Modeling the dependence structure of CO2 emissions and energy consumption based on the Archimedean copula approach: the case of the United States

This study explores the impact of environmental policies and human development on the CO2 emissions for the period of 1995–2015 in the Group of Seven and BRICS economies in the long run through panel cointegration and causality tests. The causality analysis revealed a bilateral causality between environmental stringency policies and CO2 emissions for Germany, Japan, the United Kingdom, and the United States of America, and a unilateral causality from CO2 emissions to the environmental stringency policies for Canada, China, and France. On the other hand, the analysis showed a bilateral causality between human development and CO2 emissions for Germany, Japan, the United Kingdom, and the United States of America, and unilateral causality from CO2 emissions to human development in Brazil, Canada, China, and France. Furthermore, the cointegration analysis indicated that both environmental stringency policies and human development had a decreasing impact on the CO2 emissions.

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Energy Consumption Analysis and Characterization of Healthcare Facilities in the United States

Energies ◽

10.3390/en12193775 ◽

2019 ◽

Vol 12 (19) ◽

pp. 3775 ◽

Cited By ~ 6

Author(s):

Khaled Bawaneh ◽

Farnaz Ghazi Nezami ◽

Md. Rasheduzzaman ◽

Brad Deken

Keyword(s):

United States ◽

Energy Consumption ◽

Energy Intensity ◽

The United States ◽

High Energy ◽

Total Energy Consumption ◽

Healthcare Facilities ◽

Energy Consumption Analysis ◽

Consumption Data ◽

End Use

Healthcare facilities in the United States account for 4.8% of the total area in the commercial sector and are responsible for 10.3% of total energy consumption in this sector. The number of healthcare facilities increased by 22% since 2003, leading to a 21% rise in energy consumption and an 8% reduction in energy intensity per unit of area (544.8 kWh/m2). This study provides an analytical overview of the end-use energy consumption data in healthcare systems for hospitals in the United States. The energy intensity of the U.S. hospitals ranges from 640.7 kWh/m2 in Zone 5 (very hot) to 781.1 kWh/m2 in Zone 1 (very cold), with an average of 738.5 kWh/m2. This is approximately 2.6 times higher than that of other commercial buildings. High energy intensity in the healthcare facilities, particularly in hospitals, along with energy costs and associated environmental concerns make energy analysis crucial for this type of facility. The proposed analysis shows that U.S. healthcare facilities have higher energy intensity than those of most other countries, especially the European ones. This necessitates the adoption of more energy-efficient approaches to the infrastructure and the management of healthcare facilities in the United States.

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Plant Biomass as a Substitute for Oil in Transportation

Energy and Climate ◽

10.1093/oso/9780190490331.003.0018 ◽

2016 ◽

Author(s):

Michael B. McElroy

Keyword(s):

United States ◽

Co2 Emissions ◽

Plant Biomass ◽

Combustion Engine ◽

Motor Fuel ◽

Energy System ◽

The United States ◽

Corporate Average Fuel Economy ◽

Transportation Sector ◽

Henry Ford

As discussed in Chapter 3, the transportation sector accounts for approximately a third of total emissions of CO2 in the United States, with a smaller fraction but a rapidly growing total in China. Combustion of oil, either as gasoline or diesel, is primarily responsible for the transportation- related emissions of both countries. Strategies to curtail overall emissions of CO2 must include plans for a major reduction in the use of oil in the transportation sector. This could be accomplished (1) by reducing demand for trans¬portation services; (2) by increasing the energy efficiency of the sector; or (3) by transitioning to an energy system less reliant on carbon- emitting sources of energy. Assuming continuing growth in the economies of both countries, option 1 is unlikely, certainly for China. Significant success has been achieved already in the United States under option 2, prompted by the application of increasingly more stringent corporate average fuel economy (CAFE) standards. And the technological advances achieved under this program are likely to find application in China and elsewhere, given the global nature of the automobile/ truck industry. The topic for discussion in this chapter is whether switching from oil to a plant- or animal- based fuel could contribute to a significant reduction in CO2 emissions from the transportation sector of either or both countries, indeed from the globe as a whole. The question is whether plant- based ethanol can substitute for gasoline and whether additional plant- and animal- derived products can cut back on demand for diesel. The related issue is whether this substitution can contribute at acceptable social and economic cost to a net reduction in overall CO2 emissions when account is taken of the entire lifecycle for production of the nonfossil alternatives. There is an extensive history to the use of ethanol as a motor fuel. Nicolas Otto, cred¬ited with the development of the internal combustion engine, used ethanol as the energy source for one of his early vehicle inventions in 1860. Henry Ford designed his first auto¬mobile, the quadricycle, to run on pure ethanol in 1896.

