The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Chao Feng - One of the best experts on this subject based on the ideXlab platform.
-
the impacts of Technological Gap and scale economy on the low carbon development of china s industries an extended decomposition analysis
Technological Forecasting and Social Change, 2020Co-Authors: Miao Wang, Chao FengAbstract:Abstract In this study, the general production-theoretical decomposition model (PDA) was extended by taking into account Technological Gap and scale economy. With the application of the extended PDA, changes in China's industrial CO2 emissions intensity (CEI) were decomposed into eleven factors, including four new proposed factors, namely, energy-oriented Technological Gap, energy-oriented scale economy, output-oriented Technological Gap, and output-oriented scale economy. Main findings suggest that during 2000-2016, the CEI of China's industry underwent a considerable decline. The potential energy intensity, output-oriented technology, and energy-oriented technology factors were the three largest contributors to this decline. The carbon emissions factor contributed to the reduction of industrial CEI, while the energy structure factor functioned as an inhibitor. The newly identified factors also had important effects on China's industrial CEI. The output-oriented scale economy contributed to the reduction of industrial CEI, while the energy-oriented scale economy was an inhibitor, indicating that China's industry has reached a stage of scale economy that is beneficial to output-oriented performance rather than energy-oriented performance. Furthermore, the energy-oriented and output-oriented Technological Gap factors have hindered the reduction of China's industrial CEI.
-
Technological Gap, scale economy, and China's industrial energy demand
Journal of Cleaner Production, 2019Co-Authors: Miao Wang, Chao FengAbstract:Abstract The industrial sector in China is energy-intensive and accounts for more than 60% of the nation's total energy consumption (demand). Narrating the story behind the growth of China's industrial energy consumption could help us understand the past and prepare for the future. This paper aims to investigate the factors affecting China's industrial energy consumption in the 21st century by using an extended production-theoretical decomposition approach (PDA) with considering the Technological Gap and scale of the economy effects. The new proposed decomposition framework includes four new factors, namely, the energy Technological Gap, the output Technological Gap, energy scale efficiency, and output scale efficiency. The results show that in the 21st century, the energy consumption of China's industry increased by more than one billion tons of standard coal. The expansion of the industrial economy is a dominant driver of China's industrial energy consumption, while potential energy intensity, energy technology, and output technology are the three largest energy-saving factors. In addition to the conventional factors, the newly proposed factors also have important effects on China's industrial energy consumption. Specifically, output scale efficiency is an energy-saving factor, while the energy Technological Gap, output Technological Gap, and energy scale efficiency are drivers of energy consumption. This suggests that China's industry is at the stage of returns to scale that is beneficial to output performance but harmful to energy performance. Meanwhile, the widening of the industrial Technological Gaps has negative impacts on China's industrial energy conservation. The proposed decomposition approach can provide information that cannot be obtained from traditional approaches and it can also be applied to many other cases for investigating feasible paths of energy-saving and emissions reduction.
Qunwei Wang - One of the best experts on this subject based on the ideXlab platform.
-
measurement and decomposition of energy saving and emissions reduction performance in chinese cities
Applied Energy, 2015Co-Authors: Qunwei Wang, Jiasen Sun, Peng Zhou, Dequn ZhouAbstract:Abstract Taking into account the heterogeneity of production technologies across Chinese cities, we adopted a meta-frontier function and a non-radial directional distance function to construct an index that comprehensively evaluates the performance achieved by coupling energy-saving and emissions reduction. We also analyzed the theoretical factors leading to performance loss in energy-saving and emissions reduction. An empirical analysis of 209 Chinese cities suggests the following. First, the energy-saving and emissions reduction performances of Chinese cities are generally low, and the relationship between these variables and the economic development level is U-shaped. The results also suggest that cities place more importance on energy-saving than on emissions reduction. Second, the technology Gap and insufficient management are the two primary sources of latent capacity that could contribute to energy-saving and emissions reduction in Chinese cities; insufficient management is the dominant factor in both high-income and lower-middle income cities. Four combinable strategies for energy-saving and emissions reduction are proposed. Third, the heterogeneities of production technologies related to energy-saving and emissions reduction are universal; the Technological Gap between the current and the best production technologies is seen in the largest of the middle income cities, and the Gap is smallest in high-income cities.
