Browsing by Author "Manonmani, M"

Now showing 1 - 20 of 69
  • No Thumbnail Available
    Item
    Analysis of Elasticities in the Agro-Based Consumer Goods Industries of India in the Pre and Post Liberalization Period
    (2011) Manonmani, M
    This study was undertaken with the objective of analyzing elasticities such as output, employment and wage in the agro-based consumer goods industries of India in the pre and post liberalization period. The pre liberalization period covers between 1974-75 and 1990-91 and post liberalization period covers between 1991-92 and 2007-08. ASl data were used for purpose of the analysis. Multiple regression model was applied to analyse the data relating to employment elasticity, output elasticity and wage elasticity. It was found that all the selected industries have shown both positive and negative elasticities with respect to output, wage and employment.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Analysis of Perfomance of Aggregate Manufacturing Sector of India in the Pre and Post Liberalisation Period by Testing Select Indicators of Industrial Growth
    (2014) Manonmani, M
    Since Independence India has achieved self sufficiency in the manufacturing sector. It is assumed that growth is needed in manufacturing sector to eliminate poverty. Hence an attempt in this paper is made to analyse the performance of aggregate manufacturing sector of India considering the pre and post liberalisation period by testing certain indicators of development such as ability to pay hypothesis, verdoorn's law, and wagetechnology relationship. The reference period of the shidy for the pre liberalization covers between 1972-73 and 199-91 and post liberalization period between 1991-92 and 2010-11. Augmented Dicky Fuller (ADF) test and linear regression model were applied to analyse the data. It was found that labour productivity influenced the level of wage strongly in both the periods. In both the periods' verdoorns law was approved. It was concluded that productivity can be augmented only through employment generation and higher wages.
  • No Thumbnail Available
    Item
    Analysis of Productivity in Indian Industries
    (2012) Manonmani, M
    An attempt has been made to analyse determinants o f productivity based on the indices o f partial and total factor productivity in rural, urban and aggregate industries o f India fo r the reference period between 1998-99 and 2007-08. Multiple linear regression model was applied to analyse the data. To find out the average annual growth rate in partial as well as total factor productivity , exponential growth function was applied. It was found that the trend rates o f partial and total factor productivity indices were positive.The analysis also revealed an inverse relationship between labour productivity and unit- labour cost in these industries. Significant relationship existed between all forms o f productivity indices and the major factors which influence productivity. It was concluded that the productivity o f capital and total factor productivity may be taken into account along with labour productivity while granting wage increase so that wage increa.se is not o f inflationary nature. In order to boost the total factor productivity growth there is a pressing need to harmonise the industrial relations with workers and management In this context, amendments in labour laws,greater participation o f workers in management and rehabilitation o f workers especially in case o f disinvestment o f public sector units are some spheres which require quick attention o f policy makers to create conducive environment.
  • No Thumbnail Available
    Item
    Analysis of Productivity in Indian Industries
    (2012) Manonmani, M
    An attempt has been made to analyse determinants o f productivity based on the indices o f partial and total factor productivity in rural, urban and aggregate industries o f India fo r the reference period between 1998-99 and 2007-08. Multiple linear regression model was applied to analyse the data. To find out the average annual growth rate in partial as well as total factor productivity , exponential growth function was applied. It was found that the trend rates o f partial and total factor productivity indices were positive.The analysis also revealed an inverse relationship between labour productivity and unit- labour cost in these industries. Significant relationship existed between all forms ofproductivity indices and the major factors which infiuence productivity. It was concluded that the productivity o f capital and total factor productivity may be taken into account along with labour productivity while granting wage increase so that wage increase is not o f infiationary nature. In order to boost the total factor productivity growth there is a pressing need to harmonise the industrial relations with workers and management In this context, amendments in labour laws,greater participation o f workers in management and rehabilitation o f workers especially in case o f disinvestment o f public sector units are some spheres which require quick attention o f policy makers to create conducive environment.
  • No Thumbnail Available
    Item
    An Analysis On High Technology Industries In India
    (2014-03) Suganya, D; Manonmani, M
  • No Thumbnail Available
    Item
    Clothing Practices of Rural Families
    (1980-05) Manonmani, M; Raji, R
  • No Thumbnail Available
    Item
    Co-integration and Error Correction Models:The Temporal Causality between Wage and Productivity in the Wood and Wood Products Manufacturing sector in Tamilnadu
    (2012) Manonmani, M; Geetha, K T
    The present study attempts to analyse the problem at the regional level by concentrating on one particular state namely, Tamil Nadu. Further, there are few studies in the past that have attempted to analyse the productivity and wage relationship at individual industry level. A study o f the individual industries at regional level was therefore, attempted to have a better understanding o f the problem, so as to delineate the area for remedial action. The reference period o f the study was from 1979-80 to 2008-09. In order to clearly understand the links between wages and productivity in selected industries, this study has used a simple econometric analysis namely, step-wise regression i model. The wage-productivity relationship that existed in the manufacture o f Wood and Wood products in majority o f i the cases (either insignificant or negative) disproved the hypothesis that wage rate (Lnw) was significantly related to labour productivity (LnGVA/L). This explained the fact that there were factors other than those considered in [ this model that have influenced the real wage rate (Lnw) in this industry.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Crisis of Agriculture
    (2015) Manonmani, M
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Deterivrinants of Farm Productivity in Organic and Inorganic Farming System
    (2014) Manonmani, M
    The major objective ol’ this study was to determine the major common factors intluencing the land productivity of Vellore region located in the state of 'familnadu across organic and inorganic cultivation and to suggest some policy measures to promote organic farming, fhe sample size consisted of farmers adopting 23 organic and 20 inorganic farming system. Discriminant analysis was carried out to analyse the data. It was found that land size, number of labourers employed, number of implements used and output were the highest discriminating variables. It was suggested that that there is more scope for organic farming with proper training and knowledge through research. Organic farmers are best practitioners as well and they realize greater average yields.
