The implications of private tutoring on the school education in LDCs

In many LDCs, we observe that the public school teachers receive low wages, expend less than their full effort at school, and provide private tutoring to the students for a fee. To capture this institutional arrangement, we develop a theoretical model which shows that in comparison with ‘no-tutoring’, ‘tutoring’ is welfare reducing for all students in the economy. However, if the government considers only the students in the public system, then ‘tutoring’ can be welfare improving. In that case, the government would set a lower tax rate to pay wages to the teachers and let them provide tutoring to the students for a fee.     

Glatiramer acetate and interferon beta-1a for intramuscular administration: a study of outcomes among multiple sclerosis intent-to-treat and persistent-use cohorts

Abstract

Objective:

To study outcomes of multiple sclerosis (MS) patients treated with either glatiramer acetate (Copaxone) or interferon beta-1a for once-weekly, intramuscular administration (Avonex).

Methods:

An ‘intent-to-treat’ (ITT) cohort (n?=?1282) was established, consisting of patients diagnosed with MS who began therapy on either glatiramer acetate (GA) or intramuscular interferon beta-1a (IFN beta-1a-IM) and had continuous insurance coverage from 6 months before to 24 months after the date when they began taking the medication. A ‘persistent use’ (PU) cohort (n?=?639) was also constructed, consisting of individuals who, in addition to the criteria listed above, had a claim for GA or IFN beta-1a-IM within 28 days of the end of the 2-year post-period. Data were obtained from the i3 InVision Data Mart Database from July 2001 to June 2006. Multivariate regressions were used to examine both the 2-year total direct medical costs and the likelihood of relapse associated with the use of each of these alternative MS medications. A relapse was defined as either being hospitalized with a principal diagnosis of MS or having an outpatient visit with a MS diagnosis followed within 7 days by a claim for a corticosteroid. All regressions controlled a wide range of factors that may potentially affect outcomes.

Results:

In the ITT cohort, patients who started therapy on GA had a significantly lower 2-year risk of relapse (10.01 vs. 5.18%; p?=?0.0034) as well as significantly lower 2-year total medical costs ($44,201 vs. $41,121; p?=?0.0294). In the PU cohort, patients who used GA also had a significantly lower 2-year risk of relapse (7.25 vs. 2.16%; p?=?0.0048) as well as significantly lower total medical costs ($67,744 vs. 63,714; p?=?0.0445).

Limitations:

The analyses relies on an administrative claims database of an insured population and hence, may not be generalizeable to other populations. In addition, such a database precludes measurement of lost work time, unemployment, caregiver burden or other costs associated with MS.

Conclusions:

Results from this study indicate that the use of GA is associated with significantly lower probability of relapse as well as significantly lower 2-year total direct medical costs than IFN beta-1a-IM.     

On the efficiency of the negligence rule

The three versions of the negligence rule discussed in the literature differ regarding whether a negligent injurer is liable for the entire loss or only for the incremental loss; or regarding whether negligence is defined as failure to take at least due care or failure to take a cost‐justified precaution. It is shown in the paper that the incremental version with untaken precaution notion of negligence is not efficient; not even for the unilateral case. The paper also establishes, for the bilateral case, the efficiency of the incremental version with the shortfall‐from‐due‐care way of defining negligence.     

Demystify the labor statistics in China

In contrast to the great changes from a planning economy to market economic system, the transition in statistics system is left behind. The problem is quite serious in labor statistics. The paper reviews how the current labor statistical system collects the data and its reliability. By analyzing relevant indicators, the paper points out that policy-making based on the current labor statistics may mislead the outcomes in the Chinese labor market. To improve the labor statistics, a deep and comprehensive reform in the statistical system is required.     

Making the ‘Invisible’ Visible: Redevelopment‐induced Displacement of Migrants in Shenzhen,China

Gentrification in China is intertwined with urban redevelopment, which causes the large‐scale displacement of rural–urban migrants from ‘villages in the city’ (ViCs). Because of the informality of ViCs, migrant renters have very insecure tenancy and during redevelopment they are treated as a negligible (‘invisible’) social group. As they are very difficult to locate after displacement, they are also literally invisible to researchers. To make the invisible visible, this study traced a sample of displaced migrants from Huangbeiling village in Shenzhen. The focus was on the displacement process and on identifying the consequences for the displaced. We found various forms of displacement during the redevelopment process. Nearby ViCs were prioritized by displaced migrants to minimize as much utility loss as possible. However, they generally suffer from decreased proximity, increased living costs, and the loss of social networks and job opportunities. Remarkably, some choose to return to the gentrifying village, enduring displacement in situ caused by increasing rents, drastic physical neighbourhood changes and declining liveability, in exchange for retaining their original social and economic networks. Large‐scale urban redevelopment is causing the rapid shrinkage of informal housing. Recognizing and addressing the housing needs of this impoverished social group is a matter of urgency.     

