scholarly journals The Economic Impact of the Qualifying Industrial Estates in Jordan on the Jordanian Economic Activity: A Case Study on Al-Hassan Industrial Estate, Jordan, (2000-2014)

2016 ◽  
Vol 9 (10) ◽  
pp. 169 ◽  
Author(s):  
Talal M. Bataineh ◽  
Khaled M. Abu Aligah ◽  
Ateyah M Alawneh
Keyword(s):  
Gross Domestic Product ◽  
Economic Activity ◽  
Statistical Significance ◽  
The United States ◽  
Domestic Product ◽  
Economic Activities ◽  
Industrial Estates ◽  
Industrial Estate ◽  
Investment Size ◽  
The Impact

<p>This study aims at exploring the impact of exports, employment,, investment size, and the number of companies in Industrial estate and the economic activity in Jordan from 2000-2014. The economic activity was represented by the Gross Domestic Product (GDP). Statistical analysis for the model of the study demonstrated that there is a positive relationship, with statistical significance, with regard to the exports of the industrial estates in Al Hassan Industrial estate. This means that the export of Al Hassan industrial estate positively contributes to enhance the economic activities in Jordan. However, the study found a negative correlation, with a statistical significance, between employments in the industrial estates of Al Hassan industrial estates with the Gross Domestic product (GDP) since most employees at the estate are from different Jordanian nationalities. The study has also found a positive correlation between the industrial companies’ size in Al Hassan Industrial estate with the GDP, but with no significance statistical significance because the inputs of productivity are imported from outside of the country based on the partnership agreement with the United States of America, which also doesn’t reflect positively on the economic activity in Jordan. The study has come up with some significant recommendations. There is an urgent necessity to enact regulations and rules for the companies in Al-Hassan industrial estate to employ local Jordanian citizens and motivate the national investment through the financial policies and adopting the policy of diplomacy of the Jordanian investor.</p>

scholarly journals Цифровая синергетика взаимодействия внутригодовой активности экономической деятельности и годовой динамики валового внутреннего продукта

2020 ◽  
pp. 118-131
Author(s):  
Michail Novikov
Keyword(s):  
Gross Domestic Product ◽  
Economic Activity ◽  
Domestic Product ◽  
Short Term ◽  
Dynamic Component ◽  
Cyclic Component ◽  
The Republic ◽  
The Impact ◽  
Activity Energy

According to the results of the decomposition of the observed levels of quarterly GDP indicators statistically relevant components of its dynamics are identified: the dynamic component of seasonal cyclic nature, the trend-cyclic component, and that of short-term fluctuations. A methodology is suggested for studying the impact of within-year economic activity energy on the dynamics of annual GDP indicators. The research analytics was tested on the actual materials of annual and quarterly indicators of the Gross Domestic Product of the Republic of Belarus over the period of 2009–2017.

scholarly journals INFLUENCE OF TOURISM ON GROSS DOMESTIC PRODUCT (ON THE EXAMPLE OF OIL PRODUCING COUNTRIES)

2021 ◽  
Vol 31 (3) ◽  
pp. 371-379
Author(s):  
E.V. Kutyashova ◽  
O.E. Danilin
Keyword(s):  
Economic Development ◽  
Gross Domestic Product ◽  
Raw Materials ◽  
Domestic Product ◽  
Economic Activities ◽  
Economic Sectors ◽  
Average Growth ◽  
Level Of Economic Development ◽  
National Economies ◽  
The Impact

The article is devoted to the peculiarities of the economic development of oil-producing countries, the impact of tourism on the economy of energy exporting countries and the formation of gross domestic product. The high dependence of oil-producing countries on the export of raw materials, fluctuations in the world oil market and awareness of the limited resources require a policy of diversification of national economies. Overcoming the dependence of the economy on a narrow range of economic activities, countries choose rapidly developing economic sectors that provide investment inflows, high export earnings and job creation. One such sector is tourism and travel. Within the framework of the study, countries with a high degree of dependence on energy exports were identified and grouped according to the level of economic development. To identify the role of tourism in the formation of the gross domestic product and the development of oil-producing countries, the average growth rates of the gross domestic product, the contribution of tourism to GDP, and investment in tourism were calculated for the period from 2010 to 2019. The countries that have chosen tourism as the direction of economic diversification are highlighted. An assessment of the impact of tourism on the rates of development of national economies of oil-producing countries is given.

