The Long-Term Effect of Economic Growth, Energy Innovation, Energy Use on Environmental Quality

Author(s):  
Daniel Balsalobre-Lorente ◽  
Agustín Álvarez-Herranz ◽  
Muhammad Shahbaz
2019 ◽  
Vol 74 (4) ◽  
pp. 761-779 ◽  
Author(s):  
Yaping Liu ◽  
Tafazal Kumail ◽  
Wajahat Ali ◽  
Farah Sadiq

Purpose The present study aims to investigate the dynamic relationship between international tourist receipts, economic growth, energy use and carbon dioxide (CO2) emissions in Pakistan over the period 1980-2016. Many researchers have investigated the link between tourism and CO2 emissions, but there is no clear picture as the results are contradictory. This study is an attempt to compliment the literature related to tourism and environmental quality. Design/methodology/approach The study adopted the autoregressive distributed lagged (ARDL) model to investigate the short- and long-run estimates simultaneously. The study further applied Granger causality to find out the direction of causalities. To arrive at long-run robust estimates, the study used dynamic ordinary least squares (DOLS) model. Findings The results found that tourist receipts have no significant impact on environmental quality, while growth and energy consumption are the main determinants of CO2 emissions in Pakistan. The Granger causality test confirmed unidirectional causalities from GDP and energy consumption toward CO2 emissions, while tourist receipts do not affect environmental quality. DOLS technique confirmed the long-run estimates of ARDL model. Research limitations/implications The result of the study complements the literature by adding new evidence regarding the nexus of tourism and environment. Findings of the study are important for policymakers and regulatory bodies to place their focus on the development of tourism sector (services sector) rather than energy-intensive manufacturing activities to sustain the growth of the country in higher quartiles, as tourism receipts have no significant negative externalities toward environment, while energy use is one of the key determinants of environmental degradation. Originality/value This study used time series data over the period 1980-2016 for Pakistan to inspect the dynamic relationship between tourist receipts, economic growth, energy consumption and CO2 emissions.


2011 ◽  
Vol 46 (4) ◽  
pp. 1137-1149 ◽  
Author(s):  
Qazi Muhammad Adnan Hye

2018 ◽  
Vol 7 (2) ◽  
pp. 99
Author(s):  
Putriani Putriani ◽  
Idris Idris ◽  
Melti Roza Adry

This study aims to determine the Influence of Economic Growth, Energy Use and Export to Environmental Quality in Indonesia. The method used is Errror Correction Model (ECM) method. The data used are time series from 1983-2016 collected through documentation from BP Statistical World Energy website, World Bank, Indonesian Central Bureau of Statistics. The results of this study show that in the short term economic growth in linear effect negatively and not significant while the quadratic bepengaruh positive and insignificant to environmental quality in Indonesia. In the long run economic growth in linear has a negative and significant influence while the quadratic bepengaruh positive and significant to the kuaitas environment. Long-term and short-term energy use has a negative and significant impact on environmental quality in Indonesia. Exports in the long run have a negative and significant influence, while short-term has a negative and insignificant effect on environmental quality. The results of this study provide information about the quality of the environment so that the government and the community can protect, supervise and improve the quality of the environment in Indonesia.


2020 ◽  
Vol 2 (1) ◽  
pp. 151
Author(s):  
Widya Ayu Lastri ◽  
Ali Anis

This Study aims to examine and to analisys the influencing factors on economic growth in Indonesia, which the variables are e-commerce, inflation and exchange rate. This study is associative descriptive research, which using secondary data from 2011Q1-2018Q4 that obtained from relevant institutions and agencies. Analisys using Error Correction Model (ECM) method. This study using Ordinary Lest Square (OLS) method to know the long term effect and ECM to know the short term effect at one blow.The study found that in the long term, e-commerce and exchange rate have a significant effect and inflation have not a significant effect. And in the short term, e-commerce have a positive and significant effect, while inflation and exchange rate have a negative and not significant.


2010 ◽  
Author(s):  
Andreas T. Breuer ◽  
Michael E. J. Masson ◽  
Glen E. Bodner
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