scholarly journals Tax buoyancy in Jordan: Meeting the challenge after COVID-19

2021 ◽  
Vol 10 (1) ◽  
pp. 167-174
Author(s):  
Mohammad Khataybeh ◽  
Ghassan Omet ◽  
Fayez Haddad
Keyword(s):  
Growth Rates ◽  
Public Debt ◽  
Normal Growth ◽  
Annual Data ◽  
Vector Error Correction ◽  
Tax Revenues ◽  
Vector Error ◽  
The Status ◽  
Stationarity Tests ◽  
The Impact

Public finance in Jordan has always been poor. Indeed, not a single Jordanian government has managed to have a surplus in its budget. In addition, and within the context of the already high, and rising public debt, COVID-19 will not only exacerbate this problem even further. This is why the main purpose of this paper is to estimate tax buoyancy in Jordan. This is a timely issue to examine because once the Jordanian economy goes back to its normal growth rates (after COVID-19), the status of the fiscal deficit (and public debt) will depend, to a large extent, on tax buoyancy. To estimate the impact of Gross Domestic Product (GDP) on tax revenues (tax buoyancy), the paper uses annual data (1992 2019) and time series techniques including stationarity tests, Johnsen cointegration test, and vector error correction model (VECM). Based on the empirical estimations, one can state that tax buoyancy in Jordan is less than one. This indicates that once the Jordanian economy goes back to its pre-COVID-19 growth rates, the increase in total tax revenues will not reciprocate the increases in GDP. This is unfortunate, given the already high existing public debt level. However, what is encouraging is the fact that sales tax and corporate tax are buoyant. The only way to increase tax buoyancy (and total tax to GDP ratio) is to make the sources of tax revenues more diversified and more progressive.

Competitive and Complementary Relations in International Travel: The Case of British Travel to Cyprus

2019 ◽  
Vol 10 (5) ◽  
pp. 395-420
Author(s):  
Petros Anastasopoulos ◽  
Keyword(s):  
Strong Association ◽  
International Travel ◽  
Relative Price ◽  
Annual Data ◽  
Export Demand ◽  
Relative Prices ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Mediterranean ◽  
Demand Equations

This is an econometric analysis of demand for travel to Cyprus by Britons. We examined the competitive and complementary relations between travel to Cyprus and other well-established travel destinations in the Mediterranean basin. Because many package tours include several countries in their destinations within a given journey, and because individual travelers find it more advantageous to visit more than one country in a single trip, it may be meaningful to examine international travel within the contest of groups of countries rather than a single country competing for international travelers. Specifically, we provide an analysis of the competitive and complementary relations existing between the tourism sectors of Cyprus and that of Greece, Spain and Portugal for British travelers. We provide estimates of income and relative price elasticities based of export demand equations upon annual data from 1980-2016. We tested for the stationarity of the variables and derived estimates of the Vector Error Correction Model (VECM). These tests confirm a strong association between the incomes of Britons and their decision to travel to Cyprus. Furthermore, we show the relative prices between Cyprus and other competing destinations in the Mediterranean to play an important role in determining British travel to Cyprus.

scholarly journals Do Erratic Rainfalls Hamper Grain Production? Analysis of Supply Response of Rice to Price and Non-Price Factors

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri
Keyword(s):  
Unit Root Test ◽  
Rice Production ◽  
Vector Error Correction ◽  
Supply Response ◽  
Target Time ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.

scholarly journals Analysis of Cryptocurrency Dynamics in the Emerging Market Economies: Does Reinforcement or Substitution Effect Prevail?

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110025
Author(s):  
Chika Anastesia Anisiuba ◽  
Obiamaka P. Egbo ◽  
Felix C. Alio ◽  
Chuka Ifediora ◽  
Ebele C. Igwemeka ◽  
...  
Keyword(s):  
Emerging Market ◽  
Substitution Effect ◽  
Global Market ◽  
Emerging Market Economies ◽  
Vector Error Correction ◽  
Market Economies ◽  
Vector Error ◽  
The Status ◽  
Chinese Yuan ◽  
Digital Assets

