Journal articles: 'Energy intensive industries- India'

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Soni, Archana, Arwind Mittal, and Manmohan Kapshe. "Energy Intensity analysis of Indian manufacturing industries." Resource-Efficient Technologies, no. 3 (September 1, 2017): 353–57. http://dx.doi.org/10.18799/24056529/2017/3/146.

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Energy has been recognized as one of the key inputs for the economic growth and social development of a country. India being one of the largest and rapidly growing developing countries, there is an impending energy crisis which requires immediate measures to be adopted. In this situation the concept of Energy Intensity comes under special focus to ensure energy security in an environmentally sustainable way. Energy Intensity of Indian manufacturing industries is among the highest in the world and stands for enormous energy consumption. Hence, reducing the Energy Intensity of Indian manufacturing industries is one of the challenges. This study attempts to analyse the factors which influence the Energy Intensity of Indian manufacturing industries and how they can be improved to reduce the Energy Intensity. The paper considers five of the largest energy consuming manufacturing industrial sectors in India viz. Aluminium, Cement, Iron & Steel Industries, Textile Industries and Fertilizer Industries and conducts a detailed Energy Intensity analysis using the data from PROWESS database of the Centre for Monitoring Indian Economy (CMIE) for the period 2005–2014.

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Oak, Hena. "ANALYSING FACTORS INFLUENCING ENERGY INTENSITY OF INDIAN CEMENT INDUSTRY." International Journal of Engineering Technologies and Management Research 5, no. 2 (February 10, 2020): 213–20. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.165.

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India is a fast growing economy, with a considerable dependence on energy resources. Energy resources mainly comprise of fossil fuels that are highly emission intensive. In order to move towards sustainable development, it is important to reduce emissions. Since a sizable amount of emissions gets generated from the use of energy resources, it is essential to use energy more efficiently and reduce energy intensity. In India the industrial sector is the biggest consumer of energy and hence energy intensity of this sector has to be improved. To achieve this, Bureau of Energy Efficiency and Ministry of Power launched the Perform-Achieve-Trade scheme for 8 most energy intensive industries in India. This study was conducted to analyse the impact of the Perform-Achieve-Trade scheme on the energy intensity of the Indian Cement Industry, which was one of the eight energy intensive industries. Effect of other determinants like FDI, Domestic R&D, Imports and Exports were also estimated. The paper does a panel data study for the years 1997-2015. Results suggest that BEE’S PAT scheme has been successful for the Cement industry as the designated consumers have lower energy intensity on an average during the periods this scheme was announced and implemented

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Verma, Piyush, Alka Verma, and Anupam Agnihotri. "India’s initiatives on Improving Energy Efficiency in Aluminium Industries." Asia Pacific Journal of Energy and Environment 2, no. 2 (December 31, 2015): 53–60. http://dx.doi.org/10.18034/apjee.v2i2.224.

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India is an important player in the aluminium, especially because of its abundant bauxite reserves and low-cost skilled manpower. The sector has a significant importance in the growth of Indian economy since the aluminium consumption follows GDP growth curve. Indian aluminium sector is observed as one of the energy intensive sectors with ample scope for improvements in energy efficiency as compared to world standards. The aluminium industries are upgrading themselves by adapting state-of-art technologies, which are more energy-efficient and sustainable in a highly competitive market. These initiatives are further accelerated and motivated by an innovative incentivization scheme (called Perform, Achieve and Trade) of Govt. of India. Currently, the first phase (2012-15) is under implementation, and an unexpected movement towards energy efficiency is envisaged as a result that will ultimately lead towards production of low carbon aluminium for the society.

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Golder, Bishwanath. "Energy Intensity of Indian Manufacturing Firms." Science, Technology and Society 16, no. 3 (November 2011): 351–72. http://dx.doi.org/10.1177/097172181101600306.

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The energy intensity of Indian manufacturing has declined signifi cantly since 1992. Between 1992–93 and 2007–08, it fell by about 50 per cent. However, it seems, there is scope for further substantial decline in energy intensity, since industrial energy consumption data across states indicate signifi cant inter-plant variation in the energy intensity of energy-intensive industries. The paper examines the factors that infl uence energy intensity in Indian industries. The results of the analysis indicate that the post-1992 decline in energy intensity of Indian manufacturing is attributable mostly to an improvement in energy use efficiency of energy-intensive industries, which in turn may be traced in part to hikes in the real price of energy paid by manufacturing fi rms. The results also show a signifi cant impact of technological change on energy intensity and presence of energy efficiency spillover effects from foreign fi rms to local firms.

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Bagchi, Prantik, and Santosh Kumar Sahu. "Energy Intensity, Productivity and Pollution Loads: Empirical Evidence from Manufacturing Sector of India." Studies in Microeconomics 8, no. 2 (July 16, 2020): 194–211. http://dx.doi.org/10.1177/2321022220930968.

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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.

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Anjana Das, Tara Chandra Kandpal. "A Modeling Framework for Estimating Energy Demand and CO2 Emissions from Energy Intensive Industries in India." Energy Sources 21, no. 7 (June 1999): 649–61. http://dx.doi.org/10.1080/00908319950014597.

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Mukherjee, Arijit, Soumendra Nath Basu, and Sayan Paul. "A REVIEW ON ENERGY EFFICIENCY OF STEEL PLANTS IN INDIA." International Journal of Engineering Technologies and Management Research 5, no. 4 (February 24, 2020): 7–16. http://dx.doi.org/10.29121/ijetmr.v5.i4.2018.203.

