Tourism as a Long-Run Economic Growth Factor: An Empirical Investigation for Greece Using Causality Analysis

2004 ◽  
Vol 10 (3) ◽  
pp. 305-316 ◽  
Author(s):  
Nikolaos Dritsakis
Keyword(s):  
Economic Growth ◽  
Growth Factor ◽  
Empirical Investigation ◽  
Causality Analysis ◽  
Long Run

Financial Development and Economic Growth in Asian Countries: A Panel Empirical Investigation

2020 ◽  
Vol 6 (2) ◽  
pp. 76
Author(s):  
Cher Chen ◽  
GholamReza Zandi Pour ◽  
Edwin R. de Los Reyes
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Quantitative Research ◽  
Empirical Investigation ◽  
Time Frame ◽  
Asian Countries ◽  
African Region ◽  
Dynamic Panel ◽  
Unit Root Testing ◽  
Long Run

This study aimed to evaluate the association of financial development and economic growth by considering the case of 10 Asian countries. The study used quantitative research design where the preliminary testing was conducted using descriptive statistics and unit root testing. The sample size comprised of 10 emerging Asian countries (India, China, Malaysia, Philippines, Pakistan, Thailand, Singapore, Bhutan, Vietnam, and Bangladesh) and the time-frame for the study was 1990 to 2018. The main techniques of analysis were Pedroni cointegration, dynamic panel least squares (DOLS) and Granger Causality. This study concluded that long-run equilibrium existed between financial development and economic growth. The research was limited to the case of Asian countries, therefore, in future, the evaluation of European countries can be conducted or African region can also be undertaken into consideration.

Exports, financial development and economic growth in Pakistan

2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Financial Development ◽  
Error Correction Model ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Causality Test ◽  
Correction Model ◽  
Content Type ◽  
Long Run

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.

scholarly journals Does Institutions Effect Growth in Pakistan? An Empirical investigation

2019 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Danish Ahmed Siddiqui ◽  
Qazi Masood Ahmed
Keyword(s):  
Economic Growth ◽  
Policy Implication ◽  
Empirical Investigation ◽  
Rent Seeking ◽  
Economic Aspects ◽  
Long Run ◽  
Social Technologies ◽  
Risk Reducing

This paper presents an index of institutionalized social technologies for Pakistan, covering its two main dimensions namely Risk reducing technologies and Anti Rent seeking technologies and in turn covers several social, institutional, political and economic aspects. It is also analyzed empirically whether the overall index as well as sub-indexes constructed to measure the single dimensions affects economic growth. The results show that over all, institutions promote growth in long run for Pakistan. Therefore, for a policy implication, success of any policy could be influenced by the soundness of institutions.

Development Growth Models for Singapore and Malaysia: A Geweke Causality Analysis

2015 ◽  
Vol 8 (2) ◽  
pp. 165-186 ◽  
Author(s):  
Tan Khee Giap ◽  
Nguyen Le Phuong Anh ◽  
Ye Ye Denise
Keyword(s):  
Economic Growth ◽  
Linear Dependence ◽  
Growth Models ◽  
Growth Dynamics ◽  
Gdp Growth ◽  
Multiple Time ◽  
Causality Analysis ◽  
Content Type ◽  
Real Gdp ◽  
Long Run

Purpose Nearly five decades after undergoing a structural transformation and navigating several external shocks, both Singapore and Malaysia are now grappling with some crucial policy challenges that necessitate a course-correction in order to sustain their growth momentum, going forward. In light of the renewed interest in understanding the growth constraints faced by the two countries, this paper aims to empirically explore the drivers of economic growth in both Singapore and Malaysia, using data from 1975 to 2012. Design/methodology/approach The paper employs a novel empirical approach-the Geweke causality analysis-to investigate the causal drivers of economic growth in Singapore and Malaysia. Intuitively, the Geweke causality analysis helps us understand and measure the linear dependence and feedback between multiple time series variables. To that effect, we perform both a bi-variate as well as a multi-variate causality analysis. Findings The empirical results established using Geweke causality analysis suggest that Malaysia's new development trajectory should lie in rebalancing the economy toward greater domestic demand and building a robust services sector. The results also suggest that Singapore, on the other hand, should embrace a growth model that goes beyond relying heavily on foreign direct investment (FDI) as a source of economic growth as the linear dependence between FDI and real GDP growth appears to be weaker compared to the linear dependence between the remaining variables and the real GDP growth. Originality/value While the traditional growth accounting framework provides useful insights at the aggregate level, there is a growing literature that discusses the importance of sectoral analysis to understand structural transformations in the economies which become important to sustain productivity growth in the long-run. This is immensely relevant in the case of Malaysia and Singapore, as well, especially with the changing policy focus in these countries to overcome structural growth issues. In light of this growing discussion on the importance of understanding the growth dynamics at the sectoral level, this paper presents new empirical evidence on the growth drivers in Singapore and Malaysia with a sectoral focus.

