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1

Asghari, Maryam. "Pollution Haven Effect and Water Quality." International Academic Journal of Economics 06, no. 01 (2019): 91–109. http://dx.doi.org/10.9756/iaje/v6i1/1910007.

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2

Li, Yunrong. "The Effect of Air Pollution on Fertility Intentions." Problemy Ekorozwoju 16, no. 1 (2021): 165–70. http://dx.doi.org/10.35784/pe.2021.1.17.

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Together with fast economic growths in recent decades and subsequent environmental pollutions, fertility rates have declined dramatically in China. Considering fertility intention is an essential predictor for fertility rate, we examine the effect of air pollution on fertility intentions in China. Using data from the China General Social Survey (CGSS) collected in 2010 and 2013, we find a negative and significant impact of air pollution on people’s fertility intentions. More importantly, after we restrict the sample to people who have been living in current places for a long period of time, the estimated effect of air pollution decreases but remains significant, indicating existence of endogeneity of air pollution on fertility intentions. For the government to take measures to raise fertility rates in China, it is important to take into account the factor of air pollution.
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3

Zhang, Zhonghao, Tiantian Nie, Yingtao Wu, Jiahui Ling, and Danhuang Huang. "The Temporal and Spatial Distributions and Influencing Factors of Transboundary Pollution in China." International Journal of Environmental Research and Public Health 19, no. 8 (2022): 4643. http://dx.doi.org/10.3390/ijerph19084643.

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Transboundary pollution between neighboring regions seriously affects the efficiency of overall environmental governance; however, there are few studies focused on how to estimate the degree of transboundary pollution between different regions. With China as a case study, this article developed a new measurement to estimate the degree of transboundary pollution among regions, and comprehensively investigated the influencing factors of transboundary pollution in China between 2000 and 2013. The results indicate that transboundary pollution effects exist in China. In ascending order, the regions most affected overall by transboundary pollution from polluting enterprises were as follows: eastern region < central region < western region. The reduction in transboundary pollution effects was most prominent for severely polluting enterprises in the eastern and western regions and lightly polluting enterprises in the central region. An analysis of the influencing factors reveals that the regional environmental regulation intensity has a negative feedback effect on the transboundary pollution effects. These findings indicate that polluting enterprises in regions with a low environmental regulation intensity are more inclined to operate in border areas to obtain both the environmental benefits associated with the low local environmental regulation intensity and the market economy benefits associated with neighboring urban regions, thereby aggravating environmental pollution in border areas.
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4

Dong, Ke. "Interprovincial Space Effect Analysis of China's Atmospheric Environment Quality." Advanced Materials Research 838-841 (November 2013): 2596–605. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2596.

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Through an analysis about the atmospheric environment SO2space effect of China from 2000 to 2011, this article puts forward that the atmospheric pollution in China is influenced by per capital GDP and industrial structure to a large extent. Meanwhile, environmental efficiency factors which should restrict atmospheric environmental pollution have positive spillover effect to environmental pollution to surrounding area, which indicates that the environmental pollution treatment in China in current stage is only transition of the pollution in a disguised form. In some regions, industries are moved to less developed areas around in order to enhance their environmental compliance, so polluting industries cannot be moved out like those in developed regions and the environment is difficult to improve.
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5

Yang, Zian. "Environmental Pollution And Effect on Human Health And The Living of Creatures." Highlights in Science, Engineering and Technology 59 (July 15, 2023): 123–28. http://dx.doi.org/10.54097/hset.v59i.10070.

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Pollution takes many different forms from the atmosphere to the oceans pollution is everywhere and is a global problem. Natural pollution is mainly divided into air pollution, water pollution and land pollution. Air pollution is mainly caused by small particles emitted from large amounts of energy. Water pollution is caused by human-made waste and its impending set of consequences. Land pollution is mainly caused by human activities, especially the use and management of different materials. These three types of pollution are interrelated, and the cause of one type of pollution may become the result of another. This paper discusses the main sources of pollution in the atmosphere, water and land, and the potential dangers that pollution may pose to humans and some other species that may be greatly threatened. The paper suggests that human should now manipulate their destruction of the environment, and act greenly to prevent the aggravation of the polluting process.
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6

Pei, Weiqi, and Weiran Pei. "Empirical Study on the Impact of Government Environmental Subsidies on Environmental Performance of Heavily Polluting Enterprises Based on the Regulating Effect of Internal Control." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 98. http://dx.doi.org/10.3390/ijerph20010098.

