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1 – 4 of 4Prithviraj Lakkakula, Dwayne J. Haynes and Troy G. Schmitz
This chapter analyzes the economic implications of genetic engineering for food security. We discuss the asynchronous nature of genetically modified (GM) crop regulation and…
Abstract
Purpose
This chapter analyzes the economic implications of genetic engineering for food security. We discuss the asynchronous nature of genetically modified (GM) crop regulation and labeling requirements among countries, associated politics, and consumer perceptions of GM crops.
Methodology/approach
We perform an ex-ante analysis of the introduction of a GM rice variety in major rice exporting and importing countries (including potential producer and consumer impacts) within the framework of a partial equilibrium trade model.
Findings
Although the introduction of a GM rice variety that increases global yield by 5% could result in a consumer gain of US$23.4 billion to US$74.8 billion, it could also result in a producer loss of US$9.7 billion to US$63.7 billion. The estimated net gain to society could be US$11.1 billion to US$13.7 billion. Overall, we find a positive economic surplus for major exporters and importers of rice based on a 5% supply increase with a GM rice variety.
Practical implications
The adoption of transgenic (GM) rice varieties would have a far greater impact on rice prices for poorer counties than for richer countries. Therefore, GM rice may help ensure that more people throughout the world would have food security.
Details
Keywords
Prithviraj Chattopadhyay, Elizabeth George and Carmen Kaman Ng
In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We then…
Abstract
In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We then develop an uncertainty reduction model of relational demography, which describes a two-stage process of uncertainty emergence and reduction in a workgroup setting. The first stage depicts how structural features of the workgroup (workgroup composition) and occupation (the legitimacy of its status hierarchy) induce two forms of uncertainty: uncertainty about group norms and uncertainty about instrumental outcomes. The second part of the model illustrates employees' choice of uncertainty reduction strategies, depending on the type of uncertainty they experience, and the status of their demographic categories. Implications for theory and practice are discussed.
Matt Bloom, Ph.D., is an associate professor in the Management Department at the Mendoza College of Business, University of Notre Dame. He received his Ph.D. from Cornell…
Abstract
Matt Bloom, Ph.D., is an associate professor in the Management Department at the Mendoza College of Business, University of Notre Dame. He received his Ph.D. from Cornell University. Before receiving his doctorate he worked as paramedic, psychiatric technician, and then as a consultant for Arthur Young & Company and American Express. Matt's current research interests center on well-being at work and include exploring topics such as what work is like when people experience it as a calling and what conditions help people to be at their cognitive and emotional best at work. He is currently undertaking a program of research to study well-being among people in the caring professions.