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Journal articles on the topic 'Environmental indices'

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Published: 4 June 2021
Last updated: 29 January 2023

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1

Harner, John, Kee Warner, John Pierce, and Tom Huber. "Urban Environmental Justice Indices." Professional Geographer 54, no. 3 (August 2002): 318–31. http://dx.doi.org/10.1111/0033-0124.00333.

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2

Alberti, Marina, and Jonathan D. Parker. "Indices of environmental quality." Environmental Impact Assessment Review 11, no. 2 (June 1991): 95–101. http://dx.doi.org/10.1016/0195-9255(91)90026-g.

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3

Blauvelt, Robert P. "Systematizing Environmental Indicators and Indices." Journal of Environment and Ecology 5, no. 1 (March 25, 2014): 15. http://dx.doi.org/10.5296/jee.v5i1.4864.

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4

Puglia, Virgilio. "Energy indices for environmental sustainability." International Journal of Technology Marketing 8, no. 1 (2013): 44. http://dx.doi.org/10.1504/ijtmkt.2013.051952.

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5

Silvert, William. "Fuzzy indices of environmental conditions." Ecological Modelling 130, no. 1-3 (June 2000): 111–19. http://dx.doi.org/10.1016/s0304-3800(00)00204-0.

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6

MANOLIADIS, ODYSSEUS G. "Environmental Indices In Irrigation Management." Environmental Management 28, no. 4 (May 17, 2001): 497–504. http://dx.doi.org/10.1007/s002670010239.

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7

Souza, Léa Cristina Lucas de, and Mariene Benutti Giunta. "Urban indices as environmental noise indicators." Computers, Environment and Urban Systems 35, no. 5 (September 2011): 421–30. http://dx.doi.org/10.1016/j.compenvurbsys.2011.06.001.

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8

Bellenger, Moriah J., and Alan T. Herlihy. "An economic approach to environmental indices." Ecological Economics 68, no. 8-9 (June 2009): 2216–23. http://dx.doi.org/10.1016/j.ecolecon.2009.04.004.

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9

Hoare, Anthony G. "A note on international environmental indices." Global Environmental Change 3, no. 4 (December 1993): 357–68. http://dx.doi.org/10.1016/0959-3780(93)90024-f.

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10

Parker, Jonathan. "Environmental Assessment: Two Conferences on Environmental Indicators and Indices." Environment: Science and Policy for Sustainable Development 33, no. 5 (June 1991): 41–43. http://dx.doi.org/10.1080/00139157.1991.9931396.

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11

Binek, A., and M. Moś. "Genotype and environmental interaction of certain indices of dormancy in winter wheat." Plant, Soil and Environment 51, No. 9 (November 19, 2011): 390–96. http://dx.doi.org/10.17221/3602-pse.

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On the basis of five statistical parameters the stability of three dormancy indices, i.e. germinability, germination rate and dormancy index, has been determined 10 days after harvest at temperatures of 25&deg;C. The object of the research included seeds of 12 winter wheat cultivars harvested in the years 1997&ndash;2003. In spite of significant genotype x environmental interactions accounting for 23.8&ndash;50.6% of the total variation, a significant differentiation between all the indices was found. Among the investigated cultivars a low level of dormancy was observed in the cultivars Wanda, Juma and Begra (germinability 83&ndash;92%, dormancy index 7.7&ndash;9.5), while evident dormancy was found in the cultivars Elena, Izolda, Almari, Mikon and Kobra (germinability 44&ndash;58%, dormancy index 21.3&ndash;32.2). The cultivars showing deep dormancy were characterized by lower stability of both the indices. The cultivars strongly reacting to the seasonal variation (b<sub>1</sub> &gt; 1), in respect of the three indices, were Sakwa, Kobra, Mikon and Elena. High consistency of the stability parameters was found between ecovalence and mean square of deviations from regression (r = 0.87**&ndash;0.98**) and between the linear regression coefficient and the coefficient of determination (r = 0.69*&ndash;0.86**).
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12

Smirnova, Tatyana M., P. I. Melnichenko, N. I. Prokhorov, and V. N. Krutko. "HOW INFORMATIVE IS THE ENVIRONMENTAL RATING OF THE REGIONS OF THE RUSSIAN FEDERATION." Hygiene and sanitation 98, no. 11 (November 15, 2019): 1222–27. http://dx.doi.org/10.18821/0016-9900-2019-98-11-1222-1227.