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The steel industry being highly energy intensive in nature is one the major consumers of energy. The iron and steel industry is the largest energy consuming manufacturing sector in the world. It is therefore that the question of fuel or energy has been of the highest importance in steel making, and one can boldly claim that all other conditions remaining constant, saving or wasting of fuel can make the difference between a profit or a loss of a steel plant. Energy conservation in steel plants is very crucial to ensure the competitiveness of the steel producing industries and to minimise environmental impacts. India's leading iron and steel companies, scored averages at best in Centre for Science and environment green rating test. The Indian iron and steel sector's energy consumption of 6.6 GCal per tonne, is 50 per cent higher than the global best practice. The integrated steel plants in India have the opportunities to strengthen their operations and minimise energy losses and wastages to reduce specific energy consumption by 5-6%. To reduce the gaps between India and developed countries we have to follow the technological advancement and implementation of innovative strategies at every stage of the operation of steel plants. The specific energy consumption in the Indian steel industry is high compared to that in advanced countries. Data for four integrated steel plants in India have been analysed. World crude steel production reached 1.621 million tones (Mt) in 2015. To meet the needs of our growing population, steel use is projected to increase by 1.5 times that of present level by 2050.

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Tripathy, Upendra Prasad, and Sunil Kumar Bishoyi. "Reduction of Colour from effluents of Pulp and Paper Industry by Ozonation: A Review." Research Journal of Chemistry and Environment 25, no. 12 (November 25, 2021): 170–74. http://dx.doi.org/10.25303/2512rjce170174.

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Pulp and paper making is the major old process industry in India which is water intensive and generates heavy water pollution. Pulp and paper industries are the fifth largest contributor to industrial water pollution. Waste water is generated from each and every section of paper making process and depends upon the type of pulping and bleaching process. Presently, primary and secondary (Biological) treatment systems based on activated sludge process are widely used by paper industry for effluent treatment. The process requires high energy and chemical inputs and involves high operational costs. One of the novel processes for treating effluent is its oxidation through ozonation which is a greener way of degrading pollutants. Ozonation of intermediate stage effluents having high colour load is more effective for industrial application and re-utilization.

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Nabernegg, Stefan, Birgit Bednar-Friedl, Fabian Wagner, Thomas Schinko, Janusz Cofala, and Yadira Mori Clement. "The Deployment of Low Carbon Technologies in Energy Intensive Industries: A Macroeconomic Analysis for Europe, China and India." Energies 10, no. 3 (March 14, 2017): 360. http://dx.doi.org/10.3390/en10030360.

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Athira, G., A. Bahurudeen, and Srinivas Appari. "Sustainable alternatives to carbon intensive paddy field burning in India: A framework for cleaner production in agriculture, energy, and construction industries." Journal of Cleaner Production 236 (November 2019): 117598. http://dx.doi.org/10.1016/j.jclepro.2019.07.073.

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Ramkumar, G., B. Arthi, S. D. Sundarsingh Jebaseelan, M. Gopila, P. Bhuvaneswari, R. Radhika, and Geremew Geidare Kailo. "Implementation of Solar Heat Energy and Adsorption Cooling Mechanism for Milk Pasteurization Application." Adsorption Science & Technology 2022 (October 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/5125931.

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The use of renewable energy is crucial to the global growth of sustainability. Milk business amongst many other food industry divisions requires a significant amount of energy, making the meal processing business one of the most energy-intensive industries. As of right now, more than 30 percent of the dairy produced in India is processed. In distant parts of India, milk spoiling is more common due to the delay among milking and storing; as a result, facilities for quick pasteurization and storage are needed. Heated is necessary for pasteurization. Since for a long time, the Indian milk industry has relied on nonrenewable energy sources, that are not only becoming much more costly but are also to blame for significant environmental issues including greenhouse gases and health issues. Consequently, scientific communities, environmental and social organizations, and the governments have all pushed the use of green energy. Solar energy has been shown to be the most viable among various sustainable and renewable energies given the geographical position of India. Solar energy can be used to pasteurize milk because of the energy intensity and range of temperature requirements. Adsorbent refrigerator is recommended here since it is powered by waste/solar heat and can store (200 liters of milk) at low temperatures until it is distributed after the pasteurization process (easily available from farm waste). The solar collector of evacuated tube is used for minimizing heat loss and pasteurizing milk. The outcome demonstrates that milk can be simply pasteurized at 73°C for 25minutes at a flow rate of 5 liter per minutes. A solar energy adsorbent refrigeration system has been constructed and described for keeping 200 liters of milk at 10-15°C for 9–11 hours. Investigation findings indicate that the specific cooling power of the system is sufficient to store 200 liters of milk at 5.8 kW/kg and 5.5 kW/kg for 500 liter per hours hot water supplied at 92°C, 32°C condenser temperatures, and 5°C evaporator temperatures. The heat loss of evacuated tube collector is compared to solar concentrator. The study results provide evacuated tube collector is better for pasteurizing milk since to its highly efficient, longevity, and compactness.

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Patel, Shalu, Savita Dixit, Kavita Gidwani Suneja, and Nilesh Tipan. "Second Generation Biofuel – An Alternative Clean Fuel." SMART MOVES JOURNAL IJOSCIENCE 7, no. 3 (March 26, 2021): 13–21. http://dx.doi.org/10.24113/ijoscience.v7i3.364.

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Renewable energy resources are in high demand to decrease dependence on fossil fuels and mitigate greenhouse gas emissions. Biofuel industries, particularly bioethanol and biodiesel, have been rapidly increasing in tandem with agricultural production over more than a decade. First-generation biofuel manufacturing is heavily reliant on agriculture food sources like maize, sugarcane, sugar beets, soybeans, and canola. As a result, the intrinsic competitiveness among foods and fuels has been a point of contention in community for the past couple of years. Existing technological advancements in research and innovation have paved the way for the manufacturing of next-generation biofuels from a variety of feedstock’s, including agricultural waste materials, crops remnants and cellulosic biomass from high-yielding trees and bushes varieties. This report discusses the existing state of second-generation biofuel manufacturing as well as the feedstock utilized in fuel production, biofuel production globally and the current situation in India. This study also explores the current advancements in the findings and advancement of second-generation biofuel extraction from various feedstock’s. The forthcoming directions of agriculture and energy industrial sectors has also been addressed in order to feed the world 's growing population and to fuel the world's most energy-intensive industry, transportation.

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Banerjee, Suvajit. "Carbon Emissions Embodied in India–United Kingdom Trade: A Case Study on North–South Debate." Foreign Trade Review 55, no. 2 (March 11, 2020): 199–215. http://dx.doi.org/10.1177/0015732519894149.

