scholarly journals Factors in Saudi FDI Inflow

SAGE Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 215824402110672
Author(s):  
Nahla Samargandi ◽  
Mohammed A. Alghfais ◽  
Hadeel M. AlHuthail
Keyword(s):  
Structural Breaks ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Trade Openness ◽  
Saudi Arabian ◽  
Policy Implications ◽  
Series Data ◽  
Economic Stability ◽  
The Global Financial Crisis ◽  
Two Stages

This study explores the driving factors for attracting Foreign Direct Investment (FDI) inflow in the Saudi Arabian economy in two stages. First, it applies a general to specific approach to form a model reflecting theoretical and anecdotal evidence of the Saudi Arabian economy. Second, we analyse time series data over the years 1984 to 2018. applying Autoregressive Distributed Lags (ARDL) approach, incorporating several structural breaks. This study explores Saudi membership of the World Trade Organization (WTO) and institutional quality, identifying them as promising factors in fostering FDI inflows in the economy. Our empirical investigation demonstrates that the Saudi economy experienced a higher inflow of FDI during the global financial crisis (GFC) due to economic stability. Trade openness is found to be conducive to promote FDI inflow. This study provides several policy implications.

scholarly journals The Effect of the Global Financial Crisis on the Level of Accounting Conservatism in Commercial Banks: Evidence from Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 151 ◽  
Author(s):  
Yusuf Ali Al-Hroot ◽  
Laith Akram Muflih AL-Qudah ◽  
Faris Irsheid Audeh Alkharabsha
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Commercial Banks ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Accounting Conservatism ◽  
Series Data ◽  
Cross Sectional ◽  
The Global Financial Crisis

This paper intends to investigate whether the financial crisis (2008) exerted an impact on the level of accounting conservatism in the case of Jordanian commercial banks before and during the financial crisis. The sample of this study includes 78 observations; these observations are based on the financial statements of all commercial banks in Jordan and may be referred to as cross-sectional data, whereas the period from 2005 to 2011 represents a range of years characterized by time series data. The appropriate regression model to measure the relationship between cross-sectional data and time series data is in this case the pooled data regression (PDR) using the ordinary least squares (OLS) method. The results indicate that the level of accounting conservatism had been steadily increasing over a period of three years from 2005 to 2007. The results also indicate that the level of accounting conservatism was subjected to an increase during crisis period between 2009 and 2011 compared with the level of accounting conservatism for the period 2005-2007 preceding the global financial crisis. The F-test was used in order to test the significant differences between the regression coefficients for the period before and during the global financial crisis. The results indicate a positive impact on the accounting conservatism during the global financial crisis compared with the period before the global financial crisis. The p-value is 0.040 which indicates that there are statistically significant differences between the two periods; these results are consistent with the results in Sampaio (2015).

scholarly journals DETERMINANTS OF INDONESIA’S RESIDENCE TRAVELING ABROAD

2021 ◽  
Vol 6 (1) ◽  
pp. 158
Author(s):  
Akhmad Tantowi
Keyword(s):  
Economic Crisis ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Relative Price ◽  
Series Data ◽  
Relative Prices ◽  
Short Run ◽  
The Global Financial Crisis ◽  
Travel Abroad ◽  
The Impact

The study aims to identify the economic variables affecting Indonesia’s residence to travel abroad. Knowledge of the variables of Indonesia’s residence to travel abroad is very important because this is one of the sources of foreign exchange leakage. The ARDL approach will be used with time series data for the period 1992-2019. The impact of changes in income, relative prices for Malaysian tourism, and flight availability will be estimated and tested. Two dummy variables are also provided to represent the economic crisis in 1997-1998 and the global financial crisis in 2008. One of the important findings of this study is the significance of the income variable with more than one elasticity, which shows the luxury nature of tourism travel. The relative price of tourism also affects Indonesians to travel abroad in the long- and short-run. The economic crisis of 1997-1998 led to a decrease in Indonesians traveling abroad.

