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1

Asghari, Maryam. "Pollution Haven Effect and Water Quality." International Academic Journal of Economics 06, no. 01 (June 25, 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 (January 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

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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4

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

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5

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 (February 28, 2015): 70–77. http://dx.doi.org/10.16965/ijims.2015.104.

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6

Matagi, Samuel Vivian. "The effect of pollution on benthic macroinvertebrates in a Ugandan stream." Archiv für Hydrobiologie 137, no. 4 (October 18, 1996): 537–49. http://dx.doi.org/10.1127/archiv-hydrobiol/137/1996/537.

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7

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 (February 19, 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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8

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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9

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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10

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

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11

Zou, Eric Yongchen. "Unwatched Pollution: The Effect of Intermittent Monitoring on Air Quality." American Economic Review 111, no. 7 (July 1, 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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12

Chen, Hong, and Wenzhe Hu. "Determining Whether Trade Can Affect Regional Environmental Sustainability from the Perspective of Environmental Pollution." Sustainability 12, no. 5 (February 26, 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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13

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 (December 17, 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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14

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 (November 2017): 943–46. http://dx.doi.org/10.1007/s10654-017-0329-9.

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15

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 (February 1, 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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16

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 (September 2005): 2733–819. http://dx.doi.org/10.2175/106143005x54669.

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17

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 (September 2006): 2033–86. http://dx.doi.org/10.2175/106143006x119503.

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18

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 (June 1996): 784–96. http://dx.doi.org/10.2175/106143096x135650.

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19

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

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20

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

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21

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

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22

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 (February 2012): 131–62. http://dx.doi.org/10.1080/09638190903552040.

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23

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

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24

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

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25

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

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26

Slanina, J. "Air pollution: the emission–effect relation." Reviews in Environmental Science and Bio/Technology 6, no. 4 (March 13, 2007): 353–74. http://dx.doi.org/10.1007/s11157-006-0017-9.

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27

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 (June 1, 2012): 276–78. http://dx.doi.org/10.15373/22778179/may2013/92.

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28

Jacobsen, Dean. "The effect of organic pollution on the macroinvertebrate fauna of Ecuadorian highland streams." Fundamental and Applied Limnology 143, no. 2 (October 20, 1998): 179–95. http://dx.doi.org/10.1127/archiv-hydrobiol/143/1998/179.

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29

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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30

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 (March 31, 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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31

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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32

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 (November 19, 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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33

You, Kun, Jun Liu, and Ya Shu Yuan. "Effect of EPS on Membrane Pollution in IMBR." Advanced Materials Research 908 (March 2014): 383–86. http://dx.doi.org/10.4028/www.scientific.net/amr.908.383.

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Using the IMBR processing simulation sewage test, The aim was to determine effect of EPS on membrane pollution in IMBR.The result showed that EPS was key to control membrane pollution during the system running 40 days. When EPS was between 14.85 and 19.44 mg.g-1MLSS, the membrane pollution only rose from 12.74 to 36.26Pa.After accumulated with the continuous increase of EPS, membrane pollution was getting worse. At the end of the running of the system, EPS, polysaccharide content increased to 71.08 and 63.92 mg.g-1MLSS. membrane pollution was271.46Pa. IMBR effluent quality was stable ,but membrane pollution was serious.
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34

Thurston, George D., Howard Kipen, Isabella Annesi-Maesano, John Balmes, Robert D. Brook, Kevin Cromar, Sara De Matteis, et al. "A joint ERS/ATS policy statement: what constitutes an adverse health effect of air pollution? An analytical framework." European Respiratory Journal 49, no. 1 (December 19, 2016): 1600419. http://dx.doi.org/10.1183/13993003.00419-2016.

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The American Thoracic Society has previously published statements on what constitutes an adverse effect on health of air pollution in 1985 and 2000. We set out to update and broaden these past statements that focused primarily on effects on the respiratory system. Since then, many studies have documented effects of air pollution on other organ systems, such as on the cardiovascular and central nervous systems. In addition, many new biomarkers of effects have been developed and applied in air pollution studies.This current report seeks to integrate the latest science into a general framework for interpreting the adversity of the human health effects of air pollution. Rather than trying to provide a catalogue of what is and what is not an adverse effect of air pollution, we propose a set of considerations that can be applied in forming judgments of the adversity of not only currently documented, but also emerging and future effects of air pollution on human health. These considerations are illustrated by the inclusion of examples for different types of health effects of air pollution.
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35

Klingmüller, Klaus, Jos Lelieveld, Vlassis A. Karydis, and Georgiy L. Stenchikov. "Direct radiative effect of dust–pollution interactions." Atmospheric Chemistry and Physics 19, no. 11 (June 4, 2019): 7397–408. http://dx.doi.org/10.5194/acp-19-7397-2019.

