Profiling the segments of senior tourists throughout motivation and travel characteristics

Interest in tourism market segmentation of seniors has been increasing in recent years as the tourism industry has begun to be aware of their importance for the sector. This is a very heterogeneous group, with greater purchasing power and lifestyle-oriented entertainment and enjoyment of leisure time by performing travel than previous generations. This study strives to contribute towards the hitherto scarce research on segmentation in senior tourism. Specifically, this work aims to determine the existence of various profiles of senior tourism by means of using socio-demographic variables, motivation and characteristics of travel of seniors. For this, two complementary analysis techniques, the nonlinear canonical correlation (OVERALS) and a two-stage cluster analysis, were used. Five market segments were identified according to the behavioural variables analysed that allow marketers to target this group in the most convenient manner and to exploit new market opportunities.     

Uncertain availability,spatial location and regulation: An application to the airline industry

This paper presents an analysis of industries characterized by both uncertain availability and spatial location of the product. The analyis is applied to the US airline industry and is used to analyze the differential effect of price regulation on different markets and firms. From this analysis we obtain insights into which firms and markets may have benefited most from the deregulation of the industry in 1978. Previous works on the regulation of the airline industry implicitly assume that markets have the same demand structure. If airline services are of homogeneous quality, men we do not expect the unregulated solution to depend on demand structures. If on the other hand airline services vary in their quality component, then different markets may have different equilibrium price-quality combinations depending on the characteristics of demand. This paper explores the implication of different demand structures on the impact of (de)regulation.     

Prices,institutions, and determinants of supply in the Malian cotton sector

Cotton, both a source of livelihood for millions of poor rural households and a major source of export revenues, is a vital commodity for the economic and social development of Mali. Inefficiencies in the Malian cotton system at the ginnery and producers’ cooperative levels (e.g., late payment to farmers and poorly functioning credit schemes) have recently led to an important decline in supply, threatening the sustainability of the sector. Using regional data from 1998/1999 to 2008/2009, this study aims to quantitatively assess the contribution of key determinants, such as cotton prices and timely payment, toward the downward trend in cotton area. A dynamic supply model, based on adaptive expectations and partial adjustment, is employed to estimate the effects of prices and institutional factors, such as credit recovery rates and date of payment to farmers, on the Malian cotton supply. Results show that supply responds significantly to cotton prices relative to cereal and fertilizer prices. Date of payment varies across agricultural cycles and late payment negatively influences land devoted to cotton. Low credit repayment rates create disincentives to grow cotton. Therefore, the revitalization of the Malian cotton sector depends upon getting both prices and institutions right.     

Agricultural Policy Reform and Off‐farm Labour Decisions

Off‐farm labour decisions of a sample of Kansas farmers are evaluated. The central question of our analysis pertains to whether 1996 US farm policy reforms may have altered the decisions to work off the farm. The effects of policy decoupling on off‐farm labour are complex: different aspects of policy changes can have opposing effects on off‐farm work decisions. Essentially, this makes this issue an empirical question. Results show that the introduction of fixed, decoupled payments in 1996 might have reduced the likelihood of off‐farm labour participation. However, the new policy environment may have increased farm households’ revealed aversion to risk, motivating a higher participation in non‐farm labour markets. The effects of 1996 policy reforms on farm income variability could have been attenuated by changes in US crop insurance programmes and by an increase in emergency assistance payments towards the end of the 1990s. The reduction in price supports may have increased the motivation for working off the farm. The net effect of the overall reforms on off‐farm work participation is not likely to have been large.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Non‐parametric Modelling of Spatial Price Relationships

We apply non‐parametric methods to a consideration of price transmission processes within US egg markets at the turn of the nineteenth century. Gordon (National Bureau of Economic Research Working Paper 7833, 2000) labelled this as an era of ‘Great Inventions’ which contributed to the subsequent years of significant productivity growth and noted that the development of mechanical refrigeration and transportation technologies played an important role in this growth. Our models present certain advantages relative to parametric models traditionally employed in price transmission analyses. We compare results derived from local polynomial modelling with those obtained using non‐linear threshold models. Both techniques suggest that US egg markets were interrelated at the turn of the nineteenth century. However, non‐parametric techniques often suggest a higher degree of price transmission than that implied by threshold models. Results also suggest that threshold models may have difficulties in adequately capturing price relationship dynamics, especially when these are of a highly nonlinear nature.     

Inflation Stabilisation and the Consumption of Durable Goods

Exchange rate-based stabilisations in chronic-inflation countries have often been characterised by an initial consumption boom (which is most evident in the behaviour of durable goods) followed by a later contraction. This paper provides an explanation for such a boom-recession cycle based on the timing of purchases of durable goods. The initial fall in inflation results in a wealth effect which induces many consumers to bring forward their purchases of durable goods, thus generating an aggregate consumption boom. Since most consumers replenish their stock of durable goods at the beginning of the programme, a later slowdown follows.     

The hidden costs of being public: Evidence from multinational firms operating in an emerging market

I study how firms deal with business regulations that limit their operations. I first show that the ownership structure of a firm affects its degree of compliance with regulations, with publicly listed firms complying more than privately held ones. This differential compliance imposes a burden on listed firms that helps explain mergers and acquisitions patterns. When regulatory levels increase, private firms acquire listed ones and listed firms stop acquiring private ones. These results uncover an additional cost faced by listed companies, identify a new driver of M&A transactions, and show that high levels of regulation lead to opaque corporate structures.