|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Elastic Scattering of 7Be on Pb Target显示文摘 | Yang Yanyun Wang Jiansong Wang Qi Huang Meirong Ma Junbing Ma Peng Cao Xiguang Han Jianlong Bai Zhen Jin Shilong Hu Qiang Jin Lei Chen Jiangbo Zhang Xueying Chen Ruofu Hu Zhengguo Xu Shiwei Zhen Chuan Xu Zhiguo Xu Hushan Duan Liming Sun Zhiyu Chen Zhiqiang He Jianjun Li Songlin Lei Xiangguo Fu Fen Zhang Xueheng Yuan Xiaohua Du Chengming Yan Xinshuang Hu Jun Tang Shuwen Ye Ruiping Yang Kun Shi Fudong Zhang Wei Chen Ze Li Long Xu Xing Liu Longxiang Zhang Liyong Lin Qingyun Gou Boxing Xu Ge Zhou Xionghong Zhang Yuhu Xiao Guoqing | 2011 | IMP & HIRFL Annual Report2011，，1： | 4 |
| 2 | Effects of investment on energy intensity:evidence from China显示文摘This article explores the effects of investment upon energy intensity by applying a unique panel data of China's 27 provinces between 2004 and 2013.In addition,it also particularly stuthes other factors,such as energy price,economic structure,and urbanization.The results,based on four econometric regression model results,suggest that in general,the indigenous investment on research and development is a more powerful tool to decrease China's energy intensity regardless of region disparity.The foreign direct investment(FDI) has a prominent but not persistent effect on energy intensity.However,the outward direct investment has not shown its significant impact on energy intensity.At the level of an aggregate economy and China's eastern region,the results demonstrate that FDI improves energy efficiency significantly.For the central and western provinces,FDI does not support the similar conclusion.Based on these analyses,we present the corresponding regional policies for policymakers. | Junbing Huang Shiwei Yu | 2016 | Chinese Journal of Population,Resources and Environment2016，16，3： | 1 |
| 3 | The effect of human capital on energy consumption:Evidence from an extended version of STIRPAT framework显示文摘Human capital is an important aspect of energy consumption,exerting crucial effects on economic growth,technological progress,and economic restructuring.This paper presents an in-depth investigation of the effect of human capital on energy consumption using an extended version of the Stochastic Impacts by Regression on Population,Affluence,and Technology framework.The estimated results using a panel dataset covering China’s 30 provincial regions during the period 1997-2018 and applying fixed effects with instrumental variables and the generalized method of moments indicated that an increase in human capital significantly drove energy consumption.A 1%increase in human capital increased energy consumption by approximately 0.3%.A two-step channel analysis to test scale,technical,and structural effects revealed that the positive effect of human capital on energy consumption is based primarily on the scale effect.However,highly educated human capital alleviates the energy pressure of this effect.In contrast to the scale effect,both the technical and structural effects of human capital reduced energy consumption,and this reduction is primarily correlated with enterprises’utility-oriented technological progress.Finally,we present strategic energy control policy implications related to human capital. | Yajun Wang Junbing Huang Xiaochen Cai | 2022 | Chinese Journal of Population,Resources and Environment2022，20，2： | 0 |
| 4 | Effect of China’s technology spillovers on energy intensity in Africa显示文摘Empirical studies on the effects of China-African economic relations on energy intensity in Africa are scarce.To fill the gap in the literature,this study investigates the technology spillover effects of the China-Africa trade and investment relations on energy intensity.It uses both linear and nonlinear dynamic panel estimation methods for 42 African countries from 2003 to 2015.The results show that China's technology spillover through imports significantly reduces energy intensity in Africa.The findings are consistent across specifications and sample groups.Moreover,the technology spillover coming from foreign direct investment(FDI)improves energy intensity,particularly in lower-middle-income African countries.The dynamic threshold estimation results show that countries'absorptive ability is important for technology spillover effects of FDI and imports on energy intensity.The results suggest that countries'absorptive capacity should be increased to maximize the benefits of trade and investment technology spillovers. | Mesfin Welderufael Berhe Junbing Huang Abel Dula Wedajo | 2022 | Chinese Journal of Population,Resources and Environment2022，20，2： | 0 |
| 5 | 2-18 Research Progress in the Exotic Nuclei Group显示文摘In order to study short-lived isotopes with submilisecond half-life and very low recoil energy, some technicalimprovements were made: (1) A VME data acquisition system was introduced to replace the old CAMMAC system.This allows to study isotopes with half-life down to 10 s. (2) Electrical isolation and filtering were introduced,the front end electronic noises have been reduced from 8 MeV down to 2 MeV and the 16 kHz noise producedby the engine of the rotating target system has been removed. (3) A cooling system for the energy degrader wasinstalled and the degrader can be cooled to 0?C. | Liu Zhong Huang Tianheng Ding Bing Sun Mingdao Ma Junbing | 2014 | IMP & HIRFL Annual Report2014，，1： | 0 |
