Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector

This study develops and examines physical energy intensity indicators in five industrial sub-sectors—iron and steel, aluminum, textiles, paper, and cement—and investigates mitigation options for energy related CO₂ emissions (during 1991–2005). Decomposition analysis has been employed to separate the structural effect (share of different products in the sector) from pure intensity effect (efficiency increase through technical improvement) for each industry. The results show that the combined effect (considering both structural and intensity effects together) on both iron and steel and paper and pulp industries is negative while it is positive for aluminum and textiles. The intensity effect for all the industries, barring textiles, is negative showing improvement in energy efficiency; iron and steel in particular, has seen a decrease of 134 PJ in energy consumption owing to improvements in efficiency. However, energy intensity in textiles has risen by 47 PJ due to increased mechanization. Structural effect is positive in aluminum and iron and steel industries indicating a movement towards higher energy-intensive products. In the case of aluminum, positive structural effect dominates over negative intensive effect whereas negative intensive effect dominates iron and steel industry. The paper helps in designing policies for improving productivity and reduce energy consumption in India's manufacturing sector.     

The manufacturing base under energy price uncertainty

This paper provides empirical and methodological analysis under a very important source of uncertainty: energy price uncertainty. In so doing, we show the impact of the energy price instability on the U.S. manufacturing output and the manufacturing sector's demand for energy. In addition, our method enables us to easily derive empirical comparative statistics results that can be compared to the theoretical results.     

The energy demand in the manufacturing sector of Pakistan: some further results

The purpose of this study was to re-examine the role of energy in the manufacturing sector of Pakistan using a Partial Equilibrium Approach. GL restricted cost function along with the factor demand equations were estimated using Zellner’s iterative procedure. Higher energy prices do not seem to adversely affect investment in capital. Substitution possibilities between energy and non-energy inputs are very limited and therefore energy price hikes may directly affect the cost of production. Inter-fuel cross price elasticities indicate that there are substitution possibilities between electricity and gas.     

Sectoral energy demand in Canadian manufacturing industries

Several studies have been undertaken which analyse the price elasticities of demand for energy in the aggregate manufacturing sectors of different countries. This paper investigates the impact of changing energy prices on factor demands in each of the many subsectors of manufacturing in Canada. Translog cost functions are estimated and the energy price elasticities of demand are derived. These elasticities enable us to pinpoint those sectors that will have the most difficulty in adapting to high energy prices.     

The impacts of energy prices on energy intensity: Evidence from China

In this paper, we present a review of the deregulation of energy prices in China between 1985 and 2004 and assess the impacts of changes in energy prices on aggregate energy intensity and coal/oil/electricity intensity. We used time series data to provide estimates of energy price elasticities. Empirical results showed that: (1) The own-price elasticities of coal, oil, and aggregate energy were negative in periods both before and after 1995, implying that higher relative prices of different energy types lead to the decrease in coal, oil, and aggregate energy intensities. However, the positive own-price elasticity of electricity after 1995 probably indicates that the price effect was weaker than other factors such as income effect and population effect. (2) The impacts of energy prices were asymmetric over time. (3) Sectoral adjustment also drove the decrease in aggregate energy intensity. Although raising energy prices to boost efficiency of energy use seems to be an effective policy tool, other policy implications concerned with energy prices, such as energy supply security and fuel poverty, must also be considered.     

The non-energy intensive manufacturing sector.: An energy analysis relating to the Netherlands

This paper focuses on an area that has been neglected in energy analysis: the non-energy intensive industries. Using data at the 3-digit level for the Dutch manufacturing industry, we analyzed the performance of the sector with respect to its energy intensity, value added, value of production and energy costs. We found that energy consumption has increased by 30% between 1988 and 1999 while there has not been a decrease on energy intensity. A decomposition analysis was performed in order to separate structural, production and intensity effects. We found that structural changes played a minor role and that in fact, intensity effects added further energy requirements to those induced by output growth. The results of our study highlight the need for policy-makers and scientists to increase their attention to the non-energy intensive sector and encourage industries in these sectors to adopt energy-efficient technologies and management practices.     

Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations

The aim of this paper is to analyse the profitability of energy-efficient retrofit investments in the Swiss residential building sector from the house owner's perspective. Different energy price expectations, policy instruments such as subsidies, income tax deduction and a carbon tax, as well as potential future cost degression of energy efficiency measures were taken into account. The discounted cash flow method was used for the investment analysis of different retrofit packages applied to a model building scheduled for renovation, i.e. a single-family house constructed between 1948 and 1975. The results show that present Swiss policy instruments push investments for energy-efficient retrofitting to profitability. Cost degression has a minor significance for investment profitability. However, the most relevant factor for the investment analysis is the expected energy price. Expecting a future fuel oil price at the level of 2005, efficiency investments are close to profitability even without policy support. If higher energy prices were expected, energy-efficient retrofitting would be an attractive investment opportunity.     

