scholarly journals Innovation of price adjustment mechanisms to support investment in solar power in Germany

2018 ◽  
Vol 64 ◽  
pp. 02007 ◽  
Author(s):  
Thi Hiep Do ◽  
Hoffmann Clemens
Keyword(s):  
Regression Models ◽  
Feedback System ◽  
Feedback Mechanism ◽  
Vital Role ◽  
Price Adjustment ◽  
Small Scale ◽  
Linear Regression Models ◽  
Pv System ◽  
Adjustment Mechanism ◽  
Adjustment Mechanisms

It has been widely agreed that to incentivize renewables integration into the power system, not only pricing mechanisms, but price adjustment mechanisms have played a vital role, and it has been true for the German Energiewende. This study is to carry out a detailed analysis of investment results influenced by innovative price adjustment mechanisms from an auto degression rate to a feedback system. Employing linear regression models for the historical data of investment in small-scale rooftop PV projects in Germany, we have found out a better correlation between PV system price and feed-in tariff (92.09%) under quarter feedback and monthly adjustment mechanism compared to an annual feedback system. However, the underinvestment in recent years reveals that a feedback mechanism without specific mathematical shapes was not effective enough in term of meeting the targeted volume. Therefore, further researches are to design mathematical images of feedback mechanism in order to find out the trajectory of electricity price in the future which at the same time satisfies the target of investment and economic effectiveness.

scholarly journals Hand Hygiene Knowledge and Self-Reported Hand Washing Behaviors among Restaurant Kitchen Chefs in Jiangsu Province, China

2021 ◽  
Vol 18 (4) ◽  
pp. 2149
Author(s):  
Bin Cui ◽  
Shao Ying Li ◽  
Linda Dong-Ling Wang ◽  
Xiang Chen ◽  
Jun Ke ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Regression Models ◽  
Restaurant Industry ◽  
Jiangsu Province ◽  
Hand Washing ◽  
Small Scale ◽  
Linear Regression Models ◽  
Foodborne Illnesses ◽  
Close Attention ◽  
Chi Square

Inadequate hand washing among chefs is a major contributor to outbreaks of foodborne illnesses originating in restaurants. Although many studies have evaluated hand hygiene knowledge (HHK) and self-reported hand washing behaviors (HWBs) in restaurant workers in different countries, little is known about HHK and HWBs in restaurant kitchen chefs, particularly in China. In this study, we interviewed 453 restaurant kitchen chefs in Jiangsu Province in China regarding their HHK and HWBs and used Chi-square tests (Fisher exact tests), pairwise comparisons, and linear regression models to analyze the responses and identify determinants of HHK and HWBs. Results reveal that less frequent hand washing after leaving work temporarily and after touching used cutlery were the main issues among restaurant kitchen chefs in Jiangsu Province. Kitchen hands had lower levels of HHK and engaged less frequently in good HWBs than the other type of chefs. Furthermore, working in a large restaurant and having worked in the restaurant industry for a longer amount of time were correlated with better HHK and HWBs. These findings suggest that close attention should be paid to the HWBs of chefs during food preparation, that kitchen hands are the key group of restaurant kitchen workers who need training in HHK, and that regulatory activities should focus on small-scale restaurants.

scholarly journals ALS as Tool to Study Preferred Stem Inclination Directions

2020 ◽  
Vol 12 (22) ◽  
pp. 3744
Author(s):  
Sebastian Lamprecht ◽  
Johannes Stoffels ◽  
Thomas Udelhoven
Keyword(s):  
Regression Models ◽  
Linear Models ◽  
Tree Height ◽  
Small Scale ◽  
Deciduous Trees ◽  
Linear Regression Models ◽  
Species Specific ◽  
Trunk Orientation ◽  
Significant Factors ◽  
Dependent Interaction