Assessing the impact of marine production manufacturing on gross domestic product indicators

2018 ◽  
Vol 3 (4) ◽  
pp. 338-353 ◽  
Author(s):  
Faris ALshubiri
Keyword(s):  
Gross Domestic Product ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Strong Relationship ◽  
Ordinary Least Squares ◽  
Coastal Ecosystems ◽  
Domestic Product ◽  
Content Type ◽  
Gcc Countries ◽  
The Impact

Purpose This paper aims to assess and empirically analyze the impact of marine production manufacturing on gross domestic product (GDP) indicators as a comparative study in Gulf Cooperation Council (GCC) countries. Design/methodology/approach This study used analytical quantitative approaches to assess the impact of marine production manufacturing on GDP between GCC countries over the period from 2007 to 2015. The data were collected from Global Competitiveness Reports during 2006-2016 and from Food and Agriculture Organization of the United Nations, FAO 2015 reports. Findings The results show that Saudi Arabia country has the highest production of marine while Bahrain country is the lowest in GCC. The results of ordinary least squares test show that marine production has a statistical significance on GDP indicators as Pearson correlation matrix shows a strong relationship between all variables. Practical implications The main conclusion is that GCC countries must adopt a regional strategy to support maritime activities, especially in the light of green environmental fluctuations. Integrated management plans are also needed to protect vital coastal ecosystems while allowing economic growth and ensuring a better quality of life for all coastal populations. Comprehensive and collaborative leadership provides effective long-term management of coastal ecosystems in the GCC. In addition, GCC countries have high competition with each other for their market share in the global export-based marine production manufacturing. Originality/value This paper is the first to present most wealthy GCC countries in terms of marine production manufacturing. Marine production manufacturing introduces to create a new competitive market that generates distinctive internal capabilities for survival and growth in international markets.

scholarly journals IMPACT OF THE UNITED STATES AND CHINA TRADE WAR ON GROWTH IN ASEAN COUNTRIES

2019 ◽  
Vol 7 (3) ◽  
pp. 64-78
Author(s):  
Kamran Jafarpour Ghaleh Teimouri ◽  
Seyed Mohammad Taghi Raeissadat
Keyword(s):  
United States ◽  
Gross Domestic Product ◽  
The United States ◽  
United States Government ◽  
Domestic Product ◽  
The World ◽  
Trade War ◽  
Asean Countries ◽  
The Impact ◽  
United States Trade

For more than a century, American had the biggest economy and the highest Gross Domestic Product (GDP) about 24.1%. On the other side of the world. Recently, China with 15.1% Gross Domestic Product (GDP) placed as the second biggest and the most influential economy in the world in 2017 (World Bank, 2019). Therefore, China and United States together have over 40% of the world GDP with the huge spatial economic influence in the world. The impact of a trade war between the United States and China has a negative influence in other countries and regions in particular in the ASEAN countries. The ASEAN countries are very exposed to China and United States they are more vulnerable to trade war between the United States and China. This study first evaluates the degree of negative impact of China and United States trade war on ASEAN countries. After that, show how an effective regional economic integration can minimize such problems in future. This research is based on available secondary data in United States government reports (e.g., United States Department of State, Office of United States trade) and (e.g. OCBC Bank and ASEAN). Based on data and research the descriptive-analytical method is used in this paper.

scholarly journals The Role of TNCs in U.S. Economic Strategy

2021 ◽  
Vol 5 (520) ◽  
pp. 42-48
Author(s):  
O. V. Chernova ◽  
◽  
D. H. Zaiats ◽  
Keyword(s):  
United States ◽  
Gross Domestic Product ◽  
Multinational Corporations ◽  
United States Of America ◽  
Transnational Corporations ◽  
The United States ◽  
Domestic Product ◽  
Economic Strategy ◽  
The Impact ◽  
The U.S

The article is aimed at analyzing the impact of American transnational corporations (TNCs) on the economic strategy of the United States of America. During the research, the essence of the category of «transnational corporation» is considered and the peculiarities of functioning of the leading TNCs are defined. The key vectors of U. S. economic strategy at the present stage are specified. The activities of transnational (multinational) corporations in the United States of America is analyzed. The article carries out a comprehensive analysis of the existing ratings of American transnational corporations. The key indicators of their activity in various spheres of public production and sectors of economy are analyzed. The impact of transnational corporations on the U.S. economy is evaluated by analyzing the dynamics of exports, imports, indices of gross domestic product (GDP) and gross domestic product per capita. The activities of American TNCs in the territories of foreign countries is studied. The analysis of the dynamics of direct foreign investment of the United States of America abroad and the scale of investment in the national economy of the country from abroad is carried out. The geographical structure of foreign direct investment from the United States of America is considered. Existing threats to the U.S. economy caused by transnational corporations are identified, and their consequences are estimated. Conclusions have been drawn on the future prospects of transnationalization of the US economy and the impact of global companies on the economic strategy of the United States of America.

