Analysing Association in Environmental Pollution, Tourism and Economic Growth: Empirical Evidence from the Commonwealth of Independent States

2021 ◽  
pp. 002190962110588
Author(s):  
Saqib Khan ◽  
Muhammad Azam ◽  
Ilhan Ozturk ◽  
Sardar Fawad Saleem
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Environmental Pollution ◽  
Fixed Effects ◽  
Random Effect ◽  
Environmental Damage ◽  
Causality Test ◽  
Commonwealth Of Independent States ◽  
Empirical Estimates ◽  
Independent States

Clean and green environment along with sustainable development is the prime objective of every state. We explore empirically the nexus between tourism, environmental pollution measured by carbon (CO2) emissions, population, trade, foreign direct investment (FDI) and economic growth in six countries from the Commonwealth of Independent States over 1995–2018. Traditional panel estimation technique is employed, where the Hausman test suggests fixed-effects over random effect estimator. We also employed the robust least squares (RLS) estimator to confirm the empirical estimates. Results show that a 1% increase in CO2 will attenuate the economic growth by 0.14% and that 1% raise in the tourism activities can boost growth by 0.04%. Both the fixed-effect and RLS estimates reveal that tourism, population growth and trade contribute significantly to economic growth, whereas CO2 adversely affect growth. The Granger causality test shows a two-way causality between economic growth and CO2 and between growth and trade. Empirical results also indicate a one-way causality between growth and FDI, population and FDI, population and CO2 along with population growth and tourism. These findings suggest that adopting effective policies that can expand trade, enhance FDI and promote the tourism sector with minimum environmental damage will ultimately accelerate sustainable economic development.

scholarly journals Decentralization and Its Impact on Growth in India

2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Fixed Effects ◽  
Capital Expenditure ◽  
Per Capita Income ◽  
Reverse Causality ◽  
Social Expenditure ◽  
Causality Test ◽  
Per Capita ◽  
National Growth

We study the effect of revenue decentralization (RD) and expenditure decentralization (ED) on sub-national growth in India from 1981–1982 to 2015–2016 for 14 large (non-special-category) states. Our study provides evidence that both RD and ED play a defining role in India’s sub-national growth in this three-and-a-half-decade period. We use a panel data model with fixed effects (FE) and Driscoll and Kraay standard errors that control for heteroscedasticity, autocorrelation and cross-sectional dependence. To test for causality between growth and decentralization, we use the Granger non-causality test. The regression analysis is supplemented with the distribution dynamics approach. We find that: (a) While decentralization Granger-caused economic growth, the reverse causality effect of growth on decentralization was not significant; (b) Economic growth increased significantly after liberalization; (c) Decentralization, capital expenditure and social expenditure had significant positive impacts on economic growth; and (d) States that had high levels of decentralization also had high levels of per capita income, while states that had low decentralization also exhibited low per capita income.

scholarly journals ANALYSIS OF THE RELATIONSHIP BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN THE COMMONWEALTH OF INDEPENDENT STATES

2020 ◽  
Vol 10 (4) ◽  
pp. 318-324
Author(s):  
Aziza Syzdykova ◽  
Gulmira Azretbergenova ◽  
Khairulla Massadikov ◽  
Aigul Kalymbetova ◽  
Darkhan Sultanov
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Commonwealth Of Independent States ◽  
Independent States ◽  
The Relationship

scholarly journals PERTUMBUHAN PENDUDUK, INFLASI DAN KORUPSI: ANALISIS EMPIRIS ENVIRONMENTAL KUZNETS CURVE (EKC) DI KAWASAN ASEAN PERIODE 2002-2016

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Secondary Data ◽  
Gdp Per Capita ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.

scholarly journals Causality of Economic Growth and Openness in ASEAN-5

2019 ◽  
Vol 4 (1) ◽  
pp. 01-09
Author(s):  
Yarlina Yacoub ◽  
Nindya Lestari
Keyword(s):  
Economic Growth ◽  
International Trade ◽  
Granger Causality ◽  
Random Effect ◽  
The Philippines ◽  
Jel Classification ◽  
Global Market ◽  
Panel Regression ◽  
Causality Test ◽  
The Relationship

Objective - This study aims to determine the relationship between FDI and trade and its effect on economic growth in ASEAN-5 countries using the Engel-Granger causality method. Methodology/Technique - The study uses OLS panel regression analysis to identify the relationship between the variables in each country. The results of the Engel-Granger causality test indicate that there is a two-way relationship between economic growth and FDI, and economic growth and international trade. Findings - When tested together through panel regression, it is concluded that the best model is a random effect method (REM) in which FDI and international trade significantly influence economic growth in the same direction. However, the relationship between FDI and international trade and its effect on economic growth in Indonesia, the Philippines and Thailand was negative, whilst in Malaysia and Singapore the relationship has a directional trend. Novelty - To reinforce the FDI inflows, authorities should continue the progressive reduction of barriers, and increase the sophistication of quality exports to compete in the global market. This paper is the first of its kind to analyze the role of both FDI and exports in the ASEAN5 economies using panel analysis. Type of Paper: Empirical. Keywords: Economic Growth; FDI; Openness; Engle-Granger Causality. JEL Classification: F02, F10, F41. DOI: https://doi.org/10.35609/jber.2019.4.1(1)

scholarly journals DYNAMICS OF EXPORTS, INFRASTRUCTURE, AND GROWTH IN GCC: VARS AND CAUSALITY TESTING

