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.     

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.     

(En-)‘lightening’ children: Assessing the impacts of access to electricity on learning achievement levels

The welfare impacts of electrification are well documented in the literature, including the effects of electricity on school enrolment. However, the spillover effects of electrification on children's achievement levels are scarce. We use three complementary but distinct econometric models to establish a causal relationship between electrification and test scores using nationally representative household panel data from India. We find positive results irrespective of the choice of econometric model, and these results seem to be mediated by changing time-use patterns of children with access to electricity. We first exploit the plausibly exogenous variation in access to electricity due to a universal electrification program in the state of West Bengal in India and we find positive effects of electrification on children's test scores. By age group, we find that younger cohorts benefit more in terms of their reading scores than older cohorts. Then, to ascertain external validity of these results, we replicate them over a nationally representative sample using fixed effects and instrumental variables estimation and find similar results. At the intensive margin, we find that access to more hours of electricity positively affects test scores. We identify an increase in time spent by children on study-related activities as the potential channel for these results.     

Limited attention in residential energy markets: a regression discontinuity approach

It is well known that limited attention affects consumption decisions, in particular, when the decision environment is complex. The objective of this study is to determine whether or not, and to what extent, limited attention is prevalent in residential energy markets. We use data on more than 10,000 randomly selected customers of a California-based utility company and examine consumption responses as measured by changes in kilowatt-hours after a bill has crossed a salient threshold. The results of a sharp regression discontinuity design indicate that consumers use significantly less electricity in a month following the receipt of a bill that crossed a given threshold, such as $50 for lower-income households, who then show a 2–4% reduction in the consumption. We find that even at the threshold, the degree of inattention is roughly 0.75, consumers still tend to ignore the actual (i.e., full) cost of energy use. As previous studies have found inattention to be related to income, we focus primarily on lower-income households. However, there is some evidence that higher-income households have a similar response at higher thresholds. Considering the urgent need to reduce greenhouse emissions and increase energy savings, our results may contribute to the design of more effective billing and feedback mechanisms for energy-end-users.     

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.     

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.     

Driving restrictions that work? Quito's Pico y Placa Program

Programs to reduce traffic congestion and air pollution by restricting use of motor vehicles on working days have generally not met with success, given existing studies of such programs. We conduct the first study of Quito, Ecuador's four‐year‐old Pico y Placa program and find that it has reduced ambient concentrations of carbon monoxide (CO), a pollutant primarily emitted by vehicles, by 9% to 11% during peak traffic hours. Given that ambient concentrations of CO generally track the spatial and temporal distributions of traffic, these reductions in pollution suggest similar reductions in vehicle flows. We find no significant evidence that traffic has shifted to other times of the day or week, or to other locations.     

Credit card debt and consumption: evidence from household-level data

This research investigates the relationship between credit card debt and consumption using household level data. This is a departure from the previous studies which have used aggregate measures of consumption and general debt such as the Debt Service Ratio or total revolving credit. We use a detailed monthly survey of credit card use to impute credit card debt to respondents from the Consumer Expenditure Survey sample. In contrast to some earlier studies using aggregate data, we find a negative relationship between debt and consumption growth. Our work shows that a $1000 increase in credit card debt results in a decrease in quarterly consumption growth of almost 2%. Investigations are also made into effects of debt within different age categories and into the impact of expected income growth on the debt–consumption relationship.     

Household Response to Optional Peak-Load Pricing of Electricity

I investigate the impacts of voluntary time-of-day (TOD) rates on residential demand for electricity. My analysis is based on a sample of a survey, which provides cross-sectional data on electricity consumption and economic/demographic features for both TOD and non-TOD households in Japan. This information is used to develop an almost ideal demand system for the TOD electricity consumption during the summer. The results show that (1) household response to the high price of the peak period is relatively modest, and (2) the relative magnitudes of the price and selection effects depend on the ownership of water heaters.     

