Economic and Household Impacts of Projected Policy Changes for the Irish Agri‐food Sector

The policy environment for the Irish agri‐food sector could change rapidly in the coming decade. A potentially positive factor will be the elimination of milk quotas in 2015, although a potentially negative factor will be further trade liberalisation and increased import competition. These changes come on top of the move to decouple direct aids to farmers in 2005 as part of the Mid‐Term Review of the EU's Common Agricultural Policy agreed in 2003. This paper examines these reforms and their impacts on the Irish economy and income distribution using a CGE model particularly rich in detail on the agri‐food sectors, differentiated household groups, and agricultural policy instruments including their links to productive factors and households. The results suggest that the past and projected changes in the policy environment have, in sum, a small positive impact on GDP and household income. However, the gains and losses are unequally distributed across sectors and household groups due to the highly differentiated distribution of support and protection. Although all households generally gain from the sequence of policy reforms in the long run, some experience strong adverse effects from particular reforms and in the medium term.     

Canada's Housing Bubble Story: Mortgage Securitization,the State,and the Global Financial Crisis

Canada's experience during and after the financial crisis appears to distinguish it from its international peers. Canadian real estate sales and values experienced record increases since the global financial crisis emerged in 2008, rather than declines, and Canada did not witness any bank failures. The dominant trope concerning Canada's financial and housing markets is that they are sound, prudent, appropriately regulated and ‘boring but effective’. It is widely assumed that Canadian banks did not need, nor receive, a ‘bailout’, that mortgage lending standards remained high, and that the securitization of mortgages was not widespread. The truth, however, does not accord with this mainstream view. In fact, the Canadian financial and housing markets reveal marked similarities with their international peers. Canada's banks needed, and received, a substantial ‘bailout’, while federal policies before and after the financial crisis resulted in the massive growth of mortgage securitization and record household indebtedness. This article documents the growth of Canada's housing bubble, the history of mortgage securitization, and of government policies implemented before and after the crisis. Instead of making the Canadian financial and housing sectors more resilient and sustainable, the outcomes of state responses are best understood as regressively redistributive.     

Computer assisted text analysis in the social sciences

We use the term “Computer Assisted Text Analysis” in a broad sense to refer to a range of current techniques from quantitative social science and content analysis to ‘data mining’ and ‘text classification’, including the analysis of open-ended survey questions, transcribed interviews and speeches, wherever, in fact, the researcher is confronted with data in the form of natural language texts of social scientific interest. These methods are often used in exploratory data analysis, but can also be applied systematically with moderate statistical rigour in the development and testing of hypotheses at various theoretical levels, ranging from the statistics of word usage to changes within or between discourses over time. The general approach is in the tradition of content analysis, by which words which occur together in relatively close proximity in the same context are interpreted as relating to a common theme or concept in the discourse studied. We review a comprehensive set of tools to identify and visualize structures of co-occurrence of words and concepts both within, and in comparing, a number of texts. These produce results not essentially different from those reached by representing word co-occurrences in terms of network analysis or neural network programming using schematic linguistic templates of various kinds. A comparison of the relational data analysis vs. a dictionary-based MDS approach shows that these provide very close if not identical results, despite the fact that the underlying assumptions are frequently represented as different theoretical approaches.     

Impacts of trade liberalization in Canada's supply managed dairy industry

Trade is an integral part of the Canadian economy. The main institutional drivers governing trade are bilateral and multilateral agreements outlining permissible trade distorting measures. Since its inception in 1972, Canada's supply management system has remained protected throughout trade negotiations. The system appears, by any economic measure, to be having an increasingly disproportional influence in recent trade negotiations. However, trade agreements serve not only to maximize social surplus, but also to maximize some measure of political welfare. Canada has recently negotiated three prominent trade agreements: the Canada-European Union Comprehensive Economic and Trade Agreement (CETA) came into effect in the latter part of 2017; the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) came into effect at the end of 2018; and the Canada-United States-Mexico Agreement (CUSMA) could come into effect in 2020. Collectively, these agreements have guaranteed increased market access for fresh and processed dairy products. We build a spatial partial equilibrium model of the Canadian dairy industry consisting of three regions and 10 commodities to assess the individual and cumulative effect of these trade agreements. We pay particular attention to the institutional drivers within today's dairy sector: milk protein isolates; component pricing, including Class 7; and differential demand growth. We find that the aggregate impacts are: (a) a 1.4% decrease in the marginal retail price; (b) a 4.8% decrease in the blended producer price; and (c) an overall increase in social welfare of 7.8%. Worth noting, the decrease in producer surplus varies from 0.7% in the western region to 1.5% in Ontario. Our results may be relevant to future negotiations as well as the publicly promised compensation package for dairy producers.     

Corporate stakeholders,corporate valuation and ESG

In addition to explicit contracts, corporations issue their stakeholders implicit claims, including fair treatment of employees and the promise of continuing service to customers. Corporate value is created by selling these implicit claims for more than it costs to honour them. Recently, a new class of non-investor stakeholders, related to environmental, social and governance (ESG) issues, has arisen. Although many ESG advocates stress their role in creating shareholder value, they do not explain how this value creation occurs. This paper shows that implicit claims provide a critical link that ties non-investor stakeholders and ESG to shareholder value, both its creation and its possible destruction.     

Feed use intensification and technical efficiency of dairy farms in New Zealand

In recent years, the traditionally pasture‐based dairy farms in New Zealand have become more intensive by using higher proportions of supplementary feed. This trend has been attributed to a range of factors, such as productivity enhancement, overcoming pasture deficits and the improvement of body condition scores. However, there is a lack of knowledge as to how feed use intensification affects the technical efficiency of dairy farms in New Zealand. This paper addresses the research gap by estimating the impact of feed use intensification on the technical efficiency of New Zealand dairy farms, using a fixed effects stochastic production frontier model and a balanced panel of 257 farms from 2010 to 2013. The empirical results show that technical efficiency on New Zealand dairy farms is positively and significantly influenced by feed use intensification, herd size and milking frequency.     

Revenue Sharing with Heterogeneous Investments in Sports Leagues: Share Media,Not Stadiums

This study examines revenue sharing in sports leagues where franchises engage in multiple types of investments. Previous literature typically treats revenues and investments as homogeneous, but we add to the literature by differentiating between investment types and revenue sources. This is important because investment in talent leads to winning, which is a zero-sum game for the league and therefore owners have an incentive to limit talent investment. However, other investments, such as stadiums, are not a zero-sum game, and therefore the implications of revenue sharing are different for the league. We provide sufficient conditions under which it is more efficient to share media revenue compared to stadium revenue. We conclude by providing applications of this model.