We analyzed cryptocurrency dynamics in the global U.S. dollar–denominated market and the emerging market economies (EMEs) with a view to ascertaining whether activities in these markets are predominantly shaped by reinforcement or substitution effect. Cryptocurrencies analyzed include the Bitcoins, Ethereum, Litecoin, Steller, Bitcoin Cash, and USD Tether. The results suggest that, on average, correlation between digital assets in the cryptocurrencies’ ecosystem is positive. However, there is evidence of an outlier with respect to the USD Tether (USDT) in the global market, revealing that the USDT is negatively associated with all other cryptocurrencies. This is supported by the dynamic regression results that provided evidence of reinforcement effect in favor of the USDT in the global crypto market, thus confirming the status of the USDT as “Stablecoin” as it is pegged 1:1 to USD. In the global market context, the results also revealed that USDT/USD returns had identical outliers that could portend lesser chances of extreme gains or losses compared with suggestions of extreme gains or losses in the EMEs. Furthermore, USDT did not seem to have similar evolution in the EMEs where it had relatively marginal influence in the markets. The vector error correction (VEC) estimate showed mixed results between Altcoins in all the markets; moreover, our finding showed that reinforcement effects hold in favor of Steller (XLM) both in the Russian ruble and Indian rupee crypto markets, whereas the Chinese yuan crypto market was predominantly characterized by substitution effect in favor of Bitcoin.

Assessing the Impact of Terrorism on African Tourism Demand

2021 ◽  
Author(s):  
Sheereen Fauzel ◽  
Boopen Seetanah
Keyword(s):  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Terrorist Attacks ◽  
Tourism Demand ◽  
African Countries ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Impact ◽  
The Relationship

Many African states are relying on or have identified tourism to accelerate their growth and the continent has become the world’s second fastest growing tourist industry. However, African states have also not been spared by increasing terrorism attacks during the past decades, probably hindering the growth of this sector to certain extent. This study examines the relationship between terrorism and tourism for a sample of selected African countries over the period 1995 to 2017. Given the dynamic nature of tourism demand and the possibility of endogenous relationships in the terrorism-tourism nexus, dynamic panel data analysis, namely a Panel vector error correction model (PVECM) is employed. The results confirm that terrorism negatively affects tourism demand in Africa and this can be explained by the reactive psychology of tourists to the various aggravated terrorist attacks in the countries. Moreover, the findings show that an increase in tourism may have resulted in an increase in terrorist attacks, hence confirming a bi directional causality between tourism and terrorism.

scholarly journals Foreign capital flows, exports and growth in Zambia

2015 ◽  
Vol 5 (4) ◽  
pp. 26-37
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Capital Flows ◽  
Foreign Capital ◽  
Growth Enhancement ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Foreign Capital Flows ◽  
Causality Relationship ◽  
The Impact

This study investigates the causality between FDI net inflows, exports and GDP using Vector Error Correction Model (VECM) approach. The words foreign capital flows and FDI are used interchangeably in this study. The findings from the VECM estimation technique is six fold: (1) the study revealed a long run causality relationship running from exports and GDP towards FDI, (2) the study showed a non–significant long run causality relationship running from FDI and exports towards GDP and (3) the existence of a weak long run causality relationship running from FDI and GDP towards exports in Zambia. The study also found out that no short run causality relationship that runs from FDI and exports towards GDP, short run causality running from FDI and GDP towards exports does not exist and there is no short run causality relationship running from exports and GDP towards FDI. Contrary to the theory which says that FDI brings along with it a whole lot of advantages (FDI technological diffusion and spill over effects), the current study found that the impact of FDI in Zambia is not significant in the long run. This is possibly because certain host country locational characteristics that ensures that Zambia can benefit from FDI inflows are not in place or they might be in place but still not yet reached a certain minimum threshold levels. This might be an interesting area for further research. On the backdrop of the findings of this study, the author recommends that the Zambian authorities should formulate and implement export promotion strategies and economic growth enhancement initiatives in order to be able to attract more FDI.

scholarly journals Effect of Money Supply on the Stock Market

2017 ◽  
Vol 65 (2) ◽  
pp. 465-472 ◽  
Author(s):  
Vladimír Pícha
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Policy Framework ◽  
Vector Error Correction ◽  
Flow Of Funds ◽  
Portfolio Balance ◽  
Vector Error ◽  
Long Run ◽  
The Impact

