The effects of perceived value on loyalty: the moderating effect of market orientation adoption

This paper aims to identify the moderating effect of service firms’ adoption of market orientation on key variables of consumer behavior, namely perceived value and loyalty. The study took a business-to-customer perspective. First, the adoption of market orientation was measured, from the firm’s point of view. Second, customer perceptions were analyzed, using the two variables perceived value and loyalty. The sample comprised 100 service firms and 572 of their customers. The present work provides original insights, identifying that the effect of perceived value on loyalty depends on other variables external to the consumer, such as the market orientation approach.     

Risk premia in forward exchange rates: systematic or unsystematic?

International traders frequently use forward exchange transactions to hedge their cash flows in foreign currencies. A key issue is whether the forward rates are efficiently priced. There is evidence of time-varying risk premia in forward exchange rates. Are these risk premia systematic or unsystematic? This article uses a market model to explain risk, implying that the risk premium in the forward rate varies pari passu with the beta of the return to speculative forward positions. Assuming the unobserved risk premium is proportional to the forward premium allows testing the predicted relations; the data reject the joint hypotheses of the model and systematic risk. In terms of a simple factor model explaining the covariation of the forward premium, the risk premium, and the expected percentage rate of change of the spot exchange rate, the assumption that the forward premium and the risk premium are proportional can be relaxed without changing the empirical results.     

The nonobserved economy in the European Union

To better understand the share of the nonobserved economy (NOE) in the European Union, especially on the PIIGS, we estimate, through the multiple indicators multiple causes model, the path between 1980 and 2013. The model includes (i) the tax burden (disaggregated into direct and indirect taxes), a proxy of regulation burden, the unemployment rate and self-employment as causes of the NOE economy; (ii) the GDP and the labour force participation ratio as indicators of the NOE economy. In particular, the estimated weight of NOE as a percentage of official GDP was always higher in the PIIGS group.     

THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

Strategic planning of complex economic systems ∗

A major drawback of conventional models of the behavior of economic systems (and derived tools for policy intervention) is that the desire for tractability leads generally to a high degree of abstraction from reality. This article suggests an alternative, and arguably complementary, approach which engages specifically with economic complexity. The technique used is one of interactive spatial modelling over long time periods where the principle economic agents base decisions on incomplete heuristic information. For illustrative purposes the model has been calibrated on the basis of Senegalese data for 1981–91 and broad generic equations presented. The article argues that such a methodological approach holds out considerable advantages for strategic planning of sustainable economic systems. In particular it permits the direct engagement of noneconomic disciplines and client stakeholders in the planning process.     

Unspoken demands for farm technology

For three years in Bolivia (2002–2005) the INNOVA Project finished researching several technologies for sustainable agriculture, started by earlier DFID-funded projects. Before INNOVA started critics suggested that these technologies should be discarded in favour of a demand survey. Instead, INNOVA kept the existing technologies, but judged the demand for them with several methods (CIAL, sondeo technology fair, and others). INNOVA found that there was demand for some of the technologies, but that a survey would have missed much of the demand, which is implicit. That is, people are not initially aware of all their problems or of all the possible solutions. Over the years, farmers made more specific, sophisticated demands on the technologies, which evolved as a result. Demand and supply of farm technology are like two sides of an unfolding conversation.     

Early Smithian economics in the Spanish empire: J. H. Vieytes and colonial policy *

Juan Hipolito Vieytes (1762–1815)was a hero of the May 1810 Revolution in Buenos Aires and one of the early economists in the River Plate area. Although Robert Sidney Smith dismissed Vieytes as a very minor figure in Spanish economic thought, this article attempts to show that Vieytes, an entrepreneur and journalist and only self-taught in political economy, was an early and able follower and divulgator of Smithian economics. He advocated free trade and liberal economic reforms, pointing at the competitiveness of the domestic workshops or ‘popular industry’ in a country with scanty population and extensive and cheap land.     

Rising Food Prices and Household Welfare: Evidence from Brazil in 2008

Food price inflation in Brazil in the 12 months to June 2008 was 18%, whereas overall inflation was 7%. Using spatially disaggregated monthly data on consumer prices and two different household surveys, we estimate the welfare consequences of these food price increases, and their distribution across households. Because Brazil is a large food producer, with a predominantly wage‐earning agricultural labour force, our estimates include general equilibrium effects on market and transfer incomes, as well as the standard estimates of changes in consumer surplus. Although the expenditure (or consumer surplus) effects were large, negative and markedly regressive everywhere, estimates of the market‐income effect were positive and progressive, particularly in rural areas. Because of this effect on the rural poor, and of the partial protection afforded by increases in two large social assistance benefits, the overall impact of higher food prices in Brazil was U‐shaped, with middle‐income groups suffering larger proportional losses than the very poor. Nevertheless, as Brazil is 80% urban, higher food prices still led to a greater incidence and depth of poverty at the national level.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.