scholarly journals MULTIVARIATE GRANGER CAUSALITY BETWEEN CO2 EMISSIONS, ENERGY INTENSITY AND ECONOMIC GROWTH IN PORTUGAL: EVIDENCE FROM COINTEGRATION AND CAUSALITY ANALYSIS

2015 ◽  
Vol 22 (1) ◽  
pp. 47-74 ◽  
Author(s):  
Muhammad SHAHBAZ ◽  
Farooq Ahmed JAM ◽  
Sadia BIBI ◽  
Nanthakumar LOGANATHAN

The present study aims to investigate the relationship between economic growth, energy intensity and CO2 emissions by incorporating financial development in CO2 emissions function using Portuguese annual data over the period of 1971–2011. The unit root problem of variables is examined by applying Zivot-Andrews unit root test and the ARDL bounds testing approach is for long run relationship. The direction of causal relationship between the series is examined by the VECM Granger causality approach and robustness of causality analysis is tested by innovative accounting approach (IAA). Our empirical evidence confirmed that the variables are cointegrated for long run relationship. The results exposed that economic growth and energy intensity increase CO2 emissions, while financial development condenses it. The VECM Granger causality analysis showed the feedback effect between energy intensity and CO2 emissions, while economic growth and financial development Granger cause CO2 emissions. The study suggests that environment degradation can be controlled by using energy efficient technologies. Financial development can also play its role in improving the environmental quality by encouraging investment in energy efficient technology to enhance domestic production and save the environment from degradation.

Author(s):  
Lv ◽  
Chu ◽  
McAleer ◽  
Wong

Most authors apply the Granger causality-VECM (vector error correction model), and Toda–Yamamoto procedures to investigate the relationships among fossil fuel consumption, CO2 emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the variables. In order to circumvent the limitations and bridge the gap in the literature, this paper combines cointegration and linear and nonlinear Granger causality in multivariate settings to investigate the long-run equilibrium, short-run impact, and dynamic causality relationships among economic growth, CO2 emissions, and fossil fuel consumption in China from 1965–2016. Using the combination of the newly developed econometric techniques, we obtain many novel empirical findings that are useful for policy makers. For example, cointegration and causality analysis imply that increasing CO2 emissions not only leads to immediate economic growth, but also future economic growth, both linearly and nonlinearly. In addition, the findings from cointegration and causality analysis in multivariate settings do not support the argument that reducing CO2 emissions and/or fossil fuel consumption does not lead to a slowdown in economic growth in China. The novel empirical findings are useful for policy makers in relation to fossil fuel consumption, CO2 emissions, and economic growth. Using the novel findings, governments can make better decisions regarding energy conservation and emission reductions policies without undermining the pace of economic growth in the long run.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2019 ◽  
Vol 12 (3) ◽  
pp. 145 ◽  
Author(s):  
Vo ◽  
Vo ◽  
Le

The members of the Association of Southeast Asian Nations (ASEAN) have made several attempts to adopt renewable energy targets given the economic, energy-related, environmental challenges faced by the governments, policy makers, and stakeholders. However, previous studies have focused limited attention on the role of renewable energy when testing the dynamic link between CO2 emissions, energy consumption and renewable energy consumption. As such, this study is conducted to test a common hypothesis regarding a long-run environmental Kuznets curve (EKC). The paper also investigates the causal link between carbon dioxide (CO2) emissions, energy consumption, renewable energy, population growth, and economic growth for countries in the region. Using various time-series econometrics approaches, our analysis covers five ASEAN members (including Indonesia, Myanmar, Malaysia, the Philippines, and Thailand) for the 1971–2014 period where required data are available. Our results reveal no long-run relationship among the variables of interest in the Philippines and Thailand, but a relationship does exist in Indonesia, Myanmar, and Malaysia. The EKC hypothesis is observed in Myanmar but not in Indonesia and Malaysia. Also, Granger causality among these important variables varies considerably across the selected countries. No Granger causality among carbon emissions, energy consumption, and renewable energy consumption is reported in Malaysia, the Philippines, and Thailand. Indonesia experiences a unidirectional causal effect from economic growth to renewable energy consumption in both short and long run and from economic growth to CO2 emissions and energy consumption. Interestingly, only Myanmar has a unidirectional effect from GDP growth, energy consumption, and population to the adoption of renewable energy. Policy implications have emerged based on the findings achieved from this study for each country in the ASEAN region.


2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

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.


