In Turkey, The Relationship of Agricultural Sector and Economic Variables: Panel Cointegration Analysis

2020 ◽  
Vol 8 (9) ◽  
pp. 1892-1901
Author(s):  
Ayşe Esra Peker
Keyword(s):  
Interest Rate ◽  
Agricultural Sector ◽  
Panel Cointegration ◽  
Cointegration Analysis ◽  
Point Of View ◽  
Cointegration Test ◽  
Panel Cointegration Test ◽  
Monetary Supply ◽  
Macro Variables ◽  
Relationship Of

That agricultural sector is examined closer from every point of view and is restructured in complied with the requirements of the age has to be structured comes to our face as a reality any longer accepted by every sector of the society. The various developments experienced in the world in the recent years have directly or indirectly affected agricultural sector. In the economy of Turkey, one of the countries attracting attention with its rapidly growing, there are many theoretical studies dealing with the direct or indirect contribution of agricultural sector. However, it is necessary to increase the number of the applied studies introducing the existing situation of the sector and enabling to develop the effective policies for the sector. For, it is highly important for the theories put forward in theoretical framework to be supported by empirical analyses in terms of forming effective policy suggestions. In the study, the three sub-sectors were considered such as the subsectors of cereal, legume, and fruit-vegetable and the existing situation of the sector was analyzed by moving from the macro variables. In order to identify the effects of macroeconomic variables (inflation, exchange rate, interest, monetary supply), selected in the direction of the aim of the study, panel cointegration test was utilized. Setting off from this point, when the analysis made in the study is examined for all sectors, it was identified that the variable affecting the sector the most was interest rate. When the results of panel cointegration test between interest rate and agricultural production were examined, while there was a negative directional relationship between the production of subsector “fruit vegetable” and the variable “interest” as expected, it attracts attention that there was a positive relationship between the subsector of cereal legume and interest in contrast to this.

International Tourism and Opportunities for Economic Development in India

2017 ◽  
pp. 34-74
Author(s):  
Manoj Kumar
Keyword(s):  
Policy Making ◽  
Positive Impact ◽  
Panel Cointegration ◽  
Cointegration Test ◽  
International Tourism ◽  
Demand Model ◽  
Long Run ◽  
International Tourist ◽  
Panel Cointegration Test ◽  
Relationship Of

This chapter sought to find the long-run relationships between international tourist arrivals in India with economic variables such as GDP, transportation costs and the exchange rate for the period from 2002-2015. The cointegration techniques used was based on Panel Cointegration Test as well as both the OLS estimator and DOLS estimators were used to find long-run relationship of the international tourism demand model for India. The long-run results indicate that growth in income (GDP) of India's major tourist source markets has a positive impact on international visitor arrivals to India. Finally when the value of India's currency strong than the value of these country's currency increasing 1% then the number of international visitor arrivals to India decreasing 0.003% to 0.006%. Furthermore mostly findings were consistent with economic theory and the implications of the model can be use for policy making.

scholarly journals Revisiting Banking Stability Using a New Panel Cointegration Test

2021 ◽  
Vol 9 (2) ◽  
pp. 21
Author(s):  
Hassan B. Ghassan ◽  
Zakaria Boulanouar ◽  
Kabir M. Hassan
Keyword(s):  
Cross Section ◽  
Serial Correlation ◽  
Panel Cointegration ◽  
Cointegration Test ◽  
Current Version ◽  
Medium Term ◽  
Long Run ◽  
Panel Cointegration Test ◽  
Banking Stability ◽  
Score Index

Using a new panel cointegration test that considers serial correlation and cross-section dependence on a mixed and heterogenous sample of Saudi banks, we revisit the cointegrating equation of the z-score index of banking stability. Our results show that even when we consider the cross-section dependency and serial correlation of the errors, there is a possibility of a long-run relationship, which holds in our sample of banks. Furthermore, in the medium term, we found some banks to be integrated, whereas others were non-cointegrated. We interpret this to suggest that some banks contribute to banking stability, whereas others do not. In other words, there exists at least one bank that acts as a destabilizer and the challenge for financial regulators is to identify which banks these are. However, the current version of the Hadri et al. test does not allow for the identification of the non-cointegrated banks. If the test was able to do that, the regulatory authorities would be able to develop corrective policies/measures specifically tailored to the non-cointegrated units.

