The impact of international sanctions on energy security

2020 ◽  
pp. 0958305X2093768
Author(s):  
Jun Wen ◽  
Xinxin Zhao ◽  
Quan-Jing Wang ◽  
Chun-Ping Chang
Keyword(s):  
Regression Analysis ◽  
Energy Security ◽  
Negative Impact ◽  
Economic Sanctions ◽  
Fixed Effect Model ◽  
Policy Makers ◽  
Effect Model ◽  
Different Types ◽  
International Sanctions ◽  
The Impact

This study first investigates different types of sanctions on energy security by employing data from a panel of target countries covering the period 1996–2014 and using the panel fixed effect model. Our evidence indicates that international sanctions do significantly negatively influence the energy security of target countries in some cases. Specifically, unilateral sanctions, U.S. sanctions, economic sanctions, and the intensity of sanctions have a significantly negative impact on energy security. However, plurilateral sanctions, EU sanctions, UN sanctions, and non-economic sanctions have no significant impact on the energy security of target countries. The results of endogeneity concerns are also consistent with the results of the basic regression analysis. Overall, our empirical findings merit particular attention from policy makers of target countries to ensure their energy security when facing international sanctions.

scholarly journals Managing Climate Change for Wheat Production: An Evidence from Southern Punjab, Pakistan

2019 ◽  
Vol 1 (2) ◽  
pp. 48-58
Author(s):  
Muhammad Haseeb Raza ◽  
Allah Bakhsh ◽  
Muhammad Kamran
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Wheat Production ◽  
Panel Model ◽  
Effect Model ◽  
Tube Wells ◽  
Relationship Of ◽  
The Impact

The current research study was conducted to estimate the impact of climate change on wheat production by using panel data from 1998-2014.  For this purpose four districts were selected from southern Punjab, Pakistan. Panel model of fixed effect (FE) was estimated at region level for wheat productivity utilizing climatic and non-climatic variables based on season. The conclusion of the study showed that non-climatic, i.e. inputs, number of tractors, area under wheat, number of tube wells and fertilizer consumption in each district have significant impact on the wheat production. The fixed effect model results revealed that the increase in temperature has significance impact on the month of the November and January, while it showed negative impact in the month of April. The results also showed a non-linear relationship of precipitation for the months of April and November.

scholarly journals IMPACT OF MACROECONOMIC FACTORS ON FOREIGN DIRECT INVESTMENT IN SELECTED SOUTHEASTERN EUROPEAN COUNTRIES

TEME ◽  
2019 ◽  
pp. 1237 ◽  
Author(s):  
Jelena Andrašić ◽  
Vera Mirović ◽  
Branimir Kalaš
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Negative Impact ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
European Countries ◽  
Market Size ◽  
Macroeconomic Factors ◽  
Effect Model ◽  
The Impact

Foreign direct investment has a significant role in Southeastern European countries. The aim of the paper is reflected in assessing the character and nature of the relationship between macroeconomic factors and foreign direct investment in Southeastern European countries. Further, the subject of paper includes the examination of the impact of selected macroeconomic variables on foreign direct investment in six countries for the period from 2000 to 2012. The selected countries are Albania, Bosnia and Herzegovina, Bulgaria, Macedonia, Romania and Serbia. The research includes an examination impact of market size, national competitiveness and employment on foreign direct investment. By using the Hausman test, it was confirmed that the fixed effect model is an appropriate model in panel analysis. Based on the result, it determined the positive impact of market size, while the industry's share of GDP and employment have a negative impact on this variable. Also, the results confirmed that only the market size of the countries significantly affected on the flow of foreign direct investment in Southeastern European countries.

scholarly journals The Impact of Insurance Company's Profitability on the Economic Growth

2019 ◽  
Vol 8 (6S3) ◽  
pp. 693-699
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Negative Impact ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Hausman Test ◽  
Return On Equity ◽  
Effect Model ◽  
The Impact

This paper investigates the impact of Jordanian insurance company's profitability on the economic growth during the period 2007-2016. Regression analysis using random effect model was adopted after applying Hausman test. The results reveals that earning per share, and net realized premiums to shareholders equity have a negative impact on the economic growth, also a significant positive impact for the return on equity on the economic growth has been founded. According to the results the study recommended to encourage individuals and investors to participate in insurance in various fields.

