The impact of population growth and climate change on food security in Africa: looking ahead to 2050

Providing nutritious and environmentally sustainable food to all people at all times is one of the greatest challenges currently facing society. This problem is particularly acute in Africa where an estimated one in four people still lack adequate food to sustain an active and healthy life. In this study, we consider the potential impact of future population growth and climate change on food security in Africa, looking ahead to 2050. A modelling framework termed FEEDME (Food Estimation and Export for Diet and Malnutrition Evaluation) was used which was characterized to model the impacts of future climate changes (utilizing the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios projections) and projected population growth on food availability and subsequent undernourishment prevalence in 44 African countries. Our results indicate that projected rapid population growth will be the leading cause of food insecurity and widespread undernourishment across Africa. Very little to no difference in undernourishment projections were found when we examined future scenarios with and without the effects of climate change, suggesting population growth is the dominant driver of change. Various adaptation options are discussed, such as closing the yield gap via sustainable intensification and increasing imports through trade and aid agreements. These strategies are likely to be critical in preventing catastrophic future food insecurity.     

Organising migrant workers: the living wage campaign at the University of East London

This critical case study looks at the campaign led by Citizens UK and Unison to get the University of East London (UEL) to sign up to the London living wage (LLW). UEL agreed to pay the LLW after a brief campaign in November 2010 and it was subsequently implemented in August 2011. The study charts the course of the campaign and draws on mobilisation theory and new primary research to account for its success. What our findings suggest is that community organisers and union activists were able to organise and mobilise a largely apolitical group of migrant workers. This, we suggest, can be explained by the successful mobilisation of the community and augurs well for future broad‐based campaigns.     

The Case Against a U.S.-Arms Monopoly

The U.S. government is the dominant player in the global arms market. Existing literature emphasizes the many benefits of an international U.S. government arms monopoly including: regional and global balance, stability and security, the advancement of U.S. national interests, and domestic economic benefits from international sales. The purpose of this paper is to balance this largely one-sided treatment of the U.S. government’s dominant position in the international arms market. We discuss several negative consequences and costs associated with U.S. arms sales which call into question the net benefit of the U.S. government’s control over global arms.     

Measuring the Diffusion of Technologies Through International Trade

International Advances in Economic Research - Technological advancements affect economic growth, income distribution and levels of unemployment. However, quantifying the pace of technological...     

Depreciation of Business R&D Capital

We develop a forward-looking profit model to estimate the depreciation rates of business R&D capital. By using U.S. government data between 1987 and 2007, and the newly developed model, we estimate both constant and time-varying industry-specific R&D depreciation rates. The results comprise a set of R&D depreciation rates for major U.S. high-tech industries. They align with the main conclusions from recent studies that the rates are in general higher than the traditionally assumed 15 percent and vary across industries. The relative ranking of the constant R&D depreciation rates among industries is consistent with industry observations and the industry-specific time-varying rates are informative about the dynamics of technological change and the levels of competition across industries. Lastly, we also present a cross-country comparison of the R&D depreciation rates between the U.S. and Japan, and find that the results reflect the relative technological competitiveness in key industries.     

Greening the Street-Level Procurer: Challenges in the Strongly Decentralized Swedish System

This article investigates the every-day street-level practice of green public procurement (GPP) in Sweden, a country with one of the most decentralized systems of public administration within the European Union (EU). The street-level procurement officers in Swedish local and regional government are in charge of purchases estimated to represent between 10% and 15% of Sweden’s GDP. This article examines the constraining and enabling factors behind the individual procurement officer’s choice of green procurement in textiles and clothing through a combination of qualitative interviews and a review of documentary sources. The analysis shows that while indirect support through European and national soft regulation and policy advice is imperative for “greening” procurement, the direct factors which influence the local outcome of GPP comprises factors on the local level: political commitment and environmental knowledge, the organizational structure of local government and the local interpretation of the regulatory framework. This study shows that a decentralized structure has possibilities of furthering ambitions of buying green if there are committed politicians and public officials, an optimal level of internal centralisation and an external support structure of knowledge and enabling rules.     

Performance measurement,modes of evaluation and the development of compromising accounts

In this paper we develop the concept of compromising accounts as a distinctive approach to the analysis of whether and how accounting can facilitate compromise amongst organizational actors. We take the existence of conflicting logics and values as the starting point for our analysis, and directly examine the ways in which the design and operation of accounts can be implicated in compromises between different modes of evaluation and when and how such compromises can be productive or unproductive. In doing so, we draw on Stark’s (2009: 27) concept of ‘organizing dissonance’, where the coming together of multiple evaluative principles has the potential to produce a ‘productive friction’ that can help the organization to recombine ideas and perspectives in creative and constructive ways. In a field study of a non-government organization, we examine how debates and struggles over the design and operation of a performance measurement system affected the potential for productive debate and compromise between different modes of evaluation. Our study shows that there is much scope for future research to examine how accounts can create sites that bring together (or indeed push apart) organizational actors with different evaluative principles, and the ways in which this ‘coming together’ can be potentially productive and/or destructive.     

Information in generalized method of moments estimation and entropy-based moment selection

In this paper, we make five contributions to the literature on information and entropy in generalized method of moments (GMM) estimation. First, we introduce the concept of the long run canonical correlations (LRCCs) between the true score vector and the moment function f(_vt,_θ0)$f(v_t,{\theta }_0)$ and show that they provide a metric for the information contained in the population moment condition E[f(_vt,_θ0)]=0$\mathrm{E}[f(v_t,{\theta }_0)]=0$. Second, we show that the entropy of the limiting distribution of the GMM estimator can be written in terms of these LRCCs. Third, motivated by the above results, we introduce an information criterion based on this entropy that can be used as a basis for moment selection. Fourth, we introduce the concept of nearly redundant moment conditions and use it to explore the connection between redundancy and weak identification. Fifth, we analyse the behaviour of the aforementioned entropy-based moment selection method in two scenarios of interest; these scenarios are: (i) nonlinear dynamic models where the parameter vector is identified by all the combinations of moment conditions considered; (ii) linear static models where the parameter vector may be weakly identified for some of the combinations considered. The first of these contributions rests on a generalized information equality that is proved in the paper, and may be of interest in its own right.