scholarly journals Green Strategy Effect on Financial and Environmental Performance: A Mediation Analysis of Product Quality

2021 ◽  
Vol 13 (4) ◽  
pp. 2115
Author(s):  
Akintunde Olayeni ◽  
Anastasia Ogbo ◽  
Henry Okwo ◽  
Benjamin Chukwu ◽  
Chuka Ifediora ◽  
...  
Keyword(s):  
Financial Performance ◽  
Product Quality ◽  
Direct Effect ◽  
Mediation Analysis ◽  
Environmental Performance ◽  
Developing Economies ◽  
Total Effect ◽  
Mediation Model ◽  
Green Strategy

The dilemma of firms in developing economies was the crux of this study. In probing whether the adoption of organization-wide green strategy would enhance the product quality and the firm’s financial lifeline, while also improving the environment, we developed a mediation model. The specific objectives were to ascertain the direct effect of green strategy on both environmental and financial performance and its total effect on both environmental and financial performance through product quality. With data collated and analyzed from 648 respondents, using the Hayes mediation approach, results show that while environmental performance is strongly predicted by green strategy and product quality (as a mediator), financial performance is also positively predicted, but by a smaller effect. The import of the findings of this study is that the adoption of green strategy mediated by product quality improves both environmental and financial performance, implying that firms can remain financially viable while adopting product-focused green strategy.

scholarly journals Smartphone Addiction, Narcissism and Aggression: A Mediation Analysis Method

2019 ◽  
Author(s):  
Anjelica Simsek ◽  
Cahit Nuri ◽  
Cemaliye Direktor ◽  
Ahmet Arnavut
Keyword(s):  
Direct Effect ◽  
Indirect Effect ◽  
Mediation Analysis ◽  
Total Effect ◽  
Mediation Effect ◽  
Smartphone Addiction ◽  
Analysis Method ◽  
Variable Effect ◽  
Independent Variable ◽  
Mediator Variable

<p>At this study, meditation effect of aggression was analyzed using Baron and Kenny’s mediation analysis method. Baron and Kenny (1986) indicates that to analyze the effect of mediator variable 3 criteria have to be actualized:</p> <p>1. Independent variable have a significant effect on a mediator variable (way a)</p> <p>2. Mediator variable have a significant effect on a dependent variable (way b)</p> <p>3. Independent variable have a significant effect on a dependent variable (way c)</p> <p>PROCESS program were used the meditational effect, it is an extra macro that is downloading to the Daniel and Hayes’s (2016) SPSS program. In this program mediation effect could be evaluated as; total effect, direct effect and indirect effect scores of mediation variable effect on dependent variable (Preacher & Hayes, 2008).</p>

Mediating Effect of C-reactive Protein and Aspartate Aminotransferase on Diabetes Mellitus and Myocardial Infarction Risk

2020 ◽  
Author(s):  
Hui Zhao ◽  
Miao-miao Jiang ◽  
Sang Hu ◽  
Chang Su ◽  
Li Zhang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Mediation Analysis ◽  
Mediating Effect ◽  
Total Effect ◽  
Mediation Effect ◽  
Risk Level ◽  
Mediation Model ◽  
Reactive Protein ◽  
Unit Increase ◽  
The Relationship

