Department of Economics and Finance
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Item Youth Labour Market in India: Opportunities and Choices(IGI Global, 2020) Krishna, M.Sustainable Development Goals (SDGs) 2030 prioritizes active engagement of youth in achieving the targets. Aligning the pathway towards achieving youth specific SDGs (Target 4.4 and 8.5), the study examines the current situation of the youth labour market in India. For this purpose, the study analyzes National Sample Survey data on employment and unemployment from 50th round (1993/94) to 68th round (2011/12). The study engages trend analysis of key indicators of labour market. Logistic regression is applied to address the magnitude of socio-economic and demographic determinants on youth employment. The study finds an overall decline in the employment status of youth despite the ongoing demographic dividend phase. Postgraduate and graduate youth witness the highest unemployment indicating a grim role of labour market in engaging the educated youth. The findings raise concern for achieving the targets of SDGs, as a high share of educated youth strives for decent and gainful employment.Item Job Search Methods in the Labour Market An Empirical Analysis(IRIS Knowledge Foundation, 2014) Krishna, M.How do people go about finding jobs? A widely acknowledged presumption is that that ‘job-search process’ plays a critical role in the determination of labour market outcomes. This essay underlines the critical importance of understanding the process by which people find jobs. It examines the search behaviour of workers in the labour market, with special reference to the workers employed at an industrial area in Bangalore, KarnatakaItem Does Social Network Matter in Knowledge Output?(Sage, 2011-05) Krishna, M.This paper examines two important aspects of knowledge output: the degree of concentration in knowledge output and the nature of social network, taking the Economic and Political Weekly (EPW), a known scholarly periodical in the social sciences, as a case. We analyse the author data, looking at the frequency distribution of authors against the number of papers published and the social network of authors during the period 1996–2005. While the degree of concentration is assessed using a power law, namely Lotka’s law, the co-author data is transformed to a symmetric sociogram. The study covers 1,803 authors who published research articles in the EPW, including contributions by social scientists, policy professionals and scientists. It appears the progress in Indian social science has an apparent link with the history of EPW, accounting for a significant part of intellectual output and scholarly discourses in Indian social science. Taking cues from scholarly lineages, which investigate knowledge as a social phenomenon including the sociology of science, economics of knowledge and social network theory, we examine an important question: What is the degree of concentration prevailing in the EPW, during 1996–2005? Does the social network of authors, captured from the data, provide explanations for the degree of concentration? Our analysis shows that a high degree of the concentration of the authors and a relatively organised social network of authors coexist, indicating that the concentration in knowledge output, perhaps, is inherently linked to the structure.Item oes Change in S & T Explain Dynamics in Human Capital? An enquiry into Emerging Trends in Nursing Labour Market(IASSI, 2010-01) Krishna, M.We examine why it is important to consider seemingly autonomous but more embedded socio-political-economic aspects in assessing the impact of changes in Science and Technology (S&T) on human capital. In capturing the linkage between S&T and human capital, as we show, the dynamics in labour market is enmeshed in the complex web of socio-political-economic systems. Perhaps, this mode of reasoning has varying effects depending on the nature of economic activity. While the effect of entanglement of socio-political-economic aspects on S&T-human capital linkage may have less dynamism for primary economic activities, this effect is quite apparent for secondary and tertiary activities, quite reflected in consequences such as migration of labour. Interestingly, we investigate this dynamics taking nursing labour market as a case, viewing its significance in the emerging health care systems. A significant change in S&T of health care is that it has become more diagnostic than heuristic based system, mainly driven by advancements in the bio-medical technology. This change has altered the scope of health care occupations, covering occupations such as physicians, nurses, and para-medical professionals. Of these, nursing as an occupation reports one of the highest rates of women participation. After 2000, the migration of nursing professionals from some of the least developed/developing countries to developed countries has shown a steady increase. This surge in migration may have its roots in changes in S&T of health care systems. However, this link remains incomplete if we exclude a host of factors, primarily state’s role in health care, changes in health care education, new institutions in human capital formation, wage dynamics, and an increasingly socially embedded labour market. In this paper, we examine these themes –perspectives and substantive issues- , using the literature and secondary and primary data.Item Labour Market in Urban Agglomerations: A Case from an Indian Global City(Sage, 2012-11) Krishna, M.The article explores salient features of the link between labour market and urban agglomeration, using National Sample Survey unit level data and field data. To capture the role of labour market in urban agglomeration, the authors present a case study of Peenya Industrial Estate of Bangalore, India considered to be the largest industrial estate in South Asia. An interesting pattern that emerges is that the odds in favour of participating in the formal work are much higher for persons with technical education in global cities in India. The nature of the labour market for highly skilled occupations is distinct from the labour market for low-skilled occupations, showing different flexibility conditions. While firms tend to use simple ways for lower occupations, strategies like referrals are applied to source persons for higher occupations. Obtaining job information through informal sources like social contact does not turn out to be the significant determinant of odds in favour of on-the-job-search. As shown by the results, on-the-job search is rather driven by basic demographic variables like age, showing a discernibly inverse relation. Moreover, this inference is limited to the group of workers.Item What Explains Wage in India?