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This study is an appraisal of North–South trade and environmental debate on the context of ‘carbon leakage hypothesis’. This article attempts to quantify the CO2 emissions embodied in the bilateral trade between India and the United Kingdom (hereafter mentioned as the UK) using an input–output model-based analysis for the year 2015. It further proposes a hypothetical situation of no trade between India and UK in order to calculate and analyse the contribution of this bilateral trade in global CO2 emissions. The results from this study confirm the possibility of ‘carbon leakage’ from Indian commodity production sectors and find that among two trade partners, the UK is able to avoid more carbon emissions than India through trade which helps the UK to reach their carbon emission mitigation targets. On the average, manufacturing of commodities in India those are to be exported to the UK generates 1.053 kilo-tonnes of CO2 emission per million dollars of export annually and manufacturing of commodities in the UK which are imported to India generates only 0.141 kilo-tonnes of CO2 emission per million dollars of import from the UK annually for the years 2011, 2013 and 2015. This is because of the proportionately higher consumption of more emission-intensive energy items, like coal, and coal products by India in industrial production than the UK. At the end of the article, this study proposes a few suggestions to ensure a decent level of emission imbalance in the trade flows for the anticipation of increasing India–UK bilateral trade in coming days due to post-BREXIT eventualities to reduce the pressure on the global environment. JEL Codes: C67, F64, Q37, Q42

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Sajid, Muhammad Jawad, Qingren Cao, Ming Cao, and Shuang Li. "Sectoral carbon linkages of Indian economy based on hypothetical extraction model." International Journal of Climate Change Strategies and Management 12, no. 3 (April 4, 2020): 323–47. http://dx.doi.org/10.1108/ijccsm-11-2018-0075.

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Purpose Presentation of the different industrial carbon linkages of India. The purpose of this paper is to understand the direct and indirect impact of these industrial linkages. Design/methodology/approach This study uses a hypothetical extraction method with its various extensions. Under this method, different carbon linkages of a block are removed from the economy, and the effects of carbon linkages are determined by the difference between the original and the post-removal values. Energy and non-energy carbon linkages are also estimated. Findings “Electricity, gas and water supply (EGW)” at 655.61 Mt and 648.74 Mt had the highest total and forward linkages. “manufacturing and recycling” at 231.48 Mt had the highest backward linkage. High carbon-intensive blocks of “EGW” plus “mining and quarrying” were net emitters, while others were net absorbers. “Fuel and chemicals” at 0.08 Mt had almost neutral status. Hard coal was the main source of direct and indirect emissions. Practical implications Net emitting and key net forward blocks should reduce direct emission intensities. India should use its huge geographical potential for industrial accessibility to cheaper alternative energy. This alongside with technology/process improvements catalyzed by policy tools can help in mitigation efforts. Next, key net-backward blocks such as construction through intermediate purchases significantly stimulate emissions from other blocks. Tailored mitigation policies are needed in this regard. Originality/value By developing an understanding of India’s industrial carbon links, this study can guide policymakers. In addition, the paper lays out the framework for estimating energy and non-energy-based industrial carbon links.

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Fasake, Vinayak, and Kavya Dashora. "Characterization and Morphology of Natural Dung Polymer for Potential Industrial Application as Bio-Based Fillers." Polymers 12, no. 12 (December 17, 2020): 3030. http://dx.doi.org/10.3390/polym12123030.

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The modern-day paper industry is highly capital-intensive industries in the core sector. Though there are several uses of paper for currency, packaging, education, information, communication, trade and hygiene, the flip side of this industry is the impact on the forest resources and other ecosystems which leads to increasing pollution in water and air, influencing several local communities. In the present paper, the authors have tried to explore potential and alternate source of industrial pulp through ruminant animal dung, which is widely available as a rural resource in India. Three types of undigested animal dung fibers from Indigenous cow (IDF), Jersey cow (JDF), and Buffalo (BDF) were taken. Wheat straw (WS) was the main diet of all animals. The cellulose, hemicellulose and lignin content for all animal dung samples were found in a range of (29–31.50%), (21–23.50%), and (11–13%), respectively. The abundant holocellulose and low lignin contents are suitable for handmade pulp and paper. Surface characteristics of fodder (WS) and all dung fibers have been investigated using Fourier Transform Infrared Spectroscopy (FTIR), scanning electron microscopy (SEM), and SEM-Energy dispersive X-ray spectroscopy (SEM-EDX). To increase paper production without damaging forest cover, it is essential to explore unconventional natural resources, such as dung fiber, which have the huge potential to produce pulp and paper, reinforcement components, etc.

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Benalcazar, Pablo, Małgorzata Krawczyk, and Jacek Kamiński. "Forecasting global coal consumption: An artificial neural network approach." Gospodarka Surowcami Mineralnymi 33, no. 4 (December 20, 2017): 29–44. http://dx.doi.org/10.1515/gospo-2017-0042.

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Abstract In the 21st century, energy has become an integral part of our society and of global economic development. Although the world has experienced tremendous technological advancements, fossil fuels (including coal, natural gas, and oil) continue to be the world’s primary energy source. At the current production level, it has been estimated that coal reserves (economically recoverable) would last approximately 130 years (with the biggest reserves found in the USA, Russia, China, and India). The intricate relationship between economic growth, demographics and energy consumption (particularly in countries with coal intensive industries and heavy reliance on fossil fuels), along with the elevated amounts of greenhouse gases in the atmosphere, have raised serious concerns within the scientific community about the future of coal. Thus, various studies have focused on the development and application of forecasting methods to predict the economic prospects of coal, future levels of reserves, production, consumption, and its environmental impact. With this scope in mind, the goal of this article is to contribute to the scarce literature on global coal consumption forecasting with the aid of an artificial neural network method. This paper proposes a Multilayer Perceptron neural network (MLP) for the prediction of global coal consumption for the years 2020-2030. The MLP-based model is trained with historical data sets gathered from financial institutions, global energy authorities, and energy statistic agencies, covering the years 1970 through 2016. The results of this study show a deceleration in global coal consumption for the years 2020 (3 932 Mtoe), 2025 (4 069 Mtoe) and 2030 (4 182 Mtoe).

