scholarly journals Student’s Intention Towards Sustainable and Responsible Clothing Consumption

2021 ◽  
Vol 6 (3) ◽  
pp. 59-64
Author(s):  
Aisyah Dewi Muthi'ah
Keyword(s):  
Climate Change ◽  
Textile Industry ◽  
Online Survey ◽  
Factors Affecting ◽  
Sustainable Material ◽  
Demographic Profiles ◽  
Sustainable Products ◽  
Purchasing Intention ◽  
Very High ◽  
Significant Factors

The textile industry is contributing a lot to the climate change since human consumptions on textile is very high. This articles aims to measure the influence of student’s sustainability knowledge and demographic profiles to their intention on buying sustainability product. Students from the same faculty completed an online survey with a total of 315 valid response that assesed the purchasing level, reasons, priorities, as well as some sustainable behaviour that the respondent might have. An ordinal regression used with employing the SPSS 16 software and p=0.05. Results suggest that the most significant factors affecting the students purchasing intention on sustainable products was whether their consider sustainable material as priority when purchasing textile products or not.

scholarly journals Consumers’ Valuation of Farmers’ Varieties for Food System Diversity

2019 ◽  
Vol 11 (24) ◽  
pp. 7134 ◽  
Author(s):  
Claudia Meier ◽  
Bernadette Oehen
Keyword(s):  
Online Survey ◽  
Food System ◽  
Consumer Preferences ◽  
Sustainable Products ◽  
Food Diversity ◽  
Wide Range ◽  
Breeding Schemes ◽  
Increasing Demand ◽  
On Farm ◽  
Very High

To increase the diversity in the food system from seed to fork, participatory on-farm breeding schemes have been proposed. For participatory on-farm breeding schemes to be successful, consumers need to be willing to compensate farmers for their efforts in breeding and in diversifying their cultivation. Using vegetables as an example, we investigated whether consumers of four selected European countries liked the idea of having farmers breed their own varieties and whether they would be willing to pay a premium for farmers’ as compared to standard varieties in a supermarket setting. The data was collected in an online survey and a willingness to pay was elicited using a contingent valuation approach. After providing respondents with information about the problem (diversity loss), solution (on-farm breeding), and the benefits of farmers’ varieties, consumers’ acceptance was very high and consumers were willing to pay a small premium. Our findings suggest that farmers’ varieties can be appealing to a wide range of consumers if the appropriate information is provided, as they not only address the increasing demand for more sustainable products but also for more food diversity and tasty products. To our knowledge, this is the first study to examine consumer preferences for farmers’ varieties for food system diversity.

scholarly journals Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England

2020 ◽  
pp. 1-13 ◽  
Author(s):  
Daniel Freeman ◽  
Felicity Waite ◽  
Laina Rosebrock ◽  
Ariane Petit ◽  
Chiara Causier ◽  
...  
Keyword(s):  
Climate Change ◽  
General Population ◽  
Online Survey ◽  
Conspiracy Theories ◽  
The World ◽  
Conspiracy Beliefs ◽  
Antibody Tests ◽  
Very High ◽  
Reduced Adherence ◽  
Conspiracy Thinking

Abstract Background An invisible threat has visibly altered the world. Governments and key institutions have had to implement decisive responses to the danger posed by the coronavirus pandemic. Imposed change will increase the likelihood that alternative explanations take hold. In a proportion of the general population there may be strong scepticism, fear of being misled, and false conspiracy theories. Our objectives were to estimate the prevalence of conspiracy thinking about the pandemic and test associations with reduced adherence to government guidelines. Methods A non-probability online survey with 2501 adults in England, quota sampled to match the population for age, gender, income, and region. Results Approximately 50% of this population showed little evidence of conspiracy thinking, 25% showed a degree of endorsement, 15% showed a consistent pattern of endorsement, and 10% had very high levels of endorsement. Higher levels of coronavirus conspiracy thinking were associated with less adherence to all government guidelines and less willingness to take diagnostic or antibody tests or to be vaccinated. Such ideas were also associated with paranoia, general vaccination conspiracy beliefs, climate change conspiracy belief, a conspiracy mentality, and distrust in institutions and professions. Holding coronavirus conspiracy beliefs was also associated with being more likely to share opinions. Conclusions In England there is appreciable endorsement of conspiracy beliefs about coronavirus. Such ideas do not appear confined to the fringes. The conspiracy beliefs connect to other forms of mistrust and are associated with less compliance with government guidelines and greater unwillingness to take up future tests and treatment.

