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Purpose – The chapter provides a comprehensive review of trade-related regulations of genetically modified (GM) food, identifies their main effects, and analyzes the main motivations behind their support.

Methodology/approach – The analysis is substantiated by (a) results from the literature on GM food regulations and (b) comparative statics results from a simplified three-country partial equilibrium welfare and political economic model.

Findings – The analysis shows that in a non-GM producing country, trade-related regulations will benefit producers, but not necessarily consumers. Producers' support is found to be instrumental to push for a ban, for information requirements on shipments, or for mandatory labeling of GM food products. Outside pressure groups will play the role of swing voters in cases where consumers and producers do not agree.

Research limitations/implications – The analytical model is based on simplifying assumptions on the groups and market effects of each regulation. Future research is needed to empirically validate some of the main results.

Originality/value of the chapter – The goal of the chapter is to inform economic and policy researchers on the effects of GM food trade-related regulations. The chapter provides an updated comprehensive overview of the key trade regulations of GM food. It uses a unique model to derive the main welfare effects of GM food regulations. By comparing the effects of GM food regulations in different types of countries for different pressure groups, the findings provide new insights in this area.

Purpose – The chapter examines the international welfare effects of biotech crop adoption, based on a transversal literature review and a case study of the introduction of genetically modified (GM) food crops in Bangladesh, India, Indonesia, and the Philippines.

Methodology/approach – The analysis is based on (a) a review of lessons from the applied economic literature and (b) simulations using an improved multimarket, multicountry, computable general equilibrium (CGE) model, calibrated with productivity hypotheses formulated with local scientists in the four Asian countries.

Findings – Results from the analysis show that, in the absence of trade-related regulations, GM crop adoption generates economic gains for adopting countries and importing non-adopters, that domestic regulations at adopters and especially non-adopters can reduce these gains, and that import regulations in other countries can also affect gains for exporting adopters. The case study illustrates these conclusions, but it also shows that net importers will mostly benefit from adoption in their terms of trade, and that segregation of non-GM crops for export markets can be beneficial if it is not too costly.

Research limitations/implications – The use of a CGE model allows for accounting for cross-sectoral effects, and for regulations affecting bilateral trade flows, but it also has a number of limitations. The model used here, like the ones used in the other papers in the literature, is static, based on an aggregated representation of the global economy (GTAP database), and assumes perfect competition. This means that the absolute results of each scenario may not perfectly represent the actual welfare effects engendered by the adoption of biotech crops. Still, what matters here is the comparison of the relative welfare effects across countries and scenarios. The simulations are also done ex-ante, so, even if the model here was calibrated with country-based data, the results do depend on hypothetical assumptions about the performance of the selected technologies.

Originality/value of the paper – The chapter aims to illustrate the welfare effects generated by GM crops for adopters, non-adopters, in a segmented and regulated international market. Unlike other papers, the review section provides key transversal lessons from the literature, accounting for results from both partial equilibrium and CGE model studies. The empirical application focuses on four populous Asian countries that have been largely left out of the literature. The model used in the simulation presents a number of improvement from the CGE literature on GM crops, including partial adoption, factor-biased productivity shock in each adopting country, GM labeling regulations modeled as trade filters, and the inclusion of costly non-GM segregation as observed in the international market.

World agriculture faces enormous challenges in the coming decades. To feed the world adequately in 2050, agricultural production in developing economies will need to nearly double. Incremental production will mainly come from increases in yields or cropping intensities. This chapter focuses on the potential of genetically modified (GM) crops to contribute to agricultural productivity growth and poverty reduction in developing economies. On the basis of a comprehensive literature review of the most recent literature, we aim to shed light on (a) whether GM crops benefit farmers in developing economies and (b) whether GM crops that are currently in the research pipeline address future challenges for agriculture. The first part of the chapter reviews farm-level impacts of GM crops in developing economies. The second part discusses the GM crop research pipeline. GM crop markets are expected to grow in the future but not to change dramatically. We conclude that GM crops benefited farmers, including resource-poor farmers, in developing economies, but benefits are location- and individual-specific. Addressing such complexities will be required to unlock technology potentials.