(Indian Journal of Industrial Relations, 2013) Krishna, M.This paper explores the major determinants of wages in India, drawing cues from National Sample Survey 66th round unit level data. To assess the major factors that impact wages, the authors take into account, in addition to the conventional independent variables that cover household, personal, and labour market characteristics, the general well-being of population, which, in practice, is encapsulated by a composite measure called Human Development Index (HDI). The analysis is limited to those who receive wages on a regular basis and who fall in the age group of 15-59. The empirical results show that wages in India are bound up with not only economic factors, but also identities such as sex and caste.Item Employment in India: Emerging dynamics(World Economics Ltd, 2014-12) Krishna, M.The growth of employment has become a matter of grave concern in India for the past two decades. This paper – based on the unit-level data of the 61st and 66th quinquennial rounds on employment and unemployment released by the National Sample Survey Organisation (NSSO) in 2005 and 2010, respectively – pinpoints some of the emerging issues and dynamics in various segments of the Indian labour market. It finds that, notwithstanding India’s average annual growth of more than 8% and compound annual population growth of 1.4% between 2004/05 and 2009/10, the workforce grew at a snail’s pace, hovering around 0.03% per annum. What is striking is that, considering the workforce by sex, about 21 million female workers, approximately equivalent to the population of Australia, were out of the workforce between 2004/05 and 2009/10. Interestingly, segregating the workforce by rural–urban sector, it would seem that, contrary to a quantum leap of 13 million in the rural male workforce, the rural female workforce recorded a decline of 19 million during the same period, of which scheduled tribe, scheduled caste and other backward class combined to add up to a significant proportion. Interestingly, a precipitous increase in the number of females attending educational institutions and domestic duties accounted for a large-scale decline in the female workforce. The findings presented in this paper point to the need for a concerted effort to mitigate widening gender disparity and shrinkage of the female work participation rate in India.Item What determines the performance of small business units? Insights from a jewellery cluster(Emerald, 2017-08) Krishna, M.This paper aims to investigate the factors that determine the performance of small business units using a field survey conducted in a small jewellery cluster in Mangalore district of Karnataka state (India).Item The Structure of Collaboration Networks: An Illustration of Indian Economics(Sciendo, 2018-03) Krishna, M.The main aim of this study is twofold: first, to examine the underlying structure of co-authorship in Indian economics; and second, to explore the link between the participation in scientific collaborations and academic visibility. We decipher the structure of co-authorship by presenting collaboration networks of scholars who published articles in six Indian economics journals during 1966-2005, which is split into four windows: 1966-75, 1976-85, 1986-95, and 1996-2005. In this study, the following social network measures are applied: the size of the network, the size of the main component, average degree, path length, and clustering coefficient. The study presents the following three features of Indian economics: first, a substantial proportion of Indian authors are isolated, albeit declining very slowly over a period of time; second, it appears that the structure of scholarly collaboration in Indian economics is highly fragmented, and the observed size of main components accounts for a small proportion of the total authors; third, and more importantly, the size and composition of co-authorship networks presented in the paper seldom impact the scientific visibility of authors.Item Is there a trade-off between energy consumption and employment: Evidence from India(Elsevier, 2020-05) Krishna, M.Following India’s efforts to mitigate the emission of greenhouse gases, there has been a transition from fossil fuels to clean energy sources, such as solar and wind, in the energy portfolio. The renewable energy sector is widely acknowledged as a fertile ground for employment creation, as it is labour-intensive. Against this backdrop, the main objective of this paper is to provide an empirical explanation of how the growth of renewable energy sources, particularly solar photovoltaic (PV) technology, affects employment creation in India. The findings reveal that, despite a substantial investment in India’s solar PV technology, the number of jobs created by the sector declined marginally from 164000 in 2017–114000 in 2018. India’s estimated employment elasticity is just 0.004, implying that the level of employment does not show a significant positive response to changes in installed capacity. Almost 60 per cent of the global solar PV workforce is in China, which has become the leading country both in terms of installed capacity of global solar PV technology and manufacturing of solar PV cells and modules. The wide disparity in solar PV employment between India and China is explained by the former’s excessive dependence on China for solar PV cells. Alongside climate conservation, India should, therefore, place more emphasis on revitalising the domestic solar manufacturing industry to bring about efficient use of the nation’s untapped resources.