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Manonmani, M.
- Transport Equipment Industry of India in the Era of Globalization
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Affiliations
1 Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore 641043, IN
1 Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore 641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 48, No 1 (2012), Pagination: 36-42Abstract
This paper concentrates on testing returns to scale, elasticity of substitution and efficiency wage hypothesis (according to which the co-efficient of wage rate is more than of capital intensity) in transport equipment industry. Augmented Dickey Fuller Test, Cobb-Douglas Production Function, Constant Elasticity of Substitution (CES) and Variable Elasticity of Substitution (VES) were applied for the period 1991/92-2008/09. The increasing returns to scale of the industry was proved with the significant co-efficient of labor input. There was neutral technical progress. Co-efficient of wage rate was statistically significant. Its numerical value was close to unity indicating unitary elasticity of substitution. The results of VES production function supported the hypothesis of efficiency-wage.
References
- Kmenta, J. (1967),”On Estimation of the CES Production Function”, International Economic Review, 8(2):180-189
- Narayan, Lakshmi (2003), “Productivity and Wages in Indian Industries”, Discovery Publishing House, New Delhi.
- Panda, Hrushikesh (2001), “Technology, Factor Substitution and Employment Generation at the Firm Level : A Case of Automobile Industry in India”, The Indian Journal of Labor Economics, 40 (2): 205-20.
- Wage-Productivity Linkages in Indian Industries
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Authors
Affiliations
1 Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, IN
1 Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 47, No 3 (2012), Pagination: 450-458Abstract
This paper examines wage- productivity linkages in rural, urban and aggregate industries of India covering the period from1998-99 to 2007-08. In order to clearly understand the links between wages and productivity in selected industries, the study had used a simple step-wise regression model. Based on the results obtained it was suggested that nation-wide linkage of wages with productivity may be the best option for neutralization of a rise in the cost of living. The productivity of capital and total factor productivity may be taken into account along with labour productivity while granting wage increase so that wage increase is not of inflationary nature. Effective utilization of capital should be the correct criterion for a country like India where capital is a scarce factor.References
- Laxmi Narayan (2003), Productivity and Wages in Indian Industries, Discovery Publishing House, New Delhi.
- Krishnamurthy, V. (2007), “Manufacturing Sector in India: A Review”, Industrial Herald, (21)(2) : 43-57.
- Efficiency of India’s Intermediate Goods Industries in the Liberalized Regime
Abstract Views :212 |
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Authors
M. Manonmani
1,
M. Ramya
1
Affiliations
1 Department of Economics, Avinashilingam Deemed University for Women, Coimbatore-641043, IN
1 Department of Economics, Avinashilingam Deemed University for Women, Coimbatore-641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 46, No 3 (2011), Pagination: 435-449Abstract
This study analyses the technical scale, cost and allocative efficiencies of select Indian intermediary goods industries such as manufacture of chemical and chemical products, paper and paper products, leather and leather products and non-metallic mineral products in the liberalized regime between 1991-92 and 2005-06. The efficiency scores were obtained by applying Data Envelopment Approach (DEA). It was found that for the entire period, technical, scale, cost and allocative efficient Decision Making Units were more under variable returns to scale (VRS) than under constant returns to scale (CRS) production technology.References
- Central Statistical Organisation (CSO), Annual Survey of Industries (ASI),various issues, Government of India, New Delhi.
- Eleventh Five Year Plan (2007-12) Agriculture, Rural Development, Industry, Services and Physical Infrastructure, Volume III, Government of India.
- Ministry of Finance, Economic Survey, various issues, Government of India, New Delhi.
- Charnes, A. Cooper, W. W. & Rhodes E. (1978), “Measuring the Efficiency of Decision Making Units”, European Journal Of Operation Research, 2: 429-44.
- Banker, R. D. Charnes, A. & Cooper, W.W. (1984), “Some Models for Estimating Technical & Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30:1078-2092.
