FROM INSTITUTIONS TO FINANCIAL DEVELOPMENT AND GROWTH: WHAT ARE THE LINKS?

This paper presents an integrated overview of the literature linking institutions, financial development, and economic growth. From the large body of research on institutional development, the paper first selects those contributions that make it possible to study the role of institutional arrangements in ameliorating/worsening the information frictions and transaction costs that characterize the development of financial markets. The paper then investigates the theoretical mechanisms by which these specific frictions affect economic growth and presents the stock of empirical evidence quantifying the impact of institutions on growth through financial development.     

Unbundling tolls from contracts: a new road PPP model

Considerable evidence from different countries has revealed important shortcomings in most road public–private partnership (PPP) models. In this paper a new PPP model is presented that overcomes some of the problems found in PPP road contracts. The new model is based on separating user tolls from the fees paid to PPP contractors and setting up new institutional arrangements to oversee PPPs.     

Assessing the effect of alternative land uses in the provision of water resources: Evidence and policy implications from southern Europe

Ecosystem goods and services have been brought to the forefront of policy making all over the world. It is acknowledged that these goods and services underpin human well-being. The provision of water resources is amongst those services that have raised more attention, given its unquestionable value and global threats like climatic change. Nevertheless, the biophysical basis that determines the land-use/water interactions has been often ignored. For the formulation of sound decisions, it is necessary to extend the empirical basis that determines these complex relations. With this aim, the present paper analyses the effect of alternative types of land cover in the provision of water resources. In doing so, we compare hydrological, meteorological and land-cover data obtained in 15 watersheds located in the Basque Country (Northern Spain). Moreover we discuss the implications of including water resources in land-use policy and planning and address areas for further research.     

Human capital,innovation and productivity in Colombian enterprises: a structural approach using instrumental variables

ABSTRACT

In this paper we explore the R&D–innovation–productivity linkage for the Colombian manufacturing industry, paying special attention to the role of human capital. Using data from two firm-level surveys, the Survey of Development and Technological Innovation (EDIT) and the Annual Manufacturing Survey (EAM), we extend the model of Crépon, Duguet, and Mairesse [1998. ‘Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.’ Economics of Innovation and New Technology 7 (2): 115–158] (hereafter CDM) by including human capital at the investment decision stage. We implement an instrumental variable methodology to correct the potential endogeneity that may arise with the inclusion of human capital. Our results suggest that human capital has a causal effect on research and development (R&D) investment decisions, the innovation behavior of the firm, and increases the labor productivity of the firm. The conclusions highlight the relevance of human capital in the surrounding literature which stands in contrast to prior work that has not included this variable.     

Introduction: Quality of Life Indicators

Economic growth has increased the potential for a materially more fulfilling life. But economic growth has a price: it undermines the contributions of households, communities, and nature, on which all economic activity depends. How can we make visible, in economic terms, the qualities that are lost as a consequence of excessive economic activity? In the spirit of these critical discussions, Feminist Economics has initiated this issue's exploration of quality of life: Which aspects of life do economists regard as essential to the concept? What can we learn from disciplines whose traditions of quality of life research are older than ours? The ten articles that follow suggest, in the brief form allowed by the format, a number of different ways to approach these questions.     

Payout yield,risk, and mispricing: A Bayesian analysis

We develop a simple parametric model in which hypotheses about predictability, mispricing, and the risk-return tradeoff can be evaluated simultaneously, while allowing for time variation in both risk and expected return. Most of the return predictability based on aggregate payout yield is unrelated to market risk. We consider a range of Bayesian prior beliefs about the risk-return tradeoff and the extent to which predictability is driven by mispricing. The impact of these beliefs on an investor's certainty-equivalent return when choosing between a market index and riskless T-bills is economically significant, in both ex ante and out-of-sample analyses.     

The Theory and Practice of Corporate Risk Management*

The financial crisis of 2008 and the resulting recession caught many companies unprepared and, in so doing, provided a stark reminder of the importance of effective risk management. While academic theory has long touted the benefits of risk management, companies have varied greatly in the ways and extent to which they put theory into practice. Drawing on a global survey of over 300 CFOs of non‐financial companies, the authors report that while most CFOs felt that their risk management programs have significant benefits, the risk management function in general needs more attention. A large percentage of the finance executives surveyed acknowledged that the most important corporate risks extend far beyond the CFO's direct reports, and that risk‐based thinking is not incorporated into everyday business activities or corporate strategies. A large majority of executives also said they were seeking a more widespread understanding of risk throughout their organizations—and many confessed their firms' inability, or lack of interest, in evaluating their own risk management functions. At the same time, the efforts of most companies to develop enterprise‐wide risk management (ERM) programs were said to fall well short of the comprehensive and highly coordinated programs envisioned by the proponents of such programs. Three areas of opportunity were clearly identified as having potential to improve corporate risk management in ways that increase firm value over an entire business cycle:

• ? Incorporate risk management thinking into the strategic planning process. Line executives, and not just technicians, need to be sensitive to risks, thereby building flexibility into the firm's business plan and its execution.
• ? Clearly define the objectives of the risk management function, in part by developing appropriate benchmarks. The risk management process should be subject to the same rigorous evaluation process that is used when measuring risks throughout the business.
• ? Instill a risk management culture throughout the organization. While an effective risk management function is necessary, only when employees at all levels of the company embrace risk management as part of their daily operations will the firm get maximum value from risk management.

     

Trivariate non‐Gaussian copulas to analyze the spatial behavior of rat sightings

The brown rat lives with man in a wide variety of environmental contexts and adversely affects public health by transmission of diseases, bites, and allergies. Understanding behavioral and spatial correlation aspects of pest species can contribute to their effective management and control. Rat sightings can be described by spatial coordinates in a particular region of interest defining a spatial point pattern. In this paper, we investigate the spatial structure of rat sightings in the Latina district of Madrid (Spain) and its relation to a number of distance‐based covariates that relate to the proliferation of rats. Given a number of locations, biologically considered as attractor points, the spatial dependence is modeled by distance‐based covariates and angular orientations through copula functions. We build a particular spatial trivariate distribution using univariate margins coming from the covariate information and provide predictive distributions for such distances and angular orientations.