scholarly journals Empirical Evidences for Urban Influences on Public Health in Hamburg

2019 ◽  
Vol 9 (11) ◽  
pp. 2303 ◽  
Author(s):  
Malte von Szombathely ◽  
Benjamin Bechtel ◽  
Bernd Lemke ◽  
Jürgen Oßenbrügge ◽  
Thomas Pohl ◽  
...  
Keyword(s):  
Conceptual Model ◽  
Urban Health ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Smoking Behavior ◽  
Principal Component ◽  
Well Being ◽  
Multiple Linear Regression Analysis ◽  
Data Set ◽  
Research Areas

From the current perspectives of urban health and environmental justice research, health is the result of a combination of individual, social and environmental factors. Yet, there are only few attempts to determine their joint influence on health and well-being. Grounded in debates surrounding conceptual models and based on a data set compiled for the city of Hamburg, this paper aims to provide insights into the most important variables influencing urban health. Theoretically, we are primarily referring to the conceptual model of health-related urban well-being (UrbWellth), which systemizes urban influences in four sectors. The systematization of the conceptual model is empirically confirmed by a principal component analysis: the factors derived from the data correspond well with the deductively derived model. Additionally, a multiple linear regression analysis was used to identify the most important variables influencing the participant’s self-rated health (SRH): rating of one’s social network, rating of neighborhood air quality, rating of neighborhood health infrastructure, heat stress (day/outdoors), cold stress (night/indoors). When controlling for age, income and smoking behavior, these variables explain 12% of the variance of SRH. Thus, these results support the concept of UrbWellth empirically. Finally, the study design helped to identify hotspots with negative impact on SRH within the research areas.

scholarly journals Assessing the Spatial Distribution of Soil PAHs and their Relationship with Anthropogenic Activities at a National Scale

2019 ◽  
Vol 16 (24) ◽  
pp. 4928 ◽  
Author(s):  
Siyan Zeng ◽  
Jing Ma ◽  
Yanhua Ren ◽  
Gang-Jun Liu ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Urban Areas ◽  
Negative Impact ◽  
Anthropogenic Activities ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Anthropogenic Factors ◽  
Characteristic Ratio

Soil polycyclic aromatic hydrocarbon (PAH) pollution is a major concern due to its negative impact on soil quality around the world. In China, accurate data on soil PAHs and information on the relationship with anthropogenic activities are limited. In this study, about 30,800 samples from 1833 soil sample sites were reviewed from 306 published reports to build a soil PAHs database. Based on the data obtained, the results demonstrated that 24.11% of surface soils in China are heavily contaminated. Meanwhile, the concentration of soil PAHs varied, in the order of independent mining and industrial areas (IMIA) > urban areas > suburban areas > rural areas, and the spatial distribution in China demonstrated a descending trend from north to south. Moreover, the characteristic ratio and PCA-MLR (principal component analysis-multiple linear regression) analysis demonstrated that coal combustion and vehicular exhaust emissions were the main sources of soil PAH pollution in China. On the other hand, provincial total Σ16PAHs in surface soil were significantly correlated with the per square kilometer GDP (gross domestic product) of industrial land, the per capita GDP, as well as the production and consumption of energy. These results indicate that anthropogenic factors have greatly affected the levels of soil PAHs in China. This study improves our understanding on the status and sources of soil PAH contamination in China, thereby facilitating the implementation of strategies of prevention, control, and remediation of soils.

scholarly journals Farmers' adaptation choices to climate change: a case study of wheat growers in Western Iran

2018 ◽  
Vol 10 (1) ◽  
pp. 102-116 ◽  
Author(s):  
Yousof Azadi ◽  
Masoud Yazdanpanah ◽  
Masoumeh Forouzani ◽  
Hossein Mahmoudi
Keyword(s):  
Climate Change ◽  
Financial Management ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Adaptation Measures ◽  
Western Iran ◽  
Multi Stage ◽  
Three Components

AbstractClimate change is expected to disproportionately affect farmers by further exacerbating the risks that they face. These risks have a huge negative impact on their livelihood. However, mounting evidence has revealed that farmers can effectively manage this negative impact by adapting their farming practices to climate change. The objectives of this study were to evaluate the farmers' ongoing adaptation measures, and to identify factors that influence their choice of adaptation methods in wheat production in the Kermanshah district in Western Iran. A sample of 350 farmers living in this region was selected through a multi-stage stratified and random sampling method. Principal component analysis revealed that three components play a role in the farmers' decisions on adaptation methods, namely, farm production practices, farm financial management, and government programs and insurance. The relative influence of the factors listed under each of the three components was assessed using a multiple linear regression analysis. Our analysis showed that these factors accounted for 50%, 25%, and 40% of the adaptation responses analyzed, respectively. In sum, our findings yield recommendations for agriculture extension and risk communication strategies that could promote adaptation behavior among Iranian farmers.

