Trade openness and economic development in the UAE: an asymmetric approach

2016 ◽  
Vol 43 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Abdulrahman Al-Shayeb ◽  
Abdulnasser Hatemi-J
Keyword(s):  
Impulse Response ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Content Type ◽  
Causality Tests ◽  
Per Capita ◽  
The Impact ◽  
Asymmetric Causality

Purpose The purpose of this paper is to offer a review of the trade policy in the UAE. It also investigates the dynamic interaction between trade openness and GDP per capita in this emerging economy. Design/methodology/approach The asymmetric generalized impulse response functions and the asymmetric causality tests developed by Hatemi-J are used. Findings The results from asymmetric generalized impulse response functions indicate that a positive permanent shock in the trade openness results in a significant positive response in the cumulative sum of the positive component of the GDP per capita. Such a response is not found for the negative shocks in the trade openness. Furthermore, neither a positive nor a negative shock in the GPD per capita results in any significant response in the trade openness. These empirical findings are also supported by the implemented asymmetric causality tests. Originality/value This is the first attempt that investigates the impact of trade openness on economic performance in the UAE. Unlike previous literature on the topic, this paper allows for asymmetric impacts in the empirical model.

The impact of monetary policy on income inequality: evidence from Eurozone markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Konstantina Liosi ◽  
Spyros Spyrou
Keyword(s):  
Monetary Policy ◽  
Income Inequality ◽  
Impulse Response ◽  
Design Methodology ◽  
Total Population ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Content Type ◽  
The Impact ◽  
Panel Vector Autoregression

PurposeThis study examines the impact of monetary policy on income inequality in Eurozone countries for the period between 2005 and 2017.Design/methodology/approachThe authors use regression analysis, panel vector autoregression (PVAR) analysis and impulse response functions, in order to examine the impact of monetary policy on income inequality in Eurozone countries.FindingsThis study examines the impact of monetary policy on income inequality in Eurozone countries for the period between 2005 and 2017. The results indicate that, on average, monetary policy tends to increase income inequality. A closer examination indicates that for Ireland, Germany and the Netherlands monetary policy has no impact on income inequality or a weak impact (France), while for Spain, Portugal, Greece and Italy the impact is more pronounced. PVAR analysis and impulse response functions further indicate that female income inequality responds more significantly to monetary policy.Originality/valueIn contrast to previous studies the authors estimate separate models for males, females and the total population to evaluate whether gender is an important factor. Furthermore, the authors use two proxies for monetary policy: the shadow rate (SR) and the total assets (TAs) of the central bank.

scholarly journals Trade Openness and Economic Growth Nexus: A Case Study of BRICS

2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Causal Relationship ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Jel Codes ◽  
Per Capita ◽  
The Impact ◽  
Econometric Technique

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22

Determinants of Foreign Direct Investment in India’s Service Sector

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Niti Bhasin
Keyword(s):  
Trade Openness ◽  
Ordinary Least Squares ◽  
Gdp Per Capita ◽  
Annual Data ◽  
Fdi Inflows ◽  
Skilled Labour ◽  
Services Sector ◽  
Lagged Dependent Variable ◽  
Per Capita ◽  
The Impact

With the ever-growing importance of services sector in India’s economy, this paper seeks to identify the determinants of FDI in the services sector. The study uses ordinary least squares regression analysis and examines the impact of GDP, GDP per capita, trade openness, FDI openness, and labour cost on FDI inflows. We also use another specification to include the lagged dependent variable as an explanatory variable. Using annual data for the period 1991 to 2010, we find that FDI inflows in the services sector in India are significantly determined by national income, GDP per capita, trade openness, FDI openness and skilled labour availability. This confirms the view that FDI in the services sector is efficiency-seeking and greater availability of skilled labour in India leads to greater inflows of FDI in services sector.

The long run impact of immigration on labor market in an advanced economy

2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan
Keyword(s):  
Labor Market ◽  
Gdp Per Capita ◽  
Advanced Economy ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
The Usa ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.

The role of governance in economic development

2014 ◽  
Vol 41 (12) ◽  
pp. 1265-1278 ◽  
Author(s):  
Muhammad Azam ◽  
Chandra Emirullah
Keyword(s):  
Economic Growth ◽  
Inflation Rate ◽  
Gdp Per Capita ◽  
Dependency Ratio ◽  
Control Variables ◽  
Content Type ◽  
The Pacific ◽  
Per Capita ◽  
Openness To Trade ◽  
The Impact