Although gravitropism forces trees to grow vertically, stems have shown to prefer specific orientations. Apart from wind deforming the tree shape, lateral light can result in prevailing inclination directions. In recent years a species dependent interaction between gravitropism and phototropism, resulting in trunks leaning down-slope, has been confirmed, but a terrestrial investigation of such factors is limited to small scale surveys. ALS offers the opportunity to investigate trees remotely. This study shall clarify whether ALS detected tree trunks can be used to identify prevailing trunk inclinations. In particular, the effect of topography, wind, soil properties and scan direction are investigated empirically using linear regression models. 299.000 significantly inclined stems were investigated. Species-specific prevailing trunk orientations could be observed. About 58% of the inclination and 19% of the orientation could be explained by the linear models, while the tree species, tree height, aspect and slope could be identified as significant factors. The models indicate that deciduous trees tend to lean down-slope, while conifers tend to lean leeward. This study has shown that ALS is suitable to investigate the trunk orientation on larger scales. It provides empirical evidence for the effect of phototropism and wind on the trunk orientation.

scholarly journals FOREIGN DIRECT INVESTMENT IN INDIA-AN INVINCIBLE WAY FOR ECONOMIC DEVELOPMENT

2021 ◽  
pp. 269-271
Author(s):  
CMA Sandip Basak ◽  
Rohan Prasad Gupta ◽  
Priyajit Kumar Ghosh
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Regression Models ◽  
Research Work ◽  
Vital Role ◽  
Simple Linear Regression ◽  
Linear Regression Models ◽  
Fdi Inflows ◽  
Per Capita ◽  
The Impact

Foreign direct investment plays a vital role in the development of a nation. The present research work aims to analyse the impact of FDI inflows on annual GDP and per capita GDP, that is, to understand the impact of FDI on Indian economy since the implication of LPG policy in India. Simple linear regression models has been used for analysis purpose and based on the results, suitable implications has been drawn.

scholarly journals Regression and ANN Models of Pulse Rate for Tricycle Rickshaw

2020 ◽  
Vol 9 (3) ◽  
pp. 3236-3243
Keyword(s):  
Experimental Data ◽  
Regression Models ◽  
Input Parameter ◽  
Optimal Solution ◽  
Software Tool ◽  
Small Scale ◽  
Variable Load ◽  
Linear Regression Models ◽  
Human Energy ◽  
Input Variables

Designing for the oppressed part of the generalized public is one of the fundamental prerequisites for comprehensive design in a developing nation like India. With a spurt being developing inside a nation, the financial distance between those who are well off and the wealthy not are expanding and this divergence is making social agitation in the nation. Tricycles rickshaw is a small-scale ordinary means principally utilized for transportation. Numerous deficiencies were reported in the existing type of tricycle. For optimization of those deficiencies, three different models of cycle rickshaw were utilized, and the input parameter that regulates the consumption of human energy and performance was identified. Regression Analysis (RA) and Artificial Neural Networks (ANN) were utilized for analysis of the experimental data. Both RA and ANN modeling were assessed statistically with the aid of a software tool. RA of the experimental data reveals that input variable load is a most prominent parameter to be focused on tor achieving the objective of expending minimum human energy by a rickshaw puller whereas ANN studies acknowledged the assistance of multiple factors in individual energy. However, load is a most prominent parameter for minimization of individual energy as Outcome. Optimization of input variables using Min-Max principle for various regression models yielded the optimal solution at crank length 167 mm and wheel diameter 675mm for human energy for all linear regression models.

Impact Of Human Resource Practices In Small Scale Industries In Thoothukudi District Of Tamilnadu

2019 ◽  
Vol 5 (4) ◽  
pp. 160-169
Author(s):  
Srimo Fernandas
Keyword(s):  
Economic Growth ◽  
Human Resource ◽  
Management Practices ◽  
Human Factor ◽  
Vital Role ◽  
Small Scale ◽  
Average Income ◽  
Small Scale Industry ◽  
Human Resource Management Practices ◽  
Small Scale Industries

In the economic growth of a country, the human factor plays a vital role. The study has been made to study the growth of small scale industries in the development of human resource management practices of in Thoothukudi district. The study has the following objectives. To study the socio-economic outline of the small scale industry owners. To understand the nature of management of the small-scale industry. To find out the motivational factors for starting small-scale industries. To analyse the average income generated by different activities by the small scale industry owners.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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