The market valuation of ethical assets in Spain: an application of the hedonic pricing method

The aim of this paper is to calculate the market valuation of non‐financial characteristics, namely, the social responsibility criteria (social, ethical and environmental) included in the Spanish Socially Responsible Investment Funds. The hedonic price method is applied for this purpose. This method relates the price of Socially Responsible Investment Funds with both financial and social responsibility characteristics. Because of the large number of social responsibility characteristics included in these funds, prior to application of the hedonic price method, the principal components factor analysis technique is used. The data are taken from the prospectus for each fund and from the data provided by the National Securities Market Commission. Results indicate that the Spanish market is sensitive to the social responsibility practices of companies. In particular, the market value practices related to environmental sustainability, the enforcement of labour rights, sustainable production and consumption and non‐abusive market practices.     

The impact of electronic commerce on small and midsized spanish companies

Electronic commerce (EC) is not new for some European Union countries, but in others, such as Spain, it is only at the developmental stage. Now that Spain has joined the third phase of the economic and monetary union, Spanish companies' internationalization and the progressive change in the Spanish consumers' buying habits are determining the search for new business strategies. Starting with an analysis of the Spanish business environment, followed by an internal scanning of small and midsized Spanish companies, this paper will analyze the viability of EC as a new business strategy.     

Long haul freight network design using shipper–carrier freight flow prediction: A California network improvement case study

Transportation network design is a method for analyzing the interactive benefits of transportation projects applied to a network. In this paper, a network design model is developed for long haul freight movements which are represented by relationships between shippers and carriers. Additionally, an explicit capacity constraint is used to divert traffic volume from congested links. A case study based on the California transportation network is implemented to examine the effectiveness of this model when applied to a large network. A geographic information system is used to facilitate data management and analysis of the results.     

Self-employment of older Americans: do recessions matter?

As high unemployment rates linger following the latest recession, job opportunities can be sparse, especially for older workers. This might prompt older Americans to seek out opportunities in self-employment. Alternatively, recession-related decreases in economic activity might make self-employment less attractive. Using the Health and Retirement Study, we find that unemployed respondents are more likely to enter self-employment and that these decisions are clearly affected by recessions, although the effects differ by recession and gender. Unlike men, women’s self-employment decisions are very sensitive to other sources of household income, and women are less likely to become self-employed the deeper the recession.     

Trade Liberalisation and Economic Performance: Theory and Evidence for Developing Countries

The last five decades have witnessed a profound evolution of economic policy in developing countries, particularly in the case of trade strategies. Both internal, as well as external, factors have prompted the need for more outward‐oriented (or liberalised) trade policy regimes. The creation of the General Agreement on Tariffs and Trade (GATT) in 1947 and the World Trade Organisation (WTO) in 1995 have been important driving forces for free trade. Since then, the major quantitative barriers to trade, i.e. tariffs and non‐tariff barriers (quotas, licences and technical specifications, among other restrictions), have substantially been reduced or dismantled. Also, the progress towards more liberalised trade regimes, mainly in developing countries, has been manifested in the trade and development literature. Major studies suggest that the performance of more outward‐oriented economies is superior to that of those countries pursuing more inward‐looking trade practices (Greenaway and Nam, 1988; Dollar, 1992; Sachs and Warner, 1995; and Rodríguez and Rodrik, 2000). Recent developments in the international trade literature focus on the potential dynamic effects of trade liberalisation, i.e. simplification of tariff structures and elimination of non‐tariff barriers, in reducing the incentives to rent seeking and in accelerating the flow of technical knowledge from the world market. Moreover, there have been important advances regarding the study of trade liberalisation and its impact on exports, imports and the balance of payments, largely neglected in the literature, often driven by supply‐side considerations.     

Opportunities for artificial intelligence development in the accounting domain: the case for auditing

This paper reviews the nature of accounting and auditing problems and the need for application of artificial intelligence (AI) technologies to the discipline. The discussion includes current accounting issues for which new AI development should be fruitful, particularly auditing and assurance. Copyright © 2007 John Wiley & Sons, Ltd.     

