The mediation of matchmaking: a comparative study of gender and generational preference in online dating websites and offline blind date markets in Chengdu

Online dating has modernized traditional partner search methods, allowing individuals to seek a partner that aligns with their preferences for attributes such as age, height, location, or education. Yet traditional forms of partner selection still exist, with continued parental involvement in the matching process. In this paper, we exploit different matchmaking methods with varying degrees of youth autonomy versus parental involvement. We use a unique dataset collected in Chengdu, China, where profiles from the blind date market (n = 158) capture parental preferences and profiles from an online dating website (n = 500) capture individual preferences. Regarding gender, we find that men generally display a desire for women younger, shorter, and less educated than themselves, while women desire older and taller men of the same education as themselves. With regards to parental influences, we find parents specify a narrower range of accepted partner attributes. Further, we find an interaction effect between gender and generational influences: the preferences of parents advertising their daughters on the blind date market show a greater discrepancy in attribute preferences to the online daters than parents advertising their sons.

Integrated market and nonmarket strategies: Empirical evidence from the S&P 500 firms’ climate strategies

Firms with well-formulated competitive market strategies could still fail due to their lack of effective nonmarket strategy. Climate change poses significant threats to firms and presents firms’ need to develop nonmarket strategy integrated with market strategy. Relying on the unique dataset of US S&P 500 firms’ responses to climate change, this study seeks to ask why some firms attempt to engage in climate policy making, while others do not do so. The results found that firms with organizational resources and capabilities underlying their carbon market strategy are more likely to support mandatory climate policy. It sheds light on the significance of integrated market and nonmarket strategies, particularly when business opportunities are controlled more by governments than by markets.

Co-evolution patterns of university patenting and technological specialization in European regions

This paper provides novel evidence on co-evolution patterns of the technological specialization of innovation activities of firms and academic institutions located in the same European region during the years from 2003 to 2014. We exploit a novel and unique dataset merging data on EU-funded R&D projects, universities, patents, and economic region-level data for a large sample of universities and firms co-located in geographical areas at the third level of the Nomenclature of Territorial Units for Statistics (NUTS3), which correspond to a sub-regional scale of analysis. Our results indicate the presence of substantial heterogeneity across the analyzed EU regions with respect to the co-evolution of industry and academia specializations. In particular, we find that the specialization into a new technological domain is led by the local academic research system only in a few cases. We also document that a number of factors, at both the university and region levels, are associated with convergent or divergent processes in the relative specialization of the innovation activities carried out by firms and universities co-located in the same region.

Do Corporate Site Visits Constrain Real Earnings Management?

This study investigates the relationship between corporate site visits (CSVs) and firms’ real earnings management. Using a unique dataset of site visits to Chinese firms listed on the Shenzhen Stock Exchange from 2009 to 2016, we find that such visits are negatively associated with firms’ real earnings management. The results are robust to using alternative CSV measures, controlling for alternative communication channels, and using the propensity score matching method. In cross-sectional analyses, we find that the negative association between site visits and real earnings management is stronger for more complex firms and firms with greater information asymmetry. In addition, we find that CSVs are negatively associated with both management and corporate misconduct but not with accrual-based earnings management or restatements.

Community vibrancy and its relationship with safety in Philadelphia

To what extent can the strength of a local urban community impact neighborhood safety? We construct measures of community vibrancy based on a unique dataset of block party permit approvals from the City of Philadelphia. Our first measure captures the overall volume of block party events in a neighborhood whereas our second measure captures differences in the type (regular versus spontaneous) of block party activities. We use both regression modeling and propensity score matching to control for the economic, demographic and land use characteristics of the surrounding neighborhood when examining the relationship between crime and our two measures of community vibrancy. We conduct our analysis on aggregate levels of crime and community vibrancy from 2006 to 2015 as well as the trends in community vibrancy and crime over this time period. We find that neighborhoods with a higher number of block parties have a significantly higher crime rate, while those holding a greater proportion of spontaneous block party events have a significantly lower crime rate. We also find that neighborhoods which have an increase in the proportion of spontaneous block parties over time are significantly more likely to have a decreasing trend in total crime incidence over that same time period.