Customer-Related Social Stressors

2015 ◽  
Vol 14 (4) ◽  
pp. 165-181 ◽  
Author(s):  
Sarah Dudenhöffer ◽  
Christian Dormann
Keyword(s):  
Service Providers ◽  
Principal Component ◽  
Well Being ◽  
Emotional Dissonance ◽  
Social Stressors ◽  
Data Set ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Service Jobs ◽  
Single Data

Abstract. The purpose of this study was to replicate the dimensions of the customer-related social stressors (CSS) concept across service jobs, to investigate their consequences for service providers’ well-being, and to examine emotional dissonance as mediator. Data of 20 studies comprising of different service jobs (N = 4,199) were integrated into a single data set and meta-analyzed. Confirmatory factor analyses and explorative principal component analysis confirmed four CSS scales: disproportionate expectations, verbal aggression, ambiguous expectations, disliked customers. These CSS scales were associated with burnout and job satisfaction. Most of the effects were partially mediated by emotional dissonance. Further analyses revealed that differences among jobs exist with regard to the factor solution. However, associations between CSS and outcomes are mainly invariant across service jobs.

The Psychological and Financial Impact of Cybercrime Victimization: A Novel Application of the Shattered Assumptions Theory

2021 ◽  
pp. 089443932098382
Author(s):  
Jildau Borwell ◽  
Jurjen Jansen ◽  
Wouter Stol
Keyword(s):  
Negative Impact ◽  
Secondary Analysis ◽  
Well Being ◽  
Policy Implications ◽  
Financial Impact ◽  
Financial Loss ◽  
Data Set ◽  
Loss Compensation ◽  
Shattered Assumptions ◽  
The Impact

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens ( N = 33,702), exploring the psychological and financial impact for different groups of cybercrime victims. The results showed a higher negative impact on emotional well-being for victims of person-centered cybercrime, victims for whom the offender was an acquaintance, and victims whose financial loss was not compensated and a lower negative impact on emotional well-being for victims with a higher income. The study led to novel scientific insights and showed the applicability of the SAT for developing hypotheses about cybercrime victimization impact. In this study, most hypotheses had to be rejected, leading to the conclusion that more work has to be done to test the applicability of the SAT in the field of cybercrime. Furthermore, policy implications were identified considering the prioritization of and approach to specific cybercrimes, treatment of victims, and financial loss compensation.

Salinity and climatic effects on the yields of citrus

1985 ◽  
Vol 25 (3) ◽  
pp. 711 ◽  
Author(s):  
PJ Cole ◽  
PI McCloud
Keyword(s):  
Regression Analysis ◽  
High Temperatures ◽  
Fruit Set ◽  
Yield Loss ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Significant Variable ◽  
Irrigation Season ◽  
Climatic Effects

A multiple linear regression analysis of salinity and climate against yield of Valencia and Washington Navel Oranges was performed for the period 1945-79 on data from irrigated orchards in Sunraysia, Berri, Waikerie and Mypolonga. Principal component analysis was utilized to reduce the number of climatic variables introduced into the multiple regression analysis. High temperatures and high evaporation during flowering and fruit set (November and December) were associated with reduced yields in Sunraysia, Berri and Waikerie, possibly by increasing flower and fruit drop, and by reducing fruit set. At Mypolonga, the coolest location studied, high temperatures were associated with increased yields. Salinity was negatively associated with yield at Mypolonga, Waikerie and Berri, the locations of highest salinity. No effects were observed at Sunraysia. It was not possible to deduce a critical level of salinity in irrigation water that is associated with yield loss or the magnitude of yield loss from the statistical analyses. However, we did observe that salinity during the irrigation season prior to harvest was associated with decreased yields, while only at Mypolonga was salinity in the year of harvest a significant variable in the analyses.

