Disentangling the impact of trade barriers on wages: evidence from the MENA region

2022 ◽  
pp. 1-27
Author(s):  
Nora Aboushady ◽  
Yasmine Kamal ◽  
Chahir Zaki
Keyword(s):  
Trade Barriers ◽  
Mena Region ◽  
The Impact

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

What Drives Banking Profitability During Financial Crisis and Political Turmoil? Evidence from the MENA Region

2021 ◽  
pp. 097491012110311
Author(s):  
Salma Zaiane ◽  
Fatma Ben Moussa
Keyword(s):  
Financial Crisis ◽  
Political Instability ◽  
Generalized Method Of Moments ◽  
Bank Performance ◽  
Net Income ◽  
Mena Region ◽  
Factors Affecting ◽  
Mena Countries ◽  
Conventional Banks ◽  
The Impact

The purpose of the study is to identify bank specific, macroeconomic, and stability determinants of both conventional and Islamic bank performance. We also try to identify evidence on the impact of financial crisis and political instability during the Arab Spring (AS) period. The study covers a sample of 123 banks (34 Islamic banks and 89 conventional banks from 13 Middle East and North Africa [MENA] countries) over the period 2000–2013. We use different proxies of performance as dependent variables: return on asset (ROA), return on equity (ROE), net income margin (NIM), and estimate several regressions using the dynamic generalized method of moments. Our results reveal that bank size, asset quality, specialization, and diversification are the major bank specific factors affecting performance of Islamic and conventional banks. Besides, macroeconomic indicators (GDP and inflation) and regulatory quality influence both types of banks differently. Finally, both the financial crisis and political instability negatively affect bank performance.

scholarly journals Influence of COVID-19 on lifestyle behaviors in the Middle East and North Africa Region: a survey of 5896 individuals

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Mohamed Abouzid ◽  
◽  
Dina M. El-Sherif ◽  
Nael Kamel Eltewacy ◽  
Nesrine Ben Hadj Dahman ◽  
...  
Keyword(s):  
Social Media ◽  
Middle East ◽  
Food Consumption ◽  
North Africa ◽  
Fast Food ◽  
Online Survey ◽  
Eating Habits ◽  
Lifestyle Behaviors ◽  
Mena Region ◽  
The Impact

Abstract Background Coronavirus disease (COVID-19) pandemic has affected health and lifestyle behaviors of people globally. This project aims to identify the impact of COVID-19 on lifestyle behavior of individuals in the Middle East and North Africa (MENA) region during confinement. Methods We conducted an online survey in 17 countries (Egypt, Jordan, United Arab Emirates, Kuwait, Bahrain, Saudi Arabia, Oman, Qatar, Yemen, Syria, Palestine, Algeria, Morocco, Libya, Tunisia, Iraq, and Sudan) from the MENA region on August and September 2020. The questionnaire included self-reported information on lifestyle behaviors, including physical activity, eating habits, smoking, watching television, social media use and sleep before and during the pandemic. Logistic regression was performed to analyze the impact of COVID-19 on lifestyle behaviors. Results A total of 5896 participants were included in the final analysis and 62.8% were females. The BMI of the participants was 25.4 ± 5.8 kg/m2. Around 38.4% of the participants stopped practicing any physical activities during the confinement (P < 0.001), and 57.1% reported spending more than 2 h on social media (P < 0.001). There were no significant changes in smoking habits. Also, 30.9% reported an improvement in their eating habits compared with 24.8% reported worsening of their eating habits. Fast-food consumption decreased significantly in 48.8% of the study population. This direct/indirect exposure to COVID-19 was associated with an increased consumption of carbohydrates (OR = 1.09; 95% CI = 1.02–1.17; P = 0.01), egg (OR = 1.08; 95% CI = 1.02–1.16; P = 0.01), sugar (OR = 1.09; 95% CI = 1.02–1.16; P = 0.02), meat, and poultry (OR = 1.13; 95% CI = 1.06–1.20; P < 0.01). There was also associated increase in hours spent on watching television (OR = 1.07; 95% CI = 1.02–1.12; P < 0.01) and social media (OR = 1.09; 95% CI = 1.01–1.18; P = 0.03). However, our results showed a reduction in sleeping hours among those exposed to COVID-19 infection (OR = 0.85; 95% CI = 0.77–0.94; P < 0.01). Conclusions The COVID-19 pandemic was associated with an increase in food consumption and sedentary life. Being exposed to COVID-19 by direct infection or through an infected household is a significant predictor of amplifying these changes. Public health interventions are needed to address healthy lifestyle behaviors during and after the COVID-19 pandemic.

scholarly journals Islamist Women as Candidates in Elections: A Comparison of the Party of Justice and Development in Morocco and the Muslim Brotherhood in Egypt

2017 ◽  
Vol 57 (3-4) ◽  
pp. 329-359 ◽  
Author(s):  
Katarína Škrabáková
Keyword(s):  
Supply And Demand ◽  
Muslim Brotherhood ◽  
Candidate Selection ◽  
Demand Model ◽  
Mena Region ◽  
External Interference ◽  
Female Candidates ◽  
The Muslim Brotherhood ◽  
Supply And Demand Model ◽  
The Impact

This paper examines the legislative recruitment of women from conservative Islamist parties. It questions the common assumption that generally all Islamist parties are equally hostile to political participation and representation of women. For this purpose, two of the electorally most successful Islamist groups in the MENA region are compared, namely the Egyptian Muslim Brotherhood (MB) and its Moroccan offshoot, the Party of Justice and Development (PJD). The article seeks an explanation for diverging trends in female candidacy between these conservative religious movements, using the traditional supply and demand model of candidate selection. It argues that the less centralized and the more institutionalized parties (as is the case with the PJD) seem to be better equipped to facilitate women’s candidacy than the more oligarchic ones (the MB). In order to fully grasp the reasons behind the diverging trends in the nomination of female candidates from both Islamist parties, cultural factors are scrutinized as well. The article highlights the limits of the supply and demand model of candidate selection, which cannot explain instances of unexpected change in recruitment strategies based on external interference. Furthermore, it does not provide us the means to assess the impact of individual candidates’ ‘feminist credentials’ on overall female representation.


EVALUATING THE IMPACT OF SANITARY AND PHYTOSANITARY MEASURES ON AGRICULTURAL TRADE: EVIDENCE FROM THAI FRUIT EXPORTS TO CHINA

2021 ◽  
pp. 1-19
Author(s):  
SASIWOOTH WONGMONTA
Keyword(s):  
Recent Decade ◽  
Agricultural Trade ◽  
Substantial Effect ◽  
Trade Barriers ◽  
Sample Period ◽  
Sectoral Analysis ◽  
Gravity Equations ◽  
Important Challenge ◽  
Phytosanitary Measures ◽  
The Impact

Food safety concerns have become increasingly important challenge for agricultural trade. Sanitary and phytosanitary (SPS) measures are often considered as major non-tariff trade barriers, which have surged rapidly over the recent decade. This study systematically investigates the impact of China’s SPS measures on Thai fruit exports. The panel dataset is constructed with 17 Thai fruit items for the sample period 2000–2018. Gravity equations are estimated to quantify the trade effects of SPS measures on the value of fruit exports from Thailand to China. The results from the sectoral analysis reveal that the restrictiveness of SPS measures has a positive and substantial effect on export volumes. This suggests that non-arbitrary and informative SPS requirements imposed by a large importing country would help facilitate the agricultural trade.

scholarly journals Environmental Performance and Economic Growth in Middle East and North Africa Countries

2019 ◽  
Vol 9 (24) ◽  
Author(s):  
Hichem Dkhili
Keyword(s):  
Economic Growth ◽  
Middle East ◽  
North Africa ◽  
Environmental Performance ◽  
Middle Eastern ◽  
Smooth Transition ◽  
African Countries ◽  
Mena Region ◽  
Mena Countries ◽  
The Impact

