On the redistributive effects of Germany’s feed-in tariff

This article assesses the redistributive effects of a key element of German climate policy, the promotion of renewables in the electricity generation mix through the provision of a feed-in tariff. The tariff shapes the distribution of households’ disposable incomes by charging a levy that is proportional to household electricity consumption and by transferring financial resources to households who are feeding green electricity into the public grid. Our study builds on representative household survey data, providing information on various socio-demographics, household electricity consumption, and ownership of photovoltaic facilities. The redistributive effects of the feed-in tariff are evaluated by means of inequality indices. All the indices indicate that Germany’s feed-in tariff is regressive.     

Switching the lights off: The impact of energy tariff increases on households in the Kyrgyz Republic

This paper describes an analysis of the impact that higher energy tariffs would have on households in the Kyrgyz Republic using micro-data from the 2009 Kyrgyz Integrated Household Survey. This analysis was conducted to determine which households would be most affected by higher energy tariffs and to what extent mitigation measures, such as lifeline tariffs or direct cash transfers, might lessen the impact for poor and vulnerable households. The analysis focused on first-order effects and used benefit incidence analysis and static micro-simulation to estimate the expected costs and benefits of higher energy prices and the corresponding mitigation measures. The results suggest that both the type of energy and the level of connectedness matter. Increasing tariffs for thermal power used for central heating and hot water mainly affects richer households in urban areas. Reducing implicit electricity subsidies affects the entire population due to nearly complete country coverage with electricity connections. Both lifeline tariffs and direct cash transfers could mitigate the effect of higher electricity tariffs at lower costs than universal subsidies.     

Air conditioning and electricity expenditure: The role of climate in temperate countries

This paper investigates how households adopt and use air conditioning to adapt to climate change and increasingly high temperatures, which pose a threat to the health of vulnerable populations. The analysis examines conditions in eight temperate, industrialized countries (Australia, Canada, France, Japan, the Netherlands, Spain, Sweden, and Switzerland). The identification strategy exploits cross-country and cross-household variations by matching geocoded households with climate data. Our findings suggest that households respond to excess heat by purchasing and using air conditioners, leading to increased electricity consumption. Households on average spend 35%–42% more on electricity when they adopt air conditioning. Through an illustrative analysis, we show that climate change and the growing demand for air conditioning are likely to exacerbate energy poverty. The number of energy poor who spend a high share of income on electricity increases, and households in the lowest income quantile are the most negatively affected.     

The effectiveness of home energy audits: A case study of Jackson,Wyoming

This study examines the factors that influence households to adopt modifications recommended by home energy audits and whether these audits lead to significant reductions in electricity use. Household decisions after the audits are recorded along with the corresponding recommended modifications and the offers for co-funding. A discrete choice model of the household decision after the audit is estimated. The results indicate that the potential improvement in heating efficiency from the proposed modifications increase the probability of implementing conservation measures. Co-funding offers also significantly raise the odds of accepting the modifications but are relatively less important than anticipated efficiency improvements. Several approaches are used to determine whether and how much energy is saved after the audits. Electricity demand models are estimated using data two years before and after each household audit. For households who decide to modify their houses after the audit, monthly average electricity use per square foot decreases 7%. While there is an estimated 2% reduction in electricity use attributed to the audit by households who decided not to adopt the proposed modifications, this reduction is not statistically significant, casting doubt on the presence of modifications in behavior from the audit information itself. For all households audited, the results from the electricity demand models suggest that the LVE home energy audit program reduced household electricity use 4.7%. In contrast, a differences-in-differences approach using synthetic control groups based upon a smaller but still sizeable sample of 2000 observations finds that home energy audits reduce household electricity use by more than 10%. Overall, these findings suggest that home audits result in modest but significant reductions in energy use and that co-funding encourages investments that otherwise may not be privately optimal.     

