Wage-differentials and Their Determinants Across Industries in the Organized Manufacturing Sector of India

2020 ◽  
pp. 097215092091256
Author(s):  
Chandrima Ganguly ◽  
Joydeb Sasmal
Keyword(s):  
Wage Differentials ◽  
Manufacturing Sector ◽  
Wage Bargaining ◽  
Wage Determination ◽  
Farm Size ◽  
Total Employment ◽  
Annual Survey ◽  
Productivity Differentials ◽  
Specific Factors ◽  
Using Data

This article calculates the magnitude of wage differentials across industries in the organized manufacturing sector of India and identifies the major determinants of wage differentiation among the industries. Using data from Annual Survey of Industries in India for the period from 2000–2001 to 2015–2016, this study shows that mean wage is less in labour-intensive industries compared to the capital-intensive industries. The results of panel regression of annual average wage on various industry-specific factors show that productivity of labour is the most important factor in wage determination, and productivity largely depends on capital–labour ratio. The other significant factors in this regard are farm size, amount of profit and proportion of casual and female workers in total employment. Important policy implication of this study is that regulatory wage fixation and wage bargaining outcomes are not as significant as productivity differentials in explaining wage gaps across industries.

scholarly journals A Relative Performance of Large and Small Sector in Manufacturing Sector of India

2016 ◽  
Vol 2 (09) ◽  
Author(s):  
Kiran Devi
Keyword(s):  
Data Analysis ◽  
Manufacturing Sector ◽  
Relative Performance ◽  
Comparative Efficiency ◽  
Annual Survey ◽  
Performance Differences ◽  
Large Sector ◽  
Using Data ◽  
Better Than

In this paper the author evaluates relative performance differences between large sector and small sector in the manufacturing sector of India according to type of organizations. Comparative efficiency parameters are estimated for the period 1998-99 to 2012-13 using data generated by Annual Survey of Industries (ASI) which is related to the type of organizations in manufacturing sector of India. The results establish that, the small sector performed better than the large sector. The result of data analysis shows that the small sector is more efficient than the large sector.

scholarly journals Evaluating 3D Printers Using Data Envelopment Analysis

2021 ◽  
Vol 11 (9) ◽  
pp. 4209
Author(s):  
Theodore Papatheodorou ◽  
John Giannatsis ◽  
Vassilis Dedoussis
Keyword(s):  
Data Envelopment Analysis ◽  
Fused Deposition Modeling ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Data Envelopment ◽  
Programming Technique ◽  
Fused Deposition ◽  
Efficiency Performance ◽  
3D Printers ◽  
Using Data

Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for evaluating the performance of a highly technological system, such as the 3D printer.

scholarly journals Modeling General, Specific, and Method Variance in Personality Measures: Results for ZKA-PQ and NEO-PI-R

Assessment ◽  
2016 ◽  
Vol 25 (8) ◽  
pp. 959-977 ◽  
Author(s):  
Francisco J. Abad ◽  
Miguel A. Sorrel ◽  
Luis Francisco Garcia ◽  
Anton Aluja
Keyword(s):  
Personality Inventory ◽  
Response Styles ◽  
General Factor ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Personality Inventories ◽  
Method Factor ◽  
Neo Personality Inventory Revised ◽  
Specific Factors ◽  
Using Data

Contemporary models of personality assume a hierarchical structure in which broader traits contain narrower traits. Individual differences in response styles also constitute a source of score variance. In this study, the bifactor model is applied to separate these sources of variance for personality subscores. The procedure is illustrated using data for two personality inventories—NEO Personality Inventory–Revised and Zuckerman–Kuhlman–Aluja Personality Questionnaire. The inclusion of the acquiescence method factor generally improved the fit to acceptable levels for the Zuckerman–Kuhlman–Aluja Personality Questionnaire, but not for the NEO Personality Inventory–Revised. This effect was higher in subscales where the number of direct and reverse items is not balanced. Loadings on the specific factors were usually smaller than the loadings on the general factor. In some cases, part of the variance was due to domains being different from the main one. This information is of particular interest to researchers as they can identify which subscale scores have more potential to increase predictive validity.

What does the new 2011-12 IIP series tell about the Indian manufacturing sector?

2018 ◽  
Vol 11 (2) ◽  
pp. 90-106
Author(s):  
Radhika Pandey ◽  
Amey Sapre ◽  
Pramod Sinha
Keyword(s):  
Design Methodology ◽  
Manufacturing Sector ◽  
High Growth ◽  
Industrial Output ◽  
Content Type ◽  
Annual Survey ◽  
Two Measures ◽  
Indian Manufacturing Sector ◽  
Practical Implications

Purpose This paper aims to discuss the changes in the new 2011-12 base year series of the Index of Industrial Production (IIP) to determine whether the new series has improved the understanding of the growth in the manufacturing sector. Design/methodology/approach This paper develops a simple framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index. The authors present a case study by analysing the growth performance of IIP drugs and pharmaceuticals sector by comparing it with real net sales of a common sample of firms in this segment. Findings The authors find that growth in value-based commodities contributes significantly in moving the index in either direction, and that high growth in value-based commodities coincides with periods of low inflation. On comparability, using real net sales as an alternate indicator of industrial output for the pharmaceuticals sector, the authors find that IIP and real net sales show contrasting trends, thereby raising issues of reliability. The authors also find that the IIP shows a disconnect with growth rates from Annual Survey of Industries for several industries. Practical implications The divergence between two measures of industrial activity raises crucial questions on the representativeness of the IIP. Originality/value The study builds a framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index.

scholarly journals Riskier Tests of the Validity of Bifactor Models of Psychopathology