Background. Studies on environmental performance/quality and economic growth show inconclusive results. Objective. The aim of the present study is to assess the non-linear relationship between environmental performance and economic growth in the Middle East and North Africa (MENA) region from 2002–2018. Methods. A sample of fourteen (14) MENA countries was used in the present analysis. However, due to important differences between countries in this region, the whole sample was divided into two sub-samples; nine Middle Eastern countries (MEAS) and five North African countries (NAF). We performed the panel smooth transition regression model as an econometric approach. Discussion. Empirical results indicate a threshold effect in the environmental performance and economic growth relationship. The threshold value differs from one group of countries to another. More specifically, we found that the impact of environmental performance and economic growth is positive and significant only if a certain threshold level has been attained. Until then, the effect remains negative. Conclusions. The findings of the present study are of great importance for policymakers since they determine the optimal level of environmental performance required to act positively on the level of economic growth. MENA countries should seek to improve their environmental performance index in order to grow output. Competing Interests. The authors declare no competing financial interests.

scholarly journals Analytical Study on the Impact of GST on Retail Sector: With Reference to Dmart Financial Performance

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Usha N.
Keyword(s):  
Financial Performance ◽  
Analytical Study ◽  
Retail Industry ◽  
Retail Sector ◽  
Trade Barriers ◽  
Model Law ◽  
The Impact

The imminent implementation of Goods & Services Tax (GST) is expected to result in greater transparency, an improved flow of credit, and reduced trade barriers from a tax perspective. The timely release and revision of the draft GST model law, GST rules, and documentation templates reflect the government’s commitment and keenness to implement the GST law in India in 2017. It is also widely agreed that GST will usher in a series of changes to how businesses will operate and the Retail Industry will be no exception. This thought piece highlights some of the key areas impacted and a number of changes that the industry will need to imbibe over the coming months to ensure that GST is effectively implemented.

scholarly journals The Impact of Financial Development On The Clean Energy Transition In MENA Region: The Role of Institutional And Political Factors.

2021 ◽  
Author(s):  
Haifa Saadaoui
Keyword(s):  
Renewable Energy ◽  
Financial Development ◽  
Energy Transition ◽  
Transition Process ◽  
Clean Energy ◽  
Mena Region ◽  
Political Factors ◽  
Long Run ◽  
The Impact

Abstract This study focuses on the role of institutional factors as well as financial development in renewable energy transition in Middle East and North Africa (MENA) region over the period 1990-2018 using the ARDL PMG method. The investigation of long-run and short-run analysis confirms that institutional and political factors play a key role in promoting the transition to renewable energy, and shows that improving these factors can lead to decarbonization of the energy sector in the long run. Another important finding is that global financial development does not have a significant effect on the transition process in the long run, implying that the whole financial system needs a fundamental structural change to accelerate the substitution between polluting and clean energies. However, in the short term, the impact appears to be negative and significant, highlighting the inadequacy of financial institutions and financial markets in promoting the region’s sustainable path. Moreover, income drives the transition to renewable energy in both short and long term. The causality results show that both financial development and institutional quality lead to renewable energy transition, while there is a bidirectional link between income and renewable energy.This study can provide a very useful recommendation to promote a clean transition in the MENA region.

scholarly journals Analysis of the determinants of bank liquidity risk: The case of Islamic banks in the UAE

2021 ◽  
Vol 119 ◽  
pp. 01008
Author(s):  
Khadija Ichrak Addou ◽  
Afaf Bensghir
Keyword(s):  
Liquidity Risk ◽  
Multiple Linear Regression Model ◽  
Capital Adequacy ◽  
Annual Data ◽  
Islamic Banks ◽  
Mena Region ◽  
Return On Assets ◽  
Return On Equity ◽  
Risk Determinants ◽  
The Impact

This article aims to examine the principal parameters that impact the liquidity risk incurred by Islamic banks in the UAE. The study examines annual data from four Islamic banks in the UAE. The Data is extracted from their annual activity reports and financial results. A multiple linear regression model is used to assess the impact of six bank-specific variables (Return on Equity, return on assets, size of the bank, liquidity gaps, non-performing loans and capital adequacy ratio) on the liquidity risk of UAE Islamic banks. The designed model shows that ROA and NPL negatively impact the liquidity risk of the studied banks, while the other determinants, namely size, ROE, liquidity gaps and CAR contribute to the improvement of liquidity of UAE banks. Thus, our empirical results complement the existing studies related to the analysis of liquidity risk determinants incurred by Islamic banks operating in the MENA region, especially Emirati banks.

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