scholarly journals Saudi Non-oil Exports Before and After COVID-19: Historical Impacts of Determinants and Scenario Analysis.

2021 ◽  
Author(s):  
Fakhri Hasanov ◽  
Fred Joutz ◽  
Muhammad Javid
Keyword(s):  
State Of The Art ◽  
Modeling Framework ◽  
Demand And Supply ◽  
Oil Exports ◽  
Before And After ◽  
Oil Export ◽  
Vision 2030 ◽  
Oil Sector ◽  
Modeling Strategy ◽  
Specific Modeling

The diversification of the non-oil sector, including its exports, is at the core of Saudi Vision 2030. This study investigates Saudi non-oil exports in a novel way. Specifically, it differs from previous studies on this topic owing to its modeling framework. This study’s modeling framework first estimates the non-oil export equation, which allows us to examine the historical impacts of theoretically articulated demand- and supply-side determinants on non-oil exports. This is done using Autometrics, a state-of-the-art algorithm for computer-automated model selection in the general-to-specific modeling strategy framework, with super saturation.

scholarly journals Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service

2021 ◽  
pp. 036119812199714
Author(s):  
Gabriel Wilkes ◽  
Roman Engelhardt ◽  
Lars Briem ◽  
Florian Dandl ◽  
Peter Vortisch ◽  
...  
Keyword(s):  
Real Time ◽  
Travel Demand ◽  
State Of The Art ◽  
Choice Model ◽  
Mode Choice ◽  
Attractive Alternative ◽  
Full Potential ◽  
Demand Model ◽  
Modeling Framework ◽  
Demand And Supply

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

scholarly journals An analysis of the impact of non-oil exports on economic growth: Evidence from Nigeria

2020 ◽  
Vol 2 (1) ◽  
pp. 15-23
Author(s):  
Lawali Bello Zoramawa ◽  
Machief Paul Ezekiel ◽  
Salisu Umar
Keyword(s):  
Economic Growth ◽  
Global Market ◽  
Agricultural Export ◽  
Long Run ◽  
Oil Exports ◽  
Oil Export ◽  
Oil Sector ◽  
The Impact ◽  
Bound Test ◽  
Ardl Bound Test

The study assessed the contribution of the non-oil sector to the economic growth in Nigeria between the periods 1981 and 2019. The study employed the ARDL bound test for cointegration to analyze the direction among the variables under review. The results of the analysis revealed that there is a negative and statistically significant relationship between non-oil exports (NOE) and economic growth (RGDP) in Nigeria during the period under investigation in the long-run for Manufacturing (MANX), solid mineral(SOLX) except for Agricultural export (AGRX). There is also a bidirectional causal relationship between non-oil exports and economic growth in Nigeria during the same period. The study, therefore recommended that the Nigerian government and other stakeholders should make a country’s non-oil export commodities more attractive and competitive in the global market which will prompt the demand for Nigeria’s non-oil goods at the international market.  Keywords: Non-Oil exports, Economic Growth,

Libyan oil exports will remain hostage to conflict

2020 ◽  
Keyword(s):  
Oil Production ◽  
Military Leader ◽  
Content Type ◽  
International Support ◽  
Oil Exports ◽  
Oil Export ◽  
Budget Crisis ◽  
Oil Sector ◽  
The Government

Significance In January, eastern-based military leader Khalifa Haftar forced the closure of oil export terminals in the Gulf of Sirte, causing oil production and exports to plummet by 80-90%. The retreat of Haftar’s forces from western Libya as units supporting the Government of National Accord (GNA) advance towards Sirte raises questions about how control of the hydrocarbons sector will evolve. Impacts Some increases in oil exports are likely, but they may be short-lived. If oil exports do not rise this year, fears of a budget crisis will grow. The NOC is unlikely to support the GNA trying to use more oil sector promises to mobilise international support, for example from Turkey.

scholarly journals Entrepreneurial Productivity: Sectoral Contribution To The GDP Of A Developing Economy

2010 ◽  
Vol 9 (7) ◽  
Author(s):  
Prince C. Nwakanma ◽  
Hudson Nwakanma ◽  
Gail Thompkins
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Production ◽  
Production Capacity ◽  
Capacity Utilization ◽  
Developing Economy ◽  
Oil Exports ◽  
Industrial Service ◽  
Oil Export ◽  
Oil Sector ◽  
Financial Environment