The effects of home energy efficiency upgrades on social housing tenants: evidence from Ireland

This research examines some of the multiple benefits of a home energy efficiency upgrade programme for social housing tenants. Employing a quasi-experimental approach, we examine a range of objectively measured and self-reported outcomes, including metered gas consumption, for a control and upgrade group, before and after the upgrade. We drew our sample from a large home energy efficiency programme in Ireland, The SEAI Better Energy Communities Scheme, which provides funding for whole communities to upgrade the efficiency of their dwellings. Dwellings were selected for upgrade based on need, allowing us to control for observable dwelling characteristics correlated with selection into the trial. The upgrades undertaken were extensive relative to the average home energy improvement, with many dwellings receiving a number of measures. Households reported improvements across a range of outcomes associated with heating-related deprivation and comfort in the home. We use panel regression models to estimate the elasticity of gas demand with respect to the thermal efficiency of the dwellings. Overall, we find that use of natural gas fell much less than 1:1 for each increment to thermal efficiency of the home. For the average household in this study, about one third of the marginal increase in thermal efficiency was reflected in reduced gas demand. This result highlights issues with standard engineering models which are commonly used to assess the energy efficiency of dwellings and points to a behavioural response from households, potentially taking back some of the savings as increased internal temperatures.     

Some evidence concerning energy use in manufacturing

The dramatic increase in energy efficiency in the U.S. economy since the early 1970s has been the subject of much study and controversy. Among the factors responsible for improved energy efficiency are better housekeeping measures, technological innovations and a changing product mix. These factors are discussed for the manufacturing sector using published input-output data for the years 1963, 1967 and 1972, and data from the Annual Survey of Manufactures for the years 1975 and 1979. Data for the years 1972, 1975 and 1979 are the most revealing in terms of improved energy efficiency. For the purpose of this analysis, a real IO coefficient was calculated by dividing deflated energy input costs by the deflated value of sector output.     

Drivers for energy efficiency and their effect on barriers: empirical evidence from Italian manufacturing enterprises

Industrial activities are responsible for a significant share of both global delivered energy demand and CO₂ emissions. Hence, a widespread adoption of energy-efficient technologies and practices represents a crucial means for sustainable production. Adopting a novel framework of drivers for energy efficiency describing the effect of drivers on barriers in the decision-making process steps and able to account for the nature of drivers and the stakeholders responsible for their promotion, we have performed an exploratory investigation into 61 manufacturing small- and medium-sized enterprises in Northern Italy. Our findings have highlighted the importance of information and economic drivers, showing the need for enterprises to be supported not only by public institutions but also by external stakeholders involved in the supply of energy-efficient technologies and practices such as industrial associations and groupings, as well as service and technology suppliers. Moreover, our study has highlighted an almost equal relevance of both internal and external drivers. According to our findings, the increase of awareness—generating the interest to energy issues and stimulated both by external and internal stakeholders—as well as financial issues have emerged as the most critical in the decision-making process to adopt an energy-efficient measure. A preliminary comprehension of the mechanisms relating drivers to barriers in the decision-making process brought additional value to the study, highlighting the most effective and specific means to overcome the existing barriers. We have also explored the effect of several firm characteristics, such as firm size and energy intensity offering suggestions for industrial decision-makers as well as policy-makers.     

Energy price uncertainty, energy intensity and firm investment

This paper examines the effect of energy price uncertainty on firm-level investment. An error correction model of capital stock adjustment is estimated with data on U.S. manufacturing firms. Higher energy price uncertainty is found to make firms more cautious by reducing the responsiveness of investment to sales growth. The result is robust to consideration of energy intensity by industry. The effect is greater for high growth firms. It must be emphasized that the direct effect of uncertainty is not estimated. Conditional variance of energy price is obtained from a GARCH model. Findings suggest that stability in energy prices would be conducive to greater stability in firm-level investment.     

Transient and persistent energy efficiency in the US residential sector: evidence from household-level data

In this paper, we measure the energy efficiency implicit in residential energy consumption using a panel dataset comprised of 40,246 observations from US households observed over 1997–2009. We fit a stochastic frontier model of the minimum input of energy needed to meet the level of energy services demanded by the household. This benchmarking exercise produces a transient and a persistent efficiency index for each household and each time period. We estimate that the US residential sector could save approximately 10% of its total energy consumption if it reduced persistent inefficiencies and 17% if it were possible to eliminate transient inefficiencies. These figures are in line with recent economy-wide assessments for the USA. Our results suggest that savings in energy use and associated emissions of greenhouse gases may benefit from both policy measures that attain short-run behavioral changes (e.g., nudges, social norms, display of real-time information about usage, and real-time pricing) as well measures aimed at the long run, such as energy-efficiency regulations, incentives on the purchase of high-efficiency equipment, and incentives towards a change of habits in the use of the equipment.     