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Introduction. All-Russian public organization "Green patrol" has developed a method of expert evaluation of environmental well-being. Since 2008 this method is used to calculate the environmental rating of regions of Russia. The ideology of rating takes into account the principles of sustainable development, in accordance with the Declaration of the UN Conference on environment and development. The consolidated environmental index includes three basic indices characterizing the state of the ecosphere, technosphere, and society. The purpose of article is to assess the relevance of environmental rating of regions of Russia and its basic components to population health indices and therefore to assess the opportunities to use this rating for the prediction the environmental risks to human health. Material and methods. We used data from the Federal State statistics service on morbidity, mortality and life expectancy in regions of Russia in 2008-2016, as well as environmental monitoring data for the same period, published by the "Green patrol". To evaluate the relationships between indicуs we used Spearman's rank correlation coefficient. Results. None of the indeces of the population health showed a correlation with consolidated environmental index with significance level p < 0.05. The environmental index, which reflects the basic pollution levels of the environment, naturally had negative correlation coefficients with indeces of morbidity and mortality. Socio-economic and industrial-economic indices have identified a number of paradoxical correlations with health indices. This result is probably because the structure of these indices includes indicators reflecting the intensity of efforts to minimize industrial pollution and improve the quality of life of the population. This intensity is obviously higher the higher the need for it, so these indices indirectly reflect environmental disadvantage. Conclusion. The results of the analysis showed a lack of informative value of the environmental rating of Russia's regions in terms of population health.
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13

Ebert, Udo, and Heinz Welsch. "Meaningful environmental indices: a social choice approach." Journal of Environmental Economics and Management 47, no. 2 (March 2004): 270–83. http://dx.doi.org/10.1016/j.jeem.2003.09.001.

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14

Gibson, Martin, Alan J. Murphy, and Kayvan Pazouki. "Evaluation of environmental performance indices for ships." Transportation Research Part D: Transport and Environment 73 (August 2019): 152–61. http://dx.doi.org/10.1016/j.trd.2019.07.002.

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15

Zaikova, Zoya A., A. V. Burdukovskaya, and A. I. Belykh. "Determination of priority unfavorable environmental factors." Hygiene and sanitation 95, no. 12 (October 28, 2019): 1205–9. http://dx.doi.org/10.18821/0016-9900-2016-95-12-1205-1209.

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In the Irkutsk region there are recorded high indices of rates of morbidity, disability, mortality rate of the working-age population and low levels of life expectancy of the population, that is confirmed by ranking position levels among the all subjects of the Russian Federation. According to all mentioned indices of health the region is inside the top ten unfavorable regions of Russia. In relation to the problem in the state of health of the adult population the estimation of the causal relationships between environmental factors and certain health indices is actual. The list of studiedfactors included health indices that characterize the harmful working conditions of the working population and basic socioeconomic indices in the region. Estimation of causal-relationship relationships was performed with the use of methods of multivariate analysis - correlation and multiple linear regression. In the selection offactors for the construction of mathematical models of multiple regression there were used methods of the analysis of variables variability, pair correlation coefficients matrix and sequential switching covariates to eliminate the problems of multicollinearity, pre-standardization of indices for the elevation of the numerical stability of regression analysis algorithm. As a result of the execution of the analysis there were constructed statistical models for the dependence in the system variables “environment - public health”, which allowed to identify the most informative regression models for the adult population health according to indices of primary disability of the population, the mortality rate and life expectancy of the working age population. According to results of the analysis there were identified priority factors affecting on the health of the adult population of the Irkutsk region. To these factors there are referred the proportion of workplaces failing to meet sanitary standards for vibration and 8 socio-economic indices of living standards of the population.
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16

de Sousa Gabriel, Vítor Manuel, and David Rodeiro-Pazos. "Environmental Investment Versus Traditional Investment: Alternative or Redundant Pathways?" Organization & Environment 33, no. 2 (July 15, 2018): 245–61. http://dx.doi.org/10.1177/1086026618783749.

