regions, indicating a structural convergence of high-pollution industries.

     

上海市霾污染判别指标体系初步研究

随着全球变暖及工业污染排放的蔓延式发展,由空气污染带来的区域能见度恶化越来越成为中国东部经济发达地区所面临的严重区域性问题,常出现大范围的雾霾天气,造成区域空气质量的恶化及能见度水平的下降.基于对能见度及相对湿度、颗粒物浓度和组分的观测分析及影响能见度的相对湿度和空气污染因子的理论分析,提出了环保范畴内的霾污染概念,并制定了包括能见度、颗粒物浓度及其组分的上海市霾污染判别指标体系,基于颗粒物组分观测数据,对相对湿度因子进行了参数化.根据所提出的指标体系,通过上海市某点位一年观测数据的跟踪分析发现,根据霾污染判别指标体系计算得到的霾污染天数与气象学意义上的霾天数具有很好的对应关系,且新的判别指标体系能很好地区分霾污染和浮尘过程.     

Sediment evidence of early eutrophication and heavy metal pollution of Lake Mälaren, central Sweden

Lake M?laren is the water supply and recreation area for more than 1 million people in central Sweden and subject to considerable environmental concern. To establish background data for assessments of contemporary levels of trophy and heavy metal pollution, sediment cores from the lake were analyzed. Diatom-inferred lake-water phosphorus concentrations suggest that pre-20th century nutrient levels in S?dra Bj?rkfj?rden, a basin in the eastern part of M?laren, were higher (c. 10-20 micrograms TP L-1) than previously assumed (c. 6 micrograms TP L-1). Stable lead isotope and lead concentration analyses from 3 basins (S. Bj?rkfj?rden, Gisselfj?rden and Ask?fj?rden) show that the lake was polluted in the 19th century and earlier from extensive metal production and processing in the catchment, particularly in the Bergslagen region. The lake has experienced a substantial improvement of the lead pollution situation in the 20th century following closure of the mining and metal industry. The lead pollution from the old mining industry was large compared to late-20th century pollution from car emissions, burning of fossil fuels and modern industries.     

“Green” economic development in China: quantile regression evidence from the Yangtze River Economic Belt

As China’s economy began transitioning from one focused on high-speed growth to one focusing on high-quality development, sustainable green development has become the main goal pursued by the government. This study empirically measures the marginal impact of per capita GDP, technological innovation level, industrial structure, openness, fiscal decentralization, and urbanization level on per capita wastewater discharge in 11 provinces (cities) along the Yangtze River Economic Belt (YREB) from 2008 to 2018 using a quantile model. The key findings were as follows: (1) factors such as the per capita GDP, industrial structure, foreign direct investment, and urbanization in the YREB significantly increased water resource pollution; (2) the quantile model regression results showed that the relationship between economic growth and ecological pollution followed the so-called environmental Kuznets inverted U-curve. Wastewater discharge per capita was low in areas with low per capita GDP, meaning that the ecological environment in these areas was more fragile and that the environmental pollution costs due to economic growth were therefore relatively much higher in these areas; (3) fiscal decentralization significantly reduced water resource pollution in relatively developed areas although the effects in the relatively developing areas were not significant; and (4) the effects of technological innovation on reducing water resource pollution in the YREB were positive but not very significant. The results also confirmed that traditional patterns of economic growth increased water pollution in the YREB. For this reason, the government needs to urgently improve policies—for example, upgrading economic structures, preventing over-urbanization, speeding up technological innovation, introducing environmentally friendly foreign investment, and providing more rewards to best practitioners of environmental governance—that is conducive to the achievement of green ecological development.