Purpose – The purpose of this paper is to explore the impact of corruption as an important element of weak governance, with control variables such as inflation rate, openness to trade and dependency ratio on gross domestic product (GDP) per capita income of nine selected countries in Asia and the Pacific. Design/methodology/approach – This study is based on an annual panel data covering the period from 1985 to 2012, and a simple multiple regression for empirical investigation is used. Both fixed effects and random effects models were used as analytical techniques. Findings – The study reveals that both corruption and inflation rate are negatively related to GDP per capita and are statistically significant. As to the impacts of the control variables i.e., dependency ratio is found to be negative and openness to trade to be statistically significant which shows a positive impact on GDP per capita. Practical implications – The results resoundingly confirmed the importance of good governance, therefore, reducing endemic corruption and controlling inflation needs to be among the foremost factors for consideration for policymakers in adopting and implementing macroeconomic and public policies. In order to be most effective in tackling corruption, it is important to get to the root of the problem. In light of the study findings, it is suggested that corruption need to be put under control and economies be made more open to attain more benefits and accelerate economic growth and development. Originality/value – Explicitly, this study provides some valuable evidence on the linkage between endemic corruption and economic growth in some Asia and the Pacific countries in particular and on developing world in general. Presumably, this is the first inclusive investigation on the subject under the study in the context of Asia and the Pacific countries and will emphatically contribute to the literature as well.

scholarly journals Variation in emission metrics due to variation in CO<sub>2</sub> and temperature impulse response functions

2013 ◽  
Vol 4 (2) ◽  
pp. 267-286 ◽  
Author(s):  
D. J. L. Olivié ◽  
G. P. Peters
Keyword(s):  
Temperature Change ◽  
Impulse Response ◽  
Effective Means ◽  
Global Temperature ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Climate Effect ◽  
Time Horizons ◽  
Global Temperature Change ◽  
The Impact

Abstract. Emission metrics are used to compare the climate effect of the emission of different species, such as carbon dioxide (CO2) and methane (CH4). The most common metrics use linear impulse response functions (IRFs) derived from a single more complex model. There is currently little understanding on how IRFs vary across models, and how the model variation propagates into the metric values. In this study, we first derive CO2 and temperature IRFs for a large number of complex models participating in different intercomparison exercises, synthesizing the results in distributions representing the variety in behaviour. The derived IRF distributions differ considerably, which is partially related to differences among the underlying models, and partially to the specificity of the scenarios used (experimental setup). In a second part of the study, we investigate how differences among the IRFs impact the estimates of global warming potential (GWP), global temperature change potential (GTP) and integrated global temperature change potential (iGTP) for time horizons between 20 and 500 yr. Within each derived CO2 IRF distribution, underlying model differences give similar spreads on the metrics in the range of −20 to +40% (5–95% spread), and these spreads are similar among the three metrics. GTP and iGTP metrics are also impacted by variation in the temperature IRF. For GTP, this impact depends strongly on the lifetime of the species and the time horizon. The GTP of black carbon shows spreads of up to −60 to +80% for time horizons to 100 yr, and even larger spreads for longer time horizons. For CH4 the impact from variation in the temperature IRF is still large, but it becomes smaller for longer-lived species. The impact from variation in the temperature IRF on iGTP is small and falls within a range of ±10% for all species and time horizons considered here. We have used the available data to estimate the IRFs, but we suggest the use of tailored intercomparison projects specific for IRFs in emission metrics. Intercomparison projects are an effective means to derive an IRF and its model spread for use in metrics, but more detailed analysis is required to explore a wider range of uncertainties. Further work can reveal which parameters in each IRF lead to the largest uncertainties, and this information may be used to reduce the uncertainty in metric values.

scholarly journals The Shape of Eurozone’s Uncertainty: Its Impact and Predictive Value on GDP

2020 ◽  
Vol 7 (6) ◽  
pp. 1
Author(s):  
Ralf Fendel ◽  
Nicola Mai ◽  
Oliver Mohr
Keyword(s):  
Standard Deviation ◽  
Business Cycle ◽  
Financial Markets ◽  
Impulse Response ◽  
Two Dimensions ◽  
Point Estimate ◽  
Impulse Response Functions ◽  
Response Functions ◽  
The Business Cycle ◽  
The Impact

This paper examines the role of uncertainty in the context of the business cycle in the euro area. To gain a more granular perspective on uncertainty, the paper decomposes uncertainty along two dimensions: First, we construct the four different moments of uncertainty, including the point estimate, the standard deviation, the skewness and the kurtosis. The second dimension of uncertainty spans along three distinct groups of economic agents, including consumers, corporates and financial markets. Based on this taxonomy, we construct uncertainty indices and assess the impact on real GDP via impulse response functions and further investigate their informational value in rolling out-of-sample GDP forecasts. The analysis lends evidence to the hypothesis that higher uncertainty expressed through the point estimate, a larger standard deviation among confidence estimates, positive skewness and a higher kurtosis are all negatively correlated with the business cycle. The impulse response functions reveal that in particular the first and the second moment of uncertainty cause a permanent effect on GDP with an initial decline and a subsequent overshoot. We find uncertainty in the corporate sector to be the main driver behind this observation, followed by financial markets’ uncertainty whose initial effect on GDP is comparable but receding much faster. While the first two moments of uncertainty improve GDP forecasts significantly, both the skewness and the kurtosis do not augment the forecast quality any further.

