中日韩自由贸易区的贸易流量和福利效应分析:一个局部均衡的校准方法

校准方法作为一种确定数理经济模型中的变量和参数的手段之一,在贸易政策的建模研究中得到广泛的应用.本文以局部均衡为基础,利用中日韩三国自1990～2003年共14年的贸易额及相关数据建立校准模型,并对拟议中的中日韩自由贸易区做出比较静态分析,从产业层面来模拟中日韩自由贸易区建成后所可能带来的福利效应.分析结果表明,中日韩三国建立自由贸易区会增加彼此的国民福利水平,并会对未加入贸易协定的其他东亚国家产生影响.因此,在东亚形成更为广泛的自由贸易安排从区域合作的角度来看是一种更佳的合作方式.     

Performance Measurement in Government Service Provision: The Case of Police Services in New South Wales

The NSW Government is implementing a financial framework which is designed to encourage government service providers to become more efficient and effective. NSW Treasury is using Data Envelopment Analysis (DEA) to measure the efficiency of major government service providers, such as police, courts and hospitals. This paper outlines the progress in implementing the new financial framework and illustrates the way NSW Treasury will use DEA to help improve the efficiency of government service providers by describing an analysis of the NSW Police Service. The results suggest that NSW police patrols (local police districts) could, on average, reduce input usage by 13.5 percent through better management, and by 6 percent if the patrols could be restructured to achieve the optimal scale. Results also indicate that differences in operating environments, such as location and socioeconomic factors, do not have a significant influence upon the efficiency of police patrols.     

Applying efficiency measurement techniques to the measurement of productivity change

Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has.     

A monetary business cycle model with unemployment

To reproduce key features of the post-war U.S. data, most monetary business cycle models must assume there are high price markups and that agents have high labour supply elasticities despite the existence of contradictory microeconomic evidence. This paper eliminates the need for these assumptions by introducing imperfectly observed effort into a limited participation model. The estimated model is better able to capture the sluggish price response to a monetary policy shock than the standard model, and is consistent with evidence regarding the qualitative responses of the U.S. economy to technology shocks, fiscal policy shocks and monetary policy shocks.     

Nonparametric efficiency analysis: A multivariate conditional quantile approach

This paper focuses on nonparametric efficiency analysis based on robust estimation of partial frontiers in a complete multivariate setup (multiple inputs and multiple outputs). It introduces α-quantile efficiency scores. A nonparametric estimator is proposed achieving strong consistency and asymptotic normality. Then if α increases to one as a function of the sample size we recover the properties of the FDH estimator. But our estimator is more robust to the perturbations in data, since it attains a finite gross-error sensitivity. Environmental variables can be introduced to evaluate efficiencies and a consistent estimator is proposed. Numerical examples illustrate the usefulness of the approach.     

出口贸易的后向链接溢出效应——基于中国制造业数据的实证研究

本文利用我国1996~2003年17个制造业对16个OECD国家的出口贸易面板数据以及1997年和2002年的投入产出表,实证检验了我国出口贸易企业的水平链接溢出效应和后向链接溢出效应。结果表明,我国出口贸易企业通过向上游产业的非出口部门企业购买中间产品和服务产生了积极的后向链接溢出效应,而出口贸易企业的水平链接溢出效应并不明显。进一步的研究发现,我国制造业出口贸易的后向链接溢出主要来自于对美国和其他14个OECD国家的出口贸易企业。     

共同富裕、贸易开放与中国的代际收入流动性

本文利用2002-2018年期间的中国家庭收入调查数据,系统考察了贸易开放对中国代际收入流动性的影响及其作用机制。研究结果表明:(1)从整体上来看,贸易开放显著促进了中国的代际收入流动性,经内生性处理和稳健性检验,这一结论是成立的。(2)贸易开放主要通过促进子代教育、职业向上流动显著提高代际收入流动,但通过激励企业创新、提高子代个人努力程度的两个机制作用不显著。(3)贸易开放显著提高了男性子代的代际收入流动性,对女性子代的影响不显著,与此同时,还具有明显的“弱势群体”特点,显著提高了受教育水平较低子代、低收入家庭子代的代际收入流动性,有助于这类子代跳出“代际低收入传承陷阱”。本文研究提示贸易开放提高了中国的代际收入流动性,有利于促进共同富裕。在继续提高贸易开放水平的同时,应进一步重视提高低收入家庭子代的受教育水平,关注女性子代的收入问题。     

我国社会保障制度的公平与效率选择

社会保障制度是社会经济稳步、持续、高效发展 ,人民生活安定、安全、稳步提高 ,社会政治及其他事业改革能够顺利实施 ,取得成效的基础和保证。任何一个社会要想实现以上目标 ,就必须抓紧、抓好社会保障制度的建立、健全和不断完善。而在社会保障制度的建立过程中 ,必须处理好的关键问题是公平与效率的关系。在社会保障制度的不同层面 ,合理选择公平与效率的侧重点 ,以保证在经济健康发展的条件下 ,人民生活稳定、安全、持续提高     

我国石油对外贸易流量分析与对策研究

石油是关系国家经济安全的重要战略物资，本文通过对我国石油进出口贸易一些流量指标的分析，发现：（1）石油净进口量过大，进口依存度偏高，并有逐年递增的趋势；（2）原油进口的地区集中度偏高，不利于石油资源供应稳定；（3）国际油价持续高企，对国内经济稳定造成威胁。并据此提出了相关政策建议。     

中印贸易问题透析及解决

中国和印度被认为是21世纪两个最大和增长最快的经济实体,伴随着中印经贸的快速增长,两国经贸不断显示互补性.2005年4月温家宝总理对印度进行的访问具有里程碑意义.两国政府建立了面向21世纪战略伙伴关系,签署了中印两国边境问题的政治指导性原则和全面经济合作五年计划.在此背景下,有必要分析中国和印度所面临的一系列问题,并提出诸多解决方案,融将影响双边贸易的健康发展.其目的在于尽可能克服这些因素的影响,早日开创发展中国家之间的新局面.