Research on the Impact of R&D Subsidies and Executive Compensation Incentives on Corporate R&D Investment Based on Multiple Regression Models—Take Listed Pharmaceutical Manufacturing Companies as an Example

2020 ◽  
Author(s):  
Guo Li ◽  
Zhang Rui
Keyword(s):  
Executive Compensation ◽  
Multiple Regression ◽  
Regression Models ◽  
Pharmaceutical Manufacturing ◽  
Manufacturing Companies ◽  
Multiple Regression Models ◽  
The Impact ◽  
D Investment ◽  
Compensation Incentives

scholarly journals PENGARUH TENOR, UKURAN, DAN SPESIALISASI KANTOR AKUNTAN PUBLIK TERHADAP KUALITAS AUDIT

2019 ◽  
Vol 2 (2) ◽  
pp. 463
Author(s):  
Tjun Tjun
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Firm Size ◽  
Regression Models ◽  
Audit Quality ◽  
Manufacturing Companies ◽  
Audit Firm ◽  
Multiple Regression Models

This study is to examine how far audit firm tenure, audit firm size and audit firm specialist influenced audit quality partially and simultaneously. This study used manufacturing companies in Indonesian Stock of Exhanges during period 2012-2016 as samples. Data analysis conducted with multiple regression models. The result proved that audit firm tenure, audit firm size and audit firm specialist influenced audit quality simultaneously. This study proved that audit firm tenure and audit firm specialist influenced audit quality partially, meanwhile audit firm size did not influenced audit quality.

DOES GOVERNMENT OWNERSHIP MATTER? COMPARATIVE STUDY BETWEEN GLCS AND NGLCS IN MALAYSIA

2015 ◽  
Vol 60 (02) ◽  
pp. 1550019 ◽  
Author(s):  
IRENE WEI KIONG TING ◽  
HOOI HOOI LEAN
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Comparative Study ◽  
Multiple Regression ◽  
Regression Models ◽  
Public Perception ◽  
Negative Relationship ◽  
Government Ownership ◽  
Multiple Regression Models ◽  
The Impact

This study investigates whether government participation in firm ownership leads to better firm performance of publicly listed companies in Malaysia. The sample covers 257 companies listed on the Bursa Malaysia from 1997 to 2009. Multiple regression models with balanced panel data are used to examine the impact of government ownership (GOVN) on firm performance. We find a negative relationship between GOVN and firm performance, a finding that supports the negative public perception of government-linked companies (GLCs) in Malaysia. We conclude that government ownership is not an effective tool for improvement of firm performance in Malaysia.

Impact of individual and organizational factors on job satisfaction: A comparison of multilevel models and multiple regression models using different data arrangements

2013 ◽  
Vol 19 (1) ◽  
pp. 44-59 ◽  
Author(s):  
Jun Yi Hsieh
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Regression Models ◽  
Multilevel Models ◽  
Organizational Factors ◽  
Ordinary Least Squares ◽  
Organizational Level ◽  
Multiple Regression Models ◽  
Research Questions ◽  
The Impact

AbstractTypically most studies of individual employees perceptions of the work place adopt multiple regression models (ordinary least squares [OLS]) which ignore inherent clustering in their data. However, such an approach does not supply unbiased and accurate answers to research questions. This study intends to simulate three data alternatives – weighted, disaggregated (individual level), and aggregated (organizational level) using the OLS and multilevel models to compare the results of different research designs. To answer the research questions, the current study investigates the impact of individual and organizational factors on job satisfaction, using a 2000 USA National Partnership for Reinventing Government survey. This study presents the methodological misuse and measurement errors of the previous research and presents guidelines for future research.

scholarly journals Anxiety level in context of chosen pro-health attitudes of male students during COVID-19 pandemic

2021 ◽  
pp. 1
Keyword(s):  
Social Support ◽  
Multiple Regression ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Regression Models ◽  
Eating Behaviors ◽  
Anxiety Level ◽  
Male Students ◽  
Multiple Regression Models ◽  
The Impact

Background and objective: Assessing the impact of different factors on anxiety level is a complex and challenging problem, especially during pandemic or similar life threatening situations. Stress can affect dietary and eating behaviors. The aim of this study is to extend knowledge concerning the relation between increased anxiety level during pandemic and attitude towards dietary and eating behaviors in the context of social situation and support of relatives and friends. This study was conducted in 2020 during COVID-19 pandemic. Methods: State-Trait Anxiety Inventory alongside auxiliary questions about social relations and eating habits were asked to the male students from different universities and courses in Eastern Europe. To assess differences and dynamics of anxiety level, multiple regression models were used. Results: Multiple regression models between state anxiety level with context to the following factors: paying particular attention to one's diet, namely, the way of nutrition during severe anxiety felt during the pandemic and factors such as strong social support and type of university course was R = 0.41 (p = 0.00). For trait-anxiety the same model returned R = 0.39 (p = 0.00). Analysis of variance revealed that support of relatives is significant factor for state anxiety level, whereas this factor is insignificant for trait anxiety level. Conclusions: Models obtained from this study indicated that there are significant relations between anxiety level of male students and social support, which is expressed in the form of proper eating, therefore pro-health habits are revealed during elevated prolonged stress state such as COVID-19 pandemic.

scholarly journals The relationship between a physician incentive plan and departmental performance in a Taiwan hospital

