Double dividend effectiveness of energy tax policies and the elasticity of substitution: A CGE appraisal

There is a considerable body of literature that has studied whether or not an adequately designed tax swap, whereby an ecotax is levied and some other tax is reduced while keeping government income constant, may achieve a so-called double dividend, that is, an increase in environmental quality and an increase in overall efficiency. Arguments in favor and against are abundant. Our position is that the issue should be empirically studied starting from an actual, non-optimal tax system structure and by way of checking the responsiveness of equilibria to revenue neutral tax regimes under alternate scenarios regarding technological substitution. With the use of a CGE model, we find that the most critical elasticity for achieving a double dividend is the substitution elasticity between labor and capital whereas the elasticity that would generate the highest reduction in carbon dioxide emissions is the substitution elasticity among energy goods.     

The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea

The government of South Korea considers an energy efficiency improvement policy an effective economic measure for climate change like many other governments. But it is unaware of any ‘rebound effect’, the unexpected result of energy efficiency improvement. So the rebound effect of residential electricity use in South Korea was estimated using two different scales in this paper. At the macro level, the rebound effect was estimated indirectly by using price elasticity, and at the micro level, the rebound effect of individual home appliances was estimated directly by using a non-linear relationship between energy efficiency and energy use. At the macro level, the long- and short-term results of rebound effect were estimated at 30% and 38%, respectively. Also at the micro level, the rebound effect of air conditioners was 57–70%; while refrigerators showed only a composite of rebound and income effects. Finally, there was no backfire effect, and efficiency improvement brought energy reduction. In conclusion, these suggest that rebound effect is an important factor that the government of South Korea must consider when planning its energy efficiency improvement policy.     

Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia,USA

Rebound effect is defined as the lost part of ceteris paribus energy savings from improvements on energy efficiency. In this paper, we investigate economy-wide energy rebound effects by developing a computable general equilibrium (CGE) model for Georgia, USA. The model adopts a highly disaggregated sector profile and highlights the substitution possibilities between different energy sources in the production structure. These two features allow us to better characterize the change in energy use in face of an efficiency shock, and to explore in detail how a sector-level shock propagates throughout the economic structure to generate aggregate impacts. We find that with economy-wide energy efficiency improvement on the production side, economy-wide rebound is moderate. Energy price levels fall very slightly, yet sectors respond to these changing prices quite differently in terms of local production and demand. Energy efficiency improvements in particular sectors (epicenters) induce quite different economy-wide impacts. In general, we expect large rebound if the epicenter sector is an energy production sector, a direct upstream/downstream sector of energy production sectors, a transportation sector or a sector with high production elasticity. Our analysis offers valuable insights for policy makers aiming to achieve energy conservation through increasing energy efficiency.     

An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand

The rebound effect, or the response to energy efficiency improvement, has drawn considerable attention from economists and policymakers. However, the magnitude remains quite controversial because of the differences in the definitions and methods being used. Originating from the definition of direct rebound effect, we develop an improved approach incorporating energy efficiency. The main advantages of the proposed approach are twofold. First, it enables us to estimate the demand elasticity of useful energy service with respect to energy service price. The estimates are more consistent with the definition of rebound effect and are more effective. Second, it decomposes direct rebound effect into substitution and output channels, enabling us to further understand the microeconomic mechanisms. Applying this method, we assess the direct energy rebound effect in China's industrial sectors. We find that the direct rebound effect for the industry is 37.0%, and the substitution and output channels contribute to 13.1% and 23.9%, respectively. Substantial variations in the magnitudes and mechanisms occur by sector. For heavy industry, most energy rebound is induced by output expansion because of its sizeable cost decrease from efficiency improvements. Unlike heavy industry, most energy rebound in light industry comes from substituting energy service for other inputs because firms in light industry are more flexible in adjusting production inputs. Our results provide evidences for the importance of energy efficiency measures, and highlight the necessity of differentiated measures according to the sectoral characteristics.     

