Assessing the impact of ASYCUDA on customs revenue performance: evidence from the Liberia Revenue Authority

2021 ◽  
Vol 2021 (1) ◽  
pp. 61-79
Author(s):  
Genesis B Kollie ◽  
Roosevelt S Prowd
Keyword(s):  
Error Correction ◽  
Time Series Data ◽  
Correction Term ◽  
Automated System ◽  
Series Data ◽  
Bounds Testing ◽  
Total Trade ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study sought to explore empirically the impact of an Automated System for Customs Data (ASYCUDA) on customs revenue performance at the Liberia Revenue Authority (LRA). We used monthly time series data sourced from the LRA, the Central Bank of Liberia, and various series of the Harmonized Tariff of Liberia. The data spans from January 2015 to December 2018. We employed the bounds testing approach to the Cointegration and Error Correction Model that is established within the Autoregressive Distributed Lag framework. The results revealed that total trade (Import*Export), goods and services tax (GST) and ASYCUDA positively impact customs revenue performance in both the short and long run while export and inflation were found to negatively affect customs revenue performance in both the short and long run. In addition, an error correction term of -0.837 was found, indicating that 83.7 per cent of the deviation created by shocks in the short run will be corrected in the long run; thus, confirming the existence of a long-run relationship among the variables used. For policy purposes, these findings suggest that ASYCUDA be rolled out to other ports of entry and exit to boost the efficiency of customs revenue generation. Moreover, capacity building should be carried out to complement the effective use of ASYCUDA. We also recommend that policies to reduce inflation be prioritised.

FINANCIAL STABILITY AND THE ROLE OF ECONOMIC AND FINANCIAL INTEGRATION IN SOUTH ASIA: EVIDENCE FROM TIME-SERIES DATA

2017 ◽  
Vol 65 (02) ◽  
pp. 303-333 ◽  
Author(s):  
SAMIA NASREEN ◽  
SOFIA ANWAR
Keyword(s):  
Time Series ◽  
Financial Stability ◽  
Financial Integration ◽  
Time Series Data ◽  
Stability Index ◽  
Series Data ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

Using the aggregate financial stability index (AFSI) which measures the gradual progression and changes in financial market stability, this paper empirically evaluates the impact of financial and economic integration on financial stability in South Asian countries using time-series data for the period 1980–2012. Auto-regressive distributed lag (ARDL) Bounds testing approach to cointegration is applied to ensure long-run relationship between variables. Bound F-test results confirm the long-run relationship between selected variables. The estimated results show that economic and financial integration has exerted a significant negative effect on financial stability in long run.

scholarly journals Climate Change Impact On Rice Production in Pakistan: An ARDL-Bounds Testing Approach to Cointegration

2018 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Habibullah Magsi
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Rice Production ◽  
Series Data ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
The Impact ◽  
Ardl Bounds Testing Approach

This research paper aims to examine the relationship between CO2, temperature, area, fertilizers and rice production in Pakistan. This study used Augmented Dickey Fuller (ADF) and Phillips Perron (PP) unit root tests to check the order of integration of each variable. The cointegration analysis with ARDL bounds testing approach is used to examine the impact of climate change on rice production in Pakistan over time series data from the period 1968 to 2014. The parameter stability test of the model is also checked at the end. The results of estimation show that the important variables of the study are cointegrated demonstrating the presence of long-run association among them. Furthermore, climate change factors, e.g. CO2 and temperature have a long-run and short-run positive effect on the production of rice in Pakistan. This present work is original and it is first time empirically tested the impact of climate change on rice production in Pakistan. The annual time series data of 47 years enhances the validity of the empirical findings. The most fruitful finding of this research is that rice production in Pakistan is positively influenced by emission of carbon dioxide (CO2) at 5 percent significance level in both long-run and short-run.

scholarly journals The Impact of Macroeconomic variables on the credit provided by Saudi Banks: تأثير المتغيرات الاقتصادية الكلية على التمويل المصرفي في المملكة العربية السعودية (دراسة قياسية شملت البيانات من 1970م – 2012م)

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Eyas Jafar Abdel Rahim
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Government Expenditure ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Bank Deposits ◽  
Long Run ◽  
The Impact

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.