This paper observes effect of money supply on the stock market through the portfolio balance channel as a transmission mechanism of monetary policy. National flow of funds accounts, specifically assets from US households’ portfolios, represent a key data source. Johansen’s cointegration methodology is employed in the empirical part of the paper to analyze both short term and long term relationships among researched variables. Estimates of vector error correction model help to reliably quantify intensity of the effect. Results show money supply excercises influence on valuation of S&P 500 index with 6 months lag. The impact is also distinguishable in the long run, whereas all observed asset classes can positively influence price of S&P 500. Findings are then contextualized in the concluding part of the paper using a monetary policy framework.

scholarly journals The impact of bank-specific and macroeconomic variables on profitability of Islamic rural bank in Indonesia

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Muhammad Sanusi
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Estimation Model ◽  
Policy Makers ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
Vector Error ◽  
The Impact

This paper investigates the impact of bank-specific and macroeconomic variables on the profitability of Islamic rural bank (BPRS) in Indonesia. Using monthly time series data from January 2010 - December 2018. The estimation model used is a vector error correction model to analyze the long-term and short-term relationships between bank-specific and macroeconomic variables on the profitability of Islamic rural bank. The results showed that CAR and LnTA had a significant positive relationship, while NPF, BOPO and IPI had a negative and significant relationship to the profitability of Islamic rural banks. But FDR and Inflation variables are not significantly related to the profitability of Islamic rural bank. The results leave implications for policy makers, investors and banking sector managers. Based on evidence that bank profitability is more influenced by internal banks (as specific as banks), this research can help Islamic rural banks to help them understand which factors are important to be analyzed to obtain higher profitability.

scholarly journals CAN FOREIGN DIRECT INVESTMENT REDUCE UNEMPLOYMENT IN HOME COUNTRIES? ANALYSIS FOR ASEAN COUNTRY

2019 ◽  
Vol 4 (2) ◽  
pp. 143
Author(s):  
ELSA WIDIA ◽  
ENDRIZAL RIDWAN ◽  
FAJRI MUHARJA
Keyword(s):  
Empirical Studies ◽  
Direct Foreign Investment ◽  
Annual Data ◽  
Long Term Effects ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Asean Country

Direct Foreign Investment (FDI) has been considered as one of the important strategies in long-term economic development. FDI is seen not only as a capital transfer but also has an important effect on increasing the host economy. FDI then became popular in many countries, so it was interesting to analyze the effects produced, both positive and negative. This research focuses on countries in the Association of Southeast Asian Nations (ASEAN) with the aim of conducting empirical studies on opportunities for employment creation by FDI. However, due to limited data in several countries, this study only involved Indonesia, Singapore, Malaysia and Thailand. The type of data used in this study is annual data covering from 1980-2017. Using estimation Vector Error Correction Model (VECM) allows to see short-term and long-term effects. The test results prove that the influence between variables is more visible in the long run

Public debt, corruption and shadow economy in Africa: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Owusu-Nantwi ◽  
Gloria Owusu-Nantwi
Keyword(s):  
Public Debt ◽  
Shadow Economy ◽  
African Countries ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Policies And Programs

PurposeThe purpose of this paper is to examine the effect of corruption and shadow economy on public debt in 51 African countries. In addition, the study explores the causal linkage between corruption, shadow economy and public debt.Design/methodology/approachThe study employs vector error correction model and Kao cointegration test to examine the long-run relationship between corruption, shadow economy and public debt in Africa.FindingsThe study finds a positive and statistically significant relationship between corruption and public debt. Further, the study reports a positive and statistically significant effect of shadow economy on public debt. In the short run, the study finds a unidirectional causal relationship between corruption, shadow economy and public debt with the direction of causality running from corruption and shadow economy to public debt, respectively.Practical implicationsThis study recommends that countries should pursue policies and programs that would provide resources to agencies tasked with the responsibility of fighting corruption. This would ensure that countries have effective institutions that curb vulnerabilities to corruption and reduce the size of the shadow economy and public debt.Originality/valueThis study contributes to the literature by showing how corruption and shadow economy affects public debts of African countries. To the best of the author's knowledge, this is the first attempt to examine this relationship in the context of Africa.

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