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Статті в журналах з теми "Oil GDP"

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Ali, Anis. "Governance of public spending avenues by oil prices, oil revenues, and GDP in Saudi Arabia: proportionate sensitivity and trend analysis." Investment Management and Financial Innovations 17, no. 4 (November 30, 2020): 152–64. http://dx.doi.org/10.21511/imfi.17(4).2020.15.

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Saudi Arabia is a petroleum resource-rich country, and half of the GDP of Saudi Arabia is based on the Oil Sector Revenue (OSR). The OSR is governed by the Oil Prices (OP), while GDP is also affected by the OSR in petroleum exporting companies. The volatility of OP governs the OSR and GDP positively and perfectly as the oil sector contributes approximately half of the GDP of Saudi Arabia. The study analyzes the governance of the Public Spending Avenues (PSA) by the OP, OSR, and GDP in the long and short run and based on the secondary data taken from the website of the Saudi Arabian Monetary Authority (SAMA). Coefficient of Variations (CV), Chain-based Index (CBI) numbers, Fixed-based Index (FBI) numbers, and Analysis of Variances (ANOVA) of OP and other dependent variables calculated to get the normality, sensitivity, trend, and significance difference among the sensitivity and trend of variables, while Pearson’s correlations establish the cause-effect relationship among the variables. The study reveals that oil price volatility does not affect the OSR, GDP, and ultimately public spending in the long run. However, there is governance of volatility of OP that can be seen on OSR, GDP, and ultimately on PSA in the short run. Saudi Arabian government enhances its spending on PSA and especially on education while lowering the OP. There is a need to diversify the income resources to minimize the reliability of oil prices and budget deficit and consider the sensitivity of oil prices on the economy by the policymakers to formulate the policies to minimize the impact of volatility of OP on the economy. AcknowledgmentThe author would like to thank the Deanship of Scientific Research, Prince Sattam Bin Abdulaziz University, Saudi Arabia.  
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Alabdulwahab, Sami. "The Linkage between Oil and Non-Oil GDP in Saudi Arabia." Economies 9, no. 4 (December 20, 2021): 202. http://dx.doi.org/10.3390/economies9040202.

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Saudi Arabia is one of the world’s major producers of oil. The Saudi Government has launched its vision for the coming decade: Saudi Vision 2030 (also known as 2030 Vision). Saudi Vision 2030 aims to diversify economic income and be independent of oil revenue. The focus of Saudi Vision 2030 is increasing the role of the non-oil GDP in the economy. In this study, I tried to examine the link between oil and non-oil GDP in Saudi Arabia. I used autoregressive distributed lag (ARDL) cointegration, the most common tool used to examine linkages among variables. My ARDL results confirm the long-term cointegration between non-oil GDP and oil rent, thus implying that oil rent-seeking strategies still exist in Saudi Arabia. The short-term dynamics confirmed the impact of oil rent over the non-oil GDP. The ARDL results led to analyses of asymmetric effects. The NARDL model estimated and confirmed the symmetric effect of the oil rent on non-oil GDP. These results demonstrate the challenges in diversifying Saudi Arabia’s income.
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Charles C., Okeke, and Eze Francis C. "Assessment of the Impact of Oil and Non-Oil Products on Nigeria Gross Domestic Product (GDP)." Business, Management and Economics Research, no. 55 (May 10, 2019): 71–76. http://dx.doi.org/10.32861/bmer.55.71.76.

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This study investigates specifically the impact of Oil and Non-Oil Products on Nigeria Gross Domestic Product (GDP). Data were collected for period 1981-2016 Descriptive Statistics and Multiple Linear Regression Approach was used, defining Oil, and Non-Oil Products as independent variables and Gross Domestic Product (GDP) as dependent variable. From the analysis, Oil, and Non-Oil Products contributes immensely to the Nigeria Gross Domestic Product (GDP). Contrary, the Oil Product is positively and insignificant on economic growth of Nigeria (GDP) and the Non-Oil Product has positively and significant on economic growth of Nigeria (GDP). This study therefore recommends that Nigeria should enhance her export promotion strategies and diversify her economy far away from Crude oil.
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Mukhtarov, Shahriyar, Sugra Humbatova, and İlgar Seyfullayev. "The impact of bank credits on non-oil GDP: evidence from Azerbaijan." Banks and Bank Systems 14, no. 2 (June 10, 2019): 120–27. http://dx.doi.org/10.21511/bbs.14(2).2019.10.

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This study explores the relationship between bank credits, exchange rate and non-oil GDP in Azerbaijan, utilizing FMOLS, CCR and DOLS co-integration methods to the data spanning from January 2005 to January 2019. The results from the different co-integration methods are consistent with each other and approve the presence of a long-run relationship among the variables. Estimation results reveal that there is a positive and statistically significant impact of bank credits and exchange rate on the non-oil GDP in the long run for the Azerbaijani case which are in line with the expectations and with the theoretical findings discussed in theoretical framework section. This finding also indicates that a 1% increase in credit and real exchange rate increases non-oil GDP by 0.51% and 0.56%, respectively. The results of this paper are useful for the policymakers and promote the economic literature for further researches in the case of oil-rich countries.
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Miller, J. Isaac, and Shawn Ni. "LONG-TERM OIL PRICE FORECASTS: A NEW PERSPECTIVE ON OIL AND THE MACROECONOMY." Macroeconomic Dynamics 15, S3 (November 2011): 396–415. http://dx.doi.org/10.1017/s1365100511000265.

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We examine how future real GDP growth relates to changes in the forecasted long-term average of discounted real oil prices and to changes in unanticipated fluctuations of real oil prices around the forecasts. Forecasts are conducted using a state-space oil market model, in which global real economic activity and real oil prices share a common stochastic trend. Changes in unanticipated fluctuations and changes in the forecasted long-term average of discounted real oil prices sum to real oil price changes. We find that these two components have distinctly different relationships with future real GDP growth. Positive and negative changes in the unanticipated fluctuations of real oil prices correlate with asymmetric responses of future real GDP growth. In comparison, changes in the forecasted long-term average are smaller in magnitude but are more influential on real GDP. Persistent upward revisions of forecasts in the 2000s had a substantial negative impact on real GDP growth, according to our estimates.
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Maeda, Akira. "On the Oil Price-GDP Relationship." Japanese Economy 35, no. 1 (April 2008): 99–127. http://dx.doi.org/10.2753/jes1097-203x350104.