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At present, China’s economy is developing rapidly; however, at the same time, it is also bringing more and more serious environmental problems. Although many laws have been established in the country to limit pollution by enterprises—and enterprises are actively saving energy and reducing pollution—the situation is still not optimistic. In 2016, there were 35 cities across the country that exceeded the annual average air quality standard; these regions have been plagued by haze for a long time, which seriously threatens people’s health and sustainable social and economic development. Therefore, while pursuing economic benefits and realizing greater value, importance must be attached to environmental performance, especially for enterprises with serious pollution. Using the panel regression analysis method, based on the data of enterprises from 2010 to 2019, this paper empirically analyzes the effects of government environmental protection subsidies and internal control quality on the environmental performance of heavily polluting enterprises, and verifies the nonlinear critical effect of government subsidies and internal control on environmental performance. In addition, this paper also uses the intermediate effect model to verify the mechanism by which environmental subsidies impact the environmental performance of heavily polluting enterprises. Through the empirical analysis, the effects of environmental protection subsidies and internal control on the environmental performance of enterprises with serious pollution are obtained. In the process of environmental subsidy affecting the environmental performance of heavy-polluting enterprises, internal control plays a key intermediary role. In addition, environmental subsidies and internal controls have a certain impact on the environmental performance of heavily polluting enterprises. Through the empirical analysis, it is concluded that there are obvious differences between government subsidies and internal control on the environmental governance effects of heavily polluting enterprises in different regions and with different property rights. Among them, the environmental protection subsidies have the greatest impact on pollution degree in the central region, followed by the eastern region; in the western region, it is not obvious. Secondly, the incentive effect of government environmental subsidies on state-owned enterprises with serious environmental pollution is better than the environmental governance effect of non-state-owned enterprises.
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7

Chen, Hong, and Wenzhe Hu. "Determining Whether Trade Can Affect Regional Environmental Sustainability from the Perspective of Environmental Pollution." Sustainability 12, no. 5 (2020): 1746. http://dx.doi.org/10.3390/su12051746.

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The rising level of environmental pollution in China indicates that the current pattern of economic development is unsustainable. Therefore, ensuring environmental quality places higher requirements on China’s economic development pattern from the perspective of sustainability. At the same time, the rapid growth of China’s total trade is an important driving force for China’s rapid economic development. Based on the trade and environmental quality data of China’s 30 provincial administrative divisions, this paper uses a Dynamic Spatial Durbin Model to analyze the environmental quality effects of trade—that is, the composition, technical, and scale effect. Moreover, the environmental quality effects of trade are compared and analyzed in different regions. In this paper, the wastewater discharge and sulfur dioxide discharge are selected as the indicators of environmental pollution. The results show that the scale effect of trade is significantly negative, and that the scale effect is greater than the composition effect. Trade development is conducive to reducing regional environmental pollution. The main impact of trade development on reducing environmental pollution is through economies of scale. The composition effect and technology effect are smaller than the scale effect. The increase in trade in services has helped to reduce the growth rate of pollution emissions. Therefore, expanding service trade and optimizing the trade structure will help to reduce the intensity of pollutive emissions and thereby improve the sustainability of regional economic development.
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8

Zhou, Yalin, Jing Cao, and Yujia Feng. "Stock Market Reactions to Pollution Information Disclosure: New Evidence from the Pollution Blacklist Program in China." Sustainability 13, no. 4 (2021): 2262. http://dx.doi.org/10.3390/su13042262.

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Public disclosure of environmental information has been widely used as an important instrument in green finance. In this paper, we examine a blacklist program of polluting firms and conduct an event study to evaluate how the stock market responds to the pollution news. Our results show that the pollution disclosure indeed had a significant negative effect on the stock market performance of listed companies on the blacklists, but only when the overall market was under downward shocks, suggesting that the shareholders were more sensitive to the pollution news in bad times. When the stock market performed well or was relatively stable, the blacklist effects were not evident. Our heterogeneity analyses further revealed that the magnitude of the cumulative abnormal returns depended on the firm size. That is, the larger the firms are, the less they suffer from the pollution news release. Our findings show that pollution disclosure does penalize the polluting firms through stock market response mechanisms.
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9

Li, Meng, and Dan Wang. "Environmental Pollution and Economic Growth." Applied Mechanics and Materials 535 (February 2014): 340–45. http://dx.doi.org/10.4028/www.scientific.net/amm.535.340.

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This paper utilize generalized impulse response function of the VAR model and variance decomposition method to investigate the effects of long-term dynamic characteristics between environmental pollution indicators and GDP per capita in 11 provinces of western China in the 1992-2010.Impulse response analysis showed that:on the one hand economic growth is a major cause of environmental pollution.Environmental pollution on the other hand, economic growth, there are also a reverse effect.however, this force has a certain lag effect. Variance decomposition results show that although environmental pollutionis an important variable to forecast economic growth, the economic growth has little contribution to explain various types of environmental pollution predictor.
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10

Zsombor, Kisfaludi-Bak. "Analyses of River Oil-Spills and Actual Solving Methods." Műszaki Tudományos Közlemények 15, no. 1 (2021): 108–11. http://dx.doi.org/10.33894/mtk-2021.15.21.

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Abstract Nowadays, there is an increasing emphasis on the problem of water quality. Of the many polluting effects, oil pollution is perhaps the most harmful, but its effects are being studied mostly on large seas and oceans worldwide. In the case of Transylvania and probably the entire country, pollution of rivers by oil – based on yearly occurrence – has a larger effect than that of sea pollution. Every year we observe 40-55 such water pollution events, therefore, analysis and investigation of solution methods is of great importance. This paper attempts to shed light on this issue, presenting also the method currently used by the Romanian Water Authority.
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11

Kwon, Ho Jang. "Health Effect of Air Pollution." Journal of the Korean Medical Association 41, no. 10 (1998): 1025. http://dx.doi.org/10.5124/jkma.1998.41.10.1025.

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12

Levinson, Arik, and M. Scott Taylor. "UNMASKING THE POLLUTION HAVEN EFFECT." International Economic Review 49, no. 1 (2008): 223–54. http://dx.doi.org/10.1111/j.1468-2354.2008.00478.x.