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The impact of natural resources, energy consumption, and population growth on environmental quality: Fresh evidence from the United States of America

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.142222 ◽

2021 ◽

Vol 754 ◽

pp. 142222

Author(s):

Irfan Khan ◽

Fujun Hou ◽

Hoang Phong Le

Keyword(s):

United States ◽

Energy Consumption ◽

Population Growth ◽

Natural Resources ◽

Environmental Quality ◽

United States Of America ◽

The United States ◽

The Impact

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Excessive Energy for Food Distribution Associated with Food Seizures1,2

Journal of Food Protection ◽

10.4315/0362-028x-44.1.47 ◽

1981 ◽

Vol 44 (1) ◽

pp. 47-54

Author(s):

NAN UNKLESBAY

Keyword(s):

United States ◽

Energy Consumption ◽

Nutrient Content ◽

Developed Countries ◽

The United States ◽

Food Distribution ◽

Nutrient Ratios ◽

Human Consumption ◽

Energy Usage ◽

Distribution Mode

Energy expended to distribute food shipments during a 2-year period to, and within, the United States before their seizure was documented for four distribution modes: ship, truck, train and air. The food shipments were described according to their wholesale value, energy usage per distribution mode, nutrient content, energy/nutrient ratios and violation code(s) of the Food, Drug and Cosmetic Act. Results were used to illustrate how this type of study could be used as an administrative tool to develop strategies for avoiding excessive energy consumption during food distribution. Recommendations were made for collecting further data to facilitate reductions in the amount of energy used to distribute human food. Finally, rather ethical questions were raised about the problem of purchasing protein foods from less-developed countries; using energy to distribute them to the United States when they are subsequently declared unfit for human consumption.

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Reviewing the complexity of energy behavior: Technologies, analytical traditions, and household energy consumption data in the United States

Energy Research & Social Science ◽

10.1016/j.erss.2019.101289 ◽

2020 ◽

Vol 59 ◽

pp. 101289 ◽

Cited By ~ 7

Author(s):

Lazarus Adua

Keyword(s):

United States ◽

Energy Consumption ◽

The United States ◽

Household Energy ◽

Household Energy Consumption ◽

Consumption Data ◽

Energy Behavior

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Does Economic Policy Uncertainty Affect CO2 Emissions? Empirical Evidence from the United States

Sustainability ◽

10.3390/su12219108 ◽

2020 ◽

Vol 12 (21) ◽

pp. 9108 ◽

Cited By ~ 1

Author(s):

Qing Wang ◽

Kefeng Xiao ◽

Zhou Lu

Keyword(s):

United States ◽

Economic Policy ◽

Co2 Emissions ◽

Structural Breaks ◽

Unit Root Test ◽

The United States ◽

Policy Uncertainty ◽

Energy Prices ◽

Economic Policy Uncertainty ◽

Long Run

This paper aims to examine the effects of economic policy uncertainty (measured by the World Uncertainty Index—WUI) on the level of CO2 emissions in the United States for the period from 1960 to 2016. For this purpose, we consider the unit root test with structural breaks and the autoregressive-distributed lag (ARDL) model. We find that the per capita income promotes CO2 emissions in the long run. Similarly, the WUI measures are positively associated with CO2 emissions in the long run. Energy prices negatively affect CO2 emissions both in the short run and the long run. Possible implications of climate change are also discussed.

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