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高铁开通对劳动生产率的影响研究--基于生产性服务业集聚和产业结构变迁视角 CQVIP
期刊论文 | 2021 , 35 (2) , 38-45 | 张雪薇
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Abstract :

高铁开通对劳动生产率的影响研究--基于生产性服务业集聚和产业结构变迁视角

Keyword :

高铁开通 高铁开通 生产性服务业集聚 生产性服务业集聚 产业结构变迁 产业结构变迁 劳动生产率 劳动生产率

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GB/T 7714 张雪薇 , 宗刚 , 朱慧珂 et al. 高铁开通对劳动生产率的影响研究--基于生产性服务业集聚和产业结构变迁视角 [J]. | 张雪薇 , 2021 , 35 (2) : 38-45 .
MLA 张雪薇 et al. "高铁开通对劳动生产率的影响研究--基于生产性服务业集聚和产业结构变迁视角" . | 张雪薇 35 . 2 (2021) : 38-45 .
APA 张雪薇 , 宗刚 , 朱慧珂 , 软科学 . 高铁开通对劳动生产率的影响研究--基于生产性服务业集聚和产业结构变迁视角 . | 张雪薇 , 2021 , 35 (2) , 38-45 .
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高铁开通对劳动生产率的影响研究——基于生产性服务业集聚和产业结构变迁视角 CSSCI
期刊论文 | 2021 , 35 (2) , 38-45 | 软科学
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Abstract :

将高铁开通作为准自然实验,以2005~2017年286个地级及以上城市的面板数据为样本,从生产性服务业集聚和产业结构变迁视角探究高铁开通对劳动生产率的影响,并运用双重差分估计(DID)和倾向匹配得分双重差分估计(PSM-DID)等方法对高铁开通与劳动生产率进行实证分析和稳健性检验.结果发现:高铁开通对劳动生产率具有显著正向影响,且影响程度在不同地区和不同人口规模城市存在异质性;随着生产性服务业集聚从专业化向多样化转变,高铁开通对劳动生产率的正向影响逐渐加强;同时,高铁开通能够缓解产业结构高级化和合理化对劳动生产率产生的负向影响.

Keyword :

产业结构变迁 产业结构变迁 劳动生产率 劳动生产率 高铁开通 高铁开通 生产性服务业集聚 生产性服务业集聚

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GB/T 7714 张雪薇 , 宗刚 , 朱慧珂 . 高铁开通对劳动生产率的影响研究——基于生产性服务业集聚和产业结构变迁视角 [J]. | 软科学 , 2021 , 35 (2) : 38-45 .
MLA 张雪薇 et al. "高铁开通对劳动生产率的影响研究——基于生产性服务业集聚和产业结构变迁视角" . | 软科学 35 . 2 (2021) : 38-45 .
APA 张雪薇 , 宗刚 , 朱慧珂 . 高铁开通对劳动生产率的影响研究——基于生产性服务业集聚和产业结构变迁视角 . | 软科学 , 2021 , 35 (2) , 38-45 .
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Modeling the failure pattern of prenotched recycled aggregate concrete using FEM on complementary energy principle EI
期刊论文 | 2021 , 2021 | Mathematical Problems in Engineering
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Abstract :

The reuse of recycled aggregate concrete (RAC) is being researched all over the world and lots of works are focused on the notched specimen to study the crack path of RAC. A mathematical algorithm of RAC meshing was presented to explore the failure pattern in RAC. According to this algorithm, the interfacial transition zone can be defined to be an actual thickness at the micron level. Further, a new finite element method (FEM) on the complementary energy principle was introduced to simulate the mechanical behavior of RAC's mesostructure. The compliance matrix of the element with any shape can be calculated and expressed to be a uniform and explicit expression. Several numerical models of RAC were established, in which the effecting factors of the prenotch size, thickness of ITZ, and the distance from the prenotch to the aggregate were taken into account. Hereafter, these RAC models were subjected to uniaxial tension. The effect of the aforementioned factors on the crack path was simulated. The simulated data manifest that both the mesh mode of RAC and the FEM on complementary energy principle are effective approaches to explore the failure pattern of RAC. The size of the prenotch, thickness of ITZ, and distance from the prenotch to the recycled aggregate have a powerful influence on the path and distribution of the isolated crack, width and length of the crack path, and the shape and path of continuous cracks, respectively. Copyright © 2021 Yao Wang et al.