- Efficiency in Agro-Based Consumer Goods Industries of Tamil Nadu
Abstract Views :231 |
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Authors
M. Manonmani
1,
K. T. Geetha
1
Affiliations
1 Dept. of Economics, Avinashilingam University for Women, Coimbatore-641 043, IN
1 Dept. of Economics, Avinashilingam University for Women, Coimbatore-641 043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 44, No 3 (2009), Pagination: 487-508Abstract
Studies indicate a long run decline in efficiency in Indian Industry as reflected by total factor productivity. Any fall in efficiency lowers the marginal productivity of labour and pul ls down employment. Declining productive efficiency could well have kept the growth of employment down in Indian manufacturing. To reverse this process, the production structure should be made flexible and enable easy substi tutabi lity between labour and capital, argues the paper.References
- Ahluwalia, I.J. (1991), Productivity and Growth in Indian Manufactur ing, Oxford University Press, New Delhi.
- Banker, R.D. Charnes, A. & Cooper, W.W. (1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30 :1078-2092.
- Charnes A. Cooper, W.W. & Rhodes, E. (1978), “Measuring the Efficiency of Decision Making Units”, European Journal of Operation Research, 2:429-44.
- Farrell, M.J. (1957), “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society, Series A,120:253-81.
- Goldar, B.N. (1986), Productivity Growth in Indian Industry, Allied Publishers Pvt. Ltd., New Delhi.
- Kendrick, J.W. (1973), Post War Productivity Trends in U.S. 1948-69, Princeton University Press, National Bureau of Economic Research, New York .
- Lakhwinder Singh & Sighal, K.C. (1985), “Capital-Labour Substitution in Punjab Industry”, Indian Journal of Industrial Relations, 21, October.
- Rashmi Banga (2004), “Impact of Japanese and US FDI on Productivity Growth”, Economic & Political Weekly, XXXIX (5): 453-60.
- Srivastava,V. (2001), The Impact of India’s Economic Reforms on Industrial Productivity, Efficiency and Competitiveness. A Panel Study of Indian Companies, 1980- 97, NCAER, New Delhi.
- Saon Ray (2004), “MNEs, Strategic Alliances and Efficiency of Firms”, Economic and Political Weekly, XXXIX (5): 434-40.
- Tybout, J. (2000), “Manufacturing Firms in Developing Countries, How Well Do They Do and Why?”, Journal of Economic Literature, March, :11-44.
- Annual Survey of Industries (ASI), Various Issues, Central Statistical Organisation (CSO), Government of India, New Delhi. Economic Survey, Various Issues, Government of India, New Delhi.
- Tamil Nadu - An Economic Appraisal, Evaluation and Appl ied Research Depar tment, Government of Tamil Nadu. Website w.w.w.tn.gov.in.2008.
- A Stochastic Frontier Production Function Approach to Indian Textile Industry
Abstract Views :410 |
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Authors
Affiliations
1 Economics, Avinashilingam Institute for Homescience &Higher Education for Women University, Coimbatore 641043., IN
1 Economics, Avinashilingam Institute for Homescience &Higher Education for Women University, Coimbatore 641043., IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 48, No 4 (2013), Pagination: 703-710Abstract
This study examined the efficiency of Indian textile industry during 1991/92 - 2009 /10. The maximum likelihood estimates for productive efficiency showed that in the single output case, parameters of capital input were positive and statistically significant. Hence capital was the main input factor for these industries as its value was higher than labor. The coefficients were statistically significant though their signs differed. The estimated levels of output considerably differed from their potential levels due to factors which are within the control of the industries. The summation of the elasticities of factors of production of 1.8419 indicated increasing returns- to -scale. The industry recorded an average technical efficiency of 0.941.The average technical inefficiency was negligible.- Total Factor Productivity of Indian Corporate Manufacturing Sector
Abstract Views :300 |
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Authors
Affiliations
1 Avinashilingam Inst. for Home Sc.&Higher Edu. for Women, Coimbatore, Tamil Nadu, IS
1 Avinashilingam Inst. for Home Sc.&Higher Edu. for Women, Coimbatore, Tamil Nadu, IS
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 49, No 3 (2014), Pagination: 513-525Abstract