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13

Matagi, Samuel Vivian. "The effect of pollution on benthic macroinvertebrates in a Ugandan stream." Archiv für Hydrobiologie 137, no. 4 (1996): 537–49. http://dx.doi.org/10.1127/archiv-hydrobiol/137/1996/537.

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14

Latha, G. Madhavi, K. Sarala, and Shivakrishna Gouroju. "Effect of Construction and Flour Mill Air Pollution in Rural Area." International Journal of Integrative Medical Sciences 2, no. 2 (2015): 70–77. http://dx.doi.org/10.16965/ijims.2015.104.

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15

Baxy, Dr Rekha. "Effect of Noise Pollution on Behavior (with Reference to Environmental Psychology)." International Journal of Scientific Research 3, no. 1 (2012): 433–34. http://dx.doi.org/10.15373/22778179/jan2014/150.

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16

Wang, Jianyi. "The effect of light pollution and noise pollution on birds." Theoretical and Natural Science 20, no. 1 (2023): 263–67. http://dx.doi.org/10.54254/2753-8818/20/20230783.

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It is common knowledge that human society is developing faster and faster nowadays. As human society is developing, the cities are expanding. As the cities are expanding, more and more people are now in the city. To help these people live a better life, more and more resources are produced. After producing most of the products nowadays, there comes pollution. In this way, pollution is getting more and more serious. All of the pollution that is already in a city do not only affect human but also affect birds. One of the most common non pollution is air pollution, almost every city in the world has air pollution. But there are also two other kinds of pollution that is also harming the society and the animals in a serious way. They are light pollution and sound pollution. This passage focuses on these two types of pollution. Light pollution will cause birds to sleep less and may affect their migration way. The birds may be killed halfway on migration way because of the light may lead them to a loss of direction. Sound pollution also reduces the bird sleeping quality. This kind of pollution also cause birds to get food more difficult. By analyzing the effects of these pollution, some ways to help birds may be figured out.
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17

Zou, Eric Yongchen. "Unwatched Pollution: The Effect of Intermittent Monitoring on Air Quality." American Economic Review 111, no. 7 (2021): 2101–26. http://dx.doi.org/10.1257/aer.20181346.

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Intermittent monitoring of environmental standards may induce strategic changes in polluting activities. This paper documents local strategic responses to a cyclical, once-every-six-day air quality monitoring schedule under the federal Clean Air Act. Using satellite data of monitored areas, I show that air quality is significantly worse on unmonitored days. This effect is explained by short-term suppression of pollution on monitored days, especially during high-pollution periods when the city’s noncompliance risk is high. Cities’ use of air quality warnings increases on monitored days, which suggests local governments’ role in coordinating emission reductions. (JEL K32, Q35, Q58, R11)
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18

Liu, Yajie, and Feng Dong. "How Industrial Transfer Processes Impact on Haze Pollution in China: An Analysis from the Perspective of Spatial Effects." International Journal of Environmental Research and Public Health 16, no. 3 (2019): 423. http://dx.doi.org/10.3390/ijerph16030423.

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Industrial transfer from advanced regions is a good way to foment economic development in less advanced regions. Nevertheless, does industrial transfer intensify or alleviate haze pollution? To answer this question, this study employed the shift-share method and spatial panel models to explore how industrial transfer processes impact haze pollution in the case of China. The main results are as follows: (1) With the advances made in industrial transfer and upgrading, China has entered the stage of decoupling between the economic development level and haze pollution. (2) Industrial transfer could effectively alleviate the degree of haze pollution in the transferred-out areas, but it would have a significant accelerating effect on haze pollution in the transferred-in areas. Compared with non-polluting industries, polluting industries would be responsible for a large deterioration in the local air quality. (3) Environmental regulations, as the main factor mitigating environmental pollution, do not achieve the desired effects and significantly reduce the regional pollution levels that led to haze. Therefore, the effects of industrial transfer should also be comprehensively considered in government of undertake regions. There would likely be great economic costs if the old path of “pollution first and treatment later” is followed. This study not only advances the existing literature, but also is of considerable interest to policy makers.
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19

Wang, Yuxin, Jinping Xiong, Wenlong Li, Ming Na, and Mei Yao. "The Effect of Social Capital on Environmental Pollution in China—Suppression or Promotion?" International Journal of Environmental Research and Public Health 17, no. 24 (2020): 9459. http://dx.doi.org/10.3390/ijerph17249459.

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The 19th National Congress of the Communist Party of China clearly regards the prevention and control of environmental pollution as one of the “three key battles” to build a well-off society. This paper analyzes the relationship between social capital and environmental pollution from both theoretical and empirical perspectives. From the theoretical perspective, social capital has two opposite effects on environmental pollution: the suppression and the promotion. The former indicates that the improvement of social capital level reduces the cost of residents’ boycott to pollution and reduces pollution emissions, while the latter manifests that the improvement of social capital worsens environmental pollution due to the ability of polluting enterprises to withstand residents’ boycott. Based on the panel data of China from 2008 to 2016, the empirical results show that social capital has inverted U-shaped characteristics on environmental pollution. Low level of social capital will increase pollution emissions and only when social capital reaches a certain level can it be beneficial to environmental protection. This paper attempts to better understand the functions of social capital in environmental governance and provides constructive proposals on how to exert the governance role of social capital on environmental protection for policy makers. Regions with higher levels of social capital should exert the suppression effect of social capital and regions with low levels should focus on improving the level of social capital, while formal regulation means shall be adopted to control pollution.
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20

Chen, Jibo, Keyao Chen, Guizhi Wang, Lingyan Wu, Xiaodong Liu, and Guo Wei. "PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism." International Journal of Environmental Research and Public Health 16, no. 7 (2019): 1159. http://dx.doi.org/10.3390/ijerph16071159.

