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This article presents a set of techniques to measure and analyse the structure of the information economy of a country using input‐output methods. Published national data bases for many countries fail to identify the information economy and the focus has been on the measurement of conventional sectors such as agriculture, manufacturing and services. However, it is now widely recognised that the information sector is emerging as a major force in the restructuring and growth of many economies in the world. The measurement and analysis of this information economy is invaluable for proper policy formulation in this information age. The article demonstrates the operational nature of the techniques proposed herein, by their application to Australia and a few developing economies in the Pacific.

Historically, the World Bank has been the largest external financier of education in the world, committing a peak amount of just over $5 billion in Fiscal Year (FY) 2010 through both its Education Sector projects and multisector projects managed by other sectors (World Bank, 2010b). The World Bank also hosts the Education for All-Fast Track Initiative (EFA FTI). Launched in 2002, EFA FTI is a partnership of governments, civil society organizations, and multilateral agencies such as United Nations Educational, Scientific and Cultural Organization (UNESCO) and the World Bank, which provides grant funding and technical assistance to implement the basic education components of national education strategies. By providing significant funding for education in low-income countries (LICs) through its own International Development Association (IDA) and by managing the majority of EFA FTI grant funding, the World Bank has a major impact on the direction of education development around the world.

In 2011 the Bank released a new Education Sector Strategy, Learning for All, which sets out the World Bank Education Sector's approach to education development over the coming decade. The analysis in this chapter examines the role of the EFA FTI and the growth of World Bank education operations managed outside the World Bank Education Sector, as well as their influence on Bank education lending objectives in sub-Saharan Africa. We examine trends in World Bank and EFA FTI basic education financing in sub-Saharan African countries that have joined the EFA FTI partnership to compare these two sources of financing for primary education and analyze the extent to which the World Bank is substituting its primary education lending with grants from the EFA FTI. We also assess the results frameworks of 10 multisector operations managed by noneducation sectors (Economic Management and Poverty Reduction; Urban Development; Rural Sector; Population, Health, and Nutrition; and Social Protection) to ascertain the extent to which they include education objectives and indicators. The chapter focuses its research around two questions:1.Is there evidence that financing from the EFA FTI is substituting World Bank financing for education in sub-Saharan Africa?2.Are World Bank multisector operations well designed to achieve education objectives in sub-Saharan Africa?

The research finds that the EFA FTI has almost certainly impacted the demand for IDA financing for basic education development. The comparison of IDA and EFA FTI primary education financing shows country-level substitution is occurring in a number of sub-Saharan African countries, with at least 13 out of 18 EFA FTI grant recipients in sub-Saharan Africa receiving a declining share of IDA financing for primary education since joining the EFA FTI.

Second, multisector operations now account for one-third of Bank education lending and have increased to comprise half of all new education commitments in sub-Saharan Africa. The research finds that multisector operations with education components are not as effective or accountable for education outcomes as those managed by the Education Sector, unless they are explicitly linked to national education plans. Given the disconnect between Education Sector managed education lending, and financing for education managed by other Bank sectors, it is unclear how the latter will be guided by the Bank's Education Sector Strategy, which will only apply to half of all Bank education lending for sub-Saharan Africa. Currently, there is no guarantee that both EFA FTI funding and noneducation sector managed lending will be measured against World Bank education strategy standards, and yet the Education Sector Strategy 2020 does little to address these challenges.

The purpose of this paper is to undertake a qualitative case-based analysis of the factors affecting the capability of primary sector rural entrepreneurs to manage regulation. The authors suggest a conceptual framework to aid understanding of their skill and capability when managing regulation.

Using a multiple case study approach the entrepreneurial skill of rural entrepreneurs is examined in light of three sets of factors: institutional regulatory, social capital and economic market.

The case analysis indicates diversity in the skill of rural entrepreneurs to manage regulation across sub-sectors including dairy and stock farming, fruit growers and vegetable/horticultural producers. The conceptual framework indicates that there are three areas that influence entrepreneurial skill: relationships with national cooperatives, relationships with the institutional regulatory environment and relationships with the economic market environment. This provides the authors with a conceptual framework to aid understanding of the interplay of factors affecting entrepreneurial skill and capability to manage regulation.

This study contributes to the emerging stream of literature highlighting the importance of industry sector context for understanding the complex and differing regulatory effects on entrepreneurs’ skill and hence capability to manage. Case comparisons allow the authors to explain and understand why entrepreneurs that operate similar businesses within the same sector respond differently to regulation.

The purpose of this paper is to explore the nature and value of the clinical management role undertaken by primary care doctors in Ireland. To date, a majority of research has focused on clinical management roles in the acute sector.

The paper presents a sub‐set of data from a mixed methods study. In total, 14 semi‐structured interviews are drawn upon to identify the nature and value of the clinical management role in primary care.

Comparison with acute sector research identifies considerable differences in the nature of the clinical management role across sectors – and in the associated value proposition. Structural and role‐related contingencies affecting the potential value of clinical management roles in Irish primary care are discussed. Structural influences include the private ownership structure, low complexity and limited requirement for cross‐professional coordination. Role‐related influences include the primacy of the clinical identity, time constraints and lack of managerial training.

The findings provide a limited basis for generalisation, premised on 14 interviews in one national context. However, given the international shift towards the provision of health services in primary care, they provide a research agenda for an important healthcare context.

The findings draw attention to the need for policy consideration of the value of the clinical manager role in primary care; how policy can support effective primary care management; and the need for specialised management training, which takes account of the small‐firm context.