This study attempts to examine the non-parametric index number approach of measuring total factor productivity during 1999/00- 2010/ 11 for the Indian corporate manufacturing sector. The approach includes Kendrick index, Solow index and Trans-log index. It was found that in the private limited companies all the indices of total factor productivity except, Kendrick method had shown increasing trend. In public corporations except Trans-log all the other total factor productivity indices had shown negative trend rates. In government departmental enterprises the total factor productivity indices of all the methods showed a declining trend. The total factor productivity indices of aggregate corporate sector revealed that excepting Kendrick index, all the other total factor productivity indices had increased.Keywords
No Keywords- Impact of Economic Reforms on Productivity Performance of Manufacturing Sector in South India
Abstract Views :154 |
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Authors
Affiliations
1 Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore-641043, IN
1 Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore-641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 50, No 2 (2014), Pagination: 232-242Abstract
The four southern states - Andhra Pradesh, Karnataka, Kerala and Tamil Nadu - contribute over 24.3 percent of the GDP of the country. They are emerging as the major destination for industrialization. This paper analyses the growth and determinants of partial and total factor productivity in the aggregate manufacturing sector of the southern states during 1991/92 - 2011/12. The annual trend rates revealed that labor productivity growth rate was maximum in the state of Tamilnadu (9.15percent). The indices of capital productivity had shown increasing trend in case of Andhra Pradesh, Kerala and Tamil Nadu except Karnataka. The total factor productivity was found to be increasing from the beginning of the post-liberalization period in all the southern states.- Economic Contribution of Government Department Enterprises in India
Abstract Views :218 |
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Authors
Affiliations
1 Avinashilingam Institute For Home Science & Higher Education For Women, Coimbatore, IN
1 Avinashilingam Institute For Home Science & Higher Education For Women, Coimbatore, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 51, No 3 (2016), Pagination: 386-390Abstract
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 (ASI) 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 of 2.1862 units. The average capital intensity ratio was found to be 3.919. Organizational efficiency in the sector was found high.- Pattern of Trade & Trade Advantage in Transport Equipment Industry in India
Abstract Views :251 |
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Authors
Affiliations
1 Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, IN
1 Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 53, No 3 (2018), Pagination: 378-389Abstract
This paper analyses the pattern of trade and trade advantage in transport equipment during 2000-2014. Tools such as Static Index, Marginal Intra-Industry Trade (MIIT) Index or Dynamic Index, Horizontal and Vertical Intra-industry Index, Revealed Comparative Advantage (RCA) Index, Theoretical Range of the RCA value, Revealed Symmetric Comparative Advantage (RSCA) Index or Product Mapping, Revealed Competitive Advantage Index, Relative Trade Advantage (RTA) Index etc were used. It was found that intra-industry trade was taking place at high level. Higher quality trade was taking place during 2001 and 2009-14 Low quality products were exported in some years. Transport equipment industry had comparative disadvantage throughout the reference period.References
- Ali Asghar (2016), “Foreign Direct Investment and Trade Openness: The Case of South Asian Economies”, Hafiz International Journal of Innovation and Applied Studies, 17(2):513-21.
- Balassa (1977) , “Revealed Comparative Advantage Revisited: An Analysis of Relative
- Export Shares of Industrial Countries, 1953-1971”, The Manchester School of Economic & Social Studies, 45(4): 327-44.
- Brander, J. & Krugman, P. (1983), “A Reciprocal Dumping Model of International Trade”, Journal of International Economics,15 (3-4): 313-21.
- Brulhart, M. (1994), “Marginal Intra-Industry Trade: Measurement and Relevance for the Pattern of Industrial Adjustment”, Weltwirtschaftliches Archive, 30 (3):600-13.