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In this paper, a vector autoregression (VAR) model has been constructed in order to analyze a two-way mechanism between PM2.5 pollution and industry development in Beijing via the combination of an impulse response function and variance decomposition. According to the results, long-term equilibrium interconnection was found between PM2.5 pollution and the development of primary, secondary, and tertiary industries. One-way Granger causalities were found in the three types of industries shown to contribute to PM2.5 pollution, though the three industries showed different scales of influences on the PM2.5 pollution that varied for about 1–2 years. The development of the primary and secondary industries increased the emission of PM2.5, but the tertiary industry had an inhibitory effect. In addition, PM2.5 pollution had a certain inhibitory effect on the development of the primary and secondary industries, but the inhibition of the tertiary industry was not significant. Therefore, the development of the tertiary industry can contribute the most to the reduction of PM2.5 pollution. Based on these findings, policy-making recommendations can be proposed regarding upcoming pollution prevention strategies.
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21

Chen, Jiu-Chiuan, and Jonathan Michael Samet. "Air pollution and suicide risk: another adverse effect of air pollution?" European Journal of Epidemiology 32, no. 11 (2017): 943–46. http://dx.doi.org/10.1007/s10654-017-0329-9.

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22

Zeng, Zhihong, and Chen You. "The Price of Becoming a City: Decentralization and Air Pollution—The Evidence from the Policy of County-to-City Upgrade in China." International Journal of Environmental Research and Public Health 19, no. 23 (2022): 15621. http://dx.doi.org/10.3390/ijerph192315621.

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It is necessary to reassess the pollution effects of decentralization reforms to improve the future policy design for better economic and social development in the postepidemic era. This study examines the relationship between decentralization and air pollution by exploiting the policy of County-to-City Upgrade in China from 2005 to 2018. Upgrading empowered new cities in fiscal, administrative, and economic matters without changing the political hierarchy. Under the cadre evaluation system, the new county-level city government preferred to increase construction land area and attract more polluting firms to promote economic development, and air pollution became more severe. Heterogeneity tests found that when the new city was located in eastern China or was away from the provincial boundary, decentralization would induce more severe air pollution. Overall, decentralization without a supplementary incentive rule has a negative effect on air pollution.
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23

Reish, Donald J., Philip S. Oshida, Alan J. Mearns, Thomas C. Ginn, and Michael Buchman. "Effect of Pollution on Marine Organisms." Water Environment Research 77, no. 6 (2005): 2733–819. http://dx.doi.org/10.2175/106143005x54669.

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24

Mearns, Alan J., Donald J. Reish, Philip S. Oshida, Michael Buchman, and Thomas Ginn. "Effect of Pollution on Marine Organisms." Water Environment Research 78, no. 10 (2006): 2033–86. http://dx.doi.org/10.2175/106143006x119503.

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25

Reish, Donald J., Philip S. Oshida, Alan J. Mearns, and Thomas C. Ginn. "Effect of pollution on marine organisms." Water Environment Research 68, no. 4 (1996): 784–96. http://dx.doi.org/10.2175/106143096x135650.

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26

Kartashev, A. G., and M. V. Koval’skaya. "Effect of petroleum pollution on rotifer." Contemporary Problems of Ecology 5, no. 4 (2012): 371–75. http://dx.doi.org/10.1134/s1995425512040075.

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27

Grether, Jean-Marie, Nicole Andréa Mathys, and Jaime de Melo. "Unravelling the worldwide pollution haven effect." Journal of International Trade & Economic Development 21, no. 1 (2012): 131–62. http://dx.doi.org/10.1080/09638190903552040.

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28

Slanina, J. "Air pollution: the emission–effect relation." Reviews in Environmental Science and Bio/Technology 6, no. 4 (2007): 353–74. http://dx.doi.org/10.1007/s11157-006-0017-9.

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29

Kulkarni, Neeta, and Jonathan Grigg. "Effect of air pollution on children." Paediatrics and Child Health 18, no. 5 (2008): 238–43. http://dx.doi.org/10.1016/j.paed.2008.02.007.

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30

MacNee, X. Y. Li, P. Gilmour, K. Do, W. "SYSTEMIC EFFECT OF PARTICULATE AIR POLLUTION." Inhalation Toxicology 12, sup3 (2000): 233–44. http://dx.doi.org/10.1080/08958370050165094.

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31

MacNee, W., X. Y. Li, P. Gilmour, and K. Donaldson. "Systemic Effect of Particulate Air Pollution." Inhalation Toxicology 12, sup3 (2000): 233–44. http://dx.doi.org/10.1080/08958378.2000.11463218.

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32

Peden, David B. "Effect of pollution on allergy/immunology." Journal of Allergy and Clinical Immunology 141, no. 3 (2018): 878–79. http://dx.doi.org/10.1016/j.jaci.2018.01.017.

