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The purpose of this paper is to estimate industry-specific direct rebound effects and to relate these effects to industry energy efficiency programs. The rebound effect represents economic behavior that will offset energy savings from energy efficiency improvements. The paper focuses on four energy intense sectors in Sweden; pulp and paper, iron and steel, chemical, and mining, during 2001-2012. We apply a factor demand model that allows for asymmetric energy price responses, i.e. that firms respond differently to increasing and decreasing energy prices. The results show considerable rebound effects. For electricity and non-fossil fuels, efficiency improvements could even 'backfire'. To mitigate this effect, policies, such as voluntary energy efficiency programs, should be combined with an increase in energy taxes if the ambition is to reduce overall energy use. [ABSTRACT FROM AUTHOR]

In this paper, we have investigated the implications of the threshold effect of changes in FDI inflows for the nexus between energy consumption and economic growth in eight under-researched sub-Saharan African countries for the period 1971--2016. The countries are Benin, Congo, Kenya, Nigeria, Senegal, South Africa, Sudan, and Zambia. Using the lag-augmented VAR (LAVAR) model (corrected for cross-sectional dependence), we develop an empirical framework tightly linked to the endogenous growth model that allows for a threshold effect of changes (strength and weakness) in FDI inflows on the nexus. Our findings show that the FDI inflows matter for the causal link between energy consumption and economic growth in some countries, although, for the cross-section as a whole, our bootstrap simulation supports the neutrality hypothesis. The overall results suggest that an energy demand policy, such as an energy conservation policy, should not cause any significant adverse side-effects to economic growth in those sub-Saharan African countries. Policy implications of the threshold effect for the nexus for individual sub-Saharan African countries are also provided. [ABSTRACT FROM AUTHOR]

Expanding the supplies of new energy can not only reduce CO2 emissions, but also alleviate energy shortage. This paper applies the quantile regression to investigate the new energy industry in China. The results show that economic growth exerts the greatest effect on the new energy industry in the lower 10th quantile province. This is because these provinces have the developed economies, demand for a higher ecological environment and new energy resources. Foreign energy dependence has a minimal impact on the new energy industry in the 25th-50th quantile province, due to their minimal oil importation. The contribution of technological progress to the upper 90th quantile province is the lowest, because their R&D capabilities are the weakest. The impact of energy consumption structure decreases in steps from the lower 10th quantile provinces to the upper 90th quantile provinces. The agricultural sector promotes the new energy industry in most provinces. [ABSTRACT FROM AUTHOR]

This paper uses data from the 2015 Residential Energy Consumption Survey to explore the extent to which renters' electricity use in the United States exceeds that of otherwise similar non-renters. Renting households are found to use approximately 9% more electricity than non-renters when controlling for location, socioeconomic, and many appliance-quantity controls. There are multiple factors that explain this extra electricity use, including inferior energy efficiency of appliances, behavioral factors, differences in bill payment responsibilities, and additional reliance by renters on electric space and water heaters. The paper finds that none of these factors are dominant. The phenomenon of renters' (conditionally) higher electricity use is thus best understood as one that emerges from multiple sources. [ABSTRACT FROM AUTHOR]

This paper examines the determinants of inequality in the distribution of CO2 emissions across U.S. regions. We implement a factorial decomposition of CO2 per capita based on extended Kaya factors, that is, carbon intensity of fossil fuel consumption, energy mix, energy intensity of GDP, economic growth in terms of labor productivity and employment rate. Results reveal that U.S. states display marked differences in most factors. We identify energy intensity as the main source of emissions inequality. Based on the within and between group inequality components we also explore the effect of geographical, geological, climatic and human development partitions of U.S. states' groups. Findings indicate that the within-group inequality had been the main contributor to the whole inequality. Finally, some economic policy implications are also discussed; explaining the unequal distribution of emissions is vital to establish differentiated targets and work towards successful mitigation proposals. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of women's intra-household bargaining power on household cooking fuel choice. It further analyzes the determinants of household energy spending after the decision to use a given fuel has been made. The results reinforce the important role women play in the household cooking fuel choice and energy transition from traditional to modern fuel. In addition, income and education are found to be crucial factors that influence both household cooking fuel choice and energy expenditure. These findings imply that energy transition policies need to consider gender dimension and women's intra-household bargaining power. [ABSTRACT FROM AUTHOR]

Many economists and psychologists have studied the impact of nudges on households' pro-environmental behaviors. Interestingly, "private nudges" can be imagined for companies. Yet, studies focusing on nudging employees' energy use are rare. The objective of our paper is to explore this issue with the help of a field experiment conducted at 47 French companies' sites. Using a difference-in-difference methodology, the effects of three nudges on employees' energy conservation are tested. The first nudge, "moral appeal", stresses the responsible use of energy. The second one, "social comparison", informs employees on the energy consumption of other firms participating in the experiment. Finally, the third nudge, "stickers", alerts employees about good energy conservation practices. Our results stress the complementarity of these nudges. When implemented alone, the three nudges have no significant effects on energy consumption. However, when the moral appeal and social comparison nudges are combined with the stickers nudge, they become effective. [ABSTRACT FROM AUTHOR]

