Design and Analysis of Experiments

Mattei, Alessandra; Mealli, Fabrizia; Nodehi, Anahita

doi:10.1007/978-3-319-57365-6_40-1

Cited by 4 publications

(4 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2) Mechanism and mediating effects CAER 16,2 Following Godfrey et al (2019), Gray (2020), Kyriacou et al (2019), Mattei et al (2021), Nodehi et al (2021Nodehi et al ( , 2015, Rebally et al (2021) and Zhou et al (2021), this research develops Equations (2) to (5) to measure the mechanism of how natural disasters affect the duration of agricultural production import in China using OLS. Equations ( 2) and (3) estimate the mediating role of transportation infrastructure, while Equations ( 4) and ( 5) estimate that of agriculture value-added.…”

Section: Methodology and Datamentioning

confidence: 99%

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Zhao,

Cheng,

Chai

2024

CAER

View full text Add to dashboard Cite

PurposeNatural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China within 2002 and 2018. This exploration estimates the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations.Design/methodology/approachThis investigation uses Probit, Logit, Cloglog and Ordinary Least Squares (OLS) models.FindingsThe results confirm the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations in China. According to the findings, natural disasters in trading partners heighten the risk to the agricultural imports. This risk raises, if disasters damage overall agricultural yield or transportation infrastructure. Moreover, governments’ effective response or diplomatic ties with China mitigate the risk. Finally, the effect of disasters varies by the developmental status of the country involved, with events in developed nations posing a greater risk to China’s imports than those in developing nations.Originality/valueChina should devise an early warning system to protect its agricultural imports by using advanced technologies such as data analytics, remote sensing and artificial intelligence. In addition, it can leverage this system by improving its collaboration with trading partners, involvement in international forums and agreement for mutual support in crisis.

show abstract

Section: Methodology and Datamentioning

confidence: 99%

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Zhao,

Cheng,

Chai

2024

CAER

View full text Add to dashboard Cite

show abstract

“…To examine the validity of the estimations and results, this research tests the xed-or random-effects character of the regression as well as the robustness, multicollinearity, and endogeneity of the results. To decide on the xed-or random-effects, the Hausman test examines the null hypothesis of the randomeffects model (Mattei et al, 2021;Nasrollahi et al, 2021). To check the robustness of the results, it examines the estimates of Eq.…”

Section: Methodsmentioning

confidence: 99%

Human Capital impact on productivity in Chinese enterprises: analyzing the mediating role of innovation

Nie

2024

Preprint

View full text Add to dashboard Cite

Human capital can increase productivity by enhancing the innovation, creativity, and technological levels of enterprises. However, it can threaten productivity if inappropriately designed and structured since education and training consume resources like time and finance. This research investigates the impact of human capital on productivity among enterprises in China between 2008 and 2015, using a fixed-effects model. In addition, it measures this impact among enterprises with different levels of productivity levels using the quantile regression technique. Moreover, it examines the moderating role of innovation in this impact by employing the moderating regression method. The results confirm the beneficial impacts of human capital including education, technical skills, and work experience on productivity in Chinese enterprises in the comprehensive analysis. This impact differs in enterprises with various levels of productivity as workers with doctorate and master degrees and middle technical skills indicate higher constructive impacts on productivity. The results of the mediating examination reveal the considerable mediating role of innovation in this impact. These findings highlight the importance of human resource management in enterprises and imply that enterprises with high productivity levels involve complex and advanced systems needing further educated and skillful workers. Therefore, managers should promote investment in human resources and R&D endeavors to escalate productivity, especially in enterprises with higher levels of productivity and technology at the microeconomic level.

show abstract

“…CCD can be used as a great design instrument for sequential experiments, allowing testing of the absence of fit with the availability of a sufficient amount of test values. 49 Design Expert software (Stat-Ease, trial version 7.1) was used to apply CCD. We used 4 factors in three complete factorial CCD levels based on RSM that presented 30 experiments (16 factorial points, 6 replications at central points, and 8 axial points) to optimize the selected variables.…”

Section: Methodsmentioning

confidence: 99%

“…47,48 It is affected by different variables and aims to nd the optimal conditions for the response. 49,50 It involves an experimental modeling approach that evaluates the relationships between controlled empirical factors and the obtained results. RSM is a popular experimental approach used in various industrial processes and chemical reactions to operate the process more economically and reliably to ensure greater stability and produce high-quality products.…”

Section: Experimental Design and Optimizationmentioning

confidence: 99%

Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe₃O₄) nanoparticles in aqueous solutions

Bazrafshan,

Mohammadi,

Zarei

et al. 2023

RSC Adv.

View full text Add to dashboard Cite

show abstract

Design and Analysis of Experiments

Cited by 4 publications

References 124 publications

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Human Capital impact on productivity in Chinese enterprises: analyzing the mediating role of innovation

Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe₃O₄) nanoparticles in aqueous solutions

Contact Info

Product

Resources

About

Design and Analysis of Experiments

Cited by 4 publications

References 124 publications

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Natural disasters and agricultural trade in China: analyzing the role of transportation, government and diplomacy

Human Capital impact on productivity in Chinese enterprises: analyzing the mediating role of innovation

Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe3O4) nanoparticles in aqueous solutions

Contact Info

Product

Resources

About

Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe₃O₄) nanoparticles in aqueous solutions