This chapter situates the South Pacific region’s engagement in progressing gender equality and women’s empowerment within broader gender and development (GAD) debates. It explores the international ‘gender agenda’ and how its associated frameworks, platforms, policies and metrics have diffused throughout the South Pacific. Limited progress in achieving gender equality and empowerment goals has been made, globally and regionally, with considerable challenges yet to be overcome. Complementing the book’s focus on the integration of gender into agricultural research and development projects, the chapter reviews rural women’s access to income and land in the South Pacific, and their contributions to agricultural production and marketing.

Purpose – Exploration of the methodological aspects of male sex work is rather limited. Without a strong methodological toolkit to draw from, research in male sex work will not be able to accurately capture changes in the dynamic sex work environment. Thus, the author provides a comprehensive review of methods in male sex work along with a broad spectrum of methodological insights through which future research can be advanced.

Methodology/approach – Drawing from two studies that the author conducted in the male independent escorting space, this chapter provides a range of methodological insights and offers avenues for future research.

Findings – This chapter reviews the methods used in male sex work research over the years and details the lack of research on methodological inquiry in the field.

Originality/value – With the increasing normalization and dynamism of male sex work, it is necessary for the research to provide methodological guidance for the next wave of studies in the field. The recommendations and research directions proposed herein are hoped to have implications for research in the larger sex work context.

My study examines the pay-for-performance relationship surrounding executive compensation in higher education. There has been much criticism of the rising levels of university presidential pay, particularly in the public sector, citing it is pay without performance. Public colleges and universities are funded by taxpayers; therefore, their expenditures are even more heavily scrutinized than private institutions. Many feel that university executives are overpaid and are not delivering a return in the form of enhanced institutional performance to their investors, the public. Growing student debt only adds intensity to the outcry against heightened compensation. Proponents of the increasing pay levels contend that the ever-changing role of the university president and competition in the marketplace for talent warrants such compensation. Using data obtained from The Chronicle of Higher Education and Integrated Postsecondary Education System websites, I find a highly significant and positive relationship between compensation for executives at four-year public institutions and both the levels of university endowment and enrollment. These results support the pay-for-performance debate. In contrast, results for other performance measures, scholarships and graduation rates, do not support the debate. My study contributes to the literature examining pay-for-performance in higher education with an empirical analysis examining the institutional determinants of executive compensation for public colleges and universities.

Serious questions have been raised regarding the necessity to continue focusing our research on what constitutes individual, or what the authors refer to as singular leadership. Although the authors consider these questions to be important to advancing the field of leadership theory, research, and practice, they also suggest that attempts to minimize the relevance of singular leadership may hinder progress in other domains of leadership research. In this chapter, the authors explore how and why singular leaders and their leadership matter, and how they may influence follower, peer, and organizational outcomes. The authors use a paradoxical framework to present a theoretical model and propositions that allow us to clarify the influence of different forms of singular leadership within organizations. In our examination of singular leadership, the authors consider both positive and harmful modes of attributes, cognitions, and behaviors.

This chapter overviews how neuroscience can provide a new lens to understand leadership processes in organizations. We describe how neurological scanning can be applied to leadership research, as well as its potential advantages over more traditional techniques, such as surveys. Research to date is summarized pertaining to how neuroscience can inform such conceptualizations as transformational, complex/adaptive, and ethical forms of leadership. Findings indicate that effective versus not-so-effective leaders can be distinguished neurologically, and such assessment can benefit the prediction of important leadership outcomes. We caution that context needs to be taken into account in that not only can neurological variables associated with leaders affect organizational behavior and outcomes, but it is equally important to understand how the context can affect neurological qualities of individuals. Finally, we describe how it may be possible to use neurofeedback techniques to help develop leadership qualities of people in industry and in education programs, such as those in business schools.