Intertemporal change in the effect of economic growth on carbon emission in China

2021 ◽  
pp. 0958305X2110086
Author(s):  
Jingwen Zhang ◽  
Yin Dai ◽  
Chi-Wei Su ◽  
Dervis Kirikkaleli ◽  
Muhammad Umar

This research examines the factor of causality between the variables of economic growth and carbon emissions in China, by conducting full, and sub-sample Granger causality tests for the period of 1965 to 2019. The full-sample Granger causality test is not considered to be authentic, and is rather unstable, as indicated by the parameter stability tests. Therefore, we consider the time variation using a causality test, and the results indicate that the causality exists from the Gross Domestic Product (GDP) growth to the Carbon Dioxide (CO2) emissions. This development essentially suggests that economic growth is critical for China's environment. It also implies that carbon emissions are mainly determined by the increase in economic growth, at some specific period in time. Thus, in this regard, the use of renewable energy sources should be encouraged by policymakers, in order to deal with rise in the energy demand, and promote industrial upgrading, so as to slow down the rate degradation that the environment have been experiencing. However, our empirical results indicate that CO2 emissions are not the Granger reason to GDP. In this case, the government can formulate more conservative reduction policies that pertain to carbon emissions, and will therefore, not impede the economic growth.

2020 ◽  
Vol 7 (54) ◽  
pp. 205-217
Author(s):  
Mnaku Honest Maganya

AbstractTanzania, like most other developing countries, faces numerous economic challenges in striving to achieve sustainable economic growth and development through taxation. In the literature, the debate on how effective taxes are as a tool for promoting economic growth and economic development remains inconclusive, as various research have reported mixed effects of tax on economic growth. This article investigates the effect of taxation on economic growth in Tanzania using the recently developed technique of autoregressive distributed lag model (ARDL) bounds testing procedure for the period from 1996 to 2019. Various preliminary tests were conducted including stationary tests as well as the pair-wise Granger causality test. According to the results obtained, domestic goods and services (TGS) taxes are positively related to GDP growth and are statistically significant at 1% level. Income taxes, on the other hand, were found to be negatively related to GDP growth and to be statistically significant at 5% level. The pair-wise Granger causality results indicated that there is bidirectional Granger causality between TGS and GDP growth at 1 % significance level. The government should aim at growing, nurturing and sustaining tax base to positively drive economic growth even further.


2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.


2017 ◽  
Vol 36 (3) ◽  
pp. 450-463 ◽  
Author(s):  
Feng-Li Lin ◽  
Roula Inglesi-Lotz ◽  
Tsangyao Chang

This study revisits coal consumption, CO2 emissions and economic growth nexus for both China and India using a newly developed Bootstrap ARDL model over the period of 1969–2015. Empirical results indicate no long-run relationship among these three variables for both China and India, and Granger causality test based on Bootstrap ARDL model indicates a feedback between coal consumption and economic growth, between economic growth and CO2 emissions and between coal consumption and CO2 emissions in China. However, we find a one-way Granger causality running from coal consumption to economic growth and the feedback hypothesis is confirmed between economic growth and CO2 emissions and between coal consumption and CO2 emissions in India. The coefficients signal that coal consumption is an important factor towards the promotion economic growth in both China and India. For China, higher economic growth reduces CO2 emissions, while for India, it further increases CO2 emissions. Our empirical results have important policy implications for the government conducting effective energy polices to promote economic growth in both China and India.


2018 ◽  
Vol 06 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Mou WANG

This paper empirically examines the relationship between carbon emissions and economic growth by applying the co-integration analysis and Granger causality test to the time series data of carbon emissions and gross domestic product (GDP) of the world’s top 20 emitters from 1990 to 2015. Co-integration analysis shows that there is a long-term equilibrium relationship between carbon emissions and economic growth in most countries; Granger causality test verifies a one-way causal link between carbon emissions and economic growth in most major emitters. In developed countries, economic growth is the Granger cause of carbon emissions, while the opposite is true in developing countries. The results reflect different characteristics regarding carbon emission reduction in developed and developing countries as they are at different developing stages. Carbon emission reduction exerts much greater adverse effects on the economic growth of developing countries than it does on that of developed countries. Based on the results of the Granger causal analysis, it is found that the requirements for developing countries to substantially reduce emissions are not in line with the characteristics in their current developing stage and therefore may pose obstructions. Developed countries should take the lead in carrying out emission reductions due to their accountability for historical emissions as well as their development stages and capabilities. In addition, they should aid developing countries in their efforts for transforming and upgrading development and reducing dependence of economic growth on carbon emissions. International climate governance should take into account the needs and characteristics of different countries for future development, and build a mechanism for international cooperation to achieve synergy between social economic development and global climate governance.