scholarly journals The Impact of Air Quality on Population Migration

2020 ◽  
Vol 15 (2) ◽  
pp. 23-32
Author(s):  
Ke Wang ◽  
◽  
Yiwei Wang ◽  
Chun-Ping Chang
Keyword(s):  
Air Quality ◽  
Panel Data ◽  
Negative Impact ◽  
Fixed Effect Model ◽  
Education Level ◽  
Population Migration ◽  
Control Factors ◽  
Effect Model ◽  
Per Capita ◽  
The Impact

Based on annual panel data of OECD countries from 1995 to 2014, this paper analyzes the impact of air quality (including per capita CO2, PM2.5, and SO emissions) on the immigrant population through a panel fixed-effect model, while employing control factors such as GDP, unemployment rate, and education level. Overall, we provide evidence that air quality is a key determinant of immigration in the selected countries, and in particular the host country’s emissions have a negative impact on immigrants. Greater emissions imply fewer immigrants, while fewer emissions denote more immigrants. Our findings provide countries with a way to more accurately estimate migrant inflow and offer an idea for OECD members on how to attract immigrants via an improvement in environmental quality.

scholarly journals DRIVERS OF WINE PRODUCTION IN THE EUROPEAN UNION: A MACROECONOMIC PERSPECTIVE

New Medit ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 85-96
Author(s):  
Niaz Bashiri Behmiri ◽  
Leonida Correia ◽  
Sofia Gouveia
Keyword(s):  
European Union ◽  
Negative Impact ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
Dynamic Panel Data ◽  
Wine Industry ◽  
The European Union ◽  
Wine Production ◽  
Policy Makers ◽  
Effect Model

Over the last decades, the European wine industry has been object of increased international competition, which has implications for the dynamics of wine production. This paper examines the underlying factors of wine production in the European Union (EU) from a macroeconomic perspective. We apply an expanded Cobb-Douglas production function, which includes monetary indicators. A dynamic panel data GMM approach along with pooled OLS and fixed effect model for the period from 1999-2014 are applied to estimate the model. We find a positive impact from labour, capital and wine export and a negative impact from interest rate to wine production; however, no robust and significant impact is observed from wine import as well as from inflation and exchange rates. Our results indicate that EU wine production is influenced by monetary policy, which could be a useful instrument for policy makers promoting wine production in this region.

scholarly journals The Impact of the COVID-19 Pandemic on the Working Conditions, Employment, Career Development and Well-Being of Refugee Researchers

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 71
Author(s):  
Ourania Tzoraki ◽  
Svetlana Dimitrova ◽  
Marin Barzakov ◽  
Saad Yaseen ◽  
Vasilis Gavalas ◽  
...  
Keyword(s):  
Online Survey ◽  
Negative Impact ◽  
Well Being ◽  
Appropriate Technology ◽  
Public Authorities ◽  
Policy Makers ◽  
Home Setting ◽  
The Public ◽  
Work From Home ◽  
The Impact

The ongoing ‘refugee crisis’ of the past years has led to the migration of refugee researchers (RRs) to European countries. Due to the COVID-19 pandemic, RRs often had to work from home and/or to continue their social, cultural and economic integration process under new conditions. An online survey carried out to explore the impact of the pandemic on the refugee researchers showed that RRs found it difficult to adapt their everyday working life to the ‘home’ setting. The majority have had neither a suitable work environment at home nor the appropriate technology. Although they stated that they are rather pleased with the measures taken by the public authorities, they expressed concern about their vulnerability due to their precarious contracts and the bureaucratic asylum procedures, as the pandemic has had a negative impact on these major issues. The majority of RRs working in academia seem not to have been affected at all as far as their income is concerned, while the majority of those employed in other sectors became unemployed during the pandemic (58%). Recommendations are provided to the public authorities and policy makers to assist RRs to mitigate the consequences of the pandemic on their life.

scholarly journals The Influence of Urban Sprawl on Air Pollution and the Mediating Effect of Vehicle Ownership

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1261
Author(s):  
Aiping Tao ◽  
Qun Liang ◽  
Peng Kuai ◽  
Tao Ding
Keyword(s):  
Air Pollution ◽  
Urban Sprawl ◽  
Negative Impact ◽  
Empirical Support ◽  
Mediating Effect ◽  
Vehicle Ownership ◽  
Mediating Role ◽  
Effect Model ◽  
Significant Negative Impact ◽  
The Impact