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Jahangir, S. M. Rashed, and Betul Yuce Dural. "Crude oil, natural gas, and economic growth: impact and causality analysis in Caspian Sea region." International Journal of Management and Economics 54, no. 3 (September 30, 2018): 169–84. http://dx.doi.org/10.2478/ijme-2018-0019.

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Abstract The main objective of this study was to investigate the impact and causality of crude oil and natural gas on economic growth in the Caspian Sea region. Here, the study applies ordinary least square (OLS) method and Granger causality test using time series data from 1997 to 2015 to ascertain the impact and causality of crude oil and natural gas on economic growth. The results, according to the OLS method, evince that crude oil and natural gas have a significant impact on economic growth of the region. Alongside, considering causality test, gross domestic product (GDP) does Granger cause (unidirectional) crude oil price and export which denotes that GDP can help to forecast crude oil price and export; however, crude oil price and export cannot help to forecast GDP. Surprisingly, this direction is unlikely for GDP and natural gas. GDP and natural gas have unidirectional, but opposite causal relationship, i.e., natural gas price and export do Granger cause GDP which signify that natural gas price and export can help to forecast GDP; however, GDP cannot help to forecast crude oil price and export.
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Said, Husaini, and Evangelos Giouvris. "Oil, the Baltic Dry index, market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries." Financial Markets and Portfolio Management 33, no. 4 (November 27, 2019): 349–416. http://dx.doi.org/10.1007/s11408-019-00337-0.

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AbstractThe recent financial crisis has made (il)liquidity research more significant than ever. Galariotis and Giouvris (Int Rev Financ Anal 38:44–69, 2015) find evidence that market liquidity may contain information for predicting the state of the economy. Similar to (il)liquidity, oil is an important indicator of the future state of the economy (GDP). We consider five predictive variables, namely national/global illiquidity, foreign exchange, Baltic Dry, and oil. Our findings show that (1) global illiquidity provides greater overall explanatory power compared to national illiquidity (even for developed oil exporters: Norway, Canada, and Denmark). (2) Oil is the most important predictive variable for oil exporters (especially for emerging oil exporters suggesting over-reliance), while Baltic Dry appears to be more important for oil importers. (3) FX has extra power over financial variables mainly for emerging oil exporters. Finally, there is a two-way causality between GDP and our predictive variables: (4) For oil exporters, the two-way causality between oil and GDP remains, while for net oil importers, we observe a one-way causality from GDP to oil.
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Humbatova, Sugra Ingilab, Sabuhi Mileddin Ogli Tanriverdiev, Ilgar Nariman Mammadov, and Natig Gadim-Oglu Hajiyev. "Impact of investment on GDP and non-oil GDP in Azerbaijan." Entrepreneurship and Sustainability Issues 7, no. 4 (June 1, 2020): 2645–63. http://dx.doi.org/10.9770/jesi.2020.7.4(6).

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GAVISH, BEZALEL, and ROYI GAVISH. "REDUCING THE USAGE OF CRUDE OIL — WHAT CAN BE LEARNED FROM HIGHEST CRUDE CONSUMER COUNTRIES?" International Journal of Information Technology & Decision Making 11, no. 02 (March 2012): 233–46. http://dx.doi.org/10.1142/s0219622012400019.

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The production and consumption of crude oil became a major issue with the sharp increase in crude oil prices that took place during the last few months. We investigate the relationship between crude oil consumption and the GDP of the top crude oil consuming countries. The amount of GDP produced per barrel of crude oil varies significantly between different countries; the ratio is in the range of 2% to 10% of the GDP when the price of a barrel of crude oil is $100. The paper attempts to explain the high variability with the aim of learning from high GDP producers as to how they are able to generate a larger GDP per barrel of crude oil consumption. The paper also identifies a hysteresis effect in crude consumption reduction and illustrates how understanding it can lead to better production and conservation policies.
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Дисертації з теми "Oil GDP"

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Naser, Hanan. "An econometric investigation of forecasting GDP, oil prices, and relationships among GDP and energy sources." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/7041/.

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In order for a policy to be effective, the links between the policy tools and the sub- sequent targets must be known, understandable, stable, and predictable. In this respect, this thesis is composed of three separate yet related empirical studies, that target important macroeconomic variables, which play a central role in the conduct of macroeconomic policies. First, simple regression estimates and a factor-based model are utilized to produce forecasts for Bahrain quarterly GDP growth using quarterly data-set that cover the period from 1995: Q1 to 2008: Q3. To do so, we run a simple regression model using a small data-set including six explanatory variables carefully selected based on in-sample correlation with the target variable. Alternatively, a factor model based on 65 indicators is employed to forecast Bahrain GDP growth. Using simulated out- of-sample experiments we assess and compare the performance of both approaches. The main finding from our forecasting experiment is that the best forecasting performance can be reached using simple regression estimates with a carefully selected small set of variables. In particular, by looking at point and density nowcasts, we find that a simple regression model that use industrial production as an indicator are more accurate than a static factor approach that uses over 65 variables. The official flash estimates of Bahrain quarterly GDP are published with a delay of 90 days after the end of the reference quarter. Our flash estimates, based on simple regression model, reduce the lag to 54 days. Second, we aim to forecast West Texas Intermediate (WTI) crude oil prices using a large monthly data-set that cover the period from March 1983 to December 2011. To achieve this aim, forecasting with factor models offer a usual approach that utilizes large data-sets, however; a forecasting model which simply includes all factors in state space equation and do not allow for time varying may be not suitable with a highly volatile market such as oil market. To overcome these limitations, we employ an approach that accounts both for parameter and model uncertainty. In particular, we implement the the Dynamic Model Averaging (DMA) approach suggested by Koop and Korobilis (2012). The key element of the DMA approach is that it allows both for model and parameter to vary at each point of time. By doing so, the DMA is robust to structural breaks. Empirical findings show that DMA approach outperforms any other alternative model used in the forecasting literature. We show that there is model but not parameter variation. Finally, we find that the DMA approach provides a better proxy of expected spot prices than future prices. Third, the Johansen cointegration technique is used to examine the long-run relationship between oil consumption, nuclear energy consumption, oil price and economic growth for eight countries over the period from 1965 - 2010. The countries investigated are divided into two groups. The first group includes four industrialized countries: USA, Canada, Japan and France, while the second group includes four emerging economies: Russia, China, South Korea and India. Results suggest that there is a long-run relationship between the four variables. Exclusion tests show that at least one energy source enter the cointegration space significantly, which im- plies that energy a long-run impact on economic growth. The emerging economies found to be heavily dependent on both oil and nuclear energy consumption. We also examine the causal linkage between the variables through exogeneity test. There is evidence of a unidirectional causality between energy consumption (oil or nuclear) and economic growth in all investigated countries. Our findings have important pol- icy implications that should be taken into account in designing appropriate energy policies. Energy conservation policies might have drawbacks or damaging repercus- sions on economic growth for this group of countries.
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Gonzalez, Aaron, and Sherzod Nabiyev. "Oil price fluctuations and Its effect on GDP growth." Thesis, Jönköping University, Jönköping University, JIBS, Economics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-8065.