Performance implications of industry appropriability for manufacturing SMEs

2015 ◽  
Vol 26 (5) ◽  
pp. 660-677 ◽  
Author(s):  
Safal Batra ◽  
Sunil Sharma ◽  
Mukund R Dixit ◽  
Neharika Vohra ◽  
Vishal K Gupta
Keyword(s):  
Negative Impact ◽  
Linear Regression Analysis ◽  
Limited Resource ◽  
Multiple Linear Regression Analysis ◽  
Resource Base ◽  
Firm Level ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
And Performance ◽  
Technology Orientation

Purpose – Industry appropriability – the degree to which firms in an industry can appropriate benefits from their innovations – is a crucial dimension of industry environment. Small and medium manufacturing enterprises (manufacturing SMEs), because of their limited resource base, tend to be especially sensitive to the appropriability conditions in their industry. The purpose of this paper is to understand the influence of industry appropriability on firm outcomes (innovativeness and performance), and posits technology orientation as a dynamic capability that helps firms overcome appropriability barriers in their industry. Design/methodology/approach – Data were collected from 162 manufacturing SMEs in India. Multiple linear regression analysis was used to test the proposed hypotheses. Findings – This study reveals that the perceived level of appropriability of manufacturing SMEs impacts their innovativeness. Further, findings also support technology orientation as a crucial firm-specific characteristic which enables firms to overcome unfavorable appropriability conditions. Technology orientation plays a significant role in mitigating the negative impact of lower appropriability conditions. Even when the patent regime is unfavorable, technology-oriented firms are able to innovate and perform better. Practical implications – The findings suggest technology orientation as a strategic mechanism for manufacturing SMEs to respond to conditions of unfavorable appropriability regime. Originality/value – This study elaborates the benefits of integrating industry-level and firm-level characteristics. Specifically, an attempt was made to extend the existing research on industry appropriability by bringing in the contingent effect of technology orientation. The context of manufacturing SMEs yielded several interesting insights.

Research on Optimization of "Deoxidation Alloying" of Molten Steel Based on Linear Programming

2020 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Anna Li ◽  
Dongqing Xu
Keyword(s):  
Linear Programming ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Molten Steel ◽  
Programming Model ◽  
Linear Regression Analysis ◽  
Optimal Solution ◽  
Principal Component ◽  
Multiple Linear Regression Analysis ◽  
Main Factors

<p>Aiming at the optimization of the supporting solution for molten steel "deoxidation alloying", the cost of "deoxidation alloying" is minimized from an economic perspective. Using Excel, Eviews and spss software programming, through factor analysis, clustering dimension reduction, principal component analysis Multiple linear regression analysis and linear programming optimization analysis, the author found out the main factors that affected the yield of alloy elements. This paper establishes a multiple linear regression mathematical model that affects the main factors of alloy elements and yield. According to the reference alloy price, the linear programming model is adopted to find the optimal solution of alloy ingredients.</p>

scholarly journals Pengaruh Persepsi Stigma Sosial Dan Dukungan Sosial Terhadap Kesejahteraan Psikologis Pada Narapidana

2018 ◽  
Vol 3 (2) ◽  
pp. 183-207 ◽  
Author(s):  
Wahyu Utami
Keyword(s):  
Social Support ◽  
Social Stigma ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Well Being ◽  
Multiple Linear Regression Analysis ◽  
Psychological Well Being ◽  
Dependent Variables ◽  
The Subject ◽  
Age Range

This study aims to determine the effect of social stigma perception and social support on psychological wellbeing on prisoners. perceptions of social stigma and social support as independent variables and psychological well-being of dependent variables. Subjects were 140 prisoners who underwent half of prisoners in prisons class II A kediri with age range 20 to 37 years. The random sampling technique is used as the subject taking method. Data analysis used multiple linear regression analysis and data collection using scale psychological well being scale (PWBS), perceived social stigmatization (STS) and Multidimensional scale of perceived social support (MSPSS). The results showed that social stigma perception with psychological well-being had negative and significant influence with value (? = -.514, p = 0,000), social support gave influence to psychological welfare with value (? = 0.422, P = 0.000), perception social stigma and social support together have an influence on psychological well-being with value (F = 54,339, P = 0,000)

scholarly journals Pengaruh Hedonic Value Dan Utilitarian Value Terhadap Impulse Buying Di Mediasi Oleh Shopping Life Style Pada Industri Kulit Sidoarjo

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Krido Eko Cahyono
Keyword(s):  
Path Analysis ◽  
Indirect Effect ◽  
Negative Impact ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Impulse Buying ◽  
Leather Industry ◽  
Hedonic Value ◽  
Utilitarian Value ◽  
Industry Center

