scholarly journals Demand for Cashew Nut Exports of Guinea-Bissau (1990-2011): VAR Model Application

2021 ◽  
Author(s):  
Julio Vicente Cateia
Keyword(s):  
Civil War ◽  
Impulse Response Function ◽  
Export Demand ◽  
Domestic Price ◽  
Guinea Bissau ◽  
Cashew Nut ◽  
Long Run ◽  
External Demand ◽  
Domestic Prices ◽  
World Income

Abstract This study aimed to estimate via VAR the reaction of the export demand for Guinea-Bissau Cashew nuts to the shocks of world income, exchange rate and of the foreign and domestic prices and of the effects of the Civil War, which occurred in the country from 1990 to 2011. The main results obtained by analyzing the impulse response function and variance decomposition, showed that changes in domestic price and exchange rates don’t explain the external demand for this commodity. External demand responds to changes in global income and foreign price. Moreover, the Civil War of 1998 influenced the foreign demand. In the long run, external demand for cashew nuts doesn’t react to shocks in any of the variables in the model.

scholarly journals Determinants of Cashew Nut Exports of Guinea-Bissau

2021 ◽  
Vol 13 (9) ◽  
pp. 117
Author(s):  
Júlio Vicente Cateia ◽  
Clailton Ataídes de Freitas ◽  
Paulo Ricardo Feistel
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Short Term ◽  
Civil Conflicts ◽  
Guinea Bissau ◽  
Cashew Nut ◽  
Long Run ◽  
External Demand

This study examines the impacts of income, exchange rate, and conflicts on Cashew nuts exports of Guinea-Bissau. The main results obtained by analyzing the impulse response function and variance decomposition showed that, in the short term, exchange rates shocks don’t explain the external demand for this commodity. External demand for cashew nuts responds to changes in global income and Civil Conflicts. However, in the long run, these variables have no impact on cashew nuts exports.

Non-Performing Loans, Banking System and Macroeconomy

2018 ◽  
Vol 63 (2) ◽  
pp. 67-86
Author(s):  
Akinola Morakinyo ◽  
Colette Muller ◽  
Mabutho Sibanda
Keyword(s):  
Exchange Rate ◽  
Serial Correlation ◽  
Banking System ◽  
Impulse Response Function ◽  
Credit Market ◽  
Variance Decomposition ◽  
Structural Var ◽  
Long Run ◽  
Correlation Tests ◽  
The Exchange Rate

Abstract The study builds on previous studies of the consequences of non-performing loans on an economy. Using a seven-by-seven matrix in the impulse response function (IRF) of the structural autoregressive model, we find a long-run impact of an impulse to non-performing loans on the banking system and the macroeconomy in Nigeria. Conversely, non-performing loans also respond to the innovation of all macro-banking variables aside from the exchange rate and the growth rate to GDP. Also, the level of non-performing loans grows in influence in relation to the changes to the exchange rate using the variance decomposition tool of Structural VAR. Hence, a prominent role is assigned to the level of NPLs in linking the friction in the credit market to the susceptibility of both the banking system and the macroeconomy. This study passes the serial correlation tests and the three tests of normality.

scholarly journals Do Military Expenditure and Conflict Affect Economic Growth in Sri Lanka? Evidence from the ARDL Bounds Test Approach

2016 ◽  
Vol 8 (3) ◽  
pp. 1
Author(s):  
Abdul Rasheed Sithy Jesmy ◽  
Mohd Zaini Abd Karim ◽  
Shri Dewi Applanaidu
Keyword(s):  
Growth Rate ◽  
Civil War ◽  
Sri Lanka ◽  
Military Expenditure ◽  
Gdp Growth ◽  
Per Capita Gdp ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Per Capita ◽  
Bounds Test

Conflicts in the form of civil war, ethnic tensions and political discord are of enduring concern and a major bottleneck to economic development in Sri Lanka. Three decades of civil war and unethical political culture have caused severe economic problems for the country, including slower rate of growth and a huge defence expenditure. The aim of this study is to examine the effect of military expenditure and conflict on per capita GDP growth rate in Sri Lanka from 1973 to 2014 using the Solow growth model and ARDL bounds test approach. The results of the bounds test are highly significant and lead to cointegration. The negative and significant coefficients of the error correction term illustrate the expected convergence process in the long-run dynamic of per capita GDP. The estimated empirical results show that, the coefficients of military expenditure and conflict are negative and statistically significant in the short-run as well as in the long-run in determining per capita GDP growth rate in Sri Lanka. Hence, it is critically important to take necessary action to decrease military expenditure and provide an efficient political solution to the problem of minorities, specifically in the post-war period.

