Detection of hidden structures on all scales in amorphous materials and complex physical systems: basic notions and applications to networks, lattice systems, and glasses

Recent decades have seen the discovery of numerous complex materials. At the root of the complexity underlying many of these materials lies a large number of possible contending atomic- and larger-scale configurations and the intricate correlations between their constituents. For a detailed understanding, there is a need for tools that enable the detection of pertinent structures on all spatial and temporal scales. Towards this end, we suggest a new method by invoking ideas from network analysis and information theory. Our method efficiently identifies basic unit cells and topological defects in systems with low disorder and may analyze general amorphous structures to identify candidate natural structures where a clear definition of order is lacking. This general unbiased detection of physical structure does not require a guess as to which of the system properties should be deemed as important and may constitute a natural point of departure for further analysis. The method applies to both static and dynamic systems.Comment: (23 pages, 9 figures

Determinants of Energy Intensity in Indian Manufacturing Industries: A Firm Level Analysis

The demand for energy, particularly for commercial energy, has been growing rapidly with the growth of the economy, changes in the demographic structure, rising urbanization, socio-economic development, and the desire for attaining and sustaining self-reliance in some sectors of the economy. In this context the energy intensity is one of the key factors, which affect the projections of future energy demand for any economy. Energy intensity in Indian industry is among the highest in the world. According to the GoI statistics, the manufacturing sector is the largest consumer of commercial energy in India. Energy consumption per unit of production in the manufacturing of steel, aluminum, cement, paper, textile, etc. is much higher in India, even in comparison with some developing countries. In this study we attempt to analyze energy intensity at firm level and define energy intensity as the ratio of energy consumption to sales turnover. The purpose of this study is to understand the factors that determine industrial energy intensity in Indian manufacturing. The results of the econometric analysis, based on firm level data drawn from the PROWESS data base of the Centre for Monitoring Indian Economy during recent years, identify the sources of variation in energy intensity. Also, we found a non-linear ‘U’ shaped relationship between energy intensity and firm size, implying that both very large and very small firms tend to be more energy intensive. The analysis also highlights that ownership type is an important determinant of energy intensity. We found that foreign owned firms exhibit a higher level of technical efficiency and therefore are less energy intensive. The technology import activities are important contributors to the decline in firm- level energy intensity. The paper also identifies that there is a sizable difference between energy intensive firm and less energy intensive firms. In addition the results shows that younger firms are more energy efficient as compared to the older firms and an inverse U’ shaped relationship is found between the energy intensity and the age of the firm.Energy Intensity, Commercial Energy Consumption, Indian Manufacturing Industries

Determinants of Energy Intensity: A Preliminary Investigation of Indian Manufacturing

The demand for energy, particularly for commercial energy, has been growing rapidly with the growth of the economy, changes in the demographic structure, rising urbanization, socio-economic development. In this context the energy intensity is one of the key factors which impact the projections of future energy demand. The Indian manufacturing sector is among the largest consumer of commercial energy compared to the other industries in India. Energy consumption per unit of production in the manufacturing of steel, aluminum, cement, paper, textile, etc. is much higher in India, in comparison to other developing countries. The purpose of this study is to understand the factors that influence industrial energy intensity in Indian manufacturing. The analysis undertaken in this paper find a positive relationship between energy intensity and firm size and an inverted U’ shaped relationship between energy intensity and size of the firm. The analysis shows that the foreign owned firms are less energy intensive compared to the domestic firms. Capital intensive firms as well as firms spending more on repair and maintenance are found to be more energy intensive. Further the results shows that expenditure on the research and development contribute to reduce firm level energy intensity and there is a sizable difference between highly energy intensive firm and less energy intensive firms.Energy Intensity, Commercial Energy Consumption, Indian Manufacturing Industries

Decomposition of Industrial Energy Consumption in Indian Manufacturing : The Energy Intensity Approach

Increasing energy consumption has been one of the major issues in the environmental and industrial economics in the context of global climate change. Recent literature has dealt with several methodological and application issues related to the technique of decomposing changes in industrial energy consumption. In this paper, we examine these issues in the context of another commonly adopted approach to decomposition of aggregate changes in energy intensity of Indian manufacturing industries. The industrial sector accounts for about 37 percent of the total final energy consumption in India. Of this the manufacturing sector consumes about 66 percent (2004-05). The manufacturing sector is one of the energy intensive industries among other industries in India. The scope of the study includes an empirical analysis of General Parametric Divisia Method. This paper follows the energy intensity approach rather the energy consumption approach. This method involves decomposition of the aggregate energy intensity index measured in terms of energy consumption per unit of output. The analysis also includes a comparison of the time series analysis versus the period-wise decomposition. The factors considered are changes in production structure and sectoral energy intensities. The results of the analysis confirm that the changes in sectoral energy intensity play a greater role in the variation in the total energy intensity of Indian Manufacturing compared to the changes in the production structure of the Industries.Decomposition Methodology, Energy Intensity, Manufacturing Industries, India