Miao Wang - One of the best experts on this subject based on the ideXlab platform.
-
the impacts of Technological Gap and scale economy on the low carbon development of china s industries an extended decomposition analysis
Technological Forecasting and Social Change, 2020Co-Authors: Miao Wang, Chao FengAbstract:Abstract In this study, the general production-theoretical decomposition model (PDA) was extended by taking into account Technological Gap and scale economy. With the application of the extended PDA, changes in China's industrial CO2 emissions intensity (CEI) were decomposed into eleven factors, including four new proposed factors, namely, energy-oriented Technological Gap, energy-oriented scale economy, output-oriented Technological Gap, and output-oriented scale economy. Main findings suggest that during 2000-2016, the CEI of China's industry underwent a considerable decline. The potential energy intensity, output-oriented technology, and energy-oriented technology factors were the three largest contributors to this decline. The carbon emissions factor contributed to the reduction of industrial CEI, while the energy structure factor functioned as an inhibitor. The newly identified factors also had important effects on China's industrial CEI. The output-oriented scale economy contributed to the reduction of industrial CEI, while the energy-oriented scale economy was an inhibitor, indicating that China's industry has reached a stage of scale economy that is beneficial to output-oriented performance rather than energy-oriented performance. Furthermore, the energy-oriented and output-oriented Technological Gap factors have hindered the reduction of China's industrial CEI.
-
Technological Gap, scale economy, and China's industrial energy demand
Journal of Cleaner Production, 2019Co-Authors: Miao Wang, Chao FengAbstract:Abstract The industrial sector in China is energy-intensive and accounts for more than 60% of the nation's total energy consumption (demand). Narrating the story behind the growth of China's industrial energy consumption could help us understand the past and prepare for the future. This paper aims to investigate the factors affecting China's industrial energy consumption in the 21st century by using an extended production-theoretical decomposition approach (PDA) with considering the Technological Gap and scale of the economy effects. The new proposed decomposition framework includes four new factors, namely, the energy Technological Gap, the output Technological Gap, energy scale efficiency, and output scale efficiency. The results show that in the 21st century, the energy consumption of China's industry increased by more than one billion tons of standard coal. The expansion of the industrial economy is a dominant driver of China's industrial energy consumption, while potential energy intensity, energy technology, and output technology are the three largest energy-saving factors. In addition to the conventional factors, the newly proposed factors also have important effects on China's industrial energy consumption. Specifically, output scale efficiency is an energy-saving factor, while the energy Technological Gap, output Technological Gap, and energy scale efficiency are drivers of energy consumption. This suggests that China's industry is at the stage of returns to scale that is beneficial to output performance but harmful to energy performance. Meanwhile, the widening of the industrial Technological Gaps has negative impacts on China's industrial energy conservation. The proposed decomposition approach can provide information that cannot be obtained from traditional approaches and it can also be applied to many other cases for investigating feasible paths of energy-saving and emissions reduction.
Ficorella F. - One of the best experts on this subject based on the ideXlab platform.