A note on a value with incomplete communication

The Myerson's models on partial cooperation have been studied extensively [SIAM J. Discrete Math. 5 (1992) 305; Math. Methods Operations Res. 2 (1977) 225; Int. J. Game Theory 19 (1980) 421; 20 (1992) 255]. In [Game Econ. Behav. 26 (1999) 565], Hamiache proposes a new solution concept for communication situations. In this work, we analyze this value making some deficiencies clear and generalize this value to union stable cooperation structures emphasizing the differences in the extension.     

Tax Limits and Housing Markets: Some Evidence at the State Level

Property tax limitations, as well as other tax and expenditure restrictions on state and local governments in the United States, date back to the late 19th century. A surge in property tax limitation legislation occurred in the late 1970s and early 1980s, and its effects on government revenue, school financing and educational quality have been studied extensively. However, there is surprisingly little literature on how property tax limits affect housing markets. For the first time, we examine the impacts of property tax limitations on housing growth, in addition to their impacts on housing prices. Using state‐level data over 23 years, we find that property tax limits increase housing prices (indexes) by approximately 2%. Property tax limits appear to have little impact on the growth in the housing stock, but education spending limits reduce the number of building permits by over 6%. Our indirect evidence suggests that the number of housing units may grow when property tax limits are accompanied by increases in other own‐source revenues to state government.     

Nonparametric neural network modeling of hedonic prices in the housing market

This article addresses the contribution to hedonic modeling of a nonparametric approach based on artificial neural network (ANN) regressions. ANNs provide consistent estimates for the hedonic price of each attribute and permit a number of hypotheses on the hedonic price relationship to be tested nonparametrically. In particular, we exploit results by Stinchcombe and White (Econom Theory 14:295?C324, 1998) in order to carry out misspecification testing in linear and semiloglinear hedonic models. The same approach directly applies to testing misspecification of any parametric specification for the hedonic relationship. A nonparametric significance test for the variables in the hedonic model is also proposed. The test extends the approach developed by Racine (J Bus Econ Stat 15(3):369?C378, 1997) in kernel-based nonparametric testing to ANN-based inference. The finite sample performance of the proposed tests is analyzed through Monte Carlo experiments, and simulation-based algorithms for computation of the null distribution of the tests are proposed. Then, the performance of three classes of regression models??linear, semi-log, and ANNs??applied to hedonic price modeling in a Spanish regional housing market is compared. Our results indicate the presence of nonlinear behavior, as predicted by economic theory, with the ANN-based tests detecting statistically significant evidence of misspecification??both in the linear and the semilog specifications??and ANN regressions providing moderate improvement of predictive performance.     

Do Female Managers Affect Productivity? Evidence from Zimbabwean Manufacturing Firms

Using a large dataset of Zimbabwean manufacturing firms extracted from the two waves of World Bank Enterprise Surveys of 2011 and 2016, the study investigates the impact of female management on firm's productivity in Zimbabwe's manufacturing firms. The study estimates a modified production function, to incorporate gender dimension, using a random effects estimation model. The results show that the effect of having a female manager on firm productivity varies by geographical location in the case of Zimbabwe. Specifically, the productivity of firms which have a female top manager, and are located in Harare, experience a negative productivity differential as they significantly reduce their productivity gap by 9.9 percent. On the other hand, the study found that having a female top manager in manufacturing firms located in Bulawayo significantly increases productivity by 7.9 percent compared to firms located in the Midlands area. We also find that the effect of a female manager on firm productivity differs by sectors, stressing the need for domestic economic policy to consider these dynamics. Given the importance of location in determining the contribution of a production manager on firm performance, the government may need to implement policies that consider location‐specific factors to enhance productivity of the manufacturing sector of Zimbabwe.