Factors affecting the international competitiveness of polish economy system in 2004-2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Konrad Rojek
Keyword(s):  
Econometric Model ◽  
Negative Impact ◽  
Economic Effect ◽  
International Competitiveness ◽  
Gdp Per Capita ◽  
Content Type ◽  
Per Capita ◽  
The Government ◽  
Polish Economy ◽  
The Impact

Purpose This study aims to present the issue of the international systemic competitiveness of the Polish economy. The essence of this concept was shown, as well as the measures and methods of analysis used. The aim of the research was to identify the factors that had the greatest impact on the formation of the international systemic competitiveness of the Polish economy. Design/methodology/approach An econometric model was constructed to explain the shaping of the value of the dependent variable (gross domestic product [GDP] per capita) in the years 2004–2019. For this purpose, explanatory variables were used selected from among the measures of the international systemic competitiveness of the Polish economy. The developed econometric model was verified to check its practical usefulness. This process was performed using the Gretl program. The research also used the Pentagon Model of Macroeconomic Stabilization, which was used to examine the general economic development of Poland because of which it is possible to conclude about the international systemic competitiveness of the economy. Findings In the analyzed period (2004–2019), the international systemic competitiveness of the Polish economy was to the greatest extent conditioned by such factors as government integrity, tax burdens and investment freedom. It is significant that the integrity of the government had a negative impact on the value of GDP per capita. Practical implications The results of the conducted research may be particularly useful for the institutional sphere. They indicate systemic factors that had the greatest impact on the prosperity of Polish society in the analyzed period. This enables the weakest elements of the policy to be identified and improved. Proper applications and appropriate corrective actions will have a positive economic effect. Originality/value So far, it has not been possible to develop/indicate a uniform and generally accepted measure and method of analyzing international systemic competitiveness. Therefore, all attempts to assess and measure systemic competitiveness have a high research value. The vast majority of studies on the international competitiveness of the economy focus only on assessing its level (growth, decline and comparison with other countries). When building an econometric model (based on the 2004–2019 time series), the author also checks the impact of its individual components, not only its level. On this basis, it can be deduced, which factors influenced the competitiveness in a given period to a greater extent, positively or negatively.

The impact of financial inclusion on economic development: the mediating roles of gross savings, social empowerment and economic empowerment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajib Chakraborty ◽  
Rebecca Abraham
Keyword(s):  
Economic Development ◽  
Financial Inclusion ◽  
Gdp Per Capita ◽  
Primary Data ◽  
Equation Modeling ◽  
Economic Empowerment ◽  
Content Type ◽  
Per Capita ◽  
The Impact ◽  
Social Empowerment

PurposeThe purpose of this paper is to measure the impact of financial inclusion on economic development.Design/methodology/approachStudy 1 used World Bank Data to develop financial inclusion percentages of ownership of checking accounts, savings accounts, debit cards and loans for 179 countries among the poorest 40% of the population, from 2011–2017. Regressions established the financial inclusion, gross savings and GDP per capita growth linkage. Study 2 created and validated scales to measure social empowerment, economic empowerment and economic development, among inhabitants of Bangladesh villages. Structural equation modeling measured the mediation by social empowerment and economic empowerment of the financial inclusion and economic development linkage.FindingsTotal financial inclusion was significantly explained by gross savings, which was significantly explained by GDP per capita growth. Ownership of a checking account significantly increased gross savings, while ownership of a savings account significantly increased GDP per capita growth. Ownership of a checking account differentiated countries with the highest 5% of gross savings, while ownership of a debit card significantly differentiated countries with the GDP per capita growth. Social empowerment and economic empowerment significantly mediated the financial inclusion and economic development relationship.Originality/valueThe study is unique in examining financial inclusion from a multi country, macroeconomic perspective combined with measurement of its theoretical underpinnings through a primary data-based sample extracted from respondents in Bangladesh, a lower middle-income country in Southeast Asia.

scholarly journals The response of remittances inflows to asymmetric oil price shocks in Egypt

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Samir Abdalla Zahran
Keyword(s):  
Impulse Response ◽  
Oil Prices ◽  
Variance Decomposition ◽  
Oil Price ◽  
Var Model ◽  
Impulse Response Functions ◽  
Oil Price Shocks ◽  
Response Functions ◽  
Price Shocks ◽  
Content Type

Purpose The purpose of this paper is to explore and analyse the dynamic relationship between remittances inflows of Egyptians working abroad and asymmetric oil price shocks. Design/methodology/approach This study uses a vector autoregressive (VAR) model to explain the impulse response functions (IRFs) and the forecast error variance decomposition (FEVD). The rationale behind using these tools is its ability to examine the dynamic effects of our variables of interest. Findings The impulse response functions confirmed that remittance inflows have various responses to asymmetric oil price shocks. For instance, inflowing remittances increase in response to positive oil price shocks, while it decreases in response to negative oil price shocks. Also, the results indicate that the responses are significant in the short and medium-run and insignificant in the long run. The magnitude of these responses reaches its peak or trough in the third year. Further, the variance decomposition reveals that oil price decreases are more influential than oil price increases. Originality/value This means that remittances inflows in Egypt are pro-cyclical with oil price shocks. That explained by the fact that more than one-half of those remittances sent from GCC countries where real economic growth is very pro-cyclical with the oil prices. This empirical assessment will help policymakers to determine the behaviour of remittances and highlights the impact of different kinds of oil prices shocks on remittances. Unlike the little existing literature, this study is the first study applied the VAR model using a novel dataset spanning 1960-2016.

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