ABSTRACT  Sidoarjo, is a region that was hit by a national disaster, in the form of mud, giving an image to the community, that the disaster had a negative impact on the existence of small industrial centers located in Tanggulangin, and has been the mainstay of leather bags and suitcases in Sidoarjo. The level of public purchases of bags and luggage shows a downward trend since the occurrence of the disaster. Realizing the existence of these consequences, efforts need to be raised again giving stimulus to the wider community to shop at the Bag and Suitcase Industry Center in Tanggulangin, Sidoarjo. This research requires data and information from respondents, namely consumers of leather products who shop at the Tanggulangin Leather Industry Center in Sidoarjo.The purpose of this study was to find out that Hedonic and Utilitarian Value directly influence Impulse Buying. To find out the Hedonic Value has an indirect effect on Impulse Buying through shopping lifestyle, to find out the Utilitarian Value has an indirect effect on Impulse Buying through shopping lifestyleTo test the influence of intervening variables, Path Analysis method is used. Path analysis is an extension of multiple linear regression analysis that serves to estimate causality between variables that have been previously determined. In this study there are 4 variables that will be analyzed such as HedonicValue, Utilitarian Value, Shopping Lifestyle towards Impulse Buying with Shopping Lifestyle as an intervening variable.Keywords                   : Hedonic Value, Utilitarian Value, Shopping Lifestyle, and Impulse BuyingCorrespondence to       : [email protected] ABSTRAK  Sidoarjo, merupakan  wilayah  yang terkena bencana nasional, berupa lumpur , memberikan image kepada masyarakat, bahwa bencana tersebut memberikan dampak  negatif terhadap keberadaan sentra industri  kecil yang terletak di Tanggulangin, dan selama ini menjadi andalan industri Tas dan Koper dari kulit di sidoarjo. Tingkat pembelian masyarakat  atas produk tas dan koper menunjukkan kecenderungan menurun sejak terjadinya bencana tersebut.  Menyadari  akan adanya akibat tersebut,  perlu upaya –upaya mengangkat kembali memberikan stuimulus kepada masyarakat luas untuk berbelanja di Sentra Industri Tas dan Koper di tanggulangin,Sidoarjo. Penelitian ini memerlukan data dan informasi dari responden yaitu konsumen produk kulit yang berbelanja di Sentra Industri Kulit Tanggulangin Sidoarjo.Tujuan dalam penelitian ini adalah Untuk mengetahui  Hedonic dan Utilitarian Value berpengaruh langsung terhadap Impulse Buying , Untuk mengetahui Hedonic Value berpengaruh tidak langsung terhadap Impulse Buying melalui shopping lifestyle, Untuk mengetahui Utilitarian Value  berpengaruh tidak langsung terhadap Impulse Buying melalui shopping lifestyleUntuk menguji pengaruh variabel intervening digunakan metode analisis jalur (Path Analysis). Analisis jalur merupakan perluasan dari analisis regresi linear berganda yang berfungsi untuk menaksir hubungan kausalitas antar variabel yang telah ditetapkan sebelumnya. Dalam penelitian ini ada 4 variabel yang akan dianalisis parameternya yaitu HedonicValue , Utilitarian Value, Shopping Lifestyle terhadap Impulse Buying dengan Shopping Lifestyle sebagai variabel intervening.Kata kunci                  : Hedonic Value, Utilitarian Value, Shopping Lifestyle, dan Impulse Buying Korespondensi                        : [email protected]

scholarly journals Towards reproducibility of traditional fermented sausages: Texture profile analyses and modelling

2020 ◽  
Vol 26 (1) ◽  
pp. 79-87
Author(s):  
Marija Jokanovic ◽  
Bojana Ikonic ◽  
Predrag Ikonic ◽  
Vladimir Tomovic ◽  
Tatjana Peulic ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Multiple Linear Regression Analysis ◽  
Sensory Characteristics ◽  
Small Scale ◽  
Regression Equations ◽  
Textural Characteristics ◽  
Fermented Sausages

The aim of this study was to investigate textural characteristics of three traditional dry fermented sausages (Sremski kulen, Lemeski kulen and Petrovsk? klob?sa) manufactured in different small-scale facilities in northern Serbia, and to correlate them with physicochemical and sensory characteristics. The sample sausages were supplied by different local traditional producers. The textural characteristics were correlated with physicochemical and sensory characteristics using multiple linear regression analysis and principal component analysis. Differences in physicochemical characteristics reflected even more notable differences in texture characteristics. Regarding regression equations, obtained results showed that moisture content was significant for hardness, springiness and cohesiveness. Hardness was also influenced by fat content, while chewiness was influenced by protein content. Principal component analysis separated samples of Petrovsk? klob?sa, as the group with the most reproducible analysed characteristics. Obtained results of statistical analyses should provide knowledge for possible improvements of the traditional production, in a way that these sausages could be produced in different facilities with consistent textural characteristics.

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