IMPACT OF MONETARY POLICY TARGETS ON CAPITAL MARKET DEVELOPMENT IN NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 85-95
Author(s):  
Abdulkarim Musa ◽  
◽  
Uwaleke Uche ◽  
Nwala Nneka ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Capital Market ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study empirically examines the impact of monetary policy targetson capital market development in Nigeria from 1986-2018. Time series data and econometric tools were used to test for the stationarity and causality effect. The Auto-Regressive Distributed Lag Model (ARDL) and Error Correction Model (ECM) techniques were used to examine the short-run and long-run impact and relationship between Monetary Policy and Capital Market Development in Nigeria. The study revealed that both in the long run and short run Exchange Rate (EXCHR), Inflation Rate (INFR), and Interest Rate in Nigeria (INTR)were negatively related to Capital Market Development (CAMKTD) in Nigeria and they were statistically insignificant in explaining changes in Capital Market Development (CAMKTD) in Nigeria. On the other hand, inthe long run, Money Supply was positively related to Capital Market Development (CAMKTD) in Nigeria and was statistically significant at a 5% level significant while Money Supply (M2) was positively related to Capital Market Development (CAMKTD) in Nigeria both in the long run and short-run and was statistically significant at 5% level of significance. Therefore, the study recommends that government should improve the efficiency and effectiveness of the money supply in Nigeria since it was statistically significant in determining the improvement of Capital Market Development (CAMKTD) in Nigeria.

Exports and Inequality: Evidence from the Highly Concentrated Textile and Garment Sector of Bangladesh

2021 ◽  
pp. 097317412110248
Author(s):  
Md. Iqbal Bhuyan ◽  
Keun-Yeob Oh
Keyword(s):  
Income Inequality ◽  
Time Series Data ◽  
Threshold Level ◽  
Series Data ◽  
High Concentration ◽  
Bounds Testing ◽  
Export Sector ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

In this study, we investigate the effects of textile and garment (T&G) exports on income inequality in Bangladesh. Focusing on T&G exports alone, which contribute more than 90% of the country’s total exports, we hypothesize that the export sector of a country being concentrated on a single industry widens income inequality. Based on time series data over the period 1991–2015, the autoregressive distributed lag (ARDL) bounds testing approach to cointegration indicates that there is a long-run relationship between the variables. It seems that exports from the T&G sector have a statistically significant effect on income inequality in the long run, such that the high concentration of T&G exports contributes to widening income inequality in Bangladesh. This result implies that policies oriented toward export diversification are necessary so that people working in other sectors can also engage in income generating activities from exports. Our results also demonstrate that income inequality rises in the initial stages of economic growth. Then, after reaching a threshold level of growth, income inequality falls. This result confirms the validity of the Kuznets hypothesis in the case of Bangladesh.

Crowding Out of Private Sector in Tanzania: Government Expenditure, Domestic Borrowing, and Lending Rates

2020 ◽  
Vol 6 (1) ◽  
pp. 123-135 ◽  
Author(s):  
Enock Mwakalila
Keyword(s):  
Private Sector ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Private Sector Development ◽  
Distributed Lag ◽  
Long Run ◽  
Lending Rates ◽  
The Government ◽  
The Impact

This study empirically analyzes the impact of government expenditure and domestic borrowing on credit to the private sector in Tanzania by increasing lending rates. Quarterly time series data are collected from 2004 to 2018. Autoregressive distributed lag (ARDL) model estimation with a bound cointegration test is used to establish the short- and long-run relationships, and the results are subjected to diagnostic tests for robustness. The result shows that government expenditure and domestic borrowing crowd out credit to the private sector by increasing the lending rate in the long run. This calls for the Tanzanian government to reduce some of its deficit spending and domestic borrowing, and instead look for another way to increase the tax revenue using loans from external sources to fund its budget deficit. Also, the study recommends that the government should put more effort on improving private sector development by making the country an easy place to do business, which in turn will increase the tax base through corporate tax and income tax from business employees.

scholarly journals Rural Labour Market Developments, Agricultural Productivity, and Real Wages in Bangladesh, 1950-2006

2008 ◽  
Vol 47 (1) ◽  
pp. 89-114 ◽  
Author(s):  
Akhand Akhtar Hossain
Keyword(s):  
Error Correction ◽  
Agricultural Development ◽  
Correction Term ◽  
Agricultural Productivity ◽  
Annual Data ◽  
Bounds Testing ◽  
Real Wages ◽  
Distributed Lag ◽  
Long Run ◽  
Recent Developments