| 6 | 2-22 Elastic Scattering Studies of Light Proton-rich显示文摘The elastic scattering is an important probe to study the properties of a nucleus. An accurate measurement ofthe elastic scattering differential cross section is very important to determine the optical potential parameters andthe so-called one quarter angle (q1=4). Also, the optical potential parameters of stable nuclei and unstable nucleiare found to be different. 8B, the binding energy of the last proton is only 0.137 MeV, is a well-known protonhalonucleus even there are still some arguments. Many investigations have been done for 8B by measuring thetotal reaction cross sections, breakup cross section and inelastic scattering differential cross section. However, theexperimental data of elastic scattering of 8B and other light proton-rich nuclei on heavy target are few. Therefore, aseries of experiments have been carried out for such nuclei at the Radioactive Ion Beam Line in Lanzhou (RIBLL). | Wang Jiansong Yang Yanyun Wang Qi Pang Danyang Ma Junbing Huang Meirong Ma Peng Jin Shilun Han Jianlong Bai Zhen Ma Weihu Zhou Yuanjie Chen Jie Jin Lei Chen Jiangbo Hu Qiang R. Wada S. Mukherjee | 2014 | IMP & HIRFL Annual Report2014，，1： | 0 |
| 7 | 2-24 Breakup Reaction of 9Li显示文摘The studies of nuclear cluster structure play an important role in understanding of nuclear structure properties.There are lots of works have been done[1?6] to study the nuclear cluster structure properties.. It is a very importantmethod to investigate the nuclear cluster structure through analyzing the breakup reaction of the interesting nucleus.The experimental study of the cluster structure of 9Li through analyzing its breakup fragments was performed atRadioactive Ions Beam Line in Lanzhou (RIBLL). The light charged particles were measured by a ΔE-E telescopearray. Also the energy distribution of the fragments have been measured in this experiment. | Ma Weihu Wang Jiansong Yang Yanyun Ma Peng Ma Junbing Jin Shilun Bai Zhen Huang Meirong Wang Qi Zhou Yuanjie Chen Jie | 2014 | IMP & HIRFL Annual Report2014，，1： | 0 |
| 8 | Forecasting China's primary energy demand based on an improved AI model显示文摘An improved energy demand forecasting model is built based on the autoregressive distributed lag(ARDL) bounds testing approach and an adaptive genetic algorithm(AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization,and technological progress as the input variables. On the basis of historical annual data from1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively. | Shuxing Chen Junbing Huang | 2018 | Chinese Journal of Population,Resources and Environment2018，16，1： | 0 |
| 9 | β-decay study of neutron-rich nucleus ^(34)Al显示文摘The'island of inversion'has been known for over a quarter century,since Warburton et al.[1]proposed that nuclei with intruder ground states would constitute a 3×3 square with Z=10-12,N=20-22 in 1990.Uncovering the underlying inversion mechanism and exploring the scope of the island have attracted significant theoretical and experimental efforts in the following years.Now it is well known that the reduction of N=20 shell gap,which is likely caused by the | Rui Han XiangQing Li WeiGuang Jiang ZhiHuan Li Hui Hua ShuangQuan Zhang CenXi Yuan DongXing Jiang YanLin Ye Jing Li ZongHao Li FuRong Xu QiBo Chen Jie Meng JianSong Wang Chuan Xu YeLei Sun ChunGuang Wang HongYi Wu ChenYang Niu ChenGuang Li Chao He Wei Jiang PengJie Li HongLiang Zang Jun Feng SiDong Chen Qiang Liu XiaoChi Chen HuShan Xu ZhengGuo Hu YanYun Yang Peng Ma JunBing Ma ShiLun Jin Zhen Bai MeiRong Huang Yuan Jie Zhou WeiHu Ma Yong Li XiaoHong Zhou YuHu Zhang GuoQing Xiao WenLong Zhan | 2017 | Science China(Physics,Mechanics & Astronomy)2017，60，4： | 0 |
| 10 | Prediction of primary energy demand in China based on AGAEDE optimal model显示文摘In this article,we present an application of Adaptive Genetic Algorithm Energy Demand Estimation(AGAEDE) optimal model to improve the efficiency of energy demand prediction.The coefficients of the two forms of the model(both linear and quadratic) are optimized by AGA using factors,such as GDP,population,urbanization rate,and R&D inputs together with energy consumption structure,that affect demand.Since the spurious regression phenomenon occurs for a wide range of time series analysis in econometrics,we also discuss this problem for the current artificial intelligence model.The simulation results show that the proposed model is more accurate and reliable compared with other existing methods and the China's energy demand will be 5.23 billion TCE in 2020 according to the average results of the AGAEDE optimal model.Further discussion illustrates that there will be great pressure for China to fulfill the planned goal of controlling energy demand set in the National Energy Demand Project(2014—2020). | Lu Liu Junbing Huang Shiwei Yu | 2016 | Chinese Journal of Population,Resources and Environment2016，16，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员