| Title |
Linear and non-linear impact of Internet usage and financial deepening on electricity consumption for Turkey: empirical evidence from asymmetric causality
|
|---|---|
| Published in |
Environmental Science and Pollution Research, February 2018
|
| DOI | 10.1007/s11356-018-1341-7 |
| Pubmed ID | |
| Authors |
Faisal Faisal, Turgut Tursoy, Niyazi Berk |
| Abstract |
This study investigates the relationship between Internet usage, financial development, economic growth, capital and electricity consumption using quarterly data from 1993Q1 to 2014Q4. The integration order of the series is analysed using the structural break unit root test. The ARDL bounds test for cointegration in addition to the Bayer-Hanck (2013) combined cointegration test is applied to analyse the existence of cointegration among the variables. The study found strong evidence of a long-run relationship between the variables. The long-run results under the ARDL framework confirm the existence of an inverted U-shaped relationship between financial development and electricity consumption, not only in the long-run, but also in the short-run. The study also confirms the existence of a U-shaped relationship between Internet usage and electricity consumption; however, the effect is insignificant. Additionally, the influence of trade, capital and economic growth is examined in both the long run and short run (ARDL-ECM). Finally, the results of asymmetric causality suggest a positive shock in electricity consumption that has a positive causal impact on Internet usage. The authors recommend that the Turkish Government should direct financial institutions to moderate the investment in the ICT sector by advancing credits at lower cost for purchasing energy-efficient technologies. In doing so, the Turkish Government can increase productivity in order to achieve sustainable growth, while simultaneously reducing emissions to improve environmental quality. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Student > Postgraduate | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 9 | 20% |
| Business, Management and Accounting | 6 | 13% |
| Environmental Science | 2 | 4% |
| Decision Sciences | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 20 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2018.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,443
of 9,883 outputs
Outputs of similar age
#339,584
of 448,711 outputs
Outputs of similar age from Environmental Science and Pollution Research
#110
of 212 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.