More on Non-White Poverty and Economic Growth

2011 ◽  
Author(s):  
Gary A Hoover ◽  
Sondra R Collins ◽  
Mehmet E. Yaya
Keyword(s):  
United States ◽  
Economic Growth ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Economic Activity ◽  
The United States ◽  
Seemingly Unrelated Regressions ◽  
White Poverty ◽  
The Impact ◽  
Racial Ethnic

We use Seemingly Unrelated Regressions (SUR), to explore the impact of three different measures of economic activity -- growth in Gross Domestic Product (GDP), unemployment, and manufacturing employment -- on poverty among whites, blacks and Hispanics in the United States. This analysis is unique in that we further disaggregate the data, by looking at the impact of growth across racial/ethnic groups in four census regions. We find that the impacts of the various measures of economic activity vary greatly by the group and the region. In particular, Hispanic poverty tends to be strongly related to changes in the unemployment rate, while white poverty tends to be strongly related to changes in manufacturing.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

The specifics of shadow economic activity in Russia

2020 ◽  
Vol 19 (10) ◽  
pp. 1896-1915
Author(s):  
E.R. Ermakova ◽  
O.M. Lizina
Keyword(s):  
Economic Activity ◽  
Shadow Economy ◽  
Integrated Approach ◽  
Economic Activities ◽  
Reproductive Process ◽  
Scientific Methods ◽  
Current Period ◽  
Russian Economy ◽  
Analysis And Synthesis ◽  
The Impact

Subject. The article addresses the specifics of shadow economic activities in reformed Russia in the context of systemic transformations. Objectives. We focus on determining the role of shadow economy in the reproductive process, identifying and understanding the specifics of underground economic activity of the Russian economy. Methods. The study rests on general scientific methods (scientific abstraction, unity of historical and logical, analysis and synthesis, induction and deduction, comparison and analogy) and special methods of cognition (monetary methods). We employ the systems and integrated approach. The official statistics, regulations, works of leading researchers on shadow economy expansion, resources of reference and legal systems like Garant and ConsultantPlus serve as the study's information base. Results. We present a retrospective rapid analysis of the extent of shadow economic activity in the domestic economy, establishing the relationships with the processes that take place at different stages of the country's development. We also reveal the specifics of shadow economy relations in Russia, factors that play a key role in expansion for a particular period, a shift to another form of shadow economy. The study characterizes the current period of development, assesses the impact of external shocks on shadow economy expansion. Conclusions. The current period is characterized by the digitization of shadow relations, the shift of corruption to the upper echelons of power, the continued outflow of capital abroad, and increased penalties for underground activities.

scholarly journals The impact of gross domestic product on the financing and investment efficiency of China’s commercial banks

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Zhen Shi ◽  
Shijiong Qin ◽  
Yung-ho Chiu ◽  
Xiaoying Tan ◽  
Xiaoli Miao
Keyword(s):  
Gross Domestic Product ◽  
Commercial Banks ◽  
Domestic Product ◽  
Investment Efficiency ◽  
Internal Factors ◽  
Slowing Down ◽  
Return On Capital ◽  
Overall Efficiency ◽  
Financing And Investment ◽  
The Impact

AbstractChina’s commercial banks have developed at a very rapid speed in recent decades. However, with global economic development slowing down, the impact of gross domestic product growth as an exogenous factor cannot be ignored. Most existing studies only consider the internal factors of banks, and neglect their external economic factors. This study thus adopts an undesirable dynamic slacks-based measure under an exogenous model in combination with the Kernel density curve to explore the efficiency of state-owned commercial banks (SOCBs), joint-stock commercial banks (JSCBs), and urban commercial banks (UCBs) in China from 2012 to 2018. The results show that SOCBs have the highest overall efficiency, followed by JSCBs, then UCBs. The efficiencies of SOCBs, JSCBs, and UCBs in the financing stage are greater than those in the investment stage, indicating that the latter stage brings down overall efficiency. Thus, all commercial banks need to focus on the efficiency of non-performing loans and return on capital. Finally, SOCBs need to strengthen internal controls, reduce non-performing loans and improve return on capital. JSCBs should actively expand its business while controlling costs, and UCBs should optimize its management.

An improved grey Markov chain model with ANN error correction and its application in gross domestic product forecasting

2021 ◽  
pp. 1-11
Author(s):  
Yuan Zou ◽  
Daoli Yang ◽  
Yuchen Pan
Keyword(s):  
Neural Network ◽  
Markov Chain ◽  
Gross Domestic Product ◽  
Error Correction ◽  
Historical Data ◽  
Markov Chain Model ◽  
Back Propagation ◽  
The United States ◽  
Domestic Product ◽  
Chain Model

Gross domestic product (GDP) is the most widely-used tool for measuring the overall situation of a country’s economic activity within a specified period of time. A more accurate forecasting of GDP based on standardized procedures with known samples available is conducive to guide decision making of government, enterprises and individuals. This study devotes to enhance the accuracy regarding GDP forecasting with given sample of historical data. To achieve this purpose, the study incorporates artificial neural network (ANN) into grey Markov chain model to modify the residual error, thus develops a novel hybrid model called grey Markov chain with ANN error correction (abbreviated as GMCM_ANN), which assembles the advantages of three components to fit nonlinear forecasting with limited sample sizes. The new model has been tested by adopting the historical data, which includes the original GDP data of the United States, Japan, China and India from 2000 to 2019, and also provides predications on four countries’ GDP up to 2022. Four models including autoregressive integrated moving average model, back-propagation neural network, the traditional GM(1,1) and grey Markov chain model are as benchmarks for comparison of the predicted accuracy and application scope. The obtained results are satisfactory and indicate superior forecasting performance of the proposed approach in terms of accuracy and universality.

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