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Considering the short- and long-term equilibrium between indices, the present article analyses the relationship of two segments of stock markets: environmentally sustainable investment and traditional indices. We used Johansen cointegration tests and a multivariate model of conditioned heteroscedasticity on seven stock indices: five corresponding to segments of environmental investment, namely, regarding alternative energy, clean technology, green building, sustainable water, and pollution prevention, and two indices representative of traditional stock market segments, whose philosophy is based on a purely financial logic. The period considered was 8 years. Our result shows that in the long term, the pattern of behaviour of environmental indices differed from traditional indices, and no equilibrium relationships were identified. In the short term, the two groups of indices reported very similar behaviour, with the daily dynamics being determined fundamentally by cross-market factors.
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17

Vilbaste, Sirje, Jaak Truu, Ülle Leisk, and Arvo Iital. "Species composition and diatom indices in relation to environmental parameters in Estonian streams." River Systems 17, no. 3-4 (November 6, 2007): 307–26. http://dx.doi.org/10.1127/lr/17/2007/307.

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18

Wheeler, Benedict W. "Health-Related Environmental Indices and Environmental Equity in England and Wales." Environment and Planning A: Economy and Space 36, no. 5 (May 2004): 803–22. http://dx.doi.org/10.1068/a3691.

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19

Sebbah, Boutaina, Otmane Yazidi Alaoui, Miriam Wahbi, Mustapha Maâtouk, and Nizar Ben Achhab. "QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data." Environmental Modelling & Software 137 (March 2021): 104972. http://dx.doi.org/10.1016/j.envsoft.2021.104972.

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20

Berestenko, E. D., A. A. Zheltikov, Yuriy Ivanovich Grigor'ev, E. D. Berestenko, A. A. Zheltikov, and Y. I. Grigoryev. "EFFECT OF ENVIRONMENTAL CONDITIONS ON ANTHROPOMETRIC GIRLS INDICES." I.P.Pavlov Russian Medical Biological Herald 18, no. 4 (December 15, 2010): 62. http://dx.doi.org/10.17816/pavlovj2010462-67.

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21

Discoli, Carlos A. "Urban environmental impact matrices development: assessment indices incorporation." Building and Environment 40, no. 7 (July 2005): 915–28. http://dx.doi.org/10.1016/j.buildenv.2004.08.014.

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22

Zhou, P., M. A. Delmas, and A. Kohli. "Constructing meaningful environmental indices: A nonparametric frontier approach." Journal of Environmental Economics and Management 85 (September 2017): 21–34. http://dx.doi.org/10.1016/j.jeem.2017.04.003.

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23

Hope, Chris, and Jonathan Parker. "Environmental indices for France, Italy and the UK." European Environment 5, no. 1 (January 1995): 13–19. http://dx.doi.org/10.1002/eet.3320050104.

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24

Kang, Sang Mok, Myeong Soo Kim, and Myunghun Lee. "The trends of composite environmental indices in Korea." Journal of Environmental Management 64, no. 2 (February 2002): 199–206. http://dx.doi.org/10.1006/jema.2001.0529.

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25

Kurnoga, Nataša, Nika Šimurina, and Filip Fučkan. "Performance Differences between ESG Indices and Conventional Market Indices: a Multivariate Analysis of Indices." Zagreb International Review of Economics and Business 25, s1 (December 1, 2022): 85–103. http://dx.doi.org/10.2478/zireb-2022-0026.

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Abstract This paper aims to identify performance differences between conventional European equity indices and ESG indices. Conventional European equity indices are tools both institutional and retail investors use to understand the overall state of the market, as well as a benchmark for comparing investment decisions. ESG indices or sustainability indices are different from conventional market indices and can provide information to investors about the firm’s sustainability performance, they are new and constantly developing stock market indices taking into account environmental, social, and governance considerations. The indices were analysed by multivariate analysis. Since we could collect data by country only for conventional indices, cluster analysis based only on those indices was performed. The following variables of conventional indices were analysed: year-to-date price return, annualized 3-year price return, annualized 5-year price return, and annualized 10-year price return. The paper also compares ESG indices and conventional indices, and in most cases, they have no significant performance differences.
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26

Lippmann, Morton. "Asbestos exposure indices." Environmental Research 46, no. 1 (June 1988): 86–106. http://dx.doi.org/10.1016/s0013-9351(88)80061-6.

