我国居民消费结构的趋势分析

采用“双对数模型”对我国城乡居民的消费结构进行了趋势分析,通过“聚类分析”对我国各省市居民消费结构之间的异同进行考察并作比较研究,总结出了我国居民消费呈现富裕型、娱乐教育文化服务类消费攀升的趋势特点。     

芯钢管混凝土节点的芯管壁厚与节点承载力关系的数值分析

对一种已经通过试验研究的钢管混凝土结构的新型节点进行数值分析。这种节点将钢管混凝土柱的钢管在节点区间断,在节点区设置芯钢管,使梁中的纵筋在节点中直通、梁与节点区混凝土成为一体可靠的传递梁中的弯矩、剪力及轴力。本文利用数值分析弥补模型试验数量少的缺陷。选择不同芯钢管壁厚的节点模型进行非线性有限元分析,得出芯钢管壁厚对节点承载力的影响规律。分析结果表明芯钢管壁厚是影响节点承载力的主要因素之一。     

Bayesian assessment of dimensionality in reduced rank regression

We consider Bayesian inference about the dimensionality in the multivariate reduced rank regression framework, which encompasses several models such as MANOVA, factor analysis and cointegration models for multiple time series. The fractional Bayes approach is used to derive a closed form approximation to the posterior distribution of the dimensionality and some asymptotic properties of the approximation are proved. Finite sample properties are studied by simulation and the method is applied to growth curve data and cointegrated multivariate time series.     

A functional time series analysis of forward curves derived from commodity futures

We study forward curves formed from commodity futures prices listed on the Standard and Poor’s-Goldman Sachs Commodities Index (S&P GSCI) using recently developed tools in functional time series analysis. Functional tests for stationarity and serial correlation suggest that log-differenced forward curves may be generally considered as stationary and conditionally heteroscedastic sequences of functions. Several functional methods for forecasting forward curves that more accurately reflect the time to expiry of contracts are developed, and we found that these typically outperformed their multivariate counterparts, with the best among them using the method of predictive factors introduced by Kargin and Onatski (2008).     

农村居民消费结构变动的时序分析——以河北省为例

基于中国经济增长模式正在向消费主导型转变,以农村居民的生活消费作为研究重点,选择河北省作为研究区域,通过1993～2008年的时间序列数据对该区域农村居民的消费结构进行统计分析,意图探寻在相对发达的农村地区如何进一步优化农村消费结构,找到扩大农村消费市场的有效途径,从而促进经济的协调发展,为新农村的建设提供政策建议。     

基于农村居民最低养老水平的财政支付能力研究

基于农村居民现实最低养老需求,对我国财政的养老补贴支付能力进行测算分析。以修正恩格尔系数为基础测度了农村居民最低养老保险水平,并依据农村恩格尔系数及物价指数的历史变动趋势,预测了2010-2020年农村最低养老动态水平;利用财政收入规模的自回归模型预测了2010-2020年的财政收入规模,结合普惠型养老金总额应为财政收入的5%国际经验,对基本养老金以及最低养老需求占财政收入的比重进行了测算和评价。目前的基本养老金在短期内对改善农村老年人生活有重要作用,但长期来看还需要不断增加,应优化财政支出结构。     

基于农村居民最低养老水平的财政支付能力研究

基于农村居民现实最低养老需求,对我国财政的养老补贴支付能力进行测算分析。以修正恩格尔系数为基础测度了农村居民最低养老保险水平,并依据农村恩格尔系数及物价指数的历史变动趋势,预测了2010-2020年农村最低养老动态水平;利用财政收入规模的自回归模型预测了2010-2020年的财政收入规模,结合普惠型养老金总额应为财政收入的5%国际经验,对基本养老金以及最低养老需求占财政收入的比重进行了测算和评价。目前的基本养老金在短期内对改善农村老年人生活有重要作用,但长期来看还需要不断增加,应优化财政支出结构。     

Government intervention,sectoral productivity growth and structural transformation

This article examines the long-term impact of government intervention and sectoral productivity on structural transformation. We construct a multi-sector Dynamic General Equilibrium model that explicitly incorporates government intervention as a force of structural transformation. The government affects the economy through taxation and lump sum transfers. We show that in the steady state, a reduction in the tax rate and an increase in sectoral productivity will decrease the agricultural employment share, and when nonhomotheticity of preference is strong enough, these changes can also increase the share of services employment.     

A review of experience curve analyses for energy demand technologies

Transitioning towards a sustainable energy system requires the large-scale introduction of novel energy demand and supply technologies. Such novel technologies are often expensive at the point of their market introduction but eventually become cheaper due to technological learning. In order to quantify potentials for price and cost decline, the experience curve approach has been extensively applied to renewable and non-renewable energy supply technologies. However, its application to energy demand technologies is far less frequent. Here, we provide the first comprehensive review of experience curve analyses for energy demand technologies. We find a widespread trend towards declining prices and costs at an average learning rate of 18 ± 9%. This finding is consistent with the results for energy supply technologies and for manufacturing in general. Learning rates for individual energy demand technologies are symmetrically distributed around the arithmetic mean of the data sample. Absolute variation of learning rates within individual technology clusters of 7 ± 4%-points and between technology clusters of 7 ± 5%-points both contribute to the overall variability of learning rates. Our results show that technological learning is as important for energy demand technologies as it is for energy supply technologies. Applying the experience curve approach to forecast technology costs involves, however, unresolved uncertainties, as we demonstrate in a case study for the micro-cogeneration technology.     

THE DYNAMIC PROPERTIES OF ALTERNATIVE ASSUMPTIONS ON PRICE ADJUSTMENT IN NEW KEYNESIAN MODELS

This paper presents a classification of the different new Phillips curves existing in the literature as a set of choices based on three assumptions: the choice of the structure of price adjustments (Calvo or Taylor), the presence of backward indexation and the type of price contracts (fixed prices or predetermined prices). The paper suggests study of the dynamic properties of each specification, following different monetary shocks on the growth rate of the money stock. We develop the analytical form of the price dynamics, and we display graphics for the responses of prices, output and inflation. We show that the choice made for each of the three assumptions has a strong influence on the dynamic properties. Notably, the choice of the price structure, while often considered as unimportant, is indeed the most influential choice concerning the dynamic responses of output and inflation.