scholarly journals The Impact of Austerity Measures on Government Borrowing in GIIPS

2016 ◽  
Vol 8 (12) ◽  
pp. 106 ◽  
Author(s):  
Imre Ersoy ◽  
Talha Yanmaz
Keyword(s):  
Empirical Analysis ◽  
Rate Increase ◽  
Panel Cointegration ◽  
Government Debt ◽  
Cointegration Test ◽  
Tax Rate ◽  
Economic Agents ◽  
Panel Cointegration Test ◽  
Using Data ◽  
The Impact

The article investigates the effects of austerity measures on government debt in Greece, Ireland, Italy, Portugal and Spain (GIIPS) by employing panel cointegration test and using data between 1998 and 2014. The result of empirical analysis shows that tax rate increase on personal income did not result with decrease in government debt. Interest rate and wage that are control variables are also positively related with government debt levels. The result of this empirical analysis suggests that the impact of austerity measures on government borrowing in GIIPS is positive, despite the expectations of certain economic agents.

scholarly journals The Causality between Education and GDP Growth in Asian Countries

2015 ◽  
Vol 50 ◽  
pp. 28-35 ◽  
Author(s):  
Mohsen Mehrara ◽  
Maysam Musai
Keyword(s):  
Economic Growth ◽  
Formal Education ◽  
Panel Cointegration ◽  
Capital Formation ◽  
Cointegration Analysis ◽  
Point Of View ◽  
Asian Countries ◽  
Variable Model ◽  
Long Run ◽  
Educational Investments

This paper investigates the causal relationship between education and GDP in 40 Asian countries by using panel unit root tests and panel cointegration analysis for the period 1970-2010. A three-variable model is formulated with capital formation as the third variable. The results show a strong causality from investment and economic growth to education in these countries. Yet, education does not have any significant effects on GDP and investment in short- and long-run. It means that it is the capital formation and GDP that drives education in mentioned countries, not vice versa. So the findings of this paper support the point of view that it is higher economic growth that leads to higher education proxy. It seems that as the number of enrollments raise, the quality of the education declines. Moreover, the formal education systems are not market oriented in these countries. This may be the reason why huge educational investments in these developing countries fail to generate higher growth. By promoting practice-oriented training for students particularly in technical disciplines and matching education system to the needs of the labor market, it will help create long-term jobs and improve the country’s future prospects.

Investigation of the Foreign Direct Investment and Environmental Pollution Nexus for Developing Countries

2021 ◽  
pp. 320-338
Author(s):  
Orkun Çelik ◽  
Özge Korkmaz ◽  
Zafer Adalı
Keyword(s):  
Developing Countries ◽  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Direct Investment ◽  
Panel Cointegration ◽  
Cointegration Test ◽  
Annual Data ◽  
Pollution Haven ◽  
Panel Cointegration Test

In theory, the foreign direct investment and environmental pollution nexus is explained by three hypotheses. Firstly, pollution haven hypothesis assumes that there is a positive nexus between these variables. Secondly, pollution halo hypothesis supposes that there is negative connection between these variables. Lastly, neutrality hypothesis asserts the non-existence of the connection between these variables. In recent years, many researchers have frequently tested whether these hypotheses are valid for different countries. In this study, applying Westerlund panel cointegration test, the authors aim to explore the nexus between foreign direct investment and environmental pollution for 23 developing countries after global crisis. For this aim, they use annual data covering the period 2009-2019. According to the obtained empirical findings, the presence of the long-term nexus between foreign direct investment and environmental pollution is not detected for 23 developing countries. Accordingly, the authors can say that there is neutrality hypothesis.

Panel Data Analysis of Financial Development, Trade Openness, and Economic Growth: Evidence from BRICS Countries

2018 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Least Square ◽  
Cointegration Test ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Long Run ◽  
Panel Granger Causality ◽  
Panel Cointegration Test

The purpose of this article is to investigate the possible cointegration and direction of causality between foreign direct investment (FDI) inflow, trade openness, and economic growth in BRICS countries using panel data from 1993 to 2015. Besides these variables, money supply and domestic credit (DC) to private players are also added in the model to examine the impact of financial openness on economic growth. The Pedroni’s panel cointegration test is used to examine the existence of long-run relationship, and coefficients of cointegration are examined by fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS). Further panel Granger causality test is used to examine the direction of causality among the competing variables. The results of Pedroni’s panel cointegration test indicate that there exists a long-run relationship among the variables under considerations in BRICS countries. The coefficient of FMOLS and DOLS indicates that trade openness has a positive impact on economic growth in BRICS countries while FDI inflow has a negative impact in these nations. In addition, the results of panel Granger causality confirmed bidirectional causality between FDI inflow and economic growth in the short run. The study recommends that BRICS countries should liberalize trade openness as it strengthens the position of member countries in the world economy.

