Becoming a tree when I will be dead? Why not! Generation X,Y and Z,and innovative green death practices

Within the theoretical field of ethical consumption, the study focuses on consumer behavior and innovative green death practices. While scarcely investigated in the marketing and consumer behavior research domains, at least four main reasons spur to consider the funeral industry as an interesting subject of enquiry: i) the sector boasts of a significant economic relevance; ii) it is extremely impactful from an environmental and social point of view; iii) it is witnessing interesting innovative processes in the direction of social and environmental sustainability; iv) consumer movements are rising all over the world asking for more sustainable death practices. Thus, adopting an augmented version of the theory of planned behavior (TPB), which includes individuals’ environmentally responsible consumption, and egoistic and altruistic environmental concern, the study investigates behavioral intention to adopt innovative green death practices (a green funeral) of people belonging to three different generations: X, Y, and Z. A purposive sample of 627 Italian people participated in an online the survey. Collected data were analyzed adopting an ordinal logit model. The results confirm the TPB predictive power also in the field of green funeral behavioral intention. Furthermore, environmentally responsible consumption and environmental concern – even though only in its altruistic component – positively influence behavioral intention, and generation exerts a moderating effect among the examined constructs. Overall, the research attempts to enrich the literature on ethical consumption by exploring the underinvestigated phenomenon of buying behavior of unsought and end-of-life products, that of green funerals, and provide managerial recommendations to funeral service sellers.     

Horticulture,livelihoods, and urban transition in Africa: evidence from South‐West Cameroon

This article documents change in periurban horticulture using repeat surveys in 1995 and 2004 of about 300 households around Muea, Cameroon. Real household incomes increased by 14%, with a large shift from farm to nonfarm income. Within agriculture, activity shifted from staple crops to horticulture, both for sale and in home consumption. In 1995, there were large remittances from farmers involved in periurban horticulture to their village of origin; in 2004 remittances continued and horticultural farmers were also heavily involved in informal financial associations. Periurban horticulture is disproportionately practiced by women and older workers, and plays an important and growing role in African livelihoods.     

Modelling the preference for business charter in the cross-strait market

This paper aims at investigating business travelers' choice behavior between business charter (BC) and the business class of commercial airlines in the cross-strait market. This study applies the stated preference method and sets five scenarios with the combination of various levels of fares, waiting time, privacy and expedient clearance services and inflight communication equipment. Data were collected by purposive sampling and interviewing business travelers near the VIP centers, departure lounges, and the baggage claim areas of Taiwan Taoyuan International Airport. A sample with 420 business travelers from Taipei to Shanghai was collected. Then, the binary logit model was employed to analyze how service attributes influence Taiwanese business travelers' choice behavior between BC and business class. Estimation results indicate that fare is the most important factor. Other factors such as gender, seniority, and the number of business trips during the previous year remain significant on the probabilities of choosing BC. Additionally, five specific features of BC were set as dummy variables in the model. Those are transfer time saving, travel time controlling, client entertainment, customer visits and international conference attendance. All of them have positive effects on the preference for using BC.     

Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006

This paper proposes an accessibility-based spatial mixed logit (SML) model with panel data structure to examine the impacts of High-Speed Rail (HSR) on land cover change in large urban areas. Using data between 1990 and 2006, impacts of the Spanish HSR on Madrid’s Atocha railway station influence area – a 20 km radius buffer centred on the station – were investigated. To model the HSR impacts, besides socioeconomic variables, the development of both local and regional transportation networks with corresponding accessibility improvement is also taken into account to segregate the impacts of land-cover change brought by different sources of accessibility measures. In this study, two SML models are used: one incorporates regional accessibility indicators as a base model, and the other does not, acting as a control model. The model estimation results reveal that the reduction of the local and regional weighted travel average time has positive impacts on the Atocha station catchment area’s urbanised land-cover rates. Although the base and control models both achieve high goodness-of-fit values, the base model that considers regional accessibility reveals a better goodness-of-fit statistic and is more robust than the control model. It is concluded that the improvement of regional accessibility due to the arrival of HSR at Atocha station plays an essential role in the urbanisation of land cover changes in the study area.     

The use of logit and probit models in strategic management research: Critical issues

The logit and probit models have become critical parts of the management researcher's analytical arsenal, growing rapidly from almost no use in the 1980s to appearing in 15% of all articles published in Strategic Management Journal in 2005. However, a review of three top strategy journals revealed numerous areas in their use and interpretation where current practice fell short of ideal. Failure to understand how these models differ from ordinary least squares can lead researchers to misunderstand their statistical results and draw incorrect conclusions regarding the theory they are testing. Based on a review of the methodological literature and recent empirical papers in three leading strategy journals, this paper identifies four critical issues in their use: interpreting coefficients, modeling interactions between variables, comparing coefficients between groups (e.g., foreign and domestic firms), and measures of model fit. For each issue, the paper provides a background, a review of current practice, and recommendations for best practice. A concluding section presents overall implications for the conduct of research with logit and probit models, which should assist both authors and readers of strategic management research. Copyright © 2007 John Wiley & Sons, Ltd.     

