The risk-based approach under the new EU data protection regulation: a critical perspective

Abstract

The first broad reform of personal data protection legislation in the European Union entered into force in May 2018 (Regulation (EU) 2016/679, the General Data Protection Regulation). Remarkably, with this reform a risk-based approach has been introduced as the core data protection enforcement model, while data protection authorities see their regulatory role significantly weakened. The risk-based approach is to be implemented by the data controllers (i.e. the operators) via data protection impact assessments (evoking the established environmental impact assessment procedure) and notification of breaches, among other procedures. Hence the scope of both the concepts of risk and risk regulation spread beyond conventional domains, namely the environment, public health or safety, i.e. physical risks, to encompass risks to intangible values, i.e. individual rights and freedoms, presumably harder to assess and manage. Strikingly, the reform has been accompanied by a confident discourse by EU institutions, and their avowed belief in the reform’s ability to safeguard the fundamental right to data protection in the face of evolving data processing techniques, specifically, big data, the Internet of Things, and related algorithmic decision-making. However, one may wonder whether there isn’t cause for concern in view of the way the risk-based approach has been designed in the data protection legislation. In this article, the risk-based approach to data protection is analysed in the light of the reform’s underlying rationality. Comparison with the risk regulatory experience in environmental law, particularly the environmental impact assessment procedure, is drawn upon to assist us in pondering the shortcomings, as well as the opportunities of the novel risk-based approach.     

Salvador Allende's development policy: Lessons after 50 years

Last year, 2020, was the 50th anniversary of the opening of the ‘Chilean road to socialism’ by Salvador Allende. Although the Allende government is the political reference for the 'socialism of the 21st century’ in Latin America, international supporters tend to disregard the primary cause of its downfall, focusing instead on the circumstances of Allende's death. This article explains the link between the Allende government's development policies and its macroeconomic outcomes between 1970 and 1973. It finds that Chile's economic collapse had an endogenous cause related to government policies. This supports the views of Mises and Hayek on the feasibility of socialist economic policies. Policymakers and commentators should recognise essential lessons from the Chilean experience to learn from past errors and effectively promote Latin America's economic development.     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.     

有效提升粮油检测数据的准确度

本文主要探讨粮油检测数据的科学性和准确性,包括粮油样品的扦取、检测误差的控制、检测质量体系的运行、检测数据处理的原则和检测报告的编制等。     

Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala,Cameroon)

In order to understand the scale and nature of inequalities in intra-urban mobility we need reliable income data, but this is generally difficult to collect in household surveys. The methodological approaches that are employed to overcome difficulties in income data collection may affect the relative position of individuals and households within the income distribution and our estimates of mobility inequalities. In the context of a case study of Douala, this paper evaluates how the way income data is collected affects its accuracy and therefore the measurement of daily mobility inequalities. Simplified data collection tends to minimise the scale of inequalities as it misrepresents the income distribution. The error is greater in remote zones. Shortcomings in the statistical apparatus with regard to income data thus blur our perception of mobility inequalities and impede investigation of the links between daily travel, poverty and social exclusion.     

威客活动水平的区域空间统计分析——从人力资本视角看区域经济发展失衡

探索了威客活动的地域分布特征,并将之与区域经济发展水平相联系,构建了区域经济发展研究的新视角。通过绘制分位地图,探索了威客活动可能存在的地域歧视,从需求和供给的角度分析了威客活动的地域分布情况。利用空间统计分析方法对比了GDP与威客数量的地域分布情况。研究结果表明:威客活动中不存在明显的地域歧视;威客活动的需求和供给分布较为一致;大多数省份的威客数量水平低于其经济发展水平;威客的地域分布不存在明显的集聚现象。整体而言,以威客平台为基础的网上劳动力市场的存在与发展,借助互联网在联系不同地域、消除地域差异上起到了重要作用。     

Determining the integrated volatility via limit order books with multiple records

The integrated volatility plays an important role in risk management and portfolio selection, the estimation methods regarding the quantity have been widely investigated, either under low-frequency data or high-frequency data, or a combination of both. In this paper, we propose a measure for the integrated volatility via limit order book data with possible presence of multiple records. The estimator is valid under mild conditions and it is easily implemented. The finite sample performance of the proposed estimator has been verified by simulation studies and we apply the method to some real high-frequency data-sets as well.     

Teaching HRM in contemporary hospitality management: a case study drawing on HR analytics and big data analysis

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps identify, develop, and promote appropriate managerial skills among students.     

Migration and imperfect labor markets: Theory and cross-country evidence from Denmark,Germany and the UK

We investigate the labor market effects of immigration in Denmark, Germany and the UK, three countries which are characterized by considerable differences in labor market institutions and welfare states. Institutions such as collective bargaining, minimum wages, employment protection and unemployment benefits affect the way in which wages respond to labor supply shocks, and, hence, the labor market effects of immigration. We employ a wage-setting approach which assumes that wages decline with the unemployment rate, albeit imperfectly. We find that the wage and employment effects of immigration depend on wage flexibility and the composition of the labor supply shock. In Germany immigration involves only moderate wage, but large unemployment effects, since immigrants are concentrated in labor market segments with low wage flexibility. The reverse is true for the UK and Denmark.     

The determinants of credit spreads changes in global shipping bonds

This paper investigates whether bond, issuer, industry and macro-specific variables account for the observed variation of credit spreads’ changes of global shipping bond issues before and after the onset of the subprime financial crisis. Results show that conclusions as to the significant variables of spreads depend significantly on whether two-way cluster-adjusted standard errors are utilized, thus rendering results in the extant literature ambigious. The main determinants of global cargo-carrying companies’ shipping bond spreads are found in this paper to be: the liquidity of the bond issue, the stock market’s volatility, the bond market’s cyclicality, freight earnings and the credit rating of the bond issue.