16,049 research outputs found
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Optimal Production Path of Gas Production with a Dynamic Optimization Model, Case Study: Offshore South Pars Field
No full textAbstractIn this paper, the main purpose is extracting the optimal path of gas production for period of 2011 to 2021, for south Pars field. I use from Matlab Optimization toolbox for this aim. Results of this paper reveal upward sloping of gas extraction of south Pars field. In this paper, I evaluate value of source evacuation
INTRODUCE A NEW MACRO ECONOMETRIC MODEL FOR IRAN AS AN OIL COUNTRY
No full textIn this paper a macro econometric model is introduced for Iran. Iran is an oil dependent country with oil income playing significant role in the economy. In this paper we want to survey the effects of world oil prices and oil quantity production on our economy.
For this aim, a Macro econometric model is introduced which contains 21 equations dividing the economy into four sectors - production, government, monetary and foreign sectors. Results of these equations estimation reveal that Iran\u27s economy is really dependent on oil income and government should try to decrease dependence on oil income
Survey Effects of Oil Income on Nonoil Export (Case Study: Iran)
No full textThere are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, is high oil income caused to rise nonoil export? For this aim, we use from data of 1970-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income did not cause to many non oil export in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to rise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined
Effects of R&D Costs on Profit of Producers of Oil Productions in Tehran Stock Exchange
No full textAbstract. In this paper, we survey effects of firm’ size, firm’ age, capital to endowment, debt to endowment, advertisement cost and R&D cost on profit of producers of oil productions in Tehran stock exchange. We use from data of period 2004-2014 and estimate model with panel method. Results of estimation reveal that capital to endowment, age and R&D cost have positive effect on these firm’s profit and firm’ size, debt to endowment and advertisement cost have negative effect on our firm’s profit.Keywords. R&D Cost, Oil Productions, Profit, Advertisement Cost.JEL. Q54, H27, E31
The assessment of liquefied natural gas (LNG) demand reversibility in selected OECD countries
No full textExperience has shown that there is a relationship between demand and price, contrary to the short-term mode, which is expected to be inverted between price and value, and the effects of lowering and rising prices follow reverse. But symmetric results; in the long run, there may be unlawful reactions It would seem that the effect of the price increase and its effect on the amount with its photo mode is not the effect of the price decline. To illustrate the effects of price symmetry, the price can be broken down into three parts, the maximum price, the lowering price, and the increasing price, according to the Getely method. The main objective of this paper is to investigate the effects of the LNG product in the OECD countries. The study uses seasonal data from 2011-2015 for selected countries (Japan, South Korea, United States, United Kingdom, and Spain). Dynamic panel method is also used to estimate the model of this research. According to research findings, long-term and short-term elasticities of effective factors on LNG demand in selected countries have been calculated. The results show that LNG demand in the selected importing countries is relatively reversible in the short and long-term
Survey Effects of Oil Income on Nonoil Export and Effort for Decline in Dependence to Oil Income
No full textLINKAGES BETWEEN BRENT OIL PRICE AND IRAN STOCK MARKET: NEW EVIDENCE FROM THE CORONA PANDEMIC
No full textThis article reviews the relationship between the oil market and the stock market during the Corona outbreak. The hypothesis of this paper is whether while oil prices shocks happen due to business cycle fluctuations and some other reasons like political reasons occur; the correlations between changes in Brent oil prices and stock market indices tend to be affected by named corona indexes. Forecasting the stock market in each period has been difficult and the value of stock index has been affected by various factors. Among these factors has been the oil and gas sector, especially in countries dependent on the revenue from their sales. This study examines relationship between Brent oil price and Iran stock market Index during the outbreak of corona pandemic. Research method is, vector autoregression model (VAR) which using daily data covering the period from February 20, 2020 to August 21, 2020. The findings of this study suggest that a negative causal effect from Brent oil price changes to the Iran stock market Index. Also, the results of impulse response functions and variance decompositions showed that some corona pandemic indicators have significant effects on the stock index
Métodos para la previsión de los precios del gas
No full textThe difficulty in gas price forecasting has attracted much attention of academic
researchers and business practitioners. Various methods have been tried to solve the problem of
forecasting gas prices however, all of the existing models of prediction cannot meet practical needs.
In this paper, a novel hybrid intelligent framework is developed by applying a systematic integration
of GMDH neural networks with GA and Rule-based Exert System (RES) employs for gas
price forecasting. In this paper we use a new method for extract the rules and compare different
methods for gas price forecasting.
Our research reveals that during the recent financial crisis period by employing hybrid intelligent
framework for gas price forecasting, we obtain better forecasting results compared to the
GMDH neural networks and MLF neural networks and results will be so better when we employ hybrid intelligent system with for gas price volatility forecastingLa dificultad de la previsión de los precios del gas ha atraído considerablemente la atención de
los investigadores universitarios y los profesionales del sector. A pesar de que se ha intentado
solucionar el problema de la previsión de los precios del gas con diferentes métodos, ninguno de
los modelos de predicción existentes llegan a cumplir con las necesidades prácticas.
En este artículo, se ha desarrollado un novedoso sistema inteligente híbrido mediante la
aplicación de la integración sistemática de redes neuronales de tipo Group Method of Data
Handling (GMDH) con algoritmos genéticos (AG) y un sistema experto basado en reglas (SER) a la previsión de los precios del gas. Igualmente, utilizamos un nuevo método para extraer las reglas
y comparar los diferentes métodos para la previsión de los precios del gas.
Nuestra investigación revela que durante la reciente crisis económica se obtienen mejores
resultados utilizando un sistema inteligente híbrido para la previsión de los precios del gas, en
comparación con las redes neuronales de tipo GMDH y de tipo Multi-Layer Feed-forward (MLF),
y que los resultados mejorarán si utilizamos un sistema inteligente híbrido en la previsión
de la volatilidad de los precios del ga
Survey Environmental Effects of Emotion of Pollutions on Economic Growth Respect to Human Development Index in Oil Countries
No full textIn this paper, for survey human health effect on economic growth, an econometric model with panel data is used for oil countries in 1995-2017. Innovation of this paper is estimation of an endogenous economic growth model with survey effect of health of human on economic growth, with effect of environmental pollution on human health. This paper, used from a health index and an environmental pollution index (CO2 and NOX). PANEL-SUR model is used. Results reveal that environmental pollution has negative effect on health index and human development index. Results reveal that in our countries there is a negative relation between pollution and economic growth because of positive relation between health index and human development index and positive relation between human development index and economic growth, more pollution decrease positive effect of human development index on economic growth
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