Abstract Background: The relationship between diabetes and myocardial infarction has always been the focus of research, but it is not clear whether the DM-MI association is direct or mediated by other factors. Our hypothesis is that part of the risk of MI in DM patients may be mediated by CRP and AST. We examined this hypothesis in the mediation analysis and tried to assess the extent to which CRP and AST could explain the MI risk caused by DM.Methods: This case-control study was conducted on 130 patients with MI and 130 patients with no-MI. We compared the relevant biochemical indicators of MI and no-MI patients, and applied mediation analysis to test the association of CRP and AST with DM-MI Potential adjustment effect.Results: The study found that individuals who suffered MI were more likely to have DM as compared with Non-MI (OR = 2.117, 95%CI = 1.130-4.195, P = 0.020), and CRP and AST are positively correlated with the occurrence of MI, For every unit increase in CRP and AST levels, the risk level of MI Significantly increased by 1%, 3.1% respectively. The direct effect of DM and MI is 0.847, the mediating effect of CRP is 7.69% of the total effect, and the mediating effect of AST is 52.79% of the total effect. The mediation effect of the CRP-AST path is 0.386, accounting for 12.36% of the total effect. In the mediation model we verified, CRP and AST play a part of the mediation effect between DM with MI, and the total mediation effect accounts for 72.84%.Conclusions: CRP and AST play an important role in the risk of DM-induced MI. This provides evidence for the mechanism and is of great significance for the exploration of therapeutic targets.

Introduction to Simple Mediation Analysis in SPSS

2015 ◽  
Vol 7 (1) ◽  
pp. 62 ◽  
Author(s):  
Nitika Sharma
Keyword(s):  
Causal Relationship ◽  
Direct Effect ◽  
Indirect Effect ◽  
Mediation Analysis ◽  
Indirect Effects ◽  
Regression Analyses ◽  
Mediation Model ◽  
Ols Regression ◽  
Mediator Variable

Data is analyzed using Mediation model which focuses on the estimation of the indirect effect of X on Y through an intermedi - ary mediator variable M causally located between X and Y (i.e., a model of the form X ? M ? Y ) 1 , where X is the input variable, Y is output and M is the Mediating Variable. When researchers want to examine that how X variable exert it effects on Y variable which is commonly intervened by one or two variables denoted by M and this variable has a causal relationship between X &amp; Y as per Figure 1 and termed as Simple Mediation Model. In this casual system there is at least one casual antecedent X variable is projected as influencing an outcome Y through a single inter - vening variable M . Such model establishes two pathways which influences Y by direct effect and indirect effect. In direct effect, pathways lead from X to Y without passing M. In indirect effects, a pathway of X to Y is lead through M. There are two conse - quent variables forming two equations and these equations can be estimated by conducting OLS regression analyses using SPSS or by using PROCESS.sps in SPSS by Andrew F. Hayes. To add PROCESS by Andrew F. Hayes in SPSS.

scholarly journals Smartphone Addiction, Narcissism and Aggression: A Mediation Analysis Method

2019 ◽  
Author(s):  
Anjelica Simsek ◽  
Cahit Nuri ◽  
Cemaliye Direktor ◽  
Ahmet Arnavut
Keyword(s):  
Direct Effect ◽  
Indirect Effect ◽  
Mediation Analysis ◽  
Total Effect ◽  
Mediation Effect ◽  
Smartphone Addiction ◽  
Analysis Method ◽  
Variable Effect ◽  
Independent Variable ◽  
Mediator Variable

<p>At this study, meditation effect of aggression was analyzed using Baron and Kenny’s mediation analysis method. Baron and Kenny (1986) indicates that to analyze the effect of mediator variable 3 criteria have to be actualized:</p> <p>1. Independent variable have a significant effect on a mediator variable (way a)</p> <p>2. Mediator variable have a significant effect on a dependent variable (way b)</p> <p>3. Independent variable have a significant effect on a dependent variable (way c)</p> <p>PROCESS program were used the meditational effect, it is an extra macro that is downloading to the Daniel and Hayes’s (2016) SPSS program. In this program mediation effect could be evaluated as; total effect, direct effect and indirect effect scores of mediation variable effect on dependent variable (Preacher & Hayes, 2008).</p>

scholarly journals R&D Investment, Financial and Environmental Performance Nexuses via Bootstrap Fourier Quantiles Granger Causality Test

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 85
Author(s):  
Feng-Li Lin
Keyword(s):  
Financial Performance ◽  
Granger Causality ◽  
Environmental Performance ◽  
Co2 Emission ◽  
Positive Relationship ◽  
Granger Causality Test ◽  
Causality Test ◽  
Emission Reductions ◽  
Policy Makers ◽  
D Investment

