2017
DOI: 10.3390/ijerph14121505
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The Impact of Technological Progress in the Energy Sector on Carbon Emissions: An Empirical Analysis from China

Abstract: This paper investigates the relationship between technological progress in the energy sector and carbon emissions based on the Environment Kuznets Curve (EKC) and data from China during the period of 1995–2012. Our study confirms that the situation in China conforms to the EKC hypothesis and presents the inverted U-curve relationship between per capita income and carbon emissions. Furthermore, the inflection point will be reached in at least five years. Then, we use research and development (R & D) investment … Show more

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Cited by 117 publications
(57 citation statements)
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“…On the contrary, the R&D intensity represents the technology of a country in a certain period of time [ 45 ]. Based on the previous studies [ 9 ], higher levels of technology make energy more efficient in the production process and, hence, the embodied carbon emissions tend to decline with the updates of the technology.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…On the contrary, the R&D intensity represents the technology of a country in a certain period of time [ 45 ]. Based on the previous studies [ 9 ], higher levels of technology make energy more efficient in the production process and, hence, the embodied carbon emissions tend to decline with the updates of the technology.…”
Section: Methodsmentioning
confidence: 99%
“…Comparing with trade openness, trade volumes are more accurate and direct in understanding the embodied carbon emissions generated from the trade. A couple of other studies focused on direct carbon emissions generated from the energy sector only (see for example, Jin et al [ 9 ]). Thus, indirect carbon emissions are largely ignored.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Second, future studies can employ longer-term longitudinal data, which can bring additional insight to the understanding of the dynamic interactions among knowledge production, international trade, technology development capability, and spatial spillover in the high-tech industries. Third, research can go deeper to study specific innovation activities in high-tech industries related to green product design [52] or carbon emission reduction [53].…”
Section: Conclusion Policy Implications and Future Researchmentioning
confidence: 99%
“…Zhou et al [ 16 ] employed a hybrid approach combining with data envelopment analysis to determine key pollution factors causing lung cancer and identify whether rural or urban residents are more vulnerable to air pollution by using the data from Nanchang, China. In view of the Environment Kuznets Curve (EKC) and data from China in 1995–2012, Jin et al [ 17 ] studied the relationship between technological progress and carbon emission. Based on the data of carbon dioxide emission in Chongqing, Yang et al [ 18 ] analyzed and forecasted other fossil energy consumption and corresponding CO emission in 2020.…”
Section: About the Papers Of This Special Issuementioning
confidence: 99%