  • No Thumbnail Available
    Item
    Determinants of Industrial Productivity in India Before and After Liberalisation - An application of Discriminant Function
    (2012) Manonmani, M
    A well developed industrial sector covering various different areas is vital to economic development of a country. Since a variety of different industrial sectors are connected with each other thorough inter dependence of demand and supply, a well balanced industrial growth is at the centre of economic development. Estimation and analysis Productivity growth and productivity differential in manufacturing sector have been the most popular areas of applied economic research as it is based on the well-defined analytical framework of the standard economic theory ofproductivity. The reference period chosen for the study covers both pre and post liberalization period. The pre liberalization period covers between 1972-73 and 1990-91 and post liberalization period between 1991-92 and 2009-10. In this paper, a Discriminant Function Analysis is applied to find out the dominant factors which determine the productivity in manufacturing sector of Indian states. It was found that time factor was the first dominant factor to determine the pre and post liberalization period labour productivity. Both in the pre and post liberalization period capital productivity was dominated by wage rate. In determining the total factor productivity net value added was the prime factor between pre and post liberalization period.
  • No Thumbnail Available
    Item
    Determinants of Industrial Productivity in India Before and After Liberalisation - An application of Discriminant Function
    (2012) Manonmani, M
    A well developed industrial sector covering various different areas is vital to economic development o f a country. Since a variety o f different industrial sectors are connected with each other thorough inter dependence o f demand and supply, a well balanced industrial growth is at the centre o f economic development. Estimation and analysis Productivity growth and productivity differential in mamfacturing sector have been the most popular areas o f applied economic research as it is based on the well-defined analytical framework o f the standard economic theory o f productivity The reference period chosen fo r the study covers both pre and post liberalization period. The pre liberalization period covers between 1972-73 and 1990-91 and post liberalization period between 1991-92 and 2009-10. In this paper, a Discriminant Function Analysis is applied to fin d out the dominant factors which determine the productivity in manufacturing sector o f Indian states. It was found that time factor was the first dominant factor to determine the pre and post liberalization period labour productivity. Both in the pre and post liberalization period capital productivity was dominated by wage rate. In determining the total factor productivity net value added was the prime factor between pre and post liberalization period.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Determinants of Industrial Profitability Before and After Liberalization In Tamil Nadu - An Application of Discriminant Function
    (2014) Manonmani, M
    In this paper an attempt is made to analyse the major detemiinanls of profitability in the aggregate manufaeturing sector of Tamil Nadu between the pre-liberalization period (1978-80 to 1990-91) and post-liberalization period (1991-92 to 2011-2012). This study was based on ASI data. The major findings of the study were that excepting lagged labour productivity, the other variables such as lagged profit level and number of workers were capable to distinguish pre and post liberalization period profit level. The variable lagged capital productivity having negative sign implied that this variable acted as a supressed variable. Lagged labour productivity was the first dominant factor to determine profit level of both the periods.lt is conclude that in order to improve the profit level of the manufacturing sector of the state of Tamil Nadu in future, it can rely more on the previous year labour productivity.
  • No Thumbnail Available
    Item
    Different Forms of Efficiency in the Manufacture of Furniture Products in India - An Application of DEA
    (2014) Manonmani, M
    The Indian furniture business has been witnessing a virtually exponential expansion in the recent years. The business demands the utilization of variegated uncooked supplies and that as well in incredibly large proportions. 'Ihe furniture market as a total needs wood, leather-based, wooden foundation panel, metals, textiles, plastics and several other elements in fantastic source. Wooden furniture is commonly of assorted types, lorms, measurements and even coloration combinations. These include things like chairs, wardrobes, kitchen area cabinets, tables and various other Indian Wooden Furniture goods. Iliey serve different uses at homes, colleges, colleges, offices and other corporations. Ihe Indian furniture sector has been productioji and exporting substantial good quality turniture products to all above the globe. In simple tact, over the many years, Indian wooden furniture has formulated an identity for itself and found spot in the houses of royals and commoners as effectively.
  • No Thumbnail Available
    Item
    Dynamics of Industrial Productivity In India
    (2011-04) Anitha, K; Manonmani, M
  • No Thumbnail Available
    Item
    Economic Contribution of Government Department Enterprises in India
    (2016) Manonmani, M
    This study analyzes the productivity and production function in India's manufacturing sector with particular reference to performance of government department enterprises. The data source for the study is Annual Survey of Industries (ASl) of the Central Statistical Organization (CSO), Government of India and covered the period 2001-02/ 2012-13. Cobb-Douglas production function was applied to measure the productivity ratios and technical progress. Marginal productivity of labor varied between 0.157 units and 8.416 units across the years. These enterprises recorded marginal productivity of capital o f 2.1862 units. The average capital intensity ratio was found to be 3.919. Organizational efficiency in the sector was found high.