Raising the Regional Leviathan: A Relational‐Materialist Conceptualization of Regions‐in‐Becoming as Publics‐in‐Stabilization

The purpose of this article is to contribute to the understanding of how spatial entities in general — and those spatial entities that are defined as ‘regions’ in particular — form, evolve and sometimes stabilize. Inspired by the scholarship of Noortje Marres, the article explores how regions‐in‐becoming may be gainfully conceptualized as publics‐in‐stabilization. In the article it is argued that some of the mechanisms involved in such processes pertain to how territorially framed issues sometimes become formulated as loosely articulated propositions for regionalization. These can, with time, generate emergent stakeholder communities, which in turn may become stabilized and delegated to more durable forms and materials which can eventually become naturalized as recognized regions. A suggested conceptual model is utilized to perform an analysis of empirical material from three contemporary processes of regionalization in Northern Europe with the purpose of examining and discussing some of the potential merits and shortcomings of the conceptual model. It is concluded that adopting the proposed perspective can enable scholars to highlight some of the mechanisms whereby vague and non‐coherent propositions for regionalization within time may be singularized and stabilized to such a degree that they become taken for granted as naturalized spatialities.     

Identification Based on Difference‐in‐Differences Approaches with Multiple Treatments

This paper discusses identification based on difference‐in‐differences (DiD) approaches with multiple treatments. It shows that an appropriate adaptation of the common trend assumption underlying the DiD strategy for the comparison of two treatments restricts the possibility of effect heterogeneity for at least one of the treatments. The required assumption of effect homogeneity is likely to be violated because of non‐random assignment to treatment based on both observables and unobservables. However, this paper shows that, under certain conditions, the DiD estimate comparing two treatments identifies a lower bound in absolute values on the average treatment effect on the treated compared to the unobserved non‐treatment state, even if effect homogeneity is violated. This is possible if the treatments have ordered treatment effects, that is, in expectation, the effects of both treatments compared to no treatment have the same sign, and one treatment has a stronger effect than the other treatment on the respective recipients. Such assumptions are plausible if treatments are ordered or vary in intensity.     

Unlocking the potential of advanced manufacturing technologies

This research examines whether investments in advanced manufacturing technologies (AMTs) such as flexible manufacturing systems (FMS), computer aided design (CAD), computer aided manufacturing (CAM), robotics, etc., are more likely to lead to improved performance if they are supported by improvements in the manufacturing infrastructure of the company. This question is evaluated using data gathered from 202 manufacturing plants chosen from industries generally considered to have relatively high investments in technology.Multiple item scales are developed and adapted from sources in the literature to measure investments in technology, infrastructure, and the performance of the plant. Evidence supporting the reliability and validity of these scales is provided. Hierarchical regression is used to analyze the relationship between technology, infrastructure, and performance. The results suggest that there is an important interaction between the adoption of advanced manufacturing technologies and investments in infrastructure. Firms that invest in both AMTs and infrastructure perform better than firms which only invest in one or the other. Separate analyses on sub-samples of firms with the highest and lowest investments in AMTs show that infrastructural investments have a stronger relationship with performance in the high investment group. Thus, the data indicate that infrastructural investments provide a key to unlocking the potential of advanced manufacturing technologies.     

A Simple Improvement of the IV‐estimator for the Classical Errors‐in‐Variables Problem

Two measures of an error‐ridden variable make it possible to solve the classical errors‐in‐Variable problem by using one measure as an instrument for the other. It is well known that a second IV‐estimate can be obtained by reversing the roles of the two measures. We explore the optimal linear combination of these two estimates. In a Monte Carlo study, we show that the gain in precision is significant. The proposed estimator also compares well with full information maximum likelihood under normality. We illustrate the method by estimating the capital elasticity in the Norwegian ICT‐industry.