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27

Rehman, Ramiz ur, Muhammad Zain ul Abidin, Rizwan Ali, Safwan Mohd Nor, Muhammad Akram Naseem, Mudassar Hasan, and Muhammad Ishfaq Ahmad. "The Integration of Conventional Equity Indices with Environmental, Social, and Governance Indices: Evidence from Emerging Economies." Sustainability 13, no. 2 (January 12, 2021): 676. http://dx.doi.org/10.3390/su13020676.

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This study investigates the integration of environmental, social, and governance (ESG) equity indices with conventional indices in Brazil, Russia, India, China, and South Africa (BRICS) individually and across all BRICS countries to better understand regional economic cooperation. Accordingly, we look at daily returns from 13 July 2013 to 28 February 2018 for the Morgan Stanley Capital International (MSCI) ESG indices and MSCI composite indices of the respective countries. To analyze the integration between the ESG equity indices of the sampled countries with their regional and across regional conventional counterparts, the Johansen Co-integration test is employed in this study. Further, the vector error correction model (VECM) is applied to test the causality between the sampled time-series. The impulse response function analysis further explains the impulse responses of each country’s MSCI ESG returns to one standard deviation of innovations to MSCI composite returns of the same country and across countries. Finally, the extent of the MSCI composite returns’ impact on the MSCI ESG returns in the same country indices, and cross-regional indices is examined with variance decomposition analysis. The results suggest that all ESG equity indices are integrated with conventional indices in all BRICS countries. Furthermore, there is a short-or long-run causality between MSCI ESG and MSCI composite equity indices of China and South Africa. Moreover, the study finds only short-run causality between conventional and non-conventional equity indices of Brazil and Russia, whereas we find only long-run causality between India’s non-conventional and conventional equity indices. Finally, the study finds that the all-individual country MSCI ESG equity indices shows a long-run causality with MSCI composite equity indices of all other BRICS countries. The findings also confirm the economic and financial cooperation between the BRICS countries.
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28

Jiménez-Lacarra, Vanesa, Eduardo Martínez-Cámara, Jacinto Santamaría-Peña, Emilio Jiménez-Macías, Agostino Bruzzone, and Julio Blanco-Fernández. "Environmental Efficiency Indices in the Public Hospital Sector: A Proposal." Applied Sciences 12, no. 16 (August 13, 2022): 8120. http://dx.doi.org/10.3390/app12168120.

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In the past decades, the use of indices and indicators to report on the environmental performance of organisations has increased exponentially. However, the available studies did not address the topic of obtaining indicators that show the environmental behaviour of the health sector. The main objective of this research, therefore, was aimed at the calculation of environmental efficiency indices in the hospital sector, taking a regional hospital as a case study and considering the environmental aspects identified during the development of its healthcare activity in 2019. The results obtained provided information on the potential environmental impacts triggered by every aspect of the operation of a hospital in the course of its activities that focus on patient care. The results demonstrated that the aspects related to transportation of patients, workers, and materials had the greatest impact on the global environmental indices we calculated. For the environmental efficiency indices of hospital activities, the most significant environmental aspects were materials consumption and waste generation.
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29

Chen, Hui-Ling, Jason Chen-Chieh Fang, Chia-Jung Chang, Ti-Feng Wu, I.-Kuan Wang, Jen-Fen Fu, Ya-Ching Huang, Ju-Shao Yen, Cheng-Hao Weng, and Tzung-Hai Yen. "Environmental Cadmium Exposure and Dental Indices in Orthodontic Patients." Healthcare 9, no. 4 (April 2, 2021): 413. http://dx.doi.org/10.3390/healthcare9040413.

