An Empirical Comparison between Societal Expenditure and Marketing Expenditure on Bank’s Performance

2017 ◽  
Vol 18 (2) ◽  
pp. 509-523 ◽  
Author(s):  
Kaushik Mandal ◽  
Sujata Banerjee
Keyword(s):  
Linear Model ◽  
Performance Status ◽  
Social Concern ◽  
Empirical Comparison ◽  
Market Shares ◽  
Profit Performance ◽  
Social Cause ◽  
Indian Banks ◽  
Log Linear ◽  
The Impact

Marketing expenditure plays a crucial role in determining performance since promotion mix generates market shares and revenues for the brands. But, nowadays, the impact of promotional expenditure is appeared to be non-responsive to influence the revenue and profitability as the consumers are now having ample scopes of escaping advertisement. Moreover consumers prefer the products that are associated with some social cause. Hence the purpose of this paper is to compare the impact of societal and marketing expenditure on profitability. To attain the purpose, we have employed empirical results of various Indian banks by developing a model using profit after tax (PAT), societal and marketing expenses. In particular, we have considered log-linear model as it fits better for all the banks when compared with the linear model. Further, we have compared the profit elasticity between societal and marketing expenses. Finally, association between the profit performance status and the comparative profit contribution at equal expenditure has been tested by employing non-parametric χ² test and Cramer’s V. Result proves the efficiency of ‘expenditure in social concern’ compared to ‘Expenditure in traditional marketing tools’ and hence it suggests for adopting alternative route, that is, societal means of promotion for better customer connect.

scholarly journals Multiple Systems Estimation for Modern Slavery: Robustness of List Omission and Combination

2020 ◽  
pp. 001112872095142
Author(s):  
Serveh Sharifi Far ◽  
Ruth King ◽  
Sheila Bird ◽  
Antony Overstall ◽  
Hannah Worthington ◽  
...  
Keyword(s):  
Linear Model ◽  
Vulnerable Populations ◽  
Simulation Study ◽  
Total Population ◽  
Multiple Systems ◽  
Modern Slavery ◽  
Partial Enumeration ◽  
The Uk ◽  
Log Linear ◽  
The Impact

Performing censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues that arise for the application of MSE to modern slavery where there is little to no overlap of individuals across lists. We investigate the robustness of MSE in terms of the importance of each list and the impact of combining lists on the estimation process. We undertake a simulation study and consider real national modern slavery data from the UK and Romania.

An analysis of growth trend, instability and determinants of rice production in Assam

2017 ◽  
Vol 51 (04) ◽  
Author(s):  
Annesha Mech
Keyword(s):  
Linear Model ◽  
Negative Impact ◽  
Rice Production ◽  
Rice Cultivation ◽  
Growth Trend ◽  
Function Coefficient ◽  
Rice Area ◽  
Yearly Average ◽  
Log Linear ◽  
The Impact

Rice is one of the most dominant crop in Assam occupying about 70 per cent of the net cultivated area. It accounts for about 6 per cent of the national rice area and 4 per cent of production of India. This paper makes an attempt to examine the growth trend, instability and factors influencing rice production in Assam over the period 1972-73 to 2014-15. Annual Compound Growth Rates of area, production and yield is calculated using log-linear function. Coefficient of Variation is employed to assess the instability of rice production in Assam. To estimate the impact of various factors on rice production in Assam, three types of models are used namely linear model, log-linear model and a log-linear model with autocorrelation corrections. In all the models, the dependent variable is rice yield and the independent variables are yearly average rainfall, yearly average temperature of the state; area of rice cultivation in hectare; area covered by HYV seeds in hectare; area covered by irrigation in hectare; fertilizer used in kg per hectare. The estimated result of log-linear model with autocorrelation corrections shows that among the various determinants influencing rice production during the period 1972 to 2014, area under rice cultivation in hectares; area covered by HYV seeds in hectare; fertilizer used in kg per hectare were found to have a positive significant impact on rice production in Assam. Temperature is found to have a negative impact on rice production.

Impact of Training and Development Programmes on the Productivity of Employees in the Banks

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Jaspreet Kaur
Keyword(s):  
Regression Analysis ◽  
Banking Sector ◽  
Human Resources Management ◽  
Training And Development ◽  
Linear Forms ◽  
Knowledge And Skills ◽  
Resources Management ◽  
Level Of Satisfaction ◽  
Log Linear ◽  
The Impact

Manpower training and development is an important aspect of human resources management which must be embarked upon either proactively or reactively to meet any change brought about in the course of time. Training is a continuous and perennial activity. It provides employees with the knowledge and skills to perform more effectively. The study examines the opinions of trainees regarding the impact of training and development programmes on the productivity of employees in the selected banks. To evaluate the impact of training and development programmes on productivity of banking sector, multiple regression analysis was employed in both log as well as log-linear forms. Also the impact of three sets of training i.e. objectives, methods and basics on level of satisfaction of respondents with the training was also examined through employing the regression analysis in the similar manner.

