二元经济中劳动力转移理论及其对中国就业增长的启示

失业问题一直以来都是困扰我国经济和社会发展的一个重要社会问题。特别是近年来随着经济增长速度下降,如何促进就业成为一个重要问题。中国经济产业结构正在经历非农化的过程,这决定了就业具有二元经济条件下就业的典型特征,所以回顾二元经济条件下劳动力转移理论对于解决当前我国的失业问题具有重要借鉴意义。     

钢琴演奏中的奏法问题探析

弹出高质量的声音,是实现高水平钢琴演奏的前提和基础,而在声音质量的诸多构成要素中,奏法又是具有决定性、基础性和关键性的一项,它界定了演奏中发音的基本动作方式,在任何时代、任何风格和流派的作品演绎中都具有举足轻重的地位,是作品演奏和研究中不可或缺的重要内容。因此,在进行钢琴艺术的专业研究和学习时,理应对奏法问题给予足够的重视,并做出细致、准确的掌握与表现。     

Incentives to move up: Effects of pay gaps between levels on employee performance

Employees of a certain rank are motivated by the pay gap between them and the levels above (upward comparison), and the pay gap between them and the levels below (downward comparison). In some cases, employees face multiple upward comparisons such as immediate and subsequent upward comparisons. We hypothesise that upward comparison matters more than downward comparison, and in the case of multiple upward comparisons, the immediate one matters more than the subsequent ones. We also hypothesise that the pay gap effect resulting from the upward/downward comparison ought to be non‐linear in that performance increases with pay gap size at a decreasing rate. The results from two empirical studies, namely, a longitudinal field study and a laboratory experiment, largely support our hypotheses.     

Applications of Statistics in the Field of General Insurance: An Overview

This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.     

Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

Shrouding Add‐On Information: An Experimental Study*

We explore how increased competition affects firms’ obfuscation strategies in a laboratory experiment. Firms sell a base good and an add‐on product. Besides choosing the base‐good price, sellers take an action that mimics the effects of shrouding the add‐on product. Shrouding is an equilibrium but an unshrouding equilibrium coexists. In our experiment, more competition matters, in that only duopolistic markets are frequently shrouded whereas four‐firm markets are not. With repeated interaction, shrouding rates do not increase. However, the opportunities to shroud facilitate tacit collusion on the base‐good price for the duopolies: the unshrouding equilibrium serves as a credible punishment if deviations occur.     

Placing the Urban Village: A Spatial Perspective on the Development Process of Urban Villages in Contemporary China

The rapid urbanization of China since the mid‐1980s has led to the development of a new spatial category, the urban village (chengzhongcun). The dominant neoliberal urban development regime approaches urban villages as a social, spatial, economic and political problem, and as targets for aggressive redevelopment and eradication policies. In this article, I propose a spatial perspective that makes use of several theoretical ‘anchors' to analyze the influence of urban village spatiality on its development process and to explore alternatives to the dominant redevelopment model. I begin by examining the spatial conceptualization of the urban village as a non‐place, arguing that this spatial reading undergirds the redevelopment‐by‐demolition model and tends to obscure alternative conceptualizations. I then move on to propose three alternative readings of urban village space, examining it as an everyday space, a liminal space and a neighborhood. Combining these three readings with the ‘non‐place' conceptualization provides a nuanced understanding of urban villages' unique spatial attributes and social roles, by evoking spatial and social processes that take place in most urban villages across China. Taken together, these spatial readings challenge the social and spatial rigidity of dominant representations of urban villages and supply a much‐needed spatially based conceptual framework that can be used to develop new urban planning models.     

Methods for Scalar‐on‐Function Regression

Recent years have seen an explosion of activity in the field of functional data analysis (FDA), in which curves, spectra, images and so on are considered as basic functional data units. A central problem in FDA is how to fit regression models with scalar responses and functional data points as predictors. We review some of the main approaches to this problem, categorising the basic model types as linear, non‐linear and non‐parametric. We discuss publicly available software packages and illustrate some of the procedures by application to a functional magnetic resonance imaging data set.     

Too Little or too much? Exploring U‐shaped Relationships between Corporate Environmental Performance and Corporate Financial Performance

Despite 40 years of research on the relationship between corporate environmental performance (CEP) and corporate financial performance (CFP), there is no generally accepted theoretical framework that explains the contradictory results that have emerged. This unsatisfactory status may be attributed to the fact that linear models dominate the research. Based on an international sample of 2361 firm‐years from 2008 to 2012, we find empirical evidence of a non‐linear, specifically a U‐shaped, relationship between carbon performance and profitability as well as between waste intensity and profitability. The same result holds for the relationship between carbon performance and stock market performance, but solely for manufacturing industries. Our empirical findings provide evidence for the theoretical framework of a ‘too‐little‐of‐a‐good‐thing’ (TLGT) effect, which indicates that the type of relationship (positive, negative) depends on the level of CEP. More precisely, there is a negative CEP–CFP relationship for companies with low CEP and a positive association for high CEP. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment