Relationship Between Tax Revenues and Globalization

2019 ◽  
pp. 119-141
Author(s):  
İbrahim Özmen ◽  
Selçuk Balı
Keyword(s):  
Cross Sectional ◽  
Country Group ◽  
Tax Revenues ◽  
Nation States ◽  
Long Run ◽  
Panel Granger Causality ◽  
Causality Tests ◽  
Causality Relationship ◽  
Granger Causality Tests

The aim of this chapter is to investigate the potential impacts of globalization on tax revenues with reference to theoretical explanations within the context of tax and globalization. In the study, G10 country group and the data belonging to these countries between the years of 1990 and 2015 are used. In order to determine the relationships between tax revenues and globalization, cross-sectional dependency test, slope heterogeneous tests, and bootstrap panel Granger causality tests were used to understand the direction of causality between long-term coefficient estimations and variables. While the results of the long-run coefficient obtained from the study show differences according to the countries, a bi-directional causality relationship is determined between tax revenues and foreign trade. The diminishing effect of globalization found on the tax revenues of nation states considered within the scope of the study. It can be thought that these outcomes may provide some preliminary information to policymakers.

scholarly journals An analysis of the relationship of inflation and unemployment to the gross domestic product (gdp) in zimbabwe

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Cointegration Test ◽  
Domestic Product ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship ◽  
Yearly Data

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.

BSC and long-term deployment: an actors' perspective

2020 ◽  
Vol 21 (3) ◽  
pp. 383-396
Author(s):  
Pierre-Laurent Bescos ◽  
Aude Deville ◽  
Philippe Foulquier
Keyword(s):  
Balanced Scorecard ◽  
Single Case ◽  
Actor Network Theory ◽  
Insurance Company ◽  
Cross Sectional ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Long Run ◽  
Human Actors

PurposeThis paper examines the roles of the balanced scorecard (BSC) in a long-term perspective and with a large deployment along numerous hierarchical levels. For this purpose, we use a longitudinal analysis of an implementation in a mutual insurance company.Design/methodology/approachWe combine actor–network theory (ANT) with interventionist research (IVR) to analyze the interrelation between human and non-human actors. Our study is based on various materials like interviews, meeting reports, graphs and so on.FindingsThe BSC is considered as a non-human actor which influences the human actors and provides specific benefits from a long-term use, due to various roles played by this tool (a mediator role, completed by a role of translator and revealer).Research limitations/implicationsResearch based on larger cross-sectional studies are necessary to more deeply validate our results based on a single case study.Practical implicationsThis paper gives some insights on processes and on actors an organization can mobilize to maintain the benefits provided by a large BSC use in the long run.Originality/valueIn line with the ANT concepts, our main contribution is to explain the outcomes of an innovation in management accounting by the consequences of adaptation mechanisms grounded on actors, translations, alliances and trials of strength.

The Effect of Deregulation on Employee Earnings: Pilots, Flight Attendants, and Mechanics, 1959–1992

ILR Review ◽  
1996 ◽  
Vol 49 (2) ◽  
pp. 223-242 ◽  
Author(s):  
Pierre-Yves Crémieux
Keyword(s):  
Flight Attendants ◽  
Firm Level ◽  
Cross Sectional ◽  
Long Run ◽  
Airline Deregulation ◽  
Level Data ◽  
Negative Effect ◽  
Long Term Trends ◽  
Sectional Analysis

Previous studies of the effect of the 1978 Airline Deregulation Act on employee earnings have reported mixed results: some have found no negative long-run effect of deregulation and others have found a negative effect of up to 10%. Most of these studies relied on cross-sectional analysis of a few years' data. This paper, in contrast, examines the long-term trends in airline earnings, based on 34 years of newly collected firm-level data from the Department of Transportation's Form 41 and airline workers' unions. The author finds that although deregulation had no statistically significant effect on the earnings of mechanics, it strongly affected the earnings of flight attendants and pilots. Flight attendants' earnings were at least 12% lower by 1985 and 39% lower by 1992 than they would have been if deregulation had not occurred, and the corresponding shortfalls for pilots were 12% and 22%.

Autonomous expenditures and induced investment: a panel test of the Sraffian supermultiplier model in European countries

2020 ◽  
Vol 8 (2) ◽  
pp. 220-239
Author(s):  
José A. Pérez-Montiel ◽  
Carles Manera Erbina
Keyword(s):  
Economic Policies ◽  
Cross Sectional ◽  
Endogenous Regressors ◽  
Long Run ◽  
Equilibrium Relationship ◽  
National Economic ◽  
Causality Tests ◽  
Cross Sectional Dependence ◽  
European Economies ◽  
Heterogeneous Panel

This paper tests the main postulates of the Sraffian supermultiplier model for the case of 16 European economies during the period 1995–2018. We adopt the methodology of Girardi and Pariboni (2016) and extend it to a panel framework. We apply panel unit root, cointegration, and causality tests that are robust to endogenous regressors, cross-sectional dependence and heterogeneity across countries. Our results are supportive of the Sraffian supermultiplier model. In a heterogeneous panel framework, autonomous demand and output follow a long-run equilibrium relationship and there exists panel long-run causality that goes unidirectionally from autonomous demand to output. We also empirically verify the investment accelerator (the mechanism that enables the dynamic stability of the model) by confirming the existence of same-sign panel causality running unidirectionally from the growth rate of autonomous demand to the investment share. Our results call for national economic policies aimed at promoting the components of autonomous demand that act as locomotives of growth in each country.

THE LINKAGE BETWEEN EXPORT AND INCOME: FURTHER EVIDENCE FROM BANGLADESH

2011 ◽  
Vol 56 (01) ◽  
pp. 79-95 ◽  
Author(s):  
RUHUL A. SALIM ◽  
MOHAMMAD A. HOSSAIN
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Cointegration Analysis ◽  
Income Growth ◽  
Causality Test ◽  
Long Run ◽  
Export Expansion ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Growth Hypothesis

This article empirically re-examines the export-led growth hypothesis in the context of Bangladesh using the quarterly data from 1973:1 to 2005:4. The standard time series econometric techniques, such as cointegration and Granger causality tests within the error correction modelling (ECM) are used for this purpose. The results from cointegration analysis suggest that there is stable long-run relationship between exports and income and the results from Granger causality test based on the ECM shows unidirectional causal relationship between exports and income. Thus, these results validate the country's export expansion programs to achieve long-run income growth.

Do agriculture-based economies mitigate CO2 emissions?

2019 ◽  
Vol 14 (3) ◽  
pp. 638-652 ◽  
Author(s):  
Javaid Ahmad Dar ◽  
Mohammad Asif
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
South Asian ◽  
Carbon Emissions ◽  
Real Income ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests

Purpose This study aims to fill the gap in income-environment literature by adding agricultural contribution to the nexus. The authors investigate the short-run and long-run impact of agricultural contribution, renewable energy consumption, real income, trade liberalisation and urbanisation on carbon emissions for a balanced panel of five South Asian Association for Regional Cooperation (SAARC) countries spanning the period 1990-2013. Design/methodology/approach Pedroni and Kao cointegration techniques have been used to test the existence of long-run relationship between the variables. The directions of causal relationships have been verified using Granger causality tests. Further, the long-run parameters of the baseline equation have been estimated by using the fully modified ordinary least squares, the technique developed by Pedroni, (2001a) for heterogeneous cointegrated panels. Findings The result reveals that agricultural contribution and renewable energy consumption improve environmental quality in the long run, while urbanisation and per capita real income degrade it. The study did not find any evidence of “pollution heaven hypothesis” in the selected countries. The Granger causality tests confirm bidirectional causality between carbon emissions and income and between carbon emissions and urbanisation. In addition, there is unidirectional causality running from agricultural contribution to renewable energy consumption. Originality/value This is the only study to investigate the role of agriculture sector in carbon mitigation from a panel of South Asian economies. To the best of the authors’ knowledge, it is also the first study to test the applicability of “pollution heaven hypothesis” for SAARC countries.

Causal Relationship between Foreign Direct Investment and Economic Growth

2015 ◽  
pp. 319-330 ◽  
Author(s):  
Hasan Bakır ◽  
Filiz Eryılmaz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Foreign Investment ◽  
Direct Investment ◽  
Direct Foreign Investment ◽  
Causality Test ◽  
Causality Tests ◽  
Causality Relationship ◽  
Granger Causality Tests ◽  
Per Capita

In this chapter, the authors investigate the causality relationship between the inflows of foreign direct investment (FDI) and economic growth as measured by Real Gross Domestic Product (GDP) per capita in Turkey during the period 1974-2012 by using the Granger causality tests. The causality test indicates that economic growth Granger-causes FDI. This means that there is bidirectional causality from Reel GDP to FDI in Turkey. So the author results support “the growth – driven FDI hypothesis”. This demonstrates that in the related time in Turkey, more direct foreign investment entered the economy together with an increase in economic growth.

Does tourism activity reduce the size of the informal economy? Capturing long-term heterogeneous linkages around the world

2021 ◽  
pp. 135481662110498
Author(s):  
Aldo Salinas ◽  
Cristian Ortiz ◽  
Pablo Ponce ◽  
Javier Changoluisa
Keyword(s):  
Low Income ◽  
Informal Economy ◽  
Least Square ◽  
Low Income Countries ◽  
Global Level ◽  
Causality Test ◽  
Country Group ◽  
Long Run ◽  
Tourism Activity

This paper investigates the long-term and causal relationship between tourism activity and the informal economy in 76 countries from 1995 to 2015. We explore this relationship at the global level and by country group, using panel, co-integration techniques that indicate the existence of a long-run co-integration relationship between tourism and informal economy for the whole sample and at the level of country groups. Additionally, the paper analyzes the long-run coefficients of the model by using fully modified ordinary least square regressions (FMOLS). The results from FMOLS evidence a negative and significant impact of tourism on the informal economy at the global level and in high, upper-middle, and lower-middle income countries, but a positive link in low-income countries. However, the results reveal a heterogeneous long-run relationship within country groups. Also, the result of the Dumitrescu-Hurlin Granger causality test indicates bidirectional causality in the global sample, but the direction of causality varies by country group. The main policy implication derived from our findings suggests that in order to reduce the size of informal economy, policy-makers should foster tourism activities. JEL Classification : J01, L83, C23, O57, C00, C01

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