民间传说与文献记载的关联：以巫山神女传说为例

现有文献中有关巫山神女的记载较多,三峡地区也有不少关于神女传说的版本,只是其与文献记载的神女故事情节相差甚远。民众在创作民间传说时,会根据具体的自然环境、社会伦理道德要求、自身的价值观、主流社会的需要以及文化传播等多种因素,完成传说情节的塑造。     

十一世纪太湖地区的水利与水学

从10世纪到11世纪,太湖以东地区农业开发加快,交通拓展,水环境迅速变化。由于宋廷以漕运和围垦利益为要,综合治水工程难以实施。水利学说在官方治水事业推动下得到发展。一部分有识官员和水利学家托古改制,塑造并推崇吴越国高低兼治的塘浦大圩农田水利格局,试图走出困境。11世纪中叶,圩田开发开始关乎地方官员的考成,水利学说再次兴起。     

中国商品流通现代化的模糊综合评价研究

完善了商品流通现代化指标体系,并运用模糊综合法将商品流通现代化指标转换成了指数。研究发现商品流通现代化水平与其区域位置、总体经济实力密切相关,且受到产业结构的影响。同时,通过基于指数的聚类分析得到如下结论:"率先发展型区域"要抓住历史机遇,培养创新型人才,保持领先地位;"积极追赶型区域"要发挥地理优势,打破省之间、行业和部门之间、所有制之间的界限,积极参与各种区域经济合作;"流通欠发达型区域"要进一步推进和实施西部大开发战略,推进物流现代化。     

生命信息的交融互渗——中国花鸟画审美初探

自然界的有生命之物,以其不同的形状、色彩、气息和动静之态,而有着不同的审美价值.它们的美是生命之美.中国花鸟画不以再现自然对象的外形为目的,而以思想、情感、意趣等生命现象的高级形式反映在作品中.作者根据主观的审美理想和自我生命的节律加以重新创造,使其固定为物化状态,给人以美的滋养.     

新疆能源强度变动的影响因素探析

本文采用Refined Laspeyres指数分解模型，对1985～2005年新疆能源强度进行分解，寻求新疆能源强度变动的主要影响因素。实证结果显示，工业部门内部能源强度改进是新疆能源利用效率提高的主因，而产业结构变动并未对其产生积极的影响。此外，工业部门能源强度的改进主导了新疆能源利用效率改进的强度效应。重工业行业内部能源强度的改进扭转了其比重上升对能源利用效率的不利影响，使得新疆工业部门能源利用效率提升。     

川南都掌蛮铜鼓文化探讨

在历史上拥有巨量铜鼓的川南都掌蛮 ,既是铜鼓的使用者 ,又是铜鼓的铸造者和铜鼓文化的原创者。都掌蛮铜鼓在使用、流传过程中 ,充分发挥了伴歌节舞、媚事鬼神和夸富显贵、集众征战的社会功能 ,铜鼓是都掌蛮的神灵之物 ,也是财富与权力的象征。都掌蛮铜鼓文化与悬棺葬俗交融渗透、融为一体 ,不仅极大地丰富了铜鼓文化的内涵 ,更从本质上表现出铜鼓文化是都掌蛮古老民族文化的重要特征     

Identifying Latent Structures in Panel Data

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using penalized techniques. We consider both linear and nonlinear models where the regression coefficients are heterogeneous across groups but homogeneous within a group and the group membership is unknown. Two approaches are considered—penalized profile likelihood (PPL) estimation for the general nonlinear models without endogenous regressors, and penalized GMM (PGMM) estimation for linear models with endogeneity. In both cases, we develop a new variant of Lasso called classifier‐Lasso (C‐Lasso) that serves to shrink individual coefficients to the unknown group‐specific coefficients. C‐Lasso achieves simultaneous classification and consistent estimation in a single step and the classification exhibits the desirable property of uniform consistency. For PPL estimation, C‐Lasso also achieves the oracle property so that group‐specific parameter estimators are asymptotically equivalent to infeasible estimators that use individual group identity information. For PGMM estimation, the oracle property of C‐Lasso is preserved in some special cases. Simulations demonstrate good finite‐sample performance of the approach in both classification and estimation. Empirical applications to both linear and nonlinear models are presented.     

Modal non‐linear regression in the presence of Laplace measurement error

In this paper, we propose a robust estimation procedure for a class of non‐linear regression models when the covariates are contaminated with Laplace measurement error, aiming at constructing an estimation procedure for the regression parameters which are less affected by the possible outliers, and heavy‐tailed underlying distribution, as well as reducing the bias introduced by the measurement error. Starting with the modal regression procedure developed for the measurement error‐free case, a non‐trivial modification is made so that the modified version can effectively correct the potential bias caused by measurement error. Large sample properties of the proposed estimate, such as the convergence rate and the asymptotic normality, are thoroughly investigated. A simulation study and real data application are conducted to illustrate the satisfying finite sample performance of the proposed estimation procedure.     

境内外人民币汇率影响研究——基于香港离岸市场双重功能分析的视角

利用2014年8月1日-2015年4月17日的人民币即期汇率和香港离岸汇率数据,基于VAR模型,研究了香港离岸市场对境内外人民币汇率影响的方向及其经济后果.研究发现,在样本期间内,人民币离岸汇率贬值而在岸即期汇率却在升值;离岸汇率波动幅度显著大于在岸即期汇率.汇率的影响方向为离岸市场向在岸市场传递.研究结论对于评估离岸市场对人民币汇率的影响,防范人民币国际化对境内经济冲击风险以及加强离岸市场监管具有重要启示.     

Diagnostics in elliptical regression models with stochastic restrictions applied to econometrics

We propose an influence diagnostic methodology for linear regression models with stochastic restrictions and errors following elliptically contoured distributions. We study how a perturbation may impact on the mixed estimation procedure of parameters in the model. Normal curvatures and slopes for assessing influence under usual schemes are derived, including perturbations of case-weight, response variable, and explanatory variable. Simulations are conducted to evaluate the performance of the proposed methodology. An example with real-world economy data is presented as an illustration.