A structural equation model of energy consumption in the United States: Untangling the complexity of per-capita residential energy use

2015 ◽  
Vol 6 ◽  
pp. 109-120 ◽  
Author(s):  
Hossein Estiri
Keyword(s):  
United States ◽  
Energy Consumption ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Energy Use ◽  
The United States ◽  
Equation Model ◽  
Residential Energy ◽  
Residential Energy Use ◽  
Per Capita

Horizontal, Vertical, and Hybrid: An Empirical Look at the Forms of Accountability

2020 ◽  
Vol 52 (9) ◽  
pp. 1410-1438
Author(s):  
Christopher G. Reddick ◽  
Tansu Demir ◽  
Bruce Perlman
Keyword(s):  
United States ◽  
Public Administration ◽  
Structural Equation Model ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
City Managers ◽  
City Governments ◽  
Important Relationship ◽  
Survey Sample

The existing accountability research in public administration either provides conceptual analyses and definitions of forms of accountability or case studies on accountability. They focus on the structure of responsibility or responding behavior. This article is different in that it tests actors’ perceptions of the three commonly cited forms of accountability identified in the literature—vertical, horizontal, and hybrid. We test accountability on a national survey sample of city managers across the United States. Our structural equation model indicates that there is both vertical and horizontal accountability present in city governments in the United States supporting a hybrid model. The results of this study add to the literature because most of the existing research on accountability does not test this important relationship nor examine actors’ perceptions.

Intergroup tolerance leads to subjective morality, which in turn is associated with (but does not lead to) reduced religiosity

2020 ◽  
Vol 42 (2) ◽  
pp. 232-243
Author(s):  
Onurcan Yilmaz ◽  
Hasan G Bahçekapili ◽  
Mehmet Harma ◽  
Barış Sevi
Keyword(s):  
United States ◽  
Structural Equation Model ◽  
Religious Belief ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Bootstrap Analysis ◽  
Proposed Model ◽  
Two Samples ◽  
The Relationship

Although the effect of religious belief on morally relevant behavior is well demonstrated, the reverse influence is less known. In this research, we examined the influence of morality on religious belief. In the first study, we used two samples from Turkey and the United States, and specifically tested the hypothesis that intergroup tolerance predicts a shift in meta-ethical views toward subjective morality, which in turn predicts decreased religious belief. To examine the relationship between intergroup tolerance and religiosity via subjective morality, a structural equation model (SEM) was run. SEM results yielded good fit to the data for both samples. Intergroup tolerance positively predicted subjective morality, and in turn, morality negatively predicted religiosity. The bias-corrected bootstrap analysis confirmed the mediation, indicating that the association between intergroup tolerance and religious belief was mediated via subjective morality. In Study 2, we probed for the causal relationship, and the results showed that manipulating intergroup tolerance increases subjective morality, but does not influence religiosity. Therefore, we found only partial evidence for our proposed model that tolerance causally influences subjective morality, but not religiosity.

scholarly journals Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3864
Author(s):  
Qiucheng Li ◽  
Jiang Hu ◽  
Bolin Yu
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Theil Index ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
Index Method ◽  
Inequality Measures ◽  
Influencing Mechanism ◽  
Per Capita

The residential sector has become the second largest energy consumer in China. Urban residential energy consumption (URE) in China is growing rapidly in the process of urbanization. This paper aims to reveal the spatiotemporal dynamic evolution and influencing mechanism of URE in China. The spatiotemporal heterogeneity of URE during 2007–2018 is explored through Kernel density estimation and inequality measures (i.e., Gini coefficient, Theil index, and mean logarithmic deviation). Then, with several advantages over traditional index decomposition analysis approaches, the Generalized Divisia Index Method (GDIM) decomposition is employed to investigate the impacts of eight driving factors on URE. Furthermore, the national and provincial decoupling relationships between URE and residential income increase are studied. It is found that different provinces’ URE present a significant agglomeration effect; the interprovincial inequality in URE increases and then decreases during the study period. The GDIM decomposition results indicate the income effect is the main positive factor driving URE. Besides, urban population, residential area, per capita energy use, and per unit area energy consumption positively influence URE. By contrast, per capita income, energy intensity, and residential density have negative effects on URE. There is evidence that only three decoupling states, i.e., weak decoupling, strong decoupling, and expansive negative decoupling, appear in China during 2007–2018. Specifically, weak decoupling is the dominant state among different regions. Finally, some suggestions are given to speed up the construction of energy-saving cities and promote the decoupling process of residential energy consumption in China. This paper fills some research gaps in urban residential energy research and is important for China’s policymakers.

Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 69-88 ◽  
Author(s):  
EnDer Su ◽  
Thomas W. Knowles ◽  
Yu-Gin Fen
Keyword(s):  
Genetic Algorithm ◽  
Risk Factor ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Lower State ◽  
Inference System ◽  
United States Dollar

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

scholarly journals Energy Use Efficiency Past-to-Future Evaluation: An International Comparison

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3804 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thi-Duong Nguyen ◽  
Min-Chun Yu
Keyword(s):  
United States ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Demand ◽  
Energy Use ◽  
The United States ◽  
Total Energy Consumption ◽  
The Future ◽  
The Status ◽  
Energy Efficiency Evaluation

Despite the many benefits that energy consumption brings to the economy, consuming energy also leads nations to expend more resources on environmental pollution. Therefore, energy efficiency has been proposed as a solution to improve national economic competitiveness and sustainability. However, the growth in energy demand is accelerating while policy efforts to boost energy efficiency are slowing. To solve this problem, the efficiency gains in countries where energy consumption efficiency is of the greatest concern such as China, India, the United States, and Europe, especially, emerging economies, is central. Additionally, governments must take greater policy actions. Therefore, this paper studied 25 countries from Asia, the Americas, and Europe to develop a method combining the grey method (GM) and data envelopment analysis (DEA) slack-based measure model (SMB) to measure and forecast the energy efficiency, so that detailed energy efficiency evaluation can be made from the past to the future; moreover, this method can be extended to more countries around the world. The results of this study reveal that European countries have a higher energy efficiency than countries in Americas (except the United States) and Asian countries. Our findings also show that an excess of total energy consumption is the main reason causing the energy inefficiency in most countries. This study contributes to policymaking and strategy makers by sharing the understanding of the status of energy efficiency and providing insights for the future.

Sign in / Sign up

Export Citation Format

Share Document