THE NEXUS AMONG TOURISM, URBANISATION AND CO2 EMISSIONS IN SOUTH ASIA: A PANEL ANALYSIS

2021 ◽  
Vol 27 (1) ◽  
pp. 63-82
Author(s):  
Sakib Bin Amin ◽  
Mahnaz Aftabi Atique
Keyword(s):  
South Asia ◽  
Co2 Emissions ◽  
Panel Data Analysis ◽  
Panel Cointegration ◽  
Annual Data ◽  
Causality Test ◽  
Environmentally Sustainable ◽  
Long Run ◽  
Cointegration Tests ◽  
Determinants Of Economic Growth

Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way.

scholarly journals The nexus between external debt, corruption and economic growth: evidence from five SSA countries

2018 ◽  
Vol 9 (3) ◽  
pp. 319-334 ◽  
Author(s):  
Waliu Olawale Shittu ◽  
Sallahuddin Hassan ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
External Debt ◽  
Negative Relationship ◽  
Panel Cointegration ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Cointegration Tests ◽  
The Impact ◽  
Ssa Countries

Purpose The purpose of this paper is to examine the impact of external debt and corruption on economic growth in the selected five Sub-Saharan African (SSA) countries, from 1990 to 2015. Design/methodology/approach Panel unit root and panel cointegration tests are employed to test for stationarity of the series and the long-run relationship, respectively. Fully modified OLS and dynamic OLS techniques are also employed to examine the long-run coefficients of the variables of the model, as well as panel Granger causality test, in order to examine the direction of causality among the variables. Findings The results indicate that there is a negative relationship between external debt and economic growth, as well as a bi-directional causality between the two variables. The findings also indicate a positive relationship between corruption and economic growth, as well as a uni-directional causality running from economic growth through corruption. Research limitations/implications The study recommends that the governments of the selected countries should address the menace of rising external debt through the adoption of other sources of capital for investment. Such include more openness of the economy for more capital, by easing restrictions on genuine imports and exports of valuable goods and services. It also suggests that the issue of corruption be tackled head-on, by such penalties that tend to make corruption less attractive. Originality/value While the relationship between economic growth and external debt, on the one hand, and corruption and economic growth, on the other hand, have received considerable attentions, the trio of external debt, corruption and economic growth have not been found combined in a model, to the best of the authors’ knowledge. Also, the countries under consideration, who jointly account for about 47 percent of the entire SSA countries’ stock of external debt, have not been jointly found in any recent panel studies involving the selected variables.

scholarly journals Urban population and economic growth: South Asia perspective

2016 ◽  
Vol 5 (1) ◽  
pp. 64 ◽  
Author(s):  
Sandip Sarker ◽  
Arifuzzaman Khan ◽  
Mehdad Mamur Mannan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
South Asia ◽  
Urban Population ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Unit Root Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Determinants Of Economic Growth

Previously economic growth was generally discussed in terms of foreign direct investment (FDI), educational growth, savings, investments, inflation as well as trade openness of a nation. Very recently it has been identified that population is one of the major determinants of economic growth of a nation. In the recent years, the study of urbanization has gained a matter of concern in developing countries as it has been recognized as part of a larger process of economic development which is affecting developing countries. South Asian countries are one of the emerging economics and growing at a faster rate over the past few years. At the same time, population of South Asia is growing at a significant rate. Therefore the study has attempted to identify the causal relationship between urban population and economic growth in South Asia using a panel data analysis. The study makes use of the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP), Pesaran as well as Fisher methods for panel unit root test. The panel Pedroni cointegration test suggests that there is long run relationship between the variables. The further panel Vector Error Correction Model (VECM) suggests that there is long run causality running from urban population growth to economic growth in South Asia. The study concludes that the growth of urban population can have significant impact on economic growth in South Asia in the long run.

scholarly journals The Relationship between Corruption, Innovation and Economic Growth: Empirical Evidence from OECD Countries

