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- 저자 : Luo Zhenxing(Zhenxing Luo) (검색결과 4 건)
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Luo Zhenxing(Zhenxing Luo),Zhao Yanwei(Yanwei Zhao),Lim Jungmin(Jungmin Lim) 한국자료분석학회 2023 Journal of the Korean Data Analysis Society Vol.25 No.3
The central aim of this paper is to provide a comprehensive analysis of the impact of population aging on carbon emissions in China. In order to attain a deeper comprehension of this effect, this study investigates the non-linear relationship between population aging and carbon emissions through empirical analysis of 30 provinces and regions in China from 1997 to 2019 using a panel threshold model. Our primary research findings indicate that the correlation between population aging and carbon emissions demonstrates nonlinearity. Population aging has had an inhibitory effect on carbon emissions; however, as the aging population continues to increase, its effect on suppressing carbon emissions will weaken. Moreover, we have also uncovered non-linear relationships between energy intensity, per capita GDP, industrial structure, and carbon emissions. Notably, despite rapid growth in total fossil energy consumption, energy intensity has shown a decreasing trend in China, which has mitigated the upsurge in carbon emissions attributed to fluctuations in energy intensity. The positive correlation between GDP per capita and carbon emissions is evident, but there is little variation observed across different threshold levels. Finally, the relationship between industrial structure and carbon emissions is considerably intricate, our results show that a U-shaped curvilinear relationship exists between the two variables.
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luo zhenxing,임정민 한국기후변화학회 2024 한국기후변화학회지 Vol.15 No.1
Empirical evidence substantiates the utilization of market-oriented trading mechanisms as a significant strategic tool for many counties to effectively regulate greenhouse gas (GHG) emissions. This research endeavors to comprehensively evaluate the impact of carbon emission trading scheme on the reduction of carbon emissions in China. To this end, we analyze provincial panel data from China for the period from 2005 to 2019. Our empirical analyses explore the policy effects by employing two-way Fixed Effects model and Propensity Score Matching Difference-in-Differences model. Importantly, we shed a new light on the role of energy intensity on this relationship. The panel analyses find a notable reduction of 27.2% in total carbon emissions in provinces where Emission Trading Pilot has been implemented. Furthermore, we attempt to better understand the underlying mechanism how GHG emissions reduction is achieved, by elucidating the mediating effects of energy intensity in reducing carbon emissions. Our analysis reveals a substantial role of energy efficiency enhancement in reducing carbon emissions: when controlling for the energy intensity level, the policy effect of Emission Trading Pilot shrinks to 9.1%. It implies that 18.1% out of total 27.2% reduction effects are largely attributable to the enhancement of energy intensity. Our findings highlight the importance of efficient use of energy in reducing carbon emissions in a growing economy as well as in enabling sustainable growth.
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Li Haiyan,LUO ZHENXING 한국아시아학회 2023 아시아연구 Vol.26 No.4
Given the urgent and disturbing state of global warming, a meticulous investigation into the determinants influencing carbon emission intensity becomes imperative. This paper comprehensively analyzes carbon emission intensity data and its influencing factors from 1997 to 2019 across 30 provinces in China. By constructing a panel dataset and employing the panel threshold model as a methodological tool, our study explores the nonlinear relationship between industrial upgrading and carbon emission intensity within the regional scope of Chinese provinces. Furthermore, in this specific context, our study examines various economic development determinants' impact on carbon emission intensity. Empirical research results indicate that the relationship between China's industrial structure upgrading and carbon emission intensity is rather complex. As the industrial structure continuously upgrades, a U-shaped curve relationship is observed between the two variables. Energy intensity and technological progress exhibit positive impacts of 0.56% and 0.04%, respectively, on carbon emission intensity. In contrast, the inhibitory effect of per capita GDP on carbon emission intensity is 0.17%. Therefore, to achieve low-carbon and sustainable development, the Chinese government must strategically prioritize cultivating high-value-added service sectors in the tertiary industry. Simultaneously, while promoting and developing low-carbon technologies, coordination is necessary to enhance energy-intensive sectors' synchronous enhancement. Additionally, the scope of efforts must also include the systematic decarbonization of the second industry by enhancing energy efficiency and increasing the proportion of clean energy utilization.
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Pressure-Induced Confined Metal from the Mott InsulatorSr3Ir2O7
Ding, Yang,Yang, Liuxiang,Chen, Cheng-Chien,Kim, Heung-Sik,Han, Myung Joon,Luo, Wei,Feng, Zhenxing,Upton, Mary,Casa, Diego,Kim, Jungho,Gog, Thomas,Zeng, Zhidan,Cao, Gang,Mao, Ho-kwang,van Veenendaal, American Physical Society 2016 Physical Review Letters Vol.116 No.21
<P>The spin-orbit Mott insulator Sr3Ir2O7 provides a fascinating playground to explore insulator-metal transition driven by intertwined charge, spin, and lattice degrees of freedom. Here, we report high-pressure electric resistance and resonant inelastic x-ray scattering measurements on single-crystal Sr3Ir2O7 up to 63-65 GPa at 300 K. The material becomes a confined metal at 59.5 GPa, showing metallicity in the ab plane but an insulating behavior along the c axis. Such an unusual phenomenon resembles the strange metal phase in cuprate superconductors. Since there is no sign of the collapse of spin-orbit or Coulomb interactions in x-ray measurements, this novel insulator-metal transition is potentially driven by a first-order structural change at nearby pressures. Our discovery points to a new approach for synthesizing functional materials.</P>
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