Estimation of forest values using choice modeling: An application to Spanish forests

This paper presents a Choice Modeling application of forest goods and services valuation for an afforestation program in the Northeast of Spain. The results from a random parameter logit model reveal that, on average, individuals would annually pay an average of 11.79 euros for the forests to sequester 68,000 tones of CO₂, 0.12 euros for delaying the loss of land productivity for ten years, and 6.33 euros from picnic users for being allowed to picnic in the new forests. On the other hand, individuals would experience a loss in welfare equivalent to − 9.67 euros if four-wheel driving is allowed in the new forests. Finally, being allowed to pick mushrooms in the new forests is valued at an average of 12.82 euros by those who live in rural areas.     

Combining Contingent Valuation and Choice Experiments. A Forestry Application in Spain

When many good variants are to be valued, like in several forest management programs which differ in the attribute levels, the Contingent Valuation Method may not be a practical option, given the cost and time involved to value each variant separately. There are at least three alternative procedures in such situations. One (i) is to apply an attribute based valuation method like a Choice Experiment (CE); another (ii) is to conduct a CVM and a CE exercise and estimate a joint model; a third one (iii) is to use the CVM estimates to value a base scenario, and then use the CE results to adjust the CVM estimates for any new different scenario. A numerical simulation and an empirical application to an afforestation program in Spain show that the latter is the procedure that yields closer values to the CVM estimations, followed by (ii).      

Adapting the Servqual Scale to a Private Hospital Emergency Services： An Empirical Investigation

Most of the time, clients only have one opportunity to evaluate a service received in terms of quality and satisfaction; under this premise organizations have been concerned with developing, in a permanent manner, a quality evaluation culture in the services offered to their clients. To do this, procedures and methods that let them achieve it, have been implemented. That is the case of the model that concedes to measure and evaluate service quality, which is redefined and named Servqual, considering a multidimensional theoretical construct that explains the client＇s perception of quality service considering the differences between what is expected and what is received. Therefore, the goal of this study is to identify the factors that define the quality of emergency services provided by a private hospital in Hermosillo, Sonora, Mtxico, a sample of 384 patients, with a confidence level of 95% and a margin of permissible error of 5%. A questionnaire with 22 items was applied to measure the perceptions and expectations of users in terms of the quality of the service, which was subjected to an extensive evaluation of reliability and construct validity, with an estimate Cronbach＇s alpha of 95.6% and 97.9% respectively. The results showed that Servqual is a valid, reliable, and dependable instrument to monitor and measure the quality of the services offered in private hospitals in Hermosillo, and permit hospital administrators to identify opportunities or improvement areas, from the patients＇ perspective.     

Growth and the current account: Malaysia and Singapore

A foreign trade model is estimated for two South East Asian countries, selected because they represent two extremes as far as the current account balance is concerned—Malaysia, deficit, Singapore, surplus. The specification highlights, (a) the simultaneous interdependence of exports and import flows—a result of what Krugman [1995] denotes as the slicing up of the production process—and, (b) the impact of investment on imports as a result of productivity shocks on the current account. The estimation results point to the instability of the market for foreign exchange. Using an intertemporal framework, a methodology to derive the external long run equilibrium is applied to the estimated model. The implied constraint on domestic growth turns out to be mild. This research has been financed by the Dgicyt under grant PB94-1502, and the Junta de C. y L. under grant SA 35/97. The comments and suggestions of the editor of the journal and an anonymous referee are gratefully acknowledged. The paper has also benefited from the comments of the participants at the Fifty-First International Atlantic Economic Conference, March 13–20, 2001, Athens, Greece, and at the AEA conference on New Financial Instruments and Emerging Markets, Paris, 1998. Any possible remaining errors are the authors.     

Using resources in R&D policy planning: Brazil, the Amazon and biotechnology

Brazil's research and development (R&D) policies are examined in light of changes in economic direction especially as it pertains to competition. In a competitive environment, regions should develop industrial applications and expertise in areas that coincide with their resources. These could be human resources but could, as in the focus of this paper, be useful resources that differentiate the region from others in the world. This differentiation provides an advantage to the region. Brazil and its Amazon region has the large majority of the world's rare genes. In biotechnology, genes are “green gold,” and Brazil is slowly developing a biotechnology industry and beginning to tap into the Brazilian Amazon region's economic biotech potential. This region has enormous potential for the development of biotech-related technologies and products. This paper discusses the relationship between resources and an R&D strategy using as an example the recent developments in biotechnology research in Brazil and the role of the Amazon region in the development of a Brazilian biotechnology industry. It recommends a number of policy initiatives that will enhance Brazil's focus on biotechnology.     

Extreme observations and diversification in Latin American emerging equity markets

In this paper, we focus on the tails of the unconditional distribution of Latin American emerging markets stock returns. We explore their implications for portfolio diversification according to the safety first principle, first proposed by Roy [Econometrica (1952) 20, 431]. We find that the Latin American emerging markets have significantly fatter tails than industrial markets, especially, the lower tail of the distribution. We consider the implication of the safety first principle for a US investor who creates a diversified portfolio using Latin American stock markets. We find that a US investor gains by adding Latin American equity markets to her purely domestic portfolio. For different parameter specifications, we find a more realistic asset allocation than the one suggested by the literature based on the traditional mean-variance framework.     

Marketing Challenges and Opportunities in Emerging Economies: A Brazilian Perspective

This article describes the challenges and opportunities of marketing in an emerging economy, focusing on Brazil as an exemplar. The main features of the Brazilian economy are discussed with special attention given to the changing nature of the country's income distribution. Where Brazil once had a pyramid‐shaped income distribution typical of many less developed countries, this is rapidly giving way to a diamond‐shaped income distribution due to the emergence of a growing middle class. This, in turn, presents marketers with many opportunities ranging from franchise development to e‐commerce. At the same time, however, marketers are challenged by several features of the Brazilian economy, including poor logistics, corruption, and state interventionism, among other threats. © 2016 Wiley Periodicals, Inc.     

Doing business in Brazil: A strategic approach

Brazil has the largest economy in South America, and the second largest in Latin America, offering one of the most promising markets in the world. Along with China and India, Brazil is ranked among the nations with the highest predicted development rates in the next 25 years. In the early 2000s, Brazil accounted for 56% of all foreign direct investment flows to South America and 52.5% of the foreign direct investment stock in South America. Brazil is also a key player in the design and development of the Free Trade Agreement of the Americas (FTAA), which is scheduled to be effective by 2005. The FTAA is expected to be the world's largest regional trading block. In 2002, Brazil was ranked twelfth amongst the largest economies in the world. Brazil is one of the world's “Big Five” emerging markets, along with China, India, Mexico, and Indonesia. In the past decade, Brazil was second to China among emerging economies for received foreign direct investment. This article elaborates on the main aspects of doing business in Brazil and discusses some of the challenges and opportunities facing the Brazilian economy. © 2004 Wiley Periodicals, Inc.     

Under Performers and Over Achievers: A Quantile Regression Analysis of Growth

Numerous papers have searched for empirical linkages between long run economic growth and a myriad of economic, socio-political and environmental factors. Most of these studies use ordinary least-squares regression or panel regression analysis on a sample of countries and therefore consider the behaviour of growth around the mean of the conditional distribution. We extend the literature by using quantile regression to analyse long-term growth at a variety of points in the conditional distribution. By using this approach, we identify the determinants of growth for under performing countries relative to those for over achieving countries.