التغير المناخي واثره في المقنن المائي لمحصول العنب في محافظة ديالى

2019 ◽  
Vol 1 (34) ◽  
pp. 391-422
Author(s):  
اشواق حسن حميد صالح
Keyword(s):  
Climate Change ◽  
Statistical Analysis ◽  
Wind Speed ◽  
Extreme Temperature ◽  
Solar Brightness ◽  
The Subject ◽  
Climate Station ◽  
The Times ◽  
High Level ◽  
Very High

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed ​​3X Minimal Temperature and Very High Level .

Simulation of non-stationary thermal fields from a buried thermally insulated pipeline and its diagnostics

2007 ◽  
Vol 5 ◽  
pp. 127-132
Author(s):  
N.A. Vaganova
Keyword(s):  
Thermal Imaging ◽  
Software Package ◽  
Clay Soil ◽  
Underground Pipeline ◽  
Main Pipeline ◽  
Factors Affecting ◽  
Thermal Fields ◽  
Thermal Imaging Equipment ◽  
Principal Possibility ◽  
Significant Factors

To detect damage to the underground pipeline, a mathematical model, allowing to take into account the most significant Factors affecting the distribution of temperature on the day surface. To implement this model, a software package has been developed and results of numerical calculations. With the help of these calculations, in particular, It is established that modern thermal imaging equipment has a principal possibility to determine an unauthorized frame in the main pipeline at a depth of two meters in clay soil.

scholarly journals The Level of Conus Medullaris in 629 Healthy Japanese Individuals

2021 ◽  
Vol 10 (14) ◽  
pp. 3182
Author(s):  
Hiroaki Nakashima ◽  
Keigo Ito ◽  
Yoshito Katayama ◽  
Mikito Tsushima ◽  
Kei Ando ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Magnetic Resonance ◽  
Pelvic Tilt ◽  
Pelvic Incidence ◽  
Multivariate Regression Analysis ◽  
Conus Medullaris ◽  
Magnetic Resonance Images ◽  
Factors Affecting ◽  
Adult Volunteers ◽  
Significant Factors

The conus medullaris typically terminates at the L1 level; however, variations in its level and the factors associated with the conus medullaris level are unclear. We investigated the level of conus medullaris on magnetic resonance imaging in healthy volunteers. In total, 629 healthy adult volunteers (≥50 individuals of each sex and in each decade of age from 20 to 70) were enrolled. The level of the conus medullaris was assessed based on the T2-weighted sagittal magnetic resonance images, and factors affecting its level were investigated employing multivariate regression analysis including the participants’ background and radiographical parameters. L1 was the most common conus medullaris level. Participant height was significantly shorter in the caudally placed conus medullaris (p = 0.013). With respect to the radiographical parameters, pelvic incidence (p = 0.003), and pelvic tilt (p = 0.03) were significantly smaller in participants with a caudally placed conus medullaris. Multiple regression analysis showed that the pelvic incidence (p < 0.0001) and height (p < 0.0001) were significant factors affecting the conus medullaris level. These results indicated that the length of the spinal cord varies little among individuals and that skeletal differences affect the level of the conus medullaris.

Comparing respondents who passed versus failed an Instructional Manipulation Check: A case study about support for climate change policies

2021 ◽  
Vol 63 (4) ◽  
pp. 408-415
Author(s):  
Maria Rubio Juan ◽  
Melanie Revilla
Keyword(s):  
Climate Change ◽  
External Validity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Manipulation Check ◽  
Climate Change Policies ◽  
Instructional Manipulation ◽  
Using Data

