scholarly journals CAN REMITTANCES BOOST TAX REVENUES IN ZIMBABWE? A SECONDARY QUARTERLY TIME-SERIES ANALYSIS

2021 ◽  
Vol 9 (2) ◽  
pp. 128-144
Author(s):  
Michael Takudzwa Pasara ◽  
◽  
Michael Zuze ◽  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Good Governance ◽  
Value Added ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Tax Revenue ◽  
Tax Revenues ◽  
Main Challenge ◽  
The Government

The study applied the ordinary least squares (OLS) technique on quarterly time-series data to analyze if remittances can boost tax revenue in Zimbabwe. The main challenge faced in Zimbabwe is the insufficient tax revenues to finance growing public spending needs. Results indicate that the share of remittances both in the current and lagged period significantly influenced income tax revenue and the volume of manufacturing. Trade openness was found to be insignificant. Similar results were also observed for the variables when value-added tax to total revenue was the dependent variable. When lagged variables were taken into account, results showedthat only remittances were significant. Thus, increased remittance inflows have significant potential to generate more taxes for the government through income and consumption taxes. The study recommends the creation of platforms, which stimulate and attract more remittances, such as reducing costs of sending remittances through formal channels. Secondly, good governance and quality institutions provide appropriate economic environment and growth policies. Economic growth fosters increased and sustainable tax due to an increased tax base.

Resource–Economic Growth Nexus, Role of Governance, Financial Development, Globalisation and War: Dynamic Approach

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Development ◽  
Time Series Data ◽  
Good Governance ◽  
Series Data ◽  
Negative Effect ◽  
The Government ◽  
Rich Countries

This study reassesses the resource–economic growth nexus by incorporating several channels. Advanced panel time series techniques are used to analyse panel time series data from 1980 to 2015 in 31 oil-rich countries. Results show that oil rent augments economic growth; thus, oil rent is conducive rather than impediment for economic growth. The role of governance in economic growth is significant in the selected countries. Oil rent exerts a positive significant impact on economic growth in countries with good governance compare to countries with poor governance. Financial development is an unimportant channel in the resource–growth nexus because FD is often unable to mobilise oil rent from the government to the private sector in oil-rich countries. Globalisation is advantageous for countries and promote economic growth. Moreover, war exerts a significant negative effect on growth in the long term.

scholarly journals Resource–Economic Growth Nexus, Role of Governance, Financial Development, Globalisation and War: Dynamic Approach

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Development ◽  
Time Series Data ◽  
Good Governance ◽  
Series Data ◽  
Negative Effect ◽  
The Government ◽  
Rich Countries

This study reassesses the resource–economic growth nexus by incorporating several channels. Advanced panel time series techniques are used to analyse panel time series data from 1980 to 2015 in 31 oil-rich countries. Results show that oil rent augments economic growth; thus, oil rent is conducive rather than impediment for economic growth. The role of governance in economic growth is significant in the selected countries. Oil rent exerts a positive significant impact on economic growth in countries with good governance compare to countries with poor governance. Financial development is an unimportant channel in the resource–growth nexus because FD is often unable to mobilise oil rent from the government to the private sector in oil-rich countries. Globalisation is advantageous for countries and promote economic growth. Moreover, war exerts a significant negative effect on growth in the long term.

scholarly journals Impact of Oil Price Changes on Certain Budget Variables, Government and Tax Revenues, External Grants, and Government Expenditures in Jordan

2018 ◽  
Vol 10 (7) ◽  
pp. 150
Author(s):  
Amjad Qwader
Keyword(s):  
Alternative Energy ◽  
Time Series Data ◽  
Ordinary Least Squares ◽  
Oil Price ◽  
Government Expenditures ◽  
Series Data ◽  
Price Changes ◽  
Tax Revenues ◽  
The Government ◽  
The Impact

This study evaluated the impact of oil price changes on certain budget variables in Jordan over the period of 1992 to 2015. Time series data were analyzed using econometric techniques that included ordinary least squares. Findings from the analysis revealed a statistically significant positive correlation for oil price on government and tax revenues, external grants, and government expenditures, whereas oil price on budget deficits had a statistically significant negative correlation. Therefore, the study proposes that the government of Jordan directly invests its oil tax revenues in economic sectors, such as agriculture and manufacturing, to broaden the sources of revenue, as well as exploit such revenues to establish alternative energy projects, whether from the sun, wind, or both. In addition, the establishment of such projects is suitable for the conditions of the Jordanian environment.

