How to Evaluate Government Performance while Building a Rule of Law Government in China*

Building a law-based government is a central element of the comprehensive framework for promoting the rule of law in China, while using evaluation to catalyze growth is in line with the incentive principle of management studies. Since China started to implement reform and opening up over thirty years ago, rule of law development and organizational evaluation have gone through several stages, each with different characteristics. Efforts to build a law-based government have met with success, but what the country now has is essentially still goal-oriented assessment. At present, this suffers from the lack of a clear goal orientation or definition of functions, an imperfect technical system and unsound motivation mechanisms, not to mention the practical problems of each government department going its own way, duplicating evaluations or being left rudderless. Drawing on a combination of value rationality and instrumental rationality and using government performance evaluation to promote the building of a law-based government not only conforms to the spirit of the rule of law and value rationality in government performance, but also strengthens the role of evaluation as an instrument for organizational management. Therefore, we need to create new evaluation theories, expand public participation, introducing diversified evaluating entities, improve technical systems, strengthen institutional buildup, and foster a performance-based culture. In addition, replacing goal-oriented assessment with performance evaluation will help the emergence of a new discipline—the performance evaluation of rule of law government, thus promoting multidisciplinary efforts to integrate and create new public administration theories in China.     

地方政府审计职能软化问题研究

政府审计是对权力的监督和制约,现阶段,我国地方政府审计面临的发展困境主要是审计职能软化问题,针对地方政府审计存在的主要问题,剖析原因,从多角度提出解决审计职能软化的对策。     

试论中国政府形象构建的路径选择——以全球化为背景

良好的政府形象是政府巩固统治合法性的基础,是社会稳定和发展的必要条件,也是政府赢得国际良好声誉的保障。在全球化背景下,政府形象本身所承载的价值也被提升和扩展到全球,因此政府形象构建面临着前所未有的压力和挑战。就我国政府形象构建而言,应进一步增强形象塑造意识,着力构建能力型政府和开放型透明政府,以构建起理想的政府形象体系。     

河北省高校周边文化圈建设研究

建设河北特色文化大省，实现文化大发展、大繁荣，是时代的课题。高校和地方文化各自独立发展，缺乏竞合的现状是制约河北文化发展的一个难题。高校周边文化圈建设是解决这一难题、建设文化特色大省的有效途径，河北省政府牵头，协调高校，以地方文化为主体，采取以点带面的形式，逐步实现文化圈的建设。     

中华武术散打之局部力量与整体力量解读

散打之力量是散打运动中除运动技术等要素外,非常重要的另一要素,散打之力量在运动中表现出两个方面的应用,即散打之局部力量和整体力量;散打之局部力量和整体力量在比赛中交替展现,正是由于散打之局部力量和整体力量的不停变换使用及不同情况下各种力量共同作用,运动员才能在比赛中赢得胜利。散打之局部力量与整体力量的科学应用与训练不仅塑造了练习者完美的运动身形,而且培养了个人不凡的运动气质,是一项完美的体育运动。     

汉代政府公务“招募”活动研究

汉代社会中广泛存在着雇佣关系,此种关系也被汉政府以＂招募＂的形式大量利用。除募兵外,汉政府在许多经济、政治活动中采用了＂招募＂的形式,像募凶杀人、募人出使、募人除害等。其薪酬除金钱给付外,还有封王赐爵、赐田宅、赦免罪行等。其有着自己的特点,如带有强制性、种类多样化、报酬多元性及非等价性、主体范围特别大。它们保证了政务活动的顺利实施,加强了社会的稳定,促进了社会经济的发展,优化了社会资源的配置。     

Local estimation for varying-coefficient models with longitudinal data

Varying-coefficient models are very useful for longitudinal data analysis. In this paper, we focus on varying-coefficient models for longitudinal data. We develop a new estimation procedure using Cholesky decomposition and profile least squares techniques. Asymptotic normality for the proposed estimators of varying-coefficient functions has been established. Monte Carlo simulation studies show excellent finite-sample performance. We illustrate our methods with a real data example.     

Confidence distributions applied to propagating uncertainty to inference based on estimating the local false discovery rate: A fiducial continuum from confidence sets to empirical Bayes set estimates as the number of comparisons increases

Empirical Bayes estimates of the local false discovery rate can reflect uncertainty about the estimated prior by supplementing their Bayesian posterior probabilities with confidence levels as posterior probabilities. This use of coherent fiducial inference with hierarchical models generates set estimators that propagate uncertainty to varying degrees. Some of the set estimates approach estimates from plug-in empirical Bayes methods for high numbers of comparisons and can come close to the usual confidence sets given a sufficiently low number of comparisons.     

Piecewise FARIMA models for long-memory time series

We consider the problem of modelling a long-memory time series using piecewise fractional autoregressive integrated moving average processes. The number as well as the locations of structural break points (BPs) and the parameters of each regime are assumed to be unknown. A four-step procedure is proposed to find out the BPs and to estimate the parameters of each regime. Its effectiveness is shown by Monte Carlo simulations and an application to real traffic data modelling is considered.     

Local logisitic regression an application to army penetration data

There have been a number of procedures used to analyze non-monotonic binary data to predict the probability of response. Some classical procedures are the Up and Down strategy, the Robbins–Monro procedure, and other sequential optimization designs. Recently, nonparametric procedures such as kernel regression and local linear regression (llogr) have been applied to this type of data. It is a well known fact that kernel regression has problems fitting the data near the boundaries and a drawback with local linear regression is that it may be “too linear” when fitting data from a curvilinear function. The procedure introduced in this paper is called local logistic regression, which fits a logistic regression function at each of the data points. An example is given using United States Army projectile data that supports the use of local logistic regression when analyzing non-monotonic binary data for certain response curves. Properties of local logistic regression will be presented along with simulation results that indicate some of the strengths of the procedure.