Based on the panel data of 224 prefecture-level and above cities in China from 2003 to 2016, this paper empirically studies the impact of urban sprawl on air pollution and introduces a mediating effect model to test the mediating role of vehicle ownership concerning the impact of urban sprawl on air pollution. The research in this paper arrives at three conclusions. First, urban sprawl has a significant positive effect on air pollution, and this conclusion is still valid after solving the endogeneity problem and conducting a robustness test. Second, the results of mediating effect test show that urban sprawl indirectly affects air pollution through the partial mediating effect of vehicle ownership. By removing the mediating effect, urban sprawl has a significant negative impact on air pollution, indicating that the mediating effect of vehicle ownership is higher concerning the impact of urban sprawl on air pollution. Third, further panel quantile regression results show that the higher the level of air pollution, the weaker the mediating effect of vehicle ownership and the stronger the direct effect of urban sprawl on air pollution. These conclusions can provide some empirical support for solving the air pollution problems caused by urban sprawl in China.

scholarly journals Threat or Corrective? Assessing the Impact of Populist Parties in Government on the Qualities of Democracy: A 19-Country Comparison

2021 ◽  
pp. 1-21
Author(s):  
Davide Vittori
Keyword(s):  
Negative Impact ◽  
Quality Of Democracy ◽  
Clear Cut ◽  
Liberal Democratic ◽  
Country Comparison ◽  
Democratic Regimes ◽  
Different Types ◽  
The Impact

Abstract Scholars have long debated whether populism harms or improves the quality of democracy. This article contributes to this debate by focusing on the impact of populist parties in government. In particular, it inquires: (1) whether populists in government are more likely than non-populists to negatively affect the quality of democracies; (2) whether the role of populists in government matters; and (3) which type of populism is expected to negatively affect the quality of liberal-democratic regimes. The results find strong evidence that the role of populists in government affects several qualities of democracy. While robust, the findings related to (2) are less clear-cut than those pertaining to (1). Finally, regardless of their role in government, different types of populism have different impacts on the qualities of democracy. The results show that exclusionary populist parties in government tend to have more of a negative impact than other forms of populism.

scholarly journals How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Konstantin D. Pandl ◽  
Scott Thiebes ◽  
Manuel Schmidt-Kraepelin ◽  
Ali Sunyaev
Keyword(s):  
Disease Spread ◽  
Contact Tracing ◽  
Behavioral Characteristics ◽  
Policy Makers ◽  
Detection Range ◽  
Proximity Detection ◽  
Effective Technology ◽  
Different Types ◽  
Effectiveness And Efficiency ◽  
The Impact

AbstractTo combat the COVID-19 pandemic, many countries around the globe have adopted digital contact tracing apps. Various technologies exist to trace contacts that are potentially prone to different types of tracing errors. Here, we study the impact of different proximity detection ranges on the effectiveness and efficiency of digital contact tracing apps. Furthermore, we study a usage stop effect induced by a false positive quarantine. Our results reveal that policy makers should adjust digital contact tracing apps to the behavioral characteristics of a society. Based on this, the proximity detection range should at least cover the range of a disease spread, and be much wider in certain cases. The widely used Bluetooth Low Energy protocol may not necessarily be the most effective technology for contact tracing.

The Impact of the Credit Channel on Macroeconomic Variables and Bank Characteristics in the Brazilian Economy from 2009 to 2018

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Mohammad Farajnezhad
Keyword(s):  
Monetary Policy ◽  
Fixed Effect Model ◽  
Credit Channel ◽  
Macroeconomic Variables ◽  
Brics Countries ◽  
Effect Model ◽  
Level Data ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate ◽  
The Impact

This article uses commercial bank-level data to examine a credit channel of the monetary policy transmission mechanism in the Brazilian economy from BRICS countries.  Static panel data with a fixed-effect model are used for data analysis. Using a sample of 212 commercial banks from 2009 to 2018. According to the findings of this study, there is a significant and positive relationship between macroeconomic variables that affect the interest rate and GDP with the loan amount, but not with the inflation rate. Also, it is reasonable to conclude that banks in Brazil react to monetary policy in a variety of ways.

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