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Background. Previous studies have shown that environmental cadmium exposure could disrupt salivary gland function and is associated with dental caries and reduced bone density. Therefore, this cross-sectional study attempted to determine whether tooth decay with tooth loss following cadmium exposure is associated with some dental or skeletal traits such as malocclusions, sagittal skeletal pattern, and tooth decay. Methods. Between August 2019 and June 2020, 60 orthodontic patients with no history of previous orthodontics, functional appliances, or surgical treatment were examined. The patients were stratified into two groups according to their urine cadmium concentrations: high (>1.06 µg/g creatinine, n = 28) or low (<1.06 µg/g creatinine, n = 32). Results. The patients were 25.07 ± 4.33 years old, and most were female (female/male: 51/9 or 85%). The skeletal relationship was mainly Class I (48.3%), followed by Class II (35.0%) and Class III (16.7%). Class I molar relationships were found in 46.7% of these patients, Class II molar relationships were found in 15%, and Class III molar relationships were found in 38.3%. The mean decayed, missing, and filled surface (DMFS) score was 8.05 ± 5.54, including 2.03 ± 3.11 for the decayed index, 0.58 ± 1.17 for the missing index, and 5.52 ± 3.92 for the filled index. The mean index of complexity outcome and need (ICON) score was 53.35 ± 9.01. The facial patterns of these patients were within the average low margin (26.65 ± 5.53 for Frankfort–mandibular plane angle (FMA)). There were no significant differences in the above-mentioned dental indices between patients with high urine cadmium concentrations and those with low urine cadmium concentrations. Patients were further stratified into low (<27, n = 34), average (27–34, n = 23), and high (>34, n = 3) FMA groups. There were no statistically significant differences in the urine cadmium concentration among the three groups. Nevertheless, a marginally significant p-value of 0.05 for urine cadmium concentration was noted between patients with low FMA and patients with high FMA. Conclusion. This analysis found no association between environmental cadmium exposure and dental indices in our orthodontic patients.
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30

Stige, LC, ME Hunsicker, KM Bailey, NA Yaragina, and Jr Hunt GL. "Predicting fish recruitment from juvenile abundance and environmental indices." Marine Ecology Progress Series 480 (April 22, 2013): 245–61. http://dx.doi.org/10.3354/meps10246.

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31

Taylor, Jeanette, Chelsea R. Ennis, Sara A. Hart, Amy J. Mikolajewski, and Christopher Schatschneider. "Home environmental and behavioral risk indices for reading achievement." Learning and Individual Differences 57 (July 2017): 9–21. http://dx.doi.org/10.1016/j.lindif.2017.05.010.

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32

Hill, Russel A., Tony Weingrill, Luise Barrett, and S. Peter Henzi. "Indices of environmental temperatures for primates in open habitats." Primates 45, no. 1 (January 1, 2004): 7–13. http://dx.doi.org/10.1007/s10329-003-0054-8.

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33

Hill, Russell A., Tony Weingrill, Louise Barrett, and S. Peter Henzi. "Indices of environmental temperatures for primates in open habitats." Primates 45, no. 2 (April 1, 2004): 155. http://dx.doi.org/10.1007/s10329-004-0078-8.

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34

Sio-Se Mardeh, A., A. Ahmadi, K. Poustini, and V. Mohammadi. "Evaluation of drought resistance indices under various environmental conditions." Field Crops Research 98, no. 2-3 (August 2006): 222–29. http://dx.doi.org/10.1016/j.fcr.2006.02.001.

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35

Ajmal Khan, Syed. "Tools for Environmental Impact Assessment (EIA) Using Diversity Indices." Vingnanam Journal of Science 12, no. 1-2 (January 30, 2017): 1. http://dx.doi.org/10.4038/vingnanam.v12i1-2.4119.

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36

Uhler, A. D., and S. D. Emsbo-Mattingly. "Environmental Stability of PAH Source Indices in Pyrogenic Tars." Bulletin of Environmental Contamination and Toxicology 76, no. 4 (April 2006): 689–96. http://dx.doi.org/10.1007/s00128-006-0975-1.

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37

Jiao, Limin, Gang Xu, Jianfei Jin, Ting Dong, Jiafeng Liu, Yanxi Wu, and Boen Zhang. "Remotely sensed urban environmental indices and their economic implications." Habitat International 67 (September 2017): 22–32. http://dx.doi.org/10.1016/j.habitatint.2017.06.012.

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38

Ortega-Gaucin, David, Jesús de la Cruz Bartolón, and Heidy Castellano Bahena. "Drought Vulnerability Indices in Mexico." Water 10, no. 11 (November 16, 2018): 1671. http://dx.doi.org/10.3390/w10111671.