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Abstract. The chemical ageing of aeolian dust, through interactions with air pollution, affects the optical and hygroscopic properties of the mineral particles and hence their atmospheric residence time and climate forcing. Conversely, the chemical composition of the dust particles and their role as coagulation partners impact the abundance of particulate air pollution. This results in a change in the aerosol direct radiative effect that we interpret as an anthropogenic radiative forcing associated with mineral dust–pollution interactions. Using the ECHAM/MESSy atmospheric chemistry climate model (EMAC), which combines the Modular Earth Submodel System (MESSy) with the European Centre Hamburg (ECHAM) climate model, including a detailed parametrisation of ageing processes and an emission scheme accounting for the chemical composition of desert soils, we study the direct radiative forcing globally and regionally, considering solar and terrestrial radiation. Our results indicate positive and negative forcings, depending on the region. The predominantly negative forcing at the top of the atmosphere over large parts of the dust belt, from West Africa to East Asia, attains a maximum of about −2 W m−2 south of the Sahel, in contrast to a positive forcing over India. Globally averaged, these forcings partially counterbalance, resulting in a net negative forcing of −0.05 W m−2, which nevertheless represents a considerable fraction (40 %) of the total dust forcing.
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36

Emmerechts, J., and M. F. Hoylaerts. "The effect of air pollution on haemostasis." Hämostaseologie 32, no. 01 (2012): 5–13. http://dx.doi.org/10.5482/ha-1179.

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SummaryAmbient environmental air pollutants include gaseous and particulate components. In polluted air, especially particulate matter seems responsible for cardiovascular complications: It consists of a heterogeneous mixture of solid and liquid particles with different diameters ranging from large thoracic to ultrafine particles, with a diameter < 100 nm. Ultrafines can penetrate deeply into the lung to deposit in the alveoli. Cardiovascular manifestations result both from short-term and long-term exposure and have been linked to interference with the autonomic nervous system, direct translocation into the systemic circulation, pulmonary inflammation and oxidative stress. Thrombotic complications associated with air pollution comprise arterial and probably venous thrombogenicity.This review describes the existing epidemiological and experimental evidence to explain the rapid induction of myocardial infarction within 1–2 hours after exposure to polluted air and advances several explanations as to why more chronic exposure will lead to enhanced venous thrombogenicity. Mechanisms such as platelet activation, endothelial dysfunction, coagulation factor changes and microvesicle production are discussed.
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37

Pérez-Rodrı́guez, J. L., C. Maqueda, M. C. Jiménez de Haro, and P. Rodrı́guez-Rubio. "Effect of pollution on polychromed ceramic statues." Atmospheric Environment 32, no. 6 (March 1998): 993–98. http://dx.doi.org/10.1016/s1352-2310(97)00337-3.

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38

樊, 孝华. "Effect of Ozone Denitrification on Ozone Pollution." Advances in Environmental Protection 09, no. 02 (2019): 190–93. http://dx.doi.org/10.12677/aep.2019.92028.

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39

LUO, Hongbing, Lin LUO, Gu HUANG, Ping LIU, Jingxian LI, Sheng HU, Fuxiang WANG, Rui XU, and Xiaoxue HUANG. "Total pollution effect of urban surface runoff." Journal of Environmental Sciences 21, no. 9 (January 2009): 1186–93. http://dx.doi.org/10.1016/s1001-0742(08)62402-x.

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40

Palmer, C. Mervin. "THE EFFECT OF POLLUTION ON RIVER ALGAE." Annals of the New York Academy of Sciences 108, no. 2 (December 15, 2006): 389–95. http://dx.doi.org/10.1111/j.1749-6632.1963.tb13393.x.

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41

KATZ, A. H., H. M. KATZ, and L. M. GONZALEZ. "Quantification of Tributary Effect on Pollution Abatement." Annals of the New York Academy of Sciences 494, no. 1 Third Colloqu (May 1987): 430–31. http://dx.doi.org/10.1111/j.1749-6632.1987.tb29591.x.