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During the year of 2008, the world has experienced historically high oil prices reaching an all time high of 147 USD per barrel in midsummer. The extreme volatility of what is consider the number one source of energy reopened discussions about energy sustainability and the plausible effects of an oil shock in the global economy.

 

How reliable oil price is as an economic variable predicting fluctuations in GDP growth remains controversial. Several models have been developed by scholars targeting different relations between oil price and GDP growth, from its effects on stock markets to its effect to unemployment. The authors extended the model of Mork & Olson (1994) since it focuses on the consequences that an oil shock effect on GDP growth. The model is extended from 1993 to the third quarter of the year 2008 in order to draw conclusions and test crude oil prices fluctuations affect GDP growth in the modern economy.

 

The U.S.A and Sweden were chosen to compare their GDP sensitiveness to oil price volatility. The reason is that the U.S.A remains as the largest economy and consumes 25% of the oil produced in the world and is the most oil dependent among developed countries according to the EIA. Sweden on the contrary energy efficient and consumes relatively less oil per capita than many developed countries, it is also believed to be one of the most progressive countries in developing and using renewable energy resources and therefore less sensitive. The bivariate results does not show a pattern of negative correlations for Sweden between GDP growth and real oil price increases, however the U.S.A showed to be more sensitive to oil price increases.

 

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Bauch, Jacob H. "The Impact of Oil Prices on the U.S. Economy." Scholarship @ Claremont, 2011. http://scholarship.claremont.edu/cmc_theses/146.

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Nine of the ten recessions since WWII have been preceded by relatively large and sudden increases in the price of oil. In this paper, I use time series analysis to forecast GDP growth using oil prices. I use the methodology from Hamilton (2009), and extend the dataset through 2010. Impulse response functions are used to analyze the historical performance of the model’s one-year-ahead forecasts. In April, 2011, the International Monetary Fund changed its forecast of 2011 GDP growth in the U.S. from 3.0% to 2.8% largely due to persistently high oil prices. My model suggests that the price increase in 2011Q1 will lead to growth of 2% in 2011. Furthermore, my model predicts that a 54% increase in crude oil prices during the second quarter of 2011 will lead the U.S. into a double dip recession.
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Kilic, Sebastian, and Filip Bengtsson. "Oil price shocks on Swedish economy : Case study on the oil's effect on a small country." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-65322.

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We estimate the macroeconomic performance in terms of inflation and GDP growth of Sweden in relations to oil price shocks, focusing on the differences across two periods, pre and post 2008. By using a Vector Error Correction model and linear hypothesis testing we can see short term and long term correlations between the nominal oil price and three dependent variables, GDP, CPI and GDP deflator. Our hypothesis is that the effects of oil price shocks are indifferent across our estimation period and this would be in line with previous literature.  We find that the macroeconomic factors of GDP and inflation responds differently post 2008 and by using impulse response functions (IRFs) we can see how the dependent variables responds to an oil price shock. They show that oil shocks have permanent effects in GDP and GDP deflator but transitory effects in CPI, we found short run causality for GDP and CPI but not for GDP deflator.
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Schoff, Austin Perez. "Are Oil Prices Important to U.S. Manufacturers?" Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1527.

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Very little has been written about the effect that oil prices have on manufacturing output in the United States. This paper aims to shed light about the effect of oil prices, oil imports, and GDP on U.S. manufacturing output through a four-variable vector autoregression and explain the timing of these shocks through impulse response functions. Empirical results find that oil prices are significant in determining manufacturing output, but manufacturing output is also significant in determining oil prices.
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Akaakar, Alexandra A. "OIL DEPENDENCY AND NATIONAL FOOD SECURITY: A CASE FOR NIGERIA." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2482.

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Food insecurity is a condition of insufficient access to quality nutritious food; it is often rooted in shocks that interrupt the food production/distribution system in an area. Amidst the capabilities of Nigeria's agricultural system, the number of households across Nigeria experiencing food shortages has increased rapidly. The main reason for this increase were price shocks. This incident highlighted a huge vulnerability in Nigeria's food system, the vulnerability to price shocks. Incidences such as poverty and conflicts magnify the frequency of food insecurity. The ability to reduce vulnerabilities while addressing existing issues in food production and supply depends on a stable economy and innovative policy. As a major oil exporter, Nigeria's economy is affected by oil price fluctuations. This paper analyses the extent of the effect and how such volatility could increase vulnerability in the food system. The analysis in this treatise examines economic and agricultural factors to identify trends that negatively affect Nigeria's current food system.. Oil prices were significant in explaining variation in food price shocks and Gross Domestic Product (GDP). Food price shocks are one of the symptoms of economic downturns. Agricultural innovation, and economic policies need to be formulated to prevent such shocks in the future. Given the dependency of economic performance on oil prices, a major move would be to diversify the Nigerian economy; with adequate attention being paid to agriculture.
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Restrepo, Valeria. "The impact of oil price surges on economic growth." Honors in the Major Thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/500.