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Drought is one of the most harmful hydro climatic threats to society. Mexico has been historically affected by recurring and long-lasting droughts that have severely impacted society and the economy. Consequently, public programs and policies have been developed in order to reduce the country’s vulnerability to drought, hence the importance of identifying the spatial distribution and the dimension—even in relative terms only—of vulnerability in different regions from social, economic, and environmental perspectives. This article presents a method for obtaining indices and maps of vulnerability to drought in Mexico; indices and maps are based on a set of socioeconomic and environmental indicators that the method combines using an objective analytic procedure that identifies the most vulnerable states and municipalities from social, economic, and environmental perspectives, all of which converge in overall vulnerability to drought. The results obtained indicate that 38.9% of total Mexican population inhabits municipalities with high and very high degrees of overall vulnerability to drought. For this reason, it is necessary to continue implementing actions and preventive and mitigation strategies via public policies and social programs aimed at decreasing the country’s vulnerability to the occurrence of drought events. This is the only way to facilitate the necessary conditions to reduce the impact of drought and to decrease people’s vulnerability to this phenomenon.
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39

Hodgdon, Cameron T., Kisei R. Tanaka, Jocelyn Runnebaum, Jie Cao, and Yong Chen. "A framework to incorporate environmental effects into stock assessments informed by fishery-independent surveys: a case study with American lobster (Homarus americanus)." Canadian Journal of Fisheries and Aquatic Sciences 77, no. 10 (October 2020): 1700–1710. http://dx.doi.org/10.1139/cjfas-2020-0076.

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Stock assessments for a majority of the world’s fisheries often do not explicitly consider the effects of environmental conditions on target species, which can raise model uncertainty and potentially reduce forecasting quality. Model-based abundance indices were developed using a delta generalized linear mixed model that incorporates environmental variability for use in stock assessment to understand how the incorporation of environmental variability impacts our understanding of population dynamics. For this study, multiple model-based abundance indices were developed to test the incorporation of environmental covariates in a length-structured assessment of the American lobster (Homarus americanus) stock in the Gulf of Maine – Georges Bank on the possible improvement of stock assessment quality. Comparisons reveal that modelled indices with environmental covariates appear to be more precise than traditional indices, but model performance metrics and hindcasted fishery statuses revealed that these improvements to indices may not necessarily mean an improved assessment. Model-based abundance indices are not intrinsically better than design-based indices and should be tested for each species individually.
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40

García-Jiménez, Carlos I., Yalma L. Vargas-Rodriguez, Brenda Yarely Quiroz-Caro, and Karina García-Valadez. "An Assessment of Environmental Knowledge in a Highly Biodiverse Mountainous Region of Mexico." Forests 13, no. 2 (January 22, 2022): 165. http://dx.doi.org/10.3390/f13020165.

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The environmental knowledge of inhabitants residing in a highly biodiverse mountainous region of western Mexico with an important economic forestry sector was investigated. Indices of environmental knowledge, by average and through a factor analysis, were developed and characterized using survey data collected in 2018 and 2021. These indices showed high levels of correlation, and followed similar patterns of distributions. Ordinary least squares and quantile regressions were used to examine social, economic, demographic, and perceptions as determinant factors of the generated indices. Age and education were repeatedly found as important factors influencing environmental knowledge, while income and gender were consistently not significant factors. Furthermore, environmental knowledge was related to quality of life. The index developed by factor analysis generated more significantly stable parameter results across percentiles of environmental knowledge. The indices were recommended for monitoring environmental knowledge in long term studies.
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41

Tebaldi, C., A. Armbruster, H. P. Engler, and R. Link. "Emulating climate extreme indices." Environmental Research Letters 15, no. 7 (June 23, 2020): 074006. http://dx.doi.org/10.1088/1748-9326/ab8332.

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42

Tang, Yanhong, and Xiangyang Deng. "Economic and Environmental Impacts of Geothermal Resource Development in Hunan, China." International Journal of Heat and Technology 39, no. 2 (April 30, 2021): 581–86. http://dx.doi.org/10.18280/ijht.390228.

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The global warming and soaring energy consumption have motivated many scholars and policymakers to pursue energy conservation and environmental improvement. As a renewable cleaning energy, geothermal resources have been actively developed in recent years. Taking six geothermal projects in Hunan, China as examples, this paper determines the input and output indices for each project. The input indices cover both economic and environmental dimensions. Then, the authors deeply explored how much geothermal resource quantity, single-well yield, total investment, and annual cost investment influence dynamic investment recovery period, coal reduction of summer operation, coal reduction of winter operation, environmental protection and energy saving, standard coal reduction, and emission reduction. The results show that total investment, single-well yield, and total investment have significant effects on economic indices, while geothermal resource quantity, single-well yield, and total investment have significant effects on environmental indices.
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43

Lent, Robert M., Peter K. Weiskel, Forest P. Lyford, and David S. Armstrong. "Hydrologic indices for nontidal wetlands." Wetlands 17, no. 1 (March 1997): 19–30. http://dx.doi.org/10.1007/bf03160715.