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Sufian Eltayeb Mohamed
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Financial Institution ◽  
Random Effect ◽  
Random Effect Model ◽  
Panel Cointegration ◽  
Least Square ◽  
Public Expenditures ◽  
Long Run ◽  
Cointegration Tests

The paper is concerned with analyzing the dynamic effects of exports and infrastructure on GCC economic growth. Panel cointegration methodology is used to test for the existence of a long relationship between the variable. Two tests, Kao (1999) and Johansen cointegration tests are applied to check for cointegration. The results of the two tests reveal that there exists a long run co-integrating relationship between export and infrastructure proxies and economic growth in GCC countries. Additionally, fully modified least square (FMOLS) and dynamic ordinary least square (DOLS) were used to test the magnitude of the long relationship among variables. The results show that export and infrastructure variables are positive and have significant impact on the long run growth of the GCC economy. Further, fixed –effects method is selected as random effect model is rejected based on Hausman test result. The results of fixed effect show that export and infrastructure variables ate positive and statistically significant. With regard to policy, variable mixed results were obtained. As a policy recommendation the study, suggest that proper absorptive capacity such as deep financial institution, good infrastructure quality and supplementing public expenditures should be met in order to maximize the benefits of exports. JEL: C33; O11; F10; O19; O47 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0875/a.php" alt="Hit counter" /></p>

Financial inclusion and economic growth linkage: some cross country evidence

2018 ◽  
Vol 10 (3) ◽  
pp. 369-385 ◽  
Author(s):  
Dinabandhu Sethi ◽  
Debashis Acharya
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Panel Cointegration ◽  
Fixed Effect ◽  
Financial Inclusion ◽  
Causality Test ◽  
Panel Causality ◽  
Content Type ◽  
Long Run ◽  
The World

Purpose The purpose of this paper is to assess the dynamic impact of financial inclusion on economic growth for a large number of developed and developing countries. Design/methodology/approach This study uses some panel data models such as country-fixed effect, random effect and time fixed effect regressions, panel cointegration, and panel causality tests to examine the linkage between financial inclusion and economic growth. Panel cointegration is being used to test the long run association between financial inclusion and economic growth, whereas panel causality test is used to find the direction of causality between financial inclusion and economic growth. The data on financial inclusion are taken from Sarma (2012) for the period 2004-2010. Findings The empirical findings reveal that there is a positive and long run relationship between financial inclusion and economic growth across 31 countries in the world. Further, panel causality test shows a bi-directional causality between financial inclusion and economic growth Thus, the study confirms that financial inclusion is one of the main drivers of economic growth. Research limitations/implications This study has two limitations. First, this study considers only banking institutions in the analysis. Second, the period tested for the long run relationship is not long enough. Practical implications This study empirically measures the quantitative impact of financial inclusion policies pursued across the world. The study also suggests that policies emphasizing financial sector reforms in general and promoting financial inclusion in particular shall result in higher economic growth in the long run. Originality/value This study attempts to assess the long run relationship between financial inclusion and economic growth with the help of a multidimensional index of financial inclusion. Therefore, this can be a valuable contribution to the banks and policymakers.

Exploring the Relationship between Industrial Economic Growth and Environmental Pollution - An Empirical Analysis Based on Cointegration and Granger Causality Test

2013 ◽  
Vol 423-426 ◽  
pp. 1377-1382
Author(s):  
Chao Wang ◽  
Jiang Liu ◽  
Li Huang ◽  
Wei Li
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Industrial Emissions ◽  
Causality Test ◽  
Pollution Emission ◽  
The Relationship ◽  
Cointegration Relationship ◽  
Industrial Economic

This paper aims at investigating the cointegration relationship between industrial economic growth and environmental pollutions from the timing dimension by using three types of environmental pollution indicators of industrial emissions and going further to test whether this relationship is bidirectional Granger causality. Firstly, the cointegration analysis’ result shows that the relationship between industrial economic growth and environmental quality may not meet the hypothesis of EKC curve. In the timing period analyzed, the relationship is linear and positive. Hence, promoting the relationship to be negative when only relying on self-regulation of the market will probably not be achieved. Secondly, based on cointegration test, this paper goes further to conduct Granger causality test of cointegration relationship. The result shows industrial economic growth causes pollution emission but it is not true vice versa. The reasons possibly include that that the technological progress in recent years may not embody on the reduction of pollution emission intensity, the absence of resources product market, the lack of tradable emission permits market and no effective incentives of green production behaviors of enterprises to react up on encouraging enterprises’ development. These generate external pressure to the transformation of industrial economic growth pattern.

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