Imperfect information on future energy costs can lower the demand for more energy efficient technologies, with clear implications for energy supply, emissions and climate change. These hypotheses are explored using a randomised discrete choice experiment for property rental decisions. Results show that when energy consumption is expressed in physical units (as per the current EU labels) the willingness- to-pay for energy efficiency improvements is small and marginally significant. While bimonthly energy cost information displayed in monetary terms has no effect on the valuation of energy efficiency, annual monetary energy cost information led to a significant increase. This is the first paper to compare short and long-term point of sale energy cost information for household property decisions. There are clear implications for labelling policy for properties--framing energy consumption according to long-term monetary cost increases the demand for energy efficiency. [ABSTRACT FROM AUTHOR]

This paper proposes a micro-simulation assessment of the distributional impacts of the French carbon tax. It shows that the policy is regressive, but could be made progressive by redistributing the revenue through flat-recycling. However, it would still generate large horizontal distributive effects and harm a significant share of low-income households. The determinants of the tax incidence are characterized precisely, and alternative targeted transfers are simulated on this basis. The paper shows that given the importance of unobserved heterogeneity in the determinants of energy consumption, horizontal distributive effects are much more difficult to tackle than vertical ones. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the determinants of decline in energy intensity in four Chinese industries—pulp and paper, cement, iron and steel, and aluminum. This paper attempts to answer the following key question: For the purpose of promoting energy efficiency, do prices, technology, enterprise restructuring and other policy-related instruments affect various sectors uniformly so as to justify uniform industrial energy conservation policies, or do different industries respond significantly differently so as to require policies that are tailored to each sector separately? In this paper, we examine this question using data for China's most energy-intensive large and medium-size enterprises over the period 1999-2004. Our results suggest that in all four industries rising energy costs are a significant contributor to the decline in energy intensity over our period of study. China's industrial policies encouraging consolidations and scale economies also seem to have contributed to reductions in energy intensity in these four industries. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate bi-directional spillovers into residential and industrial sectors induced by energy efficiency improvement (EEI) in both the short- and long-term, and the impact of nesting structure as well as the size of elasticities of substitution of production and utility functions on the magnitude and the transitional dynamic of rebound effect. Developing a dynamic general equilibrium model, we demonstrate that residential EEIs spillover into the industrial sector through the labor supply channel and industrial EEIs spillover into the residential sector through the conventional income channel. Numerical simulations calibrated on the U.S. suggest that not taking into account these spillover effects could lead to misestimating the rebound effect notably of residential sector EEIs. We also demonstrate how the size and the duration of the rebound effect depend on the elasticities of substitution’s values. Numerical simulations suggest that alternative sets of value for the elasticities of substitution may give different sizable patterns of rebound effects in both the short- and long-term. In policy terms, our results support the idea that energy efficiency policies should be implemented simultaneously with rebound effect offsetting policies by considering short- and long-term economy feedbacks. As a consequence, they require considering debates about what type of policy pathways are more effective in mitigating the rebound effect. [ABSTRACT FROM AUTHOR]

Global climate change has caused governments worldwide to take actions to improve their energy efficiency. This paper investigates how China's Top-1000 program, a command-and-control type of energy-saving mandate, has affected the operational choices of firms, and in turn, their profitability. We apply the propensity score matching method to find "identical twins" for the participants in the Top- 1000 program, then conduct a difference-in-differences analysis on the matched sample. Our findings suggest that the profitability of the enterprises targeted for energy savings decreased by one-third, mainly due to increased production costs. The targeted enterprises tended to increase their fixed assets per capita, which was associated with improvements in energy efficiency. Furthermore, compared to similar untargeted enterprises, there was a significant slowdown in the production growths of the targeted enterprises, raising concerns about carbon leakage due to increased production by less efficient producers. [ABSTRACT FROM AUTHOR]

Following the European Union's implementation of Energy Performance Certificates (EPCs) for buildings, the capitalization of energy efficiency in transaction prices and rents has been subject to much research. This paper uses different identification strategies for the Norwegian residential sales (N = 750,000) and rental (N = 670,000) markets to highlight the endogeneity and methodological limitations associated with assessing the price effects of energy efficiency and the signaling effect of label adoption. We find that the valuation of energy efficiency is subject to unobserved location and quality bias, that labeling has immediate, short-run, and long-run price effects and that different effects are observed in different submarkets. We provide evidence that sample selection issues related to location and time, with methodological and data limitations, are essential factors that must be considered when assessing the effects of the EPC implementation. [ABSTRACT FROM AUTHOR]