2018 ◽  
Vol 10 (4) ◽  
pp. 123
Author(s):  
Amira Akl Ahmed

The bootstrap approach to Toda-Yamamoto (1995) modified causality test is applied in a rolling window of fixed size onto Egyptian data during 1960-2016 to examine time-varying links between economic growth (EG) and bank-based financial development (BBFD). Full sample results indicated the existence of unidirectional causality running from BBFD to EG, however; instability tests revealed the presence of structural breaks. Given the misleading inferences made using the full sample, the rolling window procedure is applied. Bidirectional time-varying causality between EG and BBFD was detected. Reasons behind declining the fraction of credit provided to private business sector to GDP in recent years include, mainly, credit crunch and expansion of credit to the government and partially to economic slowdown. Adoption of fiscal reforms and promotion of innovative financial tools suitable for the needs of small and medium-sized enterprises is highly recommended to enhance the role of banking system in promoting economic growth.


Author(s):  
Chor Foon Tang ◽  
Eu Chye Tan

This paper explored whether the tourism-led growth (TLG) hypothesis is empirically relevant to Malaysia based upon both full sample and rolling sample analyses. Data from January 1995 to December 2010 have been utilised for the purpose. Instead of relying upon aggregated data of tourist arrivals, disaggregated data of arrivals from 12 major tourism markets are relied upon for more insightful and accurate findings. The empirical results suggest that there was cointegration between Malaysia's economic growth and tourist arrivals from these tourism markets. However, the results of the full sample Granger causality test indicate that only 2 out of 12 tourism markets contributed to economic growth in the short-run. The TLG hypothesis is only supported in the long run by tourist arrivals from 10 out of the 12 tourism markets. The rolling-based Granger causality test shows that it is also these 10 markets situated mostly in developed countries that could provide a stable support for the TLG hypothesis.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamaljit Singh

Purpose In the fast-changing technological environment, electricity is the essence of the world economy and a significant means for all the modern world’s possessions. The ongoing economic downturn focuses on energy’s role in the economy. This study aims to explore the nexuses between per capita electricity usage and per capita state gross domestic product (SGDP) in Haryana, India. Design/methodology/approach The statistics from 1989 to 2015 have been analyzed using Johansen cointegration, vector autoregression and paired Granger-causality test. Findings The Granger causality test results show that a long-run association is absent. A short-run unidirectional relationship runs from per capita SGDP to per capita electricity usage. Practical implications As a policy suggestion, the policymakers may encourage energy conservation measures and renewable energy sources to lead the country’s sustainable energy supply. Moreover, Haryana can increase its influence in this sector and enter rapidly in the growing markets worldwide by stimulating the production and adoption of digital solutions for energy efficiency. Originality/value To the best of the author’s awareness, this research is one of its nature regarding systematically analyzing electricity usage and economic growth relationship in Haryana.


2009 ◽  
Vol 59 (3) ◽  
pp. 331-343 ◽  
Author(s):  
S. Katircioglu

Tourism-Led Growth (TLG) hypothesis results are inconclusive for Mediterranean countries in the relevant literature. This study contributes to the literature by employing the bounds test for co-integration and Granger causality tests to investigate level relationship and the direction of causality between international tourism and economic growth in the case of Malta. Results reveal that a long-run equilibrium relationship exists between international tourism and economic growth in the case of Malta. On the other hand, Granger causality test results suggest that both the Tourism-Led Growth and output-driven tourism hypotheses can be inferred for Malta since there is bidirectional causation between international tourism and economic growth.


2017 ◽  
Vol 6 (1) ◽  
pp. 82-104 ◽  
Author(s):  
Champa Bati Dutta ◽  
Mohammed Ziaul Haider ◽  
Debasish Kumar Das

This article investigates the causal relationship among foreign direct investment, domestic investment, trade openness and economic growth in Bangladesh over the period 1976–2014. Unit root tests, cointegration methods and Granger causality tests in Vector Error Correction Model (VECM) framework are used to investigate the relationships. The results of Granger causality test based on a stable VECM support a unidirectional causality running from foreign direct investment to growth, domestic investment to trade openness, growth to trade openness and bidirectional causality between domestic investment and growth and foreign direct investment and domestic investment. The results support the investment complementarities in Bangladesh. JEL Classification: E22, F1, O40


Sign in / Sign up

Export Citation Format

Share Document