The effect of energy end-use efficiency improvement on China’s energy use and CO2 emissions: a CGE model-based analysis

With its rapid economic growth, China is now confronted with soaring pressure from both its energy supply and the environment. To deal with this conflict, energy end-use efficiency improvement is now promoted by the government as an emphasis for future energy saving. This study explores the general equilibrium effect of energy end-use efficiency improvement on China’s economy, energy use, and CO₂ emissions. This paper develops a static, multisector computable general equilibrium model (CGE) for China, with specific detail in energy use and with the embodiment of energy efficiency. In order to explore the ability of subsidizing non-fossil-generated electricity on moderating potential rebound effects, in this model, the electricity sector was deconstructed into five specific generation activities using bottom–up data from the Chinese electricity industry. The model is calibrated into a 16-sector Chinese Social Accounting Matrix for the year 2002. In the analysis, seven scenarios were established: business as usual, solely efficiency improvement, and five policy scenarios (taxing carbon, subsidized hydropower, subsidized nuclear power, combination of taxing carbon and subsidized hydropower, combination of taxing carbon and subsidized nuclear power). Results show that a sectoral-uniform improvement of energy end-use efficiency will increase rather than decrease the total energy consumption and CO₂ emissions. The sensitivity analysis of sectoral efficiency improvement shows that efficiency improvements happened in different sectors may have obvious different extents of rebound. The three sectors, whose efficient improvements do not drive-up total national energy use and CO₂ emissions, include Iron and Steel, Building Materials, and Construction. Thus, the improvement of energy end-use efficiency should be sectoral specific. When differentiating the sectoral energy-saving goal, not only the saving potential of each sector but also its potential to ease the total rebound should be taken into account. Moreover, since the potential efficiency improvement for a sector over a certain period will be limited, technology measures should work along with a specific policy to neutralize the rebound effect. Results of policy analysis show that one relatively enhanced way is to combine carbon taxing with subsidized hydropower.     

Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China

This paper explores the rebound effect of different energy types in China based on a static computable general equilibrium model. A one-off 5% energy efficiency improvement is imposed on five different types of energy, respectively, in all the 135 production sectors in China. The rebound effect is measured both on the production level and on the economy-wide level for each type of energy. The results show that improving energy efficiency of using electricity has the largest positive impact on GDP among the five energy types. Inter-fuel substitutability does not affect the macroeconomic results significantly, but long-run impact is usually greater than the short-run impact. For the exports-oriented sectors, those that are capital-intensive get big negative shock in the short run while those that are labour-intensive get hurt in the long run. There is no “backfire” effect; however, improving efficiency of using electricity can cause negative rebound, which implies that improving the energy efficiency of using electricity might be a good policy choice under China's current energy structure. In general, macro-level rebound is larger than production-level rebound. Primary energy goods show larger rebound effect than secondary energy goods. In addition, the paper points out that the policy makers in China should look at the rebound effect in the long term rather than in the short term. The energy efficiency policy would be a good and effective policy choice for energy conservation in China when it still has small inter-fuel substitution.     

Energy-related emissions and mitigation opportunities from the household sector in Delhi

Urban centers are the major consumers of energy, which is a major source of air pollution. Therefore, an insight into energy consumption and quantification of emissions from urban areas are extremely important for identifying impacts and finding solution to air pollution in urban centers. This paper applies the Long-range Energy Alternatives Planning (LEAP) system for modeling the total energy consumption and associated emissions from the household sector of Delhi. Energy consumption under different sets of policy and technology options are analyzed for a time span of 2001–2021 and emissions of carbon dioxide (CO₂), carbon monoxide (CO), methane (CH₄), non-methane volatile organic compounds (NMVOCs), nitrogen oxides (NO_x), nitrous oxide (N₂O), total suspended particulates (TSP) and sulfur dioxide (SO₂) are estimated. Different scenarios are generated to examine the level of pollution reduction achievable by application of various options. The business as usual (BAU) scenario is developed considering the time series trends of energy use in Delhi households. The fuel substitution (FS) scenario analyzes policies having potential to impact fuel switching and their implications towards reducing emissions. The energy conservation (EC) scenario focuses on efficiency improvement technologies and policies for energy-intensity reduction. An integrated (INT) scenario is also generated to assess the cumulative impact of the two alternate scenarios on energy consumption and direct emissions from household sectors of Delhi. Maximum reduction in energy consumption in households of Delhi is observed in the EC scenario, whereas, the FS scenario seems to be a viable option if the emission loadings are to be reduced.     

Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China

Since China accelerated its market oriented economic reforms at the end of 1992, its energy intensity has declined 3.6% annually over 1993–2005. However, its energy intensity declined 4.2% annually during its first reform period 1979–1992. Therefore, can we conclude that the accelerated marketization since the end of 1992 has made no contribution to its energy efficiency improvement? In order to answer this challenging question, we examine the changes of energy own-price elasticity, as well as the elasticities of substitution between energy and non-energy (capital and labor) in China during the periods of 1979–1992 and 1993–2003. Generally, in transition or developing economies, holding the technology and output level fixed, if the energy own-price elasticity (algebraic value) declines or the substitution elasticity between factors rises, they will contribute to energy efficiency improvement. Our empirical study finds that: (1) during 1979–1992, the energy own-price elasticity is positive (0.285), and capital-energy, labor-energy are both Morishima complementary; which indicates a distorted energy price and inefficient allocation; and (2) during 1993–2003, the own-price elasticity for energy is negative (−1.236), and capital-energy and labor-energy are both Morishima substitute. All factor demands become more elastic, and all elasticities of substitution increase. The implication is that the accelerated marketization contributes substantially to energy efficiency improvement since 1993.     

How organizational and global factors condition the effects of energy efficiency on CO2 emission rebounds among the world's power plants

The United Nations Intergovernmental Panel on Climate Change (IPCC), the International Energy Agency (IEA), and several nations suggest that energy efficiency is an effective strategy for reducing energy consumption and associated greenhouse gas emissions. Skeptics contend that because efficiency lowers the price of energy and energy services, it may actually increase demand for them, causing total emissions to rise. While both sides of this debate have researched the magnitude of these so-called rebound effects among end-use consumers, researchers have paid less attention to the conditions under which direct rebounds cause CO₂ emissions to rise among industrial producers. In particular, researchers have yet to explore how organizational and global factors might condition the effects of efficiency on emissions among power plants, the world's most concentrated sources of anthropogenic greenhouse gases. Here we use a unique dataset containing nearly every fossil-fuel power plant in the world to determine whether the impact of efficiency on emissions varies by plants' age, size, and location in global economic and normative systems. Findings reveal that each of these factors has a significant interaction with efficiency and thus shapes environmentally destructive rebound effects.     

Substitution between energy and classical factor inputs in the Chinese steel sector

China’s steel sector is the largest in the world and has been a major driving force behind China’s high rate of economic growth. This sector, however, is also a major consumer of energy and, in particular, coal. As a result, the iron and steel sector in China is a major contributor to greenhouse gas emissions and other pollutants. In this article we examine the potential for inter-factor substitution between capital, energy and labor in the Chinese steel sector and find that capital and energy and energy and labor are substitutes. This result suggests that removal of price ceilings on energy would tend to reduce energy use and increase capital intensiveness. While the potential for substitution between energy and labor is less than that between energy and capital, the elasticity of substitution between energy and labor is high compared with previous findings for other countries. This fact suggests that there may be potential for substituting labor for energy, given China’s abundance of labor.     

Impact of inter-fuel substitution on energy intensity in Ghana

Energy intensity and elasticity, together with inter-fuel substitution are key issues in the current development stage of Ghana. Translog production and ridge regression are applied for studying these issues with a data range of 2000–2015. The current energy dynamics reveal the expected inverse relationship: higher energy intensity and lower elasticity with economic growth. There are evidences of energy-economic challenges: high energy cost, inefficiency and backfire rebound effect. The implications are higher energy losses in the system, more consumption of lower-quality energy together with low energy technology innovation. Energy is wasted and directly not productive with economic activities. It is observed further that the higher energy intensity invariably increases CO₂ emission because approximately 95% of total energy is derived from hydrocarbons and biomass. An inter-fuel substitution future scenario design was further conducted and the results were positive with growth, lower energy intensity, and improved energy efficiency. Therefore, government and energy policymakers should improve energy efficiency, cost, and productiveness. That is, they should change energy compositions and augment energy technology innovation, thus, increasing renewable share to 15% by 2026, reducing wood and charcoal by about 69%, and increasing natural gas to about 776%. Energy policymakers should enhance the installation of smart energy, cloud energy solution, tokenization of energy system and storage.     

International spillover and rebound effects from increased energy efficiency in Germany

The pollution/energy leakage literature raises the concern that policies implemented in one country, such as a carbon tax or tight energy restrictions, might simply result in the reallocation of energy use to other countries. This paper addresses these concerns in the context of policies to increase energy efficiency, rather than direct action to reduce energy use. Using a global CGE simulation model, we extend the analyses of ‘economy-wide’ rebound from the national focus of previous studies to incorporate international spill-over effects from trade in goods and services. Our focus is to investigate whether these effects have the potential to increase or reduce the overall (global) rebound of local energy efficiency improvements. In the case we consider, increased energy efficiency in German production generates changes in comparative advantage that produce negative leakage effects, thereby actually rendering global rebound less than national rebound.     