Investigating energy consumption and economic growth for BRICS-T countries

2019 ◽  
Vol 16 (4) ◽  
pp. 184-195 ◽  
Author(s):  
Durmuş Çağrı Yıldırım ◽  
Seda Yıldırım ◽  
Isıl Demirtas
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Savings ◽  
Panel Cointegration ◽  
Cointegration Test ◽  
Real Output ◽  
Content Type ◽  
Natural Logarithm ◽  
Panel Cointegration Test ◽  
The Relationship

Purpose The purpose of this paper is to explore the relationship between energy consumption and economic growth for Brazil, Russia, China, India, South Africa and Turkey (BRICS-T) countries. In this context, this study investigates energy consumption and real output in BRICS-T countries through panel cointegration. Design/methodology/approach The data include energy consumption and real output for BRICS-T countries and period of 1990–2014. The variables are transformed into natural logarithm. To analyze these data, this study employed Pedroni cointegration test, the second-generation panel cointegration test, Westerlund and Edgerton (2008) test and FMOLS test. Findings Results indicate that there is a bi-directional causality relationship between energy consumption and economic growth for BRICS-T countries. An increase in GDP leads to an increase in energy consumption and an increase in energy consumption leads to an increase in GDP. Research limitations/implications This study used data that include the period of 1990–2014 for BRICS-T countries. So, further studies can use different periods of data or different countries. Originality/value This study provides important evidence that countries with strong growth performance need to follow bi-directional energy policies to increase both energy investments and ensure energy savings.

scholarly journals The Corruption-Terrorism Nexus: A Panel Data Approach

2016 ◽  
Vol 8 (11) ◽  
pp. 111 ◽  
Author(s):  
Nahil Boussiga ◽  
Malek Ghdamsi
Keyword(s):  
Panel Cointegration ◽  
Political Stability ◽  
Cointegration Test ◽  
Correction Model ◽  
Major Threat ◽  
Long Run ◽  
Cointegration Tests ◽  
Panel Cointegration Test ◽  
The Relationship ◽  
Control Of Corruption

<p>Corruption has been increasingly recognized as the major threat to economic development, political stability and peace. It is also acknowledged by international community as the breeding ground for terrorism. This paper examines the relationship between corruption and terrorism in the long run. Previous studies examining the link between these two phenomena used only time series cointegration tests. In this paper, we make use of a dataset for a panel of 123 developed and developing countries over the period 2003-2014. We use Pedroni’s residual-based panel cointegration test and the error correction model-based panel cointegration test developed by Westerlund. In order to obtain more robust results, we use two different measures of corruption which are Corruption Perceptions Index (CPI) and Worldwide Control of Corruption Indicator (CC). The results of both tests reject the null hypothesis of no cointegration. we conclude that corruption and terrorism converge. Our findings corroborate results of previous studies.</p>

scholarly journals The Causality between Capital Formation and Economic Growth in MENA Region

2013 ◽  
Vol 8 ◽  
pp. 1-7 ◽  
Author(s):  
Mohsen Mehrara ◽  
Maysam Musai
Keyword(s):  
Economic Growth ◽  
North Africa ◽  
Panel Cointegration ◽  
Cointegration Analysis ◽  
Point Of View ◽  
Sustainable Growth ◽  
Domestic Investment ◽  
Mena Region ◽  
Long Run ◽  
Strong Causality

This paper investigates the causal relationship between gross domestic investment (INV) and GDP for Middle East and North Africa (MENA) region countries by using panel unit root tests and panel cointegration analysis for the period 1970-2010. The results show a strong causality from economic growth to investment in these countries. Yet, investment does not have any significant effects on GDP in short- and long-run. It means that it is the GDP that drives investment in mentioned countries, not vice versa. So the findings of this paper support the point of view that it is higher economic growth that leads to higher investment. According to the results, decision makings should be employed to achieve sustainable growth through higher productivity and substantially enlarging the economic base diversification in the future

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