scholarly journals Factors affecting the reduction range in biddings in Ca Mau province

2017 ◽  
Vol 1 (Q3) ◽  
pp. 24-33
Author(s):  
Hoang Phuoc Nguyen
Keyword(s):  
Asymmetric Information ◽  
Regression Model ◽  
Multiple Regression ◽  
Public Investment ◽  
Legal Framework ◽  
Multiple Regression Model ◽  
Policy Implications ◽  
Price Reduction ◽  
Factors Affecting ◽  
Total Investment

The objective of this paper is to examine factors affecting the price reduction range in biddings in Ca Mau province by bidding organizers. Based on theory of asymmetric information by Acerola (1970), we employed multiple regression model on data of 500 bid packages in Ca Mau from 2009 to 2016 to test hypotheses. The results indicate the number of participating bidders (N), funds allocated for bid packages (C), owner (O), and the total investment (TI) are positively related to the reduction range (RR). In addition, bid decider (D)and contracting time (CT) are negatively related to the reduction range (RR) while type of project (GP) has no impact. The paper offers some policy implications to improve the efficiency of the bidding activities and suggestions to authorities concerning legal framework on public investment so as to better manage public investment.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

scholarly journals Research on Consumer Behavior of Wine in HoChiMinh City

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Pham Ngoc Duong ◽  
Tran Ngoc Tu
Keyword(s):  
Consumer Behavior ◽  
Discriminant Analysis ◽  
Regression Model ◽  
Multiple Regression ◽  
Multiple Regression Model ◽  
Ho Chi Minh City ◽  
Analysis Method ◽  
Factors Affecting ◽  
Discriminant Analysis Method ◽  
The Relationship

This study was conducted to find out the factors affecting the consumers’ choice of wine in HoChiMinh City, Vietnam. The multiple regression model was not statistically significant for finding the relationship between the factors and the Money spent on wine, so discriminant analysis method was used to evaluate the contribution of factors to the differentiation between consumers’ group presented by average bottle consumed per month. The Symbolic benefit factor turned out to be the strongest, followed by Enjoyment benefit factor and Utilitarian & Experiental benefit factor. The findings were used to provide suggestions for wine marketers in Ho Chi Minh City market.

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