The Experts below are selected from a list of 70125 Experts worldwide ranked by ideXlab platform
Bin Su - One of the best experts on this subject based on the ideXlab platform.
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multiplicative structural decomposition and attribution analysis of carbon Emission Intensity in china 2002 2012
Journal of Cleaner Production, 2018Co-Authors: Bin SuAbstract:Abstract Energy/Emission Intensity indicators measure the relationship between economic development and climate change. These Intensity indicators are preferentially used in assessment criteria for mitigation goals in places such as China. This paper investigates the driving factors of changes in the national CO2 Emission Intensity and their contributions to reductions at the sector level in China from 2002 to 2012 using multiplicative structural decomposition analysis (SDA) and attribution analysis. Both Leontief and Ghosh input-output models are used in the study. The empirical results indicate: 1) the energy Intensity effect is the main driver that decreases the aggregate Emission Intensity from both the demand and supply sides; 2) structural effects, such as the energy structure effect and domestic Ghosh structure effect, promote the increase in aggregate Emission Intensity principally; and 3) to a large extent, sector “smelting and pressing of metals”, “manufacture of non-metallic mineral products” and “chemical industry” are the top three sectors that contribute to the negative energy Intensity effect. Ultimately, several discussions and conclusions associated with the empirical results, result stability and research extensibility are presented.
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a multi region structural decomposition analysis of global co2 Emission Intensity
Ecological Economics, 2017Co-Authors: H Wang, Bin SuAbstract:This paper studies changes in global and national CO2 Emission intensities using the multi-region structural decomposition analysis (SDA) technique. Emission intensities such as the ratio of CO2 Emissions to GDP have lately been widely used to characterize national Emission performance. Meanwhile the impact of international trade has been found to be important in global Emission accounting. It is therefore important to analyze changes in Emission intensities by taking trade into consideration. In this study, we first propose two SDA models, one at the global level and the other at the country level, to quantify both the domestic and trade related effects on an Intensity indicator. The models are then used to study changes in global and countries' CO2 Emission intensities from 2000 to 2009. The results show that sectoral Emission efficiency improvement was the main contributor to the slight decrease in global Emission Intensity during the period, while international trade marginally hampered improvement of global Emission Intensity. Comparisons of the performance between emerging economies and advanced economies reveal the importance of production structure and final demand structure in Emission Intensity reduction. The policy implications of the findings are presented.
Lin Dong - One of the best experts on this subject based on the ideXlab platform.
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enhanced Emission Intensity of vertical aligned flexible zno nanowire p polymer hybridized led array by piezo phototronic effect
Nano Energy, 2015Co-Authors: Chunfeng Wang, Kun Zhao, Taiping Zhang, Lin DongAbstract:Abstract Flexible optoelectronic device arrays are critically desirable for next-generation digital display, seamless integration of optoelectronics with biomedical and human–machine interactive systems and many other applications. Here we report a flexible patterned ZnO nanowire/PEDOT:PSS LEDs array with very high light-emitting uniformity. A near band edge Emission centered at 400 nm and a broad defect-related Emission covering the range from 450 to 780 nm is observed in the electroluminescence spectra. Both anneal and H 2 O 2 treatment of the ZnO NWs and the optimal thickness of PEDOT:PSS can improve the performance of the as-fabricated device. Furthermore, we demonstrate that the Emission Intensity of the ZnO nanowire/p-polymer LEDs can be enhanced by applying an external strain owing to the piezo-phototronic effect, which reduces the barrier height for hole transport, leads to an improved balance between electron contributed current and hole contributed current, owning to the piezoelectric charges on the ZnO side created by applying local strain. The simple fabrication process and excellent properties of the device pave the way to cost-efficient LED technology for potential applications in high-resolution optoelectronic device, biomedical implanted devices, artificial electronic skin and smart sensor systems.
Chenfang Wang - One of the best experts on this subject based on the ideXlab platform.
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water environmental capacity calculated based on point and non point source pollution Emission Intensity under water quality assurance rates in a tidal river network area
International Journal of Environmental Research and Public Health, 2019Co-Authors: Lina Chen, Mengtian Zhou, Yi Zhang, Bo Chen, Chenfang WangAbstract:A mathematical model for simulating hydrodynamics and pollutants migration in a tidal river network was constructed, which takes the temporal and spatial distribution of rainfall runoff and non-point pollutants into consideration. Under the design hydrologic conditions of a typical hydrological year, the daily concentration change process for the control section is obtained. Aiming at the uncertainty of hydrology and water quality parameters such as flow direction, flow rate and concentration change in tidal river network area, a statistical analysis method is used to obtain the maximum allowable concentration of pollutants in the control section under the condition of the water quality standard assurance rate of. Then, a formula for calculating the pollutions Emission Intensity of point and non-point sources is derived. The method was applied to the pollution source control in a typical region like Taihu in China.
Chao Wang - One of the best experts on this subject based on the ideXlab platform.
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impacts of industrial structure and technical progress on carbon Emission Intensity evidence from 281 cities in china
Technological Forecasting and Social Change, 2020Co-Authors: Fan Zhang, Xiangzheng Deng, Fred Phillips, Chuanglin Fang, Chao WangAbstract:Abstract In the context of global climate change and rapid urbanization, the low-carbon economy has become the fundamental means of achieving sustainable development. To find an effective solution to reduce carbon Emissions, it is important to identify the dominant factors contributing to carbon Emission Intensity (CEI). Based on refined indicators and a dynamic spatial panel model, we build a comprehensive framework to quantify the impact of the industrial structure and technical progress on the CEI and conduct empirical research on 281 prefecture-level cities in China during 2006–2016. The results show that both spatial autocorrelation and heterogeneity of CEI values are significant and positive among cities. Technical change and efficiency improvements are the dominant factors behind CEI change. Technical progress plays a significant role in reducing the CEI, whereas the carbon Emissions rebound effect decreases these positive impacts. Further, the combined effect of industrial structure optimization and technical progress on reducing carbon Intensity is not significant as we have expected. Based on our findings, we suggest specific, targeted policies to reduce CEI, including promoting regional green technology, focusing on combining green technologies with green cities, formulating different urban development strategies and strengthening cooperation among cities.
Fred Phillips - One of the best experts on this subject based on the ideXlab platform.
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impacts of industrial structure and technical progress on carbon Emission Intensity evidence from 281 cities in china
Technological Forecasting and Social Change, 2020Co-Authors: Fan Zhang, Xiangzheng Deng, Fred Phillips, Chuanglin Fang, Chao WangAbstract:Abstract In the context of global climate change and rapid urbanization, the low-carbon economy has become the fundamental means of achieving sustainable development. To find an effective solution to reduce carbon Emissions, it is important to identify the dominant factors contributing to carbon Emission Intensity (CEI). Based on refined indicators and a dynamic spatial panel model, we build a comprehensive framework to quantify the impact of the industrial structure and technical progress on the CEI and conduct empirical research on 281 prefecture-level cities in China during 2006–2016. The results show that both spatial autocorrelation and heterogeneity of CEI values are significant and positive among cities. Technical change and efficiency improvements are the dominant factors behind CEI change. Technical progress plays a significant role in reducing the CEI, whereas the carbon Emissions rebound effect decreases these positive impacts. Further, the combined effect of industrial structure optimization and technical progress on reducing carbon Intensity is not significant as we have expected. Based on our findings, we suggest specific, targeted policies to reduce CEI, including promoting regional green technology, focusing on combining green technologies with green cities, formulating different urban development strategies and strengthening cooperation among cities.