scholarly journals The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies

Risks ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 130
Author(s):  
Manuel Monge ◽  
Luis A. Gil-Alana
Keyword(s):  
Term Structure ◽  
Urban Areas ◽  
Transport Sector ◽  
Transportation Industry ◽  
Oil Companies ◽  
Long Run ◽  
Time Period ◽  
Energy Inputs ◽  
Strategic Role ◽  
Beta Risk

According to a statement made in the BP Energy Outlook report in 2017, most of the world’s liquid fuel (petroleum) is being consumed by the transportation industry. The mechanisms used to stimulate changes in the energy markets are affected by government policies that act in more ambitious ways than purely market-driven forces; different governments have promoted incentives involving electric mobility, especially in urban areas. The substitution for crude oil by renewable energy inputs in the transport sector is a major concern for oil producers. Among the different types of clean energies, lithium (Li) is currently assuming an increasingly strategic role. The goals of this paper are two-fold: First, we study the dynamics of the lithium industry and then the beta risk behavior of the 10 largest oil companies in the world for the time period between 11 February 2008 and 10 January 2019. We use an approach based on the continuous wavelet transform (CWT) method. The results indicate that there is a period of dependence between late 2013 and 2016 that occurs in the long-run frequencies of between 32 and 198 days for all cases, except for in the case of PetroChina, thereby demonstrating that the beta term is time-varying. We also find evidence that the beta term reflects and advances oil companies’ responsiveness to movements in the lithium market. In the second part of the paper, we study the dynamics of the beta series by using long-run dependence approaches. The results indicate that the betas are highly persistent, with the order of integration found to be significantly above 1 in all cases.

scholarly journals CO2 Emissions and The Transport Sector in Malaysia

2022 ◽  
Vol 9 ◽  
Author(s):  
Saeed Solaymani
Keyword(s):  
Urban Areas ◽  
Sustainable Urban Development ◽  
Transport Sector ◽  
Carbon Intensity ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Distributed Lag ◽  
Long Run ◽  
Transport Worker ◽  
Low Carbon Technologies

Transport is an essential infrastructure for development. With its high share of gross domestic product (GDP), it makes a significant contribution to total CO2 emissions in Malaysia. It is therefore important to pay greater attention to reducing CO2 emissions and sustainable development in this sector. Therefore, this study aims at estimating the relationship between transport CO2 emissions and its key drivers using the Autoregressive Distributed Lag (ARDL) technique. The time period covered by the study extends from 1978 to 2018. It further investigates the response of CO2 emissions to shocks in the value of other variables by employing the generalized impulse response approach. The results suggest that urbanization is the major contributor to the increase in CO2 emissions followed by the carbon intensity of energy in the long-run. Carbon intensity of energy, GDP per transport worker and urbanization contribute significantly to increases in transport CO2 emissions in the short- and long-run. Testing the Environmental Kuznets Curve (EKC) hypothesis recommends that Malaysia continue to be on track to reach the highest level of income and welfare to give pay more attention to the environment. Therefore, the country maintains its CO2 emissions level in the future because of economic development. Therefore, these findings show that energy and environmental policymakers need to pay more attention to improving energy efficiency and the use of low-carbon technologies and electrification in the transport sector and the use of high-quality public transport, particularly in urban areas, for sustainable urban development.

Urban Transport

2018 ◽  
Author(s):  
José van
Keyword(s):  
Urban Areas ◽  
Urban Transport ◽  
Transport Sector ◽  
Public And Private ◽  
Transport Services ◽  
Ride Sharing ◽  
The World ◽  
Private And Public ◽  
Selection Mechanisms

Platformization affects the entire urban transport sector, effectively blurring the division between private and public transport modalities; existing public–private arrangements have started to shift as a result. This chapter analyzes and discusses the emergence of a platform ecology for urban transport, focusing on two central public values: the quality of urban transport and the organization of labor and workers’ rights. Using the prism of platform mechanisms, it analyzes how the sector of urban transport is changing societal organization in various urban areas across the world. Datafication has allowed numerous new actors to offer their bike-, car-, or ride-sharing services online; selection mechanisms help match old and new complementors with passengers. Similarly, new connective platforms are emerging, most prominently transport network companies such as Uber and Lyft that offer public and private transport options, as well as new platforms offering integrated transport services, often referred to as “mobility as a service.”

