Impact of population and economic growth on carbon emissions in Taiwan using an analytic tool STIRPAT
By J. Yeh, C. Liao. 2017
175 citations recorded by the source corpus.
Abstract Carbon emission has increasingly become an issue of global concern because of climate change. Unfortunately, Taiwan was listed as top 20 countries of carbon emission in 2014. In order to provide appropriate measures to control carbon emission, it appears that there is an urgent need to address how such factors as population and economic growth impact the emission of carbon dioxide in any developing countries. In addition to total population, both the percentages of population living in urban area (i.e., urbanization percentage), and non-dependent population may also serve as limiting factors. On the other hand, the total energy-driven gross domestic production (GDP) and the percentage of GDP generated by the manufacturing industries are assessed to see their respective degree of impact on carbon emission. Therefore, based on the past national data in the period 1990–2014 in Taiwan, an analytic tool of Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) was employed to see how well those aforementioned factors can describe their individual potential impact on global warming, which is measured by the total amount of carbon emission into the atmosphere. Seven scenarios of STIRPAT model were proposed and tested statistically for the significance of each proposed model. As a result, two models were suggested to predict the impact of carbon emission due to population and economic growth by the year 2025 in Taiwan.
Subfields: Economics and Econometrics, Environmental Engineering, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/b55e090ab2281fe0cc5d236b6f29d0f138423bac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Environmental Engineering
Citations in the corpus
- NATURAL RESOURCES DEPLETION, RENEWABLE ENERGY CONSUMPTION AND ENVIRONMENTAL DEGRADATION: A COMPARATIVE ANALYSIS OF DEVELOPED AND DEVELOPING WORLD (2021, background): “…et al., 2014; Long et al., 2015; Xu and Lin, 2015; Alshehry and Belloumi, 2015; Robaina-Alves et al., 2016; Alam et al., 2016; Zhao et al., 2017; Yeh and Liao, 2017; Zhang et al., 2017; Jebli and Youssef, 2017; Bildirici, 2017; Riti et al., 2017; Mikayilov et al., 2018; Chaudhary and Bisai,…”
- Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review (2020, unknown): “atmospheric constituents [139].”