2018 ◽  
Vol 29 (2) ◽  
pp. 368-384 ◽  
Author(s):  
Javaid Ahmad Dar ◽  
Mohammad Asif

Purpose The purpose of this paper is to investigate the long-run effect of financial sector development, energy use and economic growth on carbon emissions for Turkey, in presence of possible regime shifts over a period of 1960-2013. Design/methodology/approach Along with the conventional unit root tests, Zivot-Andrews unit root test with structural break has been employed to check the stationarity of variables. The cointegrating relationship between variables is investigated by using the autoregressive distributed lag bounds test and Hatemi-J threshold cointegration test. Findings The results confirm a cointegrating relationship between the variables. The long-run relationship between the variables has gone through two endogenous structural breaks in 1976 and 1986. Development of financial sector improves environmental quality whereas energy use and economic growth degrade it. The results challenge the validity of environmental Kuznets curve hypothesis in Turkish economy. Research limitations/implications The study uses domestic credit to private sector as a proxy for development of financial sector. The model can be improved by constructing an index of financial development instead of using a single determinant as a proxy for financial development. Practical implications The study may pave the way for policy makers to capture important environmental pollutants in better way and develop effective and efficient energy and economic policies. This may make significant contribution to curbing CO2 emissions while sustaining economic growth. Originality/value This is the only study to examine long-run impact of financial sector development on carbon emissions, using the threshold cointegration approach. Hence, the study is a gentle request to reduce the possible omitted variable econometric estimation bias and fill the gap in the existing literature.


2020 ◽  
Vol 3 (4) ◽  
pp. 29-47
Author(s):  
Lamia Jamel

This paper examines empirically the relation between tourism and economic growth in Saudi Arabia. The authors try to justify how tourism contributes to the economic growth of Saudi Arabia. There are applied descriptive statistics, unit root test, VAR model and Granger Causality test as an econometric methodology to examine the connection between tourism and economic growth in Saudi Arabia for the annual data in the period from 1990 to 2018. The main empirical results of the study find out that tourism affects positively the economic growth in Saudi Arabia. Also, there is found a positive nexus among tourism and economic growth. Furthermore, CO2 emissions and financial development impact positively the tourism sector, while trade openness predicts a negative effect on tourism. Additionally, CO2 emissions, financial development, and trade openness have a positive impact on economic growth in Saudi Arabia. Finally, the Granger causality test provides evidence of bidirectional nexus between tourism and economic growth in Saudi Arabia. This paper contributes to the current research by explaining the causal nexus among tourism and economic growth in Saudi Arabia during the period from 1990 to 2018, applying a vector autoregressive model and Granger Causality.


2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni

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.


2018 ◽  
Vol 45 (8) ◽  
pp. 1236-1249 ◽  
Author(s):  
Abdalla Sirag ◽  
Samira SidAhmed ◽  
Hamisu Sadi Ali

Purpose The effect of foreign direct investment (FDI) on economic growth is widely believed to be contingent on the development of the financial sector. Nevertheless, as the possibility that the effect of financial development on growth being contingent on FDI has been neglected in existing literature, the authors have investigated it in this paper. In general, the purpose of this paper is to examine the effect of financial development and FDI on economic growth in Sudan using annual data from 1970 to 2014. Design/methodology/approach Since most of the macroeconomic variables are subject to unit root problem, the time series data are assessed using unit root and cointegration tests with/without structural break. Moreover, the study uses the fully modified ordinary least squares and the dynamic ordinary least squares techniques to estimate the long-run model. Findings The results of the cointegration tests provide evidence that a long-run relationship exists among variables even after accounting for the structural break. The results show that financial development and FDI are positive and significant in explaining economic growth in Sudan. Financial development is found to be more beneficial to economic growth than FDI. Moreover, the findings reveal that FDI leads to better economic performance through financial development. Interestingly, the findings of the study show that the effect of financial development on economic growth is further enhanced by the inflows of FDI. Research limitations/implications The government should focus on promoting FDI in more productive sectors. In addition, further cooperation with multinational enterprises is needed to increase FDI in the country. Originality/value This is the first paper that empirically examines both the interlinked impact of FDI on growth through financial development and the impact of financial development on economic growth through FDI in Sudan using appropriate econometric methods.


Author(s):  
Sana Essaber Jouini ◽  
Etidel Labidi

This paper examines the long run and causal relationship issues between economic growth, energy consumption and carbon emissions by using vector error correction model for the case of Tunisia within 1970-2010. Empirical results using time series data suggest an evidence of a long-run relationship between the variables at 5% significance level in Tunisia. A Granger causality analysis is conducted amongst the variables. The overall results indicate bidirectional causality between energy consumption and CO2 emissions and a unidirectional causality running from pollutant emissions to economic growth. But there is no direct relation between energy consumption and economic growth. Thus, our results reveal that in short term energy conservation policies, such as rationing energy consumption have no effect on the real output growth of Tunisia.


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