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The objective of this research concerns identifying whether or not there is a relationship between oil price increases in a given quarter and the likelihood of a recession in the subsequent quarter. The data used is gathered from the St. Louis Fed's Fred II, the National Bureau of Economic Research, and the Energy Information Administration to generate modified variables. These variables are tested using a qualitative dependent variable, recession, in a binary choice model. The findings validated the assumption that oil prices do have a correlation with recessions, and that the relationship is a direct one. Based on the model, an increase in the price of oil will positively affect the likelihood of a "recession" outcome versus the alternative, "no recession". It is anticipated that the results will inspire future research into the causes and effects of oil price surges, as well as the determinants of economic contractions in the future based on policy decisions and economic decision-making practices in the present.
B.A.
Bachelors
Business Administration
Economics
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Neto, Tónia Vanessa Barros de Freitas. "Impacto da variação do preço do petróleo na economia angolana." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14992.

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Mestrado em Métodos Quantitativos para a Decisão Económica e Empresarial
O presente estudo contribui para o conhecimento da relação existente entre o petróleo e o desempenho económico de Angola. A componente teórica desta dissertação faz uma revisão da literatura sobre estudos acerca da relação entre o petróleo e o desempenho económico de países específicos ou grupos de países. É também feito um estudo da evolução económica de Angola, bem como as alterações verificadas nos indicadores económicos do país, face às alterações registadas na atividade petrolífera. Foram utilizadas observações anuais para o período [1990-2015]. Estimou-se um modelo de regressão linear que relacionou a variável dependente Produto Interno Bruto (PIB), com as duas variáveis independentes principais, nomeadamente, o preço e a producão de petróleo, e algumas variáveis de controlo, tais como a taxa de câmbio, exportações e inflação. De forma a garantir a validade deste modelo, foram testadas as hipóteses clássicas e assintóticas do Ordinary Least Squares (OLS). Foi ainda testada a cointegração Engle-Granger entre as variáveis de interesse. Conclui-se através do modelo inicial, da sua significância estatística e coeficientes, que existe uma relação positiva e significativa entre o preço e produção do petróleo e o PIB de Angola. Após realizados todos os testes, verifica-se que o modelo estimado é dinamicamente completo e que a sua inferência estatística é válida, entretanto não pode ser usado para interpretações mais detalhadas, uma vez que, após serem aplicadas as transformações necessárias, o modelo perde capacidade preditiva.
This study contributes for the knowledge of the relationship between oil prices and Angolan economic growth. The theoretical section of the present dissertation does a literature review regarding previous studies about specific countries or groups of countries. Furthermore, a study about the Angolan economic evolution, as well as the changes in the country's macroeconomic indicators towards the changes in oil activity, was also conducted. The study relies on annual data for the period between 1990 and 2015. A linear regression model was estimated to make a connection between the dependent variable Gross Domestic Product (GDP), the main variables oil price and production and the control variables, such as real exchange rate, export and inflation. To assure the quality of the model the Classical and Asymptotic OLS properties were tested. Engle-Granger cointegration was also tested between the dependent and the main variables. The thesis concludes that the initial model itself and its statistics, shows a long-term relationship between the variables. The findings show that the estimated model is dynamically complete and its statistics inferences are valid, even though the model cannot be used for further conclusions, because of the loss of the variables information during the tests.
info:eu-repo/semantics/publishedVersion
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Olagunju, Emmanuel Gbenga. "Water resources development: opportunities for increased agricultural production in Nigeria." Thesis, Linköping University, Department of Water and Environmental Studies, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10031.

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Agriculture has been the backbone of the economy in Nigeria providing employment and source of livelihood for the increasing population and accounting for over half of the GDP of the Nigeria economy at independence in 1960. However, the role it plays in the regional and economic development of the country has diminished over the years due to the dominant role of the crude oil sector in the economy. With the increasing food demand in Nigeria, the country has available input natural resources and potential for increasing the volume of crop production towards meeting the food and nutritional requirement of the rapidly increasing population and guarantee food security in the country. The study was undertaken to analyse the effect of different factors and policies on the changes in trend of crop production and investigate the possible effect of water resources development on increased volume of agricultural crop production in Nigeria.

The study revealed that there are opportunities for water resources development in the country through irrigation to supplement the water requirements and needs of farmers for agricultural production activities in many areas in the semi-arid and arid regions. Available data shows that there are available land and water resources that could be developed to support the production of food and agricultural development with opportunity for increased productivity.

However, while the water resources are unevenly distributed in the country, there is need for the efficient use and management of the available water resources and increasing the productive use especially in the northern region of the country where there is increasing incidence of drought and competing need for water among the different sectors of the economy. The study also made possible recommendations for policy formulation to address the current problems facing the agricultural sector in conjunction with the requirement for the development of the water resources.

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Ondrejová, Zuzana. "Ktoré faktory sú zodpovedné za rast dopytu po leteckej preprave pasažierov?" Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201849.

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Is GDP per capita one of the main drivers affecting demand for passenger air travelling? Based on the time series analysis conducted for North American and Middle Eastern region, we have not rejected hypothesis about positive impact of GDP per capita on demand for air travelling. The thesis also analyzes whether the effects observed are weaker for more developed and more saturated markets. The second hypothesis was rejected, as we have found that the effect of the GDP per capita was on average 10% stronger for the North American region than for the Middle Eastern region. Moreover, we have found that for both regions oil prices are the important driver of the passenger air travel demand.
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Книги з теми "Oil GDP"

1

Kennett, Steven Alexander. Closing the preformance gap: The challenge for cumulative effects management in Alberta's Athabasca Oil Sands region. Calgary: University of Calgary, 2007.

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2

Tam, gde rastut romashki: Ocherki i vospominanii︠a︡ rabotnikov i veteranov NGDU "Leninogorskneftʹ". Moskva: RadioSoft, б. д.