Producing Localized Commodity Frontiers at the End of Cheap Nature: An Analysis of Eco‐scalar Carbon Fixes and their Consequences

There is no single ‘great’ commodity frontier whose exploitation under current socio‐technical conditions could fuel capital accumulation at the global scale. According to Jason Moore, this represents the ‘end of Cheap Nature’ and signals a terminal crisis for capitalism as we know it. In this article we complicate this assertion by showing how, in the context of global environmental governance frameworks of carbon control, a diverse range of actors situated at multiple scales are intensifying the use of cities and their hinterlands for the production/transgression of localized commodity frontiers. We draw on scholarship on uneven geographical development, state‐led restructuring and eco‐scalar fixes to present two case studies from different segments of the carbon cycle in the global South. The first case demonstrates how the introduction of waste‐to‐energy technology in Delhi facilitated the generation of ‘carbon credits’ while waste matter itself became a commodity. The second discusses attempts by the Brazilian state of Amazonas (Amazônia) aspiring to shift from rainforest exploitation to financialized conservation supported by the ‘green global city’ functions of metropolitan Manaus. These cases demonstrate that although the global carbon‐control regime may enable accumulation, implementation remains speculative, and localized commodity frontiers provoke social resistances that jeopardize their durability.     

SHIFTING BOUNDARIES IN ECONOMICS: THE INSTITUTIONAL COGNITIVE STRAND AND THE FUTURE OF INSTITUTIONAL ECONOMICS

This paper aims at contributing to the debate on the future of institutional economics and of the field as a whole by starting from the literature that discusses the relationship between Old‐Original Institutional Economics and New Institutional Economics. It suggests that the process of reunifying OIE and NIE (and evolutionary economics) prompted by part of the literature could be improved by the contribution of the Cognitive Institutional Economics. The paper follows a two‐stage pathway: first, it frames the debate on the relationships between NIE and the OIE and it concentrates on a subset of the literature that shows that NIE's recent developments complicate the distinction between NIE and OIE, and it explores the possibility that NIE and OIE may merge so that an amalgam of NIE, OIE and Evolutionary Economics becomes the next economic paradigm. Secondly, the paper argues that a step forward in the direction outlined by the literature has been made by CIE, which is a research stream that developed from cross‐fertilization among NIE, OIE and the Hayekian contributions to the analysis of institutions. In the concluding remarks, the possible emergence of a single institutional paradigm is discussed in the light of the literature about change in economics.     

Socio-demographics,political attitudes and informal sector employment: A cross-country analysis

In this paper, we empirically investigate the relationship between informal sector employment and micro-level socio-demographic characteristics, political acts and attitudes, and individual norms. Using self-reported individual micro-level data from the World Values Survey for seven developing countries (China, Ecuador, Egypt, Mexico, Peru, South Africa and Yemen), our cross-country regressions and principal component analysis reveal that socio-demographic characteristics of individuals are strong predictors of their informal sector employment. Our estimations further document that individual preferences for an economically strong, interventionist and egalitarian state and confidence in state and political institutions are positively and significantly correlated with informal sector employment, whereas variables associated with confidence in free market institutions and support for competition are negatively and significantly correlated with informal sector employment. We also show that individuals who participate either actively or inactively in peaceful and lawful political processes are significantly less likely to work in the informal sector. Finally, we document that individual norms, such as religiosity and tax morale, are negatively correlated with informal sector employment. Throughout our analysis, instead of having to rely on ad-hoc informality categorizations of third parties, we base our measurement of informal sector employment directly on the self-evaluation of individuals, who have the best information on the degree of their informality.     

Structures,strategizing, and contested territories: A structuration perspective on strategy development in employer branding

This study examines strategy development in employer branding based on structuration theory, focusing on the interplay between employer branding structures and the (inter)actions of employer branding strategists. To analyse this interplay, this paper draws upon a series of strategy meetings in an employer branding project of a multinational construction company. This study adds to the current debate on employer branding by advancing the understanding of the structural embeddedness of strategizing in employer branding. Furthermore, the study proposes that strategy development shifts employer branding engagements into contested territory due to various and contradictory structures strategists need to deal with.     

Integrating uncertain user-generated demand data when locating facilities for disaster response commodity distribution

This paper presents a new facility location problem variant with application in disaster relief. The problem is unique in that both verified data and unverified user-generated data are available for consideration during decision making. The problem is motivated by the recent need of integrating unverified social data (e.g., Twitter posts) with data from more traditional sources, such as on-the-ground assessments and aerial flyovers, to make optimal decisions during disaster relief. Integrating social data can enable identifying larger numbers of needs in shorter amounts of time, but because the information is unverified, some of it may be inaccurate. This paper seeks to provide a “proof of concept” illustrating how the unverified social data may be exploited. To do so, a framework for incorporating uncertain user-generated data when locating Points of Distribution (PODs) for disaster relief is presented. Then, three decision strategies that differ in how the uncertain data is considered are defined. Finally, the framework and decision strategies are demonstrated via a small computational study to illustrate the benefits user-generated data may afford across a variety of disaster scenarios.