scholarly journals The impact of Covid-19 on the port environment: The case of Tanger Med container port, Morocco

2021 ◽  
Vol 234 ◽  
pp. 00025
Author(s):  
Hajar Abous ◽  
Mhamed Hamiche ◽  
Mohamed El Merouani
Keyword(s):  
Global Supply Chains ◽  
Container Port ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Production And Consumption ◽  
The World ◽  
Huge Impact ◽  
Short And Long Term ◽  
The Impact

The appearance of the COVID-19 virus has a huge impact on the economy, where many factories and logistics flows are affected. With global supply chains severely disrupted, production and consumption centers around the world are beginning to be affected by the situation. our study tried to measure the impact of this pandemic on the containers transport in Morocco, our work targeted the Tanger Med port due to its geographic position as the most important link between Africa and Europe, Autoregressive Distributed Lag (ARDL) cointegration technique was applied, this model integrates the term of lag and difference in the modeling of linear series. To verify the existence of long-term relationships, F-bond test was applied. The model was estimated on short and long term. the results were significant and has shown that the activity within Tanger Med port, experienced a shock during the pandemic period.

scholarly journals The relationship between renewable energy and sustainable development in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Secondary Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term ◽  
The Relationship ◽  
Positive Effect

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

scholarly journals Investigating the Income Inequality in Indonesia: An Application of Autoregressive Distributed Lag Approach

2021 ◽  
Vol 2 (4) ◽  
pp. 184-193
Author(s):  
Zulfa Nazli ◽  
Abd. Jamal ◽  
Muhammad Nasir
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Income Inequality ◽  
Urban Population ◽  
Skills Training ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term

This study investigates the effect of economic growth, urban population, unemployment, and human capital on income inequality in Indonesia. Annual data collected from World Development Indicator (WDI) is used from 1984 to 2019. The analytical method of this research is Autoregressive distributed lag (ARDL) to examine the short and long-term relationships. The results show that economic growth positively and significantly affects income inequality in the short and long term. The urban population variable has a significant negative effect in the short term but not in the long term. The unemployment variable has a significant positive effect in the long run. Finally, human capital negatively affects the short term while not in the long term. Based on these findings, it is recommended that the government stabilize inequality by increasing progressive taxes, creating jobs, providing soft skills training beyond formal education, and socializing the concept of commuter work.

scholarly journals The Impact of the Global Financial Crisis, Does It Sustain?

2016 ◽  
Vol 8 (10) ◽  
pp. 82 ◽  
Author(s):  
Bashar Al-Zu'bi ◽  
Hussein Salameh ◽  
Qasim Mousa Abu Eid
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Stock Market Index ◽  
The World ◽  
The Usa ◽  
Short And Long Term ◽  
The Global Financial Crisis ◽  
The Impact

<p>This paper studies the short and long term relationship between S&amp;P500 USA stock market index and the stock market indices of 30 countries around the world over the period June 2010-April 2015. We implement OLS regression and use error correction model to examine the short and long term relationship between the variables. Empirically, we find that there is a relationship on the short and long term between S&amp;P500 and the indices of 27 countries from East Asia, Europe, Latin America, Middle East as well as the countries of Australia and Canada. These results conclude that the global financial crisis of 2007-2008 significantly and lengthy increased the already high level of co-movement between the USA financial market and the observed stock market for 27 countries around the world. The findings from our research are important; however, we believe that further research based on our findings is necessary.</p>

scholarly journals PENERAPAN AUTOREGRESSIVE DISTRIBUTED LAG DALAM MEMODELKAN PENGARUH INFLASI, PERTUMBUHAN EKONOMI, DAN FDI TERHADAP PENGANGGURAN DI INDONESIA

2020 ◽  
Vol 9 (3) ◽  
pp. 250
Author(s):  
Jumhur Jumhur
Keyword(s):  
Economic Growth ◽  
Foreign Investment ◽  
High Speed ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term

This study aims to examine the effect of inflation, economic growth, and foreign investment on unemployment in Indonesia. Using the autoregressive distributed lag (ARDL) analysis method to analyze the 1991-2018 time series data collected from the World Bank's World Development Indicators database. The results found that inflation has a negative and significant effect in the short term but not significant in the long term in Indonesia. Economic growth has a negative and significant effect on both short and             long-term unemployment in Indonesia, and foreign investment has a negative and significant effect on both short and long-term unemployment in Indonesia. Through the ARDL model, this research is able to prove that inflation, economic growth, foreign investment, and budgeting are proven to have long-term cointegration or move together in the long term. The four variables also have a dynamic short-term relationship that has a fairly high speed of adjustment towards equilibrium per year. Based on the results, policymakers, in this case the government must provide a conducive investment environment by eliminating the structural rigidity that exists in the economy to attract investment, both foreign and domestic investment, to encourage economic growth and create jobs in Indonesia.

