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This paper explores the link between skill and qualification mismatch and labor productivity using cross-country industry data for 19 OECD countries. Utilizing mismatch indicators aggregated from micro-data sourced from the recent OECD Survey of Adult Skills (PIAAC), the main results suggest that higher skill and qualification mismatch is associated with lower labor productivity, with over-skilling and under-qualification accounting for most of these impacts. A novel result is that higher skill mismatch is associated with lower labor productivity through a less efficient allocation of resources, presumably because when the share of over-skilled workers is higher, more productive firms find it more difficult to attract skilled labor and gain market shares at the expense of less productive firms. At the same time, a higher share of under-qualified workers is associated with both lower allocative efficiency and within-firm productivity – that is, a lower ratio of high productivity to low productivity firms. While differences in managerial quality can potentially account for the relationship between mismatch and within-firm productivity, the paper offers some preliminary insights into the policy factors that might explain the link between skill mismatch and resource allocation.

Purpose – Although the US has lagged behind international developments in health technology assessment (HTA), renewed interest in HTA in the US has been fueled by the appropriation of $1.1 billion comparative effectiveness research (CER) in 2009 and the debate over health care reform.

Approach – To inform CER practices in the US, we present case studies of HTA from England/Wales and Germany: contrasting methods; relevance to the US; and impact on innovation.

Findings – The National Institute of Health and Clinical Excellence (NICE) was established in 1999 to inform trusts within the National Health Service of England and Wales. It uses cost-effectiveness analysis to guide the allocation resource across preventative and curative interventions. In Germany, the Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG) was established in 2004 to inform reimbursement and pricing policies for the statutory sickness funds set by the Gemeinsamer Bundesausschuss (G-BA). IQWiG evaluates competing technologies within specific therapeutic areas, placing more weight on clinical evidence and the relative efficiency of competing therapies.

Practical implications – Although having deep political and cultural antecedents, differences between NICE and IQWiG can be explained by perspective: the former guiding resource allocation across an entire system (macro-evaluation), the latter focusing on efficiency within the bounds of a particular therapeutic area (micro-evaluation). Given the decentralized nature of the US health care system, and the relative powers of different medical specialties, the IQWiG model presents a more suitable case study to guided CER efforts in the US.

The purpose of this chapter is to cover banking efficiency using the concept of the Meta frontier function and to study group and subgroup differences in the production technology. This study estimates the technical efficiency (TE) and technology gap ratios (TGRs) for banks in Islamic countries. Using the assumption of the convex hull of the Meta frontier production set using the virtual Meta frontier within the nonparametric approach as presented by Battese and Rao (2002), Battese et al. (2004), and O'Donnell et al. (2007, 2008) and after relaxing this assumption, the study investigates if there is a significant difference between these two methods. To overcome the deterministic criterion addressed to nonparametric approach, the bootstrapping technique has been applied. The first part of this chapter covers the analytical framework necessary for the definition of a Meta frontier function and its estimation using nonparametric data envelopment analysis (DEA) in the case where we impose the assumption of the convex production set and follows in the case of relaxation of this assumption. Then we estimated the TE and the TGR in concave and nonconcave Meta frontier cases by applying the Bootstrap-DEA approach. The empirical part will be reserved for highlighting these methods on data bank to study the technical and technological performance level and prove if there is a difference between the two methods. Three groups of banks namely commercial, investment, and Islamic banks in 17 Islamic countries over a period of 16 years between 1996 and 2011 are used.

Over the past decade most central governments across sub-Saharan Africa (SSA) have begun to decentralize some fiscal, political, and administrative responsibilities to lower-levels of government, local institutions, and the private sector in pursuit of greater accountability and more efficient service delivery, often in an attempt to solve broader political, social, or economic problems (SARA, 1997). Education, in particular, has been fertile ground for such decentralization efforts. From Ethiopia to South Africa, SSA countries have engaged in some form of education decentralization, though the pace has been quite uneven. Ethiopia, Uganda, Senegal, and South Africa, for example, are proceeding fast, while Ghana, Mali, Tanzania, and Zimbabwe are under way more slowly. Guinea, Niger, Zambia, and Nigeria are at the other end of the continuum. Decentralization of social services, including education appears to be embedded in the political changes occurring in the region. In almost all SSA countries the introduction of decentralized systems are accompanied by popular elections for local councils as part of the general trend of the introduction of or return to democratization.

This paper offers an overview of the defining traits of the Spanish National Health Service (Sistema Nacional de Salud, in Spanish), as well as an account of its current trends in both spending and organisational changes. Beyond a thorough description of the Spanish public health-care system and its main quantitative indicators, we offer a critical review of the ongoing decentralisation process of health-care provision and its recent trends in pharmaceutical spending.

The text is organised in the following two parts. Part 1 provides an overview of the Spanish health-care system, structured in several sections. It starts by placing Spain within a classification of international health-care systems and is followed by an account of the importance of public provision in the Spanish case. A relation of the guiding principles of the Spanish public system concludes the first part. The second part focuses on two key developments that have shaped the evolution of the Spanish health-care system in the recent decades. The first is the process of decentralisation of health-care; the section explains the challenges arising with the transference of health-care provision responsibilities from the central to regional governments. The second section critically reviews the recent expansion of drug-related spending in the Spanish health-care system, and the policy responses to attempt to contain health-care costs.

Political economy of trade policies and tariffs can affect welfare distribution and resources allocation as well as sustainable development. Political economy of trade between two countries can be affected by trade between other countries. Global trade can be affected by the bilateral trades of the countries. Impact of their bilateral trades on the global economy and global trade can be increased in case these two particular countries have big share in and influence on the global economy. Based on an in-depth literature review, this chapter aims to investigate political economy of the trade tariff and trade policies with particular focus on China’s economy, US, and China trade policies as well as their roles and impacts on global policy. Furthermore, recommendations for future trade policies and trade tariff strategies have been provided for enhancing global wealth and sustainable development. This chapter emphasizes the importance of sustainability in trade and trade policies’ roles in efficient resource allocation, welfare increase, and sustainable delvelopment. Furthermore, trade policies, taxes, and tariffs are recommended to be balanced based on the mutual trust, and common goals among trading countries. This chapter further emphasizes that trade policies need to promote ­sustainable supply globally.

Supplier selection is a complex and strategic activity needed in every organization, involving many stakeholders and different attributes as price, delivery performance, and product quality. Globalization, in the last decades, increased the competitiveness between vendors, enhancing the use of decision models to support the best choice based on optimizations and bidding variations due to specific needs. This chapter presents three models of multi-dimensional auctions to improve an international humanitarian NGO process procurement efficiency by reducing procurement costs and the decision-making process time. These models have the advantage to be easily implementable in typically complex environments where there is a large number of categories, suppliers, and other features.

The first proposed model uses combinatorial auctions and is suited for procurement, where suppliers can benefit from cost complementarity. The second one uses volume discount auctions and is suited for volumetric purchases, where discounts for large quantities are common. The third one is a multi-attribute model, which computes the best possible solution considering several criteria and can be used in case of complex purchases that involve various categories and trade-offs and are subject to spot prices.

Several design considerations for this type of auctions are reviewed, as well as the mathematical formulation to determine the best alternative (i.e., winner) that can be solved using simple tools like Microsoft Excel. The models are optimized by a mixed-integer programming, and the multi-attribute one is developed using multi-criteria decision analysis (MCDA). All three models developed in this research showed superior results compared to the baseline, being between 9% and 20% more efficient than a regular supplier selection (singly choosing the lowest price) and improving the bidding compliance.