This paper is the first to investigate the relationship between the energy efficiency of dwellings, measured by the energy performance certificate (EPC), and utility cost inclusion in rental prices. First, we investigate potential drivers behind the decision to include utility costs in rents. We find that labeled dwellings are more likely to include utility costs and that this likelihood is higher among energy-effi- cient dwellings than among inefficient dwellings. Next, we surprisingly find that utility costs seem to be under-capitalized in energy-inefficient dwellings. These results are confirmed with the counterfactual decomposition approach. Overall, the findings indicate that the EPC labeling policy may be important for both landlord and tenant decision-making and may enhance market efficiency. [ABSTRACT FROM AUTHOR]

This paper proposes an extended Solow decomposition framework with a finite mixture model, which is incorporated to account for heterogeneous regimes. The model decomposes green economy into two different components, namely, green total factor productivity and factor endowment. Then, we reestimate the growth sources of green economy and especially the importance of energy consumption in China's provincial industries over 2000-2015. The empirical results suggest that there are three green growth regimes across Chinese provinces for overall economy and different industries. Specifically, some provinces switch regime over time, while the others maintain the same regime. Furthermore, when controlling for regime heterogeneity, the contribution of factor endowment decreases and that of green total factor productivity increases. With respect to energy consumption, traditional methods overestimate its importance in the primary and tertiary industries and underestimate that in the secondary industry. In addition, the reliance of China's overall economy and the secondary and tertiary industries on energy consumption decreases as economy develops. [ABSTRACT FROM AUTHOR]

This paper examines the commercial opportunities for electrical energy storage, taking market prices as given and determining the extent to which a strategy of arbitrage across the day, buying at the lowest price times at night and selling at the highest price times during the early evening, and relying on price forecasts one day-ahead generates profits in the British context. The paper sets out the potential problems as the market moves to absorb increasing amounts of wind, then characterises the nature of prices, which reveals the importance of a strategy in which power is absorbed into store for a relatively few hours of the day and discharged over a relatively few hours. It argues that additional incentives may need to be put into place in order to render storage over relatively longer periods more attractive and to deliver broader social benefits which are unlikely to be generated and captured as a result of purely commercial considerations. [ABSTRACT FROM AUTHOR]

Existing tariff schemes often fail to achieve basic economic objectives. They set prices per unit that either exceed or fall short the social marginal cost and produce unfair distributional outcomes. In many cases, electricity rates also contribute to unsustainable fiscal deficits due to the (almost) generalized electricity subsidies. Moreover, inefficient residential tariffs do not favor the adoption of green technologies and the investment in energy efficiency improvements. We argue that the efficient deployment of green technologies, and more generally, the clean energy transition, will require electricity tariff reforms. In this paper, we use household level data and hourly industry data from Mexico to show how more efficient pricing mechanisms (such as a two-part tariff scheme in the context of efficient nodal pricing), combined with well-design environmental regulations (e.g., net-metering schemes) and correctly targeted transfer programs (e.g., means testing mechanisms) can improve economic, social, and environmental outcomes significantly, all at once. [ABSTRACT FROM AUTHOR]

This paper addresses the relative effectiveness of market vs program based climate policies. We compute the carbon price resulting in an equivalent reduction in energy from programs that eliminate the efficiency gap. A reduced-form stochastic frontier energy demand analysis of plant level electricity and fuel data, from energy-intensive chemical sectors, jointly estimates the distribution of energy efficiency and underlying price elasticities. The analysis obtains a decomposition of efficiency into persistent (PE) and time-varying (TVE) components. Total inefficiency is relatively small in most sectors and price elasticities are relatively high. If all plants performed at the 90th percentile of their efficiency distribution, the reduction in energy is between 4% and 37%. A carbon price averaging around $31.51/ton CO2 would achieve reductions in energy use equivalent to all manufacturing plants making improvements to close the efficiency gap. [ABSTRACT FROM AUTHOR]

Many policies lead to the provision of incentives, such as rebates or tax credits, to consumers for the purchase of products that have high energy efficiency. This paper investigates how these incentives are distributed across income groups for three types of subsidies (manufacturer or retailer rebates, utility rebates, and tax credits) and eight types of equipment. While incentives are always concentrated in higher-income households, there is substantial heterogeneity in the magnitude of the concentration depending on how incentives are structured. Tax credits are the type of subsidy that is most concentrated in higher-income households and utility rebates are the least. Incentives for appliances that are not universally-owned, including dishwashers and clotheswashers, are more concentrated than are incentives for other types of equipment. Differences across income groups in the rates of equipment presence and turnover, willingness to purchase Energy Star models, and rates of homeownership contribute to the concentration. After controlling for these factors, utility rebates are no longer concentrated in higher-income households, but manufacturer / retailer rebates and tax credits remain so. [ABSTRACT FROM AUTHOR]