Using macroeconomic data for the period 1992-2004, this paper applies Granger’s causality adjusted regression model to examine the sectoral contribution to the gross domestic product, as a proxy for entrepreneurial productivity in Nigeria. The study found that only agricultural production and industrial/service output Granger caused changes in GDP, whereas oil production, capacity utilization and non-oil exports had no causality with GDP. The study concludes that oil output and non-oil exports are not significantly contributing to the economy and manufacturing capacity is grossly underutilized. The study recommends increased promotion of non-oil export; an improved operating financial environment; and, greater Nigerian content in the oil sector for increased entrepreneurial productivity. 

scholarly journals IMPACT OF FOREIGN DIRECT INVESTMENT ON EXPORT SECTOR IN NIGERIA (1981-2018)

2020 ◽  
pp. 19-24
Author(s):  
Edeh, Chukwudi Emmanuel ◽  
Obi, Cyril Ogugua ◽  
Mbaeri, Clara Ndidiamaka ◽  
Ebite Ogochukwu Njideka
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Linear Equations ◽  
Series Data ◽  
Cent Increase ◽  
Oil Export ◽  
Oil Sector ◽  
The Government ◽  
The Impact

The objective of the study is to examine the impact of FDI on exports in Nigeria for the period 1981-2018. Specifically, two linear equations were formulated to trace the impact of FDI on oil sector and non-oil sector. The explanatory variables in the study were exchange rate, GDP, degree of openness, FDI, and inflation. The ADF technique was used to test for the stationarity of the time series data. The results of the Error Correction models reveal that there is a positive and significant (P(FDI) = 0.000) relationship between FDI and oil export in Nigeria. One per cent increase in FDI leads to 0.47 per cent increase in oil export over the period under study. There is a positive and significant (P(FDI) = 0.005) relationship between FDI and non-oil export in Nigeria. One per cent increase in FDI leads to 0.31 per cent increase in non-oil export over the period under study. The impact of FDI on the oil export is higher than the non-oil sector by 0.16 per cent. The study recommends for more aggressive policies to attract FDI in the oil sector to be pursued by the government. Obstacles to doing business in Nigeria should be removed. KEYWORDS: Foreign direct investment, oil export, non-oil export

scholarly journals “Shale Revolution” in the United States as the Main Driver of the World Oil Market Transformation

2019 ◽  
Vol 12 (6) ◽  
pp. 71-93
Author(s):  
S. A. Zolina ◽  
I. A. Kopytin ◽  
O. B. Reznikova
Keyword(s):  
United States ◽  
Crude Oil ◽  
Oil Production ◽  
The United States ◽  
Oil Price ◽  
Oil Market ◽  
Oil Exports ◽  
The World ◽  
Oil Sector ◽  
The U.S

In 2018 the United States surpassed Saudi Arabia and Russia to become the largest world oil producer. The article focuses on the mechanisms through which the American shale revolution increasingly impacts functioning of the world oil market. The authors show that this impact is translated to the world oil market mainly through the trade and price channels. Lifting the ban on crude oil exports in December 2015 allowed the United States to increase rapidly supply of crude oil to the world oil market, the country’s share in the world crude oil exports reached 4,4% in 2018 and continues to rise. The U.S. share in the world petroleum products exports, on which the American oil sector places the main stake, reached 18%. In parallel with increasing oil production the U.S. considerably shrank crude oil import that forced many oil exporters to reorient to other markets. Due to high elasticity of tight oil production to the oil price increases oil from the U.S. has started to constrain the world oil price from above. According to the majority of authoritative forecasts, oil production in the U.S. will continue to increase at least until 2025. Since 2017 the tendency to the increasing expansion of supermajors into American unconventional oil sector has become noticeable, what will contribute to further strengthening of the U.S. position in the world oil market and accelerate its restructuring.  

