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摘要 ：
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.
关键词 ：
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 等. "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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摘要 ：
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
关键词 ：
产业结构变迁 产业结构变迁 劳动生产率 劳动生产率 生产性服务业集聚 生产性服务业集聚 高铁开通 高铁开通
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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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摘要 ：
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...
关键词 ：
中国 中国 农业竞争力 农业竞争力 影响因素 影响因素 时空演化 时空演化 空间计量模型 空间计量模型
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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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摘要 ：
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.
关键词 ：
Economic growth Economic growth Healthcare expenditure Healthcare expenditure Spatial Durbin model Spatial Durbin model
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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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摘要 ：
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.
关键词 ：
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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摘要 ：
本文运用社会网络分析方法,刻画了中国城市群创新空间关联网络的关系,并对创新网络空间结构特征进行深入探讨,基于QAP模型检验了可达性、经济集聚和科研投入等因素与创新空间关联网络结构特征的关系.结果 显示:中国城市群创新空间关联网络呈现关联性、稳定性、等级性等特征,各个城市在创新空间关联网络中占据不同的地位,可以归为“经济人”、“双向溢出”、“受益”三种聚类板块;地理空间邻近效应、可达性、经济集聚和科研投入是影响创新网络关联的主要因素,可以借助创新呈现的溢出效应来因地制宜地制定创新战略规划,并实现创新空间联动.
关键词 ：
创新网络 创新网络 社会网络 社会网络 QAP模型 QAP模型 引力模型 引力模型
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| GB/T 7714 | 张雪薇 , 宗刚 , 赵蓉 . 高铁时代中国城市群创新空间相关性研究——基于空间关联网络格局的分析 [J]. | 价格理论与实践 , 2019 , (7) : 140-143 . |
| MLA | 张雪薇 et al. "高铁时代中国城市群创新空间相关性研究——基于空间关联网络格局的分析" . | 价格理论与实践 7 (2019) : 140-143 . |
| APA | 张雪薇 , 宗刚 , 赵蓉 . 高铁时代中国城市群创新空间相关性研究——基于空间关联网络格局的分析 . | 价格理论与实践 , 2019 , (7) , 140-143 . |
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摘要 ：
本文利用全局空间自相关和局部空间自相关分析的方法,对2008年-2016年北京市16个区县入境旅游收入的空间自相关进行分析.结果表明,2008年-2016年北京市入境旅游收入存在空间集聚的正相关,但是集聚程度不显著.另外,根据北京市16个区县入境旅游收入局部空间自相关指数表明,局部空间相关性存在于第一象限、第二象限和第三象限,第四象限不存在局部空间相关性,且主要为低-低形态,高-高形态集聚形态存在显著地递减趋势,局部空间的效应不显著.
关键词 ：
入境旅游 入境旅游 北京 北京 空间自相关 空间自相关
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| GB/T 7714 | 宗刚 , BUI THI THANH . 北京入境旅游收入的空间自相关研究 [J]. | 现代商业 , 2019 , (7) : 75-77 . |
| MLA | 宗刚 et al. "北京入境旅游收入的空间自相关研究" . | 现代商业 7 (2019) : 75-77 . |
| APA | 宗刚 , BUI THI THANH . 北京入境旅游收入的空间自相关研究 . | 现代商业 , 2019 , (7) , 75-77 . |
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摘要 ：
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.
关键词 ：
BMA Model BMA Model DMA Model DMA Model DMS Model DMS Model Economic Growth Economic Growth Monetary Policy Monetary Policy
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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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摘要 ：
In recent years, China has accelerated its urbanization and industrialization processes. The traditional extensive economic growth mode of high investments, high energy consumption, and high emissions has brought irreversible negative impacts on the ecological environment. Environmental regulation can promote necessary changes in the industrial structure and improve economic structure by eliminating the negative externalities of environmental pollution and enhancing social welfare. With time series data of Beijing from 1998 to 2017, the mechanism and impact of environmental regulations on industrial structure were analysed using cointegration analysis and Granger causality test. Results show that environmental regulations can effectively realize industrial structure upgrading by inhibiting the development of high-pollution enterprises, accelerating the development of the service industry, promoting the environmental protection of enterprise production technology, and promoting the optimization of investment structures. Thus, a long-term and positive equilibrium relationship between industrial structure upgrading and environmental regulation in Beijing can be achieved. The investment in industrial pollution control per unit can drive the growth of the tertiary industry’s added value by 0.017 units. The completion of industrial pollution control investment is the one-way Granger reason for the tertiary industry’s added value to the proportion of gross domestic product. The conclusions have a certain reference value for finding out the intensity of environmental regulation in promoting Beijing’s industrial structure optimization and realizing the transformation of economic structure and coordinated development of ecological civilization construction. © 2019 Technoscience Publications. All Rights Reserved.
关键词 ：
Digital storage Digital storage Economic and social effects Economic and social effects Energy utilization Energy utilization Environmental regulations Environmental regulations Environmental technology Environmental technology Industrial economics Industrial economics Investments Investments Pollution control Pollution control Service industry Service industry Structural optimization Structural optimization Time series analysis Time series analysis
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| GB/T 7714 | Zhang, Lili , Zong, Gang . Functional mechanism and cointegration relation of environmental regulations on industrial structure upgrading in Beijing, China [J]. | Nature Environment and Pollution Technology , 2019 , 18 (1) : 251-259 . |
| MLA | Zhang, Lili et al. "Functional mechanism and cointegration relation of environmental regulations on industrial structure upgrading in Beijing, China" . | Nature Environment and Pollution Technology 18 . 1 (2019) : 251-259 . |
| APA | Zhang, Lili , Zong, Gang . Functional mechanism and cointegration relation of environmental regulations on industrial structure upgrading in Beijing, China . | Nature Environment and Pollution Technology , 2019 , 18 (1) , 251-259 . |
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摘要 ：
This article selects 2000-2016 panel data of 31 provinces and cities in China, a dynamic space durbin model to explore the traffic infrastructure influence on inclusive economic growth, this study adopts the method of nonparametric measure inclusive growth that is total factor productivity (TFP), the results show that there is significant 'Time inertia' and 'space spillover' effect, Transportation infrastructure has significant positive spatial correlation. The relationship between highway infrastructure and inclusive economic growth is 'inverted U', which will promote the inclusive economic growth of this province. The influence of railway infrastructure on inclusive economic growth shows marginal increasing effect, and it also has positive spillover effect on inclusive economic growth of neighboring provinces. The conclusion of the study has important policy implications for China to increase investment in transportation infrastructure and promote inclusive economic growth in China. © 2019 ACM.
关键词 ：
Economic analysis Economic analysis Economic and social effects Economic and social effects Electronic commerce Electronic commerce Investments Investments Public policy Public policy Railroad transportation Railroad transportation
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| GB/T 7714 | Zhang, Xuewei , Zong, Gang . Transport infrastructure, spatial connectivity and inclusive economic growth: An empirical study based on the dynamic spatial durbin model [C] . 2019 : 67-73 . |
| MLA | Zhang, Xuewei et al. "Transport infrastructure, spatial connectivity and inclusive economic growth: An empirical study based on the dynamic spatial durbin model" . (2019) : 67-73 . |
| APA | Zhang, Xuewei , Zong, Gang . Transport infrastructure, spatial connectivity and inclusive economic growth: An empirical study based on the dynamic spatial durbin model . (2019) : 67-73 . |
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