This study investigated the relationship between R&D investments and financial and environmental performance. The direction, size, and significance of various phases of these variables were generated using the bootstrap Fourier quantiles Granger causality test. In our results, a positive relationship between R&D investment and CO2 emission reductions was found at two tails of quantiles. Additionally, we observed a significantly positive relationship between financial performance and CO2 emission reductions at the 0.5 quantile and above. The correlation between R&D investment and financial performance was identified to be positive under the 0.3, 0.4, 0.5 and 0.9 quantiles and negative under the 0.5 and 0.6 quantiles. The changing linkages among R&D investment, environmental performance and financial performance found in this study provide important information for policy makers, aiding in the development of R&D strategies to upgrade financial and environmental performance simultaneously.

scholarly journals Exact parametric causal mediation analysis for a binary outcome with a binary mediator

2021 ◽  
Author(s):  
Marco Doretti ◽  
Martina Raggi ◽  
Elena Stanghellini
Keyword(s):  
Logistic Regression ◽  
Direct Effect ◽  
Mediation Analysis ◽  
Delta Method ◽  
Binary Outcome ◽  
Effect Decomposition ◽  
Causal Mediation ◽  
Regression Parameters ◽  
Causal Mediation Analysis ◽  
Parametric Expression

AbstractWith reference to causal mediation analysis, a parametric expression for natural direct and indirect effects is derived for the setting of a binary outcome with a binary mediator, both modelled via a logistic regression. The proposed effect decomposition operates on the odds ratio scale and does not require the outcome to be rare. It generalizes the existing ones, allowing for interactions between both the exposure and the mediator and the confounding covariates. The derived parametric formulae are flexible, in that they readily adapt to the two different natural effect decompositions defined in the mediation literature. In parallel with results derived under the rare outcome assumption, they also outline the relationship between the causal effects and the correspondent pathway-specific logistic regression parameters, isolating the controlled direct effect in the natural direct effect expressions. Formulae for standard errors, obtained via the delta method, are also given. An empirical application to data coming from a microfinance experiment performed in Bosnia and Herzegovina is illustrated.

Exploring the impact of green human resource management on environmental performance: the roles of perceived organizational support and innovative environmental behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sabeen Hussain Bhatti ◽  
Farida Saleem ◽  
Ghulam Murtaza ◽  
Tazeem Ul Haq
Keyword(s):  
Human Resource Management ◽  
Human Resource ◽  
Organizational Support ◽  
Environmental Performance ◽  
Oil And Gas ◽  
Mediation Model ◽  
Content Type ◽  
Serial Mediation ◽  
Green Human Resource Management ◽  
The Relationship

PurposeThis paper aims to explore the relationship between green human resource management (GHRM) practices and the environmental performance (EP) of firms belonging to industries that may lean toward environmental pollution (e.g. oil and gas). The authors propose a holistic (serial mediation) model based on the ability-motivation-opportunity (AMO) theory and the social exchange theory (SET) and integrate organizational, i.e. perceived organizational support (POS), and individual, i.e. innovative environmental behavior (IEB), factors as explanatory mechanisms. The authors then test the model in a developing country context.Design/methodology/approachData were collected from white collar workers in the oil and gas industry in Pakistan. A structural equation modeling (SEM) technique and the PROCESS model 6 were used to analyze the hypothesized serial mediation model.FindingsThe authors found support for the fully meditating serial mediation model. Although the direct effects of GHRM and EP were insignificant, the total effects and indirect effects through POS and IEB were significant. Similarly, the research also found support for organizational and individual factors as explanatory mechanisms in the relationship between GHRM and EP.Originality/valueThis research adds to the existing literature on GHRM and the corporate EP link through proposing and testing a model of the mediating effects of POS and IEB. Furthermore, it provides empirical evidence of this model in the oil and gas sector using an Asian developing country as the context of study.

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