Household-level analysis of the impacts of electricity consumption on welfare and the environment in Cambodia: Empirical evidence and policy implications

Cambodia’s biomass consumption is the most dominant energy source at residential sector, and its use is mainly for cooking and heating which could affect health due to indoor air pollution. The biomass is mainly sourced from wood cutting and forest-encroachment that could impact the environment due to reduction of forest at considerable scale. By using the data 2015 of Cambodia Socio-Economic Survey, the study investigates the impacts of electricity consumption on household welfare, such as earnings and the school performance of children in the households, and further to investigate its impacts on the environment. The study found that household’s access to electricity with ability to spend on electricity consumption contributes to the positive household welfare effects and environment via a reduction of biomass consumption, and the more household spends on biomass, the more they are prone to sickness of lung problem. The study also confirmed the important role of human capital formation for the positive impact on the welfare and the environment. These findings lead to policy implications that would improve affordable access to electricity to ensure that all households can use electricity for their basic needs and productivity, and also to reduce the negative effects on environment.     

Examining energy poverty in Chinese households: An Engel curve approach

This article is first to model energy poverty in Chinese households using an Engel curve approach. To analyse the determinants of energy poverty and energy expenditures across households, we avail the 2015 wave of the Chinese General Social Survey (CGSS). Possible presence of endogeneity is accounted for in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of energy poverty model by gender, ethnicity, region (Eastern vs. non-Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) education is the key determinant of various energy poverty measures and energy expenditure shares across Chinese households; (ii) other determinants including fossil fuel mix and electricity price discrimination are found to worsen energy poverty, on average. However, fossil fuel mix is found to increase expenditure share of total energy, electricity, and coal and decrease that of biomass; and (iii) the Blinder–Oaxaca decomposition analyses show no statistically significant gender or ethnic discrimination in energy poverty rates. However, there is substantial divide between Eastern and non-Eastern provinces and between rural and urban households—with these groups also discriminated against when accessing clean cooking fuels and technologies. The Blinder–Oaxaca results also generally support the logistic and the Lewbel energy poverty model findings.     

The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy

This paper investigates the willingness to pay of a sample of residents of Bath, England, for a hypothetical program that promotes the production of renewable energy. Using choice experiments, we assess the preferences of respondents for a policy for the promotion of renewable energy that: (i) contributes to the internalization of the external costs caused by fossil fuel technologies; (ii) affects the short-term security of energy supply; (iii) has an impact on the employment in the energy sector; and (iv) leads to an increase in the electricity bill. Responses to the choice questions show that our respondents are in favour of a policy for renewable energy and that they attach a high value to a policy that brings private and public benefits in terms of climate change and energy security benefits. Our results therefore suggest that consumers are willing to pay a higher price for electricity in order to internalize the external costs in terms of energy security, climate change and air pollution caused by the production of electricity.     

Community-based incentives for environmental protection: the case of green electricity

This paper examines the effectiveness of using community-level rewards to subsidize environmental protection. Specifically, we study the Connecticut Clean Energy Communities (CCEC) program that provides mostly symbolic rewards in the form of municipal photovoltaic installations in proportion to the number of households that voluntarily purchase green electricity. We find that the program causes a 22 % increase in the number of households purchasing green electricity in CCEC municipalities. The pattern of results suggests that the CCEC leads to the mobilization of community-based recruitment campaigns that increase signup rates by up to 700 % around the period of initial qualification. We also find that a change in the marginal incentive created by the program has little consequence on signup behavior. The implication for policy is that community-based incentives can be effective, but the size of the subsidy itself appears less important. Finally, simple calculations based on CCEC up-front costs reveal upper-bound, cost-effectiveness measures of $570 per household signup, 6.7 $\not {c} $ per kilowatt-hour of annual green-electricity demand, and $113 per ton of annual carbon-dioxide emission reductions.     

Fuel poverty and access to electricity: comparing households when they differ in needs

Although sequential stochastic dominance techniques have been used in the literature to make comparisons of income poverty which are robust to the assumptions made about the economies of scale within households, the techniques could be applied to a much wider set of issues. In this paper, these techniques are applied to energy deprivation in Guatemala. Fuel poverty is compared among households with and without access to electricity, and it is assessed whether access to electricity for those who do not have access currently would eliminate the observed difference in fuel poverty between the two groups of households.     