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33

Khan, Ijaz M., Richard R. Simons, and Anthony J. Grass. "Upstream Turbulence Effect on Pollution Dispersion." Environmental Fluid Mechanics 5, no. 5 (2005): 393–413. http://dx.doi.org/10.1007/s10652-005-2932-7.

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34

Han, Xinran. "Nuclear Pollution and Its Effects on Marine Ecosystems." Highlights in Science, Engineering and Technology 69 (November 6, 2023): 212–18. http://dx.doi.org/10.54097/hset.v69i.11906.

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Nuclear pollution is a severe environmental problem deriving mainly from industrial activities and can pose extremely negative affect to plants and animal bodies. Nuclear waste also has extreme negative effect on human bodies and can cause various diseases including skin disease, infant deficiency and cancer. There are few studies about the effect of nuclear waste to food webs and how it affects different trophic levels within the ecosystems. This study explains the effect of nuclear pollution on the marine ecosystems and focuses on the transportation of the pollutants through food webs as well as the sufferance of species in different trophic levels. It is concluded that nuclear pollutants can experience biomagnification within food webs and are transported to higher trophic levels by their food consumption. In addition, planktons, fish and seals are representative species of different trophic levels in marine food webs, and these species all suffer from nuclear contamination after nuclear pollutants enter their bodies through biomagnification. Future studies can focus on the process of energy transportation within food webs, such as whether the absorption of energy would be less efficient by higher trophic levels after consuming organisms with nuclear pollutants inside comparing to organisms with no nuclear pollutants. This study propose a explanation of respective effects of different trophic levels in marine ecosystems by nuclear pollutions, which can call on attention to the extreme negative effect of nuclear pollution to marine ecosystems.
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Touloumi, G., E. Samoli, M. Pipikou, A. Le Tertre, R. Atkinson, and K. Katsouyanni. "Seasonal confounding in air pollution and health time-series studies: effect on air pollution effect estimates." Statistics in Medicine 25, no. 24 (2006): 4164–78. http://dx.doi.org/10.1002/sim.2681.

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36

Li, Xuesong, Min Zhou, Wenyu Zhang, Kewei Yu, and Xin Meng. "Study on the Mechanism of Haze Pollution Affected by Urban Population Agglomeration." Atmosphere 13, no. 2 (2022): 278. http://dx.doi.org/10.3390/atmos13020278.

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Population agglomeration and haze pollution are two major problems that urban development will inevitably face in the future. Population agglomeration has a spatial impact on smog pollution through scale and intensive effects. This paper uses panel data from 236 prefecture-level cities in China from 2001 to 2012 to verify the impact of urban population agglomeration on haze pollution and its mechanism based on a spatial lag model. The research shows that: (1) China’s urban haze pollution has a significant positive spatial spillover effect, and presents a spatial distribution state of high-high and low-low agglomeration. (2) There is a significant “N-type” nonlinear relationship between urban population agglomeration and haze pollution. (3) At present, the scale effect of urban population agglomeration in China is greater than the intensification effect, and the scale effect as well as intensification effect have opposite effects on haze pollution. This shows that urban layout should be scientifically planned, urban population should be reasonably controlled, production efficiency should be improved, and green development should be promoted to deal with haze pollution. (4) The spillover effect of urban population agglomeration on haze pollution is significantly greater than the direct effect, indicating that local haze pollution is more likely to be affected by spatially related regions, indicating that strengthening regional coordination and cooperation and joint prevention and control are necessary to control haze pollution.
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Lu, Yuan Tang, Peng Chen, Jian Hua Zhu, Shun Qing Xu, and Jun Gao. "Empirical Analysis on Pollution Control Effects Decomposition of Environmental Protection Investments." Advanced Materials Research 726-731 (August 2013): 1400–1404. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.1400.

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Based on the decomposition analysis method of pollution change, the article extended connotation of decomposition model, and applied it to the analysis of pollution removal factors. It quantitatively decomposed effects of increased environmental protection investments upon the change of COD removal into scale effect, structure effect and technology effect. Results show that the scale effect makes the largest contribution to the removal of COD, the structure change of environmental protection investments and technical effect perform negative effects. The environmental pollution control appeared as a rude mode, and the efficiency of pollution control is relatively low. Therefore, we should increase investment in industrial pollution treatments, promoting the application of friendly-sound and advanced technology, intensifying the construction of pollution treatment infrastructures and supervision on the whole operation so as to raise the environment benefits of environmental protection investments.
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38

Ji, Li, Pan Jia, and Jingshi Yan. "Green credit, environmental protection investment and debt financing for heavily polluting enterprises." PLOS ONE 16, no. 12 (2021): e0261311. http://dx.doi.org/10.1371/journal.pone.0261311.

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The paper takes listed companies in the heavily polluting industry from 2009–2017 as a research sample to explore whether heavy pollution enterprises’ environmental protection investment helps their debt financing under the institutional background of China’s continuous implementation of green credit policy. It is found that, in general, the environmental protection investment of heavy pollution enterprises helps them to obtain more and relatively long-term new loans; in terms of time, this effect is more evident after the release of China’s Green Credit Guidelines in 2012; in addition, the level of regional environmental pollution, the level of financial development and the green fiscal policy also have a moderating effect on this. This paper enriches the study of the economic consequences of corporate environmental protection investment from the perspective of debt financing. It examines the effects of the implementation of China’s green credit policy and other institutional factors to provide a reference for the heavy pollution enterprises’ environmental protection investment and the implementation of green credit policy by local governments in China.
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39

Jin, Yanhong, and Liguo Lin. "China's provincial industrial pollution: the role of technical efficiency, pollution levy and pollution quantity control." Environment and Development Economics 19, no. 1 (2013): 111–32. http://dx.doi.org/10.1017/s1355770x13000508.