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44

NAKAGUCHI, Takahiro. "The Development of Natural Environmental Indices to Set Targets for a Local Environmental Plan." Geographical Review of Japa,. Ser. A, Chirigaku Hyoron 72, no. 2 (1999): 93–115. http://dx.doi.org/10.4157/grj1984a.72.2_93.

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45

Mikołajek-Gocejna, Magdalena. "The Environmental, Social and Governance Aspects of Social Responsibility Indices – A Comparative Analysis of European SRI Indices." Comparative Economic Research. Central and Eastern Europe 21, no. 3 (September 18, 2018): 25–44. http://dx.doi.org/10.2478/cer-2018-0017.

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An increasing number of investors want to invest their capital not only with profit but also responsibly, and they pay significant attention to the formula of socially responsible investing (SRI), which means that they consciously engage their funds in companies operating in accordance with CSR principles. An important influence on the development of CSR is the role of stock exchange indices on socially responsible companies. These indices can be considered specific tools for adapting this concept in practice, in particular in the field of socially responsible investment. This article provides a comparative analysis of the social, environmental and governance criteria underlying the definition of the composition of selected European SRI indices. The research will cover the following indices: the DJSI Europe Index, the FTSE4Good Europe 40, the FTSE4Good Europe 50, the EURO STOXX Sustainability 40 and the Solactive Sustainability Index Europe. This paper also intends to set an index reflecting the degree to which companies of certain European countries are represented in major European SRI indices. Consequently, global and national initiatives and ratings were excluded, as well as sector‑and industry‑specific initiatives and ratings. The proposed index is standardized by introducing the GDP of each country into the calculation formula as a way to a achieve comparable result. We believe that the proposed metric will reflect the state of the art in SRI and provide an overall picture of SRI practices across nations.
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BAN, Nobuhiko, Tomoko KUSAMA, and Yasuo YOSHIZAWA. "Quantitative estimation of indices of harms of radiation and other environmental agents and comparison of estimated indices." Japanese Journal of Health Physics 24, no. 2 (1989): 115–21. http://dx.doi.org/10.5453/jhps.24.115.

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Pleasant, Andrew, Jennifer Good, James Shanahan, and Brad Cohen. "The literature of environmental communication." Public Understanding of Science 11, no. 2 (April 2002): 197–205. http://dx.doi.org/10.1088/0963-6625/11/2/306.

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This paper examines the growth and development of the literature of “environmental communication” research. The paper collects citations of all papers matching specified keywords covering environmental communication topics in the social science journal literature from relevant indices. The indices used were: the Institute for Scientific Information's (ISI) Social Sciences Citation Index (Web of Science), the ISI Arts and Humanities Citation Index (Web of Science), Communication Abstracts, PsycINFO, Anthropological Literature, Sociology Abstracts and Periodical Abstracts (Pro-Quest Direct). The paper analyzes the collected citations for journal of publication, date, and frequency of publication by year, author, and keywords and topics. The paper shows what topics of attention, what fields, and what journals have been interested in publishing environmental communication research, and some of the authors leading the way. In addition, basic topics of interest for environmental communication research are discerned. The literature review shows the need for a more centralized point of publication for environmental communication research.
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Nakaguchi, Takahiro. "Evaluation of Future Land Use Goals by Natural Environmental Indices." Journal of the City Planning Institute of Japan 33 (1998): 817–22. http://dx.doi.org/10.11361/journalcpij.33.817.

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Okumura, Tameo. "Retention Indices of Environmental Chemicals on Methyl Silicone Capillary Column." Journal of Environmental Chemistry 1, no. 2 (1991): 333–58. http://dx.doi.org/10.5985/jec.1.333.

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Bradfer‐Lawrence, Tom, Nick Gardner, Lynsey Bunnefeld, Nils Bunnefeld, Stephen G. Willis, and Daisy H. Dent. "Guidelines for the use of acoustic indices in environmental research." Methods in Ecology and Evolution 10, no. 10 (July 29, 2019): 1796–807. http://dx.doi.org/10.1111/2041-210x.13254.

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