scholarly journals Movement of Real Wage Rate and Labour Productivity in Manufacturing Sector in India: The Role of Contract Labour

2018 ◽  
Vol 63 (2) ◽  
Author(s):  
Soumita Chakraborty
2018 ◽  
Vol 43 (1-2) ◽  
pp. 78-87 ◽  
Author(s):  
Vanita Ahlawat ◽  
Renu

India is one of the largest textile producers in the world. Textile industry is huge employment-providing industry after agriculture in India. The present article is an attempt to analyse first, the growth and composition of employees engaged in textile industry in India. Second, to find the growth and relation between employments, man-days employed, wages and net value added (NVA) by textile industry in India. And lastly, the impact of labour productivity in wage determination is also analysed. The results suggested that there is huge gender disparity in employment, that is, women are very few in comparison to men workers. Overall employment in textile has an increasing trend among both categories of textile industry. Further, spinning, weaving and finishing of textile manufacturing is growing faster than manufacturing of other textiles. Employment in textile industry has a positive and significant correlation with real wage rates in both categories of industries. This indicates that increase in real wage rate causes enhancement in employment in textile manufacturing. And further results suggest that labour productivity is a significant determinant of wage rate of textile employees.


Author(s):  
C. Sardoni

The paper looks at income distribution in a short-period context which is similar to that of Keynes’s General Theory. The approach to distribution is different from the one Kaldor adopted in the 1950s: no assumption of full employment is made. The conclusions concerning income distribution which can be inferred from the General Theory depend on Keynes’s assumptions concerning the behavior of prices and the real wage rate with respect to changes in output. In the paper these assumptions are criticized and the implications in terms of distribution are examined. In 1938-1939, Keynes’s conjectures about the relation between output level and the real wage rate were criticized by Dunlop, Tarshis, and, by implication, Kalecki. In his rejoinder, Keynes accepted some of these criticisms and suggested a new approach to income distribution that differs from Kaldor’s and is close to the one adopted by Kalecki and developed by Joan Robinson.


2001 ◽  
Vol 23 (3) ◽  
pp. 301-317 ◽  
Author(s):  
Paul A. Samuelson

The Nobel Prize of Piero Sraffa and Joan Robinson that Stockholm never awarded might have pleased at least one of them. Its citation would have included: “Their investigations uncovered a fatal normative flaw in Böhm-Bawerkian and modern mainstream capital theory.”Just prior to Alfred Marshall's 1890 ascendancy as leading world economist, Eugen von Böhm-Bawerk (1851–1914) perhaps wore that crown thanks to his three-volume treatise on the history and fundamentals of interest theories. Böhm (1884, 1889, 1909, 1912) somewhat independently followed in the footsteps of Stanley Jevons (1871) and himself strongly stimulated Knut Wicksell (1893), Irving Fisher (1906, 1907, 1930), and Friedrich Hayek (1931, 1941). Pugnacious and somewhat incoherent, Böhm and his disciples battled cogently the competing school of John Bates Clark (1899) and Frank Knight (1934, 1935a, 1935b), which idealized a permanent scalar capital alleged to be virtually permanent and with a marginal productivity determining its interest rate in much the same way that primary labor's marginal productivity determines its real wage rate and primary land's marginal productivity determines its real rent rate(s). The Clark-Knight paradigm—and, for that matter, Frank Ramsey's 1928 mathematical clone—shares the Böhm-Hayek vital normative flaw.


Author(s):  
Amaechi Nkemakolem Nwaokoro

This study examines the relationship between the real wage rate and productivity in the U.S. steel industry in the critical period of 1963-1988. This period witnessed a declining steel output and employment, increasing productivity, and a slight increasing real wage rate. The severity of the decline was felt in the 1980s. The popular explanation focuses on the nominal wage rate relative to productivity (non-nominal value). The study is based on high-frequency monthly data set on output, employment, productivity, wage rate, factor prices, and national unemployment rate. Also control factors are constructed for the steel import protection and non-protection regimes. Some econometric modeling issues are addressed. Recognizing that productivity is stochastic and is potentially an endogenous variable, it is instrumented with a set of productivity-related variables including controls for various steel protection and non-protection regimes. Third, the wage in the industry is modeled as a function of exogenous productivity, price of steel products, national unemployment rate, and real interest rate. Serial correlation characterizes the data, and this is corrected with inter-temporal effect of the real wage rate, and with a differencing model. The main results of the study are threefold.First, OLS and Instrumental Variable (IV) estimates show that productivity is the key variable for explaining the real wage rate. Second, like in the literature, the study finds that heavy and autonomous capitalization has an impact on the rising productivity. Third, the study identifies an inter-temporal high real wage rate as the driving factor for explaining the short run real wage rate.These results are somewhat sensitive across specifications.


2012 ◽  
Vol 102 (2) ◽  
pp. 617-642 ◽  
Author(s):  
Orley Ashenfelter

A real wage rate is a nominal wage rate divided by the price of a good and is a transparent measure of how much of the good an hour of work buys. It provides an important indicator of the living standards of workers, and also of the productivity of workers. In this paper I set out the conceptual basis for such measures, provide some historical examples, and then provide my own preliminary analysis of a decade long project designed to measure the wages of workers doing the same job in over 60 countries—workers at McDonald's restaurants. The results demonstrate that the wage rates of workers using the same skills and doing the same jobs differ by as much as 10 to 1, and that these gaps declined over the period 2000–2007, but with much less progress since the Great Recession. (JEL C81, C82, D24, J31, N30, O57)


Author(s):  
Amaechi Nkemakolem Nwaokoro

This study examines the relationship between the real wage rate and productivity in the U.S. steel industry in the critical period of 1963-1988. This period witnessed a declining steel output and employment, increasing productivity, and a slight increasing real wage rate. The severity of the decline was felt in the 1980s. The popular explanation focuses on the nominal wage rate relative to productivity (non-nominal value). The study is based on high-frequency monthly data set on output, employment, productivity, wage rate, factor prices, and national unemployment rate. Also control factors are constructed for the steel import protection and non-protection regimes. Some econometric modeling issues are addressed. Recognizing that productivity is stochastic and is potentially an endogenous variable, it is instrumented with a set of productivity-related variables including controls for various steel protection and non-protection regimes. Third, the wage in the industry is modeled as a function of exogenous productivity, price of steel products, national unemployment rate, and real interest rate. Serial correlation characterizes the data, and this is corrected with inter-temporal effect of the real wage rate, and with a differencing model. The main results of the study are threefold.First, OLS and Instrumental Variable (IV) estimates show that productivity is the key variable for explaining the real wage rate. Second, like in the literature, the study finds that heavy and autonomous capitalization has an impact on the rising productivity. Third, the study identifies an inter-temporal high real wage rate as the driving factor for explaining the short run real wage rate.These results are somewhat sensitive across specifications.


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