Keyword :

Finite element method Finite element method Concretes Concretes Cracks Cracks Recycling Recycling Concrete aggregates Concrete aggregates Failure (mechanical) Failure (mechanical) Aggregates Aggregates

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GB/T 7714 Wang, Yao , Zong, Gang , Liu, Juan et al. Modeling the failure pattern of prenotched recycled aggregate concrete using FEM on complementary energy principle [J]. | Mathematical Problems in Engineering , 2021 , 2021 .
MLA Wang, Yao et al. "Modeling the failure pattern of prenotched recycled aggregate concrete using FEM on complementary energy principle" . | Mathematical Problems in Engineering 2021 (2021) .
APA Wang, Yao , Zong, Gang , Liu, Juan , Wu, Chunyang , Xu, Minyao , Zhao, Jing . Modeling the failure pattern of prenotched recycled aggregate concrete using FEM on complementary energy principle . | Mathematical Problems in Engineering , 2021 , 2021 .
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Effects of Government Healthcare Expenditure on Economic Growth Based on Spatial Durbin Model: Evidence from China SCIE SSCI
期刊论文 | 2020 , 49 (2) , 283-293 | IRANIAN JOURNAL OF PUBLIC HEALTH
WoS CC Cited Count: 6
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Abstract :

Background: The proportion of government healthcare expenditure in China increases due to rapid economic development in recent years. The growth of government healthcare expenditure can promote physical health improvement of human capitals and thereby facilitate economic growth. Hence, exploring the effects of government healthcare expenditure on economic growth is important. Methods: Spatial correlation of economic growth under different spatial weights was tested, and the effects of government healthcare expenditure on economic growth were analyzed by constructing a spatial Durbin model with the panel data of 31 provinces in China gathered from 2005 to 2017. Results: Government healthcare expenditure in China significantly and positively affects economic growth under three spatial weight matrices. The spatial weight of economic distance influences economic growth more significantly compared with the 0-1 spatial weight and the spatial weight of geographical distance. The total and the direct effects of government healthcare expenditure are significantly positive. Furthermore, the direct effects are significant, whereas the indirect effects show different degrees of significance. Conclusion: The total effect of government healthcare expenditure on economic growth is significant and positive, with direct effects exceeding the indirect ones. Hence, the China's government must continue to increase financial investment to public health services to promote high -quality economic growth in the country.

Keyword :

Spatial Durbin model Spatial Durbin model Economic growth Economic growth Healthcare expenditure Healthcare expenditure

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GB/T 7714 Zhang, Xuewei , Gang, Zong , Dong, Xiao . Effects of Government Healthcare Expenditure on Economic Growth Based on Spatial Durbin Model: Evidence from China [J]. | IRANIAN JOURNAL OF PUBLIC HEALTH , 2020 , 49 (2) : 283-293 .
MLA Zhang, Xuewei et al. "Effects of Government Healthcare Expenditure on Economic Growth Based on Spatial Durbin Model: Evidence from China" . | IRANIAN JOURNAL OF PUBLIC HEALTH 49 . 2 (2020) : 283-293 .
APA Zhang, Xuewei , Gang, Zong , Dong, Xiao . Effects of Government Healthcare Expenditure on Economic Growth Based on Spatial Durbin Model: Evidence from China . | IRANIAN JOURNAL OF PUBLIC HEALTH , 2020 , 49 (2) , 283-293 .
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基于时间价值的交通出行方式选择行为研究 CSCD CSSCI
期刊论文 | 2020 , 34 (3) , 142-150 | 管理工程学报
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Abstract :