Public Provision,Commodity Demand,and Hours of Work: An Empirical Analysis

The theoretical analysis of optimal commodity taxation is advanced, but there is only limited empirical evidence to guide commodity tax policies. With this paper, we contribute to this body of literature by empirically examining, using Finnish consumption data, the relation between working hours, consumption demand, and the use of publicly provided day care. When labour income is controlled for in a non‐parametric way, we find that capital income and housing expenses are negatively associated with working hours, whereas the use of childcare is positively correlated with working hours. These results provide arguments for taxing capital income and housing, and for subsidizing day care.     

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。     

Using real-time electricity data to estimate response to time-of-use and flat rates: an application to emissions

Using a generalized McFadden specification, we estimate the determinants of hourly response for the years 2006 through 2010 for all 16 standard retail customers who were on an optional real-time electricity rate offered by Duke Energy as of 2010, and provide a method to estimate how these customers would respond to time-of-use (TOU) and flat rates. We generalize the model to allow for inter-day response, as well as threshold prices, above which individual customer response may increase or decrease. With these inclusions, we find hourly elasticity for the group of customers to be as large as ?0.7, larger than previous studies. We apply the method to examine a recent finding that time-differentiated rates could increase electric utility emissions. However, that result did not differentiate between real-time and TOU rates, and furthermore held energy use constant in comparing flat rates and time-differentiated rates. We perform a case study to examine emissions of SO₂, NOx, Hg, and CO₂ based on predicted energy use changes as well as for an energy-neutral case for real-time, TOU and flat rates. Employing energy use predictions from the model, increased energy use results in increased emissions in almost all cases. For the energy-neutral case, time-differentiated rates increase CO₂ as compared to flat rates, and the TOU rate causes a larger increase than does real-time pricing. But both rates decrease other emissions in the majority of years, particularly SO₂ In addition, time-differentiated rates reduce NOx potency by shifting it to non-daylight hours when conditions for the formation of smog are less favorable. Our application leads to the conclusion that the effect of the rates on emissions must consider total energy use as well as the shift from peak to off-peak. Furthermore, the predictions require consideration of the generating mix at a more detailed level than was contained in previous studies.     

Is economic rebalancing toward consumption “greener”? Evidence from visibility in China, 1984–2006

The Chinese government has adopted a rebalancing strategy since 2011, shifting from an investment- to consumption-oriented growth model. An aim of this reform is for a “greener” development mode, but relevant empirical evidence is slim. In this study, we propose an innovative methodology to shed light on the environmental externalities of economic rebalancing. First, we use air visibility across China to reflect air quality during 1984–2006. Second, with the daily visibility data, we propose a weekend-effect regression model to difference out city-specific unobserved heterogeneity. Third, we approximate local consumption intensity with the portion of the residential electricity usage in the total electricity usage. To our surprise, the estimates suggest that the pollution intensity of consumption activities has not only been significant, but also exceeded that of production since the mid-1990s. Hence, rebalancing toward consumption is not necessarily more environmentally friendly according to the recent development experience of China.     

Micro versus macro consumption data: the cyclical properties of the consumer expenditure survey

The Consumer Expenditure Survey (CEX) offers the most comprehensive consumption data at the consumer level for the United States. Several previous studies have shown a large gap between per-capita consumption from the CEX and the aggregate Personal Consumption Expenditure (PCE) series. While previous research has focused on consumption levels, we focus on the cyclical properties of consumption. We find that the cyclical properties of consumption expenditure data from the two sources are quantitatively very different. This result calls for caution when using CEX data for business cycle research.     