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Haider, Salman, and Javed Ahmad Bhat. "Does total factor productivity affect the energy efficiency." International Journal of Energy Sector Management 14, no. 1 (January 6, 2020): 108–25. http://dx.doi.org/10.1108/ijesm-11-2018-0010.

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Purpose Because of growing energy consumption and increasing absolute CO2 emissions, the recent calibrations about the environmental sustainability across the globe have mandated to achieve the minimal energy consumption through employing energy-efficient technology. This study aims to estimate linkage between simple measure of energy efficiency indicator that is reciprocal of energy intensity and total factor productivity (TFP) in case of Indian paper industry for 21 major states. In addition, the study incorporates the other control variables like labour productivity, capital utilization and structure of paper industry to scrutinize their likely impact on energy efficiency performance of the industry. Design/methodology/approach To derive the plausible estimates of TFP, the study applies the much celebrated Levinsohn and Petrin (2003) methodology. Using the regional level data for the period 2001-2013, the study employs instrumental variable-generalized method of moments (GMM-IV) technique to examine the nature of relationship among the variables involved in the analysis. Findings An elementary examination of energy intensity shows that not all states are equally energy intensive. States like Goa, Rajasthan, Jharkhand and Tamil Nadu are less energy intensive, whereas Uttar Pradesh, Kerala, Chhattisgarh, Assam and Punjab are most energy-intensive states on the basis of their state averages over the whole study period. The results estimated through GMM-IV show that increasing level of TFP is associated with lower level of energy per unit of output. Along this better skills and capacity utilization are also found to have positive impact on energy efficiency performance of industry. However, the potential heterogeneity within the structure of industry itself is found responsible for its higher energy intensity. Practical implications States should ensure and undertake substantial investment projects in the research and development of energy-efficient technology and that targeted allocations could be reinforced for more fruitful results. Factors aiming at improving the labour productivity should be given extra emphasis together with capital deepening and widening, needed for energy conservation and environmental sustainability. Given the dependence of structure of paper industry on the multitude of factors like regional inequality, economic growth, industrial structure and the resource endowment together with the issues of fragmented sizes, poor infrastructure and availability and affordability of raw materials etc., states should actively promote the coordination and cooperation among themselves to reap the benefits of technological advancements through technological spill overs. In addition, owing to their respective state autonomies, state governments should set their own energy saving targets by taking into account the respective potentials and opportunities for the different industries. Despite the requirement of energy-efficient innovations, however, the cons of technological advancements and the legal frameworks on the employment structure and distributional status should be taken care of before their adoption and execution. Originality/value To the best of our knowledge, this is the first study that empirically examines the linkage between energy efficiency and TFP in case of Indian paper industry. The application of improved methods like Levinsohn and Petrin (2003) to derive the TFP measure and the use of GMM-IV to account for potential econometric problems like that of endogeneity will again add to the novelty of study.

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Ghosh, Jyotirmoy, and Anjaneya Swamy. "Strategies For Entrepreneurship And Innovation - A Case Study." Ushus - Journal of Business Management 9, no. 1 (January 10, 2010): 61–72. http://dx.doi.org/10.12725/ujbm.16.6.

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Entrepreneurs all over the world have contributed to the economic development of their region. They play a major role not only in organizing production, but in a broader sense, promote the process of economic development. The function of an entrepreneur is to reform or revolutionize the pattern of production by exploiting an invention or more generally an untried technology possibly for producing a new commodity or producing an old one in a new way, by opening up a new source of supply of raw materials or developing a new market. The factor responsible for change, development and ultimately economic growth is innovation. Innovation is the key for not only in developing, new products or (services) for the market but also in stimulating investment interest in the new ventures being created. Innovation is the principal ingredient of entrepreneurship.Tourism is a smokeless service industry as it consumes less energy and pollutes least compared to any manufacturing industry. United Nations, World Tourism Organization and Department of Tourism Government of India have bestowed 'Industry' status to tourism in order to enable the industry to enjoy all the incentives and grants offered to industries in general. Currently tourism enjoys the pride of being the second largest growing industry next to IT. Tourism promotes better national and international relationship through cross culture interaction. Backward areas with its residing people can be uplifted with tourism activities without investing in capital intensive industries. The importance of tourism industry is more pronounced as it employs the largest number of manpower and earns the maximum foreign exchange. Being a part of the services sector tourism has also given birth to innumerable entrepreneurs who thrived on their personal creativity and innovativeness.An effort has been made in this paper to present the career progress of Captain Gopinath who is undoubtedly one of the greatest tourism/ entrepreneurs of the 21s1 century in India. Gopinath sacrificed a secured career in the Indian armed forces to strike on his own and in the process established a number of entrepreneurial establishments in aviation and tourism industry. Captain Gopinath neither followed management theories nor had formal management qualifications. But his actions and achievements had close resemblance with the deliberations of the best management gurus. A study have been conducted to compare the behaviors, actions and achievements of Captain Gopinath with the works of great authors who have researched and contributed over the years on 'Entrepreneurship'.

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Wadhva, Charan D. "Management of Rising Power by China and India in the 21st Century: Scope for Strategic Partnership." Vikalpa: The Journal for Decision Makers 31, no. 3 (July 2006): 1–12. http://dx.doi.org/10.1177/0256090920060301.