This paper examines the incentives embedded in different regulatory regimes for investment by utilities in energy efficiency programs that aim to reduce network losses. In our model, a monopolist chooses whether to undertake an investment in energy efficiency, which is not observable by the regulator. We show that, in equilibrium, the monopolist chooses to exert positive effort more often under price cap regulation than under no regulation or mandated target regulation and that she exerts no effort under rate of return regulation. This result contrasts with an extensive literature that focuses on end-user energy conservation and shows that price caps are ineffective for achieving energy efficiency as utilities have an incentive to maximize sales volume. Thus, policies that are designed to promote demand-side energy conservation may diminish the utilities' incentives to pursue supply-side energy efficiency through minimizing network losses. [ABSTRACT FROM AUTHOR]

This paper investigates the intergenerational welfare impact of raising administered retail energy prices in Saudi Arabia, an example of an oil-exporting country with a fast growing population. To achieve this, we develop a dynamic model with overlapping generations (called MEGIR-SA), which we believe is the first empirical application of its type to be developed for an oil-exporting country. The model is used to analyze the effects of the increase in some Saudi administered energy prices implemented at the end of December 2015. In particular, the model analyzes how these price increases might affect the welfare of Saudis through a direct increase in energy expenditures, an indirect rise in Saudi public income stemming from a lower domestic demand for oil that fosters oil exports at a given level of domestic oil production, and a direct increase of the turnover of the energy sector. The two latter effects can be redistributed by the Saudi public authorities to private agents through higher current public spending and/or public investment. The analysis suggests that the increase in end-user energy prices results in a net overall favorable effect on the intertemporal welfare of all households. This mirrors the impact on the income of private agents of the surplus in public oil income associated with lower domestic consumption of oil products and recycled to private agents. Moreover, it is shown that the additional oil income associated with the increase in domestic energy prices tends to be relatively more beneficial to future generations if it is recycled through public investment. This is reinforced if the future price of oil remains relatively low. In a possible future situation of declining oil prices and domestic production, a policy that would help meet the Saudi Arabian objectives may consist of gradually increasing the fraction of the additional oil income that is recycled through public capital spending. [ABSTRACT FROM AUTHOR]

Using historical data from Nepal - one of the largest recipients of aid among South Asian countries - this paper investigates the link between foreign aid, growth, remittances and carbon dioxide (CO2) emissions. The investigation of this issue is particularly important, as policy makers in the least developed countries are increasingly concerned about growing reliance on energy imports, particularly fossil fuels, and increasing CO2 emissions. Mounting energy consumption has not only made their economies vulnerable to environmental disasters and increased health costs, but also to external shocks due to frequent fluctuations in international market prices for petroleum products. Since available studies are largely based on cross-sectional data - which lump together countries with different characteristics - empirical evidence is contradictory. In-depth case studies of countries with different backgrounds would certainly provide better insights into the link between aid, growth, remittances and CO2 emissions, and contribute to ongoing policy dialogue. Our empirical results, based on an in-depth case study of Nepal, suggest that more foreign aid and remittances reduce CO2 emissions, whereas financial development and higher income increase CO2 emissions. These findings point to the importance of market mechanisms for regulating financial development and higher income to control CO2 emissions, without undermining competitiveness. [ABSTRACT FROM AUTHOR]

In this paper we ask if consumption of energy for space heating by households is habit forming. A model of intertemporal consumption allocation allowing for habit-forming preferences is estimated on a register-based panel data set with high quality information about consumption of natural gas for a sample of Danish households. Results indicate that preferences are weakly habit forming. [ABSTRACT FROM AUTHOR]

The distributional impact of the low-carbon transition is an increasingly important topic both for academics and policymakers. Quantifying where the costs and benefits fall can provide greater insight into the equity and cost-effectiveness of government policies, and improve our understanding of household investment decisions. This paper provides new evidence on the distribution of returns from energy efficiency measures both over time and across household-type. A range of econometric techniques are applied to a database of over four million households over an eight year period to quantify heterogeneity, persistence and how these factors impact the relative cost-effectiveness of measures. Results suggest that more deprived households experience lower energy savings, the difference persists over time, and that significantly heterogeneity may be present across levels of deprivation and income deciles that can not be explained by differences in baseline consumption. Measures have been largely cost-effective but savings are much lower than previous policy evaluations using ex-ante estimates would suggest. [ABSTRACT FROM AUTHOR]

The energy rebound effect is a potential threat to energy-saving targets based on energy efficiency improvements. This paper employs a stochastic energy demand frontier model to analyze the energy demand and rebound effect in China's urban residential sector. Using a panel data set of 30 Chinese provincial-level regions over the period 2001-2014, for the first time, we investigate the degrees and determinants of China's urban residential energy demand and energy rebound effect. The results show that residents' income level, energy price, temperature deviation, population scale, household size, and district heating system are significant influencing factors of residential energy consumption. Regarding the energy rebound effect, we find that energy price is negatively correlated with the rebound effect, and an inverted U-shaped relationship between residents' income level and rebound-effect size exists. The magnitude of the rebound effect varies across regions, with an average of 65.4%. The main policy implication generated by this study is that it should be in urgent need of energy pricing reform to mitigate the rebound effect in China. [ABSTRACT FROM AUTHOR]