The paper identifies that primary‐care clinical‐management roles focus on operational management and oversight and discusses the structural and role‐related factors which affect their efficacy.

The global recession caused by the COVID-19 pandemic has led to the closure of thousands of village-owned enterprises (VOEs), which are community-managed enterprises that operate in the hostile rural areas in emerging economies. Thus, considering that a Schumpeterian view of economic downturn sees recessions as times where old products/services decline while new products/services emerge, this paper aims to explore the specific innovation-based diversification strategies that matter for the survival of emerging economy VOEs in recession periods to develop new theoretical insights.

The study is based on multiple-case studies of 13 leading VOEs operating in the rural areas of Java Island in Indonesia, an emerging economy. The data was analysed using within-case and cross-case analyses.

Overall, a number of major novel findings have emerged from the analysis, based on which the authors developed several new propositions. First, from the perspectives of both new product and new service diversification, “unrelated diversification” is the primary resilience strategy that seems to be associated with the survival of VOEs in the COVID-19 recession, over and above “related diversification”. Second, from an industrial sector diversification perspective, the most dominant resilient strategy for surviving the recession is “unrelated diversification into tertiary sectors (service sector)”, over and above diversification into the primary sector (agriculture, fisheries and mining) and secondary sector (manufacturing and construction).

The authors contribute to the literature on entrepreneurship in emerging economies by identifying the resilience diversification strategies that matter for the survival of VOEs in recession.

Examines factors such as the trend to globalisation, triggers for change such as advances in information technology (IT), changing organisation structures and adoption of business process re‐engineering using the findings of a questionnaire. Questions addressed the topics of: industrial sector, organisational strategy, structure, people, performance, and the role of IT. The key findings included: that globalisation was a real and significant force for change affecting organisation strategy, operations, and characteristics; that alternative organisation strategies lead to varying organisational success, and scope for improvement; and that evolution (rapid or slow) to a virtual enterprise is feasible for most firms.

Innovation is a growing topic. The primary sector is also a subject that has great importance in the global economy. However, limited research has been conducted linking these two subjects. This paper aims to start bringing them together.

The method selected is a systematic literature review presenting a thorough analysis of the existing discussions and a summary of the findings to identify future research opportunities.

Innovation has played and will continue to play an essential role in the success of fisheries. The fishing industry is in crisis. A decline in wild fish stocks, regulations and quota management are some of the factors that drive the need to innovate. The discussions of innovation in this industry are non-technological, which is an emerging field with opportunities for further research. There is a strong focus on fisheries sustainability. The main theoretical frameworks discussed in the literature are common property theory, cooperation and competition theory and diffusion of innovation. Emerging environmental sustainability frameworks are also becoming an essential element in the primary sector.

This paper focuses on peer-reviewed publications based on the results of the searches from selected keywords, recognizing that the literature evaluated may not cover the full spectrum of themes related to this subject.

Innovation is usually linked to high tech and fast-moving industries. This paper tries to broaden this paradigm and evaluate it from a different perspective, with a focus on the primary sector.

Examines the construction of the funding formula, following the 1988 Education Act, used to determine the levels of devolved budgets in three English local education authorities (LEAs). Explains that, in each LEA, a team was formed to determine the funding formula. Also explains that, as most schools pre‐local management of schools (LMS) only kept aggregate records showing the cost of education at the levels of primary/secondary sectors rather than individual school level, the LMS teams faced serious problems in defining budget parameters, identifying cost elements and attributing costs to functions. More critically, points out that while the 1988 Education Act made it clear that the new budgeting system should be comprehensive in the sense of not merely reflecting past expenditure patterns but being based on perceived education needs, the LMS teams developed funding formulae which predominantly preserved the status quo established by historical expenditure patterns. Explores both the arguments and the mechanisms which each LMS team deployed in order to produce an incrementalist budgeting system and the constraints that operated on incrementalism.

Foreign direct investment (FDI) is a strategic decision for achieving competitive advantage by multinational enterprises. The purpose of this paper is to explore the role of institutional determinants of FDI using data from 24 emerging markets including China, India, Indonesia, Turkey, Thailand, Malaysia and Pakistan.

In order to identify factors that attract FDI in emerging markets, this study has used data from sources such as the World Bank, Index of Economic Freedom and UNCTAD.

The findings of this research indicate that infrastructure quality, trade cost measured by tariff and non-tariff barriers, institutional quality measured by effective rule of law, political stability, regulatory quality and control on corruption are significant determinants of FDI in emerging markets.

This is the first study to analyze the sectoral institutional determinants of Inward FDI in the important emerging economies, to the best of authors’ knowledge.

Considers an application of adaptive control policy to dynamic input‐output systems of Japanese large‐scale industrial (primary, secondary and tertiary) sectors by neural networks. The adaptive control policy has three steps. The first is to obtain the optimal control policy such that the minimization of the weighted sum of the squared deviation between the actual targets and the desired subject to econometric models is achieved. The second is to determine the optimal outputs for each industrial sector through dynamic input‐output system under the optimal control policies. The third is to obtain the network outputs by neural network algorithm through the controlled output equations derived from DIO system. We consider what affects the outputs if the optimal control policy was adopted, and how the change of industrial structure has occurred after the bubble burst in 1990s in Japan during 1985 through 1993, and we predict the future of the industries up to 2010 by using DIO linked to the final demand econometric models of the Japanese industrial sectors by simulation.