手工业社会主义改造及其效率分析(1953—1956年)——基于浙江的研究

20世纪50年代,国家对手工业进行合作化改造。在此过程中除了为手工业提供必要的技术、资金、原料等方面的支持外,发生最大变化的是手工业的生产关系,国家取代以往众多的商人、工场主,成为实际意义上的“包买商”,试图以社会化大生产的方式来提高手工业的生产力,进而壮大社会主义经济成分。但合作化后期所反映出来的种种问题揭示了只有在生产关系基本适应生产力的情况下,才能真正、有效地推动生产力的发展。     

全球替代性食物体系综述

在世界各地,农业食品领域的工业化造成了日益严重的环境、经济和社会问题,如环境污染、 大量碳排放、食品安全危机、小农边缘化和小农生计的难以维系。 为了应对这些问题,多个国家的不同 群体建立了多种多样的替代性食物体系,如社区支持农业、农夫市集、共同购买、社区菜园等。 替代性食 物体系自 2009 年进入中国至今已有十年,获得了较大发展。 然而,国内研究较少关注国际替代性食物 体系产生的背景及理念。 文章从替代食物体系的产生和发展、主要特征、国内外差异以及学术界的批判 等几个方面进行概述,全面介绍相关的关键问题和概念,为推动国内替代性食物体系研究的发展助力。     

Intergenerational Mobility Modes and Changes in Social Class in Contemporary China

Using data from three China General Social Surveys, this paper analyzes changes in the basic situation of intergenerational mobility among social classes in China over the past 60 years. General social mobility was found to have increased, but social openness tended to show a wave-like pattern of change. Despite this, intergenerational inheritance was the main form of intergenerational mobility in every period. With the transformation of the socioeconomic system, the main mechanism of social exclusion changed from “systemic exclusion” to “market exclusion,” leading to changes in the structure of social opportunity. As a result, the form taken by intergenerational mobility varied significantly. This is chiefly evident in the gradual decline in the dominance of intergenerational inheritance among particular strata, with cross-class cyclical mobility becoming more difficult. On the one hand, changes in the social exclusion mechanism may increase social openness, making society more dynamic and strengthening social legitimacy. On the other hand, as the dominant class learns how to use market exclusion to achieve class reproduction, class solidification may still be possible in a future Chinese society.     

Tibetan minzu market: the intersection of ethnicity and commodity

In downtown Chengdu a pocket of Tibetan culture has sprung up: a Tibetan market where Tibetans and Han Chinese meet to buy and sell ethnic minority products. Pointing to how Tibetan migration to Chengdu has contributed to the growth of a vibrant ‘minzu market’ attracting Tibetan and Han Chinese merchants, customers, Buddhist devotees, and voyeurs, this article presents novel understandings of the ethnic goods market in urban Chengdu. The article first explores the growth of the market, which is the result of a history of political and economic reforms, increased mobility, and religious revival. Second, it maps the market infrastructure according to the ethnicity of the shopkeepers and the commodities that are traded. Although there is still a clear ethnic division in the market, this article also documents the emergence of Han Chinese market participation in forms of trade that have historically been dominated by Tibetans.     

Local composite quantile regression estimation of time-varying parameter vector for multidimensional time-inhomogeneous diffusion models

This paper is dedicated to the study of the composite quantile regression (CQR) estimations of time-varying parameter vectors for multidimensional diffusion models. Based on the local linear fitting for parameter vectors, we propose the local linear CQR estimations of the drift parameter vectors, and verify their asymptotic biases, asymptotic variances and asymptotic normality. Moreover, we discuss the asymptotic relative efficiency (ARE) of the local linear CQR estimations with respect to the local linear least-squares estimations. We obtain that the local estimations that we proposed are much more efficient than the local linear least-squares estimations. Simulation studies are constructed to show the performance of the estimations proposed.     

Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data

This paper considers the problem where the linear discriminant rule is formed from training data that are only partially classified with respect to the two groups of origin. A further complication is that the data of unknown origin do not constitute an observed random sample from a mixture of the two under- lying groups. Under the assumption of a homoscedastic normal model, the overall error rate of the sample linear discriminant rule formed by maximum likelihood from the partially classified training data is derived up to and including terms of the first order in the case of univariate feature data. This first- order expansion of the sample rule so formed is used to define its asymptotic efficiency relative to the rule formed from a completely classified random training set and also to the rule formed from a completely unclassified random set.     

Data envelopment analysis in the presence of measurement error: case study from the National Database of Nursing Quality Indicators® (NDNQI®)

Data envelopment analysis (DEA) is the most commonly used approach for evaluating healthcare efficiency [B. Hollingsworth, The measurement of efficiency and productivity of health care delivery. Health Economics 17(10) (2008), pp. 1107–1128], but a long-standing concern is that DEA assumes that data are measured without error. This is quite unlikely, and DEA and other efficiency analysis techniques may yield biased efficiency estimates if it is not realized [B.J. Gajewski, R. Lee, M. Bott, U. Piamjariyakul, and R.L. Taunton, On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes’ care planning process. Journal of Applied Statistics 36(9) (2009), pp. 933–944; J. Ruggiero, Data envelopment analysis with stochastic data. Journal of the Operational Research Society 55 (2004), pp. 1008–1012]. We propose to address measurement error systematically using a Bayesian method (Bayesian DEA). We will apply Bayesian DEA to data from the National Database of Nursing Quality Indicators^® to estimate nursing units’ efficiency. Several external reliability studies inform the posterior distribution of the measurement error on the DEA variables. We will discuss the case of generalizing the approach to situations where an external reliability study is not feasible.     

Web analytics and the functional differentiation of journalism cultures: individual,organizational and platform-specific influences on newswork

A key development in journalism over the past decade has been the rise of web analytics for real-time measurement of how audiences respond to news content. While this has led to concerns that analytics may contribute to a dumbing down of news, our understanding of the impact analytics have on journalism culture is still limited. This study explores individual, organizational and platform-specific influences on ways in which journalists and newsrooms access, use, interpret and apply analytics in their daily work. It argues that, increasingly, analytics are beginning to shape and reshape journalistic roles, values, norms and practices across different types of newsrooms. These developments are contributing to processes of functional differentiation in the journalistic field, which is found particularly in emerging practices of day- and platform-parting. The study argues that this differentiation has important consequences for scholars wanting to study news production, distribution and content in the digital age.     

Thank God you're here: the coming generation and their role in future‐proofing Australia from the challenges of population ageing

Like much of the industrialised world, Australia's population is ageing, the implications of which are twofold: increasing demand for publicly funded services and a decline in the supply of prime working‐age people. In grappling with the challenges of a diminishing workforce, the Australian Government is currently relying on its migration programs to provide both the much‐needed labour and skills for the resource boom and also to stimulate the economy through population growth. However, there may be another, not yet fully considered solution to the upcoming demographic problem. This paper investigates how the grandchildren of the baby boomers, termed here the Thank God You're Here generation (Gen TGYH), might impact on Australia's predicted workforce shortage. This generation of workers will enter the labour force as the last of the baby boomers reach retirement age, and will not only be bigger in size than preceding generations (Y, X and Baby Boomers), but also potentially be better educated than the retiring generation. This paper will also canvas the opportunities for both Gen TGYH and employers as well as the challenges for policymakers and governments in maximising the opportunity provided by this generation in the Australian economy.     

On an asymptotic relative efficiency concept based on expected volumes of confidence regions

ABSTRACT

The paper deals with an asymptotic relative efficiency concept for confidence regions of multidimensional parameters that is based on the expected volumes of the confidence regions. Under standard conditions the asymptotic relative efficiencies of confidence regions are seen to be certain powers of the ratio of the limits of the expected volumes. These limits are explicitly derived for confidence regions associated with certain plugin estimators, likelihood ratio tests and Wald tests. Under regularity conditions, the asymptotic relative efficiency of each of these procedures with respect to each one of its competitors is equal to 1. The results are applied to multivariate normal distributions and multinomial distributions in a fairly general setting.