scholarly journals Environmental Kuznet’s Curve for Saudi Arabia: An Endogenous Structural Breaks based Cointegration Analysis

2017 ◽  
Vol 5 (1) ◽  
pp. 198
Author(s):  
Mohammad Asif
Keyword(s):  
Saudi Arabia ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Trade Openness ◽  
Cointegration Analysis ◽  
Series Data ◽  
Test Results ◽  
Long Run ◽  
Endogenous Structural Breaks

The study attempts to analyse cointegrating relationship between carbon emissions, energy consumption, income and trade openness in case of Saudi Arabia using the time series data for the period 1971-2011. For this purpose, it uses the ARDL cointegrating technique to find out the long run relationships among the variables. The bounds test results indicate that there exist long- run relationships between the variables. The study also used threshold cointegrating test in order to test the environmental Kuznet’s curve hypothesis in the presence of regime shift. This study confirms existence of cointegrating relationship in case of single structural break, but for two structural break there is no cointegration among the variables. The Environmental Kuznet’s curve hypothesis does not hold in Saudi Arabia. The study does not find long run coefficients statistically significant except for trade openness.

The IMF and the Politics of Austerity in the Wake of the Global Financial Crisis

2018 ◽  
Author(s):  
Ben Clift
Keyword(s):  
Global Financial Crisis ◽  
Full Employment ◽  
Real Economy ◽  
Economic Stability ◽  
Public Power ◽  
The Great Recession ◽  
Regulatory Interventions ◽  
The Stability ◽  
The Global Financial Crisis ◽  
The Imf

The IMF uses crisis-defining economic ideas, and crisis legacy-defining ideas, to construct interpretations of economic crises in ways which prioritize particular policy or institutional responses, and rule out or marginalize others. The post-crash IMF enjoyed scope to shift the boundaries of ‘legitimate’ policy, involving heightened appreciation of ‘non-linear’ threats from losses of confidence, prolonged weak demand, and financial system fragilities and contagion. The policy corollaries of this Fund rethink were that economic stability has to be actively pursued through a wider range of policy and regulatory interventions by governments, central banks, the IMF, and other forms of authority and public power. In the context of the Great Recession, the Fund no longer considered it safe to assume an inherent tendency on the part of unfettered market forces in finance and the real economy to deliver the stability and full employment at the heart of its mandate.

Effect of economic indicators, biomass energy on human development in China

2021 ◽  
pp. 0958305X2110220
Author(s):  
Ngo Thai Hung
Keyword(s):  
Human Development ◽  
Global Financial Crisis ◽  
Trade Openness ◽  
Biomass Energy ◽  
Wavelet Coherence ◽  
Causality Test ◽  
Frequency Domains ◽  
Bidirectional Relationship ◽  
The Global Financial Crisis

Previous studies ignored the distinction between short, medium, and long term by decomposing macroeconomic variables and human development index at different time scales. We re-visit the causal association between biomass energy (BIO), economic growth (GDP), trade openness (TRO), industrialization (IND), foreign direct investment (FDI), and human development (HDI) in China on a quarterly scale by scale basis for the period 1990 to 2019 using the tools of wavelet, i.e., wavelet correlation, wavelet coherence and scale by scale Granger causality test. The main findings uncover that IND, TRO, GDP, and BIO positively drive the HDI at low and medium frequencies, while FDI negatively impacts HDI during the sample period. Additionally, there is a bidirectional relationship between GDP and HDI at different time and frequency domains. Specifically, we discover that the positive co-movement is more robust in the aftermath of the global financial crisis, particularly for HDI, BIO, GDP, and TRO at medium frequencies throughout the period under research. Our empirical insights have significant implications for achieving human development sustainability in China.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

scholarly journals Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Pavel Kotyza ◽  
Katarzyna Czech ◽  
Michał Wielechowski ◽  
Luboš Smutka ◽  
Petr Procházka
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Market ◽  
Structural Breaks ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Market Uncertainty ◽  
Volatility Index ◽  
The Global Financial Crisis ◽  
The Relationship

