Papers by Reji Bhuvanendran
This study identifies the determinants of contraceptive usage in India based on the data from all... more This study identifies the determinants of contraceptive usage in India based on the data from all the three consecutive rounds of National Family Health Surveys. Along with understanding the deterministic factors of contraceptive use in India, the pattern of change spread over the two recent decades in their influence on determining contraceptive usage is also highlighted in this study. Binary logistic regression was used in order to measure the likelihood of contraceptive usage by each of the independent variables. Though the level of influence of each independent variable varied across the three surveys, most of the variables considered were found to be significant. The development indicators show a major influence on the contraceptive usage throughout the period under study. More specifically, the education and occupation of not only the respondent, but also of their spouse found to be significant predictors of contraceptive usage. Also, exposure to mass media is an influencing f...
The rapid growth of population, increasing life expectancy, decreasing fertility rate, etc. in In... more The rapid growth of population, increasing life expectancy, decreasing fertility rate, etc. in India resulted into structural changes in age composition of population. Gradual shrink of child and youth population and rapid increase of elderly accelerate the percentage of dependent population. The share of India's population aged 60 years and older is projected to climb from 8 percent in 2010 to 19 percent in 2050. The economic and social welfare of the elderly people and of society more generally seem tenuous in the face of low labour force participation, reliance on younger generations for support, and new and emerging diseases. The paper closely examines the profound shift in age composition and its economic impact on the basis of various dependency measures. Census, 2011 and Third Annual Employment-Unemployment Survey, 2012-13 data were used to measure various dependency ratios. The research indicates that the dependency among youth (15-29 years) and females are severe in nature.
Indian Journal of Economics and Development, 2019
Objectives : Tea workers in India are plagued with the problem of poor wages which resulted in po... more Objectives : Tea workers in India are plagued with the problem of poor wages which resulted in poor living and working conditions. The tea plantation workers and their families of North East are brewing starvation and related deaths. This study offers an evidence based analysis pertaining to wages in tea plantation in India. Methods/Analysis: Wages of workers mostly dependent on various factors such as cost of living, industrial/geographical competitiveness, profit, etc. In order to study the level and movement of wages in tea plantation industry and wage difference between north India and south India, various statistical techniques such as averages, percentage changes, graphical techniques, correlation, Linear Regression model (wage elasticity) etc. are used to explore the results. Findings: This study found that among the plantation sector, tea workers are paid the lowest especially in north-east region. The unfair wage pattern, lack of interest from management, lack of implementa...
Background/Objectives : In official statistics, seasonal adjustment technique is usually employed... more Background/Objectives : In official statistics, seasonal adjustment technique is usually employed to explore the seasonality characteristic of a time series. This paper attempts to analyse the seasonality characteristics of Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100). This is commonly used for calculation of inflation and dearness allowance fixation of government employees as well as industrial workers all around the country. Method/Statistical Analysis: United States’ Bureau of the Census developed a model called X-12 ARIMA intended to explore seasonality of a time series. This econometric model helps the economist to determine the presence and strength of seasonality of a time series. Findings : The results of X-12 ARIMA indicate that the Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100) contains identifiable seasonality, whereas the series have no indication of substantial moving seasonality. Improvement/ Applications : To s...
Cleaner Production Technologies : NITTTR Chandigarh, 2009
Solid waste management in Chandigarh - Present and Future Perspectives presented at National Conf... more Solid waste management in Chandigarh - Present and Future Perspectives presented at National Conference on Clean Production Technologies, NITTTR, Chandigarh, 17-18th Nov, 2009.
National Conference on Smart EnergyAt: Chitkara Institute of Engineering and Technology, Rajpura, Punjab, 2010
Municipal Solid Waste Management: Projection of Methane Emission from Landfill Disposal System in... more Municipal Solid Waste Management: Projection of Methane Emission from Landfill Disposal System in Chandigarh, Published in Proceeding of National Conference on Smart Energy, CIET, Punjab, 15-16th January, 2010.
publication descriptionIndian Journal of Economics and Development, 2018
Background/Objectives: In official statistics, seasonal adjustment technique is usually employed ... more Background/Objectives: In official statistics, seasonal adjustment technique is usually employed to explore the seasonality characteristic of a time series. This paper attempts to analyse the seasonality characteristics of Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100). This is commonly used for calculation of inflation and dearness allowance fixation of government employees as well as industrial workers all around the country.
Method/Statistical Analysis: United States’ Bureau of the Census developed a model called X-12 ARIMA intended to explore seasonality of a time series. This econometric model helps the economist to determine the presence and strength of seasonality of a time series.