The impact of energy prices on energy consumption and energy efficiency: evidence from Taiwan

This study aims to explore the impact of energy prices on energy consumption and energy efficiency using industry data for Taiwan over the period of 1982–2011. A frontier-based framework is proposed with a microeconomic foundation to measure energy efficiency and decompose energy consumption into energy utilization and energy wastage in the short and the long run. We learn that the traditional energy efficiency indicators are essentially ambiguous measures. In contrast, the frontier-based framework can focus the measure on energy relatively specifically and capture the essence of a proper efficiency measure more precisely. The empirical analyses reveal that the values of short- and long-run energy efficiency in the Taiwan manufacturing sector are on average 0.6016 and 0.8040, respectively. Moreover, energy utilization is price inelastic in the short run, but in the long run, it is elastic at ?0.79. The energy price elasticity of energy wastage in the short run is ?0.61, which is somewhat higher than the ?0.52 in the long run. The energy price elasticity of energy efficiency in the short run is 0.077 and that in the long run is 0.144. All the energy price elasticities obtained using the frontier-based framework are lower than those obtained using the common framework of the past without distinguishing the heteroscedasticity between the energy utilization and energy wastage.     

The potential for energy efficiency gains in the Canadian commercial building sector: A stochastic frontier study

The achievement of energy efficiency in commercial buildings is a function of the activities undertaken, the technology in place, and the extent to which those technologies are used efficiently. We study the factors that affect efficient energy use in the Canadian commercial sector by applying a stochastic frontier approach to a cross-section of Canadian commercial buildings included in the Commercial and Institutional Building Energy Use Survey (CIBEUS). Structural and climate-control features of the buildings as well as climatic conditions are assumed to determine the location of the frontier, while management-related variables including such factors as ownership type and activities govern whether or not the maximally attainable efficiency along the frontier is achieved. Our results indicate that although, on average, buildings appear to be fairly efficient, certain types of operations are more likely than others to exhibit energy efficiencies that are significantly worse than average. These results, along with those related to the effects of physical characteristics on the stochastic efficiency frontier, suggest that there is scope for focused policy initiatives to increase energy efficiency in this sector.     

The contribution degree of sub-sectors to structure effect and intensity effects on industry energy intensity in China from 1993 to 2003

This paper chooses the 36 industry sub-sectors as samplings, based on the data sets of added value and end-use energy consumption from 1993 to 2003 of China. By implying the improved index decomposition methods, ADMI and LMDI, the models are formulated. The results obtained show that structure effect which was less than intensity effect decreased year by year before 1998 and turned into steady from 1999. The intensity effect descended during the whole sampling periods. The biggest contributions on average structure effect and intensity effect were from sub-sectors of electric equipment and machines and raw chemical materials and chemical products, and the smallest contributions were from industries of production and supply of gas and petroleum processing and coking. The paper provides the foundation for policy making on improvement of industry energy efficiency.     

The impact of disaggregated energy on productivity : A study of the US manufacturing sector, 1958–1985

The issue of the productivity slowdown of the 1970s and 1980s has received considerable analysis in the literature. However, the issue of the impact of energy on productivity is still debated. This study contributes to the debate, with the hope that some sight could be provided through disaggregating the factor input energy into two components; a petroleum component and a non-petroleum component. By analysing labour productivity growth, total factor productivity growth and labour intensity ratios, the disaggregated energy component can be viewed as a major influence in explaining the productivity decline.     

Fuel price determination in transportation sector using predicted energy and transport demand

This study determines fuel price based on estimated sectoral energy and transport demand using pumping prices. Three approaches are first used for estimating energy and transportation demand based on linear time series, polynomial time series and genetic algorithm based (GATEDE and GATDETR), as multi-parameter, models. Then, future fuel prices and marginal costs of the energy consumption are obtained. Transport demand-based energy efficiency methods are also developed. The fuel prices (FP) are analyzed under two scenarios: Linear and exponential price scenarios. Results showed that if the FP increases linearly, the marginal cost will slightly decreases from current trend, but will increases if demand increases exponentially. Results also showed that the demand-based pricing policy would help to develop a new pricing policy for fuel use in order to control fast growing demand on this sector. The exponential price increase would also help to locate financial sources to create environmentally friendly transportation systems.     

The relationship between energy and production: Evidence from Turkish manufacturing industry

This paper investigates the relationship between energy and production at the industry level in an emerging market, Turkey, in a multivariate framework. The electricity consumption and value added relation is examined in the Turkish manufacturing industry, while also accounting for labor and fixed investment. We find that labor, fixed investment, electricity consumption, and value added are related via three cointegrating vectors. The VEC results indicate uni-directional causality running from electricity consumption to value added. Generalized impulse response and variance decomposition analyses confirm these results. Thus, energy input appears to be closely related to production. Hence, energy saving technologies and increased energy efficiency may increase the growth in manufacturing value added.     

Factors affecting the adoption of energy efficiency in the manufacturing sector of developing countries

This paper analyzes the drivers for and barriers to the adoption of energy efficient technologies among a sample of firms based in Viet Nam, the Philippines, and Moldova. The current debate on the fight against climate change emphasizes the need to adopt environmentally friendly measures at the global level. We therefore need to better understand the obstacles to the adoption of energy saving measures, especially in developing countries. By applying discrete choice modeling techniques, we find that firms’ internal management and organizational factors rather than top-down or other external market conditions increase firms’ likelihood to invest in energy efficient technologies. Moreover, experience in the adoption of energy efficient technologies and the commitment of top management are also crucial in this regard.