scholarly journals The Integration of Conventional Equity Indices with Environmental, Social, and Governance Indices: Evidence from Emerging Economies

2021 ◽  
Vol 13 (2) ◽  
pp. 676
Author(s):  
Ramiz ur Rehman ◽  
Muhammad Zain ul Abidin ◽  
Rizwan Ali ◽  
Safwan Mohd Nor ◽  
Muhammad Akram Naseem ◽  
...  
Keyword(s):  
South Africa ◽  
Function Analysis ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Individual Country ◽  
Brics Countries ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
Equity Indices

This study investigates the integration of environmental, social, and governance (ESG) equity indices with conventional indices in Brazil, Russia, India, China, and South Africa (BRICS) individually and across all BRICS countries to better understand regional economic cooperation. Accordingly, we look at daily returns from 13 July 2013 to 28 February 2018 for the Morgan Stanley Capital International (MSCI) ESG indices and MSCI composite indices of the respective countries. To analyze the integration between the ESG equity indices of the sampled countries with their regional and across regional conventional counterparts, the Johansen Co-integration test is employed in this study. Further, the vector error correction model (VECM) is applied to test the causality between the sampled time-series. The impulse response function analysis further explains the impulse responses of each country’s MSCI ESG returns to one standard deviation of innovations to MSCI composite returns of the same country and across countries. Finally, the extent of the MSCI composite returns’ impact on the MSCI ESG returns in the same country indices, and cross-regional indices is examined with variance decomposition analysis. The results suggest that all ESG equity indices are integrated with conventional indices in all BRICS countries. Furthermore, there is a short-or long-run causality between MSCI ESG and MSCI composite equity indices of China and South Africa. Moreover, the study finds only short-run causality between conventional and non-conventional equity indices of Brazil and Russia, whereas we find only long-run causality between India’s non-conventional and conventional equity indices. Finally, the study finds that the all-individual country MSCI ESG equity indices shows a long-run causality with MSCI composite equity indices of all other BRICS countries. The findings also confirm the economic and financial cooperation between the BRICS countries.

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.

scholarly journals Foreign Direct Investment, Financial Development and Economic Growth Evidence from Saudi Arabia

2017 ◽  
Vol 8 (4) ◽  
pp. 228 ◽  
Author(s):  
Najeeb Muhammad Nasir ◽  
Mohammed Ziaur Rehman ◽  
Nasir Ali
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Financial Development ◽  
Direct Investment ◽  
Impulse Response Function ◽  
Saudi Arabian ◽  
Causality Test ◽  
Long Run ◽  
Oil Resources ◽  
Integration Test

This study is an effort to explain and establish a relationship among foreign direct investment, financial development and economic growth in Saudi Arabian context for the period of 1970 to 2015 by employing Vector Auto Regression (VAR) and modified Granger Casualty Models. The result of Johansen co-integration test illustrates that no long run co-integration can be established among the variables. VAR has established a link between economic growth, financial development and foreign direct investment. The Granger causality test also confirms that economic growth causes foreign direct investment and financial development which is a unidirectional causality running from economic growth towards foreign direct investment and financial development. No significant causality can be observed empirically between foreign direct investment and financial development. This feature can be attributed to the fact that Saudi Arabian economy is still heavily dependent on its oil resources which is the driving force behind growth. Impulse Response Function has been utilized in order to observe the response to the shocks among the variables.

scholarly journals Profitability Variables and Bank Size Effects on Corporate Zakat: Evidence from Indonesian Islamic Banks

2019 ◽  
Vol 4 (1) ◽  
pp. 55-66
Author(s):  
Muhammad Anif Afandi
Keyword(s):  
Impulse Response Function ◽  
Islamic Banks ◽  
Vector Error Correction ◽  
Independent Variables ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Operational Activities ◽  
Conventional Banks ◽  
Research Period