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

scholarly journals Transformative Urban Changes of Beijing in the Decade of the 2000s

2020 ◽  
Vol 12 (4) ◽  
pp. 652
Author(s):  
Alessandro Sorichetta ◽  
Son V. Nghiem ◽  
Marco Masetti ◽  
Catherine Linard ◽  
Andreas Richter
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Rapid Economic Growth ◽  
Time Period ◽  
Development Policies ◽  
Decadal Trend ◽  
Scanning Imaging ◽  
Seawinds Scatterometer ◽  
The Impact ◽  
Dense Sampling

The rapid economic growth, the exodus from rural to urban areas, and the associated extreme urban development that occurred in China in the decade of the 2000s have severely impacted the environment in Beijing, its vicinity, and beyond. This article presents an innovative approach for assessing mega-urban changes and their impact on the environment based on the use of decadal QuikSCAT (QSCAT) satellite data, acquired globally by the SeaWinds scatterometer over that period. The Dense Sampling Method (DSM) is applied to QSCAT data to obtain reliable annual infrastructure-based urban observations at a posting of ~1 km. The DSM-QSCAT data, along with different DSM-based change indices, were used to delineate the extent of the Beijing infrastructure-based urban area in each year between 2000 and 2009, and assess its development over time, enabling a physical quantification of its urbanization which reflects the implementation of various development policies during the same time period. Eventually, as a proxy for the impact of Beijing urbanization on the environment, the decadal trend of its infrastructure-based urbanization is compared with that of the corresponding tropospheric nitrogen dioxide (NO2) column densities as observed from the Global Ozone Monitoring Experiment (GOME) instrument aboard the second European Remote Sensing satellite (ERS-2) between 2000 and 2002, and from the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY aboard of the ESA’s ENVIronmental SATellite (SCIAMACHY /ENVISAT) between 2003 and 2009. Results reveal a threefold increase of the yearly tropospheric NO2 column density within the Beijing infrastructure-based urban area extent in 2009, which had quadrupled since 2000.

Income convergence in Europe: Catching up or falling behind?

2012 ◽  
Vol 62 (2) ◽  
pp. 183-204 ◽  
Author(s):  
Megan Czasonis ◽  
Michael Quinn
Keyword(s):  
European Countries ◽  
Eastern European ◽  
The European Union ◽  
Income Convergence ◽  
Euro Zone ◽  
Long Run ◽  
Time Period ◽  
Eastern European Countries ◽  
Time Frames ◽  
The Eu

One of the motivations for a country to join the European Union is the belief that this will boost short- and long-run incomes. Researchers have tested the hypothesis of income convergence in different settings using either regression or unit root analysis, with mixed results. In this paper, we use both methods on the same samples over a significant time period. This allows us to judge differences in results across varied time-frames and methodologies. The focus of these tests is on convergence to German and EMU average incomes by Eastern European countries and those within the Euro-zone from 1971–2007. The evidence for convergence is mixed. Among the Euro-zone countries, there is more evidence of convergence in the 1970s and 1980s than recently. There is significant evidence that Eastern Europe experienced convergence and that capital formation was one of the root causes. While the results do not support the hypothesis that joining the EU increases convergence, reforms undertaken in the 1990s by Eastern European countries in preparation for joining may have helped them to “catch up”, even if the act of joining the EU did not directly impact convergence.

ON THE CONSUMPTION/DISTRIBUTION THEOREM UNDER THE LONG-RUN GROWTH CRITERION SUBJECT TO A DRAWDOWN CONSTRAINT

2010 ◽  
Vol 13 (06) ◽  
pp. 931-957 ◽  
Author(s):  
MICHAEL J. KLASS ◽  
KRZYSZTOF NOWICKI
Keyword(s):  
Growth Rate ◽  
Short Term ◽  
Long Run ◽  
Time Period ◽  
Total Capital ◽  
Growth Criterion ◽  
Drawdown Constraint ◽  
Riskless Asset ◽  
Distribution Theorem

Consider any discrete time sequence of investment fortunes Fn which has a finite long-run growth rate [Formula: see text] when subject to the present value capital drawdown constraint Fne-rn ≥ λ* max 0≤k≤nFke-rk, where 0 ≤ λ* < 1, in the presence of a riskless asset affording a return of er dollars per time period per dollar invested. We show that money can be withdrawn for consumption from the invested capital without either reducing the long-run growth rate of such capital or violating the drawdown constraint for our capital sequence, while simultaneously increasing the amount of capital withdrawn for consumption at the identical long-term rate of V(r, λ*). We extend this result to an exponentially increasing number of consumption categories and discuss how additional yearly contributions can temporarily augment the total capital under management. In addition, we assess the short-term practicality of creating such an endowment/consumption/distribution program.

Investor Information, Long-Run Risk, and the Term Structure of Equity

2014 ◽  
Vol 28 (3) ◽  
pp. 706-742 ◽  
Author(s):  
Mariano M. Croce ◽  
Martin Lettau ◽  
Sydney C. Ludvigson
Keyword(s):  
Term Structure ◽  
Long Run ◽  
Long Run Risk

Urban Transportation Planning for Air Quality Management: Case Study in Delhi, India, of Role of Social and Economic Costs in Welfare Maximization of Mobility Choice

2002 ◽  
Vol 1817 (1) ◽  
pp. 42-49 ◽  
Author(s):  
Karolin Kokaz ◽  
Peter Rogers
Keyword(s):  
Air Pollution ◽  
Growth Rates ◽  
Urban Areas ◽  
Travel Demand ◽  
Urban Air Pollution ◽  
Sustainable Transportation ◽  
Transport Sector ◽  
Large Cities ◽  
Environmental Goals ◽  
Management Case Study