Findings: The results of X-12 ARIMA indicate that the Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100) contains identifiable seasonality, whereas the series have no indication of substantial moving seasonality.
Improvement/ Applications: To study the underlying trends of the time series, one can make use of the model’s output such as seasonally adjusted series, trend cycle, etc. to explore the underlying developments in the economy in a different perspective. Another scope of this study is to explore the monthly growth rate of original series as well as component series. Hence, enable one to study and understand short span of series, detect change in trend, etc.
publication descriptionIndian Journal of Economics and Development, 2019
Objectives: Tea workers in India are plagued with the problem of poor wages which resulted in poo... more Objectives: Tea workers in India are plagued with the problem of poor wages which resulted in poor living and working conditions. The tea plantation workers and their families of North East are brewing starvation and related deaths. This study offers an evidence based analysis pertaining to wages in tea plantation in India. Methods/Analysis: Wages of workers mostly dependent on various factors such as cost of living, industrial/geographical competitiveness, profit, etc. In order to study the level and movement of wages in tea plantation industry and wage difference between north India and south India, various statistical techniques such as averages, percentage changes, graphical techniques, correlation, Linear Regression model (wage elasticity) etc. are used to explore the results. Findings: This study found that among the plantation sector, tea workers are paid the lowest especially in north-east region. The unfair wage pattern, lack of interest from management, lack of implementation of laws by the state governments and also lack of effective monitoring by union government have driven workers into absolute penury. Crisis in Indian tea industry due to stiff competition, increase cost of production, decrease in tea price and consequent closing down of several tea plantations by reason of global over supply. Beside these causes, the inefficient wage determination model (collective bargaining) & closing down of tea estates in North East have resulted in large scale starvation deaths of tea workers in North eastern region. Therefore, the Government and tea plantation owners need to address the issues that continue to threaten the tea plantation worker community. This may help to dissolve all the prevailing issues of tea plantation workers which will end the silent epidemic of starvation deaths. Novelty/Improvement: This study attempts to explore the wage pattern and related issues among Indian tea plantation labours. In tea plantation, a female dominant sector, the wage rates are lowest among other plantation sectors. This indicates the gender gap in wage in plantation sector needs to be addressed.
Energy demand in India has been growing at a very rapid rate over a few decades. The trends in po... more Energy demand in India has been growing at a very rapid rate over a few decades. The trends in population growth, industrialization, Urbanization, growth in national income and energy consumption is expected to increase substantially in the coming years. This paper attempts to study the historical pattern of energy consumption, energy production and GDP growth since 1970-71 and also calculates the energy elasticity of India.
National Conference on Smart Energy -Generation, Promotion and Conservation -2010, 2010
The need of the day is to construct a building which typically contributes to improve a common m... more The need of the day is to construct a building which typically contributes to improve a common mans health, comfort and productivity. "Green" or "sustainable" buildings use key resources like energy, water, materials, and land more efficiently than buildings that are just built to code. Green building now integrates a wide range of building design, construction, and operation and maintenance practices to provide healthier living and working environments and minimize environmental impacts. Crucial to the success of green building has been the application of integrated design principles which create buildings that dramatically lower energy consumption, use renewable energy, conserve water, harness natural sources of light and ventilation use environmentally preferable materials, minimize waste and create healthy and productive environments. Thus this paper mainly discusses the different energy efficient techniques in lighting heating and cooling systems that can be implemented to obtain an energy efficient sustainable building.
International Journal of Research in Electrical & Electronics Engineering, 2013
Over a few decades the energy demand in India has been growing at a very rapid rate. In the forth... more Over a few decades the energy demand in India has been growing at a very rapid rate. In the forthcoming years the trends in population growth, industrialization, urbanization, growth in national income and energy consumption is expected to increase substantially. This paper attempts to study the historical pattern of energy consumption, energy production and GDP growth since 1970-71 and also calculates the energy elasticity of India for 1970 to 2012.
International Journal of Interdisciplinary and Multidisciplinary Studies, 2014
This study identifies the determinants of contraceptive usage in India based on the data from all... more This study identifies the determinants of contraceptive usage in India based on the data from all the three consecutive rounds of National Family Health Surveys. Along with understanding the deterministic factors of contraceptive use in India, the pattern of change spread over the two recent decades in their influence on determining contraceptive usage is also highlighted in this study. Binary logistic regression was used in order to measure the likelihood of contraceptive usage by each of the independent variables. Though the level of influence of each independent variable varied across the three surveys, most of the variables considered were found to be significant. The development indicators show a major influence on the contraceptive usage throughout the period under study. More specifically, the education and occupation of not only the respondent, but also of their spouse found to be significant predictors of contraceptive usage. Also, exposure to mass media is an influencing factor for contraceptive usage. As the number of mass media to which the respondent exposed went up, the chances of adopting a contraceptive method also increased. Also, the low human development index from the states of central region confirms the role of overall development in determining contraceptive usage.