Interrelationship Among Competition, Diversification and Liquidity Creation: Evidence from Indian Banks

2021 ◽  
Vol 15 (2) ◽  
pp. 183-204
Author(s):  
Pankaj Sinha ◽  
Naina Grover
Keyword(s):  
Inverse Relationship ◽  
Consumer Welfare ◽  
Adverse Impact ◽  
Public And Private ◽  
Jel Codes ◽  
Trade Off ◽  
Private Banks ◽  
Indian Banks ◽  
The Impact

This study analyses the impact of competition on liquidity creation by banks and investigates the dynamics between diversification, liquidity creation and competition for banks operating in India during the period from 2005 to 2018. Using the broad and narrow measures of liquidity creation, an inverse relationship is determined between liquidity creation and competition. The study also indicates a trade-off between pro-competitive policies to improve consumer welfare and the liquidity-destroying effects of competition, and it highlights how diversification affects liquidity creation. Highly diversified banks in India create less liquidity compared with less-diversified banks, both public and private. The liquidity-destroying effects of competition is intensified among highly diversified private banks, which suggest that diversification has not moderated the adverse impact of competition. JEL Codes: G01, G18, G21, G28

scholarly journals RADT-23. IMPACT OF REIRRADIATION UTILIZING STEREOTACTIC RADIOSURGERY ON RECURRENT GLIOBLASTOMA

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii186-ii186
Author(s):  
O’Dell Patrick ◽  
H Nickols ◽  
R LaRocca ◽  
K Sinicrope ◽  
D Sun ◽  
...  
Keyword(s):  
Stereotactic Radiosurgery ◽  
Median Survival ◽  
High Performance ◽  
Performance Status ◽  
Treatment Options ◽  
Methylation Status ◽  
Initial Therapy ◽  
Recurrent Glioblastoma ◽  
Control Group ◽  
The Impact

Abstract BACKGROUND Patients who have recurrent glioblastoma have limited treatment options. We conducted a retrospective review of patients with recurrent glioblastoma treated with standard initial radiation and temozolomide with tumor treating fields to investigate whether reirradiation using radiosurgery would be associated with improved outcomes. METHODS We reviewed the records of 54 consecutively treated patients with recurrent glioblastoma with ECOG 0 or 1 at recurrence and conducted Kaplan-Meier analysis with Log-rank testing to determine significance between groups. RESULTS We identified 24 patients who were treated without radiation therapy (control) while 30 patients underwent re-irradiation using radiosurgery (ReSRS) with a median total dose of 25Gy in five fractions. All patients had completed standard initial therapy, and there was no difference in the time to recurrence between the two groups (10 months for control, 15 months for ReSRS, [P = 0.17, HR for progression 0.65 (95% CI 0.38-1.13)]. A larger proportion of patients in the control arm (54%) had subtotal or gross total resection of the recurrence compared with the ReSRS group (44%, P < 0.05). The majority of patients had recurrence confirmed with biopsy (18/22 in control group, 25/31 in the ReSRS group). MGMT methylation status did not differ between control vs ReSRS (29% vs. 27%). ReSRS was associated with improved median survival from the time of first recurrence of 11.6 months versus 3.8 months in the control arm [P< 0.0001, HR for death 0.33 (95% CI 0.18-0.6)]. CONCLUSIONS In a group of patients with high performance status diagnosed with recurrent glioblastoma, reirradiation with stereotactic radiosurgery was associated with nearly one year median survival after recurrence. Additional analyses are warranted to determine the impact of concurrent systemic therapies with irradiation and underlying tumor or patient factors to predict outcomes.

Selection of models to describe the temperature-dependent development of Neoleucinodes elegantalis (Lepidoptera: Crambidae) and its application to predict the species voltinism under future climate conditions

2021 ◽  
pp. 1-9
Author(s):  
Hevellyn Talissa dos Santos ◽  
Cesar Augusto Marchioro
Keyword(s):  
Climate Change ◽  
Linear Model ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Temperature Dependent ◽  
Dependent Development ◽  
Degree Day ◽  
Non Linear ◽  
The Impact

Abstract The small tomato borer, Neoleucinodes elegantalis (Guenée, 1854) is a multivoltine pest of tomato and other cultivated solanaceous plants. The knowledge on how N. elegantalis respond to temperature may help in the development of pest management strategies, and in the understanding of the effects of climate change on its voltinism. In this context, this study aimed to select models to describe the temperature-dependent development rate of N. elegantalis and apply the best models to evaluate the impacts of climate change on pest voltinism. Voltinism was estimated with the best fit non-linear model and the degree-day approach using future climate change scenarios representing intermediary and high greenhouse gas emission rates. Two out of the six models assessed showed a good fit to the observed data and accurately estimated the thermal thresholds of N. elegantalis. The degree-day and the non-linear model estimated more generations in the warmer regions and fewer generations in the colder areas, but differences of up to 41% between models were recorded mainly in the warmer regions. In general, both models predicted an increase in the voltinism of N. elegantalis in most of the study area, and this increase was more pronounced in the scenarios with high emission of greenhouse gases. The mathematical model (74.8%) and the location (9.8%) were the factors that mostly contributed to the observed variation in pest voltinism. Our findings highlight the impact of climate change on the voltinism of N. elegantalis and indicate that an increase in its population growth is expected in most regions of the study area.

Asymptotic results for a conditional Poisson log-linear model

1989 ◽  
Vol 7 (4) ◽  
pp. 267-270 ◽  
Author(s):  
Douglas G Bonett ◽  
P.M Bentler ◽  
J.Arthur Woodward
Keyword(s):  
Linear Model ◽  
Asymptotic Results ◽  
Log Linear ◽  
Conditional Poisson
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