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AbstractUsing China's provincial economic and pollution data from 1992 to 2008, we employ data envelope analysis and econometric analyses to explicitly estimate technical efficiency and examine the role of technical efficiency, pollution control instruments (pollution levy and pollution quantity control) and prices of production inputs on pollution intensity. We find that an increase of labor wage and a decrease of capital cost are associated with an improvement in technical efficiency. The levy rates of air pollution improve technical efficiency but pollution quantity control targets have no statistically significant effect on technical efficiency. On the other hand, technical efficiency, the effective levy rates, pollution quantity control targets and capital cost have a negative effect but wage has a positive effect on pollution intensity. The importance of production input prices in pollution intensity and technical efficiency suggests alternative channels for industrial pollution control as well as cautions for the unintended consequence on the environment if any policy changes are made relating to labor and capital costs.
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40

Caetano, Rafaela Vital, António Cardoso Marques, and Tiago Lopes Afonso. "How Can Foreign Direct Investment Trigger Green Growth? The Mediating and Moderating Role of the Energy Transition." Economies 10, no. 8 (2022): 199. http://dx.doi.org/10.3390/economies10080199.

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Developed countries have the resources/technologies to combat pollution even at the expense of economic growth. Developing countries are in a less fortunate position. Foreign Direct Investment (FDI) can be a tool for developed countries to transfer polluting industries, which increases pollution in host countries. However, as FDI might reduce pollution by reducing energy consumption, the pollutant effect might also be influenced. Therefore, this study examines the mediating effect of energy consumption on the impact of FDI on pollution, and the role of FDI to attain Green Growth via energy transition. The main findings indicate that FDI impacts pollution through energy consumption and that energy transition plays a vital role in reducing this mediating effect. Developing countries appear to use non-renewable energy to fill energy demand. In both groups of countries, FDI is a driver of Green Growth. However, developing countries require larger efforts to achieve Green Growth through the energy transition.
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41

Rastogi, Rohit, D. K. Chaturvedi, Mukund Rastogi, et al. "Surveillance of Air Quality and Measuring Effect of Homa Activity at Delhi, India." International Journal of Public and Private Perspectives on Healthcare, Culture, and the Environment 6, no. 1 (2022): 1–19. http://dx.doi.org/10.4018/ijppphce.305451.

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The manuscript deals with the increasing pollution and vanishing of AQI in NCR region of India due to many factors like Parali (stubble) burning, traffic and pollution caused by factories to generate electricity by thermal power combustion. The Manuscript discusses the statistical effects of Indian Homa and Yajna process and its effect on curbing the pollution and improving AQI. It has been found that Yajna helps in purification of the environment and different AQI factors are improved by its continuous exercise for long time at a particular place. The python based data analysis has been presented to justify the problem statement and gadget and sensor based readings are produced in evidences. This paper is an attempt to convert the belief of one hundred thirty-eight crores Indians into practical and an evolutionary step towards Vedic sciences and natural prevention of Air-Pollutions. This is an effort to draw the attention of the masses and to bring into notice and consideration of this wonderful technique in front of the whole world.
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Le, Dong, Fei Ren, Yiding Tang, and Yuke Zhu. "The Effect of Environmental Policy Uncertainty on Enterprises’ Pollution Emissions: Evidence from Chinese Industrial Enterprise." International Journal of Environmental Research and Public Health 19, no. 16 (2022): 9849. http://dx.doi.org/10.3390/ijerph19169849.

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In response to the global call for emission reduction, China has assumed international responsibility for energy conservation and emission reduction by enacting several environmental policies to save energy and reduce consumption. However, it is debatable whether the increased uncertainty in environmental policies negatively affects firms’ emission reduction. Few studies have examined this relationship based on micro-level data. Therefore, this study constructs a theoretical framework of environmental policy uncertainty affecting firms’ pollution emissions. Based on comprehensive data from the Chinese Industrial Enterprise Database, the Chinese Industrial Enterprise Pollution Emission Database, and the Chinese Patent Database from 2002 to 2014, we empirically analyzed the impact of environmental policy uncertainty on firms’ pollution emissions. The results show that (1) environmental policy uncertainty significantly aggravates the pollution emission intensity of industrial enterprises; (2) environmental policy uncertainty inhibits the improvement of enterprises’ innovation capacity, reduces their human capital stock and foreign investment, and aggravates their pollution emission; (3) environmental policy uncertainty has significant heterogeneity on enterprise pollution emissions, that is, environmental policy uncertainty has a greater impact on non-export enterprises, large enterprises, young enterprises, capital-intensive enterprises, state-owned enterprises, and enterprises in polluting industries and central regions. This study provides a useful reference for the improvement of environmental policy and the green transformation of enterprises.
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43

Gao, Wei, Yong Peng Lyu, Sheng Xie, Wen Li, and Juan He. "Sunken Lawn: Sink Effect for Stormwater Pollution." Advanced Materials Research 1092-1093 (March 2015): 1259–63. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.1259.

