Search results

This paper aims to examine the relationship between the industrial and the service sector outputs at the aggregate level and for different sub-services in India and also tries to find out whether the relationship is changing over time.

This paper studies a panel of 16 major Indian states in India over the period 1980-2011. Using an econometric analysis, it proceeds to estimate the increase in inter-linkage between the output of the service sector and the output of the industrial sector. This study considers a variable coefficient model where the output elasticity of the service sector with respect to the output of the industrial sector changes with time. The changing element here is considered to be the result of the changing structure of production within these industries.

It has been observed that the output of the services sector at the aggregate level and the output of the industrial sector are highly correlated, and demand generated for services output from the industrial sector over the period 1993-2011 is mostly due to the changing structure of production within these sectors.

This paper takes the initiative to estimate the increase in inter-linkage between the output of the service sector and the output of the industrial sector resulting from the changing structure of production within the industrial and the service sectors.

This paper aims to focus on the contribution of segregated renewable energy (RE) sources such as solar, wind, bagasse, biomass, small hydropower (SHP) and waste to heat in driving sustainable industrial production in India.

This study uses non-linear modelling techniques such as quantile regression and the non-linear Granger causality test to explore the interplay between segregated RE generation and industrial production in India.

The study findings support the role of segregated RE sources generation, especially SHP and bagasse, on industrial production in India. This paper finds unidirectional non-linear Granger causality running from segregated RE sources to industrial production. Bidirectional non-linear Granger causality has been established from biomass, waste-heat to index of industrial production and vice versa, supporting an asymmetric feedback hypothesis.

The study findings will aid the energy policymaker in framing policies for RE sources, especially bagasse-based and SHP generation for the sustainable industrial growth of India.

To the best of the authors’ knowledge, this is one of the first studies to explore the role of segregated RE sources generation to drive sustainable industrial growth in India using non-linear techniques.

The relationship between military expenditure and economic growth is complex. The purpose of this paper is to examine this relationship in India.

The design of this study is descriptive in the theoretical part, and quantitative in the applied one. The study uses time series approach, and Hendry General-to-Specific (GTS) modeling methodology, to examine and analyze the relationship between military expenditure and economic growth in India, during the period 1980-2016.

The study shows the following: Absence of causal relationship between military expenditure and economic growth in India, during indicated period. The continuous regional tensions facing India represent the main factor for adopting Indian military strategy and emphasizing military capabilities. India has been able to build and develop links between civilian and military sectors. The Indian military scientific and manufacturing policies have achieved self-sufficiency in some of its military needs, a strong military industrial base and high levels of military exports. India participated with developed countries in military strategic industries. Such participation contributed to the integration of civilian and military sectors. India gave rights to private sector and foreign direct investment (FDI) for manufacturing in military industries, giving full marketing rights to the Indian government. These new policies considered a great move toward deep changes for Indian military manufacturing policy.

The findings shed light on the importance of stimulating links between civilian and military sectors, particularly in the industrial sectors and scientific activities.

This study has a contribution to literature of military expenditures' economic effects. Theoretically, this study tries to fill the research gap regarding the impact of military expenditure in Indian case. Furthermore, to the best of the authors' knowledge, this is the first study that examines the relationship between military expenditure and economic growth in India using Hendry general-to-specific (GTS) modeling methodology and time series approach.

This article analyses the structural change in microenterprises located at India's unorganised manufacturing sector in terms of output mix, choice of technique and productivity during the last few decades.

Based on data collected from a quinquennial survey of unorganised firms, this study attempts productivity analysis by using the growth accounting technique.

The paper finds that there is a significant structural change which has occurred in the small firm sector in Indian manufacturing. The share of capital-intensive industries has increased substantially in recent years. Further, though small firms are more labour intensive, the labour productivity and total productivity of these firms are very low. The falling labour productivity and rising capital intensity indicates replacement of labour with capital in Indian small firm sector.