通勤出行是城市居民最基本和最重要的出行目的,通勤出行时间价值是评价通勤出行者对交通方式选择的重要参数之一,以累积前景理论为基础,将通勤出行时间价值引入广义出行成本函数中,以权重函数和改进的广义出行成本函数作为交通方式选择模型的依据,并在模型中自定义广义出行成本参考点,选择累积前景值最大的前景作为出行者最优决策.分别基于"期望效用最大化理论"和"累积前景理论"对通勤出行者在三种不同出行场景下进行仿真模拟,研究最优交通方式选择行为.研究结果表明:期望效用理论框架下,通勤出行者的交通方式选择行为不受出行场景的影响,累积前景理论更适用于出行方式选择行为的研究.构建以通勤出行时间价值为核心变量的交通方式选择模型,可帮助通勤出行者选择合理的交通方式,并为政府及相关部门制定交通管理规划和实施缓解交通拥堵政策提供依据.

Keyword :

通勤出行 通勤出行 交通方式 交通方式 累积前景理论 累积前景理论 时间价值 时间价值

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GB/T 7714 宗刚 , 曾庆华 , 魏素豪 . 基于时间价值的交通出行方式选择行为研究 [J]. | 管理工程学报 , 2020 , 34 (3) : 142-150 .
MLA 宗刚 et al. "基于时间价值的交通出行方式选择行为研究" . | 管理工程学报 34 . 3 (2020) : 142-150 .
APA 宗刚 , 曾庆华 , 魏素豪 . 基于时间价值的交通出行方式选择行为研究 . | 管理工程学报 , 2020 , 34 (3) , 142-150 .
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高速铁路、技术创新与经济高质量发展——实证检验与机制研究 CSSCI
期刊论文 | 2020 , 42 (12) , 1-14 | 山西财经大学学报
CNKI Cited Count: 6
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Abstract :

基于高速铁路影响经济高质量发展的理论框架,利用2005—2018年中国286个地级市的面板数据,使用F?re-promont指数法测算了城市经济高质量发展及其分解指标,并采用双重差分模型分析了高铁开通对经济高质量发展的影响效应及其传导机制。研究结果表明:高铁开通整体上显著促进了经济高质量发展,其影响路径为对技术效率的促进作用;高铁开通对不同城市经济高质量发展的影响存在异质性,其中,高铁对东部地区城市、大城市、沿海城市、非资源型城市、省会城市、高等级创新能力城市和高等级教育水平城市的促进作用尤为显著;技术创新是高铁开通影响经济高质量发展的重要传导渠道。

Keyword :

经济高质量发展 经济高质量发展 高铁开通 高铁开通 双重差分估计模型 双重差分估计模型 F?re-promont指数法 F?re-promont指数法 技术创新 技术创新

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GB/T 7714 宗刚 , 张雪薇 . 高速铁路、技术创新与经济高质量发展——实证检验与机制研究 [J]. | 山西财经大学学报 , 2020 , 42 (12) : 1-14 .
MLA 宗刚 et al. "高速铁路、技术创新与经济高质量发展——实证检验与机制研究" . | 山西财经大学学报 42 . 12 (2020) : 1-14 .
APA 宗刚 , 张雪薇 . 高速铁路、技术创新与经济高质量发展——实证检验与机制研究 . | 山西财经大学学报 , 2020 , 42 (12) , 1-14 .
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中国农业竞争力时空格局演化及其影响因素 CSCD CSSCI
期刊论文 | 2020 , 75 (06) , 1287-1300 | 地理学报
CNKI Cited Count: 6
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Abstract :

基于客观权重赋值法,从自然禀赋、流动投入、产出能力、设施机制4个维度构建指标体系,实证测算了2000—2016年中国29省农业竞争力,利用空间计量模型,剖析了中国农业竞争力时空演化规律及其影响因素,以期为制定针对性、差异化的农业竞争力提升政策提供理论支撑。结果表明:①中国农业竞争力呈上升趋势,并存在明显的空间自相关性特征,空间溢出强度呈倒"U"型变化趋势,流动投入、产出能力两项子竞争力呈上升趋势,资源禀赋相对稳定,设施机制波动上升;②东部省份农业竞争力异军突起,中西部省份不断下降,两级分化趋势明显,局域空间集聚格局以高—高和低—低集聚方式为主导,具有较强的稳定性与路径依赖性;③农民收入、居民消...