This paper provides an overview of recent developments in rural labour markets in Bangladesh and also examines the trends and movements of agricultural productivity and real wages with annual data for the period 1950-2006. The paper links the movements of agricultural real wages to macroeconomic developments in general and agricultural development in particular. As part of empirical investigation, the paper develops a simple model of agricultural real wages that depend on agricultural productivity. In order to examine the long-run relationship between agricultural productivity and real wages, the paper applies the Autoregressive Distributed Lag Bounds testing approach. Empirical results suggest that there exists a long-run relationship between agricultural productivity and real wages, and that agricultural productivity can be treated as a ‘long-run forcing variable’ in explaining agricultural real wages. In the dynamic specification of real wages, the coefficient on oneperiod lagged error-correction term bears the expected negative sign and is significant. The forecasting ability of the error correction model is satisfactory with respect to the level or the percentage change of real wages. The overall results are consistent with the findings of earlier studies that agricultural productivity is a key determinant of real wages in Bangladesh.

scholarly journals Does educational attainment matter for Environmental Kuznets Curve? Evidence from aggregated and disaggregated time series data of China

2021 ◽  
Author(s):  
Yuanpei Cui ◽  
Zikun Wei ◽  
Qinglin Xue ◽  
Sidra Sohail
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Long Run ◽  
Primary Focus ◽  
The Impact

Abstract The primary focus of this study is to evaluate the impact of various levels of education on CO2 emissions in China. Moreover, the study also tested the EKC hypothesis for different levels of education and economic development. The analysis employed disaggregate and aggregate data for education that included enrollment at primary, secondary, and tertiary levels and the average year of schooling. For empirical analysis, we employed an error correction model and bounds testing approach to cointegration. The results of the study provided some useful information both in the short and long run. All the proxies of education positively impact CO2 emissions at the initial level both in the short and long run; however, when we take the square of these variables, the effects of education on CO2 emissions become negative. Similarly, the impact of economic growth on CO2 emissions is positive in the short and long run, and the square of economic growth on CO2 emissions is negative, supporting the EKC hypothesis.

scholarly journals Impact of Climate Change on Paddy Production: Evidence from Nepal

2020 ◽  
Vol 17 (2) ◽  
pp. 63-78
Author(s):  
Niranjan Devkota ◽  
◽  
Nirash Paija ◽  
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Rice Yield ◽  
Series Data ◽  
Bounds Testing ◽  
Rice Varieties ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Rice Yields

This study assesses the long-run relationship and short-run dynamics between paddy yields and climate variables, particularly maximum and minimum temperature and rainfall, using time-series data from 1971 to 2014 in Nepal. Applying Autoregressive-Distributed Lag Regression or ARDL bounds testing approach for analysis of co-integration between the variables, we confirm that there is a long-run relationship among the variables. Furthermore, we employ Granger non-causality tests for robustness. The findings reveal that rainfall has substantial effects on the rice yield. Specifically, a positive and significant relationship exists between rice yields and rainfall and that this relationship is unidirectional. Rainfall impacts on rice yield and holding all things constant, a 1 mm increase in rainfall increases rice yields by 0.65 percent. Given the effects of temperature on rice crops and increasing climate change vulnerabilities, agricultural scientists should focus on research and development of temperature tolerant rice varieties in the production of rice yields.

scholarly journals Lending rate and firms’ investment decisions : Evidence from Ghana

2017 ◽  
Vol 5 (2) ◽  
pp. 141
Author(s):  
Joseph Amo ◽  
Hadrat M. Yusif
Keyword(s):  
Time Series Data ◽  
Negative Impact ◽  
Investment Decision ◽  
Private Investment ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Lending Rate ◽  
Short Run ◽  
The Impact

This paper has examined the impact of lending rate on firms’ investment decision in Ghana. The Autoregressive Distributed Lag (ARDL) estimation framework was applied to time series data from 1980 to 2011. We found that lending rate has significant negative impact on private investment in both short run and long run in Ghana. It was also found that real GDP has a significant direct impact on private investment in both the short run and the long run periods. Our findings have important implications for investment policy in Ghana.

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