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We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices, event counts and limited-dependent variables (truncation, censoring, and sample selection) among others. Our algorithm relies upon a novel implementation of efficient importance sampling (EIS) specifically designed to exploit typical sparsity of high-dimensional spatial precision (or covariance) matrices. It is numerically very accurate and computationally feasible even for very high-dimensional latent processes. Thus, maximum likelihood (ML) estimation of high-dimensional non-Gaussian spatial models, hitherto considered to be computationally prohibitive, becomes feasible. We illustrate our approach with ML estimation of a spatial probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices.

To summarize the shocks and stresses that peasants in Mexico have been subjected to since the 1940s and to examine the responses of sons of peasants working as semi-informal beach vendors in Cabo San Lucas as to what they define as the worst problems of the peasantry in their hometowns.

This chapter offers an analysis of the responses of 32 sons of peasants interviewed on Medano Beach in Cabo San Lucas in October of 2012 partially as concerns whether they would like to be peasants themselves and as to what they define as the worst problems of the peasantry in their hometowns.

Twenty-five of the thirty-two vendors interviewed would be happy to be peasants. According to all of the vendors, the overwhelming problems facing the peasantry were primarily droughts or floods (related to climate change) and lack of government aid (related to neoliberalization).

The peasantry in Mexico is being and has been marginalized both by a number of stresses and shocks, currently identified by some of those at risk as factors related to climate change and neoliberalization.

This chapter gives in “Introduction to the Human Capital Issue” a critical analysis of the standard (economic) Human Capital (HC) theory, with the help of some “traditional” (founding) accounting concepts. From this study, to avoid the accounting and social issues highlighted in “Introduction to the Human Capital Issue,” we present, in “The “Triple Depreciation Line” Model and the Human Capital,” the “Triple Depreciation Line” (TDL) accounting model, developed by Rambaud & Richard (2015b), and we apply it to “HC,” but viewed as genuine accounting capital – a matter of concern – that firms have to protect and maintain.

From a critical review of literature on HC theory, from the origin of this concept to its connection with sustainable development, this chapter provides a conceptual discussion on this notion and on the differences/common points between capital and assets in accounting and economics. Then, it uses a normative accounting model (TDL), initially introduced to extend, in a consistent way, financial accounting to extra-financial issues.

This analysis shows at first that the standard (economic) HC theory is based on a (deliberate) confusion between assets and capital, in line with a standard economic perspective on capital. Therefore, this particular viewpoint implies: an accounting issue for reporting HC, because “traditional” accounting capital and assets are clearly isolated concepts; and a societal issue, because this confusion leads to the idea that HC does not mean that human beings are “capital” (i.e., essential), or have to be maintained, even protected, for themselves. It only means that human beings are mere productive means. The application of the TDL model to an accounting redefinition of HC allows a discussion about some key issues involved in the notion of HC, including the difference between the standard and “accounting” narratives on HC. Finally, this chapter presents some important consequences of this accounting model for HC: the disappearance of the concept of wage and the possibility of reporting repeated (or continuous) use of HC directly in the balance sheet.

This chapter contributes to the literature on HC and in general on capital and assets, by stressing in particular some confusions and misunderstandings in these concepts. It fosters a cross-disciplinary approach of these issues, through economic, accounting, and sustainability viewpoints. This analysis also participates in the development of the TDL model and the research project associated. It finally proposes another perspective, more sustainable, on HC and HC reporting.

The stakes of HC are important in today’s economics, accounting, and sustainable development. The different conceptualizations of HC, and the narratives behind it, may have deep social and corporate implications. In this context, this analysis provides a conceptual, and practicable, framework to develop a more sustainable concept of HC and to enhance working conditions, internal business relations, integrated reporting. As an outcome of these ideas, this chapter also questions the standard corporate governance models.

