The determinants of household recycling: social influence,public policies and environmental preferences

Our article aims at understanding the determinants of households’ selective waste-sorting behaviours, based on data from an original survey of 694 individuals in the French Provence–Alpes–Côte d’Azur region. The applied literature focuses mainly on countries with high recycling rates. We focus on a region with the lowest recycling rate in France, a country that recycles less than the European country average. We first apply polychoric principal components analysis to reduce the number of explanatory variables to a set of six factors. In a second step, we use a probit model to estimate the probability of waste sorting as a function of these factors. This model tests several hypotheses emerging from the recent literature on behavioural economics applied to households’ selective sorting. This literature pays particular attention to the social influence on recycling behaviour, which has been studied mostly by sociologists and psychologists. The results of our empirical analysis confirm some of the findings in the literature. However, they also highlight some unique features, such as social influences having a negative impact on recycling. This finding contrasts with most of the literature, which finds a positive relationship of social influence on pro-environmental behaviour.     

Cost-effectiveness of a continuous glucose monitoring system with trending and rate information to predict hypoglycaemia and hyperglycaemia in pregnant women with insulin-dependent diabetes mellitus

Summary

This study seeks to determine the cost-effectiveness of the FreeStyle Navigator? continuous glucose monitoring system compared with self-monitoring of blood glucose (SMBG) when predicting hypoglycaemia and hyperglycaemia in pregnant women with insulin-dependent diabetes mellitus. A Markov model was constructed, and initial model analysis demonstrates that use of the FreeStyle Navigator? by a patient who is trained in diabetes management is more cost-effective than SMBG, resulting in an incremental cost-effectiveness ratio of $267 per quality-adjusted life-month ($3,204 per quality-adjusted life-year). The real-time glucose level rate of change and trend information provided by the FreeStyle Navigator? allows appropriately trained patients to improve upon decisions regarding self-treatment to prevent hypoglycaemic and hyperglycaemic episodes, resulting in a lower treatment cost and higher effectiveness than untrained patients. Based on current performance attributes, a device such as the FreeStyle Navigator? would be more cost-effective than other glucose-monitoring devices, meeting the $50,000/QALY willingness-to-pay threshold used by payers for adoption of new technology.     

Irbesartan and amlodipine in the treatment of patients with microalbuminuria,hypertension and type 2 diabetes in Taiwan: a modelling projection over 25 years

Summary

This modelling study aimed to evaluate the long-term cost effectiveness of four treatment strategies: early irbesartan; late irbesartan; amlodipine; and standard hypertensive treatment in patients with diabetes, hypertension and microalbuminuria in Taiwan. A Markov model was used to project costs and clinical outcomes over lifetimes.

Early irbesartan (initiated in microalbuminuric patients) yielded the largest improvements in life expectancy (0.78 years) compared with standard treatment. Late irbesartan and amlodipine (started in patients with overt nephropathy) also resulted in slight improvements in life expectancy (0.109 and 0.001 years, respectively). Both early and late irbesartan reduced lifetime costs compared with control (US$7,603 and US$3,233, respectively), whereas amlodipine increased lifetime costs by US$300. Improvements were attributed to reductions in the cumulative incidence of end-stage renal disease with early use of irbesartan.

Treating hypertensive diabetic patients with early irbesartan was projected to be life extending and cost saving, and to reduce the incidence of ESRD in Taiwan.     

Operational efficiency analysis of Beijing multi-airport terminal airspace

Multi-airport systems are growing in number and size globally, despite being afflicted by known inefficiencies due to the interferences between the flows of neighbouring airports. A macroscopic empirical approach is proposed in this paper to estimate the capacity penalties and demonstrated by a numerical case study for Beijing, which is projected to become one of the busiest metroplexes in Asia. The Pareto envelopes of the theoretical and observed peak hour capacities are statistically analysed to quantify the penalties in a comparable metroplex and are subsequently modulated by a sigmoid correlation function. The analysis predicts the practical capacity of Daxing, the penalty incurred by the pre-existing Capital airport and by the total multi-airport system. Various findings are drawn and discussed, highlighting the needs for further research.     