2013 ◽  
Vol 2 (3) ◽  
pp. 79 ◽  
Author(s):  
Nai-Yng Liu ◽  
Hsuan-Lien Chu ◽  
Chiu-Chuo Liao
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Multiple Regression ◽  
Regression Models ◽  
Data Envelopment ◽  
For Profit ◽  
Multiple Regression Models ◽  
Incentive Plan ◽  
The Impact ◽  
The Relationship

The objective of this study is to investigate the influence of a physician incentive plan based upon treatment of patients in a large private non-for-profit hospital in Taiwan. We examine the relationship between physicians’ bonuses and departmental performance to assess the impact of the physician incentive plan in the case hospital. The multiple regression models are used to examine the relationship between physicians’ bonuses and departmental profitability. In addition, we use Data Envelopment Analysis (DEA) model to measure the operational efficiency of each department in the case hospital. Then, a multi-factor tobit model is used to examine the relationship between physicians’ bonuses and departmental efficiency. The results indicate that physicians’ bonuses in the case hospital are negatively correlated with departmental profitability and efficiency. That is, the performance measurement of current incentive plan may not be appropriate and it does not induce physicians to increase departmental profitability and improve efficiency. Our results suggest that the incentive plan is flawed and might fail to hold physicians accountable for improving departmental performance in the case hospital.  

scholarly journals Corporate governance on financial distress: Evidence from Indonesia

2021 ◽  
pp. 1833-1844
Author(s):  
Eka Handriani ◽  
Imam Ghozali ◽  
Hersugodo Hersugodo
Keyword(s):  
Multiple Regression ◽  
Financial Distress ◽  
Regression Models ◽  
Positive Relationship ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Pecking Order ◽  
Statistical Tool ◽  
Multiple Regression Models ◽  
Size Variable

The main objective of this paper is to explore the most significant determinants of financial distress of manufacturing companies in Indonesia and to provide explanations on this issue by using multiple regression models. With Modigliani and Miller’s and Trade-off theories were reviewed to formulate a testable proposition on the determinants of financial distress of manufacturing companies in Indonesia. Multiple regression models were used as a statistical tool to investigate the most significant profitability determinants of manufacturing companies in Indonesia. The Lisrel software was used to analyze 300 manufacturing companies listed on the Indonesia Stock Exchange. It was found that institutional ownership, firm size, profitability, and board independence as variables had a positive relationship in an effort to avoid financial distress. Meanwhile, the board size variable had an insignificant positive relationship. The findings are consistent with the pecking order and financial agency theory which helps in understanding the application of financial distress studies for manufacturing companies in Indonesia.

scholarly journals 242 Effect of trucking distance on sale price of beef calf and feeder cattle lots sold through video auctions from 2010 through 2018

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 10-11
Author(s):  
Esther D McCabe ◽  
Mike E King ◽  
Karol E Fike ◽  
Maggie J Smith ◽  
Glenn M Rogers ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Average Weight ◽  
Sale Price ◽  
Feeder Cattle ◽  
A Value ◽  
Multiple Regression Models ◽  
Determine Effect

Abstract The objective was to determine effect of trucking distance on sale price of beef calf and feeder cattle lots sold through Superior Livestock Video Auctions from 2010 through 2018. Data analyzed were collected from 211 livestock video auctions. There were 42,043 beef calf lots and 19,680 feeder cattle lots used in these analyses. Six states (Colorado, Iowa, Kansas, Nebraska, Oklahoma, and Texas) of delivery comprised 70% of calf lots and 83% of feeder cattle lots and were used in these analyses. All lot characteristics that could be accurately quantified or categorized were used to develop multiple regression models that evaluated effects of independent factors using backwards selection. A value of P < 0.05 was used to maintain a factor in the final models. Based upon reported state of origin and state of delivery, lots were categorized into one of the following trucking distance categories: 1) Within-State, 2) Short-Haul, 3) Medium-Haul, and 4) Long-Haul. Average weight and number of calves in lots analyzed was 259.2 ± 38.4 kg BW and 100.6 ± 74.3 head, respectively. Average weight and number of feeder cattle in lots analyzed was 358.4 ± 34.3 kg BW and 110.6 ± 104.1 head, respectively. Beef calf lots hauled Within-State sold for more ($169.24/45.36 kg; P < 0.0001) than other trucking distance categories (Table 1). Long-Haul calf lots sold for the lowest (P < 0.0001) price ($166.70/45.36 kg). Within-State and Short-Haul feeder cattle lots sold for the greatest (P < 0.0001) price ($149.96 and $149.81/45.36 kg, respectively; Table 2). Long-Haul feeder cattle lots sold for the lowest (P < 0.0001) price, $148.43/45.36 kg. These results indicate there is a price advantage for lots expected to be hauled shorter distances, likely because of cost and risk associated with transportation.

Multiple regression models for predicting total daily pollen concentration in Cartagena

Grana ◽  
2005 ◽  
Vol 44 (2) ◽  
pp. 108-114 ◽  
Author(s):  
José Manuel Angosto ◽  
Stella Moreno‐Grau ◽  
Javier Bayo ◽  
Belén Elvira‐Rendueles
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Pollen Concentration ◽  
Multiple Regression Models ◽  
Daily Pollen Concentration
Sign in / Sign up

Export Citation Format

Share Document