This chapter gives an original perspective on HC, and in general on the concept of capital, combining an economic and an accounting analysis. It also develops a new way to report HC, using an innovative integrated accounting model, the TDL model.

The authors of this book (hereafter BLS) reject the notion that the term “capitalism” denotes a unique type of economic system and distinguish instead among four forms it can take: state-guided capitalism, oligarchic capitalism, big-firm capitalism, and entrepreneurial capitalism. As suggested by the terms “good capitalism, bad capitalism” in the title, they examine both the positive and the normative implications of each type of capitalism and how consistent each type has been, in the various economies that adopted it, with the overall objective of promoting growth and prosperity. This book is thus about economic systems, the principles on which they are built, and economic growth. There are occasional references to authors of the classical, neoclassical, and Keynesian eras such as Richard Cantillon, John M. Keynes, T. Robert Malthus, David Ricardo, Jean-Baptiste Say, Joseph Schumpeter, Adam Smith, and Max Weber. Some of these are accompanied by brief quotations, but (as is to be expected from the very different interests of the authors of this book) no textual analysis of them or speculations about their influence on the history of economic thought. Given the authors’ emphasis on the effects of capitalism on economic growth, they also briefly discuss early theorists of economic growth such as Roy Harrod, Evsey Domar, Nicholas Kaldor, Robert Solow, and Trevor Swan and – in much greater detail – the theoretical, empirical, and historical work on growth theory that followed them, up to and including the “new growth theory” of Arrow, Romer, Lucas, and others. Chapters 2 and 3, titled “Why economic growth matters” and “What drives economic growth?,” introduce the general reader to the importance of economic growth to both developed and developing economies and the essentials of modern growth theory. While these are valuable supplements to the book for readers not familiar with them, these chapters are not discussed here since their main features are found in textbooks on economic development, macroeconomics, and growth theory.

Purpose — In this chapter a case will be made for the importance of measuring well-being in transport mobility research. A number of well-being measures and determinants of well-being will be presented in reference to the current project. This chapter will then conclude with some practical recommendations for transport mobility researchers wishing to include well-being measures in their future studies.

Methodology — Measurement methods associated with previous transport mobility and well-being research will be critically examined so that strengths and limitations can be identified. The measurement approach to well-being adopted for the current project will be presented and associated challenges experienced by the research team will then be discussed.

Findings — A review of the extant transport mobility research which includes an assessment of well-being shows that it is not uncommon for unstandardised measures of well-being to be adopted. In addition, exploration of relationships between transport mobility and well-being are often undertaken without any consideration of potential moderating or mediating factors. More work is needed to advance our knowledge of the transport mobility and well-being relationship and the underlying mechanisms driving this relationship. Research also needs to focus on undertaking longitudinal studies which will enable causation to be established.

Standard macro theories have the same analytical structure as their micro counterparts. Where micro theories work with equilibrium between supply and demand for particular products, macro theories work with equilibrium applied to aggregates of products. This common approach treats the micro–macro relationship as scalable, with macro variables being aggregations over micro variables. In contrast, we pursue a systems-theoretic approach to the micro–macro relationship. This relationship is not scalable and rather entails a disjunction between micro- and macro-levels of theory. While micro phenomena are still susceptible to choice-theoretic analysis, macro phenomena are products of ecological interaction and so entail emergent phenomena. Our alternative approach treats macro theory as a form of systems theory where the behavior of the system has properties that are not reducible to properties of the individual elements within that system. Besides sketching this alternative approach, we examine some of the different insights this approach offers into such topics as unemployment and stabilization.

As the primary target of the school reform movement, urban education remains the most difficult to assess and repair. Indeed, the crisis evident in urban school systems mirrors many of the problems found in big cities themselves — poor economic conditions for schools and families, personnel shortages and high turnover rates, improper facilities and materials, and political struggles over issues of structure and control. This book analyzes the problems effecting urban schools and their students and some of the efforts that have been developed to make these schools more accountable and effective.