Keyword :

影响因素 影响因素 空间计量模型 空间计量模型 中国 中国 农业竞争力 农业竞争力 时空演化 时空演化

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GB/T 7714 魏素豪 , 李晶 , 李泽怡 et al. 中国农业竞争力时空格局演化及其影响因素 [J]. | 地理学报 , 2020 , 75 (06) : 1287-1300 .
MLA 魏素豪 et al. "中国农业竞争力时空格局演化及其影响因素" . | 地理学报 75 . 06 (2020) : 1287-1300 .
APA 魏素豪 , 李晶 , 李泽怡 , 宗刚 . 中国农业竞争力时空格局演化及其影响因素 . | 地理学报 , 2020 , 75 (06) , 1287-1300 .
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Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness EI CSCD CSSCI
期刊论文 | 2020 , 75 (6) , 1287-1300 | Acta Geographica Sinica
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Abstract :

Based on the objective-weight value-assigning method, by means of establishing one comprehensive index system from four dimensions, namely natural endowment, flow input, output capacity and facilities' mechanism, this paper makes a series of experimental tests on the actual agricultural competitiveness within the 29 provincial-level areas of China from 2000 to 2016. And with application of spatial measurement model, it also makes a profound analysis upon spatio-temporal evolving rules and factors influencing China's agricultural competitiveness in hope for offering certain theoretical supports for formulating a series of targeted and differentiated agricultural competitiveness upgrading policies in the near future. The results of analysis show that: (1) China's agricultural competitiveness, featured by obvious spatial auto-correlation, is on the rise. The spatial spillover intensity presents an inverted 'U-shaped' pattern. And the two sub-competitiveness indexes, namely flow input and output capacity, still keep on the upside. The overall resource endowment is relatively stable and the facilities' mechanism is witnessing a fluctuant increasing process. (2) The agricultural competitiveness in the central and western provinces continues to decline as that in the eastern provinces rises rapidly, which presents an apparent polarization. And the local-spatial clustering pattern is dominated by HH clustering mode and LL clustering mode with the characteristics of stronger stability and serious path dependency. (3) Multiple factors, including farmers' income, household-consuming level, economic basis, R&D input, planting structure and grain-variety selection, have direct effects on the spatio-temporal evolution of provincial agricultural competitiveness. At the same time, the above factors have indirect spillover effects on other provinces. (4) We should give full play of the current demonstration effect and diffusion effect brought by the agricultural competitiveness and related influencing factors to push future optimal allocation of agricultural resources, promote subsequent rational flow of the existing agricultural producing factors and plan finally-balanced development of agricultural competitiveness. © 2020, Science Press. All right reserved.

Keyword :

Agriculture Agriculture Agricultural robots Agricultural robots Competition Competition

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GB/T 7714 Wei, Suhao , Li, Jing , Li, Zeyi et al. Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness [J]. | Acta Geographica Sinica , 2020 , 75 (6) : 1287-1300 .
MLA Wei, Suhao et al. "Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness" . | Acta Geographica Sinica 75 . 6 (2020) : 1287-1300 .
APA Wei, Suhao , Li, Jing , Li, Zeyi , Zong, Gang . Spatio-temporal evolution and its influencing factors of China's agricultural competitiveness . | Acta Geographica Sinica , 2020 , 75 (6) , 1287-1300 .
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基于全要素生产率的重点产业核心竞争力分析——北京市2008—2017年数据的实证研究 CSSCI PKU
期刊论文 | 2019 , 39 (01) , 118-128 | 科技管理研究
CNKI Cited Count: 6
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Abstract :