INTERNATIONAL JOURNAL OF RESEARCH IN COMMERCE, ECONOMICS & MANAGEMENT, 2016
The rapid growth of population, increasing life expectancy, decreasing fertility rate, etc. in In... more The rapid growth of population, increasing life expectancy, decreasing fertility rate, etc. in India resulted into structural changes in age composition of population.
Gradual shrink of child and youth population and rapid increase of elderly accelerate the percentage of dependent population. The share of India’s population aged
60 years and older is projected to climb from 8 percent in 2010 to 19 percent in 2050. The economic and social welfare of the elderly people and of society more
generally seem tenuous in the face of low labour force participation, reliance on younger generations for support, and new and emerging diseases. The paper
closely examines the profound shift in age composition and its economic impact on the basis of various dependency measures. Census, 2011 and Third Annual
Employment - Unemployment Survey, 2012-13 data were used to measure various dependency ratios. The research indicates that the dependency among youth
(15-29 years) and females are severe in nature.
Perspectives on population Gender empowerment and Health in South India, 2004
Research paper using Multiple Classification Analysis model entitled as “Determinants of Fertilit... more Research paper using Multiple Classification Analysis model entitled as “Determinants of Fertility among Sterilized and Non-fecund Couples in South India”, as a Chapter in Book entitled “Perspectives on population Gender empowerment and Health in South India”
Uploads
Papers by Reji Bhuvanendran
Method/Statistical Analysis: United States’ Bureau of the Census developed a model called X-12 ARIMA intended to explore seasonality of a time series. This econometric model helps the economist to determine the presence and strength of seasonality of a time series.
Findings: The results of X-12 ARIMA indicate that the Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100) contains identifiable seasonality, whereas the series have no indication of substantial moving seasonality.
Improvement/ Applications: To study the underlying trends of the time series, one can make use of the model’s output such as seasonally adjusted series, trend cycle, etc. to explore the underlying developments in the economy in a different perspective. Another scope of this study is to explore the monthly growth rate of original series as well as component series. Hence, enable one to study and understand short span of series, detect change in trend, etc.
Gradual shrink of child and youth population and rapid increase of elderly accelerate the percentage of dependent population. The share of India’s population aged
60 years and older is projected to climb from 8 percent in 2010 to 19 percent in 2050. The economic and social welfare of the elderly people and of society more
generally seem tenuous in the face of low labour force participation, reliance on younger generations for support, and new and emerging diseases. The paper
closely examines the profound shift in age composition and its economic impact on the basis of various dependency measures. Census, 2011 and Third Annual
Employment - Unemployment Survey, 2012-13 data were used to measure various dependency ratios. The research indicates that the dependency among youth
(15-29 years) and females are severe in nature.
Method/Statistical Analysis: United States’ Bureau of the Census developed a model called X-12 ARIMA intended to explore seasonality of a time series. This econometric model helps the economist to determine the presence and strength of seasonality of a time series.
Findings: The results of X-12 ARIMA indicate that the Consumer Price Index Numbers for Industrial Workers (CPI-IW base 2001=100) contains identifiable seasonality, whereas the series have no indication of substantial moving seasonality.
Improvement/ Applications: To study the underlying trends of the time series, one can make use of the model’s output such as seasonally adjusted series, trend cycle, etc. to explore the underlying developments in the economy in a different perspective. Another scope of this study is to explore the monthly growth rate of original series as well as component series. Hence, enable one to study and understand short span of series, detect change in trend, etc.
Gradual shrink of child and youth population and rapid increase of elderly accelerate the percentage of dependent population. The share of India’s population aged
60 years and older is projected to climb from 8 percent in 2010 to 19 percent in 2050. The economic and social welfare of the elderly people and of society more
generally seem tenuous in the face of low labour force participation, reliance on younger generations for support, and new and emerging diseases. The paper
closely examines the profound shift in age composition and its economic impact on the basis of various dependency measures. Census, 2011 and Third Annual
Employment - Unemployment Survey, 2012-13 data were used to measure various dependency ratios. The research indicates that the dependency among youth
(15-29 years) and females are severe in nature.