Intermittent Breaks of Public Order in the Moroccan Political Context

2020 ◽  
Vol 13 (2) ◽  
pp. 27-53
Author(s):  
Ben Ahmed Hougua
Keyword(s):  
Political Culture ◽  
Public Authorities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Frequent Use ◽  
Consumer Prices ◽  
The Social ◽  
Social Landscape ◽  
Short And Long Term

For more than twenty years, politics in Morocco has been witnessing a change in the cycles of protests under the influence of the parameters linked to the economic liberalization and evolution of the processes of disenchantment with a conventional political culture. The frequent use of repertories of collective action has not failed to shake the political and social landscape to the point that the demobilization of an area is followed by uprisings in neighboring sites. The response of public authorities varies according to the intensity and objectives of the social uprisings. This research is to study the evolution, over time, of the links between repression, the index of consumer prices of basic foodstuffs, and social uprisings. It covers about twenty years from January 1997 to November 2018. In addition to the descriptive temporal evolution, the work applies autoregressive distributed lag (ARDL) modeling to examine whether there are short- and long-term associations between the variables mentioned above.

scholarly journals Impact of COVID-19 on China's agricultural trade

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lijuan Cao ◽  
Tianxiang Li ◽  
Rongbo Wang ◽  
Jing Zhu
Keyword(s):  
Food Availability ◽  
Scenario Analysis ◽  
Agricultural Trade ◽  
Policy Implications ◽  
Content Type ◽  
Agricultural Exports ◽  
The World ◽  
Short And Long Term ◽  
The Impact

PurposeThe outbreak of the novel COVID-19 virus has spread throughout the world, causing unprecedented disruption to not only China's agricultural trade but also the world's agricultural trade at large. This paper attempts to provide a preliminary analysis of the impact of the COVID-19 pandemic on China's agricultural importing and exporting from both short- and long-term perspectives.Design/methodology/approachThis study seeks to analyze how the outbreak of COVID-19 could potentially impact China's agricultural trade. With respect to exports, the authors have pinpointed major disruptive factors arising from the pandemic which have affected China's agricultural exports in both the short and long term; in doing so, we employ scenario analysis which simulates potential long-term effects. With regard to imports, possible impacts of the pandemic regarding the prospects of food availability in the world market are investigated. Using scenario analysis, the authors estimate the potential change in China's food market—especially meat import growth—in light of the implementation of the newly signed Sino-US Economic and Trade Agreement (SUETA).FindingsThe results show that China's agricultural exports have been negatively impacted in the short-term, mostly due to the disruption of the supply chain. In the long term, dampened external demand and potential imposition of non-tariff trade barriers (NTBs) will exert more profound and lasting negative effects on China's agricultural export trade. On the other hand, despite panic buying and embargoing policies from some exporting and importing countries, the world food availability and China's food import demand are still optimistic. The simulation results indicate that China's import of pork products, in light of COVID-19 and the implementation of SUETA, would most likely see a sizable climb in quantity, but a lesser climb in terms of value.Originality/valueAgricultural trade in China has been a focal-point of attention in recent years, with new challenges slowing exports and increasing dependence on imports for food security. The outbreak of the COVID-19 pandemic adds significant uncertainty to agricultural trade, giving rise to serious concerns regarding its potential impact. By exploring the impact of the unprecedented pandemic on China's agricultural trade, this study should contribute to a better understanding of the still-evolving pandemic and shed light on pertinent policy implications.

scholarly journals The impact of financial policy on economic growth in Jordan (2000-2017)

2020 ◽  
Vol 71 (2) ◽  
pp. 97-108
Author(s):  
Nawaf Alghusin ◽  
Ayman Abdalmajeed Alsmadi ◽  
Esraa Alkhatib ◽  
Atala Mohammad Alqtish
Keyword(s):  
Economic Growth ◽  
Financial Policy ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Domestic Credit ◽  
Long Time ◽  
Taxation System ◽  
The Impact

The aim of this paper is to examine the impact of financial policy on rate of economic growth in Jordan for the period of (2000-2017) taking into the considerations the fluctuations of taxation system. Autoregressive Distributed Lag (ARDL) approach has been utilized in order to analyze the long term relationship between study variable which are; money supply (M2), domestic credit provided by banks (DCBS) and real Gross Domestic Product GDP. The results shows that, money (M2) and domestic credit provided by banks (DCBS) can effects on GDP in Jordan for the study period. The taxation system in Jordan has been fluctuated many times during 2017 and 2018, which made the data partly not available. This led the researchers to spend long time to find an accurate data in order to finalize this study. This study will add good practical evidence on the impact of changing the taxation system positively or negatively on the economic growth.

scholarly journals The Impact of Financial Development on Carbon Emission: Evidence from China

2020 ◽  
Vol 12 (17) ◽  
pp. 6959 ◽  
Author(s):  
Mingyuan Guo ◽  
Yanfang Hu
Keyword(s):  
Financial Development ◽  
Carbon Emissions ◽  
Term Effect ◽  
Short Term ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
The Impact

This paper studies the impact of financial development on carbon emissions in China from 1997 to 2016. First, this paper uses the entropy method to construct a synthetical index to measure the financial development. Meanwhile, a two-dimensional panel framework is introduced to group provinces in the panel analysis. The estimation results of the time series autoregressive distributed lag model show that for China as a whole, there is a weak carbon emissions reduction effect of financial development, whether it is a long-term effect or a short-term effect. The estimation results of the panel autoregressive distributed lag model also support that an increase in financial development suppresses carbon emissions. Although financial development inhibits carbon emissions both in the short run and in the long run, the absolute value of the long-term coefficient of financial development is significantly greater than that of the short-term coefficient.

scholarly journals The Linkage between Oil and Non-Oil GDP in Saudi Arabia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 202
Author(s):  
Sami Alabdulwahab
Keyword(s):  
Saudi Arabia ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Vision 2030 ◽  
Symmetric Effect ◽  
The Impact

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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