Examining the Canadian Government's Resistance to Including Socioeconomic Concerns in Genetically Modified Seeds Regulation: A Policy Transfer and Multilevel Approach

In 2011, Canadian Members of Parliament refused to transfer a regulatory initiative taken from Argentina that would have required an analysis of potential harm to export markets before authorizing the sale of any new genetically modified seed. This was the purpose of Bill C‐474, which was defeated in the House of Commons. After exploring Argentina's regulatory framework as a source of transfer, this paper combines a multilevel analysis with a typology of policy transfer mechanisms in order to address the complexities underlying this unsuccessful attempt. We explore how the mechanisms of competition and coercion might have impeded the transfer of such an initiative at the international and the macro‐state levels. Moreover, while a policy transfer network in support of the bill called on previous experiences with genetically modified seeds, their efforts appear to have been outweighed by another network using arguments based on the mechanisms of competition, coercion, and mimicry.     

Threshold Insurance Voting in PR Systems: A Study of Voters’ Strategic Behavior in the 2010 Swedish General Election

This study investigates strategic voting for small parties in proportional representation systems, in previous work sometimes referred to as threshold insurance voting (Cox, 1997). Starting from theories of rational voting (Downs, 1957), three conditions for threshold insurance voting are developed: the voter considers potential government outcomes, votes for a party at risk of falling below an electoral threshold, and votes for another party than his or her most preferred one. The conditions are tested on the case of the 2010 Swedish general election. Using extensive data material and a conditional logit model of vote choice, the results show that in this election voters cast strategic votes for at least one of the small parties, the Christian Democrats which was included in the incumbent government coalition.     

“To have and have not”: founders’ human capital and university start-up survival

In order to preserve innovation, knowledge development and diffusion, as well as the transfer of new technologies, the emergence of University Start-Ups (USU) and their survival as a particular dimension of performance represents a relevant research topic. As USU generally have scarce initial resources, the human capital of their founders is one of their main business assets. Although the survival of such firms is supposed to be heavily dependent on the human capital characteristics of their founders, this has not received enough attention in existing research. In this paper we investigate the contribution of founders’ specific human capital characteristics to the survival of USU, building on Gimeno et al. (Adm Sci Q 42:750–783, 1997) threshold model of entrepreneurial exit. We divide USU founders’ specific human capital into three components (entrepreneurship, industry and university) in order to better understand its impact on firm survival. Our theoretical model is empirically tested on a unique sample of Catalan USU through a logistic regression analysis. Coherently with our theoretical reasoning, the results show that industry human capital negatively affect USU survival, while university human capital and entrepreneurship human capital enhance the likelihood of USU survival.     

Pressured to learn? Swedish police experiences of curbing organized crime

This research takes an interest in the police's capacity to learn and adapt in an ongoing policy failure. Using the literature on organizational learning and adaptation, it investigates how the police combine exploration of new possibilities and exploitation of old certainties. This article delves into the Swedish police's adaptation to a wave of organized and aggravated robberies that in the years around 2005 seemed out of control. It argues that the Swedish police need to create organizational ambidexterity by implementing a mix of exploitation and exploration, as well as engaging societal actors external to the police when old practices run dry. This means that the law and order sector needs to refine their competences, utilize new ideas, and promote innovation from companies and other authorities for dealing with the tasks at hand. Furthermore, the organizational theory tool-box has proven that it has great potential for diagnosing current learning and adaptation efforts within the law and order sector, as they happen.     

Population growth,family planning and the Paris Agreement: an assessment of the nationally determined contributions (NDCs)

International Environmental Agreements: Politics, Law and Economics - Under the Paris Agreement, nations made pledges known as nationally determined contributions (NDCs): national climate plans...     

COVID-19 Pandemic and Intimate Partner Violence: an Analysis of Help-Seeking Messages in the Spanish-Speaking Media

The role of the Spanish-speaking media is crucial for how Latinx communities learn about seeking help when experiencing intimate partner violence (IPV). This study investigated the IPV help-seeking messages disseminated by the Spanish-speaking media in the U.S. during the COVID-19 pandemic. We engaged in an exploratory content analysis of videos from Univision’s main website, the most-watched Spanish-speaking media network in the U.S. We searched for videos related to IPV help-seeking posted from March 19–April 21, 2020—including the weeks after the World Health Organization declared COVID-19 a global pandemic and the U.S. mandated a shelter-in-place. After assessing inclusion criteria, 29 videos were analyzed. Data were analyzed using basic content analysis to determine frequencies and inductive interpretive content analysis to code for help-seeking messages. We identified eight manifest messages related to seeking help when experiencing IPV in times of a crisis: (1) contact a professional resource; (2) contact law enforcement; (3) contact family, friends, and members of your community; (4) create a safety plan; (5) don’t be afraid, be strong; (6) leave the situation; (7) protect yourself at home; and (8) services are available despite the pandemic. We found that the manifest messages alluded to three latent messages: (1) it is your responsibility to change your circumstances; (2) you are in danger and in need of protection; and (3) you are not alone. IPV and media professionals should ensure a structural understanding of IPV in their help-seeking messages and avoid perpetrating stigmatizing and reductionist messages.

     

Elections and Deceptions: An Experimental Study on the Behavioral Effects of Democracy

Traditionally, the virtue of democratic elections has been seen in their role as means of screening and sanctioning shirking public officials. This article proposes a novel rationale for elections and political campaigns considering that candidates incur psychological costs of lying, in particular from breaking campaign promises. These nonpecuniary costs imply that campaigns influence subsequent behavior, even in the absence of reputational or image concerns. Our lab experiments reveal that promises are more than cheap talk. They influence the behavior of both voters and their representatives. We observe that the electorate is better off when their leaders are elected democratically rather than being appointed exogenously—but only in the presence of electoral campaigns. In addition, we find that representatives are more likely to serve the public interest when their approval rates are high. Altogether, our results suggest that elections and campaigns confer important benefits beyond their screening and sanctioning functions.     

Structural Topic Models for Open‐Ended Survey Responses

Collection and especially analysis of open‐ended survey responses are relatively rare in the discipline and when conducted are almost exclusively done through human coding. We present an alternative, semiautomated approach, the structural topic model (STM) (Roberts, Stewart, and Airoldi 2013; Roberts et al. 2013), that draws on recent developments in machine learning based analysis of textual data. A crucial contribution of the method is that it incorporates information about the document, such as the author's gender, political affiliation, and treatment assignment (if an experimental study). This article focuses on how the STM is helpful for survey researchers and experimentalists. The STM makes analyzing open‐ended responses easier, more revealing, and capable of being used to estimate treatment effects. We illustrate these innovations with analysis of text from surveys and experiments.     

Security sector reform,gender and local narratives in Burundi

This paper maps the difficulties with operationalising the gender discourse described in the peace accord and post-conflict documents, which guide Burundi's peace-building process, through local women's narratives from the security forces. The author claims that due to limited international and local investment, the local women involved in the security forces initiate small practical changes by referring to their vision of femininity, while theoretically legitimising these demands by linking them to the international human rights discourse in order to survive in an overwhelmingly masculine arena. International organisations and donors’ focus on traditionally feminine and softer areas, such as reconciliation and reintegration programmes, together with local elites’ tendency to view gender as an ‘add-on’ contribute to this development.