An Application of the New Environmental Paradigm (NEP) Scale in a Greek Context

Ntanos, Stamatiοs; Kyriakopoulos, Grigorios L.; Skordoulis, Michalis; Chalikias, Miltiadis; Arabatzis, Garyfallos

doi:10.3390/en12020239

Cited by 118 publications

(99 citation statements)

References 30 publications

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“…In previous work, it was found that information attainment, the degree of eco-consciousness and the perceived benefits of green investments are positively associated with accepting additional financial burden for the expansion of RES [24]. In the case of Greece, feasible national energy management from diversified renewables of local abundance is taking place [23,32,45].…”

Section: Discussionmentioning

confidence: 99%

“…We evaluated a given dataset, which was previously deployed by Ntanos et al [32]. According to the methodology of Ntanos et al [32], the appropriate sample size for the creation of this dataset was calculated to be 376 respondents selected by stratified random sampling with a 95% level of confidence. The stratification was done at the municipal level by using the list of registered voters per municipality for all 27 municipalities of the area of Evia.…”

Section: Methodsmentioning

confidence: 99%

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Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

et al. 2020

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Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia in Greece via a questionnaire survey by using a sample of 360 respondents. The questions focused on the respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), small hydro parks and biomass investments. The classification algorithms of Bayesian Network classifier, Logistic Regression, Support Vector Machine (SVM), C4.5, k-Nearest Neighbors (k-NN) and Long Short Term Memory (LSTM) were used. The Bayesian Network classifier was the best method, with a prediction accuracy of 0.7942. The most important variables for the prediction of willingness to invest were the level of information, the level of acceptance and the contribution to sustainable development. Future studies should include data on state incentives and their impact on willingness to invest.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

et al. 2020

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“…More specifically, the NEP and climate change beliefs are the variables that will be examined. Based on prior research, a pro-NEP position has been found to be a consistent indicator of environmental concern and behavior [31][32][33]. The NEP has been used as a predictor of energy policy preferences [18] and water policy preferences [34,35].…”

Section: Environmental Values and Beliefsmentioning

confidence: 99%

Public Preferences for Food–Energy–Water Tradeoffs in the Western U.S.

2019

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The food–energy–water (FEW) nexus is, by definition, a “wicked problem” in that potential solutions in one sector may inadvertently create perverse effects in another. For example, rapid population growth in conjunction with increasing urbanization will add additional stress to current pressures on the world’s FEW resources. Water scarcity will increase challenges in providing plentiful foods, as well as clean, potable water. Water is also critical to energy production—and conversely—energy is needed to deliver clean, safe water. Extant and projected demand for FEW creates an intertwined problem of supply and demand and new policy considerations for managing the nexus. This study examines the FEW policy tradeoff preferences of the public in California, Idaho, Oregon and Washington states, using survey data collected in 2018. More specifically, this study examines the impact of demographic control variables, FEW knowledge, and environmental values and beliefs on hypothetical tradeoffs between FEW policy preferences. Findings suggest that those respondents that believe in human-caused climate change and with higher new ecological paradigm (NEP) scores were more supportive of water quality issues versus hydroelectric energy production, rural solar energy development versus limiting rural solar development for food production, and water quality over food production for a growing population.

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“…In Europe (EU28) there are more than 1.6 million km of illuminated streets that annually consume approximately 35 TWh) at a cost of $4 billion euro for the public authorities [2]. During the last decade there has been ongoing research activity focused on energy management using various types of renewable energy sources [3][4][5], on recycling [6], on safety [7][8][9][10], and a concentrated effort has been made for making street lighting systems sustainable [11][12][13][14][15][16][17][18][19] and environmentally friendly [20][21][22]. In addition, during the last few years, the issue of avoiding light pollution [23][24][25][26][27][28] has gained importance in technical reports [29] and expert discussions [30].…”

Section: Introductionmentioning

confidence: 99%

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

Doulos

Sioutis²,

Tsangrassoulis

et al. 2020

Energies

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Because of the absence of lighting calculation tools at the initial stage of tunnel design, the lighting systems are usually over-dimensioned, leading to over illumination and increased energy consumption. For this reason, a fine-tuning method for switching lighting stages according to the traffic weighted L20 luminance is proposed at no additional cost. The method was applied in a real –case scenario, where L20 luminance of the access zone at eleven (11) existing tunnels was calculated. The traffic weighted method of CR14380 was used in order to calculate the actual luminance levels for the entrance zone. The new transition zone, which decreases luminance curves, was produced and compared with the existing ones. Thus, a new switching control was proposed and programed for the Supervisory Control and Data Acquisition (SCADA) system of the tunnel. The signals of the corresponding eleven L20 meters for a period of eight days were used and the corresponding annual energy consumptions were calculated using the proposed switching program for each tunnel. The results were compared with a number of scenarios in which the existing lighting system was retrofitted with Lighting Emitting Diodes (LED) luminaires. In these scenarios, the new luminaire arrangement was based not only on the existing luminance demand value for the threshold zone, but also on the newly proposed one with two different control techniques (continuous dimming and 10% step dimming). The fine-tuning method for switching resulted in energy savings between 11% and 54% depending on the tunnel when the scenario of the existing installation at no extra cost was used. Energy savings, when LED luminaires were installed, varied between 57% (for the scenario with existing luminance demand value for the threshold zone and 10% step dimming) and 85% (for the scenario with the new calculated luminance demand and continuous dimming).

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An Application of the New Environmental Paradigm (NEP) Scale in a Greek Context

Cited by 118 publications

References 30 publications

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

Public Preferences for Food–Energy–Water Tradeoffs in the Western U.S.

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

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