2019 ◽  
Author(s):  
Ashley L. Watts ◽  
Holly Poore ◽  
Irwin Waldman
Keyword(s):  
Community Sample ◽  
General Factor ◽  
Symptom Dimensions ◽  
Bifactor Models ◽  
Specific Factors ◽  
Psychopathology Symptom ◽  
Using Data ◽  
P Factor ◽  
Correlated Factors ◽  
Additional Variance

We advanced several “riskier tests” of the validity of bifactor models of psychopathology, which included that the general and specific factors should be reliable and well-represented by their indicators, and that including a general factor should improve the correlated factor model’s external validity. We compared bifactor and correlated factors models using data from a community sample of youth (N=2498) whose parents provided ratings on psychopathology and external criteria (i.e., temperament, aggression, antisociality). Bifactor models tended to yield either general or specific factors that were unstable and difficult to interpret. The general factor appeared to reflect a differentially-weighted amalgam of psychopathology rather than a liability for psychopathology broadly construed. With rare exceptions, bifactor models did not explain additional variance in psychopathology symptom dimensions or external criteria compared with correlated factors models. Together, our findings call into question the validity of bifactor models of psychopathology, and the p-factor more broadly.

Do Foreign Remittances Matter in Attaining Zero Hunger?

2020 ◽  
pp. 197-215
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Rebecca Funmi Akinmulewo
Keyword(s):  
Food Insecurity ◽  
Rural Households ◽  
Household Head ◽  
Farm Size ◽  
Living Standard ◽  
The North ◽  
Using Data ◽  
Zero Hunger ◽  
Female Headed Households ◽  
Food Insecurity Access

Foreign remittance has remained a major source of income and a means to reduce hunger for many poor people in developing countries. The contribution of foreign remittances to food insecurity status of rural households in Nigeria was assessed using data from 2015/2016 Living Standard Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA). Food insecurity status was achieved using the household food insecurity access scale. Data were analysed using descriptive, ordered, and nested logit models. Female-headed households residing in south-east zone with 51 to 70 years old heads and more than six members had greater access to remittances but were severely food insecure. Drivers of food insecurity were age, gender, marital status, education of the household head, membership of cooperatives, access to extension, farm size and per capita income, and living in the north central geo-political zone. Foreign remittances had a positive effect on the food insecurity status of rural households.

scholarly journals Does wage reflect labor productivity? A comparison between Brazil and the United States

2018 ◽  
Vol 38 (4) ◽  
pp. 629-649 ◽  
Author(s):  
ALEXANDRE GORI MAIA ◽  
ARTHUR SAKAMOTO
Keyword(s):  
United States ◽  
Economic Development ◽  
Labor Productivity ◽  
Wage Differentials ◽  
The United States ◽  
Occupational Groups ◽  
Economic Cycles ◽  
Productivity Differentials ◽  
The Relationship ◽  
The U.S

ABSTRACT The study compares the relationship between wages and labor productivity for different categories of workers in Brazil and in the U.S. Analyses highlight to what extent the equilibrium between wages and productivity is related to the degree of economic development. Wages in the U.S. has shown to be more attached to labor productivity, while Brazil has experienced several economic cycles were average earnings grew initially much faster than labor productivity, suddenly falling down in the subsequent years. Analyses also stress how wage differentials, in fact, match productivity differentials for certain occupational groups, while for others they do not.

Energy Intensity, Productivity and Pollution Loads: Empirical Evidence from Manufacturing Sector of India

2020 ◽  
Vol 8 (2) ◽  
pp. 194-211
Author(s):  
Prantik Bagchi ◽  
Santosh Kumar Sahu
Keyword(s):  
Energy Intensity ◽  
Manufacturing Sector ◽  
Vital Role ◽  
Sustainable Growth ◽  
Indian States ◽  
Secondary Sources ◽  
Using Data ◽  
The Relationship ◽  
Efficiency And Productivity ◽  
Pollution Loads

We explain the relationship between energy intensity and productivity for the organized manufacturing sector of India. Using data from the secondary sources, we explain the relationships at aggregate, state and industry levels. The novelty of this paper lies in bringing in pollution loads in explaining inter-industry variations in energy intensity. Results of this study indicate that the organized manufacturing sector of India has gained energy efficiency and productivity. We found heterogeneity among Indian states in productivity growth and energy intensity. The results indicate that small states performed well whereas large states fall in the productivity paradox. The productivity dilemma hypothesis is validated at industry level analysis however, results are inconsistent to validate the decoupling growth hypothesis. Pollution loads as classified by Government of India, plays a vital role in explaining energy intensity variations across industries, which calls for better policies aiming at pollutive industries specifically to achieve sustainable growth for the manufacturing sector of the Indian economy.

scholarly journals Internet Access and Internet Purchasing Patterns of Farm Households

2009 ◽  
Vol 38 (2) ◽  
pp. 240-257 ◽  
Author(s):  
Ashok K. Mishra ◽  
Robert P. Williams ◽  
Joshua D. Detre
Keyword(s):  
Durable Goods ◽  
Internet Access ◽  
Farm Households ◽  
Management Tool ◽  
Farm Size ◽  
The Internet ◽  
Farm Work ◽  
Regional Location ◽  
Using Data ◽  
Purchasing Patterns

The Internet is becoming an increasingly important management tool in production agriculture. Using data from the 2004 Agricultural Resource Management Survey (ARMS) and a double-hurdle estimation approach, we explore the adoption of computers with Internet access by and Internet purchasing patterns of farm households. Adoption of the Internet is positively related to age and education of the operator, off-farm work, presence of spouse, participation in government programs, farm size, and regional location of the farm. Internet purchasing patterns of farm households are positively related to the education of the operator and spouse, presence of teenagers, and regional location of the farm. Finally, farm businesses and their households are more likely to purchase a greater percentage of non-durable goods through the Internet as distances to markets increase.

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