Estimating the long-term effects of utility energy conservation programs: A Pacific Northwest example

The Bonneville Power Administration operated a Residential Weatherization Pilot Program from 1980 through 1982. The program provided free home energy audits to 7200 electrically heated homes in the Pacific Northwest and gave zero-interest loans to weatherize 4100 of these homes. The total cost of the program was almost $11 million.The pilot program and its regionwide successor are intended to provide benefits to the Pacific Northwest region for roughly 30 years in terms of reduced residential energy consumption. Therefore, it is important to determine the durability of the electricity savings due to the program. Estimates of long-term savings affect power supply planning in the region and influence the economics of the program itself (i.e., the level of funding that BPA can justify for the program).This article presents empirical results concerning the total and net energy-saving affects of the BPA pilot program 1, 2, and 3 years after participation. The total annual electricity saving experienced by households that received an energy audit and a weatherization loan averaged 5300 kWh 1 year after participation, increasing to 6000 and 6500 kWh 2 and 3 years after participation, respectively. The net annual electricity saving that can be directly attributed to the program for these audit plus loan households averaged 4500 kWh (15% of preprogram use) 1 year after participation and declined slightly to about 4300 kWh 2 years and 4200 kWh 3 years after participation.The article uses these empirical findings with a simple simulation model to estimate the effects of the program into the future. Assuming that electricity prices remain constant after 1984, total energy savings increase to a level of 7000 kWh, while net energy savings decrease to 3600 kWh for the audit plus loan households. Alternative electricity price scenarios are discussed.     

Estimating the Value of Undergrounding Electricity and Telecommunications Networks

Underground low‐voltage electricity and telecommunications networks have a number of advantages over overhead networks, including reliability of supply, safety and improved visual amenity. This article investigates the value of these benefits to households by estimating the relationship between house prices and type of network service in three suburbs in Canberra, Australia. Holding other house and neighbourhood characteristics constant, we find that underground networks increase house prices by 2.9 per cent. Although the electricity network in Canberra has some unusual features, this approach can provide valuable information to policy‐makers considering undergrounding programs in residential areas.     

Do small pecuniary incentives motivate residential peak energy reductions? Experimental evidence

This article evaluates demand-side interventions aimed at reducing residential consumption during the peak energy periods. The interventions were applied to a sample of high-income households and included a set of text message reminders advising participants to reduce electricity use during peak hours. One group of participants received accompanying intra-day increases in peak-hour kWh rates, while another group of participants did not receive any price incentives. We find that intra-day price increases, though small in absolute magnitude, produced significant reductions in peak energy use. Reductions in use, as compared to a control group, were significantly higher among the pricing group compared to the group only receiving text messages, suggesting that pricing played a central role in influencing behaviour. Our results contribute to ongoing policy discussion about the effect of dynamic pricing on consumer energy demand.     

Zur Energienachfrage privater Haushalte

Summary This paper analyzes the private demand for energy (coal, heating oil, natural gas and electricity) for the period 1958–1974, using yearly data.The energy demand of private households is supposed to be dependent on household incomes, prices of the respective energy sources and yearly temperature levels. The special aim of this paper is to get hold of the influence of the relative prices of the 11 sub-groups of private consumption. The impact of these relativ prices is analyzed through the method of principal components, where upon the first three principal components are introduced as additional independent variables into the regression.Although the principal components do not have any interpretation beyond that of an index, the fit of the estimated demand questions has been improved and the elasticities are more close to the expected values.     

The Effects of Electricity Costs on Firm Re-location Decisions: Insights for the Pollution Havens Hypothesis?

Electricity costs are partly driven by environmental policy choices. In this paper, the effects of variations in electricity costs—as measured by end-user electricity prices–on firm relocation decisions are investigated. Using a discrete choice model and a data base that has not previously been exploited to study this problem, we investigate the effects of variations in electricity costs on the intensive and extensive re-location decisions of European firms. We find that electricity costs play a significant role in determining relocation destinations. This effect is asymmetric between firms moving into and out of a country, and between high and low energy intensity sectors. The findings of the paper have implications for the Pollution Havens Hypothesis, since they show the extent to which the effects of climate policy on domestic electricity costs can be expected to impact on firm relocation decisions both into and out of a country.     