Eye of Devil: Face Recognition in Real World Surveillance Video with Feature Extraction and Pattern Matching

People lost, people missing etc., these are the words we come across whenever there is any mass gathering events going on or in crowded areas. To solve this issue some traditional approaches like announcements are in use. One idea is to identify the person using face recognition and pattern matching techniques. There are several techniques to implement face recognition like extraction of facial features by using the position of eyes, nose, jawbone or skin texture analysis etc., By using these techniques a unique dataset can be created for each human. Here the photograph of the missing person can be used to extract these facial features. After getting the dataset of that individual, by using pattern matching techniques, there is a scope to find the person with same facial features in the crowd images or videos. Keywords: Face-Recognition, Image-Processing, Feature extraction, Video-Processing, Pattern-Matching.

Electoral Responsiveness in Closed Autocracies: Evidence from Petitions in the former German Democratic Republic

Contested elections are usually seen as precondition for constituent responsiveness. By contrast, I show that even uncontested elections can create incentives for autocratic regimes to address citizen demands. I propose that closed autocracies engage in cycles of responsiveness before uncontested elections to assure citizens of their competence and raise popular support. They do so to mitigate the short-term destabilizing effects of elections. Analyzing a unique dataset of petitions to the government of the former German Democratic Republic (GDR), I calculate that response times to petitions were up to 31% shorter before the GDR’s uncontested elections. Moreover, I introduce the concept of “substantive responsiveness,” which focuses on the material consequences of responsiveness for petitioners, and show that petitions were 64% more likely to be successful. The paper advances our understanding of electoral mobilization in closed regimes and contributes to an emerging research agenda on responsiveness and accountability in autocracies.

Fixed Trajectories: Race, Schooling, and Graduation from a Southern Ontario University

According to Statistics Canada, during this decade (2019–2028) about 75% of new jobs will require a post-secondary education (Government of Canada, 2017). This study explores a unique dataset that follows students (n = 11,417) from a large urban school district to a local university in Southern Ontario. Using both descriptive statistics and a binary logistic regression and a framework of categorical inequality (Domina et al., 2017), we examine the academic trajectories of students—particularly of Black students. Findings show that, compared to their peers, neither high school nor university programs provide Black students with the kinds of educational experiences needed for university graduation and academic success that wouldenable them to realize their fullest social and economic potentials.

An economic analysis of nontraditional lending in Chapter 12 bankruptcy cases

PurposeNontraditional lenders are important credit providers for farmers. However, previous research has found that farmers who use nontraditional lenders are riskier lending opportunities. Using a unique dataset of Chapter 12 bankruptcy cases, the authors analyze the share of payment that is made or allowed by the courts on debt owed to traditional and nontraditional lenders.Design/methodology/approachThe authors use a Tobit model to calculate parameter estimates and marginal effects of the impact of creditor type (traditional/nontraditional) and debt classification (secured, priority and unsecured) on the proportion of a bankruptcy claim that lenders receive or are expected to receive when a case is discharged.FindingsThe authors find that traditional lenders with secured debt receive a greater repayment than nontraditional lenders. Meanwhile, there are more than twice the number of nontraditional lenders that are owed debt in these bankruptcy claims. While this raises concern for nontraditional lenders, that is mitigated some by the level of debt that is on average about one-sixth the size of the average debt of traditional lenders. Finally, the authors show there are numerous opportunities for future research in this area using case level bankruptcy data.Originality/valueThis paper fills a research gap by focusing on the state of nontraditional lenders in Chapter 12 bankruptcy cases and their treatment in discharged cases.

The Public Effect of Private Sustainability Reporting: Evidence from Incident-Based Engagement Strategy

This study examines whether private information exchange between institutional investors and public companies in engagement dialogs on sustainability issues improves the publicly disclosed measurements of the target company’s financial and non-financial performance and transparency. It uses a unique dataset containing 326 private reports related to environmental, social, and anti-corruption recommendations to address material incidents among publicly traded MSCI World Index portfolio companies of Nordic institutional investors. The results indicate that target companies appear to have similar values with matched companies on sustainability performance and transparency ratings in the 3 years following the initiation of private reporting. Unexpected sustainability incidents are subsequently reflected in the next year’s fall in the market value of target companies relative to MSCI World Index. This paper provides empirical evidence for the legitimacy-based provision of private sustainability information used in a larger disclosure system of public companies.