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The soil column was structured to simulate the sunken lawn and three processes were simulated, including rainfall and runoff process, surface erosion and vertical infiltration process, pollutant migration and transformation process. Results show that sunken lawn is a sink and has significant effects for stormwater pollution. The overall reduction rates of CODCr, TN and ammonia is 71.01±1.75%, 69.00±1.78%, and 64.39±1.84% respectively. The reduction effect is related to the pollution load, hydraulic loading and antecedent dry period.
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Wang, Lu, Shumin Jiang, and Hua Xu. "Reexamining the Impact of Industrial Structure on Haze Pollution Based on the Yangtze River Delta." Atmosphere 12, no. 5 (2021): 613. http://dx.doi.org/10.3390/atmos12050613.

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In this study, the static and dynamic spatial Durbin model between industrial structure and haze pollution in Yangtze River Delta is constructed. Later, the spatial spillover effect and time lag effect of haze pollution in Yangtze River Delta are analyzed. The impact of rationalization and upgrading of industrial structure on haze pollution and its spatial spillover effect are discussed. The results show that: (i) PM2.5 has a significant positive spatial spillover effect and time lag effect; (ii) in the short run, the rationalization and upgrading of industrial structure has no inhibitory effect on haze pollution, while the rationalization and upgrading of industrial structure of surrounding cities has an inhibitory effect on local haze pollution; (iii) in the long run, the rationalization and upgrading of industrial structure of surrounding cities have an inhibitory effect on local haze pollution; (iv) economic growth, FDI, the number of Industrial Enterprises above Designated Size, and population density also have spatial spillover effects on haze pollution. Therefore, considering the spatial spillover effect of haze pollution from the perspective of urban agglomeration and long-term, strengthening the joint prevention and control and comprehensive treatment among cities, further promoting the rationalization and upgrading of industrial structure is conducive to reducing haze pollution.
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45

Xu, Minglong, Huimin Li, and Xianghui Deng. "Measuring the Synergistic Effect of Pollution and Carbon Reduction in China’s Industrial Sector." Sustainability 16, no. 3 (2024): 1048. http://dx.doi.org/10.3390/su16031048.

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The industrial sector is a major source of CO2 and atmospheric pollutants in China, and it is important to promote industrial pollution reduction and carbon reduction to improve the quality of China’s atmospheric environment and meet CO2 peak targets. In this paper, based on 2005 to 2021’s panel data from the industrial sector, we construct a computational model of the synergistic effect of pollution reduction and carbon reduction, quantitatively evaluate the synergistic effect of industrial CO2 emissions and air pollutants, and explore its evolutionary mechanism. The results showed that between 2005 and 2021, there was a clear synergistic effect between CO2 and air pollutants in China’s industrial sector, and the synergistic effect is increasing. For different pollutants, CO2 and SO2 have the strongest synergies, and CO2 and particulate matter have relatively weak synergies. For different energy types, the synergies between coal-related carbon emissions and air pollutants gradually increase, while gas-related carbon emissions and pollutants tend to decrease. From different industry types, the synergies between CO2 and air pollutants are weaker in high-polluting and high-emission industries than in other industries. These results have strong policy implications. First, the focus of synergistic measures should be on source reduction. The second is to make high-polluting and high-emission industries the focus of pollution reduction and carbon reduction. Third is harmonized management of air quality standards and carbon peaking should be promoted. The formulation of relevant policies from the above three aspects will help synergize pollution reduction and carbon reduction in the industrial sector.
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46

Šmelcerović, Miodrag. "VALORIZATION OF THE URBAN ENVIRONMENT OF SOUTH SERBIA FROM THE AIR QUALITY ASPECT." Knowledge International Journal 28, no. 4 (2018): 1329–33. http://dx.doi.org/10.35120/kij28041329m.

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The protection of the environment and people’s health from negative influences of the pollution of air as a medium of the environment requires constant observing of the air quality in accordance with international standards, the analysis of emission and imission of polluting matters in the air, and their connection with the sources of pollution. Having in mind the series of laws and delegated legislations which define the field of air pollution, it is necessary to closely observe these long-term processes, discovering cause-and-effect relationships between the activities of anthropogenic sources of emission of polluting matters and the level of air degradation. The relevant evaluation of the air quality of a certain area can be conducted if the level of concentration of polluting matters characteristic for the pollution sources of this area is observed in a longer period of time. The data obtained by the observation of the air pollution are the basis for creation of the recovery program of a certain area. Vranje is a town in South Serbia where there is a bigger number of anthropogenic pollution sources that can significantly diminish the air quality. The cause-and-effect relationship of the anthropogenic sources of pollution is conducted related to the analysis of systematized data which are in the relevant data base of the authorized institution The Institute of Public Health Vranje, for the time period between the year of 2012. and 2017. By the analysis of data of imission concentrations of typical polluting matters, the dominant polluting matters were determined on the territory of the town of Vranje, the ones that are the causers of the biggest air pollution and the risk for people’s health. Analysis of the concentration of soot, sulfur dioxide and nitrogen oxides indicates their presence in the air of Vranje town area in concentrations that do not exceed the permitted limit values annually. The greatest pollution is caused by the soot content in the air, especially in the winter period when the highest number of days with the values above the limit was registered. By perceiving the influence of natural and anthropogenic factors, it is clear that the concentration of polluting matters can be decreased only by establishing control over anthropogenic sources of pollution, and thus it can be contributed to the improvement of the air quality of this urban environment.
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Šmelcerović, Miodrag. "AIR QUALITY AT THE TERRITORY OF THE CITY OF LESKOVAC." Knowledge International Journal 29, no. 1 (2019): 77–81. http://dx.doi.org/10.35120/kij2901077m.