A CONTEMPORARY RE-EXAMINATION OF MALAYSIA’S ECONOMIC GROWTH: THE ISSUES OF EQUITY, EFFICIENCY AND LIBERALIZATION

2017 ◽  
Vol 62 (02) ◽  
pp. 509-530 ◽  
Author(s):  
AZFAR HILMI BAHARUDIN ◽  
YAP SU FEI
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Least Squares ◽  
Financial Development ◽  
Direct Investment ◽  
Positive Relationship ◽  
Empirical Investigation ◽  
Ordinary Least Squares ◽  
Statistical Relationship ◽  
Long Run

This paper is an empirical investigation on economic growth for Malaysia, with focus on income inequality, foreign direct investment (FDI), financial development and trade. Co-integrating regression procedures namely, fully modified ordinary least squares (FMOLS), canonical co-integrating regression (CCR) and dynamic ordinary least squares (DOLS) were employed. Positive relationship between growth with financial development and trade are found to be consistent across all estimations. Income inequality on the other hand though negative, does not seem to exhibit robust significant statistical relationship with growth. The orders of integration for variables used have been demonstrated to be governed such that a long-run relationship prevails.

scholarly journals Economic Growth And Carbon Emissions In South Africa: An Empirical Investigation

2011 ◽  
Vol 10 (7) ◽  
pp. 75 ◽  
Author(s):  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Output Growth ◽  
Bounds Testing ◽  
Conservation Policies ◽  
Long Run

In this paper we examine the causal relationship between CO2 emissions and economic growth in South Africa - using the newly developed ARDL-Bounds testing approach. We incorporate energy consumption in a bivariate causality setting between CO2 emissions and economic growth, thereby creating a simple trivariate model. Our empirical results show that there is a distinct unidirectional causal flow from economic growth to carbon emissions in South Africa. We also find that energy consumption Granger-causes both carbon emissions and economic growth. We recommend that energy conservation policies, as well as appropriate forms of renewable energy, should be explored in South Africa in order to enable the country to reduce its carbon emission footprint without necessarily sacrificing its output growth. The results apply irrespective of whether the causality is estimated in the short or in the long run.

scholarly journals How do Globalization, Technological Change and Employment Impact Economic Growth in Developing Countries? Evidence from Panel Data Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 39-49
Author(s):  
Fatima Saleem ◽  
Fatima Farooq ◽  
Imran Sharif Chaudhry ◽  
Noreen Safdar
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
The Impact

This study aims at exploring the impact of globalization, technology and employment on economic growth of developing economies. This study also observed the long-run, short-run and causality relationships between globalization, technological innovations, employment, and economic growth for 20 selected developing countries covering the data for period of 1991 to 2017.  Since stationary of variables is examined through ADF tests, Levin-Lin-Chu test, and IM-Pesaran-Shin test and resulted with mixed order of integration, Panel ARDL estimation techniques are employed to measure the long run effects of these variables on growth of selected economies. Dumitrescu-Hurlin panel Granger Causality test was applied for causality analysis. All variables have strong positive and significant relationship with growth. This study concluded that knowledge and research-based education have a key role in promoting long-run growth as evident from the ‘New growth theory’ of Romer. On the basis of these results, it is suggested that knowledge and research-based education should be promoted and export-oriented policies should also be encouraged to attain benefits of trade openness and globalization for accelerating economic growth on sustainable basis.

scholarly journals Impact of Economic Reforms, FDI and Imports on GDP: Trends and Regression Analysis

2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Economic Reforms ◽  
Chinese Economy ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Integration Test

The aim of this study is to explore the causal relationship between the exports, imports and economic growth of Chinese economy using time series data running from 1978 to 2016.Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM) has been used in order to test the hypotheses about the presence of causality and co integration among the variables. The co integration test confirmed that exports, imports and GDP are co integrated, indicating an existence of long run equilibrium relationship among the variables and also confirmed by the Johansen co integration test results. The Granger causality test finally confirmed the presence of bi-directional causality between exports, imports and GDP. The study further shows that relative share of china’s exports in world exports has increased significantly after the introduction of economic reforms. Further, the rising exports have also made a significant contribution to the economic growth of Chinese economy due to forward and backward linkages.

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