On the Privacy and Utility of Anonymized Social Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 1-34 ◽  
Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras
Keyword(s):  
Social Networks ◽  
Social Media ◽  
State Of The Art ◽  
Social Groups ◽  
Trade Off ◽  
Private Lives ◽  
The Social ◽  
Before And After ◽  
Do So

One is either on Facebook or not. Of course, this assessment is controversial and its rationale arguable. It is nevertheless not far, for many, from the reason behind joining social media and publishing and sharing details of their professional and private lives. Not only the personal details that may be revealed, but also the structure of the networks are sources of invaluable information for any organization wanting to understand and learn about social groups, their dynamics and members. These organizations may or may not be benevolent. It is important to devise, design and evaluate solutions that guarantee some privacy. One approach that reconciles the different stakeholders’ requirement is the publication of a modified graph. The perturbation is hoped to be sufficient to protect members’ privacy while it maintains sufficient utility for analysts wanting to study the social media as a whole. In this paper, the authors try to empirically quantify the inevitable trade-off between utility and privacy. They do so for two state-of-the-art graph anonymization algorithms that protect against most structural attacks, the k-automorphism algorithm and the k-degree anonymity algorithm. The authors measure several metrics for a series of real graphs from various social media before and after their anonymization under various settings.

scholarly journals Crowd-assessing quality in uncertain data linking datasets

2020 ◽  
Vol 35 ◽  
Author(s):  
Daniel Faria ◽  
Alfio Ferrara ◽  
Ernesto Jiménez-ruiz ◽  
Stefano Montanelli ◽  
Catia Pesquita
Keyword(s):  
State Of The Art ◽  
Uncertain Data ◽  
Reference Alignment ◽  
Quality Of Data ◽  
Real Experiment ◽  
Before And After

Abstract The quality of a dataset used for evaluating data linking methods, techniques, and tools depends on the availability of a set of mappings, called reference alignment, that is known to be correct. In particular, it is crucial that mappings effectively represent relations between pairs of entities that are indeed similar due to the fact that they denote the same object. Since the reliability of mappings is decisive in order to perform a fair evaluation of automatic linking methods and tools, we call this property of mappings as mapping fairness. In this article, we propose a crowd-based approach, called Crowd Quality (CQ), for assessing the quality of data linking datasets by measuring the fairness of the mappings in the reference alignment. Moreover, we present a real experiment, where we evaluate two state-of-the-art data linking tools before and after the refinement of the reference alignment based on the CQ approach, in order to present the benefits deriving from the crowd assessment of mapping fairness.

scholarly journals Comparison of Above-Water Seabird and TriOS Radiometers along an Atlantic Meridional Transect

2020 ◽  
Vol 12 (10) ◽  
pp. 1669
Author(s):  
Krista Alikas ◽  
Viktor Vabson ◽  
Ilmar Ansko ◽  
Gavin H. Tilstone ◽  
Giorgio Dall’Olmo ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ocean Color ◽  
Percentage Difference ◽  
Wide Range ◽  
Before And After ◽  
Reference Measurements ◽  
Satellite Ocean Color ◽  
Good Agreement

The Fiducial Reference Measurements for Satellite Ocean Color (FRM4SOC) project has carried out a range of activities to evaluate and improve the state-of-the-art in ocean color radiometry. This paper described the results from a ship-based intercomparison conducted on the Atlantic Meridional Transect 27 from 23rd September to 5th November 2017. Two different radiometric systems, TriOS-Radiation Measurement Sensor with Enhanced Spectral resolution (RAMSES) and Seabird-Hyperspectral Surface Acquisition System (HyperSAS), were compared and operated side-by-side over a wide range of Atlantic provinces and environmental conditions. Both systems were calibrated for traceability to SI (Système international) units at the same optical laboratory under uniform conditions before and after the field campaign. The in situ results and their accompanying uncertainties were evaluated using the same data handling protocols. The field data revealed variability in the responsivity between TRiOS and Seabird sensors, which is dependent on the ambient environmental and illumination conditions. The straylight effects for individual sensors were mostly within ±3%. A near infra-red (NIR) similarity correction changed the water-leaving reflectance (ρw) and water-leaving radiance (Lw) spectra significantly, bringing also a convergence in outliers. For improving the estimates of in situ uncertainty, it is recommended that additional characterization of radiometers and environmental ancillary measurements are undertaken. In general, the comparison of radiometric systems showed agreement within the evaluated uncertainty limits. Consistency of in situ results with the available Sentinel-3A Ocean and Land Color Instrument (OLCI) data in the range from (400…560) nm was also satisfactory (−8% < Mean Percentage Difference (MPD) < 15%) and showed good agreement in terms of the shape of the spectra and absolute values.

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