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China and India are being widely recognized as rising powers in the 21st century. With its track record of fast economic growth in the last two decades, China is already a global economic power. Based on India's more recent growth performance, India is steadily catching up with China as an economic power. Despite fundamental differences in their political systems, both countries have acquired rising economic power due to open market economy-oriented reforms. China has the advantage of an earlier start than India in this respect. China started its economic reforms in 1978 and India in 1991. These economic reforms have miraculously transformed China into a global economic power. Although politically constrained, economic reforms have helped India to improve its growth trajectory and to further integrate with the global economy. China and India have been following different paths for managing their rising power: China has been credited with carefully evolving a grand vision and a grand strategy for transforming it into a ‘global power’ by the year 2020 (or so). Pragmatism and effective political will have been the hallmarks of the ‘calculated strategy’ adopted by China to achieve this objective. India's economic power has been rising more due to the impulses generated by its entrepreneurs especially in the knowledge-intensive services and industries than due to its government's pursuit of a well-thoughtout grand vision and grand strategy for becoming a global power. Currently, China is nearly two decades ahead of India in moving towards acquiring significant global power. The author's analysis of the existing and projected strengths and weaknesses of both countries in this paper leads him to the conclusion that both the countries have the potential to become global powers — China most probably by the year 2020 and India by the year 2050. Further analysis of the existing and potential complementarities and competition in the economies of China and India indicates that there is a tremendous scope for forging mutually beneficial strategic partnership between them. A very useful beginning can be made in this direction by establishing mutually rewarding strategic alliances in these two countries at the business-to-business level. Progress in this direction can be expedited by supportive government policies and procedures. Despite the existing deficit of political trust between India and China, the two countries have recently agreed to become strategic partners. Concrete moves towards operationalizing this strategic partnership can be initiated in two areas identified in this paper. These are: strengthening cooperation at the international level for enhancing national energy security further cooperation in negotiations at the World Trade Organization and other multilateral forums for collectively promoting the interests of all developing countries in the emerging new international trade and investment order.

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Soni, Archana, Arvind Mittal, and Manmohan Kapshe. "Energy Intensity analysis of Indian manufacturing industries." Resource-Efficient Technologies 3, no. 3 (September 2017): 353–57. http://dx.doi.org/10.1016/j.reffit.2017.04.009.

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Gahukar, R. T. "Green Revolution in Food Crops: An Indian Experience." Outlook on Agriculture 21, no. 2 (June 1992): 129–36. http://dx.doi.org/10.1177/003072709202100208.

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India is an agricultural country with about 80% of its people dependent on agricultural activites for their livelihood. Indian agriculture accounts for 40% of Gross National Product and about 35% of total exports. The green revolution in agriculture began in the 1960s, and spectacular achievements in foodgrain production (cereals, pulses and oilseeds) resulted from the cultivation of introduced high yielding crop cultivars supplemented with fertilizers, pesticides and irrigation. The green revolution helped the country to feed the people, to stop importing foodgrains and to increase the employment potential. But increasing human population and slow industrial growth resulted in economic imbalance. The green revolution was confined to certain crops (rice, wheat) at the expense of others. The high input technology created problems of continuous monoculture cropping, depletion of the water table, deterioration of soils, introduction and multiplication of insect pests, plant diseases and weeds, intensive use of energy, chemical fertilizers and pesticides, increase in soil salinity and alkalinity, environmental pollution and ecological imbalance. The socio-economic inequalities have been enlarged in rural areas and the land/labour ratio has declined. Local crop cultivation practices have been abandoned even by small farmers. Management in agriculture escaped the attention of policy makers and scientists, and the role of rural women was ignored. Inter- and intra-regional disparities in agricultural development have created serious social and political repercussions. The farm policy has not yet been finalized. Possible solutions to overcome present difficulties and benefit marginal and small farmers and economically backward areas are discussed.

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Reddy, B. Sudhakara, and Binay Kumar Ray. "Decomposition of energy consumption and energy intensity in Indian manufacturing industries." Energy for Sustainable Development 14, no. 1 (March 2010): 35–47. http://dx.doi.org/10.1016/j.esd.2009.12.001.

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Gupta, Sandeep Kumar, Shivam Gupta, and Pavitra Dhamija. "An empirical study on productivity analysis of Indian leather industry." Benchmarking: An International Journal 26, no. 3 (April 1, 2019): 815–35. http://dx.doi.org/10.1108/bij-06-2018-0156.

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Purpose It is essential to track the development of resource and pollution intensive industries such as textile, leather, pharmaceutical, etc., under burgeoning pressure of environmental compliance. Therefore, the purpose of this paper is to analyze the progress of Indian leather industry in terms of individual factors and total factor productivity. Design/methodology/approach This study applies and examines the various concepts of productivity such as labor productivity, capital productivity, material productivity and energy productivity. Further, it assesses and compares the performance of Indian leather industry in Tamil Nadu (TN), West Bengal (WB) and Uttar Pradesh (UP) based on productivity analysis, spatial variations determinants in productivity and technology closeness ratio. Findings The findings suggest that as per the productivity analysis, WB leather clusters have performed remarkably better in terms of partial factor productivity and technical efficiency (TE), followed by TN and UP. This can be attributed to shifting of leather cluster of WB to a state-of art leather complex with many avenues for resource conservation. Further, the findings reveal that the firm size and partial factor productivities have significant positive correlation with TE which supports technological theory of the firm. Practical implications The results of this study can be useful for the policy makers associated with the Indian leather industry especially to design interventions to support capacity building at individual firm level as well as cluster level to enhance the efficiency and productivity of overall industry. Social implications The findings also support the resource dependence theory of firm according to which the larger size firms should reflect on resource conservation practices, for instance the concept of prevention is better than cure based upon 3R (reduce, recycle and reuse) principles. Originality/value The paper gives an explanation of the productivity in the leather industry in terms of its factor productivity and TE.

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Lakkanawanit, Pankaewta, Wilawan Dungtripop, Muttanachai Suttipun, and Hisham Madi. "Energy Conservation and Firm Performance in Thailand: Comparison between Energy-Intensive and Non-Energy-Intensive Industries." Energies 15, no. 20 (October 12, 2022): 7532. http://dx.doi.org/10.3390/en15207532.

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This study investigated and compared energy conservation levels between listed companies in energy-intensive industries and non-energy-intensive industries in Thai capital markets. It also tested the impact of energy conservation on firm performance using companies in the two industries. The sample for the study was sourced from 552 companies in the Stock Exchange of Thailand (SET) and 169 companies in the Market for Alternative Investment (MAI). The data was collected from the companies' annual reports spanning the period from 2016 to 2020. Descriptive analysis, independent sample t-test, and unbalanced panel data analysis were used to analyze data. The findings revealed that energy conservation scores for Thai-listed companies were generally stable, averaging between 0.45 and 0.46. It was also revealed that the energy conservation of companies in energy-intensive industries was significantly greater than that of companies in non-energy-intensive industries, with average scores of 0.55 and 0.43, respectively. Additionally, the study found that energy conservation has a positive impact on the firm performance of energy-intensive industries, while no significant impact in energy-intensive industries was recorded. The findings demonstrate that stakeholder and legitimacy theories can help explain how energy conservation benefits companies in terms of increased firm performance.

