scholarly journals Electricity Demand and the Impact of Pricing Reform: An Analysis with Household Expenditure Data

2014 ◽  
Vol 23 (3) ◽  
pp. 409-434 ◽  
Author(s):  
Oh-Sang Kwon ◽  
Hye-Jung Kang ◽  
Yong-Gun Kim
2013 ◽  
Vol 18 (Special Edition) ◽  
pp. 161-182
Author(s):  
Fahd Rehman ◽  
Russel J. Cooper

Engel’s Law states that the share of food in household expenditure declines with households’ total expenditure—a regularity that is clearly evident in Pakistani household income and expenditure data. This study uses an “Engel curve” to incorporate additional social effects—including the impact of education on welfare—to infer the differential impact of education on measures of household wellbeing across income groups and provinces. Our Engel curve specifications close the gap between economic theory and empirical applications critical to evaluating the effects of education on economic wellbeing. The results show that net primary and matriculation education enrolment ratios can bring about a significant improvement in people’s welfare. Accordingly, there is a need to specifically redirect resources to Balochistan where access to educational opportunities is rather low; and to increase access to such opportunities in Sindh and Khyber Pakhtunkhwa. Data for the period 2008–11 shows that households in the two lowest income groups are worst off in terms of access to educational opportunities. Efforts should thus be stepped up to enhance their access to educational opportunities at the primary and matriculation levels. The study’s predictions are intended to guide policymakers in terms of where to concentrate their efforts and reduce economic distortions, and move the economy onto a sustainable path in the long run.


BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e039211
Author(s):  
Triasih Djutaharta ◽  
Nachrowi Djalal Nachrowi ◽  
Aris Ananta ◽  
Drajat Martianto

ObjectiveTo examine the impact of cigarette price and smoking environment on allocation of household expenditure and its implication on nutrition consumption.DesignA cross-sectional study was conducted using the 2014 National Socioeconomic Survey (SUSENAS), the 2014 Village Potential Survey (PODES) and the 2013 Basic National Health Survey (RISKESDAS). SUSENAS and PODES data were collected by the Central Bureau of Statistics. RISKESDAS was conducted by National Institute of Health Research and Development (Balitbangkes), Indonesian Ministry of Health (MOH).Setting and participantsThe sample covered all districts in Indonesia; with sample size of 285 400 households. These households are grouped into low, medium and high smoking prevalence districts.Primary and secondary outcome measuresThe impact of cigarette price and smoking environment on household consumption of cigarette, share of eight food groups, as well as calorie and protein intake.Result1% increase in cigarette price will increase the cigarette budget share by 0.0737 points and reduce the budget share for eggs/milk, prepared food, staple food, nuts, fish/meat and fruit, from 0.0200 points (eggs/milk) up to 0.0033 points (fruit). Reallocation of household expenditure brings changes in food composition, resulting in declining calorie and protein intake. A 1% cigarette price increase reduces calorie and protein intake as much as 0.0885% and 0.1052%, respectively. On the other hand, existence of smoke-free areas and low smoking prevalence areas reduces the household budget for cigarettes.ConclusionA pricing policy must be accompanied by non-pricing policies to reduce cigarette budget share.


Author(s):  
Dongsu Kim ◽  
Heejin Cho ◽  
Rogelio Luck

This study evaluates potential aggregate effects of net-zero energy building (NZEB) implementations on the electrical grid in simulation-based analysis. Many studies have been conducted on how effective NZEB designs can be achieved, however the potential impact of NZEBs have not been explored sufficiently. As significant penetration of NZEBs occurs, the aggregated electricity demand profile of the buildings on the electrical grid would experience dramatic changes. To estimate the impact of NZEBs on the electrical grid, a simulation-based study of an office building with a grid-tied PV power generation system is conducted. This study assumes that net-metering is available for NZEBs such that the excess on-site PV generation can be fed to the electrical grid. The impact of electrical energy storage (EES) within NZEBs on the electrical grid is also considered in this study. Finally, construction weighting factors of the office building type in U.S. climate zones are used to estimate the number of national office buildings. In order to consider the adoption of NZEBs in the future, this study examines scenarios with 20%, 50%, and 100% of the U.S. office building stock are composed of NZEBs. Results show that annual electricity consumption of simulated office buildings in U.S. climate locations includes the range of around 85 kWh/m2-year to 118 kWh/m2-year. Each simulated office building employs around 242 kWp to 387 kWp of maximum power outputs in the installation of on-site PV power systems to enable NZEB balances. On a national scale, the daily on-site PV power generation within NZEBs can cover around 50% to 110% of total daily electricity used in office buildings depending on weather conditions. The peak difference of U.S. electricity demand typically occurs when solar radiation is at its highest. The peak differences from the actual U.S. electricity demand on the representative summer day show 9.8%, 4.9%, and 2.0% at 12 p.m. for 100%, 50%, and 20% of the U.S. NZEB stocks, respectively. Using EES within NZEBs, the peak differences are reduced and shifted from noon to the beginning of the day, including 7.7%, 3.9%, and 1.5% for each percentage U.S. NZEB stock. NZEBs tend to create the significant curtailment of the U.S. electricity demand profile, typically during the middle of the winter day. The percentage differences at a peak point (12 p.m.) are 8.3%, 4.2%, and 1.7% for 100%, 50%, and 20% of the U.S. NZEB stocks, respectively. However, using EES on the representative winter day can flatten curtailed electricity demand curves by shifting the peak difference point to the beginning and the late afternoon of the day. The shifted peak differences show 7.4%, 3.7%, and 1.5% at 9 a.m. for three U.S. NZEB stock scenarios, respectively.


2015 ◽  
Vol 12 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Jamal Bouoiyour ◽  
Amal Miftah

This article attempts to assess empirically the impact of remittances on household expenditure and relative poverty in Morocco. We apply propensity score matching methods to the 2006/2007 Moroccan Living Standards Measurement Survey. We find that migrants’ remittances can improve living standards among Moroccan households and affect negatively the incidence of poverty. The results show a statistically significant and positive impact of hose remittances on recipient households’ expenditures. They are also significantly associated with a decline in the probability of being in poverty for rural households; it decreases by 11.3 percentage points. In comparison, this probability decreases by 3 points in urban area.  


2017 ◽  
Vol 46 (3) ◽  
pp. 579-602
Author(s):  
Sharon Poczter

While access to reliable electricity can significantly constrain industrial production, little is known as to how unreliability impacts firm level productivity. This is a particularly salient issue for firms in developing countries, where electricity provision is still unreliable and self-generation is costly. This paper analyzes the impact of electricity provision on productivity, instrumenting for electricity demand with district level solar irradiance. Results indicate that firms exhibit decreasing productivity in the initial stages of electricity adoption that decreases over time. Furthermore, I find that unreliability negatively impacts productivity initially and over time, and this effect is larger for smaller firms.


2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.


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