2021 ◽  
Author(s):  
Fatma Ünlü
Keyword(s):  
Economic Growth ◽  
Growth Process ◽  
Panel Data Analysis ◽  
Panel Cointegration ◽  
Long Run ◽  
Cointegration Tests ◽  
Corruption Index ◽  
Innovation Capacity ◽  
Using Data ◽  
The Relationship

The phenomenon of corruption which has significant effects on the economic growth process and innovation capacity of countries is one of the frequently discussed topics especially in the economics literature in recent years. From this point, the purpose of this study is to contribute to determining the relationship between corruption, innovation, and economic growth. To achieve this purpose, panel data analysis is carried out using data from a total of 37 OECD members for the period 2007-2019. In this context, firstly unit root tests are performed, and then panel cointegration tests are employed to determine the long-term relationship between the variables. Long-run coefficients are estimated by using FMOLS and DOLS methods. The findings obtained from the analysis show that there is a cointegration relationship between corruption, innovation, and economic growth. Accordingly, corruption and innovation have a positive and significant impact on economic growth. In addition, the rise in the corruption index has a positive and significant effect on innovation. In other words, the increase in the corruption index (decrease in the perception of corruption) contributes positively to both innovation and economic growth process in the related countries.

scholarly journals Panel Cointegration and Pooled Mean Group Estimations of Energy-Output Dynamics in South Asia

2012 ◽  
Vol 4 (5) ◽  
pp. 277-286 ◽  
Author(s):  
Anupam Das ◽  
Muhammad Akhtaruzzaman .
Keyword(s):  
Energy Consumption ◽  
South Asia ◽  
South Asian ◽  
Specific Effect ◽  
Panel Cointegration ◽  
Energy Output ◽  
Asian Countries ◽  
Pooled Mean Group ◽  
Long Run ◽  
Cointegration Tests

This study employs the panel cointegration and pooled mean group (PMG) techniques to examine the long run relationships between energy consumption and GDP for 5 South Asian countries from 1981 to 2009. Unit root and panel cointegration tests find a long run relationship between energy consumption and GDP after allowing for country-specific effect. Furthermore, we use the PMG technique to identify the magnitude of this relationship. Our results are consistent with the theory that suggests a role of energy use in GDP. On average, a 1% increase in energy consumption leads to a 0.61% increase in the long run GDP in South Asia from 1981 to 2009. Hence, it is apparent that energy is an important component to maintain the economic activities in these countries. These results have important implications for policy makers of South Asian countries which have experienced magnificent growth performance along with a sharp rise in consumption demand for energy in last few decades.

scholarly journals Panel Cointegration Analysis of Military Expenditure and Economic Growth in the Selected Balkan Countries

2021 ◽  
Vol 59 (3) ◽  
pp. 375-390
Author(s):  
Branimir Kalaš ◽  
Vera Mirović ◽  
Nada Milenković
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Military Expenditure ◽  
Cointegration Analysis ◽  
Causality Test ◽  
Long Run ◽  
Balkan Countries ◽  
Economic Trends

Abstract The issue of security and safety i s a fundamental condition for stable economic trends. Military expenditure can be a very powerful tool for a rapid economic growth. The paper examines the long-run relationship between military expenditure and economic growth in the selected Balkan countries, such as Albania, Bosnia and Herzegovina, Croatia, Montenegro, North Macedonia, Serbia and Slovenia for the period 2004-2018. The analysis implies a panel unit root test, a panel cointegration test, as well as a panel Granger causality test. The results have identified a long-run relationship between military expenditure and economic growth in the Balkan countries based on panel data analysis. Also, empirical findings have confirmed that shock experience in one of the countries’ military expenditure and economic growth have effect on other countries. Finally, the results have determined unidirectional causality from military expenditure to economic growth in these countries and not vice versa.

scholarly journals FDI and Economic Growth in EU13 Countries: Cointegration and Causality Tests

2020 ◽  
Vol 12 (3) ◽  
pp. 47-63
Author(s):  
Vlatka Bilas ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
European Union ◽  
Annual Data ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
Causality Tests ◽  
The Relationship

