
Balu AnthonyTagore College of Arts and Science, Chennai · Economics
Balu Anthony
M. A., M.F.T., M.Sc., M.Phil., SET., NET., Ph. D.
About
10
Publications
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16
Citations
Introduction
Additional affiliations
January 2013 - present
GRABS Educational Charitable Trust
Position
- Research Associate
Publications
Publications (10)
Purpose
This study aims to examine the relationship between law enforcement expenditures, economic indicators and various crime rates in India using data from the National Crime Records Bureau (NCRB) spanning from 2001 to 2021.
Design/methodology/approach
The study uses data sourced from the NCRB covering violent crimes, property crimes, economic...
Purpose
The purpose of this paper is to examine the structure of employment in the most urbanised state in India during the period 1983 to 2010. The paper also analyses the determinants of growth of farm employment in urban areas in the state of Tamil Nadu.
Design/methodology/approach
The paper compares trends in employment in Tamil Nadu with th...
This volume contains 11 research papers focuses on FDI in retail sector, growth of retail sector, entrepreneurial motivation, self-employment intention, corporate governance, SSI schemes, water management, mergers and acquisitions, stock exchange and health care service quality. The contributions made by researchers in the field, the essays provide...
This volume contains 23 research papers focuses on agricultural productivity, food security, rural poverty, efficiency of manufacturing sector, socio-economic conditions of workers in unorganized sector, unemployment problems, employment challenge and various aspects of unorganized sector in India. The contributions made by researchers in the field...
the hypothesis of jobless growth in the organised manufacturing sector (OMS) in the State of Tamil Nadu (T.N.), the paper finds that there is some evidence of jobless growth in the post-reform years (1994-2006). However, in both the pre-reform period (1983-93) and the combined period of 1983-2006 there is growth with employment generation. The resu...
Work life balance becoming an
area of growing concern in the Information
Technology (IT) and Information
Technology Enabled Services
sector (ITeS). The present paper
provides a greater understanding
of the work-life balance of
women employees in IT and ITeS industries.
An experiential survey of
80 IT employees and 80 ITeS employees
was carried out....
Analysing the district level data for the state of Tamil Nadu (T. N.) for its industrial performance in the unorganised manufacturing units for the period 2001-06, the paper finds that of the 29 districts, as many as 17 districts, have registered positive growth rate both in employment and value added. This has contributed to a positive employment...
Analysing the ASI data for the state of T.N. at 2-digit industry level, the paper finds that despite a relative decline in the growth of employment, value added and labour productivity, there is an increase in the employment elasticity (EE) during the post-reform years (1994-2006). Thus, although the post-reform growth in these variables is less th...
Using the district data on industrial production for the organised manufacturing sector (OMS) in Tamil Nadu the paper identifies areas which have experienced jobless growth. Examining the inter-district variations in the performance of OMS units in the state, the paper identifies districts which have fared better both in terms of labour productivit...
Questions
Questions (6)
Generally, not many researchers do it. Usually, the findings of the study are based on the samples only.
The sample used here is Stratified Random Sampling.
Should we have to take appropriate weights and results may be generalized for the population?
Data on income for two regions (cross-section data) show large variations. Should one apply percentile transformation to run binary regression? Only one value-based variable (income) in the model.
Snowball sampling method is used to study of hidden populations.
To study work life balance among women live with their husbands and separated women, I am planning to obtain ‘work life balance’ responses on a metric (1-5) scale. Which test (ANOVA, Chi Square, and Regression) can be applied to analyse the difference
ANOVA can be used when we obtain responses on a metric scale (1-5).
Chi Square test can be used when we obtain responses on a non-metric (e.g. satisfied and dissatisfied).
Journals expect a theoretical link to research-based evidence.
Data cleaning is required in the econometric model.