This paper is one of the limited studies to investigate rebound effects in sectoral electricity consumption and the specific case of New Zealand. New Zealand, like other OECD economies, has aimed for energy efficiency improvements and reduced electricity consumption from 9.2 MWh per capita in 2010 to 8.6 MWh per capita in 2015. However, following a significant decline since 2010, electricity consumption in the main New Zealand sectors is increasing. Energy conservation could play an important role in meeting the growing demand for electricity but rebound effects can affect the effectiveness of conservation policies. We decompose the sectoral electricity prices to capture the asymmetric demand response to electricity price changes and estimate electricity demand elasticity during 1980 and 2015 to estimate the sectoral rebound effects. We find partial rebound effects of 54% and 23% in the industrial and commercial sectors respectively while we find no rebound effect at the aggregate level. The rebound effect is insignificant in the residential sector. These findings lead to policy recommendations for sector specific energy conservation measures and policies. [ABSTRACT FROM AUTHOR]

Asymmetric information is an important barrier to the adoption of energy efficient technologies. In this paper, we study supply-side implications of the associated incentive structure. We build on existing evidence that, in some settings, energy efficiency owns a credence component, whereby the supply side of the market has more information about what technology is best for consumers. The literature on credence goods markets suggests that an information advantage by expert-sellers leads to market inefficiencies, including low trade volume. We start by developing a simple framework to study supply-side incentives related to the provision of energy efficient technologies. We then document inefficiencies and potential remedies by discussing linkages between an empirical literature on credence goods and that on the market for energy efficiency. Doing so, we identify implications for the design of policies promoting the adoption of energy-efficient technologies. [ABSTRACT FROM AUTHOR]

Many countries plan to decarbonise their energy systems by increasing energy efficiency and expanding the use of renewable energy sources (RES). Such actions require significant investments in new energy infrastructures. While people are generally accepting of these infrastructures, opposition sometimes arises when these developments are sited at close proximity to people's residences. Therefore, it is important to understand what actually drives people's preferences for spatial proximity to different energy infrastructure technologies. This study examines the factors influencing people's proximity preferences to a range of different energy technologies using a cross-country econometric analysis of the stated preference data from an unprecedented survey conducted on nationally representative samples of the population in Ireland, the U.S. and Germany. The survey involved more than 4,500 participants in total. This paper presents the data and selected results from a generalised ordered logit model for each energy technology surveyed. These are; wind turbines, solar power technology, biomass power plant, coalfired power plant and natural gas power plant. The results show that, in general, German and Irish citizens are willing to accept energy infrastructures at smaller distances to their homes than their U.S. counterparts. Moreover, attitudinal factors are found to shape people's preferences more consistently than any of the socio-demographic characteristics. [ABSTRACT FROM AUTHOR]

This paper contributes to a better understanding of the effects of the European single market strategy by studying the effect of energy market integration (EMI) on foreign direct investment (FDI). Enforcing an EMI diminishes energy uncertainty and price volatility and signals stronger and credible institutions. FDI may, as a result, increase both within and outside the EMI area through two channels: first, via energy price converge and, second, via price dispersion reduction. We develop a formal model to explain how these mechanisms affect the capital invested abroad by heterogeneous firms. The Iberian Electricity Market (MIBEL) integration of 2007 is used to quantify the effect of EMI on FDI empirically. Gravity estimates on a global dataset including bilateral FDI data show that the integration of Portugal and Spain's electricity market increased both the amount of FDI's participants and the number of foreign projects. In line with our theoretical expectations, our estimates show that the increase of FDI is mainly due to the reduction in price dispersion. However, the institutional credibility signal sent by MIBEL had a greater influence than expected by the actual price reduction. Furthermore, we also observe a positive increase in FDI from neighboring countries (in this instance, France), albeit lower in magnitude. [ABSTRACT FROM AUTHOR]

There are possible synergies between the decision to invest in energy efficiency measures and to adopt renewable energy, in the sense that the former reduces energy demand so that the latter can further cut future greenhouse gas (GHG) emissions, and which has great potential in the residential sector. Much work has been done in the residential sector on demand for clean energy and on investment in energy efficiency, but to our knowledge there is no specific study that investigates the relationship between the two. This paper fills a gap in the literature, and first shows theoretically that there are relationships of substitution or complementarity between the two decisions depending on the threshold of the cross effect related to the environmental motivation of the consumer. Second, the paper empirically shows that the two decisions are positively interrelated due to unobserved characteristics that determine both decisions. Third, the paper provides differential impact of energy poverty, split incentive problem, dwelling characteristics, commitment and trust on the two decisions. Finally, the paper investigates household characteristics that significantly affect the joint adoption of energy efficient and renewable energy technologies. This contribution can serve to define incentive policies to advance the energy transition. [ABSTRACT FROM AUTHOR]