CO2, GDP and RET: An aggregate economic equilibrium analysis for Turkey

There is a worldwide interest in renewable electricity technologies (RETs) due to growing concerns about global warming and climate change. As an EU candidate country whose energy demand increases exponentially, Turkey inevitably shares this common interest on RET. This study, using an aggregate economic equilibrium model, explores the economic costs of different policy measures to mitigate CO₂ emissions in Turkey. The model combines energy demands, capital requirements and labor inputs at a constant elasticity of substitution under an economy-wide nested production function. Growing energy demand, triggered by economic growth, is met by increased supply and initiates new capacity additions. Investment into RET is encouraged via the incorporation of (a) endogenous technological learning through which the RET cost declines as a function of cumulative capacity, and (b) a willingness to pay (WTP) function which imposes the WTP of consumers as a lower bound on RET installation. The WTP equation is obtained as a function of consumer income categories, based on data gathered from a pilot survey in which the contingent valuation methodology was employed. The impacts of various emission reduction scenarios on GDP growth and RET diffusion are explored. As expected, RET penetration is accelerated under faster technological learning and higher WTP conditions. It is found that stabilizing CO₂ emissions to year 2005 levels causes economic losses amounting to 17% and 23% of GDP in the years 2020 and 2030, respectively.     

Effects of increased wood energy consumption on global warming potential,primary energy demand and particulate matter emissions on regional level based on the case study area Bavaria (Southeast Germany)

Wood energy use has strongly increased in Europe in the last decade entailing enhanced resource competition between the wood energy sector and the material-based wood sector. We applied the basket of benefit method for the forestry and wood cluster of the study area Bavaria to evaluate the impact of increased wood energy use and decreased material-based wood use on global warming potential, primary energy demand and particulate matter emissions. A baseline and a wood energy scenario were developed until 2035 and wood utilization in both scenarios was assessed via a Life Cycle Assessment of prevalent wood products, imported timber and conventional alternatives of use. The study reveals that, according to the modelled scenarios and the average substitution factors used, a demand shift towards more wood energy leads to a minor increase in global warming potential and to a reduction in primary energy demand. Increase in particulate matter emissions from wood energy use is strong, but definite conclusions cannot be drawn due to lack in data for material-based wood use. Moreover, the study results vary strongly depending on the products used for the comparative analysis. Through our approach, the ecological impact of increased wood energy use becomes visible for a whole region, taking into account the effect of a demand shift and of interdependent substitution effects.     

Carbon pricing and energy efficiency improvement -- why to miss the interaction for developing economies? An illustrative CGE based application to the Pakistan case

Carbon/energy taxes and energy efficiency improvement are studied well in the recent years for their potential adverse impacts on economy, especially for lost production and international competitiveness, and rebound effects. However, little attention has been paid to investigate them jointly, which can not only prevent fall of energy services cost and thereby rebound effect but reduce the associated macroeconomic costs. This study thus employs a 20 sector CGE model to explore separately the impacts of carbon tax and its coordinated implementation with energy efficiency improvement on the Pakistan economy. The country underwent enormous pressure of energy security issues as well as climate change fallouts in the last couple of years and can be regarded as a suitable candidate for energy/environmental conservation policies to be considered at a broader context with more concrete efforts. The simulation results show that the impact of carbon tax on GDP is negative but resulting reductions in pollutant emissions are relatively high. Moreover, the GDP is expected to grow comparatively positive when analyzed with improvements in energy efficiency, with even higher decline in energy consumption demand and so emissions. This simultaneous economic and environmental improvement would thus have positive implications regarding sustainable development of the country.     

US long-term energy intensity: Backcast and projection

Energy intensity of the economy is often modeled as being determined by the combined effect of a fixed price elasticity of demand, and an exogenously specified, fixed technical change parameter denoted as the autonomous energy efficiency improvement (AEEI). Typically, the AEEI rate is set to 0.5–1.5% improvement per annum. Here, we study historic aggregate energy intensity trends for the US from 1954 to 1994. We show that the historic trends are inconsistent with an autonomous model of improved energy efficiency—especially when the model is used to inform policies that impact energy prices. As an alternative we propose a model of price-induced efficiency, π, in which aggregate energy intensity trends respond to changes in energy prices beyond price elasticity of demand ε.Our exercise reveals that the aggregate price elasticity of energy demand of the US economy has declined by roughly 15% over the past four decades. But beyond this decline, bringing our simulations and historical data into close correspondence requires π to change sign before and after 1974. Before 1974, after accounting for price elasticity of demand, the economy was growing less energy efficient. After 1974, after accounting for the price elasticity of demand, the economy was growing more energy efficient. Furthermore, since 1984, the rate of energy efficiency gain has been declining.When projections of long-term energy use are compared, those with a price-induced energy efficiency formulation generate significantly more price sensitive energy use and emissions trajectories. When in the business as usual scenario energy prices are expected to be rising, climate policies involve lower shadow carbon prices with π than with AEEI formulations. In scenarios where energy prices are relatively flat, energy intensity rises leading to CO₂ emissions far higher than standard business as usual projections utilizing AEEI assumptions.     