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Locmelis, Kristaps, Uldis Bariss, and Dagnija Blumberga. "Latvian Energy Policy on Energy Intensive Industries." Energy Procedia 113 (May 2017): 362–68. http://dx.doi.org/10.1016/j.egypro.2017.04.008.

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Sudhakara Reddy, B., and Binay Kumar Ray. "Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector." Energy Policy 39, no. 11 (November 2011): 7234–43. http://dx.doi.org/10.1016/j.enpol.2011.08.044.

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Thollander, Patrik, and Mikael Ottosson. "Energy management practices in Swedish energy-intensive industries." Journal of Cleaner Production 18, no. 12 (August 2010): 1125–33. http://dx.doi.org/10.1016/j.jclepro.2010.04.011.

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Parida, Purna Chandra, and Kailash Chandra Pradhan. "Productivity and efficiency of labour intensive manufacturing industries in India." International Journal of Development Issues 15, no. 2 (July 4, 2016): 130–52. http://dx.doi.org/10.1108/ijdi-12-2015-0081.

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Purpose This paper aims to make an attempt to identify labour intensity of organized manufacturing industries in India using the Annual Survey of Industry (ASI) data at three-digit level. It estimates total factor productivity growth (TFPG) and technical efficiency for both labour intensive and all manufacturing industries during the pre- and post-reforms periods. Design/methodology/approach The study uses three approaches to estimate TFPG. They are growth accounting (GA) (non-parametric), production function with correction for endogeneity – Levinsohn-Petrin (LP) (semi-parametric) and stochastic production frontier (SPF) analysis (parametric). The study uses ASI data published by Central Statistical Organization, Government of India for the period 1980-1981 to 2007-2008 for the analysis. Findings The study finds that the rate of decline of the labour intensity is more pronounced in the case of labour-intensive industries than all the manufacturing industries. The results of GA method suggest that the TFPG of labour-intensive industries has declined continuously from the pre-reforms period to the post-reforms period. Similarly, LP method indicates a continuous decline in TFPG of labour-intensive manufacturing industries during the post-reforms period. Interestingly, the results of SPF method also corroborate the findings of earlier two methods at the aggregate level but vary at a certain degree at the disaggregated level. Originality/value This paper is useful in the context of India considering the importance given to labour-intensive industries by the present government in terms of reviving the sector and improving the productivity and output.

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Chen, You-hua, Chan Wang, and Pu-yan Nie. "Emission regulation of conventional energy-intensive industries." Environment, Development and Sustainability 22, no. 4 (May 7, 2019): 3723–37. http://dx.doi.org/10.1007/s10668-019-00364-x.

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Svalestuen, Jørild, Svein G. Bekken, and Lars Ingolf Eide. "CO2 Capture Technologies for Energy Intensive Industries." Energy Procedia 114 (July 2017): 6316–30. http://dx.doi.org/10.1016/j.egypro.2017.03.1768.

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Chan, David Yih-Liang, Chi-Feng Huang, Wei-Chun Lin, and Gui-Bing Hong. "Energy efficiency benchmarking of energy-intensive industries in Taiwan." Energy Conversion and Management 77 (January 2014): 216–20. http://dx.doi.org/10.1016/j.enconman.2013.09.027.

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Aneja, Ranjan, and Ummed Singh. "Trade Liberalization and its Environmental Impact in India: An Empirical Analysis." Asian Review of Social Sciences 7, no. 1 (May 5, 2018): 111–19. http://dx.doi.org/10.51983/arss-2018.7.1.1376.

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The debate on the impact of trade on environment is pertinent considering the increasing volume of trade among world nations and the changes in environmental quality. In India, this increase was higher because of the gradual lifting of the quantitative restrictions and reduction in tariffs after trade liberalization in 1991. The pollution haven effect occurs when trade liberalization, coupled with lax environmental regulations results in increasing economic activities in pollution intensive industries. Using industry level data for the period 1998-2008, for fifty eight manufacturing industries in India, this paper looks at output and export trends and attempts to examine, whether trade liberalization is associated with a shift in production and exportation towards pollution intensive goods industries (pollution haven effect). Manufacturing output has been significantly higher from the water pollution intensive sectors compared to the air and toxic pollution intensive sectors. This evidence provides some support for concerns that there is significant contribution in production of manufacturing industries from dirty industries. The results of the study suggest that while trade liberalization measures have been pursued to promote economic growth in India but they have led to some potentially adverse environmental consequences.

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Sharma, Anand. "Dynamic Externalities and Regional Manufacturing Growth: Evidence from India." Studies in Business and Economics 12, no. 1 (April 1, 2017): 185–201. http://dx.doi.org/10.1515/sbe-2017-0014.

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AbstractUsing Annual Survey of Industries (ASI) dataset for 11 two-digit manufacturing industries and 20 states, this paper tests the relationship between dynamic agglomeration externalities and regional manufacturing growth for India. Three types of dynamic externalities have been proposed in the literature for explaining this relationship – Marshall-Arrow-Romer (MAR) specialization externalities, Jacobs’s diversity externalities, and Porter’s competition externalities. This paper examines the effect of these dynamic externalities on regional manufacturing employment and total factor productivity (TFP) growth for selected Indian industries between 2001-02 and 2011-12. The panel data model results show that dynamic externalities are important in influencing employment growth but they do not seem to have an impact on the growth of manufacturing productivity. Further, the results show that specialization externalities positively affect the employment growth of capital-intensive industries whereas diversity externalities favourably affect the employment growth in labour-intensive industries. Our results suggest that the importance of dynamic externalities should not be examined by pooling all industries. The results also highlight the importance of infrastructural investments for boosting the growth of manufacturing employment and productivity.

