(Non)Urban Humans: Questions for a Research Agenda (the Work the Urban Could Do)

This interventions essay deploys the notion of the (non)urban human to address the conundrums associated with identifying spaces, operations and entities outside of urbanization's planetary encompassment. In the piece, the objective of which is to call for a programme of prospective research collaborations, it seeks to explore domains of intersection among that which appears ‘left out’ of urbanization's purported advantages, that whose time has yet to come, and forms of the human that exceed the possibilities of self-reflexive consciousness and free will. The essay draws upon the temporalities, rhythms, spatial arrangements and sensoria generated through histories of blackness and ‘natural worlds’ and their interactions, to posit extensionality—a dispersal of bodies and their capacities into more reciprocal and mutual enactments with the earthly surrounds—as a generative by-product of extended urbanization.     

Retail‐bank efficiency: Nonstandard goals and environmental determinants

This paper analyzes technical and scale efficiency of Austrian savings and cooperative banks. Non‐profit objectives are also considered with respect to input–output choice, which contributes to adequate performance measurements for alternative banks. Efficiency score estimates obtained via Data Envelopment Analysis (DEA) reveal considerable potential for improvement in terms of intermediation efficiency. Several environmental determinants prove significant, but the cumulative predictive content of exogenous factors is rather modest. Bank efficiency improves in both underdeveloped and prosperous markets, while increased rival size and distance appear to be detriments to efficiency. A concluding discussion of confounding factors reveals the managerial, stakeholder, and policy implications of the results.     

Sampling Techniques for Big Data Analysis

In analysing big data for finite population inference, it is critical to adjust for the selection bias in the big data. In this paper, we propose two methods of reducing the selection bias associated with the big data sample. The first method uses a version of inverse sampling by incorporating auxiliary information from external sources, and the second one borrows the idea of data integration by combining the big data sample with an independent probability sample. Two simulation studies show that the proposed methods are unbiased and have better coverage rates than their alternatives. In addition, the proposed methods are easy to implement in practice.     

Optimal Adaptive Designs with Inverse Ordinary Differential Equations

Many industrial and engineering applications are built on the basis of differential equations. In some cases, parameters of these equations are not known and are estimated from measurements leading to an inverse problem. Unlike many other papers, we suggest to construct new designs in the adaptive fashion ‘on the go’ using the A‐optimality criterion. This approach is demonstrated on determination of optimal locations of measurements and temperature sensors in several engineering applications: (1) determination of the optimal location to measure the height of a hanging wire in order to estimate the sagging parameter with minimum variance (toy example), (2) adaptive determination of optimal locations of temperature sensors in a one‐dimensional inverse heat transfer problem and (3) adaptive design in the framework of a one‐dimensional diffusion problem when the solution is found numerically using the finite difference approach. In all these problems, statistical criteria for parameter identification and optimal design of experiments are applied. Statistical simulations confirm that estimates derived from the adaptive optimal design converge to the true parameter values with minimum sum of variances when the number of measurements increases. We deliberately chose technically uncomplicated industrial problems to transparently introduce principal ideas of statistical adaptive design.     

Empirical evidence on surrogate country method for non‐market economy: US anti‐dumping policy towards China

Whether the non‐market economy (NME) treatment on China can be maintained even after the expiry date under Section 15 of China's World Trade Organization (WTO) Accession Protocol is one of the most controversial issues in the WTO. In fact, the key issue of the NME status in the anti‐dumping (AD) proceedings turns out to be how surrogate countries are selected in relation to dumping margin calculation. This paper reviews the US practices concerning the application of the surrogate country method. Despite the general perception of capricious and random selection of surrogate countries, the Department of Commerce has maintained a consistent pattern for applying the criteria. This seemingly consistent practice, however, raised systematic problems—but not at a significant scale—in dumping margin calculation concerning Chinese products. This result sheds an interesting light on the current WTO disputes concerning the China's NME status. At least in terms of the US AD practices, the result of the WTO dispute settlement process may not have a significant impact on the China's exportation.     

Counteracting Unemployment in Crises: Non‐Linear Effects of Short‐Time Work Policy*

Short‐time work (STW) is a labor‐market policy that subsidizes working‐time reductions among firms in financial difficulty to prevent lay‐offs. Many OECD countries have used this policy in the Great Recession. In this paper, we show that the effects of STW are strongly time‐dependent and non‐linear over the business cycle. Discretionary STW policy might save up to 0.87 jobs per short‐time worker in deep economic crises. In expansions, the effects are smaller and might turn negative. We disentangle discretionary STW from automatic stabilization in German data using smooth‐transition vector autoregressions.     

Writing out praise: Air Canada employees and the 1968 CEO change

In 1968, the Air Canada CEO was an individual from outside the airline industry, when previously all CEOs had been former airline pilots for the organization. In investigating why, the union writings of Air Canada, a large Crown corporation, make no reference to this 1968 CEO change. I examine how the values, beliefs, and ideas of employees affect the development of an organization's written histories. I apply actor network theory, sensemaking, critical sensemaking, and theories of “writing out” to expose and develop the concept of the noncorporeal actant as a critical influence within a network and in the writing of histories. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

我国与东盟非关税措施比较研究

随着国际环境的不断复杂化，非关税措施对我国及东盟的国际贸易牵制越来越强。掌握非关税措施对我国国际贸易的影响及我国非关税措施的构成，科学运用非关税措施应对国际贸易争端和摩擦至关重要。运用比率指标法中的影响强度、影响面和影响额三个指标探讨非关税措施对我国和东盟各国进出口贸易及不同进出口产品的影响。同时，对我国及东盟各国的非关税措施现状进行比较分析，并在国际标准下依托规范措施等指标对我国和东盟各国的非关税措施情况进行比较研究，最后给出合理化运用非关税措施的建议。     

Nonlinearity and asymmetry in the exchange rate pass‐through: What role for nominal price stickiness?

This paper examines the importance of nominal rigidity for nonlinearity and asymmetry of exchange rate pass‐through. For this purpose, we rely on company‐level data of French importing firms. We find that the well established fact that “prices rise faster than they fall,” which is characterized by the convex import price reaction function, lies primarily with the presence of nominal rigidity. Once price stickiness is controlled for, there is empirical evidence that the import price reaction function is rather concave if the linearity assumption can be rejected, indicating that firms aim primarily to protect their market share.