The presence of satisficers among survey respondents threatens survey data quality. To identify such respondents, Oppenheimer et al. developed the Instructional Manipulation Check (IMC), which has been used as a tool to exclude observations from the analyses. However, this practice has raised concerns regarding its effects on the external validity and the substantive conclusions of studies excluding respondents who fail an IMC. Thus, more research on the differences between respondents who pass versus fail an IMC regarding sociodemographic and attitudinal variables is needed. This study compares respondents who passed versus failed an IMC both for descriptive and causal analyses based on structural equation modeling (SEM) using data from an online survey implemented in Spain in 2019. These data were analyzed by Rubio Juan and Revilla without taking into account the results of the IMC. We find that those who passed the IMC do differ significantly from those who failed for two sociodemographic and five attitudinal variables, out of 18 variables compared. Moreover, in terms of substantive conclusions, differences between those who passed and failed the IMC vary depending on the specific variables under study.

scholarly journals Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi
Keyword(s):  
Climate Change ◽  
Total Yield ◽  
Policy Formulation ◽  
Farm Size ◽  
Farm Income ◽  
Adaptation To Climate Change ◽  
Maize Crop ◽  
Factors Affecting ◽  
Agroforestry Technology ◽  
Agroforestry Technologies

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.

scholarly journals Demographic and psychological predictors of alcohol use and misuse in autistic adults

Autism ◽  
2021 ◽  
Vol 25 (5) ◽  
pp. 1469-1480
Author(s):  
Maya Bowri ◽  
Laura Hull ◽  
Carrie Allison ◽  
Paula Smith ◽  
Simon Baron-Cohen ◽  
...  
Keyword(s):  
Social Anxiety ◽  
Alcohol Use ◽  
Online Survey ◽  
Autistic Traits ◽  
Well Being ◽  
Psychological Predictors ◽  
Autistic Adults ◽  
Mental Well Being ◽  
Shaped Pattern ◽  
Significant Factors

This study explored demographic and psychological predictors of alcohol use and misuse in a high-functioning, community sample of 237 autistic adults aged 18–75 (mean = 41.92 and standard deviation = 13.3) recruited in the United Kingdom. An online survey measured demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use with the Alcohol Use Disorders Identification Test. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) and multinomial logistic regression models were used to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring significantly higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. In multivariate analysis, autistic non-drinkers were less likely to be male (odds ratio = 0.44; 95% confidence interval = 0.22–0.87) and had more autistic traits (odds ratio = 2.50; 95% confidence interval = 1.19–5.28). Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community. Lay abstract Alcohol use and misuse are associated with a variety of negative physical, psychological and social consequences. The limited existing research on substance use including alcohol use in autistic adults has yielded mixed findings, with some studies concluding that autism reduces the likelihood of substance use and others suggesting that autism may increase an individual’s risk for substance misuse. This study investigated demographic and psychological predictors of alcohol use and misuse in a sample of 237 autistic adults. An online survey was used to obtain data on demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) in order to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. Autistic non-drinkers were less likely to be male and had more autistic traits. Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community.

scholarly journals Investigating the effects of environmental patents and climate change mitigation technologies on sustainable economic growth in the Middle East

2021 ◽  
Author(s):  
Sadegh Abedi ◽  
Mehrnaz Moeenian
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Middle East ◽  
Climate Change Mitigation ◽  
Developed Countries ◽  
Factors Affecting ◽  
Middle East Countries ◽  
Sustainable Economic Growth ◽  
Change Mitigation

Abstract Sustainable economic growth and identifying factors affecting it are among the important issues which have always received attention from researchers of different countries. Accordingly, one of the factors affecting economic growth, which has received attention from researchers in the developed countries over recent years, is the issue of environmental technologies that enter the economic cycle of other countries after being patented through technology transfer. The current research investigated the role of the environment-related patents and the effects of the patented technological innovations compatible with climate change mitigation on the economic growth and development in the Middle East countries within a specific time period. The required data were gathered from the valid global databases, including Organization for Economic Co-operation and Development and World Bank and have been analyzed using multi-linear regression methods and econometric models with Eviews 10 software. The obtained results with 95% confidence level show that the environmental patents (β = 0.02) and environment management (β = 0.04) and technologies related to the climate change mitigation (β = 0.02) have a significant positive impact on the sustainable economic development and growth rate in the studied countries. Such a study helps innovators and policymakers in policy decisions related to sustainable development programs from the perspective of environmentally friendly technologies by demonstrating the role of patents in three important environmental areas, namely environmental management, water-related adaptation and climate change mitigation, as one of the factors influencing sustainable economic growth.

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