scholarly journals EFEKTIVITAS PAJAK BUMI & BANGUNAN PERDESAAN DAN PERKOTAAN TERHADAP PENDAPATAN ASLI DAERAH (PAD) DI KABUPATEN TASIKMALAYA

2019 ◽  
Vol 3 (2) ◽  
pp. 133-140
Author(s):  
Taufik Wibisono ◽  
Yani Sri Mulyani
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Government Funding ◽  
Series Data ◽  
Tax Revenue ◽  
Data Types ◽  
Regional Autonomy ◽  
Rural And Urban ◽  
The Government

ABSTRACTTHE EFFECTIVENESS OF EARTH TAXES & RURAL AND URBAN BUILDING TO REGIONAL ORIGINAL INCOME (PAD)IN TASIKMALAYA DISTRICT. In the current era of regional autonomy the government needs substantial funds to meet government funding in implementing regional development through Regional Original Revenue (PAD), which is a source of regional revenue. The purpose of reseach was to determine the level of effectiveness and contribution of Regional Taxes to PAD.The data sources used in this research were  secondary data with Time Series data types. Secondary data used was the Budget Realization Report for Tasikmalaya Regency Regional Tax Revenue in 2018.The effectiveness of the land and building tax on regional original income was in the effective category, in other words that the level of effectiveness of land and building tax is at 97%.The contribution of land and building tax to regional original income was in the category 111,8% in other words that the level of land and building tax contributions was  in the numbers 35,43% Keywords: effectiveness. Earth and building tax, income  Abstrak Dalam era otonomi daerah saat ini pemerintah membutuhkan dana yang cukup besar untuk memenuhi pembiayaan pemerintah dalam melaksanakan pembangunan daerah melalui Pendapatan Asli Daerah (PAD) yang merupakan sumber penerimaan daerah. Tujuan penelitian ini adalah untuk mengetahui tingkat efektivitas dan kontribusi Pajak Daerah terhadap PAD.Sumber data yang digunakan dalam penelitian ini adalah data sekunder dengan jenis data Time Series. Data sekunder yang digunakan yaitu Laporan Realisasi Anggaran Penerimaan Pajak Daerah Kabupeten Tasikmalaya tahun 2018. Efektivitas pajak bumi dan bangunan daerah terhadap pendapatan asli daerah berada pada kategori efektif, dengan kata lain bahwa tingkat efektifitas pajak bumi dan bangunan berada di angka 111,8 %. Kontribusi pajak bumi dan bangunan terhadap pendapatan asli daerah berada dalam katergori cukup baik dengan kata lain bahwa tingkat kontribusi pajak bumi dan bangunan berada pada angka 35,43%. Kata kunci: efektivitas.pajak bumi dan bangunan, pendapatan   

scholarly journals The Effect of IJ-EPA to Indonesia Export: Interupted Time Series (ITS) Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 128-145
Author(s):  
Yuafanda Kholfi Hartono ◽  
Sumarto Eka Putra
Keyword(s):  
Time Series ◽  
Free Trade ◽  
Free Trade Agreement ◽  
Time Series Data ◽  
Current Account Deficit ◽  
Trade Agreement ◽  
Export Market ◽  
Series Data ◽  
The Government ◽  
The Impact

Indonesia Japan Economic Partnership Agreement (IJ-EPA) is a bilateral free-trade agreement between Indonesia and Japan that has been started from July 1st, 2008. After more than a decade of its implementation, there is a question that we need to be addressed: Does liberalization of IJ-EPA make Indonesia’s export to Japan increase? This question is important since the government gives a trade-off by giving lower tariff for certain commodities agreed in agreement to increase export. Using Interrupted time series (ITS) analysis based on time-series data from Statistics Indonesia (BPS), this article found that the impact of IJ-EPA decreased for Indonesia export to Japan. Furthermore, this paper proposed some potential commodities that can increase the effectiveness of this FTA. The importance of this topic is that Indonesia will maximize the benefit in implementing of agreement that they made from the third biggest destination export of their total export value, so it will be in line with the government's goal to expand export market to solve current account deficit. In addition, the method that used in this paper can be implemented to other countries so that they can maximize the effect of Free Trade Agreement, especially for their export.