-
Characterization of a novel pixelated Silicon Drift Detector (PixDD) for high-throughput X-ray astrophysics
2018Co-Authors: Evangelista Y., Ambrosino F., Feroci M., Bellutti P., Bertuccio G., Borghi G., Campana R., Caselle M., Cirrincione D., Ficorella F.Abstract:Multi-pixel fast silicon detectors represent the enabling technology for the next generation of space-borne experiments devoted to high-resolution spectral-timing studies of low-flux compact cosmic sources. Several imaging detectors based on frame-integration have been developed as focal plane devices for X-ray space-borne missions but, when coupled to large-area concentrator X-ray optics, these detectors are affected by strong pile-up and dead-time effects, thus limiting the time and energy resolution as well as the overall system sensitivity. The current Technological Gap in the capability to realize pixelated silicon detectors for soft X-rays with fast, photon-by-photon response and nearly Fano-limited energy resolution therefore translates into the unavailability of sparse read-out sensors suitable for high throughputX-ray astronomy applications. In the framework of the ReDSoX Italian collaboration, we developed a new, sparse read-out, pixelated silicon drift detector which operates in the energy range 0.5–15 keV with nearly Fano-limited energy resolution (≤150 eV FWHM @ 6 keV) at room temperature or with moderate cooling (~0°C to +20°C). In this paper, we present the design and the laboratory characterization of the first 16-pixel (44) drift detector prototype (PixDD), read-out by individual ultra low-noise charge sensitive preamplifiers (SIRIO) and we discuss the future PixDD prototype developments
-
Characterization of a novel pixelated Silicon Drift Detector (PixDD) for high-throughput X-ray astrophysics
'IOP Publishing', 2018Co-Authors: Evangelista Y., Ambrosino F., Feroci M., Bellutti P., Bertuccio G., Borghi G., Campana R., Caselle M., Cirrincione D., Ficorella F.Abstract:Multi-pixel fast silicon detectors represent the enabling technology for the next generation of space-borne experiments devoted to high-resolution spectral-timing studies of low-flux compact cosmic sources. Several imaging detectors based on frame-integration have been developed as focal plane devices for X-ray space-borne missions but, when coupled to large-area concentrator X-ray optics, these detectors are affected by strong pile-up and dead-time effects, thus limiting the time and energy resolution as well as the overall system sensitivity. The current Technological Gap in the capability to realize pixelated silicon detectors for soft X-rays with fast, photon-by-photon response and nearly Fano-limited energy resolution therefore translates into the unavailability of sparse read-out sensors suitable for high throughput X-ray astronomy applications. In the framework of the ReDSoX Italian collaboration, we developed a new, sparse read-out, pixelated silicon drift detector which operates in the energy range 0.5-15 keV with nearly Fano-limited energy resolution ($\leq$150 eV FWHM @ 6 keV) at room temperature or with moderate cooling ($\sim$0 {\deg}C to +20 {\deg}C). In this paper, we present the design and the laboratory characterization of the first 16-pixel (4$\times$4) drift detector prototype (PixDD), read-out by individual ultra low-noise charge sensitive preamplifiers (SIRIO) and we discuss the future PixDD prototype developments.Comment: Accepted for publication in Journal of Instrumentation (JINST) on 29th August 201
Boqiang Lin - One of the best experts on this subject based on the ideXlab platform.
-
technology Gap and co2 emission reduction potential by technical efficiency measures a meta frontier modeling for the chinese agricultural sector
Ecological Indicators, 2017Co-Authors: Rilong Fei, Boqiang LinAbstract:Abstract The purpose of this paper is to explore CO2 emission efficiency in china’s agricultural sector during the period 2001–2012. We also analyze the CO2 emission reduction potential as well as its two main contributors (i.e. technology Gap inefficiency and managerial failure). The meta-frontier framework is adopted to reflect technology heterogeneities in China’s agricultural sector among the eastern, central and western regions. Based on the DEA (data envelopment analysis) method, the models are estimated by means of linear programming. Empirical results indicate that CO2 emission efficiency of the agricultural sector in western China is the lowest compared with eastern and central China; stemming from the fact that most provinces in western China generally fall behind in terms of technology. The total potential agricultural CO2 emissions reduction is estimated at 1161.33 million tons, which can be attributed to managerial failure in the case of eastern and central China. For western China, it can be attributed to both Technological Gap inefficiency and managerial failure.