Global models for a global pandemic: The impact of COVID-19 on small euro area economies

We analyse the COVID-19 pandemic shock on small open economies (SOEs) in the euro area in a unified modelling framework: the Euro Area and the Global Economy model. We find strong negative international spillovers affecting each of the modelled SOEs, stemming not only from the rest of the euro area, but also from the United States and the rest of the world. A lower bound on nominal interest rates in the euro area amplifies these spillovers, especially within the euro area. Furthermore, we find some positive spillovers from the fiscal measures implemented in the Euro area to combat the pandemic, including the new Next Generation EU instrument.     

Labour-saving technologies in smallholder agriculture: An economy-wide model with field operations

Labour-saving technologies are relevant for agricultural development. Yet, as this study shows, they are poorly integrated into agricultural production functions of economy-wide models. We report a computable general equilibrium (CGE) model, which explicitly incorporating field operations (e.g. land preparation, weeding or harvesting) in the context of smallholder agriculture. The field operations approach allows to model technological trade-offs in organic and conventional production systems at various stages of the agricultural production process. Simulating a structural change scenario, we compare the performance of the field operations approach with published benchmark production structures by assessing how they replicate empirically observed changes in land and agrochemical use. This benchmark analysis shows that incorporating field operations replicates the observed empirical changes most accurately and allows for more realistic modelling of labour-saving technologies. We use the field operations model to investigate three policy options to mitigate labour shortages in the agricultural sector of Bhutan. Permitting the employment of Indian workers in agriculture has the highest short-term potential in this respect. We find that subsidising agricultural machinery hiring services and removing import tariffs on agrochemical inputs are found to be less effective. Further options for model developments, such as combining field operations and labour market seasonality, are highlighted.     

All hype or the real deal? Investigating user engagement with virtual influencers in tourism

Virtual influencer (VI) marketing has become increasingly prevalent on social media with the evolving landscape of digitalisation. However, the use of VIs in tourism has received limited attention in the literature. This study examines salient source and content attributes that stimulate Instagram users’ engagement with VIs in a tourism context. An online discrete choice experiment was designed using key attributes (i.e. source realness, image composition and caption discourse) identified from online focus groups. Survey responses from 309 adult Instagram users in Australia were analysed through discrete choice modelling. The findings indicate that humanlike VIs are preferred over 3D animated VIs and the least preferred influencers are 2D animated VIs. Instagram posts from humanlike VIs that combine images of tourism settings with rational messages attract the most engagement from the audience. Theoretical and practical implications are provided with recommendations for how tourism practitioners can harness VI marketing effectively.     

Promoting cost efficiency and uniformity in parcel delivery centre locations and service areas: a GIS-based analysis

This paper provides a systematic framework to determine local delivery centre (LDC) locations and service areas to reduce delivery costs and balance the allocation of parcel delivery loads to promote sustainable LDC development. Based on a case study of a parcel distribution company in Korea, this study proposes two strategies for LDC service area delineation within each terminal service boundary that either minimises the total delivery time or balances the allocation of delivery loads. This research contributes to improving cost efficiency and balancing delivery load allocations in planning LDC locations and service areas that can potentially promote the long-term mutual sustainable development of parcel distribution companies and their local delivery counterparts.     

Exploring business process modelling paradigms and design-time to run-time transitions

The business process management literature describes a multitude of approaches (e.g. imperative, declarative or event-driven) that each result in a different mix of process flexibility, compliance, effectiveness and efficiency. Although the use of a single approach over the process lifecycle is often assumed, transitions between approaches at different phases in the process lifecycle may also be considered. This article explores several business process strategies by analysing the approaches at different phases in the process lifecycle as well as the various transitions.