In 2018, an agreement between the key EU institutions--the Commission, the European Parliament, and the European Council--was reached after a long-lasting discourse over the 2030 EU climate and energy policy package. This paper offers a comprehensive assessment of the EU package, with its three main targets: lower greenhouse gas emissions, higher renewable share in final energy consumption, and improved energy efficiency. We find that the renewable and energy efficiency targets have been set so high that the derived emissions reduction (50 percent) exceeds the EU climate target (40 percent). Hence, there is no need for an EU climate policy, for example, to use carbon prices to reach the EU climate goals. It is, however, not cost-efficient to achieve the climate target by imposing the three EU targets. We demonstrate that a cost-efficient policy that obtains a 50 percent GHG emissions reduction would increase annual welfare (relative to the Reference scenario) by an amount corresponding to 0.6 percent of GDP in Europe. [ABSTRACT FROM AUTHOR]

In this paper, a stochastic frontier analysis approach is applied to estimate energy demand functions in the transport sector. This approach allows us to obtain energy efficiency measures at country level that are a robust alternative to the energy intensity indicators commonly used for international comparisons. A transitive multilateral price index is constructed for aggregating the diverse energy components employed in the sector. Due to the likely unobserved heterogeneity among countries, the use of a random parameters model is proposed to accommodate these differences and to obtain different income and price elasticities per country. The estimated model is compared with alternative approaches of addressing this issue such as latent class, true fixed effects or true random effects models. This study is the first to use a random parameters stochastic frontier approach in the estimation of energy demand functions. The proposed procedure is applied to Latin America and the Caribbean, where the transport sector represents a large share of total energy consumption. [ABSTRACT FROM AUTHOR]

Smart meters, in conjunction with time-of-use (TOU) pricing, can facilitate an improvement in energy efficiency by providing consumers with enhanced infor-mation about electricity consumption and costs, and thereby encourage a shift away from consumption during peak hours. In 2009-10, the Irish Commission for Energy Regulation co-ordinated a randomised controlled trial in the Irish residential electricity market. Smart meters were introduced in approximately 5,000 households, divided into control and treatment groups, with treatment groups exposed to a variety of TOU tariffs and information stimuli. This paper analyses the response of Irish households at different times of the day to the introduction of TOU tariffs and information stimuli. We find that these measures have a significant effect in reducing electricity consumption in Ireland, particu-larly during peak hours. However, while households reduce peak demand signifi-cantly after the introduction of TOU tariffs and associated information, there is little incremental response to increasing differentials between peak and off-peak prices. [ABSTRACT FROM AUTHOR]

This paper presents an econometric analysis of curtailment costs of renewable energy sources (RES) in Germany. The study aims at explaining and quantifying the regional variability of RES curtailment, which is a measure to relieve grid overstress by temporarily disconnecting RES from the electricity grid. We apply a Heckit sample selection model, which corrects bias from non-randomly selected samples. The selection equation estimates the probability of occurrence of RES curtailment in a region. The outcome equation corrects for cross-sectional dependence and quantifies the effect of RES on curtailment costs. The results show that wind energy systems connected to the distribution grid increase RES curtailment costs by 0.7% per MW (or 0.2% per GWh) in subregions that have experienced RES curtailment over the period 2015-2017. The implication of this finding is that policymakers should set price signals for renewables that consider the regional grid overstress, in order to mitigate the cost burden on consumers due to excess generation from RES. [ABSTRACT FROM AUTHOR]

The assessment of industrial-level energy efficiency's (EE) development is a critical research topic that has entrenched in the global battle against climate change. Under the Energy Efficiency Directives 2012/27/EU and 2018/2002/EU, European Commission sets specific industrial energy efficiency targets, rules and obligations for the 2020-2030 period aiming, among others, at specific energy intensity reduction and energy efficiency improvements. In this paper we use a balanced panel of fourteen European industries from twenty-seven countries for the period 1995-2011 under a metatechnology framework. The aim of this study is to evaluate, at a first stage, the industrial total factor energy efficiency (TFEE) at a national and European level by incorporating technological heterogeneity through a nonparametric approach. Reflecting the divergent views on the importance of desirable and undesirable outcomes in the pursuit of TFEE, we additionally estimate industrial performance by prioritizing either economic or environmental aspects. At the second stage of our analysis, econometric models are applied to investigate the main factors of industrial TFEE using sector specific and country characteristics while we further proceed with a ß and s-convergence analysis for our TFEE measures. The results of this study reveal that small-scale economies exhibit persistent high TFEE scores. At the same time, TFEE determinants suggest that path dependence phenomena have a strong presence, climatic characteristics occur while energy mix displays both linear and non-linear relationship. Either considering one desirable output or consolidating the undesirable output in the production function our results indicate a strong evidence of conditional and unconditional convergence in TFEE scores. [ABSTRACT FROM AUTHOR]

