中国东、中、西部城镇化对经济增长的贡献

中国城镇化率的地区差异较大,东部较高,西部较低,中部居中;改革开放以来全国各地区的城镇化率都有大幅度的提高,但提高幅度的地区差异也较明显,东部地区提高幅度较大,西部地区提高幅度较小,中部地区提高幅度居中.各地区城镇化推动经济增长的作用是显著的;东、中、西部三大地区中,城镇化对经济增长的贡献率依次为西部、中部和东部,同经济发展水平的顺序恰好相反.因此,继续加快中、西部地区的城镇化进程,有助于缩小地区差距.     

我国股改中权证的价格泡沫及影响因素

本文针对我国股改中的百慕大权证提出了新的“模拟树-市场情绪”定价模型。该模型的实证研究结果表明中国权证市场价格存在严重高估;加入市场情绪指标后,通过建立多元回归模型得到了对于实际价格的显著的拟合结果,有力地解释了超出权证理论价格的实际价格所包含的情绪因素。本文最后对权证价格高估的原因及权证未来的走势进行了分析。     

GDP质量的系统分析与改善对策——以甘肃省为例

GDP已经成为世界公认的衡量经济增长速度的指标,但它只是单纯从数量上反映经济增长。GDP外部质量特征主要体现在年平均发展速度、年地区发展的离散系数上;内部质量特征则包括支出法构成、收入法构成、三次产业构成、要素的贡献率、能源和原材料消耗等方面。应综合GDP的内部质量指标和外部质量指标编制GDP综合质量指标评价体系,弥补单一GDP指标的不足。     

How does news sentiment affect the states of Japanese stock return volatility?

This paper examines the impact of public news sentiment on the volatility states of firm-level returns on the Japanese Stock market. We firstly adopt a novel Markov Regime Switching Long Memory GARCH (MRS-LMGARCH), which is employed to estimate the latent volatility states of intraday stock return. By using the RavenPack Dow Jones News Analytics database, we fit discrete choice models to investigate the impact of news sentiment on changes of volatility states of the constituent stocks in the TOPIX Core 30 Index. Our findings suggest that news occurrence and sentiment, especially those of macro-economic news, are a key factor that significantly drives the volatility state of Japanese stock returns. This provides essential information for traders of the Japanese stock market to optimize their trading strategies and risk management plans to combat volatility.     

Regional, national, and spatially explicit scenarios of demographic and economic change based on SRES

We report here spatially explicit scenario interpretations for population and economic activity (GDP) for the time period 1990 to 2100 based on three scenarios (A2, B1, and B2) from the IPCC Special Report on Emissions Scenarios (SRES). At the highest degree of spatial detail, the scenario indicators are calculated at a 0.5 by 0.5 degree resolution. All three scenarios follow the qualitative scenario characteristics, as outlined in the original SRES scenarios. Two scenarios (B1 and B2) also follow (with minor adjustments due to scenario improvements) the original SRES quantifications at the level of 4 and 11 world regions respectively. The quantification of the original SRES A2 scenario has been revised to reflect recent changing perceptions on the demographic outlook of world population growth. In this revised “high population growth” scenario, A2r world population reaches some 12 billion by 2100 (as opposed to some 15 billion in the original SRES A2 scenario) and is characterized by a “delayed fertility transition” that is also mirrored in a delayed (economic) development catch-up, resulting in an initially stagnating and subsequently only very slow reduction in income disparities. The spatially explicit scenario interpretation proceeds via two steps. Through a combination of decomposition and optimization methods, world regional scenario results are first disaggregated to the level of 185 countries. In a subsequent second step, national results are further disaggregated to a grid cell level, taking urbanization and regional (rural–urban) income disparities explicitly into account. A distinguishing feature of the spatially explicit scenario results reported here is that both methodologies, as well as numerical assumptions underlying the “downscaling” exercise, are scenario-dependent, leading to distinctly different spatial patterns of population and economic activities across the three scenarios examined.     

An Eclectic Approach to Estimating U.S. Potential GDP

Rennison (Comparing alternative output gap estimations: a Monte Carlo approach, 2003) has provided simulation-based evidence showing that the joint use of extended multivariate filters and structural vector autoregression models is optimal for estimating potential output. We use this approach to estimate the two components of potential GDP: the full-employment labour input and trend labour productivity. This decomposition is useful for identifying sources of fluctuations in potential output. It reveals, for example, that the vigorous growth rate of U.S. potential GDP recorded during the second half of the 1990s is attributable to a fall in the structural rate of unemployment and a marked upswing in trend productivity growth.     

云南GDP的灰色预测和分析

文章通过建立灰色系统理论建立预测模型,结合云南省过去几年的GDP的数值,预测未来几年云南省GDP的发展状况,为政府管理部门,以及其他经济部门的决策提供科学依据,并对预测结果进行评价。     

"上证"A股市场情绪的关键影响因素

文章从投资者认知偏误视角,研究提出了"上证"A股市场情绪的四维量表,系统整合了18个关键影响因素,形成中国证券市场情绪的关键影响因素概念模型.采用"上证"A股市场中152家企业的调研数据,进行验证性因子分析和拟合优度检验.结果表明,12个理论因素按预期模式加载,形成了认知偏误、有限套利、交互传染和本土特性等四个维度,对认识中国证券投资者的决策行为具有一定指导意义.     

中国国内生产总值与教育之间关系的实证分析

本文从柯布-道格拉斯生产函数入手,将劳动力按受教育程度划分为四类分别进行处理。主要就中国国内生产总值(GDP)与各等教育程度劳动力和投资之间关系进行单整和协整检验,并建立误差修正模型(ECM),然后在协整条件下对各等教育程度劳动力与GDP的长、短期关系进行分析。文章的实证结果将为我国有关部门的政策决策提供有力依据。     

中国GDP最终消费的长期均衡与短期波动的协整分析

本文依据协整理论和误差修正模型 ,测定了我国GDP最终消费与国内生产总值、价格水平及利率之间的长期均衡关系和短期波动效应 ,并对当前消费需求疲软做出了新的解释