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The protection of the environment and people’s health from negative influences of the pollution of air as a medium of the environment requires constant observing of the air quality in accordance with international standards, the analysis of emission and imission of polluting matters in the air, and their connection with the sources of pollution. Having in mind the series of laws and delegated legislations which define the field of air pollution, it is necessary to closely observe these long-term processes, discovering cause-and-effect relationships between the activities of anthropogenic sources of emission of polluting matters and the level of air degradation. The relevant evaluation of the air quality of a certain area can be conducted if the level of concentration of polluting matters characteristic for the pollution sources of this area is observed in a longer period of time. The data obtained by the observation of the air pollution are the basis for creation of the recovery program of a certain area. Leskovac is a town in South Serbia where there is a bigger number of anthropogenic pollution sources that can significantly diminish the air quality. The cause-and-effect relationship of the anthropogenic sources of pollution is conducted related to the analysis of systematized data which are in the relevant data base of the authorized institution The Institute of Public Health, for the time period between the year of 2012. and 2017. By the analysis of data of imission concentrations of typical polluting matters, the dominant polluting matters were determined on the territory of the town of Leskovac, the ones that are the causers of the biggest air pollution and the risk for people’s health. Analysis of the concentration of soot, sulfur dioxide and nitrogen oxides indicates their presence in the air of Leskovac town area in concentrations that do not exceed the permitted limit values annually. The greatest pollution is caused by the soot content in the air, especially in the winter period when the highest number of days with the values above the limit was registered. By perceiving the influence of natural and anthropogenic factors, it is clear that the concentration of polluting matters can be decreased only by establishing control over anthropogenic sources of pollution, and thus it can be contributed to the improvement of the air quality of this urban environment.
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48

Ji, Duan, Yuyu Liu, Lin Zhang, Jingjing An, and Wenyan Sun. "Green Social Responsibility and Company Financing Cost-Based on Empirical Studies of Listed Companies in China." Sustainability 12, no. 15 (2020): 6238. http://dx.doi.org/10.3390/su12156238.

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Taking Chinese A-share listed companies in Shanghai and Shenzhen Stock Exchanges from 2007 to 2018 as research samples, this paper studies the relationship between green corporation social responsibility (CSR) and financing cost of Chinese companies by means of moderating effect and multiple regression analysis. It is found that, for companies, the better the performance of green social responsibility, the lower the financing cost. However, it is also found that for companies with different pollution degrees and natures of property rights, the financing cost reduction effects due to green social responsibility are quite different. Compared with low-polluting companies, the financing cost reduction effect arisen by green CSR will be weakened for high-polluting companies. Compared with private companies, the financing cost reduction effect from green CSR will also be weakened for state-owned companies. To sum up, the research results of this paper show that there is a significant saving effect on financing cost for companies undertaking green CSR, and companies’ characteristics of pollution degree and property right can regulate the impact of green CSR on financing cost. The conclusion of this paper can encourage companies to take green social responsibility actively and reduce the cost of financing.
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Wang, Kai, and Ao Wang. "One Belt and One Road Impact on Environment, Economy & Health in Western China Through Industry Transfer." Ecological Chemistry and Engineering S 30, no. 2 (2023): 201–7. http://dx.doi.org/10.2478/eces-2023-0020.

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Abstract Based on fully absorbing and learning from the relevant research results at home and abroad, this paper focuses on four aspects: the transfer of polluting industries in the central and western regions and residents’ health problems. Firstly, the current pattern and development trend of regional pollution transfer in China; secondly, the economic effect of the transfer of polluting industries on the western undertaking areas; finally, from the micro and macro perspectives, the paper investigates the impact of the transfer of polluting industries on the individual health and health expenditure of residents in western China. The results show that the gap between industrial environmental and economic efficiency in the western region narrowed and gradually stabilised from 2008 to 2017. However, the gap between industrial environmental efficiency and economic efficiency in the western region widened from 2017 to 2020. The impact of environmental pollution on industrial environmental efficiency in the western provinces and regions has regional differences. Secondly, the present situation and trend of pollution control in western China are macroscopically investigated by comparing the output of general industrial solid waste and the investment in pollution control in different regions. Finally, this paper reveals the impact of the transfer of polluting industries on the health of residents in western China. Based on the characteristics of household category, age, and income of interviewees, the income growth effect of the transfer of polluting industries is less than the health loss caused by the transfer of pollution. It can be found that the transfer of polluting industries has a significant impact on the environment, economy, and the health of residents in western China.
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50

Tomar, Dr Vinayak Singh, and N. S. Dadoriya N.S. Dadoriya. "Air Pollution and their Effect on Human Health in Morena City, Madhya Pradesh." International Journal of Scientific Research 2, no. 5 (2012): 276–78. http://dx.doi.org/10.15373/22778179/may2013/92.

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