Securitization of the agricultural commodity market has accelerated since the beginning of the 21st century, particularly in the times of financial market uncertainty and crisis. Sugar belongs to the group of important agricultural commodities. The global financial crisis and the COVID-19 pandemic has caused a substantial increase in the stock market volatility. Moreover, the novel coronavirus hit both the sugar market’s supply and demand side, resulting in sugar stock changes. The paper aims to assess potential structural changes in the relationship between sugar prices and the financial market uncertainty in a crisis time. In more detail, using sequential Bai–Perron tests for structural breaks, we check whether the global financial crisis and the COVID-19 pandemic have induced structural breaks in that relationship. Sugar prices are represented by the S&P GSCI Sugar Index, while the S&P 500 option-implied volatility index (VIX) is used to show stock market uncertainty. To investigate the changes in the relationship between sugar prices and stock market uncertainty, a regression model with a sequential Bai–Perron test for structural breaks is applied for the daily data from 2000–2020. We reveal the existence of two structural breaks in the analysed relationship. The first breakpoint was linked to the global financial crisis outbreak, and the second occurred in December 2011. Surprisingly, the COVID-19 pandemic has not induced the statistically significant structural change. Based on the regression model with Bai–Perron structural changes, we show that from 2000 until the beginning of the global financial crisis, the relationship between the sugar prices and the financial market uncertainty was insignificant. The global financial crisis led to a structural change in the relationship. Since August 2008, we observe a significant and negative relationship between the S&P GSCI Sugar Index and the S&P 500 option-implied volatility index (VIX). Sensitivity analysis conducted for the different financial market uncertainty measures, i.e., the S&P 500 Realized Volatility Index confirms our findings.

The challenges of inclusive growth for the developmental welfare state

2017 ◽  
Author(s):  
Huck-ju Kwon
Keyword(s):  
Social Policy ◽  
Financial Crisis ◽  
Economic Model ◽  
Global Financial Crisis ◽  
Policy Implications ◽  
What Works ◽  
Nation States ◽  
The Social ◽  
The One ◽  
The Global Financial Crisis

One of the biggest challenges for developing a new more productivist social policy approach has been the apparent absence of a new, post-neoliberal, economic model even after the global financial crisis. This chapter explores the social policy implications of the official ‘pragmatism’ of the new economic model with its ‘institutionalist’ emphases on nation states finding what works best in their own contexts rather than looking to the one size fits all approach of recent decades.

Effects of Infrastructure Development on Foreign Direct Investment in Kenya

2016 ◽  
Vol 8 (2) ◽  
pp. 93-110 ◽  
Author(s):  
Carol Teresa Wekesa ◽  
Nelson H. Wawire ◽  
George Kosimbei
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Transport Infrastructure ◽  
Series Data ◽  
Infrastructure Development ◽  
Fdi Inflows ◽  
Year 2000 ◽  
Quality Infrastructure

Kenya’s foreign direct investment (FDI) inflows as a percentage of GDP have been increasing negligibly over the last 4 years, increasing from 0.4 per cent in 2010 to 0.9 per cent in 2013. And yet evidence shows that quality infrastructure lowers the cost of doing business and thus attracts FDI. Kenya has visible signs of infrastructure inadequacy and inefficiencies despite the fact that since the year 2000, there has been increased budgetary allocation to the infrastructure sector. This study, therefore, sought to determine the effects of transport, energy, communication and water and waste infrastructure development on FDI inflows in Kenya. The study used annual time series data sourced from Central Bank of Kenya, World Bank and the United Nations Conference on Trade and Development (UNCTAD). Using multiple regression analysis, it was established that improved transport infrastructure, communication infrastructure, water and waste infrastructure, exchange rate, economic growth and trade openness are important determinants of FDI inflows into Kenya. Hence, for Kenya to attract more FDI, continued infrastructural development is key since quality infrastructure affords investors a conducive investment climate in which to operate.

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