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Chen, Ziwei, Beini He, and Xidong Wang. "Advanced Utilization Technologies of Secondary Energy and Resources from Energy-Intensive Industries." Energies 16, no. 7 (March 26, 2023): 3028. http://dx.doi.org/10.3390/en16073028.

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Tasrip, N. E., N. Mat Husin, and B. Alrazi. "Energy Reporting Practices among Top Energy Intensive Industries in Malaysia." IOP Conference Series: Earth and Environmental Science 32 (March 2016): 012050. http://dx.doi.org/10.1088/1755-1315/32/1/012050.

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Lin, Boqiang, and Ruipeng Tan. "Ecological total-factor energy efficiency of China’s energy intensive industries." Ecological Indicators 70 (November 2016): 480–97. http://dx.doi.org/10.1016/j.ecolind.2016.06.026.

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Zha, Donglan, Anil Savio Kavuri, and Songjian Si. "Energy biased technology change: Focused on Chinese energy-intensive industries." Applied Energy 190 (March 2017): 1081–89. http://dx.doi.org/10.1016/j.apenergy.2016.11.001.

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Yuan, Qian, Lihua Wu, and Ping Zhang. "Study on energy productivity of patent-intensive industries." IOP Conference Series: Earth and Environmental Science 474 (May 15, 2020): 052001. http://dx.doi.org/10.1088/1755-1315/474/5/052001.

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Locmelis, Kristaps, Uldis Bariss, and Dagnija Blumberga. "Energy Efficiency Obligations and Subsidies to Energy Intensive Industries in Latvia." Environmental and Climate Technologies 23, no. 2 (November 1, 2019): 90–101. http://dx.doi.org/10.2478/rtuect-2019-0057.

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Abstract The European Union’s climate and energy policy for 2030 sets ambitious targets and will challenge current energy use patterns. At the same time, policy objectives are to maintain energy affordable for business and consumers, which means that energy and climate goals should be achieved in the most cost-effective way. There is a well-known energy efficiency gap between effectively implemented energy efficiency measures and potentially economically viable ones. The authors have made a statistical analysis of the energy costs intensity of manufacturing industries in Latvia compared to other Baltic Sea countries and have consented that the three most energy consuming manufacturing industries in Latvia show a higher share of energy costs in total production costs than in their peers over a long period of time, indicating the clearly visible possibilities for energy efficiency improvements. At the same time, Latvian energy policy provides subsidies for energy-intensive manufacturing consumers by reimbursing part of their actual electricity costs. The paper analyses the amounts of reimbursements and their breakdown by manufacturing industries, identifying the most important beneficiaries of subsidies. The authors argue that beneficiaries should direct these subsidies to further energy efficiency improvements.

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Ma, Shuaiyin, Yingfeng Zhang, Jingxiang Lv, Haidong Yang, and Jianzhong Wu. "Energy-cyber-physical system enabled management for energy-intensive manufacturing industries." Journal of Cleaner Production 226 (July 2019): 892–903. http://dx.doi.org/10.1016/j.jclepro.2019.04.134.

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Ji, Yanli, Jie Xue, and Zitian Fu. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces." Sustainability 14, no. 12 (June 8, 2022): 7009. http://dx.doi.org/10.3390/su14127009.

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At present, there is much literature on economic growth and energy consumption, but there is little literature combined with the industry perspective. This paper aims to clarify whether the development of energy-intensive industries is an indirect way for economic growth to affect energy consumption, which can provide a reference for the coordination of economic growth goals, industry development and reducing energy consumption. Based on China’s provincial panel data from 2000 to 2019, this paper measures the scale of provincial energy-intensive industries by entropy method and uses the panel regression model to test its transmission effect on energy consumption. The results show that 23.96% of the effects of economic growth on energy consumption are indirectly generated through the transmission of energy-intensive industries. Moreover, the transmission effects are only established in the eastern and western regions but are not significant in the central region. Therefore, controlling the rapid development of energy-intensive industries is an effective way to curb the expansion of China’s energy consumption scale. Green technology innovation, new-type urbanization construction and other supportive measures should be taken in accordance with local conditions. This research contributes to the coordinated and sustainable development of the economy, industry, and energy.

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Kim, Jee-Young, and Hyungna Oh. "Decarbonizing Energy-Intensive Industries and Carbon Contract for Differences." Journal of Korean Economics Studies 40, no. 3 (September 30, 2022): 5–25. http://dx.doi.org/10.46665/jkes.2022.9.40.3.5.

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Zheng, Jiliang, and Xiaoting Peng. "Does an Ecological Industry Chain Improve the Eco-Efficiency of an Industrial Cluster? Based on Empirical Study of an Energy-Intensive Industrial Cluster in China." Sustainability 11, no. 6 (March 19, 2019): 1651. http://dx.doi.org/10.3390/su11061651.

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An energy-intensive industrial cluster is a combination and integration of energy-intensive industries formed by ecological industry chains. Eco-efficiency may reflect the effect of ecological industry chains in an energy-intensive industrial cluster. To evaluate the eco-efficiency of energy-intensive industries, industry chains, and industrial clusters with different level of eco-industry chains, the eco-efficiency is decomposed into two dimensions of resource efficiency and environment efficiency. The eco-efficiency evaluation index system and models of energy-intensive industries are constructed to analyze the eco-efficiency using a two-dimensional three-layer matrix framework, including energy-intensive industries, ecological industry chains, and industrial clusters. This paper presents an empirical and comparative analysis based on data from the chemical industry, building materials industry, metallurgy industry, and thermal power industry from 2004 to 2015. The results show that the eco-efficiency of energy-intensive industry, energy-intensive industry chains, and energy-intensive industrial clusters are all on the rise. The eco-efficiency of energy-intensive industrial clusters and energy-intensive industry chains are obviously higher than that of any single energy-intensive industry. This finding indicates that the ecological industry chains of an energy-intensive industrial cluster have improved the eco-efficiency. In recent years, the effect of ecological industry chains and network construction has been significant, but not tight enough.

