Cultural Tourism And Flamenco In The City Of Cordoba (Spain)

Flamenco is a tourist product that can attract many visitors from around the world, and the city of Cordoba (Spain) has an important role in the origins of flamenco. This work studies whether the satisfaction of cultural tourists who visit the city can be influenced by cultural offers related to flamenco. To achieve this objective, fieldwork was carried out based on 709 surveys conducted in the most important flamenco “tablaos” (stages) of the city. The techniques of factorial analysis and linear adjustment were used. The results show that flamenco can be a product that complements the satisfaction of cultural tourists.     

Critical Situations for Decision Making: A Support Based on a Modelling Tool

This paper proposes to give a toll to help decision makers in critical situations. The principle of our research is based on a modelling approach for Cooperative Knowledge Based Systems. This approach is based on a Task/Method paradigm that we describe. We then propose to take into account collateral effects of tasks in order to support decision makers in a critical context. The proposed tool can then generate a degraded solution for which, collateral effects of previous tasks have been taken as new goals to reach. This study is possible thanks to the definition of several kinds of models: a Good Functioning Model and a Degraded Tasks Library.     

MULTIVARIATE VOLATILITY MODELING OF ELECTRICITY FUTURES

We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional correlation (mDCC) model to separate long‐run from short‐run components. We allow for smooth changes in the unconditional volatilities and correlations through a multiplicative component that we estimate nonparametrically. For the short‐run dynamics, we use a GJR‐GARCH model for the conditional variances and augmented DCC models for the conditional correlations. We also introduce exogenous variables to account for congestion and delivery date effects in short‐term conditional variances. We find different correlation dynamics for long‐ and short‐term contracts and the new model achieves higher forecasting performance compared \to a standard DCC model. Copyright © 2012 John Wiley & Sons, Ltd.     

A quantitative determination of the food security status of rural farming households in the Northern Province of South Africa

The majority of South Africans living in rural areas are food insecure despite high levels of national food self-sufficiency. The household food security position of two groups of rural farming households in the Venda region was evaluated quantitatively: one group produces vegetables that are sold or consumed locally, the other group produces cash crops – mangoes and other subtropical fruits. Using the collected data, food availability and energy, protein and fat requirements were calculated and balances derived. It was found that more than 80 per cent of the households had a negative balance of energy, protein and fat intake. The average energy, protein and fat coverage consumption was the same for both groups of farmers. A number of agricultural determinants were tested, but only non-agricultural determinants were found to be significant. These include household size, household (food) expenditure and proportion of the budget spent on food.     

Improving the estimation of total factor productivity growth: capital operating time in a latent variable approach

Measuring labor and capital services accurately is essential to obtaining reliable estimates of production functions and total factor productivity (TFP) growth. Using data on the operating time of capital, a series that exists for the French business sector, greatly improves the measurement of effective capital services in production. The ensuing estimation results are consistent with Cobb–Douglas technology under constant returns to scale, with the factor elasticities not statistically different from their income shares. In the same framework, TFP growth is estimated as a latent variable and found to be less volatile than accounting residuals, negatively correlated with employment, and free of cyclicality. It is statistically best estimated as a first-order autoregressive process, with an autoregressive coefficient of 0.95. Total factor productivity growth was estimated to have declined steadily between the mid-1970s and mid-1990s, but the rate of decline has diminished since then.     

Bankruptcies and economic history the example of France

The study of French bankruptcy archives has resulted in extensive research into the 18th and 19th centuries. No synthesis has been completed yet. A preliminary review of the literature on the subject is presented here, focusing on three stages: the archives, the statistics, and the data utilization.     

Corporate social responsibility reporting: A comprehensive picture?

This study develops a content analysis framework that provides information on the comprehensiveness of corporate social responsibility (CSR) reporting, an important aspect of social and environmental accountability. Comprehensive reporting, as defined here, requires three types of information for each disclosed CSR item: (i) vision and goals, (ii) management approach, and (iii) performance indicators. The feasibility of the framework to assess the comprehensiveness of CSR reporting is demonstrated using the 2005 annual reports of a sample of publicly traded Belgian companies. The content analysis reveals a low level of comprehensive reporting. This finding complements those of prior studies on the completeness of CSR reporting and, therefore, feeds the debate regarding the extent to which CSR reporting can be considered a mechanism for discharging social and environmental accountability.     

Is ethical money financially smart? Nonfinancial attributes and money flows of socially responsible investment funds

We study the money flows into and out of socially responsible investment (SRI) funds around the world. In their investment decisions, investors in SRI funds may be more concerned with ethical or social issues than with fund performance. Therefore, SRI money flows are less related to past fund returns. Ethical money is less sensitive to past negative returns than are conventional fund flows, especially when SRI funds primarily use negative or Sin/Ethical screens. Social attributes of SRI funds weaken the relation between money inflows and past positive returns. However, money flows into funds with environmental screens are more sensitive to past positive returns than are conventional fund flows. Stock picking based on in-house SRI research increases the money flows. These results give evidence on the role of nonfinancial attributes, which induce heterogeneity of investor clienteles within SRI funds. We find no evidence of a smart money effect, as the funds that receive more inflows neither outperform nor underperform their benchmarks or conventional funds.     

Local Geographic Spillovers between University Research and High Technology Innovations

This paper re-examines the empirical evidence on the degree of spatial spillover between university research and high technology innovations. The familiar Griliches–Jaffe knowledge production function is estimated at both the state and the metropolitan statistical areas (MSA) level and extended with more precise measures of spatial spillover. Alternatives based on the gravity potential and covering indices are formulated for Jaffe's “geographical coincidence index” and found to provide strong evidence of local spillovers at the state level. At the MSA level, a distinction is made between research and development activities and university research in the MSA and in the surrounding counties. Evidence is found of local spatial externalities between university research and high technology innovative activity, both directly and indirectly via private research and development.     

Testing the Empirical Relationship between Best Management Practice Adoption and Farm Profitability

Several "best management practices" (BMPs) aimed at reducing movement of nutrients, pesticides, and sediment into surface water resources have been developed and promoted by Extension and other agencies over the past several years. This study utilizes actual farm-level economic and BMP adoption data to rigorously analyze the relationship between BMP use and farm profitability. Results indicate that adoption of nutrient BMPs has a significant positive effect on net farm income (NFI) for wheat and corn, while herbicide BMP adoption, particularly use of BMPs related to the application of atrazine on corn, has a small (but statistically significant) negative impact on income. Adoption of soil conservation BMPs is not shown to have a statistically significant impact on farm income.