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3

Nakov, Anton. Inflation-output gap trade-off with a dominant oil supplier. Cleveland, Ohio]: Federal Reserve Bank of Cleveland, 2007.

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4

GAP. GAP: An organised voyage : oil paintings, etchings and drawings /[curated by Beverly Yong]. Kuala Lumpur, Malaysia: Valentine Willie Fine Art, 1998.

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Debbich, Majdi. Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17. International Monetary Fund, 2019.

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6

Debbich, Majdi. Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17. International Monetary Fund, 2019.

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7

Debbich, Majdi. Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17. International Monetary Fund, 2019.

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8

Akbariavaz, Khalil. Impact of International Sanctions on the Lifestyle of the Iranian People: The Economic Impact of International Sanctions on Iran's GDP in Terms of Trade, Investment, and Oil. Eliva Press, 2022.

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9

Hood, Christopher, and Rozana Himaz. Rolling Back the State? Fiscal Squeeze, Thatcher-Style. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198779612.003.0008.

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This chapter describes two fiscal squeezes under the Conservative majority-party governments led by Margaret Thatcher in the 1980s. The first comprised a hard post-election squeeze on revenue in the middle of a major recession and mass unemployment, beginning with an abrupt hike in VAT rates in 1979 and severe tax rises in the 1981 budget. The second comprised a strategy of holding down spending increases that led to public expenditure falling relative to GDP (but not in constant price terms) over an extended period as recession was followed by economic recovery from 1983. These periods of squeeze took place in an era of deep polarization between the two main parties and bitter industrial unrest and were fuelled to a considerable extent by sharply increasing North Sea oil revenue and widespread asset sales in the form of privatization of state-owned enterprises that counted as negative expenditure.
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10

Fassihi, Mohammad Reza, and Anthony R. Kovscek. Low-Energy Processes for Unconventional Oil Recovery. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/9781613994757.

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Low-Energy Processes for Unconventional Oil Recovery fills a gap in oil and gas literature. Today, in our globalized society, the oil industry has to demonstrate how oil recovery can be done responsibly over the life-cycle of the project, clearly articulating energy efficiency as well as limiting CO2 and environmental footprints of the chosen recovery processes. The authors bring together their complementing expertise to provide the reader with an in-depth discussion of a range of alternative recovery techniques. Most recovery methods included are focused on heavy oil recovery, but some have applications in light oil reservoirs as well. With the recent industry drive and focus to recover hydrocarbons from tight rock and shale resources, a chapter has also been devoted to shale oil recovery.
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Частини книг з теми "Oil GDP"

1

Mokhtarzadeh, Fatemeh. "A global vector autoregression model for softwood lumber trade." In International trade in forest products: lumber trade disputes, models and examples, 174–93. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0008.

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Abstract A novel econometric approach is developed in this chapter, namely, the Global Vector Autoregressive (GVAR) model. It provides a comprehensive framework for analyzing the country-level impacts of various domestic, foreign, and/or global shocks on softwood lumber trade. The GVAR approach is applied to Canada-U.S. trade in softwood lumber and used to analyze the effect of external shocks on Canadian lumber prices. Findings indicate that Canada's export prices are positively correlated to U.S. housing starts and real GDP. Further, using impulse response functions, it is used to examine the effects on regional lumber export prices in Canada of: (1) a change in U.S. housing starts; (2) a reduction in U.S. GDP by one standard deviation; (3) a COVID-19 induced decline in U.S. GDP (of three standard deviations); (4) an increase in global oil prices; and, in the Appendix, (5) an increase in the long-term interest rate. Price impacts vary a great deal by Canadian region depending on the type of shock, with the propagation mechanism in Alberta significantly different from that in other regions. For example, with an oil price shock and because Alberta is a major exporter of oil, the lumber export price remains high even as the shock dissipates over time.
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2

Mokhtarzadeh, Fatemeh. "A global vector autoregression model for softwood lumber trade." In International trade in forest products: lumber trade disputes, models and examples, 174–93. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0174.

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Abstract A novel econometric approach is developed in this chapter, namely, the Global Vector Autoregressive (GVAR) model. It provides a comprehensive framework for analyzing the country-level impacts of various domestic, foreign, and/or global shocks on softwood lumber trade. The GVAR approach is applied to Canada-U.S. trade in softwood lumber and used to analyze the effect of external shocks on Canadian lumber prices. Findings indicate that Canada's export prices are positively correlated to U.S. housing starts and real GDP. Further, using impulse response functions, it is used to examine the effects on regional lumber export prices in Canada of: (1) a change in U.S. housing starts; (2) a reduction in U.S. GDP by one standard deviation; (3) a COVID-19 induced decline in U.S. GDP (of three standard deviations); (4) an increase in global oil prices; and, in the Appendix, (5) an increase in the long-term interest rate. Price impacts vary a great deal by Canadian region depending on the type of shock, with the propagation mechanism in Alberta significantly different from that in other regions. For example, with an oil price shock and because Alberta is a major exporter of oil, the lumber export price remains high even as the shock dissipates over time.
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3

Elmezouar, Zouaoui Chikr, A. Mazri, M. Benzaire, and AEK Boudi. "Test of Causality Between Oil Price and GDP Growth in Algeria." In Springer Proceedings in Mathematics & Statistics, 205–13. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06923-4_19.

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4

Zhang, Guoxing, Sujie Cheng, Peng Liu, Xutao Zhang, and Guorong Chai. "How Does the Carbon Emission of China’s Transportation Industry Change with the Fluctuation of GDP and International Oil Price?" In LTLGB 2012, 1035–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34651-4_137.

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5

Kuboniwa, Masaaki. "Estimating GDP and Foreign Rents of the Oil and Gas Sector in the Soviet Union and Present-Day Russia." In Russian Economic Development over Three Centuries, 421–38. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8429-5_12.

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6

da Silva, Marcio Wagner. "The Propylene Production Gap." In Crude Oil Refining, 203–18. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003291824-12.

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7

Mehdi, Itrat, Abdul Aziz Al Farsi, Bassim Al Bahrani, and Shadha S. Al-Raisi. "General Oncology Care in Oman." In Cancer in the Arab World, 175–93. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7945-2_12.

