Estimating the Worldwide Extent of Illegal Fishing

Illegal and unreported fishing contributes to overexploitation of fish stocks and is a hindrance to the recovery of fish populations and ecosystems. This study is the first to undertake a world-wide analysis of illegal and unreported fishing. Reviewing the situation in 54 countries and on the high seas, we estimate that lower and upper estimates of the total value of current illegal and unreported fishing losses worldwide are between $10 bn and$23.5 bn annually, representing between 11 and 26 million tonnes. Our data are of sufficient resolution to detect regional differences in the level and trend of illegal fishing over the last 20 years, and we can report a significant correlation between governance and the level of illegal fishing. Developing countries are most at risk from illegal fishing, with total estimated catches in West Africa being 40% higher than reported catches. Such levels of exploitation severely hamper the sustainable management of marine ecosystems. Although there have been some successes in reducing the level of illegal fishing in some areas, these developments are relatively recent and follow growing international focus on the problem. This paper provides the baseline against which successful action to curb illegal fishing can be judged

Integrating institutional and behavioural measures of bribery

Bribery involves individuals exchanging material benefits for a service of a public institution. To understand the process of bribery we need to integrate measures of individual behaviour and institutional attributes rather than rely exclusively on surveys of individual perceptions and experience or macro-level corruption indexes national institutions. This paper integrates institutional and behavioural measures to show that where you live and who you are have independent influence on whether a person pays a bribe. The analysis of 76 nationwide Global Corruption Barometer surveys from six continents provides a date set in which both institutional and individual differences vary greatly. Multi-level multivariate logit analysis is used to test hypotheses about the influence of institutional context and individual contact with public services, socio-economic inequalities and roles, and conflicting behavioural and ethical norms. It finds that path-determined histories of early bureaucratization or colonialism have a major impact after controlling for individual differences. At the individual level, people who frequently make use of public services and perceive government as corrupt are more likely to pay bribes, while socio-economic inequality has no significant influence. While institutional history cannot be changed, changing the design of public services offers is something that contemporary governors could do to reduce the vulnerability of their citizens to bribery

Configurations of corruption: A cross-national qualitative comparative analysis of levels of perceived corruption

This article advances our understanding of the potential causes of national levels of corruption. It develops a new institutionalist criminological theoretical framework. It then applies fuzzy set qualitative comparative analysis (fsQCA) to a sample of 77 countries. The outcome is perceived corruption. Potentially causal conditions are levels of democracy, human development, income inequality and two value orientations: traditional/rational-secular and survival/self-expression. The analysis supports the new institutionalist expectation that the effects of each of these conditions are configurational and dependent upon the presence or absence of other conditions, including value orientations. This can help to explain why previous findings on the independent effect of democracy on corruption have been mixed. It may also help to explain why corruption is such an intractable phenomenon in many countries

Strategic analysis of petty corruption with an intermediary

Petty corruption, Intermediaries, Game-theory, C73, D73, O12,

Corruption in dictatorships

Institutional choice, Economic development, Public choice, D72, D73, H11, K42,