Making and Governing Unstable Territory: Corporate,State and Public Encounters in Johannesburg’s Mining Land, 1909–2013

Abstract

Johannesburg’s mining land has defined the city’s geography, yet remains unevenly developed and liminal in urban policy. Rather than a planning failure, I argue this is a product of state-sanctioned corporate hegemony over mining land. Through the case of Johannesburg’s biggest mining-turned-property company, the paper problematises binaries of ‘state’ and ‘market’ by drawing out the deeply historical, spatialised, political and always-more-than-human vicissitudes of this mining-urban regime. These include the mapping and unmapping that render mining land terra incognita to the state while shoring up corporate power; the multiple visions and contestations over what is to be done with the land, and finally, how different and contingent temporalities shape and limit those visions in practise.     

Electoral volatility and the dynamics of electoral reform

Recent elections in Europe have shown that a context of increasing citizen distrust towards democratic institutions may lead to very high levels of electoral volatility and to the emergence of new parties. On the other hand, institutional reforms are sometimes presented as a solution to citizens’ discontent with political institutions. Focusing on a specific type of political institution ? electoral systems ? the question addressed in this study is whether high levels of electoral volatility may trigger electoral reforms. The article investigates the conditions under which reforms affecting the electoral system’s degree of openness to new parties were enacted in 25 European countries between 1945 and 2012. The findings demonstrate that volatility due to the emergence of new parties is the most powerful explanation to account for the introduction of electoral reforms, particularly those that hinder the entry of new parties into the system.     

Differential Registration Bias in Voter File Data: A Sensitivity Analysis Approach

The widespread availability of voter files has improved the study of participation in American politics, but the lack of comprehensive data on nonregistrants creates difficult inferential issues. Most notably, observational studies that examine turnout rates among registrants often implicitly condition on registration, a posttreatment variable that can induce bias if the treatment of interest also affects the likelihood of registration. We introduce a sensitivity analysis to assess the potential bias induced by this problem, which we call differential registration bias. Our approach is most helpful for studies that estimate turnout among registrants using posttreatment registration data, but it is also valuable for studies that estimate turnout among the voting‐eligible population using secondary sources. We illustrate our approach with two studies of voting eligibility effects on subsequent turnout among young voters. In both cases, eligibility appears to decrease turnout, but these effects are found to be highly sensitive to differential registration bias.     

Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality

The regression discontinuity (RD) design is a popular quasi‐experimental design for causal inference and policy evaluation. The most common inference approaches in RD designs employ “flexible” parametric and nonparametric local polynomial methods, which rely on extrapolation and large‐sample approximations of conditional expectations using observations somewhat near the cutoff that determines treatment assignment. An alternative inference approach employs the idea of local randomization, where the very few units closest to the cutoff are regarded as randomly assigned to treatment and finite‐sample exact inference methods are used. In this paper, we contrast these approaches empirically by re‐analyzing the influential findings of Ludwig and Miller ( 2007 ), who studied the effect of Head Start assistance on child mortality employing parametric RD methods. We first review methods based on approximations of conditional expectations, which are relatively well developed in the literature, and then present new methods based on randomization inference. In particular, we extend the local randomization framework to allow for parametric adjustments of the potential outcomes; our extended framework substantially relaxes strong assumptions in prior literature and better resembles other RD inference methods. We compare all these methods formally, focusing on both estimands and inference properties. In addition, we develop new approaches for randomization‐based sensitivity analysis specifically tailored to RD designs. Applying all these methods to the Head Start data, we find that the original RD treatment effect reported in the literature is quite stable and robust, an empirical finding that enhances the credibility of the original result. All the empirical methods we discuss are readily available in general purpose software in R and Stata; we also provide the dataset and software code needed to replicate all our results.     

Is there performance convergence in OECD public administration styles?

This article contributes to the assessment of the comparative evolution of the public sector performance, productivity and efficiency of 22 OECD countries in the first decade of this century. Overall results show that the average public sector productivity of Anglo‐Saxon countries is higher than that of European Continental and Nordic countries, but the inequality of the distribution of wealth is also bigger. Although the administrative culture of the countries studied influences the areas on which public policies are focused, there is more than one route to improve the performance and productivity of the public sector.     

The Backbone Structure of Audience Networks: A New Approach to Comparing Online News Consumption Across Countries

Measures of audience overlap between news sources give us information on the diversity of people’s media diets and the similarity of news outlets in terms of the audiences they share. This provides a way of addressing key questions like whether audiences are increasingly fragmented. In this article, we use audience overlap estimates to build networks that we then analyze to extract the backbone—that is, the overlapping ties that are statistically significant. We argue that the analysis of this backbone structure offers metrics that can be used to compare news consumption patterns across countries, between groups, and over time. Our analytical approach offers a new way of understanding audience structures that can enable more comparative research and, thus, more empirically grounded theoretical understandings of audience behavior in an increasingly digital media environment.     

The Slovak Greens: A complex story of a small party

This article is a case study of the Green Party in Slovakia. The line of explanation of the party's trajectory is chronological, from foundation to its present marginal status. The two main causes of repeated internal party splits identified by the article are the influence of nationalism and the party's relationship to the most important formation in Slovak politics during the 1990s, Vladimír Me?iar's Movement for a Democratic Slovakia. It, furthermore, points to the barrier of a relatively high clause in the electoral system to national parliament which determined the Greens' tendency to enter wider coalition partnerships. These partnerships, however, had a negative impact on the long-term perspective on the distinctiveness of the Greens from the point of view of voters. Other important factors in the party's lack of political success have been their isolation from the environmental movement and the public's low level of interest in ecological and other post-material issues.     

Understanding America's Hesitant Steps Toward Financial Capitalism: Politics, the Depression, and the Separation of Commercial and Investment Banking

Few would disagree that the Glass-Steagall Act of 1933 is thecontinental divide in American financial and banking history. Bydisallowing banks from getting involved in the investment bankingindustry, this Act imposed an institutional change that shaped howfinancial institutions conduct their business, even today in itsdecline. Conventional wisdom has it that the Act was enacted tocorrect the ``deficient'' financial system that existed during theperiod. In this paper we investigate whether this assertion can beempirically verified by analyzing the Senate vote on a predecessorof this Act (which included the clause separating commercialbanking from investment banking activities). Using multinomiallogits, we examine what may have motivated senators to vote for itspassage. The econometric evidence indicates that the Senate votewas significantly influenced by important interest groups(including national banks as well as manufacturing sectorinterests), despite the large populist outcry for financial marketreforms at the onset of the Depression.     

Explicit Evidence on the Import of Implicit Attitudes: The IAT and Immigration Policy Judgments

The implicit association test (IAT) is increasingly used to detect automatic attitudes. Yet a fundamental question remains about this measure: How well can it predict individual judgments? Though studies find that IAT scores shape individual evaluations, these inquiries do not account for an array of well-validated, theoretically relevant variables, thus raising the challenge of omitted variable bias. For scholars using the IAT, the risk here is one of misattributing to implicit attitudes what can be better explained by alternate and rigorous self-reports of explicit constructs. This paper examines the IAT’s performance in the context of U.S. immigration politics. Using a representative web survey of adults, I demonstrate the IAT effectively captures implicit attitude toward Latino immigrants. Critically, I then show these attitudes substantively mold individual preferences for illegal and legal immigration policy, net of political ideology, socio-economic concerns, and well-established measures of intolerance toward immigrants, such as authoritarianism and ethnocentrism. Combined, these results suggest the IAT measures attitudes that are non-redundant and potent predictors of individual political judgments.