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42

Asih, Akas Yekti Pulih, Abdul Muhith, Abdul Hakim Zakkiy Fasya, and H. Hermanto. "Cu (Cuprum) Pollution Effect from Shrimp Processing." IOP Conference Series: Earth and Environmental Science 519 (July 7, 2020): 012017. http://dx.doi.org/10.1088/1755-1315/519/1/012017.

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43

Cataletto, Mary. "Environmental Pollution and Its Effect on Children." Pediatric Allergy, Immunology, and Pulmonology 29, no. 3 (September 2016): 109–10. http://dx.doi.org/10.1089/ped.2016.29010.mc.

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44

Bayne, B. L. "Cellular and physiological measures of pollution effect." Marine Pollution Bulletin 16, no. 4 (April 1985): 127–28. http://dx.doi.org/10.1016/0025-326x(85)90001-3.

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45

Dzhamalov, R. G., and V. L. Zlobina. "Precipitation pollution effect on groundwater hydrochemical regime." Environmental Geology 25, no. 1 (February 1995): 65–68. http://dx.doi.org/10.1007/bf01061831.

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46

Su, Yi, and Yue-qi Yu. "Spatial association effect of regional pollution control." Journal of Cleaner Production 213 (March 2019): 540–52. http://dx.doi.org/10.1016/j.jclepro.2018.12.121.

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47

Lawaniya, Pinky, Soumya Sinha, and Ravinder Kumar. "Effect of pollution on predator-prey systems." International Journal of Dynamical Systems and Differential Equations 11, no. 3/4 (2021): 359. http://dx.doi.org/10.1504/ijdsde.2021.117362.

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48

Mehta, Rekha. "POLLUTION AND ITS EFFECT ON DEWAS ENVIRONMENT." International Journal of Research -GRANTHAALAYAH 3, no. 9SE (September 30, 2015): 1–2. http://dx.doi.org/10.29121/granthaalayah.v3.i9se.2015.3162.

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From the age old period, man & environment have been an integral part each other. Over the years hence has been a spreading of environmental consciousness. The current focus on environment is not new is it has been a part of Indian culture for a long time. But various change have a shock the balance both human life & environment. One of the major the environment is water pollution. The main source of water pollution are sewage, increasingpollution density,dumping of agriculture of and industrial waste reduce flow of water in to lakes due to withdrawal for irrigation and cultivation and inversion of idols during festivals. Fresh water lakes, river & ground water get contaminated and in turn, there is storage in the supply of drinking water crop get infected. People contract diseases like, dysentery, indigestion,skin irritation which some times proves fatal.
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49

Lawaniya, Pinky, Ravinder Kumar, and Soumya Sinha. "Effect of pollution on predator-prey systems." International Journal of Dynamical Systems and Differential Equations 11, no. 3/4 (2021): 359. http://dx.doi.org/10.1504/ijdsde.2021.10040328.

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50

Lyu, Shoujun, Xingchi Shen, and Yujie Bi. "The Dually Negative Effect of Industrial Polluting Enterprises on China’s Air Pollution: A Provincial Panel Data Analysis Based on Environmental Regulation Theory." International Journal of Environmental Research and Public Health 17, no. 21 (October 26, 2020): 7814. http://dx.doi.org/10.3390/ijerph17217814.

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Abstract:
Although the Chinese government has promulgated a series of policies to mitigate air pollution, the air quality in a number of Chinese cities still has the potential to be improved. As the major source of air pollution, enterprises in the industrial and energy sectors are the most difficult to regulate in terms of polluting emissions. This paper aims to investigate what factors influence the intensity of environmental regulations on polluting enterprises based on environmental regulation theory and an empirical test. Firstly, this article builds a theoretic model of optimal regulation supply for local governments in order to examine the relationship between factors influencing the intensity of environmental regulation. Secondly, we use provincial panel data from 2008 to 2015 to test the theoretical hypothesis and use the generalized method of moments (GMM), the two-stage least squares (2SLS) method to address the endogeneity issue. The main finding of the study is that, in regions with a high concentration of polluting enterprises, not only is there more air pollution than in other regions, but the local governments might show partiality towards the polluting enterprises, which could impede the implementation of environmental regulation.
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