The prosumers and the grid

Prosumers are households that are both producers and consumers of electricity. A prosumer has a grid-connected decentralized production unit and makes two types of exchanges with the grid: energy imports when the local production is insufficient to match the local consumption and energy exports when local production exceeds it. There exists two systems to measure the exchanges: a net metering system that uses a single meter to measure the balance between exports and imports and a net purchasing system that uses two meters to measure separately power exports and imports. Both systems are currently used for residential consumption. We build a model to compare the two metering systems. Under net metering, the price of exports paid to prosumers is implicitly set at the price of the electricity that they import. We show that net metering leads to (1) too many prosumers, (2) a decrease in the bills of prosumers, compensated via a higher bill for traditional consumers, and (3) a lack of incentives to synchronize local production and consumption.     

Rethinking real-time electricity pricing

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the first program to expose residential consumers to hourly real-time pricing (RTP). I find that enrolled households are statistically significantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during off-peak times. The program increased consumer surplus by $10 per household per year. While this is only one to two percent of electricity costs, it illustrates a potential additional benefit from investment in retail Smart Grid applications, including the advanced electricity meters required to observe a household’s hourly consumption.     

A pseudo-panel data model of household electricity demand

We study the dynamic behaviour of household electricity consumption on the basis of four large independent surveys conducted in the province of Québec from 1989 to 2002. The latter region displays some rather unique features such as the very extensive use of electricity for space heating in a cold climate and the wide range of energy sources used to meet space heating requirements. We adopt Deaton (1985) approach to create 25 cohorts of households that form a pseudo-panel. The cohorts have on average 131 households. The model error terms allow for group heteroskedasticity and serial correlation. Short-run and long-run own and cross-price elasticities are statistically significant. Electricity and natural gas are estimated to be substitutes while electricity and fuel oil are complements, as it may occur in the Quebec context. The estimate of the income elasticity is not significant. Comparisons with related studies are provided.     

经济增长与能源消费：来自山东省的经验证据

本文运用协整分析和误差修正模型技术．探讨山东省经济增长与能源消费之间的关系。实证研究结果表明，山东省经济增长与能源消费存在长期均衡关系．并存在从经济增长到能源消费的单向因果关系；经济增长与能源消费之间的关系是非线性的，因而不能从能源消费的线性变化推测出经济增长率的变化；山东省经济受电力消费的影响较大，为了在2010年单位地区生产总值能源消耗降低20％的政策目标．山东电力消耗较高的产业必须加以调整。     

Residential energy use and conservation: Economics and demographics

Energy consumption in the residential sector offers an important opportunity for conserving resources. However, much of the current debate regarding energy efficiency in the housing market focuses on the physical and technical determinants of energy consumption, neglecting the role of the economic behavior of resident households. In this paper, we analyze the extent to which the use of gas and electricity is determined by the technical specifications of the dwelling as compared to the demographic characteristics of the residents. Our analysis is based on a sample of more than 300,000 Dutch homes and their occupants. The results indicate that residential gas consumption is determined principally by structural dwelling characteristics, such as the vintage, building type, and characteristics of the dwelling, while electricity consumption varies more directly with household composition, in particular income and family composition. Combining these results with projections on future economic and demographic trends, we find that, even absent price increases for residential energy, the aging of the population and their increasing wealth will roughly offset improvements in the energy efficiency of the building stock resulting from policy interventions and natural revitalization.     

How may a carbon tax transform Australian electricity industry? A CGE analysis

The carbon tax policy proposed by Australian government has triggered deep concerns about the high electricity prices facing households and the sustainability of electricity industry. By employing a computable general equilibrium (CGE) model and an environmentally extended Social Accounting Matrix (SAM), this article simulates the effect of Australian carbon tax on the electricity industry. The modelling results show that the wholesale electricity prices indeed increase by about 90%, but the retailer prices only increase by 25%. The coal-fired electricity generators will reduce their output by 8% (for black-coal) to 18% (for brown-coal), but the profitability of the industry will drop dramatically. On the other hand, generators using oil, gas or renewable resources, will increase their output significantly and enjoy a handsome profit. Through the price, cost and profitability mechanisms, the carbon tax will transfer the Australian electricity generation to a low emission industry in the long term.