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AbstractThe Sultanate of Oman is located on the Arabian Peninsula and is part of Western Asia. Oman has a relatively young population. The economy is based on oil, agriculture, fishing, and overseas trading. Oman spends around 3% of its GDP on health care. Omani nationals have free access to public healthcare. Due to increased incomes and changing lifestyles, the rate of Non-Communicable Diseases (NCD) including cancer is rising. This is slowly saturating the system and increasing health care costs. Cancer is now the third leading cause of mortality. The age-adjusted annual incidence of cancer ranges from 70 to 110 per 100,000 population. Oman has an operational national NCD action plan. This multi-sectoral plan was launched in 2018 and focuses on the government approach in addressing NCDs including cancer, highlighting the prevention and control strategies. There is an integrated cancer care service, cancer registry, and cancer control program; under the auspices of the Directorate general of Non-communicable diseases—Ministry of Health. Oman has envisioned an ambitious long-term health care plan called “Health care Vision 2050”, which includes the development and progression of cancer care services as well. This plan has an emphasis on development, patient empowerment, public awareness, health education, integration and accessibility of services, screening, and early detection, public–private partnership, indulgence for NGOs, research, and capacity building.
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Zohry, A., and S. Ouda. "Crop Rotation and Edible Oil Production–Consumption Gap in Egypt." In Crop Rotation, 111–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05351-2_7.

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9

Ma, Guowei, Yimiao Huang, and Jingde Li. "CFD-Based Overpressure Prediction for Congested Multi-Modules—Safety Gap Effect." In Risk Analysis of Vapour Cloud Explosions for Oil and Gas Facilities, 129–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7948-2_6.

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10

Kahlweit, M., R. Strey, and J. Jen. "Phase Behavior of Ternary Systems H2O — Oil — Amphiphile as Determined by the Interplay of the Oil — Amphiphile Gap and the H2O — Amphiphile Loop." In Progress in Microemulsions, 61–71. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-0809-4_4.

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Тези доповідей конференцій з теми "Oil GDP"

1

Chuan-ping, Zhang, Cao Xiao, Zhao Ya-nan, Zhang Jing, and Yu Lei. "Research on the impact of international crude oil price fluctuation and oil import to China's GDP." In 2013 International Conference on Management Science and Engineering (ICMSE). IEEE, 2013. http://dx.doi.org/10.1109/icmse.2013.6586422.

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2

Charfeddine, Lanouar, and Karim Barkat. "Do Oil and Gas Revenues promote Economic Diversification in Qatar?" In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0048.

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The aim of this paper is to explore the short- and long-term asymmetric impact of oil prices shocks and oil and gas revenues changes on the total real GDP, and the level of economic diversification of the Qatar economy. To this end, two econometric approaches have been used: (1) the A-B structural vector autoregressive (AB − SVARX) model with exogenous variables where four different asymmetric oil prices and oil and gas revenues measures have been employed, and (2) the nonlinear autoregressive distributed lag (NARDL) model. The results show that, in the short-run, the responses of both total real GDP and non-oil real GDP to negative shocks on real oil prices and real oil and gas revenues are higher than the impact of positive shocks, indicating evidence for the existence of asymmetric impact of shocks in the short-run. However, the results suggest that the impact of shocks do not last more than three quarters. This evidence for the existence of asymmetric behavior is also confirmed by the NARDL analysis, which shows that, in the long run, positive oil prices shocks and oil and gas revenues changes have higher impact on the two proxies of economic activity than negative changes do. A result that confirms the resilience of the Qatar economy to negative shocks and the positive role played by the energy sector in improving the Qatar economic diversification degree. Finally, the results show that the non-oil sector is completely resilient to negative shocks in the long run as the impact of negative shocks are insignificant on the non-oil real GDP. Several policies aimed to improve the level of economic diversification of the country and delink the government revenues from oil and gas revenues are proposed and discussed.
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3

Rahma, Elsiddig, Noel Perera, and Kian Tan. "OIL PRICE SHOCKS AND THEIRS CONSEQUENCES ON SUDAN’S GDP GROWTH AND UNEMPLOYMENT RATES." In 21st International Academic Conference, Miami. International Institute of Social and Economic Sciences, 2016. http://dx.doi.org/10.20472/iac.2016.021.033.

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4

Yadollahzadeh Tabari, Naser Ali, and Mohammad Nasrollahi. "A Study of the Effects of Non-oil Exports on Iranian Economic Growth." In International Conference on Eurasian Economies. Eurasian Economists Association, 2010. http://dx.doi.org/10.36880/c01.00163.

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This paper examines the effects of Iranian non-oil exports on output during the years 1980-2007. We use an augmented neoclassical production function type and apply VECM methodology to estimate the short and long-run effects. The results show: negative effects of non-oil export on non-Export output, while capital stock and labor force have positive effects on non-Export GDP.
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5

Bal, Harun, Mehmet Demiral, and Emrah Eray Akça. "Mediating Effect of the Governance Indicators in the Relationship between Natural Resources Abundance and Economic Growth: Empirical Evidence from the." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00950.

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This study purposes to identify the relationship between gross domestic product (GDP) and natural resources abundance, focusing on the mediator roles of governance indicators for selected 21 MENA and Caspian countries. Governance indicators used in the study are World Bank’s six global governance indicators. Annual panel data for the period of 1996-2012 are used. In this context, the study estimates the impact of crude oil production per capita (independent variable) on GDP per capita (dependent variable) at first, and then hierarchical panel regression analyses are conducted to determine the mediator variable roles of the governance indicators in this relationship. Sobel test is also applied to confirm whether the mediation effect is significant. Results from the pairwise panel regression analyses reveal that crude oil production per capita is negatively associated with all worldwide governance indicators, mostly with control of corruption, voice and accountability and regulatory quality. The progressive improvements of all dimensions of governance indicators, especially control of corruption, rule of law and government effectiveness, seem to promote GDP per capita. Results from the hierarchical regression analysis demonstrate that governance indicators play an important role as a partial mediator in the relationships crude oil production and GDP per capita. This evidence supports that weak governance indicators tend to hinder natural resources abundance to contribute economic growth. Overall findings highlight the increasing importance of policies intending to reduce corruption and violence, together with stimulating legitimacy, transparency and institutional quality for the countries investigated.
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6

Tufek-Memisevic, Tijana, and Zina Ruzdic. "Mitigating post-oil sustainability challenges in a topographically framed transit-oriented city." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/ioxj4775.