以2008—2017年《北京市统计年鉴》《北京市国民经济和社会发展统计公报》《北京市第三次全国经济普查年鉴》的数据为样本,基于数据包络分析(DEA)模型的Malmquist生产力指数法,对北京市2008—2017年的全要素生产率进行测算,研究和分析其重点产业结构及竞争力。研究结果表明:在技术进步视角下,第三产业最具竞争力,第一产业具有较弱的产业竞争力;在纯技术效率视角下,第一产业由于生产规模快速扩大,导致管理混乱、企业效率降低;在规模效率视角下,继续扩大生产规模对第三产业和高新技术等行业的企业经济效益提高有促进作用,在发展第三产业时可加大基础设施建设,扩大生产和营业规模。

Keyword :

非参数 非参数 技术进步 技术进步 全要素生产率 全要素生产率 DEA-Malmquist指数 DEA-Malmquist指数 核心竞争力 核心竞争力

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GB/T 7714 曾庆华 , 宗刚 , 杨正东 . 基于全要素生产率的重点产业核心竞争力分析——北京市2008—2017年数据的实证研究 [J]. | 科技管理研究 , 2019 , 39 (01) : 118-128 .
MLA 曾庆华 et al. "基于全要素生产率的重点产业核心竞争力分析——北京市2008—2017年数据的实证研究" . | 科技管理研究 39 . 01 (2019) : 118-128 .
APA 曾庆华 , 宗刚 , 杨正东 . 基于全要素生产率的重点产业核心竞争力分析——北京市2008—2017年数据的实证研究 . | 科技管理研究 , 2019 , 39 (01) , 118-128 .
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A Mixture Approach with Some Bayesian Models: Application to Determine Effective Variables of Fiscal and Monetary Policy on Economic Growth CPCI-S CPCI-SSH
会议论文 | 2019 , 33-39 | 10th International Conference on E-Business, Management and Economics (ICEME)
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Abstract :

In this paper, we estimated affecting and important variables of fiscal and monetary policy on economic growth with comparing 3 models (BMA), (DMA) and (DMS) base on accuracy review of estimate model (MSFA), (MAFA). We have understood (BMA) model is an optimal model due to lower prediction error indicators that have shown in table [1]. So we identified the most important and affecting variables on economic growth with considering 62 indicators base on empirical data for determining affecting variables on economic growth, that with using BMA model. By doing the calculations and investigating the effect of 62 factors that have been effective in empirical studies on economic growth, it has been determined that the effect of 11 variables will be meaningful and these variables have always retained their effect, and in the presence of other variables, they have retained their effect. These variables are determined according to the posterior probability (i.e., the highest importance in explaining the economic growth and in other words the most likely to be present in the model). Capital Investment(K), Employment(L), Liquidity(M), Interest Rate(R), Inflation Rate(P), Government Expenditure(G), Balance of Payments (BP), Taxes(T), Oil Revenues (Troil), Gini Coefficient (Gni) and Saving Rate (S) are the affecting and important variables of fiscal and monetary policy on economic growth.

Keyword :

DMA Model DMA Model Monetary Policy Monetary Policy DMS Model DMS Model BMA Model BMA Model Economic Growth Economic Growth

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GB/T 7714 Amiri, Asemeh Gholamrezapour , Gang, Zong , Mazinani, Alireza . A Mixture Approach with Some Bayesian Models: Application to Determine Effective Variables of Fiscal and Monetary Policy on Economic Growth [C] . 2019 : 33-39 .
MLA Amiri, Asemeh Gholamrezapour et al. "A Mixture Approach with Some Bayesian Models: Application to Determine Effective Variables of Fiscal and Monetary Policy on Economic Growth" . (2019) : 33-39 .
APA Amiri, Asemeh Gholamrezapour , Gang, Zong , Mazinani, Alireza . A Mixture Approach with Some Bayesian Models: Application to Determine Effective Variables of Fiscal and Monetary Policy on Economic Growth . (2019) : 33-39 .
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