Low productivity of the sector is a cause for concern and this needs to be addressed by making the sector more competitive in the world market. To achieve this, policies should be designed so that small firms reach the efficient scale of production.

This is the first paper which examines structural changes in the Indian MSME sector. The findings have strong implications for creation of a viable ecosystem of entrepreneurship in the country.

The current situation in India concerning the implementation of the Stockholm Convention on persistent organic pollutants (POPs), aimed at regulating their production and use has been examined. The purpose of this paper is to present data on the quantities of POPs generated and accumulated in the country. Measures for environmental sound management of POPs and effective implementation of the Stockholm Convention have been recommended.

A national implementation plan (NIP), presenting the status and inventory of POPs in India was developed. Ground-level situation of 12 POPs were assessed through inventorization, samples collection, analysis and interpretations.

As per the inventory of POPs; to date, the total amount of polychlorinated biphenyls is assessed as up to 28,000 MT in the power sector and total quantity of date-expired obsolete pesticides stock was around 47,000 kg. The total emission of dioxins was estimated to be ∼8.7 kg toxic equivalent, with the main contributions coming from waste incineration followed by ferrous and non-ferrous metal production. There are gaps in the implementation, in terms of existing legal and regulatory framework and Stockholm Convention requirements.

The analysis, results and recommendations presented would be useful for other developing countries in a comparable position to India confronting similar challenges of POPs management.

During the development of the NIP, primary data on POPs were collected and assessed. This perhaps is the first research paper from India on the status and environmental management framework of POPs listed under various Annexes of the Stockholm Convention.

The information technology (IT) sector has gained prominence since 1990. However, studies on the human resource management (HRM) policies and practices of multinational corporations (MNCs) have been few and far between. In this paper we study the Indian IT sector using both qualitative and quantitative approaches. For the quantitative research design, we used structured measurement tools developed by the Global HRM Project. Data were collected from 36 IT MNCs of Indian and foreign origin (U.S. and European) located in Bangalore and Hyderabad in India. We tested four hypotheses that were verified using the Mann–Whitney test of mean rank. We assessed the flow of HRM practices and the differences in HR practices between Indian and foreign MNCs. For the qualitative design we used an unstructured approach to gather secondary data sources and used anecdotal data gathered over a decade through our interactions with the Indian IT industry. We used the narrative style to show past and current Indian business culture, level of technology, and implications for foreign direct investment in the Indian IT sector. We state two qualitative hypotheses for this part of the research study. We find the current business culture and level of technology of Indian IT MNCs moderately similar to those of foreign MNCs, and more so U.S. MNCs. We find no differences between Indian and foreign MNCs in HRM practices. We assume that the unexpected similarity in international human resource management (IHRM) practices is probably due to: (1) the nature of information technology, (2) closing levels of R&D between Indian and foreign MNCs, and (3) similar business cultures of Indian and foreign MNCs. IT-intensive global organizations are likely get a step closer to global IHRM standardization.

In this paper, the authors aim to investigate the return, volatility and correlation spillover effects between the crude oil market and the various Indian industrial sectors (automobile, financial, service, energy, metal and mining, and commodities sectors) in order to investigate optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors compare bivariate generalized autoregressive conditional heteroskedasticity models (diagonal, constant conditional correlation and dynamic conditional correlation) with the vector autoregressive model as a conditional mean equation and the vector autoregressive moving average generalized autoregressive conditional heteroskedasticity model as a conditional variance equation with the error terms following the Student's t distribution so as to identify the model that would be appropriate for optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors’ results indicate that the dynamic conditional correlation bivariate generalized autoregressive conditional heteroskedasticity model is better able to capture time‐dynamics in comparison to other models, based on which the authors find evidence of return and volatility spillover effects from the crude oil market to the Indian industrial sectors. In addition, the authors find that the conditional correlations between the crude oil market and the Indian industrial sectors change dynamically over time and that they reach their highest values during the period of the global financial crisis (2008‐2009). The authors also estimate risk minimizing hedge ratios and oil‐stock optimal portfolio holdings.