The value and effects of introducing high standard train and bus concepts in Blekinge, Sweden

A set of improvements were introduced on a railway line in the south of Sweden in January 1992, including a new train concept, improved timetable and lower fares. The new train replaced a combination of old rail cars and standard coaches (bus). Furthermore, 18 months later, a new high comfort coach (bus) service was introduced as a complement to the train timetable to increase the number of departures. Forecasts from a national four-step model system, based on Revealed Preference data, which did not cover explanatory factors like mode concept, comfort, mode image, was made and compared with a forecast based on stated preference data choice model. Both type of forecasts were compared to travel statistics. Stated Preference data have been collected from car drivers, coach and train passengers. The set of improvements have been included in the SP alternatives presented to the subjects. A structured logit model, a regression model and a linear programming model are compared. Unstructured and structured logit models are compared. Logit models have been estimated and used to form a mode choice model which predicts the changes in market shares between the train and car. The choice model forecast coincide, accidentally, with actual demand 8–9 months after the introduction of the set of improvements (a 40% increase in journeys). The set of improvements, including the new train service, has proven to be a success with more than 100% increase in travel after only two years of operation. Differences in estimated logit models for 1991 and 1992 are explained as partly due to asymmetry effects and partly to shortcomings in the SP data collection technique. Logit model estimates for train and coach are compared. The value of high standard coach service, running in parallel to the train, is estimated. The new coach gained few new passengers and also a much lower monetary value than the train by both train and bus passengers.     

Demand under product differentiation: an empirical analysis of the US wine market*

Oversupply has led to a number of perplexities for the Australian wine industry in recent times. When disaggregated from the industry level, however, the problem can be better described as a range of attribute‐specific disequilibria. To date, the solutions to this problem have predominantly revolved around supply‐side policies of reducing output through crop thinning or vine pulling. By contrast, this paper focuses on the demand side and argues that the disequilibria may be reduced by gaining a better understanding of the demand for Australian wine. A discrete choice model of product differentiation is used to estimate the demand for wine in Australia's second largest export market, the United States. Implications of the analysis are explored.     

Takeover Prediction and Portfolio Performance: A Note

This paper empirically tests whether it is possible to generate abnormal returns from investing in a portfolio of predicted successful takeover targets. Portfolios are formed on the basis of predictions from models similar to those estimated by Palepu (1986). However, unlike Palepu (1986), the portfolios in this paper are formed using a decision rule that results in smaller portfolios with higher average takeover probabilities. This provides a stronger test of whether share prices reflect future takeover probabilities. The results show that while the models have significant explanatory power, the portfolios fail to beat the return on the market over a 12-month holding-period.     

Understanding the Benefit Sought by Rural Tourists and Accommodation Preferences: A South Korea Case

Rural tourism has been widely acknowledged for its effectiveness in contributing to rural areas’ development. With strong government support, rural tourism has developed in many countries during the last several decades. This study aims to improve the understanding regarding tourism in Korean rural areas using a segmentation approach. The responses of 442 tourists in 23 rural villages were analyzed. Four segments of tourists were identified based on the different benefits they sought for their vacation in rural establishments. The estimation of a multinomial logit model determined the socio‐demographic characteristics and the preferred accommodations of a rural tourist. Discussions and implications of the detailed findings are provided in the last section. Copyright © 2012 John Wiley & Sons, Ltd.     

我国天然橡胶种植户生产行为的影响因素分析——基于橡胶价格持续低迷的背景

[目的]通过分析在天然橡胶价格持续低迷背景下种植户的生产行为,从农户及家庭特征、生产特征、市场因素和政策因素4个方面选取16项指标,研究影响天然橡胶种植户生产行为的因素。[方法]选取2015年在天然橡胶主植区云南、海南的农户调研数据,运用多元Logit模型分析天然橡胶种植户生产行为改变的影响因素。[结果]种植户生产行为选择降低和提高割胶频率是种植户权衡各类因素追求利益最大化而产生的不同行为模式,其中橡胶收入占比、种植年限、投入肥料变化、雇工割胶、生产成本、后期价格态度、补贴满意度、收益满意度8项因素对种植户选择降低割胶频率具有显著影响;受教育子女数量、种植规模、雇工割胶、是否享受补贴4项因素对种植户选择提高割胶频率具有显著影响。[结论]天然橡胶种植户的生产行为受多种因素共同作用,并且天然橡胶价格持续低迷破坏了天然橡胶产业的可持续发展。