scholarly journals Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series

2020 ◽  
Vol 109 (11) ◽  
pp. 2029-2061
Author(s):  
Zahraa S. Abdallah ◽  
Mohamed Medhat Gaber
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Ensemble Classifier ◽  
Series Data ◽  
New Classification ◽  
Symbolic Representations ◽  
Classification Technique ◽  
Field Of Vision ◽  
Main Challenge ◽  
Wide Range

Abstract Time series classification (TSC) is a challenging task that attracted many researchers in the last few years. One main challenge in TSC is the diversity of domains where time series data come from. Thus, there is no “one model that fits all” in TSC. Some algorithms are very accurate in classifying a specific type of time series when the whole series is considered, while some only target the existence/non-existence of specific patterns/shapelets. Yet other techniques focus on the frequency of occurrences of discriminating patterns/features. This paper presents a new classification technique that addresses the inherent diversity problem in TSC using a nature-inspired method. The technique is stimulated by how flies look at the world through “compound eyes” that are made up of thousands of lenses, called ommatidia. Each ommatidium is an eye with its own lens, and thousands of them together create a broad field of vision. The developed technique similarly uses different lenses and representations to look at the time series, and then combines them for broader visibility. These lenses have been created through hyper-parameterisation of symbolic representations (Piecewise Aggregate and Fourier approximations). The algorithm builds a random forest for each lens, then performs soft dynamic voting for classifying new instances using the most confident eyes, i.e., forests. We evaluate the new technique, coined Co-eye, using the recently released extended version of UCR archive, containing more than 100 datasets across a wide range of domains. The results show the benefits of bringing together different perspectives reflecting on the accuracy and robustness of Co-eye in comparison to other state-of-the-art techniques.

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 Potential Tax Reforms and Kuwait Economic Growth

2019 ◽  
pp. 42-48
Author(s):  
K. Lawler ◽  
F. Ali Al-Sayegh
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Value Added ◽  
Least Square ◽  
Series Data ◽  
Tax Reforms ◽  
Tax Revenues ◽  
Oil Revenue ◽  
The Impact

The objective of this study is to identify whether tax reforms are viable in Kuwait in order to create more government income from sources other than oil. The study examines the relationship between the changes in tax revenues, changes in oil revenue and changes in GDP in Kuwait using time series data from 1998 to 2015. The Augmented Dickey-Fuller (ADF) is used to check for the existence of a unit root. The cointegration test is applied to test for long term relationships between variables using the General Least Square (GLS) method of estimation. The results of the tests find that the impact of changes in tax revenues on changes in the GDP of Kuwait is insignificant. Therefore, Kuwait’s government could rationally implement tax reforms to have incremental sources of income other than oil revenue. Moreover, it is argued that the government might consider implementing broad based consumption taxes and value added taxes into the tax structure Kuwait, and to invest the revenues from those taxes in productive policies, to induce long term economic growth.

scholarly journals PERAMALAN GARIS KEMISKINAN DI KABUPATEN PURBALINGGA TAHUN 2021-2023 DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING LINIER SATU PARAMETER DARI BROWN

2021 ◽  
Vol 13 (2) ◽  
pp. 155
Author(s):  
Dwi Anggraeni ◽  
Sri Maryani ◽  
Suseno Ariadhy
Keyword(s):  
Time Series ◽  
Poverty Alleviation ◽  
Time Series Data ◽  
Poverty Line ◽  
Exponential Smoothing ◽  
Series Data ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
The Government ◽  
Trend Coefficient

Poverty is a major problem in a country. The Indonesian government has made various efforts to tackle the problem of poverty. The main problem faced in poverty alleviation is the large number of people living below the poverty line. Therefore, this study aims to predict the poverty line in Purbalingga Regency for the next three periods as one of the efforts that can be made by the government in poverty alleviation. The method used in this study is a one-parameter linear double exponential smoothing from Brown. The software used in this research is Zaitun Time Series and Microsoft Excel. The steps taken are determining the forecasting objectives, plotting time series data, determining the appropriate method, determining the optimum parameter value, calculating the single exponential smoothing value, calculating double exponential smoothing value, calculate the smoothing constant value, calculate the trend coefficient value and perform forecasting. Based on the calculation results, the optimum alpha parameter value is 0.7 with MAPE value of 1.67866%, which means that this forecasting model has a very good performance. The forecast value of the poverty line in Purbalingga Regency for 2021 is Rp. 396,516, in 2022 it is Rp. 417,818, and in 2023 it is Rp. 439,120.

Sign in / Sign up

Export Citation Format

Share Document