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Al-Ayouty, Iman, and Hoda Hassaballa. "Towards Sustainable Development: Measuring Environmental Total Factor Productivity in Egypt." European Journal of Sustainable Development 9, no. 2 (June 1, 2020): 55. http://dx.doi.org/10.14207/ejsd.2020.v9n2p55.

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Egypt’s heavy reliance on energy- and capital-intensive industries currently hinders its drive towards achieving sustainable development goals. This paper studies environmental total factor productivity (ETFP) for ten energy-intensive industries using the Malmquist index and data envelopment analysis (DEA) for the period 2002-2014. Through incorporating CO2 emissions by energy intensive industries, DEA helps identify both environmentally-efficient and inefficient industries. Findings indicate that: i) ETFP has remained almost unchanged for the 10 industries, with ‘technical progress’ improvement almost fully outweighed by an efficiency deterioration, ii) excluding the environmental component indeed yields overestimated total factor productivity (TFP). In its estimation of ETFP, the paper adds to exiting empirical literature since no similar estimation has been done for Egypt. Results may be relevant to other countries with similar industrial structures. Policy implications include the reliance on renewable sources of energy, bearing directly on the achievement of the seventh, ninth and twelfth SDG goals. Keywords: environmental total factor productivity; energy intensive industries; data envelopment analysis; Egypt

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Susanto, Bambang, and Sukadwilinda. "ANALYSIS OF EXPORT COMPETITIVENESS TEXTILE AND APPAREL INDONESIA, CHINA, INDIA." Dinasti International Journal of Economics, Finance & Accounting 1, no. 1 (March 26, 2020): 64–70. http://dx.doi.org/10.38035/dijefa.v1i1.207.

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The textile and apparel industries are labor-intensive and capital-intensive industries. The focus of this research looks at the competitiveness of textiles and apparel in Indonesia, China and India. The research method used is comparative descriptive, with the Herfindahl approach, Trade Specialization, Relevealed Comparative Adventage and Constan Market Share. Herfindahl calculation shows the market structure in Indonesia, China and India in the form of perfect competition. While the Trade Specialization approach, Indian exports are more stable than Indonesia and China. The TSR approach generally shows Export Promotion. The Revealed Comparative Adventage approach, Indonesia and India show stable and stagnant results, the RCA scale shows that China has a comparative advantage and strong competitiveness. Conclusion of the research, the market structure takes the form of a perfect competition and Export Promotion. China Has comparative advantages and strong competitiveness, followed by Indonesia and India.

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Al-Ayouty, Iman. "The Effect of Energy Consumption on Output: A Panel Data Study of Manufacturing Industries in Egypt." European Journal of Sustainable Development 9, no. 3 (October 1, 2020): 490. http://dx.doi.org/10.14207/ejsd.2020.v9n3p490.

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Subsidizing electricity and non-electrical energy products has affected manufacturing output in Egypt, especially given the structure of Egypt’s manufacturing sector which leaning heavily towards capital- and energy-intensive products. This effect is captured in a production function estimated for the twenty industries making up Egypt’s manufacturing sector over the period 2002-2016. With homogeneous parameters, the estimated output elasticity of energy is 0.28. With panel member parameter heterogeneity, the output elasticity of energy is positive and statistically significant in ten manufacturing industries. Negative and statistically significant elasticity is however found in refined petroleum products, fabricated metal products, and electrical machinery and equipment. This indicates suboptimal energy use. Elasticity is also negative, though statistically insignificant, in: textiles, basic metals, and “other manufacturing”. Except for “other manufacturing”, industries of negative elasticity are all energy-intensive. Moreover, refined petroleum, fabricated metals and basic metals are pollution-intensive. A priority policy measure is to remove subsidies from energy inefficient and polluting industries as opposed to mere ‘across-the-board’ removal. Keywords: energy consumption; manufacturing industries; energy- and pollution intensive; Egypt

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Sucic, Boris, Fouad Al-Mansour, Matevz Pusnik, and Tomaz Vuk. "Context sensitive production planning and energy management approach in energy intensive industries." Energy 108 (August 2016): 63–73. http://dx.doi.org/10.1016/j.energy.2015.10.129.

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Ates, Seyithan Ahmet, and Numan M. Durakbasa. "Evaluation of corporate energy management practices of energy intensive industries in Turkey." Energy 45, no. 1 (September 2012): 81–91. http://dx.doi.org/10.1016/j.energy.2012.03.032.

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Lin, Boqiang, and Ruipeng Tan. "Estimating energy conservation potential in China’s energy intensive industries with rebound effect." Journal of Cleaner Production 156 (July 2017): 899–910. http://dx.doi.org/10.1016/j.jclepro.2017.04.100.

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Branca, Teresa Annunziata, Barbara Fornai, Valentina Colla, Maria Ilaria Pistelli, Eros Luciano Faraci, Filippo Cirilli, and Antonius Johannes Schröder. "Skills Demand in Energy Intensive Industries Targeting Industrial Symbiosis and Energy Efficiency." Sustainability 14, no. 23 (November 24, 2022): 15615. http://dx.doi.org/10.3390/su142315615.

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Technological development, closely related to the implementation of industrial symbiosis and energy efficiency, affects all areas of energy intensive industries, and involves the whole industrial workforce. This paper deals with a part of the work developed in the early stage of a current Erasmus+ project, which aims at developing an industry-driven and proactive skills strategy to assist the implementation and exploitation of industrial symbiosis and energy efficiency across the energy intensive sectors. The paper presents the current state of workforce in the context of industrial symbiosis and energy efficiency implementations. The most recent literature on the effects of new skills requirement and training needs for the European process industry workforce is analyzed and discussed. In addition, implementation advantages and barriers as well as possible solutions to satisfy ongoing and future skill demands are considered. Through skill integrations and workforce attraction and training, new skills, and greater abilities for working across sector boundaries can be achieved. In addition, policies on green economy and on skills development can enable anticipating labor market changes, by identifying skill requirement impacts. This can be achieved by introducing new training programs, revising existing ones and by monitoring the impact of trainings on the labor market.

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Journal articles on the topic 'Energy intensive industries- India'

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