Recent economic expansion and population growth in developing countries have had a big impact on the development of large cities like Delhi, India. Accompanied by Delhi’s rapid spatial growth over the last 25 years, urban sprawl has contributed to increased travel. The vehicle fleet projected at current growth rates will result in more than 13 million vehicles in Delhi in 2020. Planning and managing such a rapidly growing transport sector will be a challenge. Choices made now will have effects lasting well into the middle of the century. With such rapid transport growth rates, automobile emissions have become the fastest increasing source of urban air pollution. In India, most urban areas, including Delhi, already have major air pollution problems that could be greatly exacerbated if growth of the transport sector is managed unwisely. The transport plans designed to meet such large increases in travel demand will have to emphasize the movement of people, not vehicles, for a sustainable transportation system. Therefore, a mathematical model was developed to estimate the optimal transportation mix to meet this projected passenger-km demand while satisfying environmental goals, reducing congestion levels, and improving system and fuel efficiencies by exploiting a variety of policy options at the minimum overall cost or maximum welfare from transport. The results suggest that buses will continue to satisfy most passenger transport in the coming decades, so planning done in accordance with improving bus operations is crucial.

Coördinatie tussen individuen en tussen teams: over het belang van inzicht in sociale dilemma's

2004 ◽  
Vol 17 (3) ◽  
Author(s):  
Marjolein de Best-Waldhober ◽  
Carsten K.W. De Dreu ◽  
Daan van Knippenberg
Keyword(s):  
Term Structure ◽  
Social Dilemmas ◽  
Social Dilemma ◽  
The Other ◽  
Long Run ◽  
Self Interest ◽  
Turn Taking ◽  
Group Negotiation

Coordination between individuals and between teams: the importance of insight in social dilemmas Coordination between individuals and between teams: the importance of insight in social dilemmas Marjolein de Best-Waldhober, Carsten K.W. De Dreu & Daan van Knippenberg, Gedrag & Organisatie, Volume 17, June 2004, nr. 3, pp. 187-203. In the context of a social dilemma, in which turn taking serves collective outcomes and only in the long run self-interest and personal outcomes, we studied long-term coordination, i.e. the alternation of sacrifice to achieve maximum joint outcomes. In particular, we studied the differences between individuals and dyads (two person groups) in coordination situations. Recent studies that compared individual with group negotiation seem to lead to opposite predictions. One paradigm predicts groups will perform better, because they outweigh individuals cognitively. The other paradigm predicts individuals will perform better, because they tend to have less fear and greed than groups. Results from the current study primarily support the first explanation. Dyads were less influenced by the complexity of the situation structure than individuals, because they have a better understanding of the long term structure of the situation.

Developing physical resilience strategies in passive defense according to identification of endangered areas of urban environments (case study: Ahvaz city)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mozhdeh Pouryarmohammadi ◽  
Hasan Ahmadi ◽  
AliAkbar Salaripour
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Urban Form ◽  
Urban Areas ◽  
Quality Function Deployment ◽  
Quantitative Methods ◽  
City Centre ◽  
Urban Resilience ◽  
Content Type ◽  
Oil Companies

Purpose This paper aims to focus on reducing the vulnerability of Ahvaz city against urban disasters and lowering the number of casualties and amount of financial losses using modern approaches to develop resilience strategies that can increase urban safety to an acceptable level. The strategic situation of Ahvaz city, because of its abundant resources, the war experience and its location on the boundary regions of Iran, highlights its significance. Ahvaz has a high population and an extended texture, and the existence of extraordinary constructions increases the importance of physical resilience in this city. Design/methodology/approach The present study investigates built environment aspects such as the urban structure, the urban form, land-use proximity pattern, urban road network and crucial and vulnerable centres in Ahvaz, using a combination of qualitative and quantitative methods. Hence, the areas at risk in Ahvaz were identified and illustrated in a comprehensive risk assessment map, and then, by using the strengths, weaknesses, opportunities and threats technique and finally by using the Delphi method, some strategies and plans were presented to reduce the level of vulnerability in Ahvaz. Then, these strategies are prioritized by applying quality function deployment (QFD) technique. Findings The risk assessment result shows that most parts of Ahvaz’s urban areas are highly at risk. The central and northern parts of Ahvaz have the highest vulnerability at a time of crisis. These zones include district 1 (city centre) and districts 2, 3 and 7 at the city’s margins. The result of QFD process showed that the essential urban resilience strategy is to positively consider the passive defence studies with a physical resilience approach. Also, the proper distribution of strategic points in the city, moving the industrial and oil companies from the peripheral area, and facilitating access to vital, crucial centres to support urban regions are considered the most effective strategic plans. Originality/value This paper, with an integrated approach, examines and prioritizes the main physical problems of Ahvaz city based on the spatial analysis and opinions of experts. The physical strategies presented in this paper can significantly reduce the risks and increase the urban resilience of Ahvaz city in the face of crisis.

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