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Maintaining a balance between economic development and carbon emissions reduction is an important part of low-carbon development in modern cities. At present, the positive effect of urban compactness on carbon emission efficiency has been demonstrated in large cities, but few studies have been carried out on small towns. Small towns are an important part of China’s urban system, accounting for 70% of the total population and 60% of the national GDP. Most small towns in China still promote economic growth and enhance the social welfare of residents by large-scale urban construction, which inevitably leads to urban expansion and high carbon emissions. How to reduce carbon emissions by optimising urban form while continuing with economic development and maintaining people’s welfare has become an important issue faced by small towns in China. To guide the low-carbon planning of small towns, it is necessary to understand the relationship between urban compactness and the economic benefit and socialwelfare levels associated with the carbon emissions in small towns. This study quantitatively analyse the relationship between urban compactness and carbon emission efficiency (including CO2 economic efficiency and CO2 social efficiency) in small towns in the Yangtze River Delta (YRD) from 2008 to 2017. This study resulted in four main findings. (i) the expansion of urban scale had significantly improved the CO2 economic efficiency and CO2 social efficiency; (ii) the compactness presented opposite effects on the CO2 economic efficiency and CO2 social efficiency, compactness had a negative correlation with CO2 economic efficiency, and had a positive correlation with CO2 social efficiency; (ii) The CO2 economic efficiency and CO2 social efficiency both show an upward trend over the period 2008 to 2017; (iv) The relationship between GDP and carbon emissions in small towns did not reach an ideal state, the economies of small towns in China are still strongly dependent on scale expansion.
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7

Yuan, Qing, and Ran Guo. "Impact of Urban Compactness on Carbon Emission Efficiency in Small Towns in China." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/atxj1734.

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Maintaining a balance between economic development and carbon emissions reduction is an important part of low-carbon development in modern cities. At present, the positive effect of urban compactness on carbon emission efficiency has been demonstrated in large cities, but few studies have been carried out on small towns. Small towns are an important part of China’s urban system, accounting for 70% of the total population and 60% of the national GDP. Most small towns in China still promote economic growth and enhance the social welfare of residents by large-scale urban construction, which inevitably leads to urban expansion and high carbon emissions. How to reduce carbon emissions by optimising urban form while continuing with economic development and maintaining people’s welfare has become an important issue faced by small towns in China. To guide the low-carbon planning of small towns, it is necessary to understand the relationship between urban compactness and the economic benefit and socialwelfare levels associated with the carbon emissions in small towns. This study quantitatively analyse the relationship between urban compactness and carbon emission efficiency (including CO2 economic efficiency and CO2 social efficiency) in small towns in the Yangtze River Delta (YRD) from 2008 to 2017. This study resulted in four main findings. (i) the expansion of urban scale had significantly improved the CO2 economic efficiency and CO2 social efficiency; (ii) the compactness presented opposite effects on the CO2 economic efficiency and CO2 social efficiency, compactness had a negative correlation with CO2 economic efficiency, and had a positive correlation with CO2 social efficiency; (ii) The CO2 economic efficiency and CO2 social efficiency both show an upward trend over the period 2008 to 2017; (iv) The relationship between GDP and carbon emissions in small towns did not reach an ideal state, the economies of small towns in China are still strongly dependent on scale expansion.
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8

Maruping, Hlompo, and Itumeleng Mongale. "THE REAL INFLUENCES OF OIL PRICE CHANGES ON THE GROWTH OF REAL GDP: THE CASE OF SOUTH AFRICA." In 21st International Academic Conference, Miami. International Institute of Social and Economic Sciences, 2016. http://dx.doi.org/10.20472/iac.2016.021.023.

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9

Amoako, Fredrick Opare Baah, Hannah Donkor, Ella Kwarteng, and Emmanuel Fordjour. "Economic Impact of the COVID-19 Pandemic on the Oil and Gas Sector in Ghana." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/211911-ms.

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Abstract Historically, the petroleum industry has been a significant contributor to global economic growth. The drop in oil and gas demand, coupled with travel restrictions due to the COVID-19 pandemic caused a drop in global oil market prices. This has resulted in a drop in the output in the global economy. These drop-in output means that there were losses associated with the COVID-19 pandemic. The aim of this study is to evaluate and investigate the economic effect of the coronavirus pandemic on the oil and gas industry in Ghana. The evaluation was done using economic performance indicators such as GDP and Crude oil prices. In addition to this, a loss function-based algorithm was used to model the projected economic loss during this period. To demonstrate the model, data was collected from a study site and used in the model. The study is useful for decision making on the preparedness for future pandemics, especially in oil dependent countries.
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Hadi Abdulla Al-Lahaibi, Zakir, and Saeed Ali Muhammad Al-Obedi. "The impact of good governance indicators on the average per capita GDP in Iraq for the period 2004-2020." In 11th International Conference of Economic and Administrative Reform: Necessities and Challenges. University of Human Development, 2022. http://dx.doi.org/10.21928/uhdicearnc/37.

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Iraq suffers from deteriorating economic conditions, and the spread of corruption in the joints of the state and its institutions, which indicates that the availability of capabilities and resources alone in any country is not capable of advancing the economic reality. Rather, it needs political will and rational economic management that establishes controls and laws to create a sound environment for the economy and the exploitation of its resources in a way Optimal, as the research assumed that the indicators of good governance exercise a direct significant effect on the average per capita GDP, and the research found, through the application of the co-integration test using the Autoregressive Distributed Lag Model (ARDL) to the presence of a direct significant effect of the indicators of good governance on Average per capita GDP, and the research recommended the need to diversify sources of income by adopting a strategy for economic diversification and creating various productive sectors that work to increase and diversify sources of national income, reduce dependence on the oil sector in the formation of GDP, and use the revenues gained from the oil sector in Creating economic development based on diversification and investing in other sectors Reliance on it to be a means to bring about economic diversification, and stimulate growth in other sectors such as agriculture, industry, trade and services, as well as mineral sectors such as gas, minerals and phosphates, which contribute to the production and diversification of more goods and services and increase the output and average per capita share.
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Звіти організацій з теми "Oil GDP"

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Gelain, Paolo, and Marco Lorusso. The US banks’ balance sheet transmission channel of oil price shocks. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.26509/frbc-wp-202233.