改革开放三十年政府支出与居民消费关系的动态演变——基于时变参数模型的考察

本文利用时变参数(TVP)模型考查了改革开放三十年来,政府支出对居民消费影响水平的变化。结果显示,三十年来,我国政府支出对居民消费一直都存在着促进效应,但影响水平却经历了一个倒V型的变化;对城市居民消费的促进效应强于对农村消费的促进效应,且在两者之间的差距还在不断扩大;用于基本建设方面的财政支出对居民消费有一定的促进效应,政府行政与事业经费支出对消费具有挤出效应,而用于改善民生的支出对消费一直都保持着较高的促进效应。     

The environmental performance of firms: The role of foreign ownership, training, and experience

In this paper we extend the debate on the environmental implications of foreign direct investment in developing countries by examining a new mechanism through which foreign influence can affect the environmental performance of firms. We focus on the extent to which key workers who have had previous training or experience in a foreign owned firm transfer and utilise their knowledge gained to the benefit of the local environment. To this end we use detailed firm-level data on manufacturing firms in Ghana. Our econometric results suggest that the foreign training of a firm's decision maker does reduce fuel use, particularly so in foreign owned firms. Foreign ownership per se does not influence fuel use or total energy use but is found to increase electricity use, perhaps the cleanest form of energy used by Ghanaian firms.     

How serious is the aggregation problem? An empirical illustration

Heterogeneity in consumer behaviour may create problems with aggregation across consumers. If so, we may not be able to make correct inferences about behaviour based on aggregated data. However, using micro estimates to predict aggregate demand responses to policy changes may also create a bias if not aggregated properly. This may sound like a Catch 22 situation, but it is not, as it is possible to calculate both micro and aggregate demand responses based on microdata. The size of the aggregation bias is an empirical question. In this article, we show how to calculate theoretically consistent aggregate demand responses. We use both micro and macro data for Norwegian household electricity consumption to illustrate the magnitude and direction of different aggregation biases. We find considerable aggregation biases, in particular, when estimating with macro data.     

The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand

This paper develops a theory of voluntary provision of a public good in which a household's decision to engage in a form of environmentally friendly behavior is based on the desire to offset another behavior that is environmentally harmful. The model generates predictions about (1) participation in a green-electricity program at the extensive and intensive margins, and (2) changes in electricity consumption in response to participation. We test the theory using billing data for participants and nonparticipants in a green-electricity program in Memphis, Tennessee. High-consumption households are more likely to participate, and they participate at higher levels. In terms of a behavioral response, households participating above the minimum threshold level do not change electricity consumption, but those participating at the minimum threshold increase electricity consumption 2.5 percent after enrolling in the program. The result is based on identification strategies that exploit before–after differences between participants and nonparticipants, and differences in the timing of enrollment among participants only. Despite the increase in electricity demand upon the purchase of green electricity for the households with a “buy-in” mentality, the net effect for the buy-in households is a reduction in pollution emissions, as the behavioral response is not large enough to offset the environmental benefit of the green-electricity purchase.     

中国能源生产率的影响因素分析

This paper identifies the determinants of energy productivity based on a basic economic growth model. Using panel data including 29 provinces from 1995 to 2007, we find that energy productivity is negatively associated with the industry sector share in GDP and the state-owned sector share in GDP, and is positively associated with the electricity share in energy consumption. In addition, we find that there exists a big gap of energy efficiency among eastern, middle and western region in China. Our results suggest that we should induce the industry development structure from the industrial sector to service sector, prompt the reform of state-owned enterprises, as well as improve the energy consumption structure dominated by coal to diversified cleaning energy.      

Heterogeneous preferences and investments in energy saving measures

We investigate whether risk, time, environmental, and social preferences affect single-family homeowners’ investments in the energy efficiency of their house using established experimental measures and questionnaires. We find that homeowners who report to be more risk taking are more likely to have renovated their house. Pro-environmental and future-oriented renovators, i.e. renovators with lower discount factors, live in homes with higher energy efficiency. Pro-social preferences as measured in a dictator game relates positively to the energy quality of renovated houses. Controlling for the energy efficiency of houses, we further find that energy consumption as measured by heating and electricity costs is lower for future-oriented and pro-environmental individuals.