Analyzing carbon pricing policies using a general equilibrium model with production parameters estimated using firm data

Policy simulation results of Computable General Equilibrium (CGE) models largely hinge on the choices of substitution elasticities among key input factors. Currently, most CGE models rely on the common elasticities estimated from aggregated data, such as the GTAP model elasticity parameters. Using firm level data, we apply the control function method to estimate CES production functions with capital, labor and energy inputs and find significant heterogeneity in substitution elasticities across different industries. Our capital-labor substitution elasticities are much lower than the GTAP values while our energy elasticities are higher. We then incorporate these estimated elasticities into a CGE model to simulate China's carbon pricing policies and compare with the results using GTAP parameters. Our less elastic K-L substitution leads to lower base case GDP growth, but our more elastic energy substitution lead to lower coal use and carbon emissions. In the carbon tax policy exercises, we find that our elasticities lead to easier reductions in coal use and carbon emissions.     

Household energy use,energy efficiency,emissions, and behaviors

Energy and greenhouse gas (GHG) emissions generally aim to (i) reduce energy use and hence emissions, (ii) steer consumers away from fossil fuels and/or electricity generated from fossil fuels, and (iii) align demand and supply, making sure that the existing infrastructure can handle times of high demand. Policies thus include a variety of pricing schemes, taxes on energy inputs, energy efficiency standards and incentives, and renewables standards and incentives. Ex ante and ex post analyses of their effectiveness thus rely crucially on understanding how consumers respond to pricing schemes, taxes, and other policies. This paper presents an overview of the challenges faced when empirically estimating household energy demand. It describes the difficulties associated with estimating the price elasticity of demand, discussing behavioral responses that may make consumers relatively insensitive to price changes or taxes. It also surveys empirical evidence about non-price policies, such as clearer information or real-time feedback about energy use, and appeal to norms. The paper concludes discussing evidence about the rebound effect, the energy efficiency gap, and how suppliers respond to a variety of policies.     

The rebound effect in the aviation sector

The rebound effect, i.e., the (partial) offset of the energy efficiency improvement potential due to a reduction in marginal usage costs and the associated increase in consumer demand, has been extensively studied for residential energy demand and automobile travel. This study presents a quantitative estimate of the rebound effect for an air traffic network including the 22 busiest airports, which serve 14 of the highest O–D cities within the domestic U.S. aviation sector. To satisfy this objective, passenger flows, aircraft operations, flight delays and the resulting energy use are simulated. Our model results indicate that the average rebound effect in this network is about 19%, for the range of aircraft fuel burn reductions considered. This is the net impact of an increase in air transportation supply to satisfy the rising passenger demand, airline operational effects that further increase supply, and the mitigating effects of an increase in flight delays. Although the magnitude of the rebound effect is small, it can be significant for a sector that has comparatively few options for reducing greenhouse gas emissions.     

Analysis of CO2 emissions reduction potential in secondary production and semi-fabrication of non-ferrous metals

Industrial sector growth in developing countries requires the provision of alternatives to guarantee sustainable development. Improving energy efficiency and fuel switching are two measures to reduce CO₂ emissions in the industrial sector, with natural gas and low-carbon electricity as the most feasible options in the short term. In this work, a linear programming optimization model has been developed to study the potential of energy efficiency improvement and fuel substitution for CO₂ emissions reduction, at national level in the non-ferrous metals industry. The energy resource/end-use device allocation problem in secondary metal production and semi-fabrication has been modeled. Using this model, the particular case of Colombia, where low-carbon electricity is available, has been studied. By improving energy efficiency, energy use and CO₂ emissions can be reduced significantly, 73% and 72%, respectively, at negative costs. Further CO₂ emissions reductions, up to 88%, are possible with fuel switching to low-carbon electricity, increasing the costs for the energy system; however, cost reductions caused by energy efficiency improvement outweigh cost increments of fuel switching. Benefits achieved with fuel substitution using low-carbon electricity can be lost if hydropower is not available; in such a case, efficient natural gas-fired end-use devices are preferable.