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We document the existence of a quantitative relevant banks' balance-sheet transmission channel of oil price shocks by estimating a dynamic stochastic general equilibrium model with banking and oil sectors. The associated amplification mechanism implies that those shocks explain a non-negligible share of US GDP growth fluctuations, up to 17 percent, instead of 6 percent absent the banking sector. Also, they mitigated the severity of the Great Recession’s trough. GDP growth would have been 2.48 percentage points more negative in 2008Q4 without the beneficial effect of low oil prices. The estimate without the banking sector is only 1.30 percentage points.
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2

Hasanov, Fakhri J., Nader Alkathiri, Saad Alshahrani, and Ryan Alyamani. The Impact of Fiscal Policy on Non-Oil GDP in Saudi Arabia. King Abdullah Petroleum Studies and Research Center, July 2020. http://dx.doi.org/10.30573/ks--2020-dp14.

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3

JOHNSON, MEGAN M. Meta-Analysis of the Oil Price Elasticity of the GDP for Policy Analysis: Documentation. Test accounts, August 2017. http://dx.doi.org/10.2172/1376319.

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4

Leiby, Paul Newsome, David Charles Bowman, Gbadebo A. Oladosu, Rocio Uria Martinez, and Megan M. Johnson. Meta-Analysis of the Oil Price Elasticity of the GDP for Policy Analysis: Documentation. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1393888.

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Agudelo-Rivera, Camila, Clark Granger-Castaño, and Andrés Sánchez-Jabba. The Expected Effects of Climate Change on Colombia’s Current Account. Banco de la República Colombia, October 2022. http://dx.doi.org/10.32468/be.1214.

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This study analyzes the expected effects of climate change on Colombia’s current account. To this end, we present a literature review that outlines how climate-related risks could impact the balance of payments, complemented with an analysis that illustrates how the 2014-2015 oil shock affected the country's external sector. Subsequently, we show a projection of the current account balance through 2050 under different climate scenarios in order to establish whether the incidence of these risks would affect the country’s long-run current account. Our results indicate that achieving net-zero emissions by 2050 could widen the current account deficit, relative to a continuation of current climate policies, by an amount ranging between 2.6% and 4.6% of GDP.
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6

Havrlant, David, and Abdulelah Darandary. Economic Diversification under Saudi Vision 2030. King Abdullah Petroleum Studies and Research Center, April 2021. http://dx.doi.org/10.30573/ks--2021-dp06.

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The last decade has brought a row of substantial changes that have profound implications for the traditional hydrocarbon resource-rich economies. Economic conditions may change radically either throughout a decade or within months. The question is whether there is no other option for a hydrocarbon resource-rich economy than to be held hostage to the fluctuations in global oil prices. The general answer to a changing environment is: Adapt! From the macroeconomic perspective, this means diversifying the economy to broaden the income base and significantly reduce the dependence on oil revenues. The Saudi Vision 2030 represents a complex plan for substantial socioeconomic adjustments that are about to move the economy toward a more diversified and sustainable one. This discussion paper examines the preferred diversification paths for the Saudi economy in more detail, with a focus on the foreseen adjustments in the sectoral composition of the economy along with broader macroeconomic shifts. The evaluation of the foreseen diversification impacts is based on the updated Vision 2030 Input-Output Table that maps the changing structure of the Saudi economy over the coming decade. We discuss the assumed expansion of the diversification frontrunners, their changing contribution to the overall economic activity and identify the preferred diversification paths for the Saudi economy. The advances in economic diversification are measured by applying the Shannon-Weaver index to sectoral GDP and household income. The expected sectoral changes are wide-reaching, so the basic macroeconomic relations are also subject to adjustments. We also conduct a sensitivity analysis to examine the effects of the foreseen diversification on the resilience of the Saudi economy to external shocks.
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McCool, Stan, Tony Walton, Paul Willhite, Mark Ballard, Miguel Rondon, Kaixu Song, Zhijun Liu, Shahab Ahmend, and Peter Senior. Bridging the Gap between Chemical Flooding and Independent Oil Producers. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1053602.

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McCool, Stan, Tony Walton, Paul Whillhite, Mark Ballard, Miguel Rondon, Kaixu Song, Zhijun Liu, Shahab Ahmed, and Peter Senior. Bridging the Gap between Chemical Flooding and Independent Oil Producers. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1053788.

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McWilliams, Michael. Using Flue Gas Huff 'n Puff Technology and Surfactants to Increase Oil Production from the Antelope Shale Formation of the Railroad Gap Oil Field. Office of Scientific and Technical Information (OSTI), December 2001. http://dx.doi.org/10.2172/789609.

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Minero Alejandre, Gemma. Ownership of Databases: Personal Data Protection and Intellectual Property Rights on Databases. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64578.

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When we think on initiatives on access to and reuse of data, we must consider both the European Intellectual Property Law and the General Data Protection Regulation (GDPR). The first one provides a special intellectual property (IP) right – the sui generis right – for those makers that made a substantial investment when creating the database, whether it contains personal or non-personal data. That substantial investment can be made by just one person, but, in many cases, it is the result of the activities of many people and/or some undertakings processing and aggregating data. In the modern digital economy, data are being dubbed the ‘new oil’ and the sui generis right might be con- sidered a right to control any access to the database, thus having an undeniable relevance. Besides, there are still important inconsistences between IP Law and the GDPR, which must be removed by the European legislator. The genuine and free consent of the data subject for the use of his/her data must remain the first step of the legal analysis.
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