Given the increasing importance of the wastewater sector in terms of energy usage, the understanding of the level of energy efficiency of wastewater treatment plants (WWTPs) is useful to both the industry itself as well as policy makers. Here, based on economic foundations, we apply a Stochastic Frontier Analysis (SFA) approach for energy demand modelling to estimate energy efficiency in the wastewater sector. Using specific SFA models and panel data from 183 Swiss WWTPs over the period 2001 to 2015, the paper illustrates that distinguishing between persistent and transient inefficiency is essential to deduce appropriate energy efficiency diagnosis in WWTPs. In this respect, persistent energy inefficiency is found to be more severe than transient energy inefficiency. Furthermore, it is shown that the age of the equipment influences the demand for energy and the energy savings due to technological innovation are quantified. Finally, economies of output density and scale are estimated demonstrating that for plants operating below optimal scale significant energy savings can be achieved if plants would be operated at higher size. Moreover, our analysis reveals also that for plants larger than 100,000 Population Equivalent, at least from an energy efficiency point of view, it would be no more beneficial to increase their scale. [ABSTRACT FROM AUTHOR]

Since the 1990s, electricity distribution networks in many countries have been subject to incentive regulation. The sector regulators aim to identify the best performing utilities as frontier firms to determine the relative efficiency of firms. This paper develops a nested latent class (NLC) model approach where unobserved differences in firm performance are modelled using two 'zero inefficiency stochastic frontier' (ZISF) models nested in a 'latent class stochastic frontier' (LCSF) model. This captures the unobserved differences due to technology or environmental conditions. A Monte Carlo simulation suggests that the proposed model does not suffer from identification problems. We illustrate the proposed model with an application to Norwegian distribution network utilities for the period 2004-2011. We find that the efficiency scores in both LCSF and ZISF models are biased, and some firms in the ZISF model are wrongly labelled as inefficient. Conversely, inefficient firms may be wrongly labelled as being fully efficient by the ZISF model. [ABSTRACT FROM AUTHOR]

This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties. [ABSTRACT FROM AUTHOR]

In a widely cited series of papers, Hassett and Metcalf argue that the slow diffusion of energy saving technology may be due to a high option value to waiting. While the authors clarify that this is relevant for yes/no decisions (such as whether to add insulation to a home), this argument has been widely cited even in investment decisions that involve a choice over multiple appliances or vehicles. In this note we consider how uncertainty and irreversibility would impact a consumer's decision about when to buy which new product. We show that, a priori, applying an option value framework is as likely to lead to slow diffusion of inefficient products as to slow diffusion of efficient products. This casts some doubt on the idea that an option value framework is the primary driver of the slow diffusion of energy efficient technologies. [ABSTRACT FROM AUTHOR]

This paper estimates energy demand in the British domestic and industrial sectors and analyzes the extent to which energy-saving technological change is exogenous, or induced by the energy price. The paper implements models with a linear trend, models making use of the price decomposition of Dargay and Gately (1995a) and the Structural Time Series Models (STSMs) of Harvey (1989). Stochastic trends have been found to be rather important while in neither of the sectors assessed in this study could the hypothesis of symmetric price effects be rejected. Following Hunt and Judge (2005), stochastic trend and asymmetric price effects are found to be substitutes in the industrial sector. In particular we conclude that asymmetric price effects can substitute for the slope in the stochastic trend. Finally, energy consumption in the industrial sector is strongly influenced by price while the effect of price in the domestic sector is markedly smaller. [ABSTRACT FROM AUTHOR]

The current paper contributes to the literature on the relationship between economic development and energy demand by assembling a wide panel dataset of energy consumption and prices for 37 OECD and 41 non-OECD countries. The unbalanced data spans 1960-2016, with the full 56 years of data for 17 countries and all countries having at least 18 years. In addition, our dynamic panel estimates address nonstationarity, heterogeneity, and cross-sectional dependence. Most results suggest that the GDP elasticity is less than unity (e.g., 0.7)-i.e., energy intensity will fall with economic growth. Most evidence suggests that the GDP elasticity is similar for OECD and non-OECD countries, and for non-OECD countries, similar across income-bands. Also, there is no evidence that individual country elasticity estimates (for GDP or prices) vary systematically according to income. The price elasticity is larger (in absolute terms) for OECD than for non-OECD countries- indeed, it is typically insignificant for non-OECD countries. [ABSTRACT FROM AUTHOR]

A common distinguishing feature of engineering models is that they explicitly represent best practice technologies, while parametric/statistical models represent average practice. It is more useful to energy management or goal setting to have a measure of energy performance capable of answering the question, "How close is observed performance from the industry best practice?" This paper presents a parametric/statistical approach to measure best practice. The results show how well a plant performs relative to the industry. A stochastic frontier regression analysis is used to model plant level energy use, separating energy into systematic effects, inefficiency, and random error. One advantage is that physical product mix can be included, avoiding the problem of aggregating output to define a single energy/output ratio to measure energy intensity. The paper outlines the methods and gives an example of the analysis conducted for a non-public micro-dataset of wet corn milling plants. [ABSTRACT FROM AUTHOR]