Islamic banks carry out their operational activities based on Islamic principles. Thus, they are not only required to pay taxes but also zakat of 2.5 percent with several conditions. Theoretically, zakat has an impact on Islamic banks larger expenditures compared to conventional banks which are not obliged to. This research examines and analyzes the extent to which profitability variables which are ROA, ROE, and BOPO, and bank size which is represented by total assets, can affect corporate zakat expenditure by Islamic Commercial Banks (BUS) in Indonesia. To do so, the Panel Vector Error Correction Model (PVECM) is used to analyze the subject matters which the period covers from 2012 to 2017. This work finds that in the short-run, all the independent variables were insignificant. However, in the long-run only ROE and BOPO which were significant. The results of the Impulse Response Function (IRF) analysis showed that the dependent variable responds to the shock of its independent variables with fluctuating and even negative trend. In addition, the results of Variance Decomposition (VDC) analysis showed that the contribution of profitability variables and bank size tended to decrease toward the formation of corporate zakat expenditure by BUS until the end of the research period. Keywords: Corporate Zakat Expenditure, Islamic Banks, Profitability, Bank Size, PVECM

scholarly journals Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study

10.2196/17633 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e17633 ◽  
Author(s):  
Muhammad Syamsuddin ◽  
Muhammad Fakhruddin ◽  
Jane Theresa Marlen Sahetapy-Engel ◽  
Edy Soewono
Keyword(s):  
Linear Combination ◽  
Stationary Process ◽  
Impulse Response Function ◽  
Google Trends ◽  
Digital Data ◽  
Causality Analysis ◽  
Long Term Effects ◽  
Long Run ◽  
Dengue Outbreaks ◽  
Long Run Equilibrium

Background The popularity of dengue can be inferred from Google Trends that summarizes Google searches of related topics. Both the disease and its Google Trends have a similar source of causation in the dengue virus, leading us to hypothesize that dengue incidence and Google Trends results have a long-run equilibrium. Objective This research aimed to investigate the properties of this long-run equilibrium in the hope of using the information derived from Google Trends for the early detection of upcoming dengue outbreaks. Methods This research used the cointegration method to assess a long-run equilibrium between dengue incidence and Google Trends results. The long-run equilibrium was characterized by their linear combination that generated a stationary process. The Dickey-Fuller test was adopted to check the stationarity of the processes. An error correction model (ECM) was then adopted to measure deviations from the long-run equilibrium to examine the short-term and long-term effects. The resulting models were used to determine the Granger causality between the two processes. Additional information about the two processes was obtained by examining the impulse response function and variance decomposition. Results The Dickey-Fuller test supported an implicit null hypothesis that the dengue incidence and Google Trends results are nonstationary processes (P=.01). A further test showed that the processes were cointegrated (P=.01), indicating that their particular linear combination is a stationary process. These results permitted us to construct ECMs. The model showed the direction of causality of the two processes, indicating that Google Trends results will Granger-cause dengue incidence (not in the reverse order). Conclusions Various hypothesis testing results in this research concluded that Google Trends results can be used as an initial indicator of upcoming dengue outbreaks.

scholarly journals An empirical analysis of the impact of technological innovation on China’s total employment

2021 ◽  
Vol 235 ◽  
pp. 02042
Author(s):  
Peihua Li
Keyword(s):  
Growth Rate ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Destructive Effect ◽  
Total Employment ◽  
Promotion Effect ◽  
Leading Role ◽  
Long Run ◽  
The Impact

Technological innovation represented by artificial intelligence and 5G networks has developed rapidly, since the reform and opening up, especially in recent years. Technological innovation promotes the upgrading of industrial structure, promotes the increase of employment in emerging industries, at the same time, eliminate the workers in backward industries, which will have an impact on overall employment. Therefore, this paper studies the impact of technological innovation on the total employment of China from an empirical perspective. Total Factor Productivity (TFP) and TFP growth rate calculated by the Solow residual method are used as indicators of the level of technological innovation, and the long-term cointegration regression model and short-term impulse response function are established with the number of employees and employment growth rate as the dependent variables, respectively. The study found that, the impact of technological innovation on employment levels has a stable promotion effect in the long run; in the short run, there is a destructive effect at first, but as time goes by, this destructive mechanism gradually occupies the peak, and the creative mechanism begins to take effect. The leading role, technological innovation has a steady promotion effect on employment.

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