This paper has empirical originality in investigating the return, volatility and correlation spillover effects from the crude oil market to the various Indian industrial sectors using BVGARCH models with the error terms assumed to follow the Student's t distribution.

A brief review of earlier studies on the productivity scenario of Indian industry shows that most of the studies analysed are confined to either parametric approach or growth accounting approach of measuring productivity. At the same time, the few studies based on the non-parametric [namely, Malmquist productivity index (MPI)] overlook the returns to scale conditions as well as the bias involved in the estimation of distance functions. Given this backdrop, this study aims to provide a robust measure of productivity, which considers the returns to scale assumptions and correct for the bias involved in the estimation of productivity.

This study empirically tests for the returns to scale that exists in the chemical and chemical products industry in India. The test result suggests that Ray and Desli (1997) approach of MPI is the appropriate one for the present context. Initially, the conventional Ray and Desli (1997) estimation and decomposition of MPI for the period 2001 to 2017 is being used. Subsequently, to correct for the bias in the estimation of efficiency scores used for the estimation of MPI, the bootstrapping algorithm of Simar and Wilson (2007) has been extended into the context of MPI estimation.

The results from the conventional Malmquist productivity estimates testifies to an improvement of total factor productivity (TFP) in seven out of 16 years under consideration. On the contrary, TFP growth is recorded only in the four years throughout the period after the bias correction. A greater discrepancy between the two measures has been found in the case of scale change factor component of MPI.

The technical change (TC) component positively influences TFP, whereas scale change factor (SCF) deteriorates the TFP condition of this industry. It will be appropriate for these firms to identify and operate under an optimal scale of operation, along with reaping the benefits of technological change. From a methodological perspective, researchers should consider the potential bias that arise in estimation of TFP and use a larger sample whenever possible.

This paper brings in a new perspective to the existing literature on industrial productivity. As against earlier studies, this study empirically tests the returns to scale of the sector under consideration and uses the most appropriate approach to measure productivity. The effect of sampling bias on TFP and its components is analysed.

The purpose of this research is to measure Organizational Learning Capability (OLC) perception in the managers of public, private and multinational organizations and establish the link between OLC and firm performance. Design/methodology/approach – The data were collected from a sample of 612 managers randomly drawn from Indian industry, using a questionnaire survey. Findings – Organizational capability perception for the managers of the IT sector and of multinational firms was the highest, while it was lowest for the engineering sector. Mixed results were found for the market indicators of firm performance, i.e. firm's financial turnover and firm's profit as predictors of OLC in Indian organizations, where financial turnover was predicting organizational learning capability. Research limitations/implications – The research paper does not test the possibility of firm performance affecting OLC, which may be true, and the author acknowledges it as a limitation of the research study. Future studies may investigate this further. Originality/value – The managers felt that the processes for encouragement of experimentation and environmental scanning needed more attention in Indian industry. The variable of sensitivity to people and their potential provides implications for a rigorous talent management strategy. If adequate attention is paid to this dimension, then it can lead to gaining of competitive advantage, through retention and development of key talent.

The purpose of this paper is to investigate structural patterns across industries in India. Organizational design is posited as a form of competitive advantage, which also helps Indian organizations build excellence.

The study used a questionnaire to investigate the structural patterns of organization in 32 enterprises in India. The sample consisted of 1,532 participants across six industries. The data were analyzed using SPSS v.15.0.

The findings suggest that the outward picture of structural patterns remains the same across industries but significant difference emerge in the inner core of the structural architecture of Indian organizations. For example, the inner core of the banking industry was found to be different from the other five industries studied.

The findings suggest that the links between organizational structure and national culture should be harmonious. Simultaneously, the structure of the organizations should be aligned with both the task and general environment of the business.

There is a scarcity of research into this domain of knowledge in India and the paper provides additional insights into the organizational structures of Indian enterprises across the major industrial sectors.