Foreign direct investments are seen as a prerequisite for gaining and maintaining competitiveness. The research objective of this study is to examine the relationship between foreign direct investment (FDI) and economic growth in “new” European Union member countries using various unit root, cointegration, as well as causality tests. The paper employs annual data for FDI and gross domestic product (GDP) from 2002 to 2018 for the 13 most recent members of European Union (EU13): Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia. An estimated panel ARDL (PMG) model found evidence that there is a long-run equilibrium between the LogGDP, LogFDI and LogFDIP series, with the rate of adjustment back to equilibrium between 3.27% and 20.67%. In the case of the LogFDI series, long-run coefficients are highly statistically significant in all four models, varying between 0.0828 and 0.3019. These coefficients indicate that a 1% increase in LogFDI increases LogGDP between 0.0828% and 0.3019%. Results of a Dumitrescu-Hurlin panel causality test indicated that a relationship between the GDP growth rate and FDI growth rate is only indirect. Finally, only weak evidence was shown that FDI had a statistically significant impact on GDP in the EU13 countries over the period 2002-2018. This report of findings contributes to the literature concerning FDI and economic growth, namely regarding the current understanding of the relationship between these two factors.

scholarly journals COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

scholarly journals The Causal Relationship between Inflation and Unemployment: A Panel Cointegration and Causality Analysis

2014 ◽  
Author(s):  
Ekrem Gül ◽  
Ahmet Kamacı ◽  
Serkan Konya
Keyword(s):  
Phillips Curve ◽  
Causal Relation ◽  
Panel Data Analysis ◽  
Consumer Price Index ◽  
Panel Cointegration ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Causality ◽  
Unemployment Rates ◽  
The Difference

Central Asian Republics have been facing high unemployment rates and inflation problems since they established. This work is based on the Phillips curve, which deals the opposite relationship between inflation and unemployment. In the article, unemployment rates and Consumer Price Index (CPI) are used. Within this work, the relationship between inflation and unemployment is examined by the panel data analysis for Azerbaijan, Kazakhstan, Kyrgyzstan, Macedonia and Turkey (1996-2012).We acquired the data of this work from the web site of the IMF. Panel Unit Root Tests are used in order to test stagnation of the data. Afterwards Cointegration Test and Panel Causality Test are used. After that panel cointegration and panel causality tests were made to learn if a cointegral relationship was occurred between inflation and unemployment rate or not. As a result of this study we done, the data level is not stable. Because of that reason, we took the difference of them. There is a one-sided causal relation from inflation to unemployment rates in Turkey and other countries.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

The relationship between foreign aid and corruption: a case of selected Asian countries

2019 ◽  
Vol 26 (3) ◽  
pp. 692-704
Author(s):  
Muhammad Ali ◽  
Lubna Khan ◽  
Amna Sohail ◽  
Chin Hong Puah
Keyword(s):  
Least Squares ◽  
Foreign Aid ◽  
Negative Impact ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Foreign Assistance ◽  
Asian Countries ◽  
Causality Test ◽  
Content Type ◽  
Long Run

Purpose The purpose of this study is to examine the effect of foreign aid (FA) on corruption in selected Asian countries (Pakistan, India, Srilanka and Bangladesh) using the panel data from 2000 to 2014. Design/methodology/approach The author used Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests to check the stationary properties of the variables. The Pedroni’s and Kao panel cointegration approach was applied to analyze the variable’s long-run relationship. The author used panel dynamic ordinary least squares (PDOLS) and fully modified ordinary least squares (FMOLS) framework to estimate the coefficients of cointegrating vectors. Additionally, the panel granger causality test was performed to check the causal relationship between the variables. Findings The results from PDOLS and FMOLS indicate that FA has a significant negative impact on the level of corruption. This infers that the foreign assistance decrease the level of corruption perception index, hence, more corruption in the country. Originality/value Overall, the study fulfills the need to understand the aid-corruption nexus, particularly in the case of the Asian region.

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