The proper design of price interventions in energy markets requires consideration of equity and efficiency effects, In this paper, budget survey data from 29,000 Indonesian households are used to estimate a demand system for five energy sources, which is identified by the spatial variation in unit values (expenditures divided by quantities), We correct for the various quality and measurement error biases that result when unit values are used as proxies for market prices. The price elasticities are combined with tax and subsidy rates to calculate the marginal social cost of price changes for each item. The results suggest that even with high levels of inequality aversion there is a case for reducing the large subsidies on kerosene in Indonesia, supporting the reforms that have been announced recently. [ABSTRACT FROM AUTHOR]

This paper addresses how far public initiatives should try to eliminate the energy efficiency gap if consumers hold private information about their willingness to pay for efficiency. The major finding is that even socially optimal efficiency programs should only close a fraction of the gap. This conclusion has to be strengthened if the external costs of energy were internalized, because an intervention is then only justified for low costs of public funds and very large payback gaps. Furthermore, the realistic assumption of private information implies that the highest subsidies must be paid to efficient types, which turns incentives based on perfect information upside down. [ABSTRACT FROM AUTHOR]

In this paper, we analyse infrastructure needs of the European natural gas market in response to decarbonisation of the European energy system. To this end, we use numerical modelling and apply the Global Gas Model. We investigate three pathways of future natural gas consumption: i) a decreasing natural gas consumption, following the scenarios of the EU Energy Roadmap 2050; ii) a moderate increase of natural gas consumption, along the lines of the IEA's New Policies Scenario; and iii) a temporary increase of natural gas use as a "bridge" technology, followed by a strong decrease after 2030. Our results show that current import infrastructure and intra-European transit capacity are sufficient to accommodate future import needs in all scenarios. This is despite a pronounced reduction of domestic production and a strong increase in import dependency. However, due to strong demand in Asia, Europe must increasingly rely on exports from Africa and the Caspian region, leading to new infrastructure capacity from these regions. When natural gas serves as a "bridge" technology, short-term utilisation rates of LNG import capacity temporarily increase instead of instigating large scale pipeline expansions. [ABSTRACT FROM AUTHOR]

Based on a review of the current state of the Carbon Capture, Transport and Storage (CCTS) technology, this paper analyzes the layout and costs of a potential CO2 infrastructure in Europe at the horizon of 2050. We apply the mixedinteger model CCTS-Mod to compute a CCTS infrastructure network for Europe, examining the effects of different CO2 price paths with different regional foci. Scenarios assuming low CO2 certificate prices lead to hardly any CCTS development in Europe. The iron and steel sector starts deployment once the CO2 certificate prices exceed 50 €/tCO2. The cement sector starts investing at a threshold of 75 €/tCO2, followed by the electricity sector when prices exceed 100 €/tCO2. The degree of CCTS deployment is found to be more sensitive to variable costs of CO2 capture than to investment costs. Additional revenues generated from utilizing CO2 for enhanced oil recovery (CO2 -EOR) in the North Sea would lead to an earlier adoption of CCTS, independent of the CO2 certificate price; this case may become especially relevant for the UK, Norway and the Netherlands. However, scattered CCTS deployment increases unit cost of transport and storage infrastructure by 30% or more. [ABSTRACT FROM AUTHOR]

Understanding the rapidly rising demand for energy in China is essential to efforts to reduce the country's energy use and environmental damage. In response to rising incomes and changing prices and demographics, household use of various fuels, electricity and gasoline has changed dramatically in China. In this paper, we estimate both income and price elasticities for various energy types using Chinese urban household micro-data collected by National bureau of Statistics, by applying a two-stage budgeting AIDS model. We find that total energy is price and income inelastic for all income groups after accounting for demographic and regional effects. Our estimated electricity price elasticity ranges from -0.49 to -0.57, gas price elasticity ranges from -0.46 to -0.94, and gasoline price elasticity ranges from -0.85 to -0.94. Income elasticity for various energy types range from 0.57 to 0.94. Demand for coal is most price and income elastic among the poor, whereas gasoline demand is elastic for the rich. [ABSTRACT FROM AUTHOR]

To analyze the operational efficiency of Chinese power sector at the provincial level, this paper studies the convergence of technical efficiency and productivity growth of electricity across 29 Chinese provinces during the period 1996-2008 using several convergence models. Depending on the model being employed, we find evidence of convergence of operational efficiency towards either a national steady state or towards their own steady states, with the latter process occurring more rapidly. In essence, our study provides evidence of negative effects of government intervention. Additionally, we use the nonparametric distribution dynamics approach to analyze intra-distributional dynamics of technical efficiency and productivity. We find some support for productivity convergence while technical efficiency does not converge for provinces with relatively low levels. We discuss policy implementations based on our model results and highlight several aspects for policy making in the power sector reforms currently being undertaken. [ABSTRACT FROM AUTHOR]

The article presents an introduction to this issue of the journal that covers topics of immediate interest in understanding the current challenges facing the global energy-economic environment.