- Cernosa, S.(2005), “Horizontal and Vertical Intra-industry Trade in Slovenia in the period from 1994 to 2003”, IB Magazine, 39 :(1-2):26-33.
- Colton, Christensen (2012), “The Effect of GDP and Exchange Rates on the Trade Balance between the United States and Mexico”, Proceedings of the National Conferences on Undergraduate Research (NCUR), Weber State University, Ogden UT March 29 - March 31, 2012:671-771 www.ncurproceedings.org/ojs/index.php/NCUR2012
- Dalum, B., Laursen, K. & Villumsen, G. (1998), “Structural Change in OECD Export Specialisation Patterns: De-Specialisation and Stickiness”, International Review of Applied Economics, 12: 447-67.
- Grubel, H.G. & Lloyd, P.J. (1975), Intra-industry Trade: The Theory and Measurement of International Trade in Differentiated Products, Wiley, New York.
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- Hinloopen, Jeroen & Charles Van Marrewijk (2005), Dynamics of Chinese Comparative Advantage, Tinbergen Institute Discussion Paper No. 04-034/2.
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- Lancaster, K. (1980), “Intra-industry Trade under Perfect Monopolistic Competition”, Journal of International Economics, 10 (2):151-75.
- Nielsen, J. U.M. & Lüthje T. (2002), “Tests of the Empirical Classification of Horizontal and Vertical Intra-industry Trade”, Weltwirtschaftliches Archiv,138 (4): 587-604.
- Vollrath, T.L. (1991), “A Theoretical Evaluation of Alternative Trade Intensity Measures of Revealed Comparative Advantage”, Weltwirtschaftliches Archive.130: 265-79.
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- Causal Relationship Between Trade & Economic Growth in India During Post WTO Period
Abstract Views :296 |
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Authors
Affiliations
1 Department of Economics, Avinashilingam Institute for Home Science, Coimbatore - 641043, IN
1 Department of Economics, Avinashilingam Institute for Home Science, Coimbatore - 641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 54, No 1 (2018), Pagination: 54-65Abstract
This paper investigates in to the impact of WTO on the causal relationship among exports, imports and economic growth between1995 and 2016. The study used Granger Causality test to know the short run relationship between the variables and Johansen Co-integration approach for long run relationship. Augmented Dickey Fuller (ADF) test was applied to check stationarity of the variables used in the study. The variables were stationary at first and second level difference level. There was sufficient evidence that there existed long run relationship between export and economic growth and also between import and economic growth. The results provide evidence that economic growth in India was propelled by a growth led import strategy as well as export led growth.References
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- Determinants of Trade, Trade Advantage & Trade Competitiveness in Indian Pharmaceuticals
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Authors
Affiliations
1 Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, IN
1 Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 54, No 4 (2019), Pagination: 601-613Abstract
This paper analyzes the determinants of trade, trade advantage and trade competitiveness in pharmaceutical industry in India during 2000-2014. Tools such as bivariate correlation coefficient, step-wise regression and multiple regression models were used. The variables such as GDP, Foreign Direct Investment (FDI), Money Supply (M2), Indirect Taxes (IT), Exchange Rate (ER), Population Growth (PG), Real GDP, Per capita GDP and Inflation were used. It was found that the relationship between export, import and total trade with related variables were significant. GDP was the major factor determining the export performance of pharmaceutical industry in India. There was direct relationship between trade openness and money supply and Government Expenditure (GE) was the major factor responsible for the growth of trade balanceReferences
- Gulshan Akhtar (2013), “Indian Pharmaceutical Industry: An Overview”, IOSR Journal of Humanities and Social Science (IOSR-JHSS) 13(3): 51-66.
- https://wits.worldbank.org/wits/wits/witshelp/Content/Utilities/e1.trade_indicators.htm
- NIIR Board, Drugs & Pharmaceutical